Hi
Hi! I'm Orris. How can I help you today?
I want to make slides for my case prestation
Asking for Preferences
I will give you a case and convert it into the SOAP note according to this form Subjective evidence Objective evidence Assessment- Diagnosis, etiology Plan -pharmacological & non pharmacological therapy Goals of therapy Monitoring parameters Points to patient -About disease , about medication , life style modification
Perfect! Go ahead and share the case, and I'll convert it into a structured SOAP note following your format:
- Subjective evidence
- Objective evidence
- Assessment (Diagnosis, Etiology)
- Plan (Pharmacological & Non-pharmacological therapy)
- Goals of therapy
- Monitoring parameters
- Points to patient (Disease info, Medication, Lifestyle modification)
Once you share the case, I'll also build it into presentation slides. Paste the case whenever you're ready!
analyse_media
analyse_media
analyse_media
Reading File
Reading File
Running Command
mkdir -p /tmp/workspace/soap-mi-case && ls /tmp/workspace/
Writing File
~/soap-mi-case/create_pptx.py
from pptx import Presentation
from pptx.util import Inches, Pt, Emu
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN, MSO_ANCHOR
from io import BytesIO
prs = Presentation()
prs.slide_width = Inches(13.333)
prs.slide_height = Inches(7.5)
# ─── COLOUR PALETTE ───────────────────────────────────────────────────────────
DARK_BLUE = RGBColor(0x1A, 0x3A, 0x5C) # header background
MED_BLUE = RGBColor(0x21, 0x5F, 0x9E) # section titles
LIGHT_BLUE = RGBColor(0xD6, 0xE8, 0xF7) # content background
ACCENT_RED = RGBColor(0xC0, 0x39, 0x2B) # accent / highlight
WHITE = RGBColor(0xFF, 0xFF, 0xFF)
DARK_GRAY = RGBColor(0x2C, 0x2C, 0x2C)
LIGHT_GRAY = RGBColor(0xF4, 0xF7, 0xFB)
MID_GRAY = RGBColor(0x7F, 0x8C, 0x9B)
blank_layout = prs.slide_layouts[6]
# ─── HELPERS ──────────────────────────────────────────────────────────────────
def add_rect(slide, x, y, w, h, fill_rgb, line_rgb=None, line_width_pt=0):
from pptx.util import Pt as _Pt
shape = slide.shapes.add_shape(1, Inches(x), Inches(y), Inches(w), Inches(h))
shape.fill.solid()
shape.fill.fore_color.rgb = fill_rgb
if line_rgb:
shape.line.color.rgb = line_rgb
shape.line.width = _Pt(line_width_pt)
else:
shape.line.fill.background()
return shape
def add_textbox(slide, x, y, w, h, text, font_size, bold=False, color=DARK_GRAY,
align=PP_ALIGN.LEFT, italic=False, wrap=True):
tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
tf = tb.text_frame
tf.word_wrap = wrap
tf.margin_left = Inches(0.05)
tf.margin_right = Inches(0.05)
tf.margin_top = Inches(0.03)
tf.margin_bottom = Inches(0.03)
p = tf.paragraphs[0]
p.alignment = align
run = p.add_run()
run.text = text
run.font.size = Pt(font_size)
run.font.bold = bold
run.font.italic = italic
run.font.color.rgb = color
run.font.name = "Calibri"
return tb
def add_bullet_box(slide, x, y, w, h, items, font_size=11, color=DARK_GRAY,
bold_first=False, heading=None, heading_color=MED_BLUE):
tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
tf = tb.text_frame
tf.word_wrap = True
tf.margin_left = Inches(0.1)
tf.margin_right = Inches(0.05)
tf.margin_top = Inches(0.05)
tf.margin_bottom = Inches(0.03)
first = True
if heading:
p = tf.paragraphs[0]
p.alignment = PP_ALIGN.LEFT
r = p.add_run()
r.text = heading
r.font.size = Pt(font_size + 1)
r.font.bold = True
r.font.color.rgb = heading_color
r.font.name = "Calibri"
first = False
for i, item in enumerate(items):
if first and i == 0:
p = tf.paragraphs[0]
else:
p = tf.add_paragraph()
p.alignment = PP_ALIGN.LEFT
p.space_before = Pt(2)
r = p.add_run()
r.text = item
r.font.size = Pt(font_size)
r.font.bold = (bold_first and i == 0)
r.font.color.rgb = color
r.font.name = "Calibri"
return tb
def slide_header(slide, title, subtitle=None):
# Top bar
add_rect(slide, 0, 0, 13.333, 1.1, DARK_BLUE)
# College name
add_textbox(slide, 0.3, 0.05, 12, 0.45,
"Shri Vishnu College of Pharmacy — Department of Pharmacy Practice",
10, bold=False, color=WHITE, align=PP_ALIGN.LEFT)
# Slide title
add_textbox(slide, 0.3, 0.45, 11, 0.6, title, 26, bold=True,
color=WHITE, align=PP_ALIGN.LEFT)
if subtitle:
add_textbox(slide, 0.3, 0.48, 11, 0.55, subtitle, 13,
color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.RIGHT)
# Bottom accent bar
add_rect(slide, 0, 7.3, 13.333, 0.2, MED_BLUE)
add_textbox(slide, 0.2, 7.3, 12.9, 0.2,
"Case Presentation | Anterior Wall MI | SVCP 2026",
8, color=WHITE, align=PP_ALIGN.CENTER)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 1 — TITLE SLIDE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, DARK_BLUE)
add_rect(slide, 0, 2.8, 13.333, 2.3, MED_BLUE)
add_textbox(slide, 1, 0.4, 11.333, 0.9,
"Shri Vishnu College of Pharmacy", 18, bold=False,
color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 0.9, 11.333, 0.6,
"Department of Pharmacy Practice", 14, bold=False,
color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.CENTER)
add_textbox(slide, 0.5, 2.85, 12.333, 1.0,
"CASE PRESENTATION", 38, bold=True,
color=WHITE, align=PP_ALIGN.CENTER)
add_textbox(slide, 0.5, 3.8, 12.333, 0.65,
"Anterior Wall Myocardial Infarction (STEMI)", 22, bold=True,
color=RGBColor(0xFF, 0xD7, 0x00), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 5.1, 11.333, 0.5,
"Patient: S.M.R. | Age: 59 yrs | Gender: Male | Ward: ICU", 14,
color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 5.7, 11.333, 0.45,
"Admission: 26/07/2026 | Discharge: 29/07/2026", 13,
color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.35, 11.333, 0.45,
"IP No: 102992 | SOAP Note Format", 12,
color=MID_GRAY, align=PP_ALIGN.CENTER)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 2 — PATIENT DEMOGRAPHICS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Patient Demographics", "Case Overview")
# Two columns of info boxes
cols = [
("Patient Information",
["Name: S.M.R.", "Age: 59 years", "Gender: Male",
"Ward/Dept: ICU", "IP No: 102992"]),
("Admission Details",
["Date of Admission: 26/07/2026", "Date of Discharge: 29/07/2026",
"Duration of Stay: 3 days", "Occupation: ONGC Employee",
"Locality: Narasapur"]),
("Social History",
["Diet: Mixed", "Marital Status: Married",
"Smoking: Not recorded", "Alcohol: Not recorded"]),
("Allergic History",
["No known drug/food/environmental allergies recorded"]),
]
positions = [(0.3, 1.3), (4.7, 1.3), (0.3, 4.1), (4.7, 4.1)]
dims = [(4.2, 2.5), (4.2, 2.5), (4.2, 2.5), (4.2, 1.5)]
for (title, items), (cx, cy), (cw, ch) in zip(cols, positions, dims):
add_rect(slide, cx, cy, cw, ch, WHITE,
line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, cx, cy, cw, 0.38, MED_BLUE)
add_textbox(slide, cx+0.1, cy+0.02, cw-0.2, 0.35, title,
12, bold=True, color=WHITE)
add_bullet_box(slide, cx+0.15, cy+0.45, cw-0.25, ch-0.5,
["• " + i for i in items], font_size=11)
# Physical exam box on the right
add_rect(slide, 9.2, 1.3, 3.9, 5.9, WHITE, line_rgb=ACCENT_RED, line_width_pt=2)
add_rect(slide, 9.2, 1.3, 3.9, 0.38, ACCENT_RED)
add_textbox(slide, 9.3, 1.32, 3.7, 0.35, "Physical Examination",
12, bold=True, color=WHITE)
add_bullet_box(slide, 9.3, 1.75, 3.7, 5.2,
["CVS: S1, S2 heard (+)",
"No murmurs documented",
"Respiratory System: Not documented",
"CNS: Not documented",
"GIT: Not documented"], font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 3 — VITALS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Vital Signs Trend", "Objective Evidence")
# Table header
hx, hy, hw = 0.4, 1.3, 12.5
row_h = 0.55
headers = ["Parameter", "Day 1 (26/7)", "Day 2 (27/7)", "Day 3 (28/7)", "Normal Range"]
col_widths = [2.8, 2.2, 2.2, 2.2, 3.1]
# Header row
cx = hx
for h, cw in zip(headers, col_widths):
add_rect(slide, cx, hy, cw, row_h, DARK_BLUE)
add_textbox(slide, cx+0.05, hy+0.07, cw-0.1, row_h-0.1,
h, 12, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
cx += cw
rows = [
("Blood Pressure (mmHg)", "130/90", "100/60", "110/70", "< 120/80"),
("Respiratory Rate (cpm)", "20", "25", "–", "12–20"),
("Pulse Rate (bpm)", "87", "112", "98", "60–100"),
("Temperature (°F)", "98", "98", "Normal", "97–99"),
("SpO₂ (%)", "95", "96", "98", "≥ 95"),
]
for r_i, row in enumerate(rows):
bg = WHITE if r_i % 2 == 0 else LIGHT_BLUE
cy = hy + row_h * (r_i + 1)
cx = hx
for val, cw in zip(row, col_widths):
add_rect(slide, cx, cy, cw, row_h, bg,
line_rgb=MED_BLUE, line_width_pt=0.5)
bold = (cx == hx)
col = MED_BLUE if bold else DARK_GRAY
# Flag abnormal
if val in ("100/60", "112", "25", "95"):
col = ACCENT_RED
add_textbox(slide, cx+0.05, cy+0.08, cw-0.1, row_h-0.1,
val, 12, bold=bold, color=col, align=PP_ALIGN.CENTER)
cx += cw
add_textbox(slide, 0.4, 6.55, 12.5, 0.45,
"⚠ Highlighted values indicate clinically significant deviations — "
"hypotension (Day 2: BP 100/60), tachycardia (Day 2: PR 112), low SpO₂ (Day 1: 95%)",
11, italic=True, color=ACCENT_RED)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 4 — SUBJECTIVE EVIDENCE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "S — Subjective Evidence", "Patient-Reported Symptoms")
# Chief complaints box
add_rect(slide, 0.4, 1.25, 6.1, 5.8, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 0.4, 1.25, 6.1, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 5.9, 0.38, "Chief Complaints (C/O)",
13, bold=True, color=WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.8, 5.0,
["• Chest pain",
"• Radiating to left hand",
"• Profuse sweating",
"• History of palpitations",
"",
"Onset: Acute",
"Duration: At admission (26/07/2026)"],
font_size=13)
# Past medical / medication history
add_rect(slide, 6.8, 1.25, 6.2, 2.7, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 6.8, 1.25, 6.2, 0.42, MED_BLUE)
add_textbox(slide, 6.9, 1.27, 6.0, 0.38, "Past Medical History (PMH)",
13, bold=True, color=WHITE)
add_bullet_box(slide, 6.95, 1.75, 5.9, 2.1,
["• s/p Mitral Valve Replacement (MVR) — 2009",
"• Coronary Artery Disease (CAD) — known"],
font_size=13)
add_rect(slide, 6.8, 4.25, 6.2, 2.8, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 6.8, 4.25, 6.2, 0.42, MED_BLUE)
add_textbox(slide, 6.9, 4.27, 6.0, 0.38, "Past Medication History",
13, bold=True, color=WHITE)
add_bullet_box(slide, 6.95, 4.75, 5.9, 2.1,
["• Not documented on admission form",
"• Patient is a known CAD case — likely on",
