Evidence map›Paper›PMID 39849634›Full record

ArticleJournal of cardiothoracic surgery2025

Establishment and evaluation of a nomogram prediction model for risk of atrial fibrillation recurrence after the cox-maze IV procedure.

Chuang Yu, Yanan Wei, Huajie Zheng, Sanjiu Yu, Yongbo Cheng, Chaojun Yan, Jun Li, Ping He, Wei Cheng

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 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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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

9 authors.

Chuang Yu *Department of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yanan Wei *Department of Prevention and Healthcare, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Huajie Zheng *Department of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Sanjiu YuDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yongbo ChengDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Chaojun YanDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Jun LiDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Ping HeDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China. yhp0130@sina.com.
Wei ChengDepartment of Cardiac Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China. yjchw@126.com.

Funding

National Natural Science Foundation of China 82370483
6 · The paper itself

Abstract

The Cox-Maze IV (CMIV) procedure is the mainstay in surgical treatment of atrial fibrillