Give a pdf on jaundice topic in pathology
Reading File
Finding Sources
Finding Sources
Reading File
Reading File
Finding Sources
Reading File
Reading File
Reading File
Reading File
Reading File
Running Command
mkdir -p /home/daytona/workspace/jaundice-pathology && ls /home/daytona/workspace/jaundice-pathology/
Writing File
~/jaundice-pathology/generate_pdf.py
from reportlab.lib.pagesizes import A4
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import cm, mm
from reportlab.lib.colors import HexColor, black, white
from reportlab.platypus import (
SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
HRFlowable, PageBreak, KeepTogether
)
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
from reportlab.pdfgen import canvas
from reportlab.lib import colors
OUTPUT = "/home/daytona/workspace/jaundice-pathology/Jaundice_Pathology.pdf"
# ── Color palette ──────────────────────────────────────────────────────────────
DEEP_BLUE = HexColor("#1A3A5C")
MID_BLUE = HexColor("#2D6A9F")
LIGHT_BLUE = HexColor("#D6E8F7")
ACCENT_GOLD = HexColor("#E8A020")
TABLE_HEAD = HexColor("#1A3A5C")
TABLE_ALT = HexColor("#EBF4FC")
SECTION_BG = HexColor("#F0F7FF")
RED_ACCENT = HexColor("#C0392B")
GREEN_ACCENT= HexColor("#1E8449")
# ── Page numbering canvas ──────────────────────────────────────────────────────
def on_page(canvas_obj, doc):
canvas_obj.saveState()
# Header bar
canvas_obj.setFillColor(DEEP_BLUE)
canvas_obj.rect(0, A4[1] - 1.2*cm, A4[0], 1.2*cm, fill=1, stroke=0)
canvas_obj.setFillColor(white)
canvas_obj.setFont("Helvetica-Bold", 9)
canvas_obj.drawString(1.5*cm, A4[1] - 0.82*cm, "JAUNDICE — PATHOLOGY")
canvas_obj.setFont("Helvetica", 8)
canvas_obj.drawRightString(A4[0] - 1.5*cm, A4[1] - 0.82*cm,
"Robbins & Kumar | Harrison's | Pathophysiology")
# Footer bar
canvas_obj.setFillColor(DEEP_BLUE)
canvas_obj.rect(0, 0, A4[0], 1.0*cm, fill=1, stroke=0)
canvas_obj.setFillColor(white)
canvas_obj.setFont("Helvetica", 8)
canvas_obj.drawCentredString(A4[0]/2, 0.35*cm,
f"Page {doc.page}")
canvas_obj.restoreState()
# ── Styles ─────────────────────────────────────────────────────────────────────
styles = getSampleStyleSheet()
title_style = ParagraphStyle("TitleStyle",
fontName="Helvetica-Bold", fontSize=28, textColor=white,
alignment=TA_CENTER, spaceAfter=0, spaceBefore=0)
subtitle_style = ParagraphStyle("SubtitleStyle",
fontName="Helvetica", fontSize=13, textColor=HexColor("#D6E8F7"),
alignment=TA_CENTER, spaceAfter=0, spaceBefore=4)
h1 = ParagraphStyle("H1", fontName="Helvetica-Bold", fontSize=15,
textColor=white, backColor=DEEP_BLUE, spaceBefore=14, spaceAfter=6,
leftIndent=-12, rightIndent=-12, borderPadding=(6, 12, 6, 12),
leading=20)
h2 = ParagraphStyle("H2", fontName="Helvetica-Bold", fontSize=12,
textColor=DEEP_BLUE, spaceBefore=10, spaceAfter=4,
borderPadding=(0,0,2,0), leading=16)
h3 = ParagraphStyle("H3", fontName="Helvetica-BoldOblique", fontSize=11,
textColor=MID_BLUE, spaceBefore=8, spaceAfter=3, leading=14)
body = ParagraphStyle("Body", fontName="Helvetica", fontSize=10,
leading=15, spaceAfter=5, alignment=TA_JUSTIFY, textColor=HexColor("#1C1C1C"))
bullet = ParagraphStyle("Bullet", fontName="Helvetica", fontSize=10,
leading=14, spaceAfter=3, leftIndent=18, bulletIndent=6,
alignment=TA_LEFT, textColor=HexColor("#1C1C1C"))
highlight_box = ParagraphStyle("HighlightBox", fontName="Helvetica", fontSize=10,
leading=14, spaceAfter=4, leftIndent=10, rightIndent=10,
backColor=SECTION_BG, borderPadding=(8,8,8,8),
alignment=TA_JUSTIFY, textColor=HexColor("#1C1C1C"))
key_point = ParagraphStyle("KeyPoint", fontName="Helvetica-Bold", fontSize=10,
leading=14, spaceAfter=4, leftIndent=10, rightIndent=10,
backColor=HexColor("#FFF3E0"), borderPadding=(8,8,8,8),
textColor=HexColor("#7D3C00"))
caption = ParagraphStyle("Caption", fontName="Helvetica-Oblique", fontSize=8.5,
textColor=HexColor("#555555"), alignment=TA_CENTER, spaceAfter=6)
# ── Helper: section header flowable ───────────────────────────────────────────
def sec(text):
return [Spacer(1, 0.3*cm),
Paragraph(f" {text}", h1),
Spacer(1, 0.15*cm)]
def subsec(text):
return [Spacer(1, 0.15*cm),
Paragraph(text, h2),
HRFlowable(width="100%", thickness=1, color=MID_BLUE, spaceAfter=4)]
def subsubsec(text):
return [Paragraph(text, h3)]
def para(text):
return Paragraph(text, body)
def bul(text):
return Paragraph(f"• {text}", bullet)
def highlight(text):
return Paragraph(text, highlight_box)
def keypoint(text):
return Paragraph(f"KEY POINT: {text}", key_point)
def spacer(h=0.2):
return Spacer(1, h*cm)
# ══════════════════════════════════════════════════════════════════════════════
# BUILD DOCUMENT
# ══════════════════════════════════════════════════════════════════════════════
story = []
# ── COVER PAGE ─────────────────────────────────────────────────────────────────
cover_data = [[Paragraph("JAUNDICE", title_style)],
[Paragraph("Pathophysiology, Classification, Diagnosis & Management", subtitle_style)],
[Spacer(1, 0.3*cm)],
[Paragraph("Based on Robbins & Kumar Basic Pathology | Harrison's Principles of Internal Medicine 22E",
ParagraphStyle("src", fontName="Helvetica", fontSize=9,
textColor=HexColor("#AED6F1"), alignment=TA_CENTER))]]
cover_table = Table(cover_data, colWidths=[17*cm])
cover_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,-1), DEEP_BLUE),
