Evidence map›Paper›PMID 42454137›Full record

ArticleFrontiers in medicine2026

Establishment and internal-external validation of a 28-day mortality prediction model for septic shock patients with left ventricular systolic dysfunction.

Jia Lin, Xiaojia Wang, Kai Chen, Yafang Liu, Yizhuo Zhang, Tianmiao Xu, Xiaojuan Yang

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Article in Frontiers 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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5 · Who and what money

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7 authors.

Jia Lin *The First School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Xiaojia Wang *General Hospital of Ningxia Medical University, Yinchuan, China.
Kai ChenThe First School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Yafang LiuThe First School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Yizhuo ZhangThe First School of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Tianmiao XuGeneral Hospital of Ningxia Medical University, Yinchuan, China.
Xiaojuan YangGeneral Hospital of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Septic shock remains a major cause of death in the ICU with high 28-day mortality, and concomitant left ventricular systolic dysfunction (LVSD) further worsens patient outcomes, while existing prediction models lack adequate specificity. This study aimed to establish and perform internal-external validation of a 28-day mortality prediction model specifically for septic shock patients with LVSD as a key risk factor. Methods: This retrospective multicenter cohort study enrolled 226 septic shock patients from September 2021 to October 2024 as the training cohort and 132 patients from November 2024 to December 2025 as the validation cohort, from ICUs of General Hospital and Cardiovascular Hospital of Ningxia Medical University. Baseline LVEF was measured at admission, with LVSD defined as LVEF < 50% or > 70%. Baseline data, clinical variables, myocardial biomarkers, and 28-day mortality were collected. Univariate and multivariate logistic regression identified independent predictors. A predictive nomogram was constructed and assessed using ROC, calibration curves, and DCA. Internal validation was performed via 1,000 bootstrap resamples, followed by external validation in the validation cohort. Results: Independent predictors of 28-day mortality in patients with septic shock were: left ventricular systolic dysfunction, decreased pH, atrial arrhythmia, dopamine use, and reduced PaO Conclusion: The 28-day mortality prediction model demonstrated excellent discriminative power, stability, and clinical applicability.

Indexed as

APACHE II scoreLVEFLVSDnomogramprognostic prediction modelseptic shock

Identifiers

PMID42454137
PMCPMC13365332

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