Evidence map›Paper›PMID 41676084›Full record

ArticleOpen forum infectious diseases2026

Headache as a Predictor of Cryptococcal Meningitis in Ambulatory Patients With Symptomatic HIV-associated Cryptococcal Antigenemia.

Sarah M Najjuka, Alexandra Poeschla, Abduljewad Wele, Elizabeth Nalintya, Paul Kirumira, Peruth Ayebale, Grace Nakitto, Fred Turya, Lydia Nankungu, Caleb P Skipper and 5 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sarah M NajjukaInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.ORCID https://orcid.org/0000-0003-2020-7941
Alexandra PoeschlaDivision of Infectious Diseases & International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Abduljewad WeleDivision of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MinnesotaUSA.
Elizabeth NalintyaInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.ORCID https://orcid.org/0000-0001-9428-1066
Paul KirumiraInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.ORCID https://orcid.org/0009-0001-8414-8728
Peruth AyebaleInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.
Grace NakittoInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.
Fred TuryaInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.
Lydia NankunguInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.
Caleb P SkipperDivision of Infectious Diseases & International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-0000-8876
Ann FiebergDivision of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MinnesotaUSA.
Biyue DaiDivision of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MinnesotaUSA.ORCID https://orcid.org/0000-0002-4747-3687
David R BoulwareDivision of Infectious Diseases & International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-4715-0060
David B MeyaInfectious Diseases Institute, College of Health Sciences, Makerere University, KampalaUganda.ORCID https://orcid.org/0000-0002-8854-0321
Radha RajasinghamDivision of Infectious Diseases & International Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-5531-0231

Funding

Enhanced Antifungal Therapy to Improve Survival in Early Disseminated Cryptococcal InfectionU01AI174978 · NIAID · UNIVERSITY OF MINNESOTA · PI Radha Rajasingham · 2023 to 2026
$2.6M
Impact of longitudinal CMV viremia on opportunistic neuroinfections in advanced HIV diseaseK23NS137968 · NINDS · UNIVERSITY OF MINNESOTA · PI Caleb P Skipper · 2024 to 2026
$718k
NIAID NIH HHS L30 AI154580NIAID NIH HHS U01 AI174978NINDS NIH HHS K23 NS137968
6 · The paper itself

Abstract

Background: People with HIV-associated cryptococcal antigenemia are at high risk for meningitis and death. In resource-limited settings, lumbar puncture to evaluate for meningitis is infrequently performed in asymptomatic individuals; therefore, symptomatic individuals are prioritized. We evaluated the predictive value of meningeal symptoms for cryptococcal meningitis in people with cryptococcal antigenemia. Methods: We conducted a secondary analysis from 3 randomized clinical trials conducted in Uganda between 2017 and 2024. We included adults with meningeal symptoms who had cerebrospinal fluid cryptococcal antigen (CrAg) testing performed. Logistic regressions and classification trees were used to determine the associations between meningeal symptoms and meningitis. Area under the receiver operating characteristic curve (AUROC) and misclassification rate were used to evaluate model performance. Results: Among 344 participants, median CrAg titer was 1:1280 (interquartile ratio, 1:100-1:2560). Overall, 285 (83%) presented with headache and 205 (60%) participants had meningitis. Presence of headache was associated with meningitis (adjusted odds ratio 11.7; 95% confidence interval [CI], 5.23-28.50). The AUROC of headache alone to predict meningitis was 0.65 (95% CI, 0.61-0.69), with 95% sensitivity and 35% specificity. The AUROC improved to 0.86 (95% CI, 0.82-0.90) when stiff neck, photophobia, confusion, sex, and CrAg titer ≥1:160 were added to the logistic regression model. In the final classification tree, headache combined with CrAg titer ≥1:160 demonstrated the highest probability (79%) of meningitis. Conclusions: Headache and high CrAg titer is the most reliable predictor for meningitis. In the absence of plasma CrAg titration, symptoms of headache, stiff neck, photophobia, and confusion predict meningitis for individuals with cryptococcal antigenemia.

Indexed as

advanced HIV diseasecryptococcal antigenemiacryptococcosis

Identifiers

PMID41676084
PMCPMC12888811

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.