Evidence map›Paper›PMID 42700083›Full record

ArticleMedicine2026

Association between anion gap and mortality in critically ill patients with gastrointestinal perforation: Evidence from the American MIMIC-IV and the Chinese Central-III Study.

Jixin Fu, Xiaoling Yin, De Zhang, Lei Luo, Junyang Kang

Abstract readMulticenter Study
In one paragraph

Article in Medicine, 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jixin FuDepartment of Gastrointestinal Surgery, Weihai Central Hospital Affiliated to Qingdao University, Weihai Central Hospital, Weihai, Shandong, China.
Xiaoling YinDepartment of Critical Care Medicine, Weihai Central Hospital Affiliated to Qingdao University, Weihai Central Hospital, Weihai, Shandong, China.
De ZhangDepartment of Gastrointestinal Surgery, Danyang People's Hospital, Zhenjiang, Jiangsu, China.
Lei LuoDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Weihai Central Hospital, Qingdao, Shandong, China.
Junyang KangDepartment of Critical Care Medicine, Weihai Central Hospital Affiliated to Qingdao University, Weihai Central Hospital, Weihai, Shandong, China.ORCID 0009-0006-7158-9360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients with gastrointestinal (GI) perforation present with complex, rapidly progressing conditions and high mortality. The impact of anion gap (AG) on mortality in these patients remains understudied, particularly across distinct geographic populations. This retrospective, multicenter cohort study analyzed 1167 critically ill patients with GI perforation from the American MIMIC-IV database (n = 552) and the Chinese Central-III cohort (n = 615). AG was measured using the first value obtained within 24 hours of intensive care unit admission. Patients were stratified by AG quartiles. Multivariable Cox regression assessed mortality risk, restricted cubic spline analysis evaluated nonlinearity, and receiver operating characteristic analysis identified optimal AG thresholds and quantified prognostic performance. Comprehensive subgroup analyses were performed. Mortality rates were comparable between cohorts (MIMIC-IV: 11.8% in-hospital, 24.6% 28-day; Central-III: 16.3% in-hospital, 24.8% 28-day). In both cohorts, the highest AG quartile showed significantly elevated mortality risk versus the lowest quartile (MIMIC-IV: aHR = 5.97 for in-hospital, aHR = 5.26 for 28-day; Central-III: aHR = 3.35 for in-hospital, aHR = 4.18 for 28-day). Restricted cubic spline revealed a consistent nonlinear AG-mortality relationship. Receiver operating characteristic analysis confirmed AG's significant discriminatory power and identified optimal cutoff values in both populations. This first binational (US-China) multicenter analysis confirms that elevated AG levels independently predict increased mortality in critically ill patients with gastrointestinal perforation. The consistent findings across Western and Asian intensive care unit populations underscore AG's robustness as a readily available prognostic marker in this high-risk patient group.

Indexed as

Critical IllnessIntestinal PerforationAgedChinaEast Asian PeopleFemaleHospital MortalityHumansIntensive Care UnitsMalePrognosisRetrospective StudiesROC CurveUnited Statesall-cause mortalityanion gapcritical caregastrointestinal perforationMIMIC-IV

Identifiers

PMID42700083
PMCPMC13549532

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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.