tort law nursing NORCET 11 exam important concepts

https://wtcs.pressbooks.pub/nursingmhcc/chapter/5-4-laws-tor…

Handwritten-style nursing study notes on lined paper with a yellow highlighter effect. Title at top in large bold handwriting: "TORT LAW - NORCET 11" with a hand-drawn underline. Content written in neat blue pen handwriting style: Section 1 header (red): "What is a TORT?" - A civil wrong that causes harm/injury to a person - Act of commission (doing something wrong) OR omission (failing to do something) - Court imposes liability (compensation) - Mnemonic box: "TORT = Civil Wrong = COMPENSATION" Section 2 header (red): "2 TYPES OF TORTS" Left box labeled "1. INTENTIONAL TORTS" with star: • Assault - threatening to harm (no touch needed) • Battery - actual harmful touch WITHOUT consent • False Imprisonment - illegal restraint of patient • Slander - spoken false statements • Libel - WRITTEN false statements • Fraud - false documentation • Breach of Confidentiality Right box labeled "2. UNINTENTIONAL TORTS" with star: • Negligence - failure to use ordinary care • Malpractice = Negligence by a LICENSED professional Section 3 header (green): "4 ELEMENTS OF MALPRACTICE (DDBH)" • D - Duty (nurse had responsibility) • D - Dereliction (nurse failed the duty) • B - Breach caused Damage • H - Harm/Injury to patient Small sticky note drawn: "Remember: Malpractice = Negligence + License" Bottom banner: "NORCET 11 KEY POINTS" with arrow pointing to: Intentional = KNEW harm would happen | Unintentional = Did NOT intend harm Notebook paper background with faint blue horizontal lines, margin line in red on left side, slightly worn paper texture.

myocardial infarction heart attack diagram blocked coronary artery

Colorful fun handwritten-style nursing study notes on lined notebook paper, drawn as if explaining to a 10-year-old child. Bright colors, simple drawings, cartoon style with cute small hearts, stars, and lightning bolt doodles. Title at top in big bold colorful letters: "HEART ATTACK (Myocardial Infarction)" with small hand-drawn red heart with a crack in it. Section 1 - bright blue header box: "WHAT IS MI? (Simple Story!)" Handwritten text in fun style: "Imagine your heart is like a HOUSE and blood vessels are WATER PIPES. When a pipe gets BLOCKED by fat/cholesterol = no water reaches part of the house = that part DIES! That is MI!" Small cute drawing label: "Blocked pipe = MI" Section 2 - orange header: "CAUSES - Remember 3 Cs!" • Clot (thrombus) in coronary artery - MOST COMMON! • Cholesterol plaque (atherosclerosis) • Coronary artery spasm Section 3 - red header: "SYMPTOMS - ABCDE!" A - Aching/crushing chest pain (like elephant sitting on chest) B - Breathlessness C - Cold sweat D - Dizziness / Nausea / Vomiting E - Extreme fatigue, jaw/arm/shoulder pain Star note: "Pain does NOT go away with rest! (unlike angina)" Section 4 - green header: "DIAGNOSIS - 3 BFFs!" • ECG - ST elevation (STEMI) or no elevation (NSTEMI) • Troponin - MOST SPECIFIC marker (rises in 3-6 hrs) • CPK-MB - rises in 4-8 hrs, peaks 24 hrs Section 5 - purple header: "TREATMENT - MONA" M - Morphine (pain relief) O - Oxygen N - Nitrates (vasodilation) A - Aspirin (anti-platelet) + Heparin + PCI (stent) Bottom sticky note doodle: "STEMI = ST goes UP on ECG = Emergency PCI needed!" "NSTEMI = No ST rise but Troponin HIGH" Notebook paper background with blue lines, red margin, slightly colorful, fun cartoon doodles of tiny hearts and stars scattered around margins. Handwritten in multiple bright ink colors - blue, red, green, purple.

