Jalodar Ayurveda Charaka Samhita ascites aetiopathogenesis symptoms treatment

https://pmc.ncbi.nlm.nih.gov/articles/PMC6153904

Jalodara Charaka Samhita Chikitsa Sthana nidana hetu samprapti symptoms types modern correlation

https://pdfs.semanticscholar.org/a673/01bffb0c385378763c4261…

ls -la /home/daytona/workspace/ 2>/dev/null || mkdir -p /home/daytona/workspace

mkdir -p /home/daytona/workspace/jalodar-ascites && python3 -c "from reportlab.l…

~/jalodar-ascites/generate_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable
)
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY

OUTPUT = "/home/daytona/workspace/jalodar-ascites/Jalodar_Ascites_Comparison.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=1.8*cm, rightMargin=1.8*cm,
    topMargin=1.8*cm, bottomMargin=1.8*cm,
)

styles = getSampleStyleSheet()

# Custom styles
title_style = ParagraphStyle(
    "Title", parent=styles["Normal"],
    fontSize=13, fontName="Helvetica-Bold",
    alignment=TA_CENTER, spaceAfter=4,
    textColor=colors.HexColor("#1a3c5e"),
)
subtitle_style = ParagraphStyle(
    "Subtitle", parent=styles["Normal"],
    fontSize=10, fontName="Helvetica-Oblique",
    alignment=TA_CENTER, spaceAfter=6,
    textColor=colors.HexColor("#2c6e9e"),
)
section_style = ParagraphStyle(
    "Section", parent=styles["Normal"],
    fontSize=9, fontName="Helvetica-Bold",
    spaceAfter=3, spaceBefore=8,
    textColor=colors.HexColor("#1a3c5e"),
    borderPad=2,
)
body_style = ParagraphStyle(
    "Body", parent=styles["Normal"],
    fontSize=7.5, fontName="Helvetica",
    spaceAfter=2, leading=11,
    textColor=colors.black,
)
cell_style = ParagraphStyle(
    "Cell", parent=styles["Normal"],
    fontSize=7, fontName="Helvetica",
    leading=10, textColor=colors.black,
    spaceAfter=0,
)
cell_bold = ParagraphStyle(
    "CellBold", parent=styles["Normal"],
    fontSize=7, fontName="Helvetica-Bold",
    leading=10, textColor=colors.HexColor("#1a3c5e"),
    spaceAfter=0,
)

# Colors
HEADER_BG = colors.HexColor("#1a3c5e")
ALT_ROW    = colors.HexColor("#eaf4fb")
WHITE      = colors.white
LIGHT_BLUE = colors.HexColor("#d0e8f5")

def make_table(headers, rows, col_widths):
    data = [[Paragraph(h, ParagraphStyle("H", parent=cell_bold,
                        textColor=WHITE, fontSize=7.5)) for h in headers]]
    for i, row in enumerate(rows):
        data.append([Paragraph(str(c), cell_style) for c in row])
    tbl = Table(data, colWidths=col_widths, repeatRows=1)
    style = [
        ("BACKGROUND", (0,0), (-1,0), HEADER_BG),
        ("TEXTCOLOR",  (0,0), (-1,0), WHITE),
        ("FONTNAME",   (0,0), (-1,0), "Helvetica-Bold"),
        ("GRID",       (0,0), (-1,-1), 0.4, colors.HexColor("#8aafc5")),
        ("VALIGN",     (0,0), (-1,-1), "TOP"),
        ("TOPPADDING", (0,0), (-1,-1), 3),
        ("BOTTOMPADDING",(0,0),(-1,-1), 3),
        ("LEFTPADDING",(0,0), (-1,-1), 4),
        ("RIGHTPADDING",(0,0),(-1,-1), 4),
    ]
    for i in range(1, len(data)):
        bg = ALT_ROW if i % 2 == 0 else WHITE
        style.append(("BACKGROUND", (0,i), (-1,i), bg))
    tbl.setStyle(TableStyle(style))
    return tbl

def section(num, title):
    return Paragraph(f"{num}. {title}", section_style)

story = []

# ── TITLE ──────────────────────────────────────────────────────────────
story.append(Paragraph("9. COMPARISON OF CHIKITSA CONCEPTS OF SAMHITA", title_style))
story.append(Paragraph("WITH CONTEMPORARY MEDICAL SCIENCE", title_style))
story.append(Paragraph("Topic: Jalodar (Jalodara) & Ascites (Ascitis)", subtitle_style))
story.append(HRFlowable(width="100%", thickness=1.5, color=HEADER_BG, spaceAfter=6))

# ── 1. CHARAKA SAMHITA ─────────────────────────────────────────────────
story.append(section("1", "Study of Disease & Principles of Management from Charaka Samhita"))
story.append(Paragraph(
    "<b>Jalodara</b> is described in <b>Charaka Samhita, Chikitsa Sthana (Ch.13)</b> under <b>Udara Roga</b> "
    "(8 types of abdominal diseases). It denotes accumulation of fluid (Udaka/Jala) in the abdominal cavity. "
    "Charaka termed it <b>Asadhya</b> (incurable); Sushruta called all Udara Roga <b>Mahagada</b> (grave ailment).",
    body_style))

story.append(Paragraph("<b>Nidana (Causes):</b> Mandagni (low digestive fire), Ati-ushna-amla-lavana-vidahi ahara, "
    "Atimadyapana (excess alcohol), Mala Sanchaya, Malinabhojana.", body_style))

story.append(Paragraph("<b>Samprapti:</b> Mandagni → Mala &amp; Dosha Sanchaya → Strotorodha of Udakvaha &amp; "
    "Rasavaha Srotasa → disturbs Agni (liver), Apana (renal), Prana (cardiac) → Udaka sanchaya in Udara.", body_style))

story.append(Paragraph("<b>Lakshanas:</b> Udara vriddhi (distension), Shotha (oedema), Kshudhamandya (anorexia), "
    "Shwasa (dyspnoea), Daurbalya (weakness), Pandu (pallor).", body_style))

story.append(Paragraph("<b>Chikitsa Sutra:</b> Nidana Parivarjana → Agnidipti (Trikatu Churna) → Nityavirechana "
    "(Trivrutta Avaleha) → Apyadoshaharana (Gomutra + Kshara) → Ksheerabhojana (milk diet). "
    "Shamana: Punarnavadi Kwatha, Arogyavardhini Vati, Punarnavadi Mandura.", body_style))

story.append(Spacer(1, 4))

