Clinical importance of cerebrospinal fluid protein levels in HIV-associated cryptococcal meningitis: Insights from a prospective cohort study in Uganda
Bibliographic record
Abstract
Cerebrospinal fluid (CSF) protein levels exhibit high variability in HIV-associated cryptococcal meningitis; however, its clinical implications remain unclear. We analyzed data from 890 adults with HIV-associated cryptococcal meningitis randomized into two clinical trials in Uganda between 2015 and 2021. CSF protein was grouped into < 100 mg/dl (72%, n = 641) and ≥ 100 mg/dl (28%, n = 249). We described baseline clinical variables and 18-week mortality by CSF protein groups. Those with CSF protein ≥ 100 mg/dl were more likely to present with Glasgow coma scale score < 15 (P < .01), self-reported seizures at baseline (P = .02), higher CD4 T-cell count (P < .001), and higher CSF white blood cells (P < .001). Moreover, those with a baseline CSF protein ≥ 100 mg/dl also had a lower baseline CSF fungal burden (P < .001) and a higher percentage of sterile CSF cultures at day 14 (P = .02). Individuals with CSF protein ≥ 100 mg/dl demonstrated a more pronounced immune response consisting of upregulation of immune effector molecules, pro-inflammatory cytokines, T-helper cell type 1 and 17 cytokines, and immune-exhaustion marker (P < .05). 18-week mortality risk in individuals with a CSF protein < 100 mg/dl was 34% higher (unadjusted Hazard Ratio 1.34; 95% Confidence Interval, 1.05-1.70; P = .02) than those with CSF protein ≥ 100 mg/dl. In HIV-associated cryptococcal meningitis, individuals with baseline CSF protein ≥ 100 mg/dl more frequently presented with neurological symptoms, higher CSF inflammatory cytokines, reduced fungal burden, and lower mortality risk. The findings underscore the prognostic significance of baseline CSF protein levels in predicting disease severity and mortality risk in cryptococcal meningitis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".