" antiplatelet/statin therapy prior to admission"],
font_size=12)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 5 — OBJECTIVE EVIDENCE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "O — Objective Evidence", "Investigations & Findings")
# Radiology
add_rect(slide, 0.4, 1.25, 8.0, 3.2, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 0.4, 1.25, 8.0, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 7.8, 0.38,
"Radiological Investigations", 13, bold=True, color=WHITE)
add_bullet_box(slide, 0.55, 1.75, 7.8, 2.5,
["Coronary Angiography (CAG):",
"• CAD — Double Vessel Disease",
"• Vessels involved: LAD (Left Anterior Descending)",
" D1 (First Diagonal Branch) & LCx (Left Circumflex Artery)",
"• Findings consistent with Anterior Wall STEMI"],
font_size=12.5)
# Pathology
add_rect(slide, 0.4, 4.65, 8.0, 2.4, WHITE, line_rgb=MID_GRAY, line_width_pt=1)
add_rect(slide, 0.4, 4.65, 8.0, 0.38, MID_GRAY)
add_textbox(slide, 0.5, 4.67, 7.8, 0.35, "Pathology / Microbiology Labs",
12, bold=True, color=WHITE)
add_bullet_box(slide, 0.55, 5.1, 7.8, 1.8,
["• Lab data not documented in the case profile",
"• Expected workup: Troponin I/T, CK-MB, CBC, RFT, LFT, Lipid profile, BGL, Coagulation studies"],
font_size=11.5, color=MID_GRAY)
# Physical findings summary
add_rect(slide, 8.7, 1.25, 4.3, 5.8, WHITE, line_rgb=ACCENT_RED, line_width_pt=2)
add_rect(slide, 8.7, 1.25, 4.3, 0.42, ACCENT_RED)
add_textbox(slide, 8.8, 1.27, 4.1, 0.38,
"Physical Findings", 13, bold=True, color=WHITE)
add_bullet_box(slide, 8.8, 1.75, 4.1, 5.1,
["CVS Exam:",
"• S1 and S2 heard (+)",
"• No added sounds documented",
"",
"Vitals Summary:",
"• BP: Hypotension on Day 2",
"• HR: Tachycardia on Day 2",
"• SpO₂: 95% on admission",
"• Temperature: Normal",
"",
"No Known Allergies"],
font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 6 — ASSESSMENT
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "A — Assessment", "Diagnosis & Etiology")
# Diagnosis boxes
add_rect(slide, 0.4, 1.25, 6.0, 2.4, WHITE, line_rgb=ACCENT_RED, line_width_pt=2)
add_rect(slide, 0.4, 1.25, 6.0, 0.42, ACCENT_RED)
add_textbox(slide, 0.5, 1.27, 5.8, 0.38, "Provisional Diagnosis",
13, bold=True, color=WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.8, 1.8,
["Anterior Wall Myocardial Infarction (STEMI)",
"— Based on symptoms, ECG findings & CAG"],
font_size=13)
add_rect(slide, 6.8, 1.25, 6.2, 2.4, WHITE, line_rgb=MED_BLUE, line_width_pt=2)
add_rect(slide, 6.8, 1.25, 6.2, 0.42, MED_BLUE)
add_textbox(slide, 6.9, 1.27, 6.0, 0.38, "Final Diagnosis",
13, bold=True, color=WHITE)
add_bullet_box(slide, 6.95, 1.75, 5.9, 1.8,
["CAD — Double Vessel Disease",
"(LAD + D1 + LCx involvement)",
"Anterior Wall STEMI"],
font_size=13)
# Etiology
add_rect(slide, 0.4, 3.9, 12.6, 3.3, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 0.4, 3.9, 12.6, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 3.92, 12.4, 0.38, "Etiology / Risk Factors",
13, bold=True, color=WHITE)
etio_left = [
"Atherosclerosis:",
"• Plaque rupture → coronary thrombosis → ischemia",
"• Double vessel disease: LAD + D1 + LCx",
"",
"Cardiac Risk Factors:",
"• Age: 59 years (male > 45 yrs = risk factor)",
"• Known CAD (pre-existing)",
]
etio_right = [
"Contributory History:",
"• s/p MVR (2009) — structural cardiac disease",
"• Mixed diet (possible dyslipidemia)",
"",
"Haemodynamic Consequences:",
"• Hypotension (Day 2) — cardiogenic component",
"• Tachycardia (Day 2) — compensatory response",
]
add_bullet_box(slide, 0.6, 4.4, 6.0, 2.6, etio_left, font_size=12)
add_bullet_box(slide, 6.9, 4.4, 6.0, 2.6, etio_right, font_size=12)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 7 — PLAN (Medications)
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "P — Plan: Pharmacological Therapy", "Current Medication Chart")
# Medication table
hx, hy = 0.3, 1.3
col_widths2 = [3.2, 1.5, 0.9, 1.0, 5.5]
headers2 = ["Drug (Generic Name)", "Dose", "Route", "Freq.", "Indication / Rationale"]
row_h2 = 0.48
cx = hx
add_rect(slide, hx, hy, sum(col_widths2), row_h2, DARK_BLUE)
for h, cw in zip(headers2, col_widths2):
add_textbox(slide, cx+0.04, hy+0.05, cw-0.08, row_h2-0.08,
h, 11, bold=True, color=WHITE, align=PP_ALIGN.CENTER)
cx += cw
meds = [
("Tab. Ivabradine (IVABRАД)", "5 mg", "P/O", "BD", "Heart rate reduction in CAD / heart failure"),
("Syp. Gelucil MPS", "10 mL", "P/O", "BD", "GI protection / antacid (stress ulcer prophylaxis)"),
("Inj. Heparin", "5000 U", "IV", "Q12H", "Anticoagulation — prevent coronary re-thrombosis"),
("Tab. Pantoprazole (PANTOP)", "40 mg", "P/O", "OD", "Proton pump inhibitor — GI protection"),
("Tab. Aspirin (SORPIN)", "75 mg", "P/O", "OD", "Antiplatelet — prevent platelet aggregation in ACS"),
("Tab. Clopidogrel (CLOPITAN)", "75 mg", "P/O", "OD", "Antiplatelet — dual antiplatelet therapy (DAPT)"),
("Tab. Atorvastatin (ATOCAR)", "40 mg", "P/O", "HS", "Statin — plaque stabilisation, LDL reduction"),
("Tab. Metoprolol (PLANAR)", "25 mg", "P/O", "OD", "Beta-blocker — HR control, cardioprotection"),
("Tab. Daptor (DAYTOR)", "20 mg", "P/O", "BD½", "Antithrombotic adjunct (query: Dabigatran/Dapagliflozin)"),
("Tab. Ranolazine (RANOTEX)", "500 mg", "P/O", "BD", "Anti-anginal — reduces cardiac ischaemia"),
("Tab. Trimetazidine MR (TIMZID-MR)", "35 mg", "P/O", "BD", "Metabolic cardioprotection — anti-ischaemic"),
]
for r_i, row in enumerate(meds):
bg = WHITE if r_i % 2 == 0 else LIGHT_BLUE
cy = hy + row_h2 * (r_i + 1)
cx = hx
for val, cw in zip(row, col_widths2):
add_rect(slide, cx, cy, cw, row_h2, bg,
line_rgb=MED_BLUE, line_width_pt=0.3)
add_textbox(slide, cx+0.04, cy+0.05, cw-0.08, row_h2-0.08,
val, 10, color=DARK_GRAY, align=PP_ALIGN.LEFT)
cx += cw
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 8 — NON-PHARMACOLOGICAL PLAN
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "P — Plan: Non-Pharmacological Therapy", "Supportive Management")
sections = [
("Immediate In-Hospital Measures",
["• Bed rest (complete) in ICU — minimize oxygen demand",
"• Continuous cardiac monitoring (ECG telemetry)",
"• IV access secured — fluid management as required",
"• Supplemental oxygen therapy (maintain SpO₂ ≥ 95%)",
"• Vital signs monitoring: BP, HR, RR, SpO₂ — continuous",
"• Haemodynamic support if cardiogenic shock develops"]),
("Dietary Recommendations",
["• Low-sodium diet (< 2 g/day) — reduce cardiac load",
"• Low-fat, low-cholesterol diet",
"• Avoid caffeine and stimulants",
"• Small, frequent meals — reduce vagal stimulation",
"• Adequate hydration (monitored)"]),
("Cardiac Rehabilitation (Post-discharge)",
["• Supervised cardiac rehab programme",
"• Graded physical activity — start with walking",
"• Avoid strenuous activity for 4–6 weeks",
"• Stress reduction techniques (yoga, meditation)",
"• Regular follow-up with cardiologist"]),
("Medical Management (Plan of Care)",
["• Medical management — as documented in case form",
"• Coronary angiography performed — CAG result: DVDs",
"• Planned: PCI (Percutaneous Coronary Intervention)",
" if anatomically suitable (LAD + D1 + LCx disease)",
"• CABG consideration if multi-vessel disease refractory"]),
]
positions2 = [(0.3, 1.25), (6.9, 1.25), (0.3, 4.35), (6.9, 4.35)]
dims2 = [(6.3, 2.85), (6.1, 2.85), (6.3, 2.85), (6.1, 2.85)]
for (stitle, sitems), (sx, sy), (sw, sh) in zip(sections, positions2, dims2):
add_rect(slide, sx, sy, sw, sh, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, sx, sy, sw, 0.4, MED_BLUE)
add_textbox(slide, sx+0.1, sy+0.03, sw-0.2, 0.35, stitle,
12, bold=True, color=WHITE)
add_bullet_box(slide, sx+0.15, sy+0.47, sw-0.25, sh-0.55,
sitems, font_size=11)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 9 — GOALS OF THERAPY
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Goals of Therapy", "Short-term & Long-term Targets")
short_goals = [
"1. Restore coronary blood flow and limit infarct size",
"2. Relieve chest pain and ischaemic symptoms",
"3. Prevent life-threatening arrhythmias",
"4. Maintain haemodynamic stability (BP, HR, SpO₂)",
"5. Prevent in-hospital complications: re-infarction,",
" cardiogenic shock, acute HF",
"6. Anticoagulation: prevent coronary re-thrombosis",
]
long_goals = [
"1. BP target: < 130/80 mmHg",
"2. HR target: 60–70 bpm (beta-blocker therapy)",
"3. LDL target: < 70 mg/dL (high-intensity statin)",
"4. Secondary prevention: dual antiplatelet therapy",
" (DAPT) for minimum 12 months post-ACS",
"5. Prevent major adverse cardiac events (MACE)",
"6. Improve quality of life and functional capacity",
"7. Cardiac rehabilitation & lifestyle modification",
]
add_rect(slide, 0.4, 1.25, 6.1, 5.8, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 0.4, 1.25, 6.1, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 5.9, 0.38, "Short-term Goals (In-Hospital)",
13, bold=True, color=WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.9, 5.2, short_goals, font_size=12.5)
add_rect(slide, 6.8, 1.25, 6.2, 5.8, WHITE, line_rgb=DARK_BLUE, line_width_pt=1.5)
add_rect(slide, 6.8, 1.25, 6.2, 0.42, DARK_BLUE)
add_textbox(slide, 6.9, 1.27, 6.0, 0.38, "Long-term Goals (Outpatient)",
13, bold=True, color=WHITE)
add_bullet_box(slide, 6.95, 1.75, 5.9, 5.2, long_goals, font_size=12.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 10 — MONITORING PARAMETERS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Monitoring Parameters", "Clinical & Laboratory Surveillance")
monitor_sections = [
("Haemodynamic Monitoring",
["• BP: Continuous — target < 130/80 mmHg",
"• HR: Continuous — target 60–70 bpm",
"• SpO₂: Continuous — target ≥ 95%",
"• Respiratory Rate: 4-hourly",
"• Temperature: 6-hourly"]),
("Cardiac Monitoring",
["• Continuous ECG telemetry — detect arrhythmias",
"• 12-lead ECG: Daily & PRN",
"• 2D-Echo: Assess wall motion, EF",
"• Troponin I/T: Serial (0, 6, 12 hrs)",
"• CK-MB: Serial monitoring"]),
("Medication-Specific Monitoring",
["• Heparin: APTT (target 60–80 sec), CBC",
"• Statins (Atorvastatin): LFT, CPK",
"• Beta-blocker (Metoprolol): HR, BP, bronchospasm",
"• Aspirin + Clopidogrel: Signs of GI bleeding",
"• Ivabradine: HR (avoid bradycardia < 60 bpm)"]),
("Laboratory Parameters",
["• CBC: Baseline & daily",
"• RFT (Creatinine, BUN): Baseline & alternate days",
"• Blood glucose (HbA1c if diabetic)",
