Evidence map›Paper›PMID 42656590›Full record

ArticleFrontiers in cardiovascular medicine2026

Erector spinae density as a predictor of early cardiac complications in patients with stroke.

Kun Ding, Yue Lin, Qing Zhu, Xiao Liu, Peidong Cao, Linlin Liang, Mingyue Cui, Jingwei Ni

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Article in Frontiers in cardiovascular 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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kun DingTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Yue LinZhejiang Provincial People's Hospital, Hangzhou, China.
Qing ZhuTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Xiao LiuTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Peidong CaoTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Linlin LiangTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Mingyue CuiTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Jingwei NiTaicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale and objectives: The relationship between erector spinae muscle density (ESMD) and early cardiovascular complications in patients with stroke remains unexplored. Therefore, this study aimed to evaluate the predictive value of ESMD, assessed through chest computed tomography (CT), for the incidence of stroke-heart syndrome (SHS) in patients with stroke. Materials and methods: Clinical data of 422 patients with stroke from Zhejiang Provincial People's Hospital (January 2023-March 2024) were retrospectively analyzed. Patients were grouped based on the presence of SHS within 72 h of admission. Logistic regression analyses identified predictors, and a nomogram integrating ESMD was constructed. Model performance was evaluated through receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis. Results: Independent predictors of SHS included the ESMD, serum albumin level, estimated glomerular filtration rate, prothrombin time, and fibrinogen level ( Conclusion: ESMD obtained from chest CT is a strong predictor of SHS, offering a practical, non-invasive marker for early risk stratification and management. The proposed nomogram provides an effective tool for identifying and managing patients at high risk of SHS.

Indexed as

computed tomographyerector spinae muscle densitynutritional statusrisk stratificationstroke-heart syndrome

Identifiers

PMID42656590
PMCPMC13507670

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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.