# ── 2. CORRELATION ─────────────────────────────────────────────────────
story.append(section("2", "Correlation with Modern Science"))
corr_rows = [
    ["Jalodara", "Ascites (peritoneal fluid > 25 mL)"],
    ["Mandagni", "Impaired hepatic metabolism"],
    ["Strotorodha (Udakvaha/Rasavaha)", "Portal hypertension → lymphatic &amp; vascular obstruction"],
    ["Agni (hepatic function)", "Hepatic synthetic/metabolic function"],
    ["Apana Vayu (renal function)", "RAAS activation, renal sodium retention"],
    ["Prana (cardiac function)", "Effective circulating volume / cardiac output"],
    ["Nityavirechana", "Diuretic therapy / therapeutic purgation"],
    ["Shotha", "Peripheral oedema"],
    ["Pandu", "Anaemia (hepatic/nutritional)"],
    ["Gomutra", "Natural diuretic (urea, K compounds)"],
    ["Ksheerabhojana", "High-protein dietary supplementation"],
]
story.append(make_table(["Ayurvedic Term", "Modern Equivalent"], corr_rows, [8*cm, 10.5*cm]))
story.append(Spacer(1, 4))

# ── 3. AETIOPATHOGENESIS ───────────────────────────────────────────────
story.append(section("3", "Compare Aetiopathogenesis, Symptomatology: Charaka Samhita vs Modern Science"))
comp_rows = [
    ["a. Definition",
     "Fluid (Udaka) accumulation in Udara between Twaka &amp; Mamsa; one of 8 Udararogas",
     "Pathological fluid in peritoneal cavity >25 mL; most common complication of cirrhosis"],
    ["b. Aetiology",
     "Mandagni, Ati-ushna-amla-lavana diet, Atimadyapana (alcohol), Mala Sanchaya, Vata-Kapha Dosha",
     "Hepatic cirrhosis (75%), alcoholic liver disease, viral hepatitis, malignancy, cardiac failure, nephrotic syndrome"],
    ["c. Pathogenesis",
     "Mandagni → Dosha Sanchaya → Strotorodha → Agni/Apana/Prana disturbance → Udaka sanchaya",
     "Cirrhosis → portal HTN → splanchnic vasodilatation → effective arterial hypovolemia → RAAS/SNS activation → Na/water retention → peritoneal transudation"],
    ["d. Symptoms",
     "Udara vriddhi, Shotha (pedal oedema), Kshudhamandya, Shwasa, Daurbalya, Pandu, Oliguria",
     "Abdominal distension, pedal oedema, anorexia, dyspnoea, weakness, jaundice, shifting dullness, fluid thrill"],
    ["f. Prognosis",
     "Asadhya (incurable) per Charaka; Paratantra Jalodara worse prognosis",
     "50% 2-year mortality without transplant; Child-Pugh &amp; MELD scores used for prognostication"],
]
story.append(make_table(
    ["", "Ayurvedic Perspective (Charaka Samhita)", "Contemporary Medical Science"],
    comp_rows, [2*cm, 8.5*cm, 8*cm]))
story.append(Spacer(1, 4))

# ── 4. TREATMENT ───────────────────────────────────────────────────────
story.append(section("4", "Analyse the Treatment Modalities"))
tx_rows = [
    ["Nidana Parivarjana – avoid alcohol, spicy/salty food",
     "Treat underlying cause: alcohol cessation, antivirals for hepatitis"],
    ["Agnidipti: Trikatu Churna, Shivakshar Pachana Churna",
     "Nutritional support: high-protein diet (1.2–1.5 g/kg/day), correct deficiencies"],
    ["Nityavirechana (daily purgation): Trivrutta Avaleha",
     "Diuretics: Spironolactone 100–400 mg/day + Furosemide 40–160 mg/day"],
    ["Apyadoshaharana: Gomutra + Kshara (natural diuretics)",
     "Large Volume Paracentesis (LVP) + albumin infusion (6–8 g/L drained)"],
    ["Ksheerabhojana (exclusive milk diet)",
     "Sodium restriction (<2 g/day); fluid restriction if Na <120 mEq/L"],
    ["Punarnavadi Kwatha, Arogyavardhini Vati, Punarnava Swarasa",
     "Hepatoprotective agents (silymarin); beta-blockers to reduce portal pressure"],
    ["Erandabhrishta Haritaki (Vatanulomana)",
     "TIPS (Transjugular Intrahepatic Portosystemic Shunt) for refractory ascites"],
    ["Lepa: Hingu-Shunthi on abdomen; Udara patta bandhana",
     "Liver transplantation – definitive treatment for end-stage disease"],
]
story.append(make_table(
    ["Ayurvedic Perspective (Charaka Samhita)", "Contemporary Medical Science"],
    tx_rows, [9*cm, 9.5*cm]))
story.append(Spacer(1, 4))