Detailed handwritten nursing exam study notes on realistic lined notebook paper with red margin line on left. Written in neat blue and black ink pen handwriting. Multiple colored headings using red, green, purple ink. Title at very top center in large bold red underlined handwriting: "MYOCARDIAL INFARCTION (MI)" with subtitle below in smaller writing "Heart Attack - NORCET 11 Notes" SECTION 1 - bold green box heading: "DEFINITION" Handwritten: "Death (necrosis) of myocardial muscle due to prolonged ischemia caused by complete blockage of coronary artery" Underlined note: "Ischemia > 20-40 mins → irreversible cell death" SECTION 2 - bold red heading: "TYPES" • STEMI - ST Elevation MI → complete occlusion → emergency PCI • NSTEMI - Non-ST Elevation MI → partial occlusion → medical management • Subendocardial MI - inner layer only • Transmural MI - full thickness of heart wall SECTION 3 - bold blue heading: "CAUSES (Risk Factors)" Modifiable: HTN, Diabetes, Smoking, Obesity, Hyperlipidemia, Stress Non-modifiable: Age (>45M, >55F), Male sex, Family history SECTION 4 - bold purple heading: "CLINICAL FEATURES" Chief complaint: Severe crushing chest pain, radiates to L arm/jaw/shoulder • NOT relieved by rest or nitrates • Duration > 30 mins • Associated: Dyspnea, diaphoresis, nausea/vomiting, palpitations, anxiety • "Silent MI" - diabetics, elderly, women (atypical) SECTION 5 - bold orange heading: "DIAGNOSIS - 3 KEY TESTS" 1. ECG: - STEMI: ST elevation + Q wave development - NSTEMI: ST depression / T wave inversion - Hyperacute T waves (earliest sign) 2. Cardiac Biomarkers table: | Marker | Rises | Peaks | Normal | | Troponin I/T | 3-6 hr | 12-24 hr | 7-10 days | | CPK-MB | 4-8 hr | 18-24 hr | 48-72 hr | | LDH | 24-48 hr | 3-6 days | 8-14 days | Circled: "Troponin = MOST SPECIFIC & SENSITIVE ★" 3. Echo: wall motion abnormality SECTION 6 - bold red heading: "TREATMENT - MONA + H" M - Morphine 2-4mg IV (pain + preload reduction) O - Oxygen (keep SpO2 >94%) N - Nitrates (GTN sublingual) A - Aspirin 300mg loading dose H - Heparin (anticoagulation) + Thrombolysis (if PCI not available within 2 hrs) + Primary PCI - GOLD STANDARD treatment for STEMI SECTION 7 - bold green heading: "NORCET KEY POINTS ★★★" • Best position: Semi-Fowler's (45°) • Most common artery: LAD = "Widow Maker" • Earliest ECG change: Hyperacute T wave • Most specific marker: Troponin I • Killip Class I-IV (severity grading) • Dressler's syndrome = post-MI pericarditis (2-10 wks later) Bottom right: small hand-drawn ECG wave showing ST elevation with arrow labeled "STEMI pattern" Realistic notebook paper texture, blue horizontal lines, red vertical margin, slightly worn edges, authentic handwritten look with ink variations

