Stroke transcranial Doppler in children with human immunodeficiency virus
Bibliographic record
Abstract
AIMS: To describe stroke syndromes and transcranial Doppler (TCD) findings in children with human immunodeficiency virus (HIV) and examine the associations between TCD and clinical and laboratory data. METHOD: We enrolled 42 children (24 males, 18 females) with HIV (median age=7y 6mo; 2y 7mo-15y 6mo), with and without stroke who underwent a TCD examination of the anterior and posterior circulations to derive time-averaged maximum mean velocity (TAMMV) measurements for comparison with previous studies. Clinical and laboratory variables were extracted from the medical records. RESULTS: Of the 42 children with HIV, five had right-sided hemiparesis, three had chronic lung disease, two occurred post-varicella infection, one after herpetic oral ulceration, and one had a poorly functioning left ventricle. Neuroimaging showed middle cerebral artery (MCA) TAMMV greater than 200cm/s, moyamoya-like arteriopathy, left basal ganglia infarction with ipsilateral stenosis, hygroma consistent with venous thrombosis, and a hyperdense left MCA. Eight neurologically asymptomatic children had atypical TCD. The CD4 cell count was non-significantly lower in 6 out of 30 children with atypical TCD (median=21.5; interquartile range=16.1-26.5) compared with the remainder (median=29; interquartile range=21.3-35.0; p=0.09). INTERPRETATION: A variety of stroke syndromes occur in children with HIV. TCD suggests atypical intracranial vessels and/or haemodynamics in some children with HIV infection, consistent with vasculopathy, possibly related directly to immunodeficiency and/or infection. WHAT THIS PAPER ADDS: A range of stroke syndromes are found in children with human immunodeficiency virus (HIV). Transcranial Doppler (TCD) velocities in HIV are commonly outside the range for typically developing children. TCD and neuroimaging data in children with HIV suggest intracranial vasculopathy as one mechanism for stroke. CD4 cell count is non-significantly lower in children with HIV and atypical TCD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".