("ALIGN", (0,0), (-1,-1), "CENTER"),
("TOPPADDING", (0,0), (-1,-1), 14),
("BOTTOMPADDING", (0,0), (-1,-1), 14),
("LEFTPADDING", (0,0), (-1,-1), 20),
("RIGHTPADDING", (0,0), (-1,-1), 20),
("ROUNDEDCORNERS", [8]),
]))
story.append(Spacer(1, 3*cm))
story.append(cover_table)
story.append(Spacer(1, 1.0*cm))
# Gold accent band
accent_table = Table([[""]], colWidths=[17*cm], rowHeights=[0.5*cm])
accent_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,-1), ACCENT_GOLD),
("ROUNDEDCORNERS", [4]),
]))
story.append(accent_table)
story.append(Spacer(1, 0.5*cm))
# Quick stat boxes
stat_data = [
[Paragraph("<b>Normal Bilirubin</b><br/>0.3 – 1.2 mg/dL", ParagraphStyle("s", fontName="Helvetica", fontSize=10, alignment=TA_CENTER, textColor=DEEP_BLUE)),
Paragraph("<b>Jaundice Visible at</b><br/>> 2 – 2.5 mg/dL", ParagraphStyle("s", fontName="Helvetica", fontSize=10, alignment=TA_CENTER, textColor=DEEP_BLUE)),
Paragraph("<b>Severe Disease</b><br/>Up to 30 – 40 mg/dL", ParagraphStyle("s", fontName="Helvetica", fontSize=10, alignment=TA_CENTER, textColor=DEEP_BLUE)),
Paragraph("<b>Neonatal Jaundice</b><br/>Matures ~2 weeks", ParagraphStyle("s", fontName="Helvetica", fontSize=10, alignment=TA_CENTER, textColor=DEEP_BLUE))]
]
stat_table = Table(stat_data, colWidths=[4.1*cm]*4)
stat_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,-1), LIGHT_BLUE),
("BOX", (0,0), (-1,-1), 1, MID_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.5, MID_BLUE),
("TOPPADDING", (0,0), (-1,-1), 10),
("BOTTOMPADDING", (0,0), (-1,-1), 10),
("LEFTPADDING", (0,0), (-1,-1), 8),
("RIGHTPADDING", (0,0), (-1,-1), 8),
("ROUNDEDCORNERS", [4]),
]))
story.append(stat_table)
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 1 – DEFINITION & OVERVIEW
# ══════════════════════════════════════════════════════════════════════════════
story += sec("1. DEFINITION AND OVERVIEW")
story.append(para(
"Jaundice (icterus) is the yellow discoloration of skin, sclerae, and mucous membranes "
"caused by accumulation of bilirubin in tissues. It becomes clinically apparent when "
"serum bilirubin exceeds <b>2–2.5 mg/dL</b>. Levels as high as <b>30–40 mg/dL</b> can occur in "
"severe hepatobiliary disease. Jaundice is not a disease itself but a sign of an underlying "
"disorder affecting bilirubin production, transport, conjugation, or excretion."
))
story.append(keypoint(
"Jaundice is visible when serum bilirubin > 2–2.5 mg/dL. Sclerae are the most sensitive "
"site because of the high elastin content that binds bilirubin avidly."
))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 2 – BILIRUBIN METABOLISM
# ══════════════════════════════════════════════════════════════════════════════
story += sec("2. BILIRUBIN METABOLISM")
story.append(para(
"Understanding bilirubin metabolism is fundamental to classifying jaundice pathologically."
))
story += subsec("2.1 Production")
story.append(para(
"Bilirubin is the end product of heme catabolism. Approximately <b>80–85%</b> is derived from "
"hemoglobin released during destruction of senescent red blood cells in the reticuloendothelial "
"system (spleen, liver, bone marrow). The remaining 15–20% comes from myoglobin, cytochromes, "
"and ineffective erythropoiesis."
))
story.append(para(
"The enzyme <b>heme oxygenase</b> oxidatively cleaves the alpha-methene bridge of the porphyrin "
"ring, producing <b>biliverdin</b>, carbon monoxide, and free iron. Biliverdin reductase then "
"reduces biliverdin to <b>bilirubin</b> (unconjugated / indirect bilirubin)."
))
story += subsec("2.2 Transport in Blood")
story.append(para(
"Unconjugated bilirubin is <b>virtually insoluble in water</b> due to tight internal hydrogen "
"bonding between its propionic acid carboxyl groups and the imino/lactam groups of the opposite "
"dipyrrolic half. To circulate in blood it binds <b>non-covalently to albumin</b>. Because it is "
"albumin-bound and insoluble, unconjugated bilirubin:"
))
story.append(bul("Cannot be filtered by the renal glomerulus"))
story.append(bul("Does NOT appear in urine (acholuria)"))
story.append(bul("Is not excreted in bile in its unconjugated form"))
story.append(spacer(0.15))
story += subsec("2.3 Hepatic Uptake and Conjugation")
story.append(para(
"At the hepatocyte sinusoidal membrane, unconjugated bilirubin dissociates from albumin "
"and is taken up via <b>carrier-mediated transport</b> (specific transporter not fully "
"characterized). Inside the hepatocyte, it binds cytosolic proteins (glutathione-S-transferases / "
"ligandin), which reduce back-diffusion into blood."
))
story.append(para(
"In the smooth endoplasmic reticulum, <b>bilirubin UDP-glucuronosyltransferase (UDPGT)</b> "
"conjugates bilirubin to glucuronic acid, yielding bilirubin <b>monoglucuronide</b> and "
"<b>diglucuronide</b> (conjugated / direct bilirubin). Conjugation disrupts the internal "
"hydrogen bonds, making bilirubin water-soluble and non-toxic."
))
story += subsec("2.4 Biliary Excretion")
story.append(para(
"Conjugated bilirubin is actively transported across the canalicular membrane into bile by "
"<b>MRP2 (multidrug resistance-associated protein 2)</b>. A small fraction is transported "
"into sinusoids by MRP3 and recaptured by OATP1B1/1B3 transporters (enterohepatic recycling "
"of conjugated bilirubin)."