Handwritten nursing study notes page 2 on realistic lined notebook paper with red margin. Neat blue and black ink pen handwriting with colored subheadings. Top reads "MI Notes - Page 2 (NORCET 11)" underlined in red. SECTION 1 - bold red heading: "COMPLICATIONS OF MI" Early (within 24-48 hrs): • Arrhythmias - MOST COMMON complication (VF = most lethal) • Cardiogenic shock (Killip Class IV) • Acute LVF / Pulmonary edema • Cardiac arrest Late (days to weeks): • Dressler's Syndrome - fever + pericarditis (2-10 weeks after MI) • Ventricular aneurysm • Mural thrombus → systemic embolism • Mitral regurgitation (papillary muscle rupture) • Ventricular septal rupture SECTION 2 - bold blue heading: "KILLIP CLASSIFICATION (★ NORCET FAVORITE)" Class I - No heart failure signs - mortality 6% Class II - Mild HF, basal rales, S3 gallop - mortality 17% Class III - Severe HF, pulmonary edema - mortality 38% Class IV - Cardiogenic shock, BP<90 - mortality 67-81% SECTION 3 - bold green heading: "NURSING MANAGEMENT" Assessment: • Monitor VS every 15 min during acute phase • Continuous ECG monitoring (watch for arrhythmias!) • Monitor urine output (>30 ml/hr = adequate perfusion) • O2 saturation monitoring Interventions: • Bed rest - complete rest for first 24 hrs • Semi-Fowler's position (45°) - reduces cardiac workload • IV access - large bore cannula • NPO initially, then light diet • Reassurance - reduce anxiety (↓O2 demand) • Bowel care - avoid straining (Valsalva can worsen) Patient Education: • Lifestyle modification, medications, warning signs • Cardiac rehab program SECTION 4 - bold purple heading: "DRUG THERAPY SUMMARY" Acute Phase: MONA + Heparin + Clopidogrel Long-term: • Beta-blockers (metoprolol) - reduce O2 demand • ACE inhibitors - prevent remodeling • Statins - lower cholesterol • Aspirin 75mg daily - lifelong • Nitrates PRN SECTION 5 - bold orange heading: "QUICK MNEMONICS ★" MONA = Morphine, Oxygen, Nitrates, Aspirin "HEART" for MI risk factors: H - Hypertension E - Elevated cholesterol A - Age/Atherosclerosis R - Race/family history / smoking T - Type 2 diabetes Troponin Timeline box (hand drawn): 3hr → 6hr → 12-24hr → 7-10 days [Rises] → [Detected] → [PEAK] → [Normal] Bottom corner - small hand-drawn note: "LAD occlusion = Anterior MI (most common & serious)" Realistic notebook paper look, blue ruled lines, red margin line, authentic handwriting style

ls -la /tmp/workspace/ 2>/dev/null || mkdir -p /tmp/workspace && echo "workspace ready"

mkdir -p /tmp/workspace/mi-reference-card && cat > /tmp/workspace/mi-reference-card/create_pdf.py << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib import colors from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import mm, cm from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY from reportlab.platypus import KeepTogether from reportlab.lib.colors import HexColor # ── colour palette ────────────────────────────────────────────────────────── RED = HexColor('#C0392B') DARK_RED = HexColor('#922B21') ORANGE = HexColor('#E67E22') BLUE = HexColor('#2471A3') DARK_BLUE = HexColor('#1A5276') GREEN = HexColor('#1E8449') PURPLE = HexColor('#6C3483') YELLOW_BG = HexColor('#FDFBE6') LIGHT_RED = HexColor('#FADBD8') LIGHT_BLU = HexColor('#D6EAF8') LIGHT_GRN = HexColor('#D5F5E3') LIGHT_PUR = HexColor('#E8DAEF') LIGHT_ORG = HexColor('#FDEBD0') GREY_BG = HexColor('#F2F3F4') WHITE = colors.white BLACK = colors.black CARD_BG = HexColor('#FAFAFA') W, H = A4 # 595 x 842 pt # ── document ───────────────────────────────────────────────────────────────── doc = SimpleDocTemplate( '/tmp/workspace/mi-reference-card/MI_Quick_Reference.pdf', pagesize=A4, leftMargin=15*mm, rightMargin=15*mm, topMargin=12*mm, bottomMargin=12*mm, ) styles = getSampleStyleSheet() def S(name, **kw): return ParagraphStyle(name, **kw) # shared paragraph styles TITLE = S('title_main', fontName='Helvetica-Bold', fontSize=22, textColor=WHITE, alignment=TA_CENTER, spaceAfter=2) SUB = S('subtitle', fontName='Helvetica', fontSize=10, textColor=WHITE, alignment=TA_CENTER) SEC_HDR = S('sec_hdr', fontName='Helvetica-Bold', fontSize=11, textColor=WHITE, alignment=TA_CENTER) BODY = S('body', fontName='Helvetica', fontSize=9, textColor=BLACK, leading=14) BODY_B = S('body_bold', fontName='Helvetica-Bold', fontSize=9, textColor=BLACK, leading=14) SMALL = S('small', fontName='Helvetica', fontSize=8, textColor=HexColor('#555555'), leading=12) BULLET = S('bullet', fontName='Helvetica', fontSize=9, textColor=BLACK, leading=13, leftIndent=8, bulletIndent=0, bulletFontName='Helvetica') MONO_B = S('drug_name', fontName='Helvetica-Bold', fontSize=10, textColor=WHITE, alignment=TA_CENTER) DRUG_D = S('drug_desc', fontName='Helvetica', fontSize=8, textColor=HexColor('#222222'), leading=12) WARN = S('warn', fontName='Helvetica-Bold', fontSize=9, textColor=DARK_RED, alignment=TA_CENTER) NOTE = S('note', fontName='Helvetica-Oblique', fontSize=8, textColor=HexColor('#555555'), alignment=TA_CENTER) FOOTER = S('footer', fontName='Helvetica-Oblique', fontSize=7.5, textColor=HexColor('#888888'), alignment=TA_CENTER) # ── helper: section header bar ─────────────────────────────────────────────── def header_bar(text, bg): t = Table([[Paragraph(text, SEC_HDR)]], colWidths=[165*mm]) t.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), bg), ('ROUNDEDCORNERS', [4,4,4,4]), ('TOPPADDING', (0,0), (-1,-1), 5), ('BOTTOMPADDING',(0,0), (-1,-1), 5), ])) return t def bullet_row(emoji, text_bold, text_rest, bg=WHITE): return [Paragraph(emoji, BODY), Paragraph(f'<b>{text_bold}</b> {text_rest}', BODY)] # ═══════════════════════════════════════════════════════════════════ # TITLE BANNER # ═══════════════════════════════════════════════════════════════════ title_data = [[ Paragraph('🫀 MYOCARDIAL INFARCTION', TITLE), ],[ Paragraph('Quick Reference Card — NORCET 11', SUB), ],[ Paragraph('Signs &amp; Symptoms | MONA Treatment | Biomarkers | Key Nursing Points', NOTE), ]] title_tbl = Table(title_data, colWidths=[165*mm]) title_tbl.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), DARK_RED), ('ROUNDEDCORNERS',[6,6,6,6]), ('TOPPADDING', (0,0), (-1,-1), 8), ('BOTTOMPADDING', (0,0), (-1,-1), 8), ('ALIGN', (0,0), (-1,-1), 'CENTER'), ])) # ═══════════════════════════════════════════════════════════════════ # ROW 1 LEFT: DEFINITION | RIGHT: TYPES # ═══════════════════════════════════════════════════════════════════ def_data = [ [header_bar('📖 DEFINITION', DARK_BLUE)], [Paragraph('<b>Myocardial Infarction (MI)</b> = irreversible death (necrosis) of heart muscle due to prolonged ischemia from coronary artery blockage.', BODY)], [Spacer(1, 3)], [Paragraph('⏱ Ischemia &gt;20–40 min → irreversible cell death', BODY_B)], [Spacer(1, 3)], [Paragraph('• Plaque rupture → thrombus → complete/partial occlusion', BULLET)], [Paragraph('• Most common artery: <b>LAD ("Widow Maker")</b>', BULLET)], ] def_tbl = Table(def_data, colWidths=[80*mm]) def_tbl.