Make pdf of increase and decrease DLC count separately

I need to understand what you mean by "DLC count" before I can create a PDF. Let me ask for clarification.
Asking for Preferences

What does 'DLC count' refer to in your request?

Got it - Differential Leukocyte Count. Now I need to gather the medical content before creating the PDF.
Reading File
Now let me search the textbooks for DLC content in parallel:
Finding Sources
Finding Sources
Now let me read the key sections from Henry's textbook:
Reading File
Finding Sources
Excellent! Robbins has a table. Let me read both sources in parallel:
Reading File
Reading File
I have excellent data from both Robbins and Family Medicine textbooks. Let me also get the Robbins table continuation and Henry's detailed DLC section:
Reading File
Reading File
I now have comprehensive data. Let me also get the Robbins table continuation (for the full leukocytosis table with monocytosis, lymphocytosis, and the leukopenia section):
Reading File
I have comprehensive content. Now let me also read the PDF skill and then generate the PDF:
Reading File
I have all the information I need. Now let me create the PDF using reportlab:
Running Command

mkdir -p /tmp/workspace/dlc-pdf && ls /tmp/workspace/dlc-pdf/

Writing File

~/dlc-pdf/create_dlc_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, PageBreak, KeepTogether
)
from reportlab.lib.enums import TA_CENTER, TA_LEFT
from reportlab.pdfgen import canvas

OUTPUT = "/tmp/workspace/dlc-pdf/DLC_Count_Increase_Decrease.pdf"

# ─────────────────── styles ────────────────────────────────────────────
styles = getSampleStyleSheet()

title_style = ParagraphStyle(
    "Title", parent=styles["Title"],
    fontSize=22, textColor=colors.HexColor("#1a237e"),
    spaceAfter=6, alignment=TA_CENTER, fontName="Helvetica-Bold"
)
subtitle_style = ParagraphStyle(
    "Subtitle", parent=styles["Normal"],
    fontSize=11, textColor=colors.HexColor("#455a64"),
    spaceAfter=18, alignment=TA_CENTER
)
section_header_style = ParagraphStyle(
    "SectionHeader",
    fontSize=16, fontName="Helvetica-Bold",
    textColor=colors.white, leading=20,
    leftIndent=0, spaceAfter=0, spaceBefore=0,
    alignment=TA_LEFT
)
cell_header_style = ParagraphStyle(
    "CellHeader",
    fontSize=12, fontName="Helvetica-Bold",
    textColor=colors.HexColor("#1a237e"),
    spaceAfter=4, spaceBefore=10
)
body_style = ParagraphStyle(
    "Body", parent=styles["Normal"],
    fontSize=9.5, leading=15, textColor=colors.HexColor("#212121"),
    spaceAfter=3
)
bullet_style = ParagraphStyle(
    "Bullet", parent=styles["Normal"],
    fontSize=9.5, leading=15, textColor=colors.HexColor("#212121"),
    leftIndent=14, bulletIndent=4, spaceAfter=2,
    bulletText="\u2022"
)
note_style = ParagraphStyle(
    "Note", parent=styles["Normal"],
    fontSize=8.5, leading=13, textColor=colors.HexColor("#546e7a"),
    leftIndent=10, spaceAfter=6, fontName="Helvetica-Oblique"
)
footer_style = ParagraphStyle(
    "Footer", parent=styles["Normal"],
    fontSize=7.5, textColor=colors.HexColor("#90a4ae"),
    alignment=TA_CENTER
)

