Evidence map›Paper›PMID 41908571›Full record

ArticleCureus2026

Prognostic Factors for Mortality in ICU Patients With Healthcare-Associated Infections: A Five-Year Institutional Analysis.

Arif Timuroglu, Burcu Caliskan Demirkiran

Abstract read
In one paragraph

Article in Cureus, 2026. 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Arif TimurogluAnesthesiology and Reanimation, Dr. Abdurrahman Yurtaslan Ankara Oncology Hospital, Ankara, TUR.
Burcu Caliskan DemirkiranInfectious Diseases, Dr. Abdurrahman Yurtaslan Ankara Oncology Hospital, Ankara, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Healthcare-associated infections (HAIs) represent a major challenge in intensive care units (ICUs), leading to increased morbidity, prolonged hospitalization, and high mortality. Critically ill oncology patients are particularly vulnerable because of immunosuppression and frequent exposure to invasive devices. Objective This study aims to describe the epidemiology and microbiological profile of HAIs among oncology ICU patients over a five-year period and to identify independent risk factors for ICU mortality using multivariable analysis. Methods We conducted a single-center retrospective cohort study in the anesthesiology ICU of a tertiary oncology hospital between January 1, 2020, and December 31, 2024. Among 1,766 ICU admissions, 259 adult patients who developed at least one HAI (343 episodes in total) and met the inclusion criteria were analyzed. Data on demographics, comorbidities, infection characteristics, microbiology, and outcomes were retrieved from the hospital infection control surveillance system and medical records. Comparative analyses between survivors and non‑survivors were performed, and a parsimonious multivariable logistic regression model was constructed to identify independent predictors of ICU mortality. Model performance was assessed by the area under the receiver operating characteristic (ROC) curve (AUC) and the Hosmer-Lemeshow test. Results The median ICU length of stay (LOS) was 29 days (interquartile range (IQR): 17-49), and ICU mortality was 81.1% (n = 210). Pneumonia (including ventilator‑associated and hospital‑acquired pneumonia) was the most common HAI (45.1%, n = 117), followed by central line‑associated bloodstream infection (CLABSI) (35.1%, n = 91) and catheter‑associated urinary tract infection (CAUTI) (11.6%, n = 30).

Indexed as

central line-associated bloodstream infectioncritical carehealthcare-associated infectionsoncology intensive careurinary tract infectionsventilator-associated pneumonia

Identifiers

PMID41908571
PMCPMC13018721

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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.