Association of HIV infection and hospitalization among mpox cases: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Mpox is a viral zoonotic disease that has seen a resurgence in recent years, with outbreaks reaching beyond its traditional endemic zones in Central and West Africa to parts of Europe and North America. The relationship between human immunodeficiency virus (HIV) infection and mpox outcomes, particularly hospitalization rates, remains underexplored despite the known immunosuppressive effects of HIV. This systematic review and meta-analysis aimed to clarify the association between HIV infection and the likelihood of hospitalization in mpox cases. METHODS: A literature search was conducted through PubMed, Embase, Web of Science, Scopus, and the Cochrane Library up until August 10, 2024. The eligibility criteria focused on observational studies that evaluated hospitalization rates among mpox cases, distinguishing between HIV-positive and HIV-negative individuals. Newcastle-Ottawa Scale was used for evaluating study quality. The meta-analysis used a random-effects model to accommodate expected study heterogeneity using R software (V. 4.4). RESULTS: The search yielded 686 records, with 14 studies meeting the inclusion and exclusion criteria after screenings and full-text assessments. The pooled analysis revealed a 56.6% increased risk of hospitalization among HIV-positive mpox cases compared to HIV-negative individuals (95% CI: 18.0-107.7%). Notable heterogeneity (I² = 76%) was observed, likely reflecting variations in study settings and methodologies. Sensitivity analysis confirmed the robustness of these findings, and no significant publication bias was detected (Egger's test p-value = 0.733). CONCLUSION: HIV infection is associated with a statistically significant increased risk of hospitalization in mpox cases. There is a critical need for integrated care and enhanced surveillance, especially in populations with high HIV prevalence. Our findings emphasize the importance of ongoing research to better understand HIV and mpox co-infection and to refine management strategies for this vulnerable group. Future studies should focus on long-term outcomes and the effectiveness of various management strategies across different healthcare settings.
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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) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".