# ── 5. INTEGRATIVE POTENTIAL ───────────────────────────────────────────
story.append(section("5", "Explore Integrative Potential"))
int_rows = [
    ["Nityavirechana acts on Samprapti – breaks pathogenesis chain via intestinal fluid modulation &amp; hepatic stimulation",
     "Modern diuretics block RAAS at renal tubule level; complementary mechanisms possible"],
    ["Punarnava (Boerhavia diffusa) – documented diuretic, anti-inflammatory &amp; hepatoprotective activity; reduces ascitic fluid &amp; oedema",
     "Active constituent punarnavoside shows diuretic &amp; hepatoprotective effects in pharmacological studies"],
    ["Ksheerabhojana provides protein – prevents further hepatic compromise &amp; sarcopenia",
     "High-protein nutrition is now standard in hepatology; prevents sarcopenia in cirrhotic ascites"],
    ["Shodhana + Shamana (purification + pacification) – dual-axis approach",
     "Modern: diuretics + paracentesis + nutritional correction + treating underlying cause"],
]
story.append(make_table(
    ["Ayurvedic Perspective", "Contemporary Medical Science"],
    int_rows, [9*cm, 9.5*cm]))
story.append(Spacer(1, 4))

# ── 6. STRENGTHS & LIMITATIONS ─────────────────────────────────────────
story.append(section("6", "Identify the Strength and Limitations of Both"))
sl_rows = [
    ["Strengths",
     "• Holistic – targets root cause (Mandagni)\n• Natural formulations; minimal side effects\n• Cost-effective; community accessible\n• Ksheerabhojana: simultaneous nutrition + therapy\n• Comprehensive lifestyle (Nidana Parivarjana)",
     "• Evidence-based RCTs for diuretics &amp; LVP\n• Quantifiable outcomes (SAAG, Child-Pugh, MELD)\n• Rapid relief in tense ascites (paracentesis)\n• TIPS &amp; transplant for refractory/end-stage cases\n• Accurate objective diagnosis (USG, LFT, SAAG)"],
    ["Limitations",
     "• Limited clinical trial data; subjective outcomes\n• Long treatment (3–6 months) before results\n• Charaka himself called it 'Asadhya'\n• Gomutra: cultural/acceptance barriers\n• No standardized modern dosage protocols",
     "• Diuretics: risk of electrolyte imbalance, HRS, hyponatraemia\n• Paracentesis: invasive, repeated procedures needed\n• TIPS: risk of hepatic encephalopathy\n• Transplant: limited organ availability &amp; high cost\n• Symptomatic relief only – high recurrence"],
]
story.append(make_table(
    ["", "Ayurvedic View (Charaka Samhita)", "Modern View"],
    sl_rows, [2*cm, 8.5*cm, 8*cm]))
story.append(Spacer(1, 4))

# ── 7. OTHER POINTS ────────────────────────────────────────────────────
story.append(section("7", "Other Points"))
op_rows = [
    ["8 types of Udara Roga: Vatodara, Pittodara, Kaphodara, Sannipatodara, Pleehodara, Baddhogudodara, Chidrodara, Jalodara",
     "Modern classification by SAAG: ≥1.1 g/dL (portal HTN – transudate); <1.1 g/dL (malignancy, TB, pancreatitis – exudate)"],
    ["Jalodara types: Svatantra (primary/independent) &amp; Paratantra (secondary – due to Pandu, Kamala)",
     "Grading: Grade 1 (mild, USG only), Grade 2 (moderate, symmetric distension), Grade 3 (tense ascites) – Int'l Ascites Club"],
    ["Shalyakarma (Udara Vyadhana) – surgical drainage described by Sushruta for extreme cases",
     "Therapeutic paracentesis under USG guidance; SBP prophylaxis with norfloxacin in high-risk patients"],
    ["Apathya: salt, spicy food, fermented items, over-eating, day sleep",
     "Avoid NSAIDs (worsen renal function), aminoglycosides, alcohol; Na restriction <2 g/day"],
]
story.append(make_table(
    ["Ayurvedic Perspective", "Contemporary Medical Science"],
    op_rows, [9*cm, 9.5*cm]))
story.append(Spacer(1, 4))

# ── 8. CONCLUSION ──────────────────────────────────────────────────────
story.append(section("8", "Conclusion"))
conc_rows = [
    ["Jalodara represents a severe Udara Roga arising from Mandagni, Dosha Sanchaya &amp; Strotorodha. "
     "Charaka's protocol of Nityavirechana, Agnidipti, Ksheerabhojana &amp; Shamana Aushadhis "
     "(Punarnava, Arogyavardhini Vati) systematically addresses the pathogenesis chain. "
     "Despite being classified Asadhya, Ayurvedic management shows significant clinical improvement "
     "in abdominal girth, oedema, dyspnoea, and liver function parameters – safely and cost-effectively.",
     "Ascites, most commonly from hepatic cirrhosis and portal hypertension, requires early diagnosis "
     "(SAAG, USG, LFT) and graded management: sodium restriction + diuretics (Grade 1–2); LVP + albumin (Grade 3); "
     "TIPS or liver transplant for refractory cases. Despite effective symptomatic control, 2-year mortality "
     "remains ~50% without transplant. Integrative use of Ayurvedic hepatoprotective herbs (Punarnava) "
     "alongside modern therapy shows promise and warrants formal RCTs."],
]
story.append(make_table(
    ["Ayurvedic Perspective (Charaka Samhita)", "Contemporary Medical Science"],
    conc_rows, [9*cm, 9.5*cm]))

# ── FOOTER ─────────────────────────────────────────────────────────────
story.append(Spacer(1, 8))
story.append(HRFlowable(width="100%", thickness=0.8, color=HEADER_BG, spaceAfter=4))
story.append(Paragraph(
    "<i>References: Charaka Samhita, Chikitsa Sthana Ch.13 | "
    "Sleisenger &amp; Fordtran's GI &amp; Liver Disease, Ch.93 | "
    "Goldman-Cecil Medicine | PMC6153904</i>",
    ParagraphStyle("Footer", parent=styles["Normal"], fontSize=6.5,
                   textColor=colors.grey, alignment=TA_CENTER)))

doc.build(story)
print(f"PDF saved: {OUTPUT}")

python3 /home/daytona/workspace/jalodar-ascites/generate_pdf.py

~/jalodar-ascites/generate_concise_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable
from reportlab.lib.enums import TA_CENTER, TA_LEFT