))
story += subsec("2.5 Intestinal Processing and Urobilinogen")
story.append(para(
"Conjugated bilirubin is <b>not reabsorbed in the proximal bowel</b> due to its hydrophilicity. "
"In the distal ileum and colon, bacterial beta-glucuronidases hydrolyze it back to unconjugated "
"bilirubin, which is then reduced to a group of colorless compounds called <b>urobilinogens</b>. "
"About 80–90% of these are excreted in feces (oxidized to orange <b>urobilins</b>, which give "
"stool its color). The remaining 10–20% undergoes enterohepatic cycling:"
))
story.append(bul("Re-absorbed from colon, circulated to liver, re-excreted in bile"))
story.append(bul("A small fraction (<3 mg/dL) escapes hepatic re-uptake and is excreted in urine"))
story.append(spacer(0.2))
# Metabolism summary table
story.append(Spacer(1, 0.15*cm))
met_data = [
["Step", "Process", "Key Enzyme/Protein", "Location"],
["1", "Heme → Biliverdin", "Heme oxygenase", "RES (spleen/liver/marrow)"],
["2", "Biliverdin → Unconjugated Bilirubin", "Biliverdin reductase", "RES"],
["3", "Blood transport", "Albumin (non-covalent)", "Plasma"],
["4", "Hepatocyte uptake", "Carrier-mediated transport", "Hepatocyte sinusoidal membrane"],
["5", "Cytosolic binding", "Ligandin / GST", "Hepatocyte cytoplasm"],
["6", "Conjugation → Bilirubin glucuronide", "UDPGT", "Smooth ER"],
["7", "Biliary excretion", "MRP2", "Canalicular membrane"],
["8", "Gut reduction → Urobilinogen", "Bacterial beta-glucuronidase", "Colon"],
]
met_table = Table(met_data, colWidths=[1.0*cm, 5.0*cm, 5.5*cm, 5.5*cm])
met_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, MID_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("ALIGN", (0,0), (-1,-1), "LEFT"),
("VALIGN", (0,0), (-1,-1), "MIDDLE"),
]))
story.append(met_table)
story.append(Paragraph("Table 1: Steps in normal bilirubin metabolism", caption))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 3 – CLASSIFICATION
# ══════════════════════════════════════════════════════════════════════════════
story += sec("3. CLASSIFICATION OF JAUNDICE")
story.append(para(
"Jaundice is classified anatomically into three types based on the site of the defect in "
"bilirubin metabolism. This classification guides diagnosis and management."
))
# Classification overview table
story.append(Spacer(1, 0.2*cm))
class_data = [
["Feature", "Pre-hepatic\n(Hemolytic)", "Hepatic\n(Hepatocellular)", "Post-hepatic\n(Obstructive/Cholestatic)"],
["Primary defect", "Excessive bilirubin production", "Defective uptake, conjugation, or excretion", "Bile duct obstruction"],
["Bilirubin type", "Unconjugated ↑↑", "Both types (↑ conjugated predominates in severe disease)", "Conjugated ↑↑"],
["Urine bilirubin", "Absent (acholuria)", "Present (bilirubinuria)", "Present (dark urine)"],
["Urine urobilinogen", "Increased", "Variable (↑ early; ↓ late in severe disease)", "Absent or very low"],
["Stool color", "Normal or dark", "Pale/light", "Pale/clay-colored"],
["Liver enzymes", "Normal", "AST/ALT markedly ↑", "ALP/GGT markedly ↑"],
["Bilirubin in urine", "No", "Yes (conjugated)", "Yes (conjugated)"],
["Pruritus", "Absent", "Variable", "Prominent (bile salts)"],
["Examples", "Hemolytic anemia, G6PD deficiency, spherocytosis, ineffective erythropoiesis", "Hepatitis, cirrhosis, drug-induced hepatitis, Gilbert, Crigler-Najjar, Dubin-Johnson", "Gallstones, pancreatic head cancer, cholangiocarcinoma, biliary stricture, PSC"],
]
class_table = Table(class_data, colWidths=[3.5*cm, 4.5*cm, 4.5*cm, 4.5*cm])
class_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, DEEP_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(class_table)
story.append(Paragraph("Table 2: Comparison of the three types of jaundice", caption))
story.append(Spacer(1, 0.3*cm))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 4 – PRE-HEPATIC JAUNDICE
# ══════════════════════════════════════════════════════════════════════════════
story += sec("4. PRE-HEPATIC JAUNDICE (HEMOLYTIC)")
story.append(para(
"Pre-hepatic jaundice results from excessive production of bilirubin that overwhelms the "
"liver's conjugating capacity, or from impaired hepatic uptake/conjugation."
))
story += subsec("4.1 Pathophysiology")
story.append(para(
"In hemolytic disease, accelerated RBC destruction releases large amounts of heme, which is "
"catabolized to unconjugated bilirubin. Although the liver upregulates UDPGT, the conjugating "
"capacity is exceeded, leading to unconjugated hyperbilirubinemia. The excess unconjugated "
"bilirubin drives more urobilinogen production in the gut, resulting in increased urinary and "
"fecal urobilinogen."
))
story.append(keypoint(
"In pre-hepatic jaundice the bilirubin CANNOT be excreted in urine (it is unconjugated and "
"albumin-bound) — hence 'acholuric jaundice' despite elevated serum bilirubin."
