MétaCan
Menu
Back to cohort
Record W2987505757 · doi:10.1093/ofid/ofz478

Seizures in Human Immunodeficiency Virus-Associated Cryptococcal Meningitis: Predictors and Outcomes

2019· article· en· W2987505757 on OpenAlexfundno aff
Katelyn A Pastick, Ananta Bangdiwala, Mahsa Abassi, Andrew Flynn, Bożena M Morawski, Abdu K Musubire, Prosperity Eneh, Charlotte Schutz, Kabanda Taseera, Joshua Rhein, Kathy Huppler Hullsiek, Melanie R. Nicol, José Ernesto Vidal, Noeline Nakasujja, Graeme Meintjes, Conrad Muzoora, David B. Meya, David R. Boulware

Bibliographic record

VenueOpen Forum Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesGrand Challenges CanadaFogarty International CenterUniversity of MinnesotaMedical Research CouncilDoris Duke Charitable Foundation
KeywordsMedicineCryptococcal meningitisHuman immunodeficiency virus (HIV)MeningitisVirologyImmunologyPediatricsViral disease

Abstract

fetched live from OpenAlex

Abstract Background Seizures commonly occur in patients with cryptococcal meningitis, yet risk factors and outcomes related to seizures are not well described. Methods We performed post hoc analyses on participants prospectively enrolled in 3 separate human immunodeficiency virus (HIV)-associated cryptococcal meningitis clinical trials during 2010–2017. Documentation of seizures at presentation or during hospitalization and antiseizure medication receipt identified participants with seizures. We summarized participant characteristics by seizure status via Kruskal-Wallis and χ 2 tests. Cox proportional hazards models analyzed the relationship between seizures and mortality. We compared mean quantitative neurocognitive performance Z (QNPZ-8) scores, and individual domain z-scores, at 3-months using independent t tests. Results Among 821 HIV-infected cryptococcal meningitis participants, 28% (231 of 821) experienced seizures: 15.5% (127 of 821) experienced seizures at presentation, and 12.7% (104 of 821) experienced incident seizures. Participants with seizures at presentation had a significantly lower Glasgow coma scale ([GCS] <15; P < .001), CD4 count (<50 cells/mcL; P = .02), and higher cerebrospinal fluid (CSF) opening pressure (>25 cm H2O; P = .004) when compared with participants who never experienced seizures. Cerebrospinal fluid fungal burden was higher among those with seizures at presentation (125 000 Cryptococcus colony-forming units [CFU]/mL CSF) and with seizures during follow-up (92 000 CFU/mL) compared with those who never experienced seizures (36 000 CFU/mL, P < .001). Seizures were associated with increased 10-week mortality (adjusted hazard ratio = 1.45; 95% confidence interval, 1.11–1.89). Participants with seizures had lower neurocognitive function at 3 months (QNPZ-8 = −1.87) compared with those without seizures (QNPZ-8 = −1.36; P < .001). Conclusions Seizures were common in this HIV-associated cryptococcal meningitis cohort and were associated with decreased survival and neurocognitive function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.290
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOpen Forum Infectious DiseasesSame topicFungal Infections and StudiesFrench-language works237,207