OUTPUT = "/home/daytona/workspace/jalodar-ascites/Jalodar_Ascites_Concise.pdf"

doc = SimpleDocTemplate(
    OUTPUT, pagesize=A4,
    leftMargin=1.5*cm, rightMargin=1.5*cm,
    topMargin=1.4*cm, bottomMargin=1.4*cm,
)

DARK   = colors.HexColor("#1a3c5e")
MID    = colors.HexColor("#2c6e9e")
LIGHT  = colors.HexColor("#dceef7")
ALT    = colors.HexColor("#f2f8fc")
WHITE  = colors.white
GREY   = colors.HexColor("#555555")

def sty(name, base, **kw):
    return ParagraphStyle(name, parent=base, **kw)

base = getSampleStyleSheet()["Normal"]
T  = sty("T",  base, fontSize=12, fontName="Helvetica-Bold", alignment=TA_CENTER, textColor=DARK, spaceAfter=2)
ST = sty("ST", base, fontSize=8,  fontName="Helvetica-Oblique", alignment=TA_CENTER, textColor=MID, spaceAfter=5)
SH = sty("SH", base, fontSize=8,  fontName="Helvetica-Bold", textColor=DARK, spaceBefore=6, spaceAfter=2)
B  = sty("B",  base, fontSize=7,  fontName="Helvetica", leading=10, textColor=colors.black, spaceAfter=1)
C  = sty("C",  base, fontSize=6.8,fontName="Helvetica", leading=9.5, textColor=colors.black)
CB = sty("CB", base, fontSize=6.8,fontName="Helvetica-Bold", leading=9.5, textColor=DARK)
FT = sty("FT", base, fontSize=6,  fontName="Helvetica-Oblique", alignment=TA_CENTER, textColor=GREY)

def hdr(cols):
    return [Paragraph(c, sty("H", base, fontSize=7, fontName="Helvetica-Bold",
                               textColor=WHITE, leading=9.5)) for c in cols]

def row(cells):
    return [Paragraph(str(c), C) for c in cells]

def mktbl(headers, rows_data, widths):
    data = [hdr(headers)] + [row(r) for r in rows_data]
    tbl = Table(data, colWidths=widths, repeatRows=1)
    style_cmds = [
        ("BACKGROUND",    (0,0), (-1,0),  DARK),
        ("GRID",          (0,0), (-1,-1), 0.35, colors.HexColor("#8aafc5")),
        ("VALIGN",        (0,0), (-1,-1), "TOP"),
        ("TOPPADDING",    (0,0), (-1,-1), 2),
        ("BOTTOMPADDING", (0,0), (-1,-1), 2),
        ("LEFTPADDING",   (0,0), (-1,-1), 3),
        ("RIGHTPADDING",  (0,0), (-1,-1), 3),
    ]
    for i in range(1, len(data)):
        style_cmds.append(("BACKGROUND", (0,i), (-1,i), ALT if i%2==0 else WHITE))
    tbl.setStyle(TableStyle(style_cmds))
    return tbl

def sec(n, title):
    return Paragraph(f"{n}. {title}", SH)

W = 18.2*cm   # usable width
H = W/2 - 0.1*cm

story = []

# Title
story.append(Paragraph("COMPARISON OF CHIKITSA CONCEPTS OF SAMHITA WITH CONTEMPORARY MEDICAL SCIENCE", T))
story.append(Paragraph("Jalodar (Jalodara) & Ascites | Charaka Samhita vs Modern Medicine", ST))
story.append(HRFlowable(width="100%", thickness=1.2, color=DARK, spaceAfter=4))

# ── 1 ──
story.append(sec("1", "Charaka Samhita – Disease & Management Principles"))
story.append(Paragraph(
    "<b>Jalodara</b> – one of 8 Udara Roga (Chikitsa Sthana, Ch.13). Fluid (Udaka) accumulation in abdominal cavity. "
    "Classified <b>Asadhya</b> (Charaka) / <b>Mahagada</b> (Sushruta).", B))
story.append(mktbl(
    ["Nidana (Causes)", "Samprapti (Pathogenesis)", "Lakshanas (Symptoms)", "Chikitsa (Treatment)"],
    [["Mandagni (low digestive fire), Ati-ushna-amla-lavana-vidahi diet, Atimadyapana (alcohol), Mala Sanchaya",
      "Mandagni → Mala/Dosha Sanchaya → Strotorodha (Udakvaha/Rasavaha) → Agni/Apana/Prana disturbance → Udaka sanchaya",
      "Udara vriddhi (distension), Shotha (oedema), Kshudhamandya (anorexia), Shwasa (dyspnoea), Pandu (pallor), Daurbalya",
      "Nidana Parivarjana → Agnidipti (Trikatu) → Nityavirechana (Trivrutta) → Gomutra + Kshara → Ksheerabhojana; Shamana: Punarnavadi Kwatha, Arogyavardhini Vati"]],
    [4.5*cm, 4.5*cm, 4.5*cm, 4.7*cm]))