))
story += subsec("4.2 Causes")
causes_pre = [
["Category", "Examples"],
["Inherited hemolytic", "Hereditary spherocytosis, G6PD deficiency, sickle cell disease, thalassemia, pyruvate kinase deficiency"],
["Acquired hemolytic", "Autoimmune hemolytic anemia (warm/cold), microangiopathic HA (TTP, HUS, DIC), malaria, paroxysmal nocturnal hemoglobinuria"],
["Ineffective erythropoiesis", "Iron deficiency, megaloblastic anemia, lead poisoning, thalassemia major"],
["Neonatal", "Physiologic jaundice, hemolytic disease of newborn (Rh/ABO incompatibility), G6PD deficiency"],
["Hereditary disorders of conjugation", "Gilbert syndrome (mild ↓ UDPGT), Crigler-Najjar type I (absent UDPGT — fatal), Crigler-Najjar type II (severely ↓ UDPGT)"],
]
causes_pre_table = Table(causes_pre, colWidths=[5*cm, 12*cm])
causes_pre_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), MID_BLUE),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, MID_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(causes_pre_table)
story.append(Paragraph("Table 3: Causes of pre-hepatic jaundice", caption))
story += subsec("4.3 Hereditary Hyperbilirubinemias (Detailed)")
# Gilbert syndrome
story += subsubsec("Gilbert Syndrome")
story.append(para(
"Common autosomal recessive condition affecting <b>4–16%</b> of various populations. Caused by a "
"mutation in the promoter of the <b>UGT1A1</b> gene, leading to mildly decreased glucuronosyltransferase "
"expression and mildly decreased hepatic conjugation. Manifests as fluctuating mild unconjugated "
"hyperbilirubinemia, often precipitated by fasting, stress, or illness. <b>Benign — no morbidity.</b>"
))
story += subsubsec("Crigler-Najjar Syndrome")
story.append(para(
"Caused by other mutations in <b>UGT1A1</b> that result in severe UDPGT deficiency. <b>Type I</b>: "
"complete absence of enzyme — <b>fatal in infancy</b> without liver transplantation (phototherapy "
"temporarily maintains safe bilirubin levels). <b>Type II (Arias syndrome)</b>: severely reduced "
"but not absent UDPGT — less severe, responds to phenobarbital."
))
story += subsubsec("Dubin-Johnson Syndrome")
story.append(para(
"Autosomal recessive disorder caused by defect in the <b>MRP2 canalicular transporter</b>, "
"impairing hepatocellular excretion of conjugated bilirubin. Results in conjugated "
"hyperbilirubinemia. Distinctive gross pathology: <b>dark-pigmented liver</b> (polymerized "
"epinephrine metabolites, not bilirubin). <b>Clinically benign</b>."
))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 5 – HEPATIC JAUNDICE
# ══════════════════════════════════════════════════════════════════════════════
story += sec("5. HEPATIC (HEPATOCELLULAR) JAUNDICE")
story.append(para(
"Hepatocellular jaundice results from diffuse damage to hepatocytes, impairing their capacity "
"to take up, conjugate, and/or excrete bilirubin. Both conjugated and unconjugated bilirubin "
"may accumulate depending on the nature and severity of the injury."
))
story += subsec("5.1 Pathophysiology")
story.append(para(
"Widespread hepatocyte necrosis or dysfunction disrupts one or more steps in bilirubin "
"metabolism. Damaged hepatocytes may regurgitate conjugated bilirubin back into sinusoidal "
"blood, causing conjugated hyperbilirubinemia and bilirubinuria. Impaired conjugation causes "
"unconjugated accumulation. Canalicular damage and intrahepatic cholestasis may coexist. "
"Both AST/ALT (hepatocyte damage) and ALP/GGT (cholestatic component) may be elevated."
))
story += subsec("5.2 Causes")
hep_causes = [
["Category", "Examples"],
["Viral hepatitis", "Hepatitis A, B, C, D, E; EBV hepatitis; CMV hepatitis"],
["Drug-induced liver injury (DILI)", "Predictable (dose-dependent): acetaminophen, methotrexate\nIdiosyncratic: isoniazid, halothane, statins, many others"],
["Toxic", "Amanita phalloides mushrooms, vinyl chloride, CCl4, kava"],
["Alcoholic liver disease", "Steatohepatitis → fibrosis → cirrhosis"],
["Autoimmune hepatitis", "Anti-smooth muscle Ab, ANA positive; elevated IgG"],
["Metabolic/hereditary", "Wilson's disease (↑ copper), hemochromatosis (↑ iron), alpha-1-antitrypsin deficiency"],
["Cirrhosis (end-stage)", "Any cause; impaired overall hepatocyte function"],
["Ischemic hepatitis", "Shock, cardiac failure, Budd-Chiari syndrome"],
]
hep_table = Table(hep_causes, colWidths=[5*cm, 12*cm])
hep_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), MID_BLUE),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, MID_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(hep_table)
story.append(Paragraph("Table 4: Causes of hepatocellular jaundice", caption))
story.append(Spacer(1, 0.2*cm))
story += subsec("5.3 Morphology of Hepatocellular Injury")
story.append(para(
"The morphologic features vary with the causative agent but common patterns include:"
))
story.append(bul("<b>Ballooning degeneration:</b> hepatocyte swelling due to inability to maintain ion pumps; "
"cytoplasm becomes pale and rarefied"))
story.append(bul("<b>Apoptosis (acidophil bodies / Councilman bodies):</b> shrunken, eosinophilic hepatocytes "
"with condensed nuclei, seen especially in viral hepatitis"))
story.append(bul("<b>Steatosis (fatty change):</b> large or small lipid vacuoles; prominent in alcoholic "
"and metabolic liver disease"))
story.append(bul("<b>Mallory-Denk bodies:</b> eosinophilic intracytoplasmic inclusions of aggregated "
"intermediate filaments (cytokeratin 8/18); classic for alcoholic hepatitis but also in NAFLD, "
"Wilson's, primary biliary cirrhosis"))
story.append(bul("<b>Necrosis patterns:</b> spotty lobular necrosis (viral), centrilobular (zone 3) "
"necrosis (ischemia/drug toxicity), bridging necrosis (severe hepatitis), massive necrosis "
"(fulminant hepatic failure)"))
story.append(bul("<b>Lobular disarray:</b> loss of normal hepatic plate architecture due to diffuse "
"hepatocyte dropout and regeneration"))
story.append(Spacer(1, 0.3*cm))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 6 – POST-HEPATIC JAUNDICE / CHOLESTASIS
# ══════════════════════════════════════════════════════════════════════════════
story += sec("6. POST-HEPATIC JAUNDICE (CHOLESTASIS / OBSTRUCTIVE)")
story.append(PageBreak())
story.append(para(
"Post-hepatic jaundice is caused by obstruction of bile flow at any level from the intrahepatic "
"bile canaliculi to the ampulla of Vater. The hallmark is <b>conjugated hyperbilirubinemia</b> "
"with elevated alkaline phosphatase (ALP) and gamma-glutamyl transpeptidase (GGT), "
"because these enzymes are located on the apical (canalicular) membrane of hepatocytes and "
"cholangiocytes."