"• Lipid profile: At discharge / 4–6 weeks",
"• Coagulation profile (PT, INR, APTT)"]),
("Signs of Complications",
["• Watch for: Cardiogenic shock, acute pulmonary",
" oedema, ventricular fibrillation/tachycardia",
"• Re-infarction: Recurrent chest pain, ST elevation",
"• Mechanical complications: New murmur (MR, VSD)",
"• Bleeding: Major / minor — DAPT + Heparin"]),
("Drug Interactions to Monitor",
["• Heparin + Aspirin: Increased bleeding risk",
"• Clopidogrel + PPI (Pantoprazole): Mild interaction",
"• Ivabradine: Avoid with strong CYP3A4 inhibitors",
"• Ranolazine: QT prolongation — monitor ECG",
"• Trimetazidine: Extrapyramidal effects (long-term)"]),
]
mon_pos = [(0.3, 1.25), (4.55, 1.25), (8.8, 1.25),
(0.3, 4.3), (4.55, 4.3), (8.8, 4.3)]
for (stitle, sitems), (sx, sy) in zip(monitor_sections, mon_pos):
sw, sh = 4.0, 2.85
add_rect(slide, sx, sy, sw, sh, WHITE, line_rgb=MED_BLUE, line_width_pt=1.2)
add_rect(slide, sx, sy, sw, 0.38, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.03, sw-0.16, 0.35, stitle,
11, bold=True, color=WHITE)
add_bullet_box(slide, sx+0.12, sy+0.44, sw-0.2, sh-0.5,
sitems, font_size=10)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 11 — POINTS TO PATIENT: DISEASE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — About the Disease", "Patient Education")
add_rect(slide, 0.4, 1.25, 12.6, 5.8, WHITE, line_rgb=MED_BLUE, line_width_pt=1.5)
add_rect(slide, 0.4, 1.25, 12.6, 0.42, DARK_BLUE)
add_textbox(slide, 0.5, 1.27, 12.4, 0.38,
"What is a Heart Attack (Myocardial Infarction)?",
13, bold=True, color=WHITE)
disease_info = [
"WHAT IS IT?",
"• A heart attack occurs when blood supply to a part of the heart muscle is suddenly blocked.",
"• In your case, the blockage is in the LEFT ANTERIOR DESCENDING (LAD) artery and related vessels — these supply the front wall of your heart.",
"• This is called an 'Anterior Wall MI' — the front wall of your heart was affected.",
"",
"WHY DID IT HAPPEN?",
"• Fatty deposits (plaques) built up inside your coronary arteries over time (Atherosclerosis).",
"• One of these plaques ruptured → causing a blood clot → blocking blood flow → heart muscle damage.",
"• You have 'Double Vessel Disease' — two major arteries are affected: LAD + LCx.",
"",
"YOUR PREVIOUS HEART HISTORY:",
"• You had a Mitral Valve Replacement (MVR) in 2009 — your heart has been under stress for many years.",
"• You also have pre-existing Coronary Artery Disease (CAD) — this makes you at higher risk.",
"",
"IS IT SERIOUS?",
"• Yes — a heart attack is a medical emergency but you have been treated in time.",
"• The damage can be limited with medications and, if needed, a procedure to open blocked arteries (angioplasty/stenting).",
]
add_bullet_box(slide, 0.55, 1.75, 12.3, 5.2, disease_info, font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 12 — POINTS TO PATIENT: MEDICATIONS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — About Your Medications", "Medication Counselling")
med_edu = [
("Aspirin (75 mg) + Clopidogrel (75 mg) — 'Blood Thinners'",
["• Prevents blood clots from forming in your heart arteries.",
"• Take BOTH every day as prescribed — DO NOT stop without doctor's advice.",
"• May cause stomach irritation — take after food.",
"• Watch for unusual bleeding: black stools, prolonged cuts, blood in urine — report immediately."]),
("Atorvastatin (40 mg) — 'Cholesterol Medicine'",
["• Lowers 'bad' cholesterol (LDL) and stabilises plaques in arteries.",
"• Take at NIGHT (more effective).",
"• Report muscle pain/weakness or dark-coloured urine to your doctor."]),
("Metoprolol (25 mg) — 'Heart Rate Medicine'",
["• Slows your heart rate and reduces the heart's workload.",
"• Do NOT stop suddenly — gradual tapering required.",
"• May cause dizziness on standing up — rise slowly."]),
("Heparin Injection (In hospital only)",
["• Prevents further clot formation in your coronary arteries.",
"• Given through a vein in the hospital only.",
"• May cause bruising at the injection site — normal."]),
("Ranolazine (500 mg) + Trimetazidine MR (35 mg)",
["• Help reduce chest pain (angina) and protect the heart muscle from ischaemia.",
"• Take regularly as prescribed.",
"• Ranolazine: Avoid grapefruit juice. Trimetazidine: Report tremors or involuntary movements."]),
("Ivabradine (5 mg) + Pantoprazole (40 mg)",
["• Ivabradine: Controls heart rate — do not miss doses; avoid bright light if visual disturbances occur.",
"• Pantoprazole: Protects your stomach from ulcers caused by other heart medicines.",
" Take 30 minutes BEFORE meals."]),
]
positions3 = [(0.3, 1.25), (6.85, 1.25), (0.3, 3.4), (6.85, 3.4), (0.3, 5.55), (6.85, 5.55)]
for (stitle, sitems), (sx, sy) in zip(med_edu, positions3):
sw, sh = 6.3, 1.95
add_rect(slide, sx, sy, sw, sh, WHITE, line_rgb=MED_BLUE, line_width_pt=1.2)
add_rect(slide, sx, sy, sw, 0.36, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.02, sw-0.16, 0.33, stitle,
10.5, bold=True, color=WHITE)
add_bullet_box(slide, sx+0.12, sy+0.42, sw-0.2, sh-0.48,
sitems, font_size=10.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 13 — LIFESTYLE MODIFICATION
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — Lifestyle Modification", "Heart-Healthy Living")
lifestyle = [
("Diet & Nutrition",
["• Low-salt diet: use < 1 tsp/day",
"• Reduce saturated & trans fats",
"• Eat more fruits, vegetables, whole grains",
"• Limit red meat — prefer fish/chicken",
"• Avoid fried and processed foods",
"• Control portion sizes"]),
("Physical Activity",
["• Start with 10–15 min walks after discharge",
"• Gradually increase to 30 min/day, 5 days/week",
"• Avoid heavy lifting for 6 weeks",
"• No strenuous activity until cardiologist clears",
"• Join a cardiac rehabilitation programme"]),
("Smoking & Alcohol",
["• STOP SMOKING COMPLETELY",
" (Smoking doubles the risk of another MI)",
"• Avoid passive smoke exposure",
"• Limit alcohol: max 1 unit/day for men",
"• Preferably abstain from alcohol"]),
("Stress Management",
["• Identify and reduce sources of stress",
"• Practice deep breathing / meditation",
"• Get 7–8 hours of sleep daily",
"• Avoid emotional stress — it triggers angina",
"• Seek counselling if needed"]),
("Weight Management",
["• Achieve/maintain healthy body weight",
"• Target BMI: 18.5–24.9 kg/m²",
"• Waist circumference < 90 cm (men)",
"• Monitor weight daily at home",
"• Gradual weight loss if overweight"]),
("Follow-up & Monitoring",
["• Regular cardiology follow-up: every 3 months",
"• Daily home BP and pulse monitoring",
"• Report any chest pain, breathlessness immediately",
"• Do NOT miss medications — even one dose matters",
"• Carry a medication card at all times",
"• Know emergency symptoms — call 108"]),
]
ls_pos = [(0.3, 1.25), (4.55, 1.25), (8.8, 1.25),
(0.3, 4.3), (4.55, 4.3), (8.8, 4.3)]
for (stitle, sitems), (sx, sy) in zip(lifestyle, ls_pos):
sw, sh = 4.0, 2.85
add_rect(slide, sx, sy, sw, sh, WHITE, line_rgb=MED_BLUE, line_width_pt=1.2)
add_rect(slide, sx, sy, sw, 0.38, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.03, sw-0.16, 0.35, stitle,
11.5, bold=True, color=WHITE)
add_bullet_box(slide, sx+0.12, sy+0.44, sw-0.2, sh-0.5,
sitems, font_size=10.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 14 — SUMMARY
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, DARK_BLUE)
add_rect(slide, 0, 1.8, 13.333, 3.9, MED_BLUE)
add_rect(slide, 0, 7.3, 13.333, 0.2, ACCENT_RED)
add_textbox(slide, 1, 0.3, 11.333, 0.8,
"SOAP Note Summary", 30, bold=True,
color=WHITE, align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 1.05, 11.333, 0.6,
"Anterior Wall STEMI | CAD — Double Vessel Disease | S.M.R., 59M",
16, color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.CENTER)
summary_items = [
("S — Subjective", "Chest pain, radiation to left hand, profuse sweating, palpitations"),
("O — Objective", "CAG: DVDs (LAD+D1+LCx); BP: 100/60 (Day 2); PR: 112 (Day 2); SpO₂: 95%"),
("A — Assessment", "Anterior Wall MI (STEMI); CAD — Double Vessel Disease; s/p MVR 2009"),
("P — Plan", "Medical management: DAPT (Aspirin+Clopidogrel), Heparin, Atorvastatin, Metoprolol, Ivabradine, Ranolazine, Trimetazidine MR, Pantoprazole"),
]
for i, (label, text) in enumerate(summary_items):
cy = 1.95 + i * 0.88
add_rect(slide, 0.5, cy, 2.5, 0.72, DARK_BLUE)
add_textbox(slide, 0.55, cy+0.08, 2.4, 0.58, label, 14, bold=True, color=WHITE)
add_textbox(slide, 3.2, cy+0.08, 9.8, 0.65, text, 12, color=WHITE, wrap=True)
add_textbox(slide, 1, 5.65, 11.333, 0.55,
"Goals: Restore perfusion · Prevent re-infarction · LDL < 70 · BP < 130/80 · DAPT ≥ 12 months",
12, color=RGBColor(0xFF, 0xD7, 0x00), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.2, 11.333, 0.55,
"Patient Education: Disease awareness · Medication adherence · Lifestyle modification · Follow-up compliance",
12, color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.75, 11.333, 0.45,
"Shri Vishnu College of Pharmacy | Department of Pharmacy Practice | 2026",
11, color=MID_GRAY, align=PP_ALIGN.CENTER)
# ─── SAVE ─────────────────────────────────────────────────────────────────────
out_path = "/tmp/workspace/soap-mi-case/SOAP_Anterior_Wall_MI_Case.pptx"
buf = BytesIO()
prs.save(buf)
with open(out_path, "wb") as f:
f.write(buf.getvalue())
print(f"Saved: {out_path}")
Running Command
cd /tmp/workspace/soap-mi-case && python create_pptx.py 2>&1
Running Command
ls -lh /tmp/workspace/soap-mi-case/SOAP_Anterior_Wall_MI_Case.pptx
Your SOAP note presentation is ready! Download it here:
SOAP Anterior Wall MI Case
Presentation · PPTX
Here's a summary of what's in the 14-slide deck:
| Slide | Content |
|---|---|
| 1 | Title Slide — Patient S.M.R., 59M, ICU, Anterior Wall MI |
| 2 | Patient Demographics (Social Hx, Physical Exam, Allergies) |
| 3 | Vital Signs Trend Table (Day 1–3, with abnormal values flagged in red) |
| 4 | S — Subjective (Chief complaints, PMH: MVR 2009, CAD) |
| 5 | O — Objective (CAG: DVDs LAD+D1+LCx, Physical findings) |
| 6 | A — Assessment (Diagnosis: Anterior Wall STEMI, Etiology) |
| 7 | P — Pharmacological (Full 11-drug medication table with indications) |
| 8 | P — Non-Pharmacological (Bed rest, O₂, diet, cardiac rehab, PCI/CABG consideration) |
| 9 | Goals of Therapy (Short-term in-hospital + long-term outpatient targets) |