# ─────────────────── data ───────────────────────────────────────────────
# INCREASED DLC
increased = [
    {
        "cell": "Neutrophilia",
        "normal": "40-70% | ANC > 7.5 × 10\u2079/L",
        "color": "#e3f2fd",
        "header_color": "#1565c0",
        "causes": [
            ("Infections (most common)", [
                "Acute pyogenic bacterial infections (Staph, Strep, E.coli)",
                "Fungal infections",
                "Early/recovering viral infections",
            ]),
            ("Tissue Necrosis / Inflammation", [
                "Myocardial infarction (MI)",
                "Burns, trauma, surgery",
                "Acute pancreatitis, infarction",
            ]),
            ("Drugs / Physiological", [
                "Corticosteroids (glucocorticoids \u2192 demargination)",
                "G-CSF, epinephrine, catecholamines",
                "Exercise, emotional stress, smoking",
            ]),
            ("Metabolic / Endocrine", [
                "Diabetic ketoacidosis (DKA)",
                "Uremia, eclampsia, gout",
                "Cushing syndrome",
            ]),
            ("Neoplastic", [
                "Chronic myeloid leukemia (CML) - hallmark",
                "Myeloproliferative neoplasms",
                "Paraneoplastic: Hodgkin lymphoma, renal cell carcinoma, GI tumors",
            ]),
            ("Others", [
                "Haemorrhage, haemolysis",
                "Rheumatoid arthritis, autoimmune disorders",
                "Polycythemia vera",
            ]),
        ],
        "note": "Left shift (band forms) indicates marrow stress. Toxic granulations + D\u00f6hle bodies \u2192 severe infection/sepsis.",
    },
    {
        "cell": "Eosinophilia",
        "normal": "1-4% | > 0.5 \u00d7 10\u2079/L",
        "color": "#f3e5f5",
        "header_color": "#6a1b9a",
        "causes": [
            ("Allergic / Hypersensitivity (NAACP mnemonic)", [
                "Bronchial asthma, hay fever, allergic rhinitis",
                "Drug hypersensitivity (penicillin, aspirin, sulfonamides)",
                "Atopic dermatitis, urticaria",
            ]),
            ("Parasitic Infections (tissue-invasive)", [
                "Ascaris, toxocara (visceral larva migrans)",
                "Strongyloides, trichinosis",
                "Filariasis, schistosomiasis, hydatid cyst",
            ]),
            ("Skin Diseases", [
                "Pemphigus, dermatitis herpetiformis",
                "Psoriasis, eczema",
            ]),
            ("Neoplastic", [
                "Hodgkin lymphoma, non-Hodgkin lymphoma",
                "Chronic myeloid leukemia",
                "Eosinophilic leukemia, polycythemia vera",
            ]),
            ("Autoimmune / Vasculitis", [
                "Eosinophilic granulomatosis with polyangiitis (Churg-Strauss)",
                "SLE, polyarteritis nodosa",
            ]),
            ("Others", [
                "Addison disease (decreased corticosteroids)",
                "Tropical eosinophilia, Loffler syndrome",
                "Atheroembolic disease (transient)",
            ]),
        ],
        "note": "Mnemonic NAACP: Neoplasm, Allergy, Addison\u2019s, Collagen vascular disease, Parasites.",
    },
    {
        "cell": "Basophilia",
        "normal": "0-1% | > 0.1 \u00d7 10\u2079/L",
        "color": "#fff3e0",
        "header_color": "#e65100",
        "causes": [
            ("Myeloproliferative Neoplasms (most important)", [