))
story += subsec("6.1 Pathophysiology of Cholestasis")
story.append(highlight(
"Cholestasis is defined as impaired bile flow, resulting in accumulation of bile constituents "
"(bilirubin, bile salts, cholesterol) in blood and tissues. It may be extrahepatic "
"(obstruction of major bile ducts) or intrahepatic (impairment of hepatocyte bile secretion "
"or small duct disease). The distinction is clinically critical because extrahepatic obstruction "
"is often surgically correctable, while intrahepatic cholestasis is not improved by surgery."
))
story.append(para(
"Elevated serum bile salts are responsible for the characteristic <b>pruritus</b> of cholestasis. "
"Malabsorption of fat-soluble vitamins (A, D, E, K) results from reduced bile entering the gut. "
"Vitamin K deficiency leads to a coagulopathy that is reversible with parenteral vitamin K "
"(distinguishing it from the coagulopathy of hepatocellular failure, which is not)."
))
story += subsec("6.2 Morphology of Cholestasis (Robbins Pathology)")
story.append(para(
"The morphologic features of cholestasis depend on severity, duration, and cause. "
"Characteristic findings include:"
))
story.append(bul("<b>Bile pigment accumulation:</b> elongated green-brown plugs of bile in dilated "
"bile canaliculi — the most characteristic finding"))
story.append(bul("<b>Feathery degeneration of hepatocytes:</b> a fine, foamy cytoplasmic appearance "
"as bile accumulates within hepatocytes"))
story.append(bul("<b>Kupffer cell bile pigment:</b> rupture of canaliculi leads to extravasation of "
"bile, which is rapidly phagocytosed by Kupffer cells"))
story.append(bul("<b>Apoptotic hepatocytes:</b> occasional acidophilic bodies may be seen"))
story.append(bul("<b>Ductular reaction:</b> proliferation of reactive bile ductules at the "
"portal-parenchymal interface in chronic or extrahepatic obstruction"))
story.append(bul("<b>Stromal edema and neutrophils:</b> hallmark of superimposed ascending cholangitis"))
story.append(Spacer(1, 0.15*cm))
story.append(para(
"If obstruction is prolonged and uncorrected, periportal fibrosis develops, eventually producing "
"<b>secondary (obstructive) biliary cirrhosis</b>. Periportal hepatocytes show extensive feathery "
"degeneration, often with Mallory hyaline bodies, and bile infarcts form from the detergent "
"effects of extravasated bile."
))
story += subsec("6.3 Causes of Post-Hepatic Jaundice")
post_causes = [
["Level", "Cause"],
["Common bile duct — stones", "Choledocholithiasis (most common cause in adults)"],
["Common bile duct — malignant", "Pancreatic head adenocarcinoma (classic painless jaundice), cholangiocarcinoma, ampullary carcinoma"],
["Common bile duct — benign stricture", "Post-cholecystectomy stricture, post-inflammatory stricture"],
["Biliary tree inflammation", "Primary sclerosing cholangitis (PSC), ascending cholangitis"],
["Pediatric causes", "Biliary atresia (most common surgical cause in neonates), choledochal cyst, Alagille syndrome (paucity of intrahepatic bile ducts), cystic fibrosis"],
["Extrinsic compression", "Lymphoma, metastatic lymph nodes, mirizzi syndrome"],
["Intrahepatic cholestasis", "Drug-induced (chlorpromazine, OCP), intrahepatic cholestasis of pregnancy, PBC, viral hepatitis cholestatic variant"],
]
post_table = Table(post_causes, colWidths=[5*cm, 12*cm])
post_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), MID_BLUE),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, MID_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(post_table)
story.append(Paragraph("Table 5: Causes of post-hepatic (obstructive) jaundice", caption))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 7 – NEONATAL JAUNDICE
# ══════════════════════════════════════════════════════════════════════════════
story += sec("7. NEONATAL JAUNDICE")
story.append(para(
"Neonatal jaundice deserves special attention because of its frequency and the risk of "
"neurologic damage (kernicterus) from unconjugated bilirubin toxicity in the immature brain."
))
story += subsec("7.1 Physiologic Jaundice of the Newborn")
story.append(para(
"The hepatic machinery for conjugating and excreting bilirubin does not fully mature until "
"approximately <b>2 weeks of age</b>. As a result, nearly every newborn develops transient, "
"mild <b>unconjugated hyperbilirubinemia</b> — termed physiologic (neonatal) jaundice. This is "
"compounded by:"
))
story.append(bul("High rate of fetal RBC destruction (higher hemoglobin turnover at birth)"))
story.append(bul("Immature hepatic UDPGT activity"))
story.append(bul("<b>Breastfeeding jaundice:</b> bilirubin-deconjugating enzymes present in breast milk "
"can exacerbate hyperbilirubinemia (breast milk jaundice)"))
story.append(Spacer(0.1, 0.1*cm))
story.append(para(
"<b>Treatment:</b> Phototherapy with blue light converts bilirubin to a water-soluble isomer "
"that can be excreted in urine without conjugation, maintaining safe levels until hepatic "
"maturation. Sustained jaundice beyond 2 weeks in a neonate is abnormal and requires workup."
))
story += subsec("7.2 Kernicterus")
story.append(highlight(
"When serum unconjugated bilirubin exceeds the albumin-binding capacity, free (unbound) "
"unconjugated bilirubin crosses the immature blood-brain barrier and is deposited in neurons "
"of the basal ganglia, hippocampus, cerebellum, and brainstem nuclei, causing toxic injury. "
"This condition — kernicterus (bilirubin encephalopathy) — can lead to cerebral palsy, "
"sensorineural hearing loss, gaze palsy, and intellectual disability. It is the major "
"complication of hemolytic disease of the newborn (erythroblastosis fetalis) due to "
"Rh or ABO incompatibility."