# ── 2 ──
story.append(sec("2", "Correlation with Modern Science"))
story.append(mktbl(
    ["Ayurvedic Term", "Modern Equivalent", "Ayurvedic Term", "Modern Equivalent"],
    [["Jalodara",       "Ascites (>25 mL peritoneal fluid)",
      "Apana Vayu",     "RAAS activation / renal Na retention"],
     ["Mandagni",       "Impaired hepatic metabolism",
      "Nityavirechana", "Diuretic therapy / daily purgation"],
     ["Strotorodha",    "Portal HTN / lymphatic obstruction",
      "Shotha",         "Peripheral oedema"],
     ["Agni",           "Hepatic synthetic function",
      "Gomutra",        "Natural diuretic (urea, K compounds)"],
     ["Prana",          "Effective circulating volume",
      "Ksheerabhojana", "High-protein dietary support"]],
    [3.5*cm, 5.2*cm, 3.5*cm, 5.0*cm]))

# ── 3 ──
story.append(sec("3", "Aetiopathogenesis &amp; Symptomatology Comparison"))
story.append(mktbl(
    ["", "Ayurvedic Perspective (Charaka Samhita)", "Contemporary Medical Science"],
    [["a. Definition",
      "Fluid (Udaka) between Twaka &amp; Mamsa in Udara; one of 8 Udararogas",
      "Peritoneal fluid >25 mL; most common complication of liver cirrhosis"],
     ["b. Aetiology",
      "Mandagni, hot/sour/salty/irritant diet, excess alcohol, Mala Sanchaya, Vata-Kapha dominance",
      "Cirrhosis 75%, alcoholic liver disease, viral hepatitis (HBV/HCV), malignancy, cardiac failure, nephrotic syndrome"],
     ["c. Pathogenesis",
      "Mandagni → Dosha Sanchaya → Strotorodha → disturbed Agni/Apana/Prana → Udaka sanchaya in Udara",
      "Cirrhosis → portal HTN → splanchnic vasodilatation → effective arterial hypovolemia → RAAS/SNS → Na/water retention → peritoneal transudation"],
     ["d. Symptoms",
      "Udara vriddhi, Shotha (pedal oedema), Kshudhamandya, Shwasa, Daurbalya, Pandu",
      "Abdominal distension, pedal oedema, anorexia, dyspnoea, weakness, jaundice, shifting dullness, fluid thrill"],
     ["f. Prognosis",
      "Asadhya; Paratantra type (secondary) has worse outcome",
      "~50% 2-year mortality without transplant; graded by Child-Pugh &amp; MELD scores"]],
    [1.8*cm, 8.2*cm, 8.2*cm]))

# ── 4 ──
story.append(sec("4", "Treatment Modalities"))
story.append(mktbl(
    ["Ayurvedic (Charaka Samhita)", "Contemporary Medical Science"],
    [["Nidana Parivarjana – avoid alcohol, spicy/salty food",
      "Treat underlying cause: alcohol cessation, antivirals for hepatitis B/C"],
     ["Agnidipti: Trikatu Churna, Shivakshar Pachana Churna",
      "High-protein nutrition (1.2–1.5 g/kg/day); correct nutritional deficiencies"],
     ["Nityavirechana (daily purgation): Trivrutta Avaleha",
      "Diuretics: Spironolactone 100–400 mg/day + Furosemide 40–160 mg/day (1st line)"],
     ["Apyadoshaharana: Gomutra + Kshara",
      "Large Volume Paracentesis (LVP) + albumin infusion (6–8 g/L drained)"],
     ["Ksheerabhojana (exclusive milk diet)",
      "Na restriction <2 g/day; fluid restriction if serum Na <120 mEq/L"],
     ["Punarnavadi Kwatha, Arogyavardhini Vati, Punarnava Swarasa",
      "Beta-blockers (propranolol/carvedilol) to reduce portal pressure; hepatoprotectives"],
     ["Erandabhrishta Haritaki (Vatanulomana)",
      "TIPS (Transjugular Intrahepatic Portosystemic Shunt) for refractory ascites"],
     ["Lepa: Hingu-Shunthi on abdomen; Udara patta bandhana",
      "Liver transplantation – definitive cure for end-stage liver disease"]],
    [H, H]))

# ── 5 ──
story.append(sec("5", "Integrative Potential"))
story.append(mktbl(
    ["Ayurvedic Approach", "Modern Parallel / Evidence"],
    [["Nityavirechana – breaks Samprapti via intestinal fluid modulation &amp; hepatic stimulation",
      "Complementary mechanism to RAAS-blocking diuretics; targets gut-liver axis"],
     ["Punarnava (Boerhavia diffusa) – diuretic, anti-inflammatory, hepatoprotective",
      "Punarnavoside: documented diuretic &amp; hepatoprotective in pharmacological studies (PMC6153904)"],
     ["Ksheerabhojana – protein supply, prevents hepatic compromise",
      "High-protein diet prevents sarcopenia; standard of care in cirrhotic ascites"],
     ["Shodhana + Shamana dual approach (purification + pacification)",
      "Mirrors modern: diuretics + paracentesis + nutrition + underlying cause treatment"]],
    [H, H]))

# ── 6 ──
story.append(sec("6", "Strengths &amp; Limitations"))
story.append(mktbl(
    ["", "Ayurvedic View", "Modern View"],
    [["Strengths",
      "Holistic (targets Mandagni); natural, minimal side effects; cost-effective; Ksheerabhojana = nutrition + therapy; comprehensive lifestyle correction",
      "Evidence-based RCTs; quantifiable outcomes (SAAG, MELD); rapid relief (paracentesis); TIPS &amp; transplant for refractory cases; accurate objective diagnosis"],
     ["Limitations",
      "Limited RCT data; long treatment (3–6 months); Charaka termed it Asadhya; Gomutra acceptance barriers; no standardized dosing",
      "Diuretics: electrolyte imbalance, HRS risk; paracentesis invasive; TIPS → encephalopathy; transplant: costly, limited donors; high recurrence"]],
    [1.8*cm, 8.2*cm, 8.2*cm]))