                "Chronic myeloid leukemia (CML) \u2014 hallmark",
                "Polycythemia vera",
                "Myeloid metaplasia (myelofibrosis)",
            ]),
            ("Allergic / Inflammatory", [
                "Allergic reactions (food, drugs, insect stings)",
                "Chronic allergic states, urticaria",
                "Inflammatory bowel disease",
            ]),
            ("Endocrine / Metabolic", [
                "Hypothyroidism (myxoedema)",
                "Diabetes mellitus",
                "Oestrogen therapy",
            ]),
            ("Others", [
                "Ionizing radiation",
                "Chronic haemolytic anaemia",
                "Post splenectomy",
                "Varicella (chickenpox) \u2014 rare infectious cause",
            ]),
        ],
        "note": "Basophilia is rare; when present, CML must always be excluded.",
    },
    {
        "cell": "Monocytosis",
        "normal": "2-10% | > 0.8 \u00d7 10\u2079/L",
        "color": "#e8f5e9",
        "header_color": "#1b5e20",
        "causes": [
            ("Chronic Infections", [
                "Tuberculosis (TB) \u2014 classic",
                "Bacterial endocarditis (subacute, SBE)",
                "Rickettsiosis, brucellosis, malaria",
                "Syphilis, kala-azar (visceral leishmaniasis)",
            ]),
            ("Autoimmune / Inflammatory", [
                "SLE, rheumatoid arthritis",
                "Inflammatory bowel disease (Crohn\u2019s, ulcerative colitis)",
                "Sarcoidosis",
            ]),
            ("Neoplastic", [
                "Monocytic and myelomonocytic leukemia (CMML)",
                "Hodgkin lymphoma",
                "Myelodysplastic syndromes (MDS)",
            ]),
            ("Recovery Phase", [
                "Recovery from agranulocytosis",
                "After bone marrow suppression (chemotherapy)",
            ]),
            ("Others", [
                "Drug reactions",
                "Lipid storage diseases (Gaucher\u2019s)",
            ]),
        ],
        "note": "Monocytosis + lymphocytosis often seen together in viral infections and autoimmune states.",
    },
    {
        "cell": "Lymphocytosis",
        "normal": "20-40% | > 4.0 \u00d7 10\u2079/L (adults)",
        "color": "#fce4ec",
        "header_color": "#880e4f",
        "causes": [
            ("Viral Infections (most common)", [
                "Infectious mononucleosis (EBV) \u2014 classic, atypical lymphocytes",
                "CMV, hepatitis viruses (A, B, C)",
                "Mumps, rubella, varicella",
                "Pertussis (whooping cough) \u2014 bacterial but causes lymphocytosis",
            ]),
            ("Other Infections", [
                "Toxoplasmosis",
                "Cat-scratch disease (Bartonella henselae)",
                "Brucellosis, typhoid (relative)",
            ]),
            ("Neoplastic", [
                "Chronic lymphocytic leukemia (CLL) \u2014 most common cause of absolute lymphocytosis in adults",
                "Acute lymphoblastic leukemia (ALL)",
                "Non-Hodgkin lymphoma",
            ]),
            ("Others", [
                "Post-splenectomy",
                "Drug reactions (e.g., phenytoin)",
                "Thyrotoxicosis",
                "Adrenal insufficiency (Addison\u2019s)",
            ]),
        ],
        "note": "In children, lymphocytosis is normal up to age 4-6 years. Atypical lymphocytes \u2192 think EBV/CMV.",
    },
]

