Tell me the findings
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How to interpret medical laboratory report findings patient safety official health information
python -c "import pdfplumber; p='/tmp/workspace/attachments/5f8ead62-1e5a-42e6-8448-d57d3b4c817e/report-ZAMIN-ZAHOOR--161920-977890449.pdf'; pdf=pdfplumber.open(p); print('PAGES',len(pdf.pages)); [print('\\n--- PAGE',i+1,'---\\n',page.extract_text() or '[NO EXTRACTABLE TEXT]') for i,page in enumerate(pdf.pages)]"
mkdir -p "/tmp/workspace/report-review/rendered" && python -c "import fitz; p='/tmp/workspace/attachments/5f8ead62-1e5a-42e6-8448-d57d3b4c817e/report-ZAMIN-ZAHOOR--161920-977890449.pdf'; d=fitz.open(p); [(page.get_pixmap(matrix=fitz.Matrix(2,2),alpha=False).save(f'/tmp/workspace/report-review/rendered/page_{i+1}.png')) for i,page in enumerate(d)]; print('Rendered',len(d),'pages')"
python -c "from pypdf import PdfReader; from pathlib import Path; p=Path('/tmp/workspace/attachments/5f8ead62-1e5a-42e6-8448-d57d3b4c817e/report-ZAMIN-ZAHOOR--161920-977890449.pdf'); out=Path('/tmp/workspace/report-review/rendered'); out.mkdir(parents=True,exist_ok=True); r=PdfReader(str(p)); n=0; print('pages',len(r.pages)); for i,page in enumerate(r.pages): ims=list(page.images); print(i+1,len(ims)); for j,im in enumerate(ims): ext=im.name.rsplit('.',1)[-1] if '.' in im.name else 'bin'; f=out/f'page_{i+1}_image_{j+1}.{ext}'; f.write_bytes(im.data); print(f, len(im.data)); n+=1 print('images',n)"
python -c "from PIL import Image; from pathlib import Path; p=Path('/tmp/workspace/report-review/rendered'); for f in sorted(p.glob('page_1*')): im=Image.open(f); print(f.name,im.size,im.mode)"
python -c "import importlib.util; print('pytesseract',bool(importlib.util.find_spec('pytesseract'))); print('easyocr',bool(importlib.util.find_spec('easyocr'))); print('cv2',bool(importlib.util.find_spec('cv2')))"
which tesseract || true; python -c "import importlib.util; print('keras_ocr',bool(importlib.util.find_spec('keras_ocr'))); print('transformers',bool(importlib.util.find_spec('transformers'))); print('paddleocr',bool(importlib.util.find_spec('paddleocr')))"
pip install --user rapidocr_onnxruntime -q
mkdir -p "/tmp/workspace/report-review/python-deps" && pip install --target "/tmp/workspace/report-review/python-deps" rapidocr_onnxruntime -q
PYTHONPATH="/tmp/workspace/report-review/python-deps" python -c "from rapidocr_onnxruntime import RapidOCR; from pathlib import Path; o=RapidOCR(); p=Path('/tmp/workspace/report-review/rendered'); files=[p/f'page_1_image_{i}.jpg' for i in range(1,8)]; for f in files: r,el=o(str(f)); print('\\n###',f.name,'###'); print('\\n'.join(x[1] for x in (r or [])))"
neutrophilia AND adults
Overall
Findings needing attention
-
Mildly raised neutrophils
- Neutrophils: 74.3% (lab range 40-70%)
- Absolute neutrophil count: 7.54 thousand/mm³ (lab range 2.0-7.0)
- Total WBC: 10.15 thousand/mm³, still within range.
This is a mild neutrophilia. It commonly occurs temporarily with a recent or current infection, inflammation, physical stress, smoking, strenuous exercise, or some medicines. By itself, and with a normal total WBC and otherwise normal CBC, it is usually not alarming. If you have fever, cough, sore throat, urinary symptoms, dental infection, or other symptoms, see a clinician. If well, a repeat CBC can be discussed if it persists. -
HDL cholesterol is slightly low
- HDL, the "good" cholesterol: 32 mg/dL
- Lab reference: low if <35 mg/dL
- Total cholesterol: 115.6 mg/dL, good
- LDL: 68.4 mg/dL, good
- Triglycerides: 76 mg/dL, good
- Cholesterol/HDL ratio: 3.6, low-risk range in this report.
The rest of your lipid profile is favorable, but increasing HDL can be supported by regular aerobic exercise, maintaining a healthy weight, avoiding smoking/tobacco, and choosing unsaturated fats such as nuts, seeds, olive/mustard oil, and fish. Do not start medication solely to raise HDL without clinician advice.
Normal results
| Test group | Result summary |
|---|---|
| Fasting glucose | 97.3 mg/dL - normal |
| HbA1c | 5.2% - normal, not in prediabetes/diabetes range |
| Hemoglobin | 13.2 g/dL - normal |
| Red-cell indices / platelets | Normal |
| Liver function | Bilirubin, AST 17.9, ALT 18, proteins and alkaline phosphatase all normal |
| Kidney function | Urea, BUN, creatinine 1.12, uric acid, sodium, potassium, chloride, calcium and phosphate normal |
| Thyroid function | T3 1.20, T4 9.87, TSH 1.03 - normal thyroid profile |
| ESR | 8 mm/hour - normal |