# ── 7 ──
story.append(sec("7", "Other Points"))
story.append(mktbl(
    ["Ayurvedic Perspective", "Contemporary Medical Science"],
    [["8 types of Udara Roga: Vatodara, Pittodara, Kaphodara, Sannipatodara, Pleehodara, Baddhogudodara, Chidrodara, Jalodara",
      "SAAG classification: ≥1.1 g/dL (portal HTN, transudate) vs <1.1 g/dL (malignancy, TB, pancreatitis, exudate)"],
     ["Jalodara types: Svatantra (primary) &amp; Paratantra (secondary – due to Pandu, Kamala)",
      "Grading: Grade 1 (USG only), Grade 2 (moderate distension), Grade 3 (tense) – Int'l Ascites Club"],
     ["Apathya: salt, spicy/fermented food, over-eating, day sleep; Shalyakarma (Udara Vyadhana) by Sushruta for extreme cases",
      "Avoid NSAIDs, aminoglycosides, alcohol; SBP prophylaxis with norfloxacin; USG-guided paracentesis"]],
    [H, H]))

# ── 8 ──
story.append(sec("8", "Conclusion"))
story.append(mktbl(
    ["Ayurvedic Perspective (Charaka Samhita)", "Contemporary Medical Science"],
    [["Jalodara arises from Mandagni, Dosha Sanchaya &amp; Strotorodha. Charaka's protocol (Nityavirechana + Agnidipti + Ksheerabhojana + Punarnava-based Shamana) systematically dismantles Samprapti. Despite Asadhya classification, clinical outcomes show significant improvement in abdominal girth, oedema &amp; LFT with minimal side effects.",
      "Ascites from portal hypertension/cirrhosis needs graded management: Na restriction + diuretics (Grade 1–2) → LVP + albumin (Grade 3) → TIPS/transplant (refractory). Despite effective symptomatic control, 2-year mortality ~50% without transplant. Integrating Ayurvedic hepatoprotectives (Punarnava) warrants formal RCTs."]],
    [H, H]))

# Footer
story.append(Spacer(1, 6))
story.append(HRFlowable(width="100%", thickness=0.6, color=MID, spaceAfter=3))
story.append(Paragraph(
    "References: Charaka Samhita, Chikitsa Sthana Ch.13 | Sleisenger &amp; Fordtran's GI &amp; Liver Disease Ch.93 | "
    "Goldman-Cecil Medicine | PMC6153904 | WJARR-2022-1186", FT))

doc.build(story)
print(f"PDF saved: {OUTPUT}")

python3 /home/daytona/workspace/jalodar-ascites/generate_concise_pdf.py

~/jalodar-ascites/generate_short_pdf.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, HRFlowable
from reportlab.lib.enums import TA_CENTER

OUTPUT = "/home/daytona/workspace/jalodar-ascites/Jalodar_Ascites_Short.pdf"

doc = SimpleDocTemplate(OUTPUT, pagesize=A4,
    leftMargin=1.2*cm, rightMargin=1.2*cm,
    topMargin=1.0*cm, bottomMargin=1.0*cm)

DARK  = colors.HexColor("#1a3c5e")
MID   = colors.HexColor("#2c6e9e")
ALT   = colors.HexColor("#eef6fb")
WHITE = colors.white
GREY  = colors.HexColor("#666666")

base = getSampleStyleSheet()["Normal"]
def sty(n, **kw): return ParagraphStyle(n, parent=base, **kw)

T   = sty("T",  fontSize=11, fontName="Helvetica-Bold", alignment=TA_CENTER, textColor=DARK, spaceAfter=1)
ST  = sty("ST", fontSize=7.5,fontName="Helvetica-Oblique", alignment=TA_CENTER, textColor=MID, spaceAfter=4)
SH  = sty("SH", fontSize=7.5,fontName="Helvetica-Bold", textColor=WHITE, spaceBefore=0, spaceAfter=0)
C   = sty("C",  fontSize=6.5,fontName="Helvetica", leading=9, textColor=colors.black)
CB  = sty("CB", fontSize=6.5,fontName="Helvetica-Bold", leading=9, textColor=DARK)
FT  = sty("FT", fontSize=5.5,fontName="Helvetica-Oblique", alignment=TA_CENTER, textColor=GREY)

W = 17.6*cm
H = W/2 - 0.15*cm

def p(text, style=None): return Paragraph(text, style or C)
def pb(text): return Paragraph(text, CB)

def section_row(title, colspan=2):
    """A full-width dark header row spanning all columns."""
    cell = Paragraph(title, SH)
    return ([cell] + [""] * (colspan - 1),
            [("BACKGROUND", (0,0), (-1,0), DARK),
             ("SPAN", (0,0), (colspan-1, 0)),
             ("TOPPADDING",(0,0),(-1,0),3),("BOTTOMPADDING",(0,0),(-1,0),3),
             ("LEFTPADDING",(0,0),(-1,0),4)])

def mktbl(data, widths, extra_styles=None):
    """Build a table. data = list of lists of Paragraph/str."""
    tbl = Table(data, colWidths=widths, repeatRows=0)
    cmds = [
        ("GRID",         (0,0),(-1,-1), 0.3, colors.HexColor("#9ab8cc")),
        ("VALIGN",       (0,0),(-1,-1), "TOP"),
        ("TOPPADDING",   (0,0),(-1,-1), 2),
        ("BOTTOMPADDING",(0,0),(-1,-1), 2),
        ("LEFTPADDING",  (0,0),(-1,-1), 3),
        ("RIGHTPADDING", (0,0),(-1,-1), 3),
    ]
    if extra_styles:
        cmds += extra_styles
    tbl.setStyle(TableStyle(cmds))
    return tbl