))
story += subsec("7.3 Neonatal Cholestasis")
story.append(para(
"Prolonged <b>conjugated</b> hyperbilirubinemia in the neonate (neonatal cholestasis) affects "
"~1 in 2500 live births and is always pathological. Major causes:"
))
story.append(bul("<b>Biliary atresia:</b> fibro-inflammatory obliteration of the extrahepatic biliary tree; "
"most common surgical cause; presents in first 2–8 weeks; requires Kasai portoenterostomy"))
story.append(bul("<b>Neonatal hepatitis:</b> heterogeneous group including alpha-1-antitrypsin deficiency, "
"galactosemia, tyrosinemia, PFIC (progressive familial intrahepatic cholestasis), CMV, rubella, "
"toxoplasma, syphilis, and idiopathic causes (>10–15% of cases)"))
story.append(bul("<b>Alagille syndrome:</b> paucity of intrahepatic bile ducts (bile duct:portal tract ratio "
"<0.5); associated with JAG1/NOTCH2 mutations; butterfly vertebrae, peripheral pulmonic stenosis"))
story.append(Spacer(1, 0.3*cm))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 8 – DIAGNOSTIC APPROACH
# ══════════════════════════════════════════════════════════════════════════════
story += sec("8. DIAGNOSTIC APPROACH TO JAUNDICE")
story += subsec("8.1 History and Physical Examination")
history_data = [
["Finding", "Suggests"],
["History of blood transfusion/IV drug use", "Viral hepatitis (B, C)"],
["Alcohol use disorder", "Alcoholic hepatitis, cirrhosis"],
["Recent medication changes", "Drug-induced liver injury (DILI)"],
["Fever + rigors + RUQ pain + jaundice (Charcot's triad)", "Ascending cholangitis"],
["Painless progressive jaundice in elderly", "Pancreatic head or cholangiocarcinoma"],
["Colicky RUQ pain + jaundice", "Choledocholithiasis"],
["Pruritus without pain", "Intrahepatic cholestasis, PBC, sclerosing cholangitis"],
["Pregnancy", "Intrahepatic cholestasis of pregnancy, HELLP syndrome, acute fatty liver"],
["Family history of jaundice", "Hereditary disorder (Gilbert, Wilson's, hemolytic anemia)"],
]
hist_table = Table(history_data, colWidths=[8*cm, 9*cm])
hist_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, DEEP_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(hist_table)
story.append(Paragraph("Table 6: Clinically relevant history findings in jaundice", caption))
story += subsec("8.2 Laboratory Investigations")
story.append(para(
"Initial blood work should include serum bilirubin fractionation (direct/conjugated vs. "
"indirect/unconjugated), liver function tests, and a complete blood count."
))
lab_data = [
["Test", "Pre-hepatic", "Hepatocellular", "Cholestatic"],
["Total bilirubin", "↑ (mild–moderate)", "↑↑↑", "↑↑↑"],
["Direct bilirubin", "Normal or minimal ↑", "↑↑ (predominates late)", "↑↑↑"],
["Indirect bilirubin", "↑↑ (predominates)", "↑↑ (early)", "Normal / mild ↑"],
["AST / ALT", "Normal", "↑↑↑ (>1000 U/L in acute viral)", "Normal or mildly ↑"],
["ALP / GGT", "Normal", "Normal or mildly ↑", "↑↑↑ (ALP >3x ULN)"],
["PT/INR", "Normal", "↑ (hepatic failure)", "↑ (corrects with vit K)"],
["Albumin", "Normal", "↓ (chronic disease)", "Normal"],
["CBC", "Anemia ± reticulocytosis, spherocytes", "May be normal", "Normal"],
["Peripheral smear", "Spherocytes, schistocytes, sickle cells", "Normal or hypersplenism changes", "Normal"],
["Urine bilirubin", "Absent", "Present", "Present"],
["Urine urobilinogen", "↑↑", "Variable", "↓ or absent"],
["Haptoglobin", "↓ or absent", "Normal", "Normal"],
["LDH", "↑", "↑ (hepatic necrosis)", "Normal"],
]
lab_table = Table(lab_data, colWidths=[3.5*cm, 4.5*cm, 4.5*cm, 4.5*cm])
lab_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, DEEP_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(lab_table)
story.append(Paragraph("Table 7: Laboratory differentiation of jaundice types", caption))
story.append(PageBreak())
story += subsec("8.3 Diagnostic Algorithm (Harrison's Framework)")
story.append(para(
"The following stepwise approach is recommended for evaluating jaundice "
"(based on Harrison's Principles of Internal Medicine 22E):"
))
algo_steps = [
("Step 1", "Determine if bilirubin elevation is ISOLATED or associated with other liver test abnormalities"),
("Step 2", "Fractionate bilirubin: is it predominantly UNCONJUGATED or CONJUGATED?"),
("Step 3", "If unconjugated: is there hemolysis (CBC, reticulocytes, haptoglobin, LDH, peripheral smear) or a hereditary conjugation defect (Gilbert, Crigler-Najjar)?"),
("Step 4", "If conjugated + other LFT abnormalities: is the pattern HEPATOCELLULAR (↑AST/ALT) or CHOLESTATIC (↑ALP/GGT)?"),
("Step 5 — Cholestatic", "Perform ULTRASOUND first to detect biliary dilation. Dilation = extrahepatic obstruction; no dilation = intrahepatic cholestasis"),
("Step 6 — Extrahepatic", "Further imaging: CT, MRCP, ERCP (gold standard for choledocholithiasis), EUS, or PTC"),
("Step 7 — Intrahepatic", "Serologic tests: viral hepatitis panel, ANA, ASMA, AMA (for PBC), ceruloplasmin (Wilson's), ferritin/transferrin saturation (hemochromatosis), IgG4 (autoimmune)"),
("Step 8", "Liver biopsy when diagnosis remains uncertain after non-invasive workup"),
]
for step, desc in algo_steps:
algo_row_data = [[Paragraph(f"<b>{step}</b>", ParagraphStyle("s1", fontName="Helvetica-Bold", fontSize=9, textColor=white)),
Paragraph(desc, ParagraphStyle("s2", fontName="Helvetica", fontSize=9, textColor=HexColor("#1C1C1C")))]]
bg = DEEP_BLUE if "Step 1" in step or "Step 2" in step else MID_BLUE if "Step 3" in step or "Step 4" in step else HexColor("#4A90D9")
algo_row = Table(algo_row_data, colWidths=[3*cm, 14*cm])
algo_row.setStyle(TableStyle([
("BACKGROUND", (0,0), (0,0), bg),
("BACKGROUND", (1,0), (1,0), SECTION_BG),
("BOX", (0,0), (-1,-1), 0.5, MID_BLUE),
("TOPPADDING", (0,0), (-1,-1), 6),
("BOTTOMPADDING", (0,0), (-1,-1), 6),
("LEFTPADDING", (0,0), (-1,-1), 8),
("VALIGN", (0,0), (-1,-1), "MIDDLE"),
]))
story.append(algo_row)
story.append(Spacer(1, 0.1*cm))
story.append(Spacer(1, 0.3*cm))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 9 – IMAGING
# ══════════════════════════════════════════════════════════════════════════════
story += sec("9. IMAGING IN JAUNDICE")
story.append(para(
"Imaging is essential to distinguish extrahepatic from intrahepatic cholestasis and to "
"identify the cause and level of obstruction."