| 10 | Monitoring Parameters (Haemodynamic, cardiac, drug-specific, labs, complications) |
| 11 | Patient Points — Disease (What is MI, why it happened, seriousness) |
| 12 | Patient Points — Medications (Counselling for each drug class) |
| 13 | Patient Points — Lifestyle (Diet, exercise, smoking, stress, weight, follow-up) |
| 14 | SOAP Summary Slide |
A few notes I flagged while building:
- Day 2 BP 100/60 + PR 112 — hypotension + tachycardia was highlighted as clinically significant
- "DAYTOR" (Daptor) — the drug name was partially illegible; I interpreted it tentatively as Dabigatran/Dapagliflozin — please verify the actual drug name from the original prescription
- Lab data (Troponin, CK-MB, CBC) was not filled in the case form — I noted this and listed expected investigations
Add some related pictures of it
Searching Images
anterior wall myocardial infarction STEMI ECG ST elevation
A 12-lead electrocardiogram (ECG) demonstrating signs of an acute anterior wall myocardial infarction (STEMI). The tracing shows significant ST-segment elevation across the precordial leads, specifically from V2 to V6. The ST elevation is most pronounced in leads V2, V3, and V4, exhibiting a convex upward morphology often referred to as 'tombstoning.' This is accompanied by prominent, peaked T-waves in the same leads. Leads V5 and V6 show a relative decrease in the degree of ST elevation compared to the mid-precordial leads. Reciprocal ST-segment depression is visible in the inferior leads (II, III, and aVF). The rhythm appears to be sinus with baseline artifact present in the limb leads. This diagnostic image illustrates the classic electrical progression of an anterior ST-elevation myocardial infarction, indicating occlusion of the left anterior descending (LAD) coronary artery or its branches, which is a critical finding in cardiovascular emergency medicine.
A 12-lead electrocardiogram (ECG) demonstrating signs consistent with an acute ST-elevation myocardial infarction (STEMI) of the anterior wall. The tracing shows marked ST-segment elevation in the precordial leads, specifically from V1 through V4, as indicated by red arrows. Notable findings include hyperacute T waves in leads V2 and V3, which appear tall, peaked, and symmetrical. Reciprocal ST-segment depression is visible in the inferior leads III and aVF (highlighted with blue circles), a classic finding in anterior wall ischemia. The rhythm appears to be a sinus rhythm with a normal heart rate. Other leads, including I, II, aVR, aVL, V5, and V6, show relatively preserved morphology without significant acute deviations. This visual material is used to teach the recognition of early ischemic changes, including the identification of hyperacute T waves and the diagnostic criteria for anterior STEMI, emphasizing the anatomical correlation with the left anterior descending (LAD) coronary artery distribution.
This is a 12-lead electrocardiogram (ECG) demonstrating an acute ST-segment elevation myocardial infarction (STEMI). The diagnostic hallmark is prominent ST-segment elevation across the precordial leads V1 through V6, with the most significant convex elevation appearing in leads V2, V3, and V4. These findings are highly characteristic of an acute anterior wall infarction, typically involving the left anterior descending (LAD) coronary artery. In the limb leads, mild ST-segment elevation is also visible in leads I, II, III, and aVF, accompanied by positive, upright T waves. Lead aVR shows expected global inversion. The tracing displays a sinus rhythm with regular morphology, but the ST-segment deviations from the isoelectric baseline indicate acute myocardial injury. This visual material is a critical educational tool for teaching the ECG localization of coronary occlusions and the identification of STEMI criteria in an emergency clinical context.
Searching Images
coronary artery anatomy LAD left anterior descending double vessel disease
This diagnostic image is a 2D curved planar reformatted (CPR) view of a coronary computed tomography angiography (CCTA) obtained via multi-detector computed tomography (MDCT). It depicts the Left Anterior Descending (LAD) coronary artery traversing the epicardial surface. The visualization highlights coronary artery disease through the presence of atherosclerotic plaques. A double arrow indicates a proximal segment of the LAD with significant luminal narrowing and high-attenuation, hyperdense material consistent with calcified plaque. Distal to this, a single arrow marks a second area of stenosis characterized by lower-attenuation, soft tissue density consistent with non-calcified (soft) plaque. The contrast-enhanced lumen demonstrates variable caliber, illustrating the morphological differences between calcific and non-calcific vessel wall remodeling. This image serves as an educational example of cardiac imaging for the assessment of ischemic heart disease, plaque composition, and obstructive coronary anatomy.
This diagnostic image is a coronary angiogram captured in an anteroposterior (AP) cranial projection, focusing on the left coronary system. The primary anatomical structure shown is the Left Anterior Descending (LAD) artery, which is explicitly identified with a green arrow and text label. The vessel is opacified with radiopaque contrast media, allowing for the visualization of its lumen and various septal and diagonal branches. Morphologically, the LAD appears to have a smooth course with no evidence of significant atherosclerotic stenosis, obstructive lesions, or filling defects, consistent with normal coronary anatomy. The distal vasculature shows normal tapering. The image serves as an educational example of cardiac catheterization imaging used to evaluate coronary artery disease and vessel patency. The background displays the hazy silhouette of the cardiac apex and diaphragm, typical of standard fluoroscopic imaging during an invasive cardiac procedure.
This diagnostic image is a coronary angiogram of the left coronary artery system, captured in a cranial radiographic projection (RAO -10.50, CRA 32.20). The image demonstrates the anatomy post-percutaneous coronary intervention (PCI). The Left Anterior Descending (LAD) artery is the dominant vessel coursing down the interventricular groove, showing a patent lumen and improved blood flow following angioplasty and stent implantation. A significant diagonal branch is visible bifurcating from the LAD, also showing adequate distal perfusion. The contrast-enhanced vasculature appears as dark radiopaque structures against a lighter fluoroscopic background, outlining the arterial tree's branching morphology. Technical parameters including image size, zoom, and window/contrast levels are displayed in the margins. A synchronized green electrocardiogram (ECG) tracing is superimposed at the bottom, indicating a regular sinus rhythm during the procedure. This image serves as a clinical record of successful revascularization in a patient with coronary artery disease.
Searching Images
atherosclerosis plaque coronary artery pathology
Gross pathology photograph of human coronary arteries showing atherosclerotic plaques with intraplaque hemorrhage in the right coronary artery. The image presents multiple arterial segments with circumferential intimal thickening and lipid-rich atheromatous deposits producing luminal narrowing. In the second and third sections from the left, hemorrhagic material is evident within the plaque core, indicating intraplaque hemorrhage, a key destabilizing event in acute coronary syndromes. The plaques appear fibrofatty with irregular, disrupted fibrous caps, consistent with a high-risk lesion prone to rupture and superimposed thrombosis. The anatomy depicted reflects advanced coronary atherosclerosis in an adult female; such lesions commonly precede unstable angina, acute myocardial infarction, or sudden cardiac death following plaque rupture, erosion, fissuring, or hemorrhage. From a pathological standpoint, these gross findings illustrate the pathophysiology of myocardial ischemia: occlusive thrombosis over a vulnerable plaque leading to cessation of distal blood flow. Clinically, intraplaque hemorrhage accelerates plaque expansion by increasing lipid core size and reducing cap thickness. The image is valuable for education on plaque morphology, identifies mechanisms of ACS, and supports differential considerations including plaque rupture, thrombosis, erosion, and hemorrhagic transformation. Overall, this photograph emphasizes the importance of plaque stability in cardiovascular risk assessment and autopsy analyses. Educational and research contexts.
Gross pathology photograph from an autopsy showing the heart with acute coronary occlusion. Anatomical site: right coronary artery (RCA) with heavy atherosclerotic disease and a mural thrombus occluding the lumen. Plaque morphology is lipid-rich, irregular, and yellow-brown with possible calcification. The overlying thrombus is dark reddish-brown, adherent to the plaque, and partially fills the arterial lumen, producing abrupt cessation of distal flow. Associated myocardial tissue may show early signs of infarction, such as pallor or edema in the distribution supplied by the RCA. Imaging modality and technique: macroscopic gross pathology image, en-face view of the epicardial artery from autopsy; not a radiologic study and not stained. Pathophysiology: sudden plaque rupture with superimposed mural thrombosis causing acute myocardial infarction (AMI) and death within 72 hours. Clinical correlation: this lesion represents a classic mechanism of fatal coronary artery disease, leading to hemodynamic compromise and ventricular dysfunction. Diagnostic significance: demonstrates the chain of events from atherosclerotic plaque disruption to occlusive thrombosis and myocardial necrosis, illustrating the basis for sudden cardiac death in CAD. Differential considerations include plaque rupture with thrombosis, coronary vasospasm, embolic occlusion, and multivessel atherosclerosis. Educational value: aids understanding of MI pathogenesis, coronary thrombosis, and autopsy-based cardiovascular pathology.
