Evidence map›Paper›PMID 41788475›Full record

ArticleAnnals of intensive care2026

Mortality in children with fulminant myocarditis: a six-year multicenter retrospective study.

Lijun Yang, Wenting Zhao, Xuming Mo, Yucai Zhang, Jie Wang, Yanqin Cui, Zhenhua Liang, Yuxiong Guo, Wei Wang, Zhigang Liu and 3 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Lijun YangDepartment of Heart Failure and Mechanical Circulatory Support, Heart Institute, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Wenting ZhaoDepartment of Heart Failure and Mechanical Circulatory Support, Heart Institute, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Xuming MoDepartment of Cardiac Surgery, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yucai ZhangDepartment of Pediatric Intensive Care Unit, Children's Hospital of Shanghai, Shanghai, China.
Jie WangDepartment of Cardiac Intensive Care Unit, Children's Hospital of Henan Province, Zhengzhou, Henan, China.
Yanqin CuiDepartment of Cardiac Intensive Care Unit, Guangzhou Women and Children's Hospital, Guangzhou, Guangdong, China.
Zhenhua LiangDepartment of Pediatric Intensive Care Unit, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Yuxiong GuoDepartment of Pediatric Intensive Care Unit, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China.
Wei WangDepartment of Extracorporeal Circulation, Shanghai Children's Medical Center, Shanghai, China.
Zhigang LiuPerioperative and Systems Medicine Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Daqing MaPerioperative and Systems Medicine Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Ru LinDepartment of Heart Failure and Mechanical Circulatory Support, Heart Institute, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Qiang ShuZhejiang Key Laboratory of Neonatal Diseases, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fulminant myocarditis (FM) in children can progress rapidly to cardiogenic shock, with high risk of mortality. Early recognition of prognostic markers is critical to guide timely escalation of circulatory support. This multicenter study sought to characterize clinical features and identify early predictors of in-hospital mortality in pediatric FM. Methods: We conducted a retrospective cohort study of patients <18 years with FM admitted to eight ECMO-capable pediatric intensive care units between January 2018 and August 2023. Clinical, biochemical, electrocardiographic, and echocardiographic variables were analyzed. Logistic regression was used to identify predictors of mortality, and receiver operating characteristic (ROC) curves were generated to assess discriminatory performance. Results: A total of 187 children were included; 157 (84.0%) required ECMO. In-hospital mortality was 16.6% (31/187). Univariate analysis identified elevated CK-MB, higher peak lactate, and ventricular tachycardia as associated with mortality. In multivariate analysis, peak lactate (AUC 0.791) and CK-MB (AUC 0.774) remained independent predictors. A combined model of peak lactate and ventricular tachycardia demonstrated moderate discrimination (AUC 0.772), whereas a composite model incorporating CK-MB, peak lactate, and ventricular tachycardia achieved the best predictive performance (AUC 0.815). Elevated lactate measured 12 h after initiation of extracorporeal membrane oxygenation or intensive conventional therapy further increased mortality risk (OR 1.219, 95% CI 1.004-1.481). Conclusion: Peak lactate, CK-MB, and ventricular tachycardia are early independent predictors of in-hospital mortality in pediatric FM. Persistent hyperlactatemia within 12 h of advanced support provides additional prognostic value and may assist clinicians in early risk stratification.

Indexed as

CK-MBExtracorporeal membrane oxygenationLactateMortalityPediatric fulminant myocarditisRisk factors

Identifiers

PMID41788475
PMCPMC12934420

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.