))
imaging_data = [
["Modality", "Role", "Key Advantages / Notes"],
["Ultrasound (USG)", "First-line imaging in all jaundiced patients", "Cheap, no radiation, detects biliary dilation with high sensitivity; poor visualization of distal CBD due to bowel gas"],
["CT abdomen", "Second-line; characterize mass, level of obstruction", "Better for pancreatic head, lymph nodes; shows level of obstruction well"],
["MRCP", "Non-invasive cholangiogram; replaced ERCP as initial test in most cases", "Excellent for visualizing bile ducts, stones, strictures, without radiation or contrast injection"],
["ERCP", "Gold standard for choledocholithiasis; also therapeutic", "Allows stone extraction, stent placement; invasive; risk of post-ERCP pancreatitis"],
["EUS", "Detection of distal CBD stones; allows FNA of masses", "Sensitivity comparable to MRCP for CBD obstruction; invasive but lower risk than ERCP"],
["PTC", "When ERCP fails (altered anatomy)", "Allows biliary drainage and stent placement percutaneously"],
["Liver biopsy", "Intrahepatic cholestasis with uncertain diagnosis", "Defines histologic pattern: hepatitis, PBC, PSC, DILI, hereditary disorders"],
]
img_table = Table(imaging_data, colWidths=[3.2*cm, 5.5*cm, 8.3*cm])
img_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, DEEP_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(imaging_data and img_table)
story.append(Paragraph("Table 8: Imaging modalities in jaundice", caption))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 10 – COMPLICATIONS
# ══════════════════════════════════════════════════════════════════════════════
story += sec("10. COMPLICATIONS OF JAUNDICE")
story += subsec("10.1 Complications of Unconjugated Hyperbilirubinemia")
story.append(bul("<b>Kernicterus (Bilirubin Encephalopathy):</b> unconjugated bilirubin crosses the "
"blood-brain barrier in neonates (and in adults with severely impaired BBB), depositing in "
"basal ganglia and brainstem nuclei, causing permanent neurologic damage — cerebral palsy, "
"sensorineural deafness, gaze palsies"))
story.append(bul("<b>Renal tubular effects:</b> unbound unconjugated bilirubin may be directly toxic "
"to renal tubular cells in hemolytic crises"))
story += subsec("10.2 Complications of Conjugated Hyperbilirubinemia / Cholestasis")
story.append(bul("<b>Pruritus:</b> bile salts deposited in skin cause severe, debilitating itching"))
story.append(bul("<b>Fat-soluble vitamin deficiencies:</b> reduced intraluminal bile acids impair "
"absorption of vitamins A (night blindness), D (metabolic bone disease / osteoporosis), "
"E (neuropathy), and K (coagulopathy)"))
story.append(bul("<b>Steatorrhea:</b> malabsorption of dietary fat due to reduced bile acid pool"))
story.append(bul("<b>Skin xanthomas:</b> focal deposition of cholesterol in skin from hypercholesterolemia "
"(cholesterol excretion impaired)"))
story.append(bul("<b>Secondary biliary cirrhosis:</b> prolonged extrahepatic obstruction leads to "
"periportal fibrosis → bridging fibrosis → cirrhosis"))
story.append(bul("<b>Ascending cholangitis (Charcot's triad / Reynolds pentad):</b> bacterial infection "
"of bile (E. coli, Klebsiella, Enterococcus) — fever, RUQ pain, jaundice; if septic shock "
"and confusion (Reynolds pentad) → medical emergency"))
story.append(bul("<b>Acute renal failure:</b> bile salts can cause renal vasoconstriction and direct "
"tubular toxicity (hepatorenal syndrome in cirrhotic patients)"))
story.append(Spacer(1, 0.3*cm))
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 11 – TREATMENT OVERVIEW
# ══════════════════════════════════════════════════════════════════════════════
story += sec("11. PRINCIPLES OF MANAGEMENT")
story.append(para(
"Treatment of jaundice is directed at the underlying cause rather than the jaundice itself."
))
mgmt_data = [
["Type of Jaundice", "Management Principles"],
["Hemolytic (pre-hepatic)", "Treat underlying hemolytic disorder; folic acid supplementation; transfusion if severe; exchange transfusion for severe neonatal jaundice; phototherapy for neonatal unconjugated jaundice"],
["Gilbert syndrome", "No treatment needed; reassurance"],
["Crigler-Najjar type I", "Phototherapy 10–12 hr/day; liver transplantation is curative"],
["Crigler-Najjar type II", "Phenobarbital (induces residual UDPGT); phototherapy"],
["Viral hepatitis", "Supportive; antivirals for HBV/HCV; avoid hepatotoxins; liver transplant for fulminant failure"],
["Drug-induced", "Stop offending drug; N-acetylcysteine for acetaminophen toxicity; supportive care"],
["Alcoholic hepatitis", "Alcohol abstinence; steroids (prednisolone) for severe disease (Maddrey Discriminant Function >32); pentoxifylline as alternative"],
["Autoimmune hepatitis", "Prednisolone ± azathioprine"],
["Wilson's disease", "D-penicillamine or trientine; zinc to reduce absorption; liver transplant for fulminant failure"],
["Choledocholithiasis (obstructive)", "ERCP with sphincterotomy and stone extraction; cholecystectomy"],
["Malignant obstruction", "Biliary stenting (ERCP/PTC); surgical resection if operable; palliative drainage"],
["Biliary atresia (neonate)", "Kasai portoenterostomy; liver transplantation"],
["Primary Biliary Cholangitis (PBC)", "Ursodeoxycholic acid (UDCA); obeticholic acid for incomplete responders"],