Searching Images
heart attack myocardial infarction diagram zones necrosis ischemia
This clinical specimen image displays a series of transverse heart slices used to evaluate myocardial infarction size following ischemia-reperfusion injury. The slices are grouped into an 'Untreated heart' (top row) and a 'BLS WIE Treated heart' (bottom row). The specimens are double-stained using Evans Blue and Triphenyl Tetrazolium Chloride (TTC) to differentiate tissue viability. Three distinct zones are visible: 1) Dark blue areas represent viable, non-ischemic myocardium perfused by Evans Blue; 2) Deep red areas represent the 'Area at Risk' (AAR), which were ischemic but remain viable as indicated by TTC staining; 3) Unstained white or pale areas represent the infarcted tissue (IS) where necrosis has occurred. A visual comparison reveals that the BLS WIE treated hearts possess significantly smaller unstained white areas and a higher proportion of red-stained tissue compared to the untreated group. This illustrates the cardioprotective efficacy of the treatment in limiting infarct expansion and preserving myocardial tissue within the area at risk.
This educational graphic illustrates an experimental model of myocardial infarction (MI) in a porcine subject. Panel A is a clinical photograph of a porcine heart post-left anterior descending (LAD) artery occlusion. It displays three demarcated zones of clinical significance: the Infarct Core Zone (IZ) located at the apex, showing dark discoloration indicative of necrotic tissue; the Border Zone (BZ), a transitional area adjacent to the infarct; and the Remote Zone (RZ), appearing as healthy, pinkish-red myocardium distal to the site of occlusion. Panel B is a structured study design flowchart. It outlines the comparative analysis of differentially expressed genes (DEGs), transcription factors (TF), and functional annotations between samples from healthy control animals (myocardium, liver, spleen) and animals with Acute Myocardial Infarction (AMI). The diagram highlights the methodology used to investigate the systemic host response and genomic alterations across the IZ, BZ, and RZ, facilitating the study of infarct healing and inter-organ communication during cardiac ischemia.
Running Command
cd /tmp/workspace/soap-mi-case && python /tmp/skills/shared/scripts/fetch_images.py \ "https://cdn.orris.care/cdss_images/pmc_clinical_VQA_2d32e7c084bc9fe3a0faabd9a092d5efda00f6d146eb656d30d77b0dffb6383c.jpg" \ "https://cdn.orris.care/cdss_images/pmc_clinical_VQA_a126c6dd10a8a673434f05bc0ff87462e5d3d618b309485a6248d4404ba99ce0.jpg" \ "https://cdn.orris.care/cdss_images/pmc_clinical_VQA_18bbaf2e44546d1f433903eb036d7a23e6611c2170cb982dbe5b77fcb385f50d.jpg" \ "https://cdn.orris.care/cdss_images/Pathology_1760051681141_931e45fe-0542-4da5-b8c4-ff161e52b246.jpg" \ "https://cdn.orris.care/cdss_images/pmc_clinical_VQA_27009136f97045757d0a4f2a14798ae92d980f4a7ba37877618134e80f90f890.jpg" \ "https://cdn.orris.care/cdss_images/pmc_clinical_VQA_f17ef7b2f4b32e027788fd8e7cddd4f7844f6c954465fed00831fa0f2305c041.jpg" \ > /tmp/workspace/soap-mi-case/images.json 2>&1 echo "Exit: $?" python -c "import json; d=json.load(open('/tmp/workspace/soap-mi-case/images.json')); print([(x['url'][-40:], bool(x['base64']), x['error']) for x in d])"
Writing File
~/soap-mi-case/create_pptx_v2.py
import json, base64
from io import BytesIO
from pptx import Presentation
from pptx.util import Inches, Pt, Emu
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN, MSO_ANCHOR
# ─── Load images ──────────────────────────────────────────────────────────────
with open("/tmp/workspace/soap-mi-case/images.json") as f:
img_data = json.load(f)
# Map by index
# 0 = ECG STEMI anterior (annotated arrows)
# 1 = LAD CCTA plaque / stenosis
# 2 = Coronary angiogram LAD post-PCI
# 3 = Atherosclerosis gross pathology (coronary plaque)
# 4 = ECG STEMI tombstoning V2-V6
# 5 = MI zones (porcine heart IZ/BZ/RZ)
def img_bytes(idx):
raw = img_data[idx]["base64"]
# strip mime prefix if present
if "," in raw:
raw = raw.split(",", 1)[1]
return BytesIO(base64.b64decode(raw))
prs = Presentation()
prs.slide_width = Inches(13.333)
prs.slide_height = Inches(7.5)
# ─── COLOUR PALETTE ───────────────────────────────────────────────────────────
DARK_BLUE = RGBColor(0x1A, 0x3A, 0x5C)
MED_BLUE = RGBColor(0x21, 0x5F, 0x9E)
LIGHT_BLUE = RGBColor(0xD6, 0xE8, 0xF7)
ACCENT_RED = RGBColor(0xC0, 0x39, 0x2B)
WHITE = RGBColor(0xFF, 0xFF, 0xFF)
DARK_GRAY = RGBColor(0x2C, 0x2C, 0x2C)
LIGHT_GRAY = RGBColor(0xF4, 0xF7, 0xFB)
MID_GRAY = RGBColor(0x7F, 0x8C, 0x9B)
blank_layout = prs.slide_layouts[6]
# ─── HELPERS ──────────────────────────────────────────────────────────────────
def add_rect(slide, x, y, w, h, fill_rgb, line_rgb=None, line_width_pt=0):
shape = slide.shapes.add_shape(1, Inches(x), Inches(y), Inches(w), Inches(h))
shape.fill.solid()
shape.fill.fore_color.rgb = fill_rgb
if line_rgb:
shape.line.color.rgb = line_rgb
shape.line.width = Pt(line_width_pt)
else:
shape.line.fill.background()
return shape
def add_textbox(slide, x, y, w, h, text, font_size, bold=False, color=DARK_GRAY,
align=PP_ALIGN.LEFT, italic=False, wrap=True):
tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
tf = tb.text_frame
tf.word_wrap = wrap
tf.margin_left = Inches(0.05)
tf.margin_right = Inches(0.05)
tf.margin_top = Inches(0.03)
tf.margin_bottom = Inches(0.03)
p = tf.paragraphs[0]
p.alignment = align
run = p.add_run()
run.text = text
run.font.size = Pt(font_size)
run.font.bold = bold
run.font.italic = italic
run.font.color.rgb = color
run.font.name = "Calibri"
return tb
def add_bullet_box(slide, x, y, w, h, items, font_size=11, color=DARK_GRAY,
heading=None, heading_color=MED_BLUE):
tb = slide.shapes.add_textbox(Inches(x), Inches(y), Inches(w), Inches(h))
tf = tb.text_frame
tf.word_wrap = True
tf.margin_left = Inches(0.1)
tf.margin_right = Inches(0.05)
tf.margin_top = Inches(0.05)
tf.margin_bottom = Inches(0.03)
first = True
if heading:
p = tf.paragraphs[0]
p.alignment = PP_ALIGN.LEFT
r = p.add_run()
r.text = heading
r.font.size = Pt(font_size + 1)
r.font.bold = True
r.font.color.rgb = heading_color
r.font.name = "Calibri"
first = False
for i, item in enumerate(items):
if first and i == 0:
p = tf.paragraphs[0]
else:
p = tf.add_paragraph()
p.alignment = PP_ALIGN.LEFT
p.space_before = Pt(2)
r = p.add_run()
r.text = item
r.font.size = Pt(font_size)
r.font.color.rgb = color
r.font.name = "Calibri"
return tb
def add_img(slide, img_idx, x, y, w, h=None):
bio = img_bytes(img_idx)
if h:
slide.shapes.add_picture(bio, Inches(x), Inches(y), Inches(w), Inches(h))
else:
slide.shapes.add_picture(bio, Inches(x), Inches(y), Inches(w))
def add_img_caption(slide, x, y, w, caption, font_size=9):
add_textbox(slide, x, y, w, 0.25, caption, font_size,
color=MID_GRAY, align=PP_ALIGN.CENTER, italic=True)
def slide_header(slide, title, subtitle=None):
add_rect(slide, 0, 0, 13.333, 1.1, DARK_BLUE)
add_textbox(slide, 0.3, 0.05, 12, 0.45,
"Shri Vishnu College of Pharmacy — Department of Pharmacy Practice",
10, color=WHITE)
add_textbox(slide, 0.3, 0.45, 11, 0.6, title, 26, bold=True, color=WHITE)
if subtitle:
add_textbox(slide, 0.3, 0.48, 11, 0.55, subtitle, 13,
color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.RIGHT)
add_rect(slide, 0, 7.3, 13.333, 0.2, MED_BLUE)
add_textbox(slide, 0.2, 7.3, 12.9, 0.2,
"Case Presentation | Anterior Wall MI | SVCP 2026",
8, color=WHITE, align=PP_ALIGN.CENTER)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 1 — TITLE SLIDE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, DARK_BLUE)
add_rect(slide, 0, 2.8, 13.333, 2.3, MED_BLUE)
add_textbox(slide, 1, 0.4, 11.333, 0.9,
"Shri Vishnu College of Pharmacy", 18, False,
RGBColor(0xB8, 0xD8, 0xF5), PP_ALIGN.CENTER)
add_textbox(slide, 1, 0.9, 11.333, 0.6,
"Department of Pharmacy Practice", 14, False,
RGBColor(0xB8, 0xD8, 0xF5), PP_ALIGN.CENTER)
add_textbox(slide, 0.5, 2.85, 12.333, 1.0,
"CASE PRESENTATION", 38, True, WHITE, PP_ALIGN.CENTER)
add_textbox(slide, 0.5, 3.8, 12.333, 0.65,
"Anterior Wall Myocardial Infarction (STEMI)", 22, True,
RGBColor(0xFF, 0xD7, 0x00), PP_ALIGN.CENTER)
add_textbox(slide, 1, 5.1, 11.333, 0.5,
"Patient: S.M.R. | Age: 59 yrs | Gender: Male | Ward: ICU", 14,
color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 5.7, 11.333, 0.45,
"Admission: 26/07/2026 | Discharge: 29/07/2026", 13,
color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.35, 11.333, 0.45,
"IP No: 102992 | SOAP Note Format", 12, color=MID_GRAY, align=PP_ALIGN.CENTER)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 2 — PATIENT DEMOGRAPHICS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Patient Demographics", "Case Overview")
cols = [
("Patient Information",
["Name: S.M.R.", "Age: 59 years", "Gender: Male",
"Ward/Dept: ICU", "IP No: 102992"]),
("Admission Details",
["Date of Admission: 26/07/2026", "Date of Discharge: 29/07/2026",
"Duration of Stay: 3 days", "Occupation: ONGC Employee",
"Locality: Narasapur"]),
("Social History",
["Diet: Mixed", "Marital Status: Married",
"Smoking: Not recorded", "Alcohol: Not recorded"]),