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), LIGHT_BLU), ('ROUNDEDCORNERS', [4,4,4,4]), ('TOPPADDING', (0,0), (-1,-1), 4), ('BOTTOMPADDING', (0,0), (-1,-1), 4), ('LEFTPADDING', (0,1), (-1,-1), 6), ('RIGHTPADDING', (0,0), (-1,-1), 6), ])) types_data = [ [header_bar('📊 TYPES OF MI', PURPLE)], [Table([ [Paragraph('<b>STEMI</b>', BODY_B), Paragraph('ST elevation on ECG\nComplete occlusion\n→ Emergency PCI', SMALL)], [Paragraph('<b>NSTEMI</b>', BODY_B), Paragraph('No ST elevation\nPartial occlusion\n→ Medical Rx', SMALL)], [Paragraph('<b>Transmural</b>', BODY_B), Paragraph('Full wall thickness', SMALL)], [Paragraph('<b>Subendo-\ncardial</b>', BODY_B), Paragraph('Inner layer only', SMALL)], ], colWidths=[22*mm, 52*mm], style=TableStyle([ ('BACKGROUND', (0,0), (0,-1), HexColor('#EBD5F5')), ('BACKGROUND', (1,0), (1,-1), WHITE), ('GRID', (0,0), (-1,-1), 0.3, HexColor('#CCCCCC')), ('TOPPADDING', (0,0), (-1,-1), 3), ('BOTTOMPADDING', (0,0), (-1,-1), 3), ('LEFTPADDING', (0,0), (-1,-1), 4), ('FONTNAME', (0,0), (-1,-1), 'Helvetica'), ('FONTSIZE', (0,0), (-1,-1), 8), ('VALIGN', (0,0), (-1,-1), 'TOP'), ]))], ] types_tbl = Table(types_data, colWidths=[80*mm]) types_tbl.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), LIGHT_PUR), ('ROUNDEDCORNERS', [4,4,4,4]), ('TOPPADDING', (0,0), (-1,-1), 4), ('BOTTOMPADDING', (0,0), (-1,-1), 4), ('LEFTPADDING', (0,0), (-1,-1), 4), ('RIGHTPADDING', (0,0), (-1,-1), 4), ])) row1 = Table([[def_tbl, types_tbl]], colWidths=[82*mm, 83*mm], style=TableStyle([('VALIGN',(0,0),(-1,-1),'TOP'), ('LEFTPADDING',(0,0),(-1,-1),0), ('RIGHTPADDING',(0,0),(-1,-1),0), ('TOPPADDING',(0,0),(-1,-1),0), ('BOTTOMPADDING',(0,0),(-1,-1),0), ('COLPADDING',(0,0),(-1,-1),4), ])) # ═══════════════════════════════════════════════════════════════════ # SIGNS & SYMPTOMS (full width) # ═══════════════════════════════════════════════════════════════════ sym_rows = [ ['🔴', 'Chest Pain', 'Severe crushing/squeezing — "elephant on chest", radiates to L arm, jaw, shoulder. Lasts >30 min. NOT relieved by rest or GTN.'], ['🔵', 'Dyspnea', 'Shortness of breath due to reduced cardiac output'], ['🟡', 'Diaphoresis', 'Cold, clammy sweating'], ['🟠', 'Nausea / Vomiting', 'Due to vagal stimulation'], ['🟣', 'Palpitations', 'Arrhythmias — feeling of irregular/fast heartbeat'], ['⚪', 'Anxiety / Sense of doom', '"Feeling of impending death"'], ['🟤', 'Pallor / Cyanosis', 'Poor perfusion — pale or bluish skin'], ['⭐', 'Silent MI', 'NO chest pain! — seen in diabetics, elderly, women'], ] sym_header = [ Paragraph('', BODY), Paragraph('<b>Symptom</b>', BODY_B), Paragraph('<b>Description</b>', BODY_B) ] sym_table_data = [sym_header] + [ [Paragraph(r[0], BODY), Paragraph('<b>'+r[1]+'</b>', BODY), Paragraph(r[2], SMALL)] for r in sym_rows ] sym_inner = Table(sym_table_data, colWidths=[6*mm, 38*mm, 116*mm]) sym_inner.