Analysis of risk factors for acute kidney injury in fulminant myocarditis and development of a renal prognosis prediction model

Objective: This observational cohort study aimed to identify risk factors for acute kidney injury (AKI) related to fulminant myocarditis (FM) and for the progression of AKI to chronic kidney disease (CKD), as well as to develop a risk prediction model to help improve the renal prognosis in FM patients. Methods: Clinical data were collected for FM patients treated at Central China Fuwai Hospital between December 1, 2018 and June 30, 2025. Patients were categorized into AKI and non-AKI groups, and surviving AKI patients were followed for at least 3 months to observe CKD progression. The logistic regression model was used to analyze the risk factors for FM-associated AKI and its progression to CKD. A receiver operator characteristic (ROC) curve was drawn to evaluate the performance of the clinical risk factor model. Results: < 0.001). Conclusion: FM patients have a high risk of renal complications. Patients with FM-associated AKI are also at risk for developing CKD. A logistic prediction model based on independent risk factors can predict poor renal prognosis in FM-associated AKI patients, but this prediction model represents a preliminary exploration and requires external validation for further clinical application.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-04-01
DOI
https://doi.org/10.3389/fcvm.2026.1796802
Primary Topic
Viral Infections and Immunology Research
Type
article
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article

Analysis of risk factors for acute kidney injury in fulminant myocarditis and development of a renal prognosis prediction model

Pei Yu, Shuai Huo, Changli Sun
Frontiers in Cardiovascular Medicine
Viral Infections and Immunology Research
article

Analysis of risk factors for acute kidney injury in fulminant myocarditis and development of a renal prognosis prediction model

Pei Yu, Shuai Huo, Changli Sun
article en

Abstract

Objective: This observational cohort study aimed to identify risk factors for acute kidney injury (AKI) related to fulminant myocarditis (FM) and for the progression of AKI to chronic kidney disease (CKD), as well as to develop a risk prediction model to help improve the renal prognosis in FM patients. Methods: Clinical data were collected for FM patients treated at Central China Fuwai Hospital between December 1, 2018 and June 30, 2025. Patients were categorized into AKI and non-AKI groups, and surviving AKI patients were followed for at least 3 months to observe CKD progression. The logistic regression model was used to analyze the risk factors for FM-associated AKI and its progression to CKD. A receiver operator characteristic (ROC) curve was drawn to evaluate the performance of the clinical risk factor model. Results: < 0.001). Conclusion: FM patients have a high risk of renal complications. Patients with FM-associated AKI are also at risk for developing CKD. A logistic prediction model based on independent risk factors can predict poor renal prognosis in FM-associated AKI patients, but this prediction model represents a preliminary exploration and requires external validation for further clinical application.

Frontiers in Cardiovascular MedicineVol. 13
Second Hospital of Tianjin Medical University (CN), Fu Wai Hospital (CN), Tianjin Medical University (CN)
Good health and well-being
Openalex Percentile: Top 34%
Viral Infections and Immunology Research
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