("Allergic History",
["No known drug/food/environmental allergies recorded"]),
]
positions = [(0.3, 1.25), (4.7, 1.25), (0.3, 4.0), (4.7, 4.0)]
dims = [(4.2, 2.5), (4.2, 2.5), (4.2, 2.5), (4.2, 1.6)]
for (title, items), (cx, cy), (cw, ch) in zip(cols, positions, dims):
add_rect(slide, cx, cy, cw, ch, WHITE, MED_BLUE, 1.5)
add_rect(slide, cx, cy, cw, 0.38, MED_BLUE)
add_textbox(slide, cx+0.1, cy+0.02, cw-0.2, 0.35, title, 12, True, WHITE)
add_bullet_box(slide, cx+0.15, cy+0.45, cw-0.25, ch-0.5,
["• " + i for i in items], font_size=11)
add_rect(slide, 9.2, 1.25, 3.9, 5.9, WHITE, ACCENT_RED, 2)
add_rect(slide, 9.2, 1.25, 3.9, 0.38, ACCENT_RED)
add_textbox(slide, 9.3, 1.27, 3.7, 0.35, "Physical Examination", 12, True, WHITE)
add_bullet_box(slide, 9.3, 1.7, 3.7, 4.0,
["CVS: S1, S2 heard (+)",
"No murmurs documented",
"RS: Not documented",
"CNS: Not documented"], font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 3 — VITALS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Vital Signs Trend", "Objective Evidence")
hx, hy = 0.4, 1.3
row_h = 0.55
headers = ["Parameter", "Day 1 (26/7)", "Day 2 (27/7)", "Day 3 (28/7)", "Normal Range"]
col_widths = [2.8, 2.2, 2.2, 2.2, 3.1]
cx = hx
for h, cw in zip(headers, col_widths):
add_rect(slide, cx, hy, cw, row_h, DARK_BLUE)
add_textbox(slide, cx+0.05, hy+0.07, cw-0.1, row_h-0.1,
h, 12, True, WHITE, PP_ALIGN.CENTER)
cx += cw
rows = [
("Blood Pressure (mmHg)", "130/90", "100/60", "110/70", "< 120/80"),
("Respiratory Rate (cpm)", "20", "25", "–", "12–20"),
("Pulse Rate (bpm)", "87", "112", "98", "60–100"),
("Temperature (°F)", "98", "98", "Normal", "97–99"),
("SpO₂ (%)", "95", "96", "98", "≥ 95"),
]
for r_i, row in enumerate(rows):
bg = WHITE if r_i % 2 == 0 else LIGHT_BLUE
cy = hy + row_h * (r_i + 1)
cx = hx
for val, cw in zip(row, col_widths):
add_rect(slide, cx, cy, cw, row_h, bg, MED_BLUE, 0.5)
col = MED_BLUE if cx == hx else DARK_GRAY
if val in ("100/60", "112", "25", "95"):
col = ACCENT_RED
add_textbox(slide, cx+0.05, cy+0.08, cw-0.1, row_h-0.1,
val, 12, cx == hx, col, PP_ALIGN.CENTER)
cx += cw
add_textbox(slide, 0.4, 6.55, 12.5, 0.45,
"⚠ Highlighted values = clinically significant — hypotension (Day 2: 100/60), "
"tachycardia (Day 2: PR 112), low SpO₂ (Day 1: 95%)",
11, italic=True, color=ACCENT_RED)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 4 — SUBJECTIVE EVIDENCE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "S — Subjective Evidence", "Patient-Reported Symptoms")
add_rect(slide, 0.4, 1.25, 6.1, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.4, 1.25, 6.1, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 5.9, 0.38, "Chief Complaints (C/O)", 13, True, WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.8, 5.0,
["• Chest pain",
"• Radiating to left hand",
"• Profuse sweating",
"• History of palpitations",
"",
"Onset: Acute",
"Duration: At admission (26/07/2026)"], font_size=13)
add_rect(slide, 6.8, 1.25, 6.2, 2.7, WHITE, MED_BLUE, 1.5)
add_rect(slide, 6.8, 1.25, 6.2, 0.42, MED_BLUE)
add_textbox(slide, 6.9, 1.27, 6.0, 0.38, "Past Medical History (PMH)", 13, True, WHITE)
add_bullet_box(slide, 6.95, 1.75, 5.9, 2.1,
["• s/p Mitral Valve Replacement (MVR) — 2009",
"• Coronary Artery Disease (CAD) — known"], font_size=13)
add_rect(slide, 6.8, 4.25, 6.2, 2.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 6.8, 4.25, 6.2, 0.42, MED_BLUE)
add_textbox(slide, 6.9, 4.27, 6.0, 0.38, "Past Medication History", 13, True, WHITE)
add_bullet_box(slide, 6.95, 4.75, 5.9, 2.1,
["• Not documented on admission",
"• Known CAD — likely on antiplatelet/statin"], font_size=12)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 5 — OBJECTIVE EVIDENCE (with CAG angiogram image)
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "O — Objective Evidence", "Investigations & Findings")
# Left text area
add_rect(slide, 0.4, 1.25, 7.2, 3.2, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.4, 1.25, 7.2, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 7.0, 0.38, "Radiological Investigations", 13, True, WHITE)
add_bullet_box(slide, 0.55, 1.75, 7.0, 2.5,
["Coronary Angiography (CAG):",
"• CAD — Double Vessel Disease",
"• Vessels: LAD + D1 (diagonal) + LCx",
"• Findings: Anterior Wall STEMI",
"• Plan: Medical management / PCI"], font_size=12.5)
add_rect(slide, 0.4, 4.65, 7.2, 2.4, WHITE, MID_GRAY, 1)
add_rect(slide, 0.4, 4.65, 7.2, 0.38, MID_GRAY)
add_textbox(slide, 0.5, 4.67, 7.0, 0.35, "Pathology / Microbiology Labs", 12, True, WHITE)
add_bullet_box(slide, 0.55, 5.1, 7.0, 1.8,
["• Lab data not documented in the case profile",
"• Expected: Troponin, CK-MB, CBC, RFT, LFT, Lipids, Coagulation"],
font_size=11.5, color=MID_GRAY)
# Right — angiogram image (img 2: LAD angiogram post-PCI)
add_rect(slide, 7.85, 1.25, 5.1, 4.3, WHITE, ACCENT_RED, 2)
add_rect(slide, 7.85, 1.25, 5.1, 0.38, ACCENT_RED)
add_textbox(slide, 7.95, 1.27, 4.9, 0.35, "Coronary Angiogram (LAD)", 12, True, WHITE)
add_img(slide, 2, 7.95, 1.7, 4.85, 3.65)
add_img_caption(slide, 7.9, 5.42, 5.0,
"Coronary angiogram showing LAD artery with contrast opacification")
add_rect(slide, 7.85, 5.7, 5.1, 1.35, WHITE, MED_BLUE, 1.2)
add_rect(slide, 7.85, 5.7, 5.1, 0.35, MED_BLUE)
add_textbox(slide, 7.95, 5.72, 4.9, 0.32, "Physical Findings", 11, True, WHITE)
add_bullet_box(slide, 7.95, 6.1, 4.9, 0.85,
["CVS: S1, S2 (+) | BP: Hypotension Day 2 | SpO₂: 95%"], font_size=11)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 6 — ASSESSMENT (with atherosclerosis pathology image)
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "A — Assessment", "Diagnosis & Etiology")
add_rect(slide, 0.4, 1.25, 5.6, 2.4, WHITE, ACCENT_RED, 2)
add_rect(slide, 0.4, 1.25, 5.6, 0.42, ACCENT_RED)
add_textbox(slide, 0.5, 1.27, 5.4, 0.38, "Provisional Diagnosis", 13, True, WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.4, 1.8,
["Anterior Wall Myocardial Infarction (STEMI)",
"— Based on symptoms, ECG & CAG"], font_size=13)
add_rect(slide, 6.25, 1.25, 6.7, 2.4, WHITE, MED_BLUE, 2)
add_rect(slide, 6.25, 1.25, 6.7, 0.42, MED_BLUE)
add_textbox(slide, 6.35, 1.27, 6.5, 0.38, "Final Diagnosis", 13, True, WHITE)
add_bullet_box(slide, 6.4, 1.75, 6.4, 1.8,
["CAD — Double Vessel Disease (LAD + D1 + LCx)",
"Anterior Wall STEMI"], font_size=13)
# Etiology (left text) + atherosclerosis image (right)
add_rect(slide, 0.4, 3.9, 7.5, 3.3, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.4, 3.9, 7.5, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 3.92, 7.3, 0.38, "Etiology / Pathophysiology", 13, True, WHITE)
add_bullet_box(slide, 0.55, 4.4, 7.3, 2.6,
["• Atherosclerotic plaque rupture → coronary thrombosis → ischaemia",
"• Double vessel disease: LAD + D1 + LCx — anterior wall territory",
"• Risk: Male, 59 yrs, known CAD, s/p MVR 2009",
"• Haemodynamic impact: Hypotension + tachycardia (Day 2)"], font_size=12)
# Atherosclerosis pathology image
add_rect(slide, 8.1, 3.9, 5.0, 3.3, WHITE, ACCENT_RED, 1.5)
add_rect(slide, 8.1, 3.9, 5.0, 0.38, ACCENT_RED)
add_textbox(slide, 8.2, 3.92, 4.8, 0.35,
"Coronary Atherosclerotic Plaque (Gross Pathology)", 10, True, WHITE)
add_img(slide, 3, 8.2, 4.35, 4.75, 2.55)
add_img_caption(slide, 8.1, 6.92, 5.0,
"Intraplaque haemorrhage — vulnerable plaque → ACS mechanism")
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 7 — PLAN: PHARMACOLOGICAL
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "P — Plan: Pharmacological Therapy", "Current Medication Chart")
hx, hy = 0.3, 1.3
col_widths2 = [3.2, 1.5, 0.9, 1.0, 5.5]
headers2 = ["Drug (Generic Name)", "Dose", "Route", "Freq.", "Indication / Rationale"]
row_h2 = 0.48
cx = hx
add_rect(slide, hx, hy, sum(col_widths2), row_h2, DARK_BLUE)
for h, cw in zip(headers2, col_widths2):
add_textbox(slide, cx+0.04, hy+0.05, cw-0.08, row_h2-0.08,
h, 11, True, WHITE, PP_ALIGN.CENTER)
cx += cw
meds = [
("Tab. Ivabradine (IVABRAD)", "5 mg", "P/O", "BD", "Heart rate reduction in CAD/HF"),
("Syp. Gelucil MPS", "10 mL", "P/O", "BD", "Antacid / GI protection"),
("Inj. Heparin", "5000 U", "IV", "Q12H", "Anticoagulation — prevent re-thrombosis"),
("Tab. Pantoprazole (PANTOP)", "40 mg", "P/O", "OD", "PPI — GI ulcer prophylaxis"),
("Tab. Aspirin (SORPIN)", "75 mg", "P/O", "OD", "Antiplatelet — ACS prevention (DAPT)"),
("Tab. Clopidogrel (CLOPITAN)", "75 mg", "P/O", "OD", "Antiplatelet — dual antiplatelet therapy"),
("Tab. Atorvastatin (ATOCAR)", "40 mg", "P/O", "HS", "Statin — LDL reduction, plaque stabilisation"),
("Tab. Metoprolol (PLANAR)", "25 mg", "P/O", "OD", "Beta-blocker — HR control, cardioprotection"),
("Tab. Daptor (DAYTOR)", "20 mg", "P/O", "BD½", "Antithrombotic adjunct (verify drug name)"),
("Tab. Ranolazine (RANOTEX)", "500 mg", "P/O", "BD", "Anti-anginal — reduces cardiac ischaemia"),
("Tab. Trimetazidine MR (TIMZID-MR)", "35 mg", "P/O", "BD", "Metabolic cardioprotection — anti-ischaemic"),
]
for r_i, row in enumerate(meds):
bg = WHITE if r_i % 2 == 0 else LIGHT_BLUE
cy = hy + row_h2 * (r_i + 1)
cx = hx
for val, cw in zip(row, col_widths2):
add_rect(slide, cx, cy, cw, row_h2, bg, MED_BLUE, 0.3)