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,0), RED), ('TEXTCOLOR', (0,0), (-1,0), WHITE), ('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'), ('FONTSIZE', (0,0), (-1,-1), 8.5), ('GRID', (0,0), (-1,-1), 0.3, HexColor('#CCCCCC')), ('ROWBACKGROUNDS',(0,1), (-1,-1), [WHITE, LIGHT_RED]), ('TOPPADDING', (0,0), (-1,-1), 3), ('BOTTOMPADDING', (0,0), (-1,-1), 3), ('LEFTPADDING', (0,0), (-1,-1), 4), ('VALIGN', (0,0), (-1,-1), 'MIDDLE'), ])) sym_section = Table([ [header_bar('🩺 SIGNS & SYMPTOMS', RED)], [sym_inner], ], colWidths=[165*mm]) sym_section.setStyle(TableStyle([ ('BACKGROUND', (0,0), (-1,-1), LIGHT_RED), ('ROUNDEDCORNERS',[4,4,4,4]), ('TOPPADDING', (0,0), (-1,-1), 4), ('BOTTOMPADDING',(0,0), (-1,-1), 4), ('LEFTPADDING', (0,0), (-1,-1), 4), ('RIGHTPADDING', (0,0), (-1,-1), 4), ])) # ═══════════════════════════════════════════════════════════════════ # MONA TREATMENT (4 columns) # ═══════════════════════════════════════════════════════════════════ def mona_card(letter, drug, dose, purpose, bg, tc): inner = Table([ [Paragraph(letter, S('ml', fontName='Helvetica-Bold', fontSize=28, textColor=WHITE, alignment=TA_CENTER))], [Paragraph(drug, S('dn', fontName='Helvetica-Bold', fontSize=10, textColor=WHITE, alignment=TA_CENTER))], [Paragraph(dose, S('dd', fontName='Helvetica', fontSize=8, textColor=HexColor('#EEEEEE'), alignment=TA_CENTER))], [Spacer(1,3)], [Paragraph(purpose,S('dp', fontName='Helvetica', fontSize=8, textColor=BLACK, alignment=TA_CENTER, leading=11))], ], colWidths=[37*mm]) inner.setStyle(TableStyle([ ('BACKGROUND', (0,0), (0,2), bg), ('BACKGROUND', (0,3), (0,4), HexColor('#FAFAFA')), ('TOPPADDING', (0,0), (-1,-1), 4), ('BOTTOMPADDING', (0,0), (-1,-1), 4), ('ALIGN', (0,0), (-1,-1), 'CENTER'), ])) outer = Table([[inner]], colWidths=[39*mm]) outer.setStyle(TableStyle([ ('BOX', (0,0), (-1,-1), 1.2, bg), ('ROUNDEDCORNERS', [5,5,5,5]), ('LEFTPADDING', (0,0), (-1,-1), 0), ('RIGHTPADDING', (0,0), (-1,-1), 0), ('TOPPADDING', (0,0), (-1,-1), 0), ('BOTTOMPADDING',(0,0), (-1,-1), 0), ])) return outer m_card = mona_card('M', 'MORPHINE', '2–4 mg IV', 'Pain relief\nReduces preload\nDecreases anxiety', HexColor('#C0392B'), WHITE) o_card = mona_card('O', 'OXYGEN', 'SpO₂ target >94%', 'Increase O₂ delivery\nto ischemic myocardium', HexColor('#2471A3'), WHITE) n_card = mona_card('N', 'NITRATES', 'GTN 0.4mg sublingual', 'Vasodilation\nReduces preload\n& afterload', HexColor('#1E8449'), WHITE) a_card = mona_card('A', 'ASPIRIN', '300 mg loading dose', 'Anti-platelet\nPrevents clot\nexpansion', HexColor('#D35400'), WHITE) mona_row = Table([[m_card, o_card, n_card, a_card]], colWidths=[41*mm,41*mm,41*mm,41*mm]) mona_row.setStyle(TableStyle([ ('VALIGN', (0,0),(-1,-1),'TOP'), ('ALIGN', (0,0),(-1,-1),'CENTER'), ('LEFTPADDING', (0,0),(-1,-1), 1), ('RIGHTPADDING', (0,0),(-1,-1), 1), ('TOPPADDING', (0,0),(-1,-1), 0), ('BOTTOMPADDING',(0,0),(-1,-1), 0), ])) plus_hep = Table([[ Paragraph('➕ HEPARIN (IV anticoagulation) | ➕ CLOPIDOGREL 300mg (antiplatelet) | ⭐ Primary PCI = GOLD STANDARD for STEMI (target ≤90 min)', S('ph', fontName='Helvetica-Bold', fontSize=9, textColor=WHITE, alignment=TA_CENTER)) ]], colWidths=[165*mm]) plus_hep.