Observational studyHIV medicine2026
Death after discharge among children living with HIV admitted with suspected sepsis in Uganda: A secondary analysis of two prospective observational studies.
Observational study in HIV medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChildren living with HIV in low-income countries contribute disproportionately to death after hospital discharge. This study investigates the effect of HIV on post-discharge mortality and readmission by exploring a wide range of clinical, maternal and socioeconomic variables.
methodsA secondary analysis of children under 5 years old admitted with suspected sepsis. Participants were enrolled from two multisite observational studies conducted from 2012 to 2013 and 2017 to 2020 across six hospitals in Uganda. Participants were excluded if admitted outside the catchment area, for trauma, short-term observation or if admitted immediately after birth without prior discharge. We used a robust Poisson regression to identify risk factors of post-discharge mortality for three separate HIV groups: children living with HIV (CLHIV), children HIV-exposed uninfected (CHEU) and children HIV-unexposed uninfected (CHUU). We implemented Kaplan Meier curves to compare rates of post-discharge mortality and readmission between the three groups. In addition, we compared the risk ratio of the two outcomes.
resultsOf the 7658 children who were discharged alive and completed the 6-month follow-up, 266 (3.5%) were CLHIV, 458 (6.0%) were CHEU and 6934 (90.6%) were CHUU. Post-discharge mortality was statistically significantly higher in CLHIV compared to the CHUU, with rates of 12.8% (34/266) and 5.8% (402/6934), respectively. Contrastingly, readmission was higher in CHUU (17.7% (1227/6934)) compared to CLHIV (11.3% (30/266)). Severe malnutrition, indicated by a weight-for-age z-score of less than -3, was associated with post-discharge mortality among all three groups with aRRs of 4.32 (95% CI: 1.89-9.81), 3.96 (95% CI: 1.75-8.95) and 4.84 (95% CI: 3.94-5.96) for CLHIV, CHEU and CHUU, respectively, compounded by the fact that severe malnutrition is disproportionately higher in those living with HIV. Variables associated with post-discharge mortality in this group were prior antimalarial use (aRR = 2.27 [95% CI: 1.16-4.47]) and moderate anaemia (aRR = 2.33 [95% CI: 1.12-4.89]).
conclusionsChildren living with HIV represent an exceptionally vulnerable group following hospital discharge. Very low readmission rates alongside high mortality suggest that strategies to improve care transitions and follow-up in these children are essential to improving recovery and survival.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.