# DECREASED DLC
decreased = [
    {
        "cell": "Neutropenia",
        "normal": "ANC < 1.5 \u00d7 10\u2079/L (white); < 1.2 \u00d7 10\u2079/L (black)",
        "color": "#e3f2fd",
        "header_color": "#1565c0",
        "causes": [
            ("Decreased Production", [
                "Aplastic anaemia, myelofibrosis",
                "Vitamin B12 / folate deficiency (megaloblastic)",
                "Congenital: Kostmann syndrome, Shwachman-Diamond, Fanconi anaemia, cyclic neutropenia",
                "Myelodysplastic syndromes (MDS)",
            ]),
            ("Drugs (most common acquired cause)", [
                "Clozapine, carbimazole, propylthiouracil",
                "Chloramphenicol, sulfonamides",
                "Cytotoxic chemotherapy",
                "Chlorpromazine, indomethacin",
            ]),
            ("Infections", [
                "Overwhelming bacterial sepsis (toxic neutropenia)",
                "Viral: HIV, EBV, CMV, hepatitis, influenza",
                "Typhoid, brucellosis, malaria",
            ]),
            ("Immune / Autoimmune", [
                "SLE, Felty syndrome (RA + splenomegaly + neutropenia)",
                "Autoimmune neutropenia of infancy",
                "Neonatal alloimmune neutropenia",
            ]),
            ("Hypersplenism", [
                "Portal hypertension, liver cirrhosis",
                "Gaucher\u2019s disease, lymphoma",
            ]),
            ("Others", [
                "Ionizing radiation",
                "Anaphylaxis / anaphylactic shock",
                "Cachexia, malnutrition",
            ]),
        ],
        "note": "Agranulocytosis = ANC < 0.5 \u00d7 10\u2079/L \u2014 risk of life-threatening infections. Always think drugs first.",
    },
    {
        "cell": "Eosinopenia",
        "normal": "< 0.05 \u00d7 10\u2079/L (often 0 in acute states)",
        "color": "#f3e5f5",
        "header_color": "#6a1b9a",
        "causes": [
            ("Physiological / Stress Response", [
                "Acute physical or emotional stress",
                "Post-surgery, trauma",
                "Acute myocardial infarction",
            ]),
            ("Endocrine", [
                "Cushing syndrome (endogenous cortisol excess)",
                "Exogenous corticosteroid therapy",
            ]),
            ("Acute Inflammatory States", [
                "Early acute bacterial infections",
                "Acute sepsis",
            ]),
            ("Others", [
                "Aplastic anaemia",
                "Excess ACTH secretion",
            ]),
        ],
        "note": "Eosinopenia is a normal response to stress/corticosteroids. Absence of eosinophils in a blood film during fever suggests typhoid.",
    },
    {
        "cell": "Basopenia",
        "normal": "< 0.02 \u00d7 10\u2079/L (difficult to detect)",
        "color": "#fff3e0",
        "header_color": "#e65100",
        "causes": [
            ("Endocrine / Metabolic", [
                "Hyperthyroidism (thyrotoxicosis) \u2014 classic",
                "Glucocorticoid excess (Cushing / steroid therapy)",
            ]),
            ("Acute Stress / Infection", [
                "Acute infection or acute inflammatory states",
                "Acute stress reactions",
            ]),
            ("Others", [
                "Sustained glucocorticoid treatment",
                "Ovulation, pregnancy",
                "Urticaria (basophil degranulation)",
            ]),
        ],
        "note": "Basopenia is clinically less significant; its main association is hyperthyroidism and glucocorticoid treatment.",
    },
    {
        "cell": "Monocytopenia",
        "normal": "< 0.2 \u00d7 10\u2079/L",
        "color": "#e8f5e9",
        "header_color": "#1b5e20",
        "causes": [
            ("Aplastic States", [
                "Aplastic anaemia",
                "Hairy cell leukemia (hallmark \u2014 selective monocytopenia)",
            ]),
            ("Drugs / Treatment", [
                "Corticosteroid therapy",
                "Cytotoxic chemotherapy",
                "Endotoxin (transient)",
            ]),
            ("Others", [
                "Overwhelming infection (bone marrow exhaustion)",
                "HIV/AIDS (advanced)",
            ]),
        ],
        "note": "Selective monocytopenia is a hallmark of hairy cell leukemia. Monocytopenia leads to impaired defence against intracellular organisms.",
    },
    {
        "cell": "Lymphopenia",
        "normal": "< 1.5 \u00d7 10\u2079/L (adults); < 3.0 \u00d7 10\u2079/L (children)",
        "color": "#fce4ec",
        "header_color": "#880e4f",
        "causes": [
            ("Immunosuppressive Drugs", [
                "Corticosteroids (major cause)",
                "Cyclophosphamide, azathioprine, methotrexate",
                "Anti-thymocyte globulin (ATG)",
            ]),
            ("Viral Infections", [
                "HIV/AIDS (CD4+ T-cell depletion)",
                "SARS-CoV-2 (COVID-19)",
                "Influenza, measles, hepatitis",
            ]),
            ("Congenital Immunodeficiencies", [
                "Severe combined immunodeficiency (SCID)",
                "DiGeorge syndrome (T-cell deficiency)",
                "Wiskott-Aldrich syndrome",
            ]),
            ("Others", [
                "Radiotherapy, chemotherapy",
                "SLE (autoimmune destruction)",
                "Protein-energy malnutrition",
                "Thoracic duct drainage / obstruction",
            ]),
        ],
        "note": "HIV is the most important infectious cause. Lymphopenia < 200/\u03bcL = AIDS-defining criterion.",
    },
]