add_textbox(slide, cx+0.04, cy+0.05, cw-0.08, row_h2-0.08,
val, 10, color=DARK_GRAY)
cx += cw
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 8 — NON-PHARMACOLOGICAL
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "P — Plan: Non-Pharmacological Therapy", "Supportive Management")
sections_np = [
("Immediate In-Hospital Measures",
["• Complete bed rest in ICU",
"• Continuous cardiac monitoring (ECG telemetry)",
"• Supplemental O₂ (maintain SpO₂ ≥ 95%)",
"• Vital signs monitoring — continuous",
"• Haemodynamic support if required"]),
("Dietary Recommendations",
["• Low-sodium diet (< 2 g/day)",
"• Low-fat, low-cholesterol diet",
"• Small, frequent meals",
"• Avoid caffeine and stimulants"]),
("Cardiac Rehabilitation",
["• Supervised cardiac rehab programme",
"• Graded physical activity post-discharge",
"• Avoid strenuous activity 4–6 weeks",
"• Stress reduction: yoga, meditation"]),
("Medical Plan (Plan of Care)",
["• Medical management — as documented",
"• CAG performed: DVD (LAD+D1+LCx)",
"• PCI planned if anatomically suitable",
"• CABG considered if refractory DVD"]),
]
p_pos = [(0.3, 1.25), (6.9, 1.25), (0.3, 4.35), (6.9, 4.35)]
p_dim = [(6.3, 2.85), (6.1, 2.85), (6.3, 2.85), (6.1, 2.85)]
for (stitle, sitems), (sx, sy), (sw, sh) in zip(sections_np, p_pos, p_dim):
add_rect(slide, sx, sy, sw, sh, WHITE, MED_BLUE, 1.5)
add_rect(slide, sx, sy, sw, 0.4, MED_BLUE)
add_textbox(slide, sx+0.1, sy+0.03, sw-0.2, 0.35, stitle, 12, True, WHITE)
add_bullet_box(slide, sx+0.15, sy+0.47, sw-0.25, sh-0.55, sitems, font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 9 — ECG SLIDE (image-focused)
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "ECG Findings — Anterior Wall STEMI", "Objective Evidence: Electrocardiography")
# ECG image 0 (annotated with arrows)
add_rect(slide, 0.3, 1.25, 7.4, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.3, 1.25, 7.4, 0.38, MED_BLUE)
add_textbox(slide, 0.4, 1.27, 7.2, 0.35, "12-Lead ECG: Anterior STEMI", 12, True, WHITE)
add_img(slide, 0, 0.4, 1.7, 7.1, 5.0)
add_img_caption(slide, 0.3, 6.72, 7.4,
"ST elevation V1–V4, reciprocal depression in II/III/aVF — LAD occlusion")
# ECG interpretation box (right)
add_rect(slide, 7.95, 1.25, 5.1, 5.8, WHITE, DARK_BLUE, 1.5)
add_rect(slide, 7.95, 1.25, 5.1, 0.38, DARK_BLUE)
add_textbox(slide, 8.05, 1.27, 4.9, 0.35, "ECG Interpretation", 12, True, WHITE)
add_bullet_box(slide, 8.1, 1.75, 4.85, 5.15,
["Key Findings in Anterior STEMI:",
"",
"• ST elevation: V1–V6 (most in V2–V4)",
"• Hyperacute T-waves: V2, V3",
"• Reciprocal ST depression:",
" leads II, III, aVF",
"• Tombstone morphology (convex upward)",
"",
"Anatomical Correlation:",
"• Occlusion of LAD or proximal branches",
"• Diagonal (D1) + LCx involvement",
" → Double Vessel Disease",
"",
"Clinical Significance:",
"• STEMI criteria met",
"• Immediate reperfusion required",
"• CAG confirmed: DVDs (LAD+D1+LCx)"],
font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 10 — LAD / CORONARY ANATOMY IMAGE SLIDE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Coronary Artery Disease — Double Vessel Disease", "Angiographic & CT Findings")
# Left — CCTA LAD plaque image
add_rect(slide, 0.3, 1.25, 6.1, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.3, 1.25, 6.1, 0.38, MED_BLUE)
add_textbox(slide, 0.4, 1.27, 5.9, 0.35, "CCTA: LAD Atherosclerotic Plaques", 12, True, WHITE)
add_img(slide, 1, 0.4, 1.7, 5.85, 4.85)
add_img_caption(slide, 0.3, 6.62, 6.1,
"CPR view: proximal LAD calcified plaque (↑↑) + distal soft plaque (↑)")
# Right — text explanation
add_rect(slide, 6.65, 1.25, 6.35, 5.8, WHITE, DARK_BLUE, 1.5)
add_rect(slide, 6.65, 1.25, 6.35, 0.38, DARK_BLUE)
add_textbox(slide, 6.75, 1.27, 6.15, 0.35, "Vessel Involvement in This Patient", 12, True, WHITE)
add_bullet_box(slide, 6.8, 1.75, 6.1, 5.15,
["Coronary Angiography Findings:",
"",
"LAD (Left Anterior Descending):",
"• Supplies anterior wall + interventricular septum",
"• Occlusion → Anterior MI",
"• Most common vessel in STEMI",
"",
"D1 (First Diagonal Branch of LAD):",
"• Supplies anterolateral wall",
"• Involvement = Extended territory at risk",
"",
"LCx (Left Circumflex Artery):",
"• Supplies lateral + posterior LV wall",
"• Involvement = Double Vessel Disease",
"",
"Result: Large territory ischaemia",
"→ Anterior wall STEMI with lateral extension",
"→ Haemodynamic compromise (hypotension)"],
font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 11 — MI ZONES IMAGE SLIDE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Myocardial Infarction — Zones of Injury", "Pathophysiology of MI")
# MI zones image
add_rect(slide, 0.3, 1.25, 6.5, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.3, 1.25, 6.5, 0.38, MED_BLUE)
add_textbox(slide, 0.4, 1.27, 6.3, 0.35, "Zones of Myocardial Infarction", 12, True, WHITE)
add_img(slide, 5, 0.4, 1.7, 6.25, 4.9)
add_img_caption(slide, 0.3, 6.67, 6.5,
"IZ = Infarct Zone (necrosis) | BZ = Border Zone | RZ = Remote Zone")
# Text explanations
add_rect(slide, 7.05, 1.25, 6.0, 5.8, WHITE, DARK_BLUE, 1.5)
add_rect(slide, 7.05, 1.25, 6.0, 0.38, DARK_BLUE)
add_textbox(slide, 7.15, 1.27, 5.8, 0.35, "Pathophysiology of Anterior MI", 12, True, WHITE)
add_bullet_box(slide, 7.2, 1.75, 5.75, 5.15,
["Zones of Injury (Concentric):",
"",
"Zone of Necrosis (Infarct Core):",
"• Irreversible cell death",
"• Occurs in 20–40 min of total ischaemia",
"• Involves anterior wall (LAD territory)",
"",
"Zone of Injury (Border Zone):",
"• Severely ischaemic but potentially viable",
"• Target of reperfusion therapy (PCI/thrombolysis)",
"• ST elevation on ECG",
"",
"Zone of Ischaemia (Remote Zone):",
"• Mildly ischaemic — reversible",
"• T-wave changes on ECG",
"",
"Goal of Treatment:",
"• Limit infarct size by restoring flow ASAP",
"• Medications: Heparin, DAPT, Statin"],
font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 12 — GOALS OF THERAPY
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Goals of Therapy", "Short-term & Long-term Targets")
add_rect(slide, 0.4, 1.25, 6.1, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.4, 1.25, 6.1, 0.42, MED_BLUE)
add_textbox(slide, 0.5, 1.27, 5.9, 0.38, "Short-term Goals (In-Hospital)", 13, True, WHITE)
add_bullet_box(slide, 0.55, 1.75, 5.9, 5.2,
["1. Restore coronary blood flow, limit infarct size",
"2. Relieve chest pain and ischaemic symptoms",
"3. Prevent life-threatening arrhythmias",
"4. Maintain haemodynamic stability",
"5. Prevent: re-infarction, cardiogenic shock, HF",
"6. Anticoagulation: prevent re-thrombosis"], font_size=12.5)
add_rect(slide, 6.8, 1.25, 6.2, 5.8, WHITE, DARK_BLUE, 1.5)
add_rect(slide, 6.8, 1.25, 6.2, 0.42, DARK_BLUE)
add_textbox(slide, 6.9, 1.27, 6.0, 0.38, "Long-term Goals (Outpatient)", 13, True, WHITE)
add_bullet_box(slide, 6.95, 1.75, 5.9, 5.2,
["1. BP target: < 130/80 mmHg",
"2. HR target: 60–70 bpm (beta-blocker)",
"3. LDL target: < 70 mg/dL (high-intensity statin)",
"4. DAPT for minimum 12 months post-ACS",
"5. Prevent MACE (major adverse cardiac events)",
"6. Improve quality of life & functional capacity",
"7. Cardiac rehabilitation & lifestyle modification"], font_size=12.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 13 — MONITORING PARAMETERS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Monitoring Parameters", "Clinical & Laboratory Surveillance")
monitor_sections = [
("Haemodynamic Monitoring",
["• BP: Continuous — target < 130/80",
"• HR: Continuous — target 60–70 bpm",
"• SpO₂: Continuous — target ≥ 95%",
"• RR: 4-hourly | Temp: 6-hourly"]),
("Cardiac Monitoring",
["• Continuous ECG telemetry",
"• 12-lead ECG: Daily & PRN",
"• 2D-Echo: Wall motion & EF",
"• Troponin I/T serial (0, 6, 12 hrs)"]),
("Drug-Specific Monitoring",
["• Heparin: APTT (target 60–80 sec)",
"• Statins: LFT, CPK",
"• Metoprolol: HR, BP, bronchospasm",
"• Aspirin+Clopidogrel: GI bleed signs"]),
("Laboratory Parameters",
["• CBC: Baseline & daily",
"• RFT (Creatinine, BUN): Alternate days",
"• Blood glucose / HbA1c",
"• Lipid profile at discharge"]),
("Complication Watch",
["• Cardiogenic shock, acute pulmonary oedema",
"• VF/VT: on telemetry",
"• Mechanical: new murmur (MR, VSD)",
"• Bleeding: DAPT + Heparin combination"]),
("Drug Interactions",
["• Heparin + Aspirin: ↑ bleeding risk",
"• Ivabradine: avoid CYP3A4 inhibitors",
"• Ranolazine: QT prolongation — ECG",
"• Trimetazidine: extrapyramidal (long-term)"]),
]
mon_pos = [(0.3, 1.25), (4.55, 1.25), (8.8, 1.25),
(0.3, 4.3), (4.55, 4.3), (8.8, 4.3)]
for (stitle, sitems), (sx, sy) in zip(monitor_sections, mon_pos):
sw, sh = 4.0, 2.85
add_rect(slide, sx, sy, sw, sh, WHITE, MED_BLUE, 1.2)
add_rect(slide, sx, sy, sw, 0.38, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.03, sw-0.16, 0.35, stitle, 11, True, WHITE)
add_bullet_box(slide, sx+0.12, sy+0.44, sw-0.2, sh-0.5, sitems, font_size=10.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 14 — POINTS TO PATIENT: DISEASE
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — About the Disease", "Patient Education")
add_rect(slide, 0.4, 1.25, 12.6, 5.8, WHITE, MED_BLUE, 1.5)
add_rect(slide, 0.4, 1.25, 12.6, 0.42, DARK_BLUE)
