Evidence map›Paper›PMID 38789003›Full record

ArticleBrazilian journal of anesthesiology (Elsevier)

Postoperative intensive care allocation and mortality in high-risk surgical patients: evidence from a low- and middle-income country cohort.

Adriene Stahlschmidt, Sávio Cavalcante Passos, Guilherme Roloff Cardoso, Gabriela Jungblut Schuh, Paulo Corrêa da Silva Neto, Stela Maris de Jezus Castro, Luciana Cadore Stefani

Registry-linked trialAbstract read
In one paragraph

Article in Brazilian journal of anesthesiology (Elsevier). The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06731296 (Characteristics of General Surgery Patients Admitted to the Intensive Care Unit, Villavicencio, 2022-2024.), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06731296 not yet recruitingnot on this map

Characteristics of General Surgery Patients Admitted to the Intensive Care Unit, Villavicencio, 2022-2024.

TypeobservationalSponsorHospital Departamental de VillavicencioRan2026 to 2029Enrolled1,000ConditionsCritical Illness, Postoperative ComplicationsArmsPresence of a risk factor
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Adriene StahlschmidtUniversidade Federal do Rio Grande do Sul (UFRGS), Faculdade de Medicina, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil; Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil. Electronic address: astahlschmidt@hcpa.edu.br.
Sávio Cavalcante PassosUniversidade Federal do Rio Grande do Sul (UFRGS), Faculdade de Medicina, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil; Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil. Electronic address: scpassos@hcpa.edu.br.
Guilherme Roloff CardosoHospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil. Electronic address: gui.roloffcardoso@gmail.com.
Gabriela Jungblut SchuhHospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil. Electronic address: gschuh@hcpa.edu.br.
Paulo Corrêa da Silva NetoUniversidade Federal do Rio Grande do Sul (UFRGS), Faculdade de Medicina, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil. Electronic address: paulo.neto84@gmail.com.
Stela Maris de Jezus CastroUniversidade Federal do Rio Grande do Sul (UFRGS), Departamento de Estatística, Porto Alegre, RS, Brazil. Electronic address: stelacastro@hcpa.edu.br.
Luciana Cadore StefaniUniversidade Federal do Rio Grande do Sul (UFRGS), Faculdade de Medicina, Departamento de Cirurgia, Porto Alegre, RS, Brazil. Electronic address: lpstefani@hcpa.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe escalation of surgeries for high-risk patients in Low- and Middle-Income Countries (LMICs) lacks evidence on the positive impact of Intensive Care Unit (ICU) admission and lacks universal criteria for allocation. This study explores the link between postoperative ICU allocation and mortality in high-risk patients within a LMIC. Additionally, it assesses the Ex-Care risk model's utility in guiding postoperative allocation decisions.

methodsA secondary analysis was conducted in a cohort of high-risk surgical patients from a 800-bed university-affiliated teaching hospital in Southern Brazil (July 2017 to January 2020). Inclusion criteria encompassed 1431 inpatients with Ex-Care Model-assessed all-cause postoperative 30-day mortality risk exceeding 5%. The study compared 30-day mortality outcomes between those allocated to the ICU and the Postanesthetic Care Unit (PACU). Outcomes were also assessed based on Ex-Care risk model classes.

resultsAmong 1431 high-risk patients, 250 (17.47%) were directed to the ICU, resulting in 28% in-hospital 30-day mortality, compared to 8.9% in the PACU. However, ICU allocation showed no independent effect on mortality (RR = 0.91; 95% CI 0.68‒1.20). Patients in the highest Ex-Care risk class (Class IV) exhibited a substantial association with mortality (RR = 2.11; 95% CI 1.54-2.90) and were more frequently admitted to the ICU (23.3% vs. 13.1%).

conclusionPatients in the highest Ex-Care risk class and those with complications faced elevated mortality risk, irrespective of allocation. Addressing the unmet need for adaptable postoperative care for high-risk patients outside the ICU is crucial in LMICs. Further research is essential to refine criteria and elucidate the utility of risk assessment tools like the Ex-Care model in assisting allocation decisions.

Indexed as

Critical CareHospital MortalityIntensive Care UnitsAdultAgedBrazilCohort StudiesDeveloping CountriesFemaleHumansMaleMiddle AgedPostoperative CarePostoperative ComplicationsIn-hospital mortalityOperativePostoperative Complications/prevention & controlResources allocationRisk factorsSurgical intensive careSurgical procedures

Identifiers

PMID38789003
PMCPMC11214989

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Registered trials

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.