Therapeutic Lumbar Punctures in Human Immunodeficiency Virus–Associated Cryptococcal Meningitis: Should Opening Pressure Direct Management?
Bibliographic record
Abstract
Abstract Background Increased intracranial pressure (ICP) frequently complicates cryptococcal meningitis. Therapeutic lumbar punctures (LPs) have acute survival benefits in the first week, and we sought to understand the longer-term survival impact of therapeutic LPs. Methods We prospectively enrolled human immunodeficiency virus (HIV)–seropositive adults with cryptococcal meningitis from 2013 to 2017 in Uganda. We assessed the association between clinical characteristics, CSF parameters, and 14- and 30-day mortality by baseline ICP. We also assessed 30-day mortality by number of follow-up therapeutic LPs performed within 7 days. Results Our analysis included 533 participants. Participants with baseline ICP >350 mm H2O were more likely to have Glasgow Coma Scale (GCS) score <15 (P < .001), seizures (P < .01), and higher quantitative cryptococcal cultures (P < .001), whereas participants with ICP <200 mm H2O were more likely to have baseline sterile CSF cultures (P < .001) and CSF white blood cell count ≥5 cells/µL (P = .02). Thirty-day mortality was higher in participants with baseline ICP >350 mm H2O and ICP <200 mm H2O as compared with baseline ICP 200–350 mm H2O (hazard ratio, 1.55 [95% confidence interval, 1.10–2.19]; P = .02). Among survivors at least 7 days, the 30-day relative mortality was 50% higher among participants who did not receive any additional therapeutic LPs compared to those with ≥1 additional follow-up LP (33% vs 22%; P = .04), irrespective of baseline ICP. Conclusions Management of increased ICP remains crucial in improving clinical outcomes in cryptococcal meningitis. Guidelines should consider an approach to therapeutic LPs that is not dictated by baseline ICP.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".