def two_col(left_items, right_items, section_title=""):
    """Generic 2-column table with optional section header spanning full width."""
    rows = []
    extra = []
    if section_title:
        rows.append([Paragraph(section_title, SH), ""])
        extra += [("BACKGROUND",(0,0),(-1,0), DARK),
                  ("SPAN",(0,0),(1,0)),
                  ("TOPPADDING",(0,0),(-1,0),3),
                  ("BOTTOMPADDING",(0,0),(-1,0),3),
                  ("LEFTPADDING",(0,0),(-1,0),4)]
    # header row
    rows.append([pb("Ayurvedic Perspective (Charaka Samhita)"), pb("Contemporary Medical Science")])
    extra += [("BACKGROUND",(0,len(rows)-1),(-1,len(rows)-1), MID),
              ("TEXTCOLOR",(0,len(rows)-1),(-1,len(rows)-1), WHITE)]
    for i, (l, r) in enumerate(zip(left_items, right_items)):
        rows.append([p(l), p(r)])
        if i % 2 == 1:
            extra.append(("BACKGROUND",(0,len(rows)-1),(-1,len(rows)-1), ALT))
    return mktbl(rows, [H, H], extra)

story = []

# ── TITLE
story.append(Paragraph("COMPARISON: CHIKITSA CONCEPTS OF SAMHITA & CONTEMPORARY MEDICAL SCIENCE", T))
story.append(Paragraph("Topic: Jalodar (Jalodara) = Ascites", ST))
story.append(HRFlowable(width="100%", thickness=1.2, color=DARK, spaceAfter=3))

# ── BIG MASTER TABLE (sections 1–8 as rows in one continuous table)
# Build all data in one go for density

all_rows = []
ex = []  # extra style commands

def hdr2(t):
    """Full-width dark section header."""
    all_rows.append([Paragraph(t, SH), ""])
    ex.append(("BACKGROUND",(0,len(all_rows)-1),(-1,len(all_rows)-1), DARK))
    ex.append(("SPAN",(0,len(all_rows)-1),(1,len(all_rows)-1)))
    ex.append(("TOPPADDING",(0,len(all_rows)-1),(-1,len(all_rows)-1),2))
    ex.append(("BOTTOMPADDING",(0,len(all_rows)-1),(-1,len(all_rows)-1),2))
    ex.append(("LEFTPADDING",(0,len(all_rows)-1),(-1,len(all_rows)-1),4))

def col_hdr():
    all_rows.append([pb("Ayurvedic Perspective (Charaka Samhita)"), pb("Contemporary Medical Science")])
    ex.append(("BACKGROUND",(0,len(all_rows)-1),(-1,len(all_rows)-1), MID))
    ex.append(("TEXTCOLOR",(0,len(all_rows)-1),(-1,len(all_rows)-1), WHITE))

def add(l, r, alt=False):
    all_rows.append([p(l), p(r)])
    if alt:
        ex.append(("BACKGROUND",(0,len(all_rows)-1),(-1,len(all_rows)-1), ALT))

# ── 1. Charaka Samhita Overview
hdr2("1. Charaka Samhita – Disease Overview (Chikitsa Sthana, Ch.13)")
all_rows.append([
    p("<b>Jalodara</b>: accumulation of fluid (Udaka) in Udara; one of 8 Udara Roga. "
      "Classified <b>Asadhya</b> (Charaka) / <b>Mahagada</b> (Sushruta). "
      "<b>Nidana:</b> Mandagni, hot/sour/salty diet, alcohol, Mala Sanchaya. "
      "<b>Samprapti:</b> Mandagni → Dosha Sanchaya → Strotorodha → Udaka sanchaya in Udara. "
      "<b>Lakshanas:</b> Udara vriddhi, Shotha, Kshudhamandya, Shwasa, Pandu, Daurbalya."),
    p("<b>Chikitsa Sutra:</b> Nidana Parivarjana → Agnidipti (Trikatu Churna) → "
      "Nityavirechana (Trivrutta Avaleha) → Apyadoshaharana (Gomutra + Kshara) → "
      "Ksheerabhojana (milk diet). "
      "<b>Shamana:</b> Punarnavadi Kwatha, Arogyavardhini Vati, Punarnavadi Mandura, "
      "Erandabhrishta Haritaki, Punarnava Swarasa.")
])

# ── 2. Correlation
hdr2("2. Correlation with Modern Science")
all_rows.append([
    p("<b>Jalodara</b> = Ascites (peritoneal fluid >25 mL) | "
      "<b>Mandagni</b> = Impaired hepatic metabolism | "
      "<b>Strotorodha</b> = Portal hypertension / lymphatic obstruction | "
      "<b>Apana Vayu</b> = RAAS activation &amp; renal Na retention"),
    p("<b>Agni</b> = Hepatic synthetic function | "
      "<b>Prana</b> = Effective circulating volume | "
      "<b>Shotha</b> = Peripheral oedema | "
      "<b>Gomutra</b> = Natural diuretic (urea, K salts) | "
      "<b>Ksheerabhojana</b> = High-protein dietary support")
])

# ── 3. Aetiopathogenesis
hdr2("3. Aetiopathogenesis &amp; Symptomatology")
col_hdr()
add("<b>Def:</b> Fluid (Udaka) between Twaka &amp; Mamsa in Udara; one of 8 Udararogas",
    "<b>Def:</b> Peritoneal fluid >25 mL; most common complication of hepatic cirrhosis")
add("<b>Aetiology:</b> Mandagni, hot/sour/salty/irritant diet, excess alcohol, Mala Sanchaya, Vata-Kapha",
    "<b>Aetiology:</b> Cirrhosis 75%, alcoholic liver disease, viral hepatitis (HBV/HCV), malignancy, cardiac failure, nephrotic syndrome", True)
add("<b>Pathogenesis:</b> Mandagni → Dosha Sanchaya → Strotorodha → Agni/Apana/Prana disturbance → Udaka sanchaya",
    "<b>Pathogenesis:</b> Cirrhosis → portal HTN → splanchnic vasodilatation → RAAS/SNS activation → Na/water retention → peritoneal transudation")
add("<b>Symptoms:</b> Udara vriddhi, Shotha, Kshudhamandya, Shwasa, Daurbalya, Pandu",
    "<b>Symptoms:</b> Abdominal distension, pedal oedema, anorexia, dyspnoea, jaundice, shifting dullness, fluid thrill", True)
add("<b>Prognosis:</b> Asadhya (Charaka); Paratantra type = worse",
    "<b>Prognosis:</b> ~50% 2-yr mortality without transplant; Child-Pugh &amp; MELD scoring")