["Primary Sclerosing Cholangitis (PSC)", "UDCA (controversial); endoscopic dilation of dominant strictures; liver transplantation"],
["Cholestasis — pruritus", "Cholestyramine (bile acid sequestrant), rifampicin, naltrexone, sertraline"],
]
mgmt_table = Table(mgmt_data, colWidths=[5*cm, 12*cm])
mgmt_table.setStyle(TableStyle([
("BACKGROUND", (0,0), (-1,0), TABLE_HEAD),
("TEXTCOLOR", (0,0), (-1,0), white),
("FONTNAME", (0,0), (-1,0), "Helvetica-Bold"),
("FONTNAME", (0,0), (0,-1), "Helvetica-Bold"),
("BACKGROUND", (0,1), (0,-1), LIGHT_BLUE),
("FONTSIZE", (0,0), (-1,-1), 8.5),
("ROWBACKGROUNDS",(0,1), (-1,-1), [white, TABLE_ALT]),
("BOX", (0,0), (-1,-1), 0.75, DEEP_BLUE),
("INNERGRID", (0,0), (-1,-1), 0.4, HexColor("#AAAAAA")),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 6),
("RIGHTPADDING", (0,0), (-1,-1), 6),
("VALIGN", (0,0), (-1,-1), "TOP"),
]))
story.append(mgmt_table)
story.append(Paragraph("Table 9: Management principles by type of jaundice", caption))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# SECTION 12 – QUICK REVISION SUMMARY
# ══════════════════════════════════════════════════════════════════════════════
story += sec("12. QUICK REVISION SUMMARY")
story.append(Spacer(1, 0.2*cm))
# Mnemonics / key facts
key_facts = [
("Bilirubin Normal", "0.3 – 1.2 mg/dL total; <0.3 mg/dL direct"),
("Jaundice visible", "> 2 – 2.5 mg/dL"),
("Conjugated bilirubin", "Water-soluble, excreted in urine → bilirubinuria → dark urine"),
("Unconjugated bilirubin", "Water-insoluble, albumin-bound, NOT in urine → acholuric jaundice"),
("Pre-hepatic marker", "↑ Indirect bilirubin, ↑ LDH, ↓ haptoglobin, ↑ urobilinogen, normal ALP/ALT"),
("Hepatic marker", "↑↑ AST/ALT ('hepatocellular enzymes'), both fractions elevated"),
("Post-hepatic marker", "↑↑ ALP + GGT + Direct bilirubin; pale stool, dark urine, pruritus"),
("Charcot's triad", "Fever + RUQ pain + Jaundice = Ascending cholangitis"),
("Reynolds pentad", "Charcot's triad + Shock + Confusion = Suppurative cholangitis (emergency)"),
("Painless jaundice", "Pancreatic head malignancy until proven otherwise (Courvoisier's sign)"),
("Kernicterus risk", "Unconjugated bilirubin > albumin-binding capacity → free bilirubin → brain damage"),
("Courvoisier's law", "Painless jaundice + palpable non-tender gallbladder → malignant obstruction"),
("Gilbert syndrome", "Most common hereditary hyperbilirubinemia; ↓ UGT1A1 promoter; benign; exacerbated by fasting"),
("Dubin-Johnson", "Dark liver (pigmented) + conjugated hyperbilirubinemia; ↓ MRP2; benign"),
("Feathery degeneration", "Hepatocyte cytoplasmic swelling with bile pigment in cholestasis — pathognomonic morphology"),
("1st line imaging", "Ultrasound for all patients with jaundice"),
]
for term, fact in key_facts:
fact_row = Table([[Paragraph(f"<b>{term}</b>", ParagraphStyle("t1", fontName="Helvetica-Bold", fontSize=9, textColor=DEEP_BLUE)),
Paragraph(fact, ParagraphStyle("t2", fontName="Helvetica", fontSize=9, textColor=HexColor("#1C1C1C")))
]], colWidths=[5*cm, 12*cm])
fact_row.setStyle(TableStyle([
("BACKGROUND", (0,0), (0,0), LIGHT_BLUE),
("BACKGROUND", (1,0), (1,0), white),
("BOX", (0,0), (-1,-1), 0.4, MID_BLUE),
("TOPPADDING", (0,0), (-1,-1), 5),
("BOTTOMPADDING", (0,0), (-1,-1), 5),
("LEFTPADDING", (0,0), (-1,-1), 8),
("VALIGN", (0,0), (-1,-1), "MIDDLE"),
]))
story.append(fact_row)
story.append(Spacer(1, 0.05*cm))
story.append(PageBreak())
# ══════════════════════════════════════════════════════════════════════════════
# REFERENCES
# ══════════════════════════════════════════════════════════════════════════════
story += sec("REFERENCES")
refs = [
"Kumar V, Abbas AK, Aster JC. Robbins & Kumar Basic Pathology, 11th Edition. Elsevier; 2023. "
"Chapter 14: Liver and Biliary Tract — Pathophysiology of Jaundice, pp. 619–621.",
"Loscalzo J, Fauci A, Kasper D, et al. Harrison's Principles of Internal Medicine, 22nd Edition. "
"McGraw-Hill; 2025. Chapter 52: Jaundice, Evaluation of the Patient with Jaundice, pp. 364–370.",
"Sleisenger MH, Fordtran JS. Gastrointestinal and Liver Disease: Pathophysiology, Diagnosis, "
"Management. 11th Edition. Elsevier; 2021.",
"Yamada T. Yamada's Textbook of Gastroenterology, 7th Edition. Wiley-Blackwell; 2022. "
"Chapter: Cholestatic Liver Injury and Hyperbilirubinemia.",
"Goldman L, Cooney KA. Goldman-Cecil Medicine, 27th Edition (International Edition). "
"Elsevier; 2024.",
]
for i, ref in enumerate(refs, 1):
story.append(Paragraph(f"{i}. {ref}", ParagraphStyle("ref", fontName="Helvetica", fontSize=9,
leading=13, spaceAfter=5, leftIndent=15, firstLineIndent=-15, textColor=HexColor("#1C1C1C"))))
# ── BUILD PDF ─────────────────────────────────────────────────────────────────
doc = SimpleDocTemplate(
OUTPUT,
pagesize=A4,
topMargin=1.6*cm,
bottomMargin=1.4*cm,
leftMargin=1.5*cm,
rightMargin=1.5*cm,
title="Jaundice — Pathology",
author="Orris Medical Library",
subject="Pathology of Jaundice",
)
doc.build(story, onFirstPage=on_page, onLaterPages=on_page)
print("PDF generated:", OUTPUT)
Running Command
cd /home/daytona/workspace/jaundice-pathology && python generate_pdf.py 2>&1
Your credits are exhausted. Your daily credits reset tomorrow, or you can purchase a top-up for more.
This is a shared conversation. Sign in to Orris to start your own chat.