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,-1), DARK_BLUE), ('TOPPADDING', (0,0),(-1,-1), 5), ('BOTTOMPADDING', (0,0),(-1,-1), 5), ('ROUNDEDCORNERS',[4,4,4,4]), ])) mona_section = Table([ [header_bar('💊 MONA TREATMENT (Give in Order!)', HexColor('#922B21'))], [mona_row], [Spacer(1,4)], [plus_hep], ], colWidths=[165*mm]) mona_section.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,-1), LIGHT_ORG), ('ROUNDEDCORNERS',[4,4,4,4]), ('TOPPADDING', (0,0),(-1,-1), 4), ('BOTTOMPADDING', (0,0),(-1,-1), 4), ('LEFTPADDING', (0,0),(-1,-1), 4), ('RIGHTPADDING', (0,0),(-1,-1), 4), ])) # ═══════════════════════════════════════════════════════════════════ # ROW 3: BIOMARKERS | NURSING KEY POINTS # ═══════════════════════════════════════════════════════════════════ bio_rows = [ ['Marker', 'Rises', 'Peaks', 'Normal'], ['Troponin I/T ★', '3–6 hr', '12–24 hr', '7–10 days'], ['CPK-MB', '4–8 hr', '18–24 hr', '48–72 hr'], ['LDH', '24–48 hr', '3–6 days', '8–14 days'], ['Myoglobin', '1–3 hr', '6–9 hr', '24–36 hr'], ] bio_inner = Table(bio_rows, colWidths=[22*mm,16*mm,17*mm,17*mm]) bio_inner.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,0), GREEN), ('TEXTCOLOR', (0,0),(-1,0), WHITE), ('FONTNAME', (0,0),(-1,0), 'Helvetica-Bold'), ('BACKGROUND', (0,1),(0,-1), LIGHT_GRN), ('FONTNAME', (0,1),(0,-1), 'Helvetica-Bold'), ('FONTSIZE', (0,0),(-1,-1), 8), ('GRID', (0,0),(-1,-1), 0.4, HexColor('#AAAAAA')), ('ALIGN', (0,0),(-1,-1), 'CENTER'), ('ROWBACKGROUNDS',(0,1),(-1,-1), [WHITE, LIGHT_GRN]), ('TOPPADDING', (0,0),(-1,-1), 3), ('BOTTOMPADDING', (0,0),(-1,-1), 3), ])) troponin_note = Table([[ Paragraph('★ Troponin = MOST SPECIFIC &amp; SENSITIVE marker for MI', S('tn', fontName='Helvetica-Bold', fontSize=8, textColor=DARK_RED, alignment=TA_CENTER)) ]], colWidths=[73*mm]) troponin_note.setStyle(TableStyle([ ('BACKGROUND',(0,0),(-1,-1), HexColor('#FDEDEC')), ('BOX', (0,0),(-1,-1), 1, RED), ('TOPPADDING',(0,0),(-1,-1), 4), ('BOTTOMPADDING',(0,0),(-1,-1),4), ])) bio_section = Table([ [header_bar('🔬 CARDIAC BIOMARKERS', GREEN)], [bio_inner], [Spacer(1,3)], [troponin_note], ], colWidths=[77*mm]) bio_section.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,-1), LIGHT_GRN), ('ROUNDEDCORNERS',[4,4,4,4]), ('TOPPADDING', (0,0),(-1,-1), 4), ('BOTTOMPADDING', (0,0),(-1,-1), 4), ('LEFTPADDING', (0,0),(-1,-1), 4), ('RIGHTPADDING', (0,0),(-1,-1), 4), ])) nurs_bullets = [ ('📍', 'Position:', 'Semi-Fowler\'s (45°) — reduces cardiac workload'), ('❤', 'Monitor:', 'Continuous ECG — watch for arrhythmias (VF most lethal!)'), ('💧', 'Urine output:', '>30 mL/hr = adequate perfusion'), ('😴', 'Activity:', 'Complete bed rest for first 24 hrs'), ('😮\u200d💨', 'O₂:', 'Maintain SpO₂ >94%'), ('📝', 'Avoid:', 'Straining/Valsalva — use stool softeners'), ('🧡', 'Reassure:', 'Reduces anxiety → reduces O₂ demand'), ('💊', 'Dressler\'s:', 'Post-MI pericarditis (2–10 wks) — fever + chest pain'), ('🏥', 'Killip IV:', 'Cardiogenic shock — mortality ~67–81%'), ] nurs_rows = [[Paragraph(b[0],SMALL), Paragraph(f'<b>{b[1]}</b> {b[2]}', SMALL)] for b in nurs_bullets] nurs_inner = Table(nurs_rows, colWidths=[6*mm, 76*mm]) nurs_inner.setStyle(TableStyle([ ('ROWBACKGROUNDS',(0,0),(-1,-1),[WHITE, LIGHT_BLU]), ('TOPPADDING', (0,0),(-1,-1), 2), ('BOTTOMPADDING',(0,0),(-1,-1), 2), ('LEFTPADDING', (0,0),(-1,-1), 3), ('FONTSIZE', (0,0),(-1,-1), 8), ('GRID', (0,0),(-1,-1), 0.2, HexColor('#DDDDDD')), ('VALIGN', (0,0),(-1,-1),'MIDDLE'), ])) nurs_section = Table([ [header_bar('🏥 NURSING KEY POINTS', DARK_BLUE)], [nurs_inner], ], colWidths=[88*mm]) nurs_section.