Evidence map›Paper›PMID 41794837›Full record

Observational studyCritical care (London, England)2026

Adverse events as key risk factors for in-hospital mortality in intensive care units.

M Roncal-Redín, D San Jose-Saras, C Díaz-Agero Pérez, J Vicente-Guijarro, P Moreno-Nunez, B Peñalver-Argüeso, J M Aranaz-Andres, ESHMAD director group, external advisers

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

M Roncal-RedínPreventive Medicine and Public Health Service, Ramón y Cajal University Hospital. IRYCIS, Ctra. de Colmenar Viejo, km. 9,100, Madrid, 28034, Spain.
D San Jose-SarasPreventive Medicine and Public Health Service, Ramón y Cajal University Hospital. IRYCIS, Ctra. de Colmenar Viejo, km. 9,100, Madrid, 28034, Spain. diego.sanjose@salud.madrid.org.
C Díaz-Agero PérezPreventive Medicine and Public Health Service, Ramón y Cajal University Hospital. IRYCIS, Ctra. de Colmenar Viejo, km. 9,100, Madrid, 28034, Spain.
J Vicente-GuijarroFaculty of Health Sciences, International University of La Rioja (International University of La Rioja), La Rioja, Logroño, 26006, Spain.
P Moreno-NunezPreventive Medicine and Public Health Service, Ramón y Cajal University Hospital. IRYCIS, Ctra. de Colmenar Viejo, km. 9,100, Madrid, 28034, Spain.
B Peñalver-ArgüesoPreventive Medicine and Public Health Service, Ramón y Cajal University Hospital. IRYCIS, Ctra. de Colmenar Viejo, km. 9,100, Madrid, 28034, Spain.
J M Aranaz-AndresFaculty of Health Sciences, International University of La Rioja (International University of La Rioja), La Rioja, Logroño, 26006, Spain.
ESHMAD director group, external advisers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntensive care units (ICUs) represent high-risk environments for adverse events (AEs). Preventing these events requires a solid understanding of their epidemiology based on standardized and validated methodologies. The aim of this study was to quantify AEs using the established Harvard Medical Practice Study (HMPS) methodology, identify associated factors, and analyze their prognostic impact on critically ill patients. MATERIALS AND

methodsA multicenter observational study with a cross-sectional design was conducted in 26 hospitals across the Community of Madrid on a single, specified day in May 2019. Following the HMPS methodology and using its standardized instruments, clinical records were reviewed in two phases: (1) an AE screening phase and (2) a confirmation and characterization phase for cases with positive screenings. A multivariate logistic regression model was developed to identify variables associated with the presence of AEs, and the association between AEs and in-hospital mortality was assessed using an explanatory model adjusted for potential confounders.

resultsA total of 458 patients were included, of whom 125 (27.3%; 95% CI: 23.4 to 31.6) had ≥1 AE. The following antecedents were associated with the presence of AEs: pressure ulcer (PU), hypoalbuminemia, mechanical ventilation, central venous catheter, surgical intervention and sensory deficit. Among the AEs found, 44.6% were health care-associated infections (HAIs). In-hospital mortality among patients with AEs was twice that observed in patients without AEs (OR: 2.15; 95% CI: 1.10–4.25).

conclusionsThe presence of AEs was associated with a two-fold higher risk of in-hospital mortality. Among the identified AEs, HAIs were the most frequent and had the highest mortality. Designing and implementing bundles of measures adapted to the individual risk of presenting AEs in the ICU emerges as the next step in the development of strategies to reduce the prevalence of AEs.

Indexed as

Hospital MortalityAgedCritical IllnessCross-Sectional StudiesFemaleHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedRisk FactorsSpain

Identifiers

PMID41794837
PMCPMC13081351

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.