Evidence map›Paper›PMID 38306316›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

National Hospitalization Rates and In-Hospital Mortality Rates of HIV-Related Opportunistic Infections in the United States, 2011-2018.

Catherine Bielick, Andrew Strumpf, Soutik Ghosal, Tim McMurry, Kathleen A McManus

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. HIV disease in the ICU: an evolving challenge.Proceedings (Baylor University. Medical Center) · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Evolving Disease Spectrum and Characteristics of People with HIV in Eastern China: A 12-Year Study.Mediterranean journal of hematology and infectious diseases · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
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

5 authors.

Catherine BielickDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-1871-3909
Andrew StrumpfDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA.
Soutik GhosalDivision of Biostatistics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
Tim McMurryIndependent scholar, Albany, CA, USA.
Kathleen A McManusDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA.

Funding

INFECTIOUS DISEASES TRAINING PROGRAMT32AI007046 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Alison K Criss, William A Petri · 1985 to 2026
$15.3M
Viral Suppression for People with HIV with Low Incomes: Study of Disparities, Health Equity, and Best PracticesR01AI170093 · NIAID · UNIVERSITY OF VIRGINIA · PI Kathleen Ann McManus · 2023 to 2026
$2.9M
Deconstructing HIV Disparities: Multistate Study of Data, Outcomes and MediatorsK08AI136644 · NIAID · UNIVERSITY OF VIRGINIA · PI MCMANUS, KATHLEEN ANN · 2018 to 2022
$1.0M
National Institute of Allergy and Infectious DiseasesNIAID NIH HHS K08 AI136644NIAID NIH HHS R01 AI170093NIAID NIH HHS T32 AI007046NIH HHS T32 AI007046
6 · The paper itself

Abstract

backgroundHuman immunodeficiency virus (HIV)-related opportunistic infections (OIs) cause substantial morbidity and mortality among people with HIV (PWH). US hospitalization and in-hospital mortality rates associated with OIs have not been published using data from the past decade.

methodsWe analyzed the National Inpatient Sample for the years 2011 through 2018. We used sociodemographic, financial, and hospital-level variables and identified hospitalizations for PWH and OI diagnoses. Using survey-weighted methods, we estimated all OI-related US hospitalization rates and in-hospital mortality per 100 000 PWH and modeled associated factors using survey-based multivariable logistic regression techniques.

resultsFrom 2011 to 2018, there were an estimated 1 710 164 (95% confidence interval [CI], 1 659 566-1 760 762) hospital discharges for PWH with 154 430 (95% CI, 148 669-159 717 [9.2%]) associated with an OI, of which 9336 (95% CI, 8813-9857; 6.0%) resulted in in-hospital mortality. Variables associated with higher odds of OI-related hospitalizations (compared to without an OI) included younger age, male sex, non-White race/ethnicity, and being uninsured (all likelihood ratio [LR] P < .001). Higher OI-related mortality was associated with older age (LR P < .001), male sex (LR P = .001), Hispanic race/ethnicity (LR P < .001), and being uninsured (LR P = .009). The OI-related hospitalization rate fell from 2725.3 (95% CI, 2266.9-3183.7) per 100 000 PWH in 2011 to 1647.3 (95% CI, 1492.5-1802.1) in 2018 (P < .001), but the proportion of hospitalizations with mortality was stable (5.9% in 2011 and 2018).

conclusionsOur findings indicate an ongoing need for continued funding of HIV testing, health insurance for all PWH, OI screening initiatives, review of current prophylaxis guidelines, and recruitment of more HIV clinicians.

Indexed as

AIDS-Related Opportunistic InfectionsHospitalizationHospital MortalityAdolescentAdultAgedFemaleHIV InfectionsHumansMaleMiddle AgedRisk FactorsUnited StatesYoung Adultcost burdenhealth disparitiesHIVmortalityopportunistic infections

Identifiers

PMID38306316
PMCPMC11327786

What OpenQuestion holds

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Registered trials

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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.