# ── 4. Treatment
hdr2("4. Treatment Modalities")
col_hdr()
add("Nidana Parivarjana – avoid alcohol, spicy/salty food",
    "Treat underlying cause: alcohol cessation, antivirals (HBV/HCV)")
add("Agnidipti: Trikatu Churna, Shivakshar Pachana Churna",
    "High-protein nutrition (1.2–1.5 g/kg/day); correct nutritional deficiencies", True)
add("Nityavirechana: Trivrutta Avaleha (daily purgation)",
    "Diuretics: Spironolactone 100–400 mg + Furosemide 40–160 mg/day (1st line)")
add("Apyadoshaharana: Gomutra + Kshara (fluid removal)",
    "Large Volume Paracentesis (LVP) + albumin 6–8 g/L drained", True)
add("Ksheerabhojana + Na/fluid restricted diet",
    "Na restriction <2 g/day; fluid restrict only if Na <120 mEq/L")
add("Punarnavadi Kwatha, Arogyavardhini Vati, Punarnava",
    "Beta-blockers (portal pressure); TIPS for refractory ascites; Liver transplant", True)

# ── 5. Integrative Potential
hdr2("5. Integrative Potential")
col_hdr()
add("Nityavirechana targets gut-liver axis; breaks Samprapti via intestinal fluid modulation",
    "Complementary to RAAS-blocking diuretics; different but synergistic mechanism")
add("Punarnava (Boerhavia diffusa): diuretic, anti-inflammatory, hepatoprotective",
    "Punarnavoside: documented diuretic &amp; hepatoprotective in pharmacological studies (PMC6153904)", True)
add("Ksheerabhojana: protein supply prevents hepatic compromise &amp; sarcopenia",
    "High-protein nutrition standard of care in cirrhotic ascites management")

# ── 6. Strengths & Limitations
hdr2("6. Strengths &amp; Limitations")
col_hdr()
add("<b>Strengths:</b> Holistic (targets Mandagni); natural; minimal side-effects; cost-effective; Ksheerabhojana = nutrition + therapy; comprehensive lifestyle",
    "<b>Strengths:</b> Evidence-based RCTs; quantifiable outcomes (SAAG, MELD); rapid relief (paracentesis); TIPS &amp; transplant for refractory cases")
add("<b>Limitations:</b> Limited RCTs; long treatment 3–6 months; Charaka termed Asadhya; Gomutra: cultural barriers; no standardized dosing",
    "<b>Limitations:</b> Diuretics: electrolyte imbalance, HRS risk; TIPS → encephalopathy; transplant: costly, limited donors; high symptom recurrence", True)

# ── 7. Other Points
hdr2("7. Other Points")
col_hdr()
add("8 types Udara Roga: Vatodara, Pittodara, Kaphodara, Sannipatodara, Pleehodara, Baddhogudodara, Chidrodara, <b>Jalodara</b>",
    "SAAG: ≥1.1 g/dL = portal HTN (transudate); <1.1 g/dL = malignancy/TB/pancreatitis (exudate)")
add("Types: Svatantra (primary) &amp; Paratantra (secondary – Pandu, Kamala); Shalyakarma (Udara Vyadhana) by Sushruta",
    "Grading: Grade 1 (USG only) → Grade 2 (distension) → Grade 3 (tense); SBP prophylaxis: norfloxacin", True)

# ── 8. Conclusion
hdr2("8. Conclusion")
col_hdr()
add("Jalodara management in Charaka Samhita is based on breaking Samprapti through Nityavirechana, Agnidipti &amp; Ksheerabhojana. Despite Asadhya classification, clinical studies show significant improvement in abdominal girth, oedema &amp; LFT with minimal side-effects.",
    "Ascites needs graded management: diuretics (Grade 1–2) → LVP + albumin (Grade 3) → TIPS/transplant (refractory). 2-year mortality ~50% without transplant. Punarnava integration shows promise; formal RCTs warranted.")

# Build master table
tbl = Table(all_rows, colWidths=[H, H])
ex += [
    ("GRID",         (0,0),(-1,-1), 0.3, colors.HexColor("#9ab8cc")),
    ("VALIGN",       (0,0),(-1,-1), "TOP"),
    ("TOPPADDING",   (0,0),(-1,-1), 2),
    ("BOTTOMPADDING",(0,0),(-1,-1), 2),
    ("LEFTPADDING",  (0,0),(-1,-1), 3),
    ("RIGHTPADDING", (0,0),(-1,-1), 3),
]
tbl.setStyle(TableStyle(ex))
story.append(tbl)

# Footer
story.append(Spacer(1, 4))
story.append(HRFlowable(width="100%", thickness=0.5, color=MID, spaceAfter=2))
story.append(Paragraph(
    "Ref: Charaka Samhita Chikitsa Sthana Ch.13 | Sleisenger &amp; Fordtran's GI Disease Ch.93 | "
    "Goldman-Cecil Medicine | PMC6153904", FT))

doc.build(story)
print(f"PDF saved: {OUTPUT}")

python3 /home/daytona/workspace/jalodar-ascites/generate_short_pdf.py