Evidence map›Paper›PMID 36123430›Full record

ArticleScientific reports2022

Mortality in patients with acquired human immunodeficiency virus infection hospitalized in an intensive care unit during the period 2017-2019.

Guillermo Ortiz Ruiz, Carlos Felipe López Herrera, Jorge Andrés Mahecha Bohórquez, John Edison Betancur

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Coinfections and In-Hospital Mortality in a Group of Patients With HIV/AIDS: A Longitudinal Study.Inquiry : a journal of medical care organization, provision and financing
    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

4 authors.

Guillermo Ortiz RuizCritical Medicine and Intensive Care and Pulmonology, Universidad del Bosque, Bogotá, Colombia.
Carlos Felipe López HerreraEl Bosque University, Bogotá, Colombia.
Jorge Andrés Mahecha BohórquezCritical Medicine and Intensive Care, Hospital Santa Clara, Bogotá, Colombia. jamboj3@hotmail.com.
John Edison BetancurEl Bosque University, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identify risk factors associated with mortality in HIV patients admitted to an ICU in the city of Bogotá. Retrospective cohort study of patients treated in an ICU during the years 2017-2019. The analysis included descriptive statistics, association tests, and a logistic regression model. A predictive model of mortality at the time of admission to the ICU was developed. 110 HIV patients were identified. Association was found between a Charlson index ≥ 6 and mortality (OR = 2.3, 95% CI 1.0-5.1) and an increase in mortality in the first 21 days of ICU stay (OR = 2.2, 95% CI 1.0-4.9). In the logistic regression analysis, the absence of highly active antiretroviral therapy (HAART) upon admission to the ICU (OR = 2.5 95% CI 1.0-6.1) and the first 21 days of ICU stay (OR = 2.3 95% CI 1.0-5.4) were associated with an increase in mortality. The predictive mortality model established that mortality was higher in patients admitted to the ICU without having previously received HAART than in those who did receive therapy at the time of admission to the ICU. In patients with HIV admitted to the ICU, the absence of HAART will negatively impact mortality during their hospital stay.

Indexed as

HIV InfectionsHospital MortalityHumansIntensive Care UnitsRetrospective StudiesTreatment Outcome

Identifiers

PMID36123430
PMCPMC9483872

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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.