add_textbox(slide, 0.5, 1.27, 12.4, 0.38,
"What is a Heart Attack (Myocardial Infarction)?", 13, True, WHITE)
add_bullet_box(slide, 0.55, 1.75, 12.3, 5.2,
["WHAT IS IT?",
"• A heart attack occurs when blood supply to a part of the heart muscle is suddenly blocked.",
"• In your case: LEFT ANTERIOR DESCENDING (LAD) artery + LCx were blocked.",
"• This is called an 'Anterior Wall MI' — the front wall of your heart was affected.",
"",
"WHY DID IT HAPPEN?",
"• Fatty deposits (plaques) built up in your coronary arteries (Atherosclerosis).",
"• A plaque ruptured → blood clot formed → blocked blood flow → heart muscle damaged.",
"• You have 'Double Vessel Disease' — two major arteries affected: LAD + LCx.",
"",
"YOUR PREVIOUS HEART HISTORY:",
"• Mitral Valve Replacement (MVR) in 2009 — your heart has been under increased stress.",
"• Pre-existing Coronary Artery Disease (CAD) — higher risk for future events.",
"",
"IS IT SERIOUS?",
"• Yes — but you have been treated in time. Damage can be limited with medications",
" and/or a procedure (angioplasty/stenting) to open blocked arteries."],
font_size=11.5)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 15 — POINTS TO PATIENT: MEDICATIONS
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — About Your Medications", "Medication Counselling")
med_edu = [
("Aspirin (75 mg) + Clopidogrel (75 mg)",
["• Blood thinners — prevent clots in arteries.",
"• Take BOTH daily — DO NOT stop without doctor.",
"• Take after food. Report black stools / unusual bleeding."]),
("Atorvastatin (40 mg)",
["• Lowers bad cholesterol (LDL) & stabilises plaques.",
"• Take at NIGHT (more effective).",
"• Report muscle pain or dark-coloured urine."]),
("Metoprolol (25 mg)",
["• Slows heart rate, reduces heart workload.",
"• DO NOT stop suddenly — taper gradually.",
"• May cause dizziness — rise slowly."]),
("Heparin Injection (hospital only)",
["• Prevents further coronary clot formation.",
"• Given via IV in hospital only.",
"• Bruising at injection site is normal."]),
("Ranolazine (500 mg) + Trimetazidine MR (35 mg)",
["• Reduce chest pain and protect heart from ischaemia.",
"• Ranolazine: Avoid grapefruit juice.",
"• Trimetazidine: Report tremors or involuntary movements."]),
("Ivabradine (5 mg) + Pantoprazole (40 mg)",
["• Ivabradine: Controls heart rate — do not miss doses.",
"• Pantoprazole: Protects stomach from ulcers.",
" Take 30 minutes BEFORE meals."]),
]
pos_m = [(0.3, 1.25), (6.85, 1.25), (0.3, 3.45), (6.85, 3.45), (0.3, 5.65), (6.85, 5.65)]
for (stitle, sitems), (sx, sy) in zip(med_edu, pos_m):
sw, sh = 6.3, 2.0
add_rect(slide, sx, sy, sw, sh, WHITE, MED_BLUE, 1.2)
add_rect(slide, sx, sy, sw, 0.36, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.02, sw-0.16, 0.33, stitle, 10.5, True, WHITE)
add_bullet_box(slide, sx+0.12, sy+0.42, sw-0.2, sh-0.48, sitems, font_size=11)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 16 — LIFESTYLE MODIFICATION
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, LIGHT_GRAY)
slide_header(slide, "Points to Patient — Lifestyle Modification", "Heart-Healthy Living")
lifestyle = [
("Diet & Nutrition",
["• Low-salt diet (< 1 tsp/day)",
"• Reduce saturated & trans fats",
"• Eat more fruits, vegetables, whole grains",
"• Avoid fried and processed foods"]),
("Physical Activity",
["• Start with 10–15 min walks after discharge",
"• Gradually increase to 30 min/day, 5×/week",
"• No strenuous activity for 6 weeks",
"• Join cardiac rehabilitation programme"]),
("Smoking & Alcohol",
["• STOP SMOKING COMPLETELY",
" (Doubles the risk of another MI)",
"• Avoid passive smoke",
"• Limit / abstain from alcohol"]),
("Stress Management",
["• Deep breathing / meditation daily",
"• Get 7–8 hours of sleep",
"• Avoid emotional stress — triggers angina",
"• Seek counselling if needed"]),
("Weight Management",
["• Target BMI: 18.5–24.9 kg/m²",
"• Waist circumference < 90 cm (men)",
"• Monitor weight daily at home",
"• Gradual weight loss if overweight"]),
("Follow-up & Monitoring",
["• Cardiology follow-up every 3 months",
"• Daily home BP and pulse monitoring",
"• Report chest pain / breathlessness immediately",
"• Carry medication card — know emergency: 108"]),
]
ls_pos = [(0.3, 1.25), (4.55, 1.25), (8.8, 1.25),
(0.3, 4.3), (4.55, 4.3), (8.8, 4.3)]
for (stitle, sitems), (sx, sy) in zip(lifestyle, ls_pos):
sw, sh = 4.0, 2.85
add_rect(slide, sx, sy, sw, sh, WHITE, MED_BLUE, 1.2)
add_rect(slide, sx, sy, sw, 0.38, MED_BLUE)
add_textbox(slide, sx+0.08, sy+0.03, sw-0.16, 0.35, stitle, 11.5, True, WHITE)
add_bullet_box(slide, sx+0.12, sy+0.44, sw-0.2, sh-0.5, sitems, font_size=11)
# ══════════════════════════════════════════════════════════════════════════════
# SLIDE 17 — SUMMARY
# ══════════════════════════════════════════════════════════════════════════════
slide = prs.slides.add_slide(blank_layout)
add_rect(slide, 0, 0, 13.333, 7.5, DARK_BLUE)
add_rect(slide, 0, 1.8, 13.333, 3.9, MED_BLUE)
add_rect(slide, 0, 7.3, 13.333, 0.2, ACCENT_RED)
add_textbox(slide, 1, 0.3, 11.333, 0.8, "SOAP Note Summary",
30, True, WHITE, PP_ALIGN.CENTER)
add_textbox(slide, 1, 1.05, 11.333, 0.6,
"Anterior Wall STEMI | CAD — Double Vessel Disease | S.M.R., 59M",
16, color=RGBColor(0xB8, 0xD8, 0xF5), align=PP_ALIGN.CENTER)
summary_items = [
("S — Subjective", "Chest pain, radiation to left hand, profuse sweating, palpitations"),
("O — Objective", "CAG: DVDs (LAD+D1+LCx); BP: 100/60 (Day 2); PR: 112 (Day 2); SpO₂: 95%"),
("A — Assessment", "Anterior Wall MI (STEMI); CAD — Double Vessel Disease; s/p MVR 2009"),
("P — Plan", "DAPT (Aspirin+Clopidogrel), Heparin, Atorvastatin, Metoprolol, Ivabradine, Ranolazine, Trimetazidine MR, Pantoprazole"),
]
for i, (label, text) in enumerate(summary_items):
cy = 1.95 + i * 0.88
add_rect(slide, 0.5, cy, 2.5, 0.72, DARK_BLUE)
add_textbox(slide, 0.55, cy+0.08, 2.4, 0.58, label, 14, True, WHITE)
add_textbox(slide, 3.2, cy+0.08, 9.8, 0.65, text, 12, color=WHITE, wrap=True)
add_textbox(slide, 1, 5.65, 11.333, 0.55,
"Goals: Restore perfusion · Prevent re-infarction · LDL < 70 · BP < 130/80 · DAPT ≥ 12 months",
12, color=RGBColor(0xFF, 0xD7, 0x00), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.2, 11.333, 0.55,
"Patient Education: Disease awareness · Medication adherence · Lifestyle modification · Follow-up",
12, color=RGBColor(0xD6, 0xE8, 0xF7), align=PP_ALIGN.CENTER)
add_textbox(slide, 1, 6.75, 11.333, 0.45,
"Shri Vishnu College of Pharmacy | Department of Pharmacy Practice | 2026",
11, color=MID_GRAY, align=PP_ALIGN.CENTER)
# ─── SAVE ─────────────────────────────────────────────────────────────────────
out_path = "/tmp/workspace/soap-mi-case/SOAP_Anterior_Wall_MI_Case_v2.pptx"
buf = BytesIO()
prs.save(buf)
with open(out_path, "wb") as f:
f.write(buf.getvalue())
print(f"Saved: {out_path}")
print(f"Total slides: {len(prs.slides)}")
Running Command
cd /tmp/workspace/soap-mi-case && python create_pptx_v2.py 2>&1
Running Command
python3 - << 'EOF' import json, base64 from io import BytesIO from PIL import Image with open("/tmp/workspace/soap-mi-case/images.json") as f: img_data = json.load(f) for i, item in enumerate(img_data): raw = item["base64"] if "," in raw: raw = raw.split(",", 1)[1] bio = BytesIO(base64.b64decode(raw)) img = Image.open(bio) print(f"img[{i}]: format={img.format}, mode={img.mode}, size={img.size}") # convert and save as PNG out = BytesIO() img.convert("RGB").save(out, format="PNG") out.seek(0) path = f"/tmp/workspace/soap-mi-case/img_{i}.png" with open(path, "wb") as f2: f2.write(out.read()) print(f" saved -> {path}") EOF
Editing File
~/soap-mi-case/create_pptx_v2.py
Successfully replaced 1 instance(s) of the string in '/tmp/workspace/soap-mi-case/create_pptx_v2.py'
Running Command
cd /tmp/workspace/soap-mi-case && python create_pptx_v2.py 2>&1
Running Command
ls -lh /tmp/workspace/soap-mi-case/SOAP_Anterior_Wall_MI_Case_v2.pptx
Your updated presentation with medical images is ready!
SOAP Anterior Wall MI Case v2
Presentation · PPTX
Here's what was added — 6 real medical images embedded across 3 dedicated/updated slides:
| Slide | Image Added |
|---|---|
| Slide 5 — Objective Evidence | Coronary angiogram of the LAD artery with contrast opacification |
| Slide 6 — Assessment | Gross pathology photo of coronary atherosclerotic plaque with intraplaque haemorrhage (WebP converted to PNG) |
| Slide 9 — ECG Findings (new dedicated slide) | 12-lead ECG showing anterior STEMI with annotated ST elevation V1–V4 and reciprocal changes |
| Slide 10 — Coronary Artery Disease (new dedicated slide) | CCTA curved planar reformat (CPR) of LAD showing calcified + soft plaques |
| Slide 11 — MI Zones (new dedicated slide) | Porcine heart cross-sections showing Infarct Zone, Border Zone and Remote Zone |
The deck now has 17 slides (up from 14) with the extra image-focused educational slides inserted between Assessment and Goals of Therapy. All images have captions explaining what they show.
Please create a different style like creative way of slide design and add some thank you slide at last
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