Evidence map›Paper›PMID 38982348›Full record

ArticleBMC infectious diseases2024

One-year survival of patients admitted for sepsis to intensive care units in Colombia.

Henry Oliveros, Eduardo Tuta-Quintero, Mariana Piñeros, Alexander Guesguan, Luis F Reyes

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Henry OliverosSchool of Medicine, Universidad de La Sabana, Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia. henry.oliveros@unisabana.edu.co.ORCID http://orcid.org/0000-0002-7632-906X
Eduardo Tuta-QuinteroSchool of Medicine, Universidad de La Sabana, Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Mariana PiñerosCentro Quirúrgico de La Sabana, Bogotá, Colombia.
Alexander GuesguanSchool of Medicine, Universidad de La Sabana, Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Luis F ReyesSchool of Medicine, Universidad de La Sabana, Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.

Funding

Universidad de La Sabana MEDMSc-70-2023
6 · The paper itself

Abstract

backgroundSepsis is a frequent cause of admission to intensive care units (ICUs). High mortality rates are estimated globally, and in our country, few studies have reported one-year survival. The objective of this study is to determine one-year survival in patients with sepsis admitted to the ICU in Colombia, compared with the survival of patients admitted for other conditions.

methodsRetrospective cohort study using administrative databases from the Ministry of Health of Colombia. One-year survival and the adjusted hazard ratio for survival, adjusted for comorbidities included in the Charlson Index, were determined using a Cox proportional hazards model for patients admitted for other causes as well as for those admitted for sepsis. This was then compared with an inverse propensity score weighting model.

resultsA total of 116.407 patients were initially admitted to the ICUs, with 12.056 (10.36%) diagnosed with sepsis. Within the first year, 4.428 (36.73%) patients died due to sepsis. Age and male gender were associated with an increased risk of death from sepsis, and the covariates associated with one-year mortality were as follows: age over 80 years with HR 9.91 (95% CI: 9.22-10.65), renal disease with HR 3.16 (95% CI: 3.03-3.29), primary tumoral disease with HR 2.07 (95% CI: 1.92-2.23), liver disease with HR 2.27 (95% CI: 2.07-2.50), and metastatic solid tumor with HR 2.03 (95% CI: 1.92-2.15).

conclusionThis study revealed a high one-year sepsis mortality rate in the population, associated with variables such as age over 80 years, the presence of renal disease, liver disease, connective tissue diseases, and cancer. Men exhibited higher mortality compared to women.

Indexed as

Intensive Care UnitsSepsisAdultAgedAged, 80 and overColombiaFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsSurvival AnalysisCritical careIntensive careMortalitySepsis

Identifiers

PMID38982348
PMCPMC11232145

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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.