# ─────────────────── build PDF ──────────────────────────────────────────
def section_banner(text, bg_hex):
    banner_table = Table(
        [[Paragraph(text, section_header_style)]],
        colWidths=[17.6 * cm],
    )
    banner_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor(bg_hex)),
        ("TOPPADDING", (0, 0), (-1, -1), 10),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 10),
        ("LEFTPADDING", (0, 0), (-1, -1), 14),
        ("RIGHTPADDING", (0, 0), (-1, -1), 14),
        ("ROUNDEDCORNERS", [6, 6, 6, 6]),
    ]))
    return banner_table


def build_cell_table(cell_dict):
    """Build a styled card for a single WBC cell type."""
    flowables = []

    # Cell header bar
    header_table = Table(
        [[
            Paragraph(f"<b>{cell_dict['cell']}</b>", ParagraphStyle(
                "ch", fontSize=13, fontName="Helvetica-Bold",
                textColor=colors.white, leading=18)),
            Paragraph(f"<i>Normal: {cell_dict['normal']}</i>", ParagraphStyle(
                "cn", fontSize=9, fontName="Helvetica-Oblique",
                textColor=colors.HexColor("#e0e0e0"), leading=12, alignment=1)),
        ]],
        colWidths=[10 * cm, 7.6 * cm],
    )
    header_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor(cell_dict["header_color"])),
        ("TOPPADDING", (0, 0), (-1, -1), 8),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 8),
        ("LEFTPADDING", (0, 0), (0, 0), 12),
        ("RIGHTPADDING", (-1, -1), (-1, -1), 12),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
    ]))
    flowables.append(header_table)

    # Causes
    causes_data = []
    for category, items in cell_dict["causes"]:
        row_content = [
            Paragraph(f"<b>{category}</b>", body_style),
            "\n".join([f"\u2022 {it}" for it in items])
        ]
        bullets_para = Paragraph(
            "<br/>".join([f"\u2022 {it}" for it in items]),
            ParagraphStyle("bul2", fontSize=9, leading=14,
                           textColor=colors.HexColor("#212121"), leftIndent=6)
        )
        causes_data.append([
            Paragraph(f"<b>{category}</b>", ParagraphStyle(
                "cat", fontSize=9.5, fontName="Helvetica-Bold",
                textColor=colors.HexColor("#424242"), leading=14
            )),
            bullets_para
        ])

    causes_table = Table(
        causes_data,
        colWidths=[5.5 * cm, 12.1 * cm],
    )
    causes_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor(cell_dict["color"])),
        ("TOPPADDING", (0, 0), (-1, -1), 6),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
        ("LEFTPADDING", (0, 0), (0, -1), 10),
        ("RIGHTPADDING", (-1, 0), (-1, -1), 10),
        ("VALIGN", (0, 0), (-1, -1), "TOP"),
        ("ROWBACKGROUNDS", (0, 0), (-1, -1),
         [colors.HexColor(cell_dict["color"]), colors.HexColor("#ffffff")]),
        ("LINEBELOW", (0, 0), (-1, -2), 0.3, colors.HexColor("#bdbdbd")),
    ]))
    flowables.append(causes_table)

    # Note
    note_table = Table(
        [[Paragraph(f"\u24d8 {cell_dict['note']}", note_style)]],
        colWidths=[17.6 * cm],
    )
    note_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#eceff1")),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 5),
        ("LEFTPADDING", (0, 0), (-1, -1), 10),
        ("RIGHTPADDING", (0, 0), (-1, -1), 10),
    ]))
    flowables.append(note_table)
    flowables.append(Spacer(1, 10))

    return KeepTogether(flowables)


def build_pdf():
    doc = SimpleDocTemplate(
        OUTPUT,
        pagesize=A4,
        rightMargin=1.7 * cm,
        leftMargin=1.7 * cm,
        topMargin=1.8 * cm,
        bottomMargin=1.8 * cm,
        title="Differential Leukocyte Count - Increased & Decreased",
        author="Orris Medical Library",
    )

    story = []

    # ── Cover / Title ──────────────────────────────────────────────────
    story.append(Spacer(1, 20))
    story.append(Paragraph("Differential Leukocyte Count (DLC)", title_style))
    story.append(Paragraph(
        "Causes of Increase &amp; Decrease &nbsp;|&nbsp; "
        "Compiled from Robbins Pathology, Henry\u2019s Clinical Diagnosis &amp; Family Medicine",
        subtitle_style
    ))
    story.append(HRFlowable(width="100%", thickness=2,
                            color=colors.HexColor("#1a237e"), spaceAfter=16))

