Evidence map›Paper›PMID 42192473›Full record

ArticleJournal of intensive care2026

The new SOFA for sepsis identification and mortality prediction: a multicenter cohort study.

Lina Zhao, Qian Cui, Jie Liu, Shuoyan Dong, Lei Zong, Fei Yang, Hui Shi, Yunying Wang, Xiaoli Zhao, Haibo Li and 8 more

Abstract read
In one paragraph

Article in Journal of intensive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

18 authors.

Lina Zhao *Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Qian CuiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Baotou Medical College, Baotou, China.
Jie LiuDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Shuoyan DongDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Lei ZongDepartment of Critical Care Medicine, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, Shaanxi, China.
Fei YangDepartment of Critical Care Medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, 024000, China.
Hui ShiDepartment of Critical Care Medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, 024000, China.
Yunying WangDepartment of Critical Care Medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, 024000, China.
Xiaoli ZhaoDepartment of Critical Care Medicine, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, 024000, China.
Haibo LiDepartment of Anesthesiology, Chifeng Municipal Hospital, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng, 024000, China.
Yipeng FangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Ying GaoDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Hanjun PeiDepartment of Cardiology, The First Affiliated Hospital of Baotou Medical College, Baotou, China.
Fuhong SuExperimental Laboratory of Intensive Care, Université Libre de Bruxelles, Brussels, Belgium.
Haibo ZhangKeenen Research Centre for Biomedical Sciences, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada. hzhaibozhang@gmail.com.
Daniel De BackerDepartment of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium. ddebacke@ulb.ac.be.
Yun Li *Department of Anesthesiology, The Second Hospital of Tianjin Medical University, Tianjin, China. cfsyy_liyun@126.com.
Keliang XieDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China. xiekeliang2009@hotmail.com.

Funding

Joint Funds of the Natural Science Foundation of Tianjin No. 25JCLMJC00350National Natural Science Foundation of China 82302413
6 · The paper itself

Abstract

backgroundThe Sequential Organ Failure Assessment (SOFA) score is central to Sepsis-3 criteria. SOFA-2 updates thresholds and incorporates contemporary organ support practices, but its impact on sepsis identification and outcome prediction remains uncertain. This study aimed to compare the diagnostic yield and prognostic performance of SOFA-2 versus SOFA-1 for sepsis identification in critically ill adults.

methodsWe conducted a retrospective multicenter cohort study of 11,669 ICU admissions from three tertiary hospitals in China (January 2022-October 2025) and externally validated findings in 29,811 ICU patients from MIMIC-IV. Sepsis was defined by Sepsis-3 using either SOFA-1 or SOFA-2. We evaluated diagnostic agreement, organ dysfunction profiles, and discrimination for ICU mortality.

resultsSOFA-2 identified a significantly larger sepsis population than SOFA-1 (49.0% vs. 45.5%, P < 0.001), while maintaining substantial diagnostic agreement with SOFA-1 (

conclusionThe updated SOFA-2 score may identify a moderately larger sepsis population with more advanced organ dysfunction and may provide modestly improved mortality risk stratification compared with SOFA-1, while maintaining substantial diagnostic agreement. These findings suggest that SOFA-2 could be considered for clinical use in ICU sepsis assessment, and the Sepsis-3 SOFA ≥ 2 threshold may not require recalibration when using SOFA-2.

Indexed as

Organ dysfunctionPrognosticSepsisSOFA-1scoreSOFA-2 score

Identifiers

PMID42192473
PMCPMC13224628

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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.