Evidence map›Paper›PMID 40618008›Full record

ArticleJournal of cardiovascular translational research2025

Identification of Prognostic Factors for Sepsis or Septic Shock Patients with Cardiac Dysfunction.

Jinsheng Tian, Yan Liu, Yutong Zhao, Zengrong Wang, Lili Wang

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Article in Journal of cardiovascular translational research, 2025. 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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jinsheng Tian *Intensive Care Unit, The First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Yan Liu *Intensive Care Unit, The First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Yutong ZhaoIntensive Care Unit, The First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Zengrong WangIntensive Care Unit, The First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Lili WangDepartment of Cardiovascular Medicine, The First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China. xia_cc09@163.com.ORCID 0009-0004-3365-7508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial markers and inflammatory factors have been identified as risk factors for the development of sepsis-induced cardiac dysfunction (SIC), the prognostic significance and clinical utility of utilizing a multi-index combined prognostic approach remain uncertain. Our objective was to establish a "risk score" utilizing clinical indexes to provide short-term prognostic insight for individuals with SIC. Utilizing Lasso regression and COX regression analysis, we identified a history of diabetes, CRP, and NT-proBNP on day 3 as independent risk factors for 28-day mortality in SIC patients. Specifically, the Cox regression analysis identified a hazard ratio of 24.74 (95% CI: 5.90-103.71) for the high-risk group. The prognostic thresholds for CRP and NT-proBNP were determined to be 83.3 mg/L and 1720.7 ng/L, respectively. In conclusion, a "risk score" predictive model incorporating diabetes history, CRP, and NT-proBNP was developed to assess 28-day mortality in patients with SIC.

Indexed as

Decision Support TechniquesHeart DiseasesSepsisShock, SepticAgedAged, 80 and overBiomarkersC-Reactive ProteinDiabetes MellitusFemaleHumansInflammation MediatorsMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsBiomarkersC-Reactive ProteinInflammation MediatorsNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Cardiac dysfunctionHs-cTnTNT-proBNPPrognosisSepsis

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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.