Evidence map›Paper›PMID 41993855›Full record

ArticleFrontiers in cardiovascular medicine2026

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

Changli Sun, Shuai Huo, Pei Yu

Abstract read
In one paragraph

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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Changli Sun *NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Shuai Huo *Department of Nephrology, Central China Fuwai Hospital, Zhengzhou, Henan, China.
Pei YuNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: Of the 408 FM patients included in this study, 201 (49.2%) exhibited FM-associated AKI. Male gender, elevated baseline N-terminal pro b-type natriuretic peptide (NT-pro BNP) and procalcitonin levels and reduced left ventricular ejection fraction were identified as risk factors for FM-associated AKI ( 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.

Indexed as

acute kidney injurychronic kidney diseasefulminant myocarditisprediction modelprognosis

Identifiers

PMID41993855
PMCPMC13079179

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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.