Evidence map›Paper›PMID 40926901›Full record

ArticleEClinicalMedicine2025

Development and validation of a novel score to predict adverse outcomes in paediatric congenital mitral regurgitation (PRIMARY): a multicentre cohort study.

Han Zhang, Chunhu Gu, Jin Shentu, Gang Li, Tingting Xiao, Zhongqun Zhu, Yuehu Han, Tao Wang, Hui Zhang, Tianli Zhao and 7 more

Abstract read
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Article in EClinicalMedicine, 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

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2 · The registry

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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

17 authors.

Han ZhangDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.
Chunhu GuXijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jin ShentuDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.
Gang LiPaediatric Cardiac Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Tingting XiaoDepartment of Cardiology, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhongqun ZhuDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.
Yuehu HanXijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Tao WangCardiovascular Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, Guangdong, China.
Hui ZhangDepartment of Cardiothoracic Surgery, Children's Hospital, Capital Institute of Paediatrics Affiliate Children's Hospital, Beijing, China.
Tianli ZhaoDepartment of Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Hunan Engineering Research Center of Digital Heart, Changsha, Hunan, China.
Hongbo LuoDepartment of Cardiothoracic Surgery, Guizhou Provincial Peoples Hospital, Guizhou, China.
Hao ZhangDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.
Xinxin ChenCardiovascular Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, Guangdong, China.
Xiangming FanDepartment of Cardiac Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Qiang WangPaediatric Cardiac Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Guocheng ShiDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.
Huiwen ChenDepartment of Cardiothoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Paediatric patients who underwent surgery for mitral regurgitation (MR) have a high risk of recurrence or death; however, no prediction tool has been developed to risk-stratify this challenging subpopulation. Methods: In this multicentre cohort study, paediatric patients undergoing surgery for congenital MR in Shanghai Children's Medical Center in January 1st, 2009-December 31st, 2022 were included for analysis while those had a combination with infective endocarditis, anomalous left coronary artery from the pulmonary artery, rheumatic valvular disease, connective tissue disease, or single ventricle were excluded. A Cox regression model predictive of the primary outcome (a composite of mortality or mitral valve [MV] re-operation) was derived and converted to a point-based risk score. This score was externally validated in a cohort of patients undergoing MR surgeries between January 1st, 2009 and December, 31st, 2022 in eight independent hospitals in China. The Harrell's c index and Hosmer-Lemeshow test was used to quantify the discrimination and calibration of the risk score. Findings: In total, 2640 patients (female: 57% [n = 1505]) with a median age of 0.99 (IQR, 0.47-2.60) years were included. The primary outcome occurred in 262 patients (16.6%) over a median of 5.7-year follow-up in the derivation cohort (n = 1581; median age of 1.03 years [IQR, 0.47-2.67]) and in 130 (12.3%) over a median of 7.1-year follow-up in the validation cohort (n = 1059; median age of 0.93 years [IQR, 0.46-2.51]). The score variables included preoperative variables (age, the presence of primary MR, N-terminal pro-brain natriuretic peptide, left ventricular ejection fraction, and left atrium z score), perioperative changes in z scores of LA and left ventricular end-diastolic dimension, and the procedural variable (use of MV annuloplasty or not). This risk score, ranging from -22 to 10, yielded strong discrimination (Harrell's c index: 0.85, 95% CI, 0.83-0.87) and exhibited good calibration of postoperative 10-year primary outcome (Hosmer-Lemeshow; χ Interpretation: The scoring system represents a crucial step towards personalised management care for paediatric MR. However, this model has not been applied in clinical practice and require validation in large and diverse cohorts of patients. Further work should aim to incorporate other novel multi-modality metrics to optimise the PRIMARY score. Funding: Chinese National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Science and Technology Project of Guizhou Province.

Indexed as

Congenital heart diseaseMitral regurgitationPaediatricRisk score

Identifiers

PMID40926901
PMCPMC12414831

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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.