    # ── Normal Values Reference Box ────────────────────────────────────
    ref_data = [
        [
            Paragraph("<b>Cell Type</b>", ParagraphStyle("rh", fontSize=9.5, fontName="Helvetica-Bold", textColor=colors.white)),
            Paragraph("<b>% Range</b>", ParagraphStyle("rh2", fontSize=9.5, fontName="Helvetica-Bold", textColor=colors.white)),
            Paragraph("<b>Absolute (×10⁹/L)</b>", ParagraphStyle("rh3", fontSize=9.5, fontName="Helvetica-Bold", textColor=colors.white)),
        ],
        ["Neutrophils", "40–70%", "1.8–7.5"],
        ["Eosinophils", "1–4%", "0.04–0.5"],
        ["Basophils", "0–1%", "0–0.1"],
        ["Monocytes", "2–10%", "0.2–0.8"],
        ["Lymphocytes", "20–40%", "1.0–4.8"],
    ]
    ref_table = Table(ref_data, colWidths=[6 * cm, 5 * cm, 6.6 * cm])
    ref_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#37474f")),
        ("TEXTCOLOR", (0, 0), (-1, 0), colors.white),
        ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
        ("FONTSIZE", (0, 0), (-1, -1), 9.5),
        ("ROWBACKGROUNDS", (0, 1), (-1, -1),
         [colors.HexColor("#f5f5f5"), colors.white]),
        ("ALIGN", (0, 0), (-1, -1), "CENTER"),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
        ("TOPPADDING", (0, 0), (-1, -1), 5),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 5),
        ("GRID", (0, 0), (-1, -1), 0.5, colors.HexColor("#90a4ae")),
    ]))
    story.append(Paragraph("<b>Normal Reference Values</b>",
                           ParagraphStyle("nrv", fontSize=11, fontName="Helvetica-Bold",
                                          textColor=colors.HexColor("#37474f"), spaceAfter=6)))
    story.append(ref_table)
    story.append(Spacer(1, 24))

    # ══════════════════════════════════════════════
    # SECTION 1: INCREASED DLC
    # ══════════════════════════════════════════════
    story.append(section_banner("▲  INCREASED DLC (Leukocytosis by Cell Type)", "#c62828"))
    story.append(Spacer(1, 10))

    for cell_data in increased:
        story.append(build_cell_table(cell_data))

    story.append(PageBreak())

    # ══════════════════════════════════════════════
    # SECTION 2: DECREASED DLC
    # ══════════════════════════════════════════════
    story.append(section_banner("▼  DECREASED DLC (Leukopenia by Cell Type)", "#1565c0"))
    story.append(Spacer(1, 10))

    for cell_data in decreased:
        story.append(build_cell_table(cell_data))

    # ── Footer ─────────────────────────────────────────────────────────
    story.append(Spacer(1, 16))
    story.append(HRFlowable(width="100%", thickness=1,
                            color=colors.HexColor("#b0bec5"), spaceAfter=6))
    story.append(Paragraph(
        "Sources: Robbins &amp; Cotran Pathologic Basis of Disease (10e) | "
        "Henry\u2019s Clinical Diagnosis and Management by Laboratory Methods | "
        "Textbook of Family Medicine (9e) &nbsp;|&nbsp; Compiled by Orris \u00a9 2026",
        footer_style
    ))

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


build_pdf()
Running Command

python /tmp/workspace/dlc-pdf/create_dlc_pdf.py

Running Command

ls -lh /tmp/workspace/dlc-pdf/

PDF generated successfully (16 KB). Let me mark the task complete.Your PDF is ready:

DLC Count Increase Decrease

PDF Document · PDF


What's inside the PDF:
The PDF is structured in two clearly separated sections on A4 pages:
Section 1 - ▲ INCREASED DLC (Leukocytosis by Cell Type)
CellKey Causes
NeutrophiliaPyogenic infections, tissue necrosis (MI/burns), corticosteroids, CML, DKA
EosinophiliaAllergy/asthma, parasitic infections (tissue-invasive), Hodgkin lymphoma, Churg-Strauss
BasophiliaCML (hallmark), polycythemia vera, hypothyroidism, allergic reactions
MonocytosisTB, SBE, rickettsia, SLE, IBD, sarcoidosis, CMML
LymphocytosisEBV (atypical lymphos), CLL (adults), pertussis, HIV, ALL
Section 2 - ▼ DECREASED DLC (Leukopenia by Cell Type)
CellKey Causes
NeutropeniaDrugs (clozapine, carbimazole), aplastic anaemia, viral infections, Felty syndrome
EosinopeniaCushing syndrome, corticosteroids, acute stress/infection
BasopeniaHyperthyroidism (classic), glucocorticoids, acute stress
MonocytopeniaHairy cell leukemia (hallmark), aplastic anaemia, chemotherapy
LymphopeniaHIV/AIDS, corticosteroids, SCID/DiGeorge, COVID-19, radiotherapy
Each cell type card includes normal reference range, causes grouped by category, and a clinical note/mnemonic. Sources: Robbins Pathology, Henry's Clinical Diagnosis, and Textbook of Family Medicine.
This is a shared conversation. Sign in to Orris to start your own chat.