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,-1), LIGHT_BLU), ('ROUNDEDCORNERS',[4,4,4,4]), ('TOPPADDING', (0,0),(-1,-1), 4), ('BOTTOMPADDING', (0,0),(-1,-1), 4), ('LEFTPADDING', (0,0),(-1,-1), 4), ('RIGHTPADDING', (0,0),(-1,-1), 4), ])) row3 = Table([[bio_section, nurs_section]], colWidths=[82*mm, 83*mm], style=TableStyle([ ('VALIGN',(0,0),(-1,-1),'TOP'), ('LEFTPADDING',(0,0),(-1,-1),0), ('RIGHTPADDING',(0,0),(-1,-1),0), ('TOPPADDING',(0,0),(-1,-1),0), ('BOTTOMPADDING',(0,0),(-1,-1),0), ('COLPADDING',(0,0),(-1,-1),4), ])) # ═══════════════════════════════════════════════════════════════════ # BOTTOM HIGHLIGHT BAR — NORCET HIGH-YIELD # ═══════════════════════════════════════════════════════════════════ hy_items = [ '⭐ LAD = "Widow Maker"', '⭐ Troponin = Most Specific', '⭐ VF = Most Lethal Arrhythmia', '⭐ Primary PCI = Gold Standard', '⭐ Earliest ECG = Hyperacute T waves', '⭐ Silent MI → Diabetics/Elderly', ] hy_cols = [Table([[Paragraph(i, S('hy', fontName='Helvetica-Bold', fontSize=8, textColor=WHITE, alignment=TA_CENTER))]], colWidths=[26*mm], style=TableStyle([ ('BACKGROUND',(0,0),(-1,-1), HexColor('#922B21')), ('ROUNDEDCORNERS',[3,3,3,3]), ('TOPPADDING',(0,0),(-1,-1),4), ('BOTTOMPADDING',(0,0),(-1,-1),4), ])) for i in hy_items] hy_row = Table([hy_cols], colWidths=[27.5*mm]*6) hy_row.setStyle(TableStyle([ ('LEFTPADDING',(0,0),(-1,-1),1), ('RIGHTPADDING',(0,0),(-1,-1),1), ('TOPPADDING',(0,0),(-1,-1),0), ('BOTTOMPADDING',(0,0),(-1,-1),0), ('ALIGN',(0,0),(-1,-1),'CENTER'), ])) hy_section = Table([ [header_bar('🎯 NORCET 11 HIGH-YIELD POINTS', HexColor('#641E16'))], [hy_row], ], colWidths=[165*mm]) hy_section.setStyle(TableStyle([ ('BACKGROUND', (0,0),(-1,-1), HexColor('#FDEDEC')), ('ROUNDEDCORNERS',[4,4,4,4]), ('TOPPADDING', (0,0),(-1,-1), 5), ('BOTTOMPADDING', (0,0),(-1,-1), 5), ('LEFTPADDING', (0,0),(-1,-1), 4), ('RIGHTPADDING', (0,0),(-1,-1), 4), ])) # ── footer ─────────────────────────────────────────────────────────────────── footer = Paragraph( 'Sources: Guyton &amp; Hall Medical Physiology • Rosen\'s Emergency Medicine • Braunwald\'s Heart Disease | NORCET 11 Exam Prep', FOOTER) # ═══════════════════════════════════════════════════════════════════ # BUILD STORY # ═══════════════════════════════════════════════════════════════════ story = [ title_tbl, Spacer(1, 5), row1, Spacer(1, 5), sym_section, Spacer(1, 5), mona_section, Spacer(1, 5), row3, Spacer(1, 5), hy_section, Spacer(1, 4), footer, ] doc.build(story) print("PDF created successfully!") PYEOF echo "Script written."

cd /tmp/workspace/mi-reference-card && python create_pdf.py 2>&1

ls -lh /tmp/workspace/mi-reference-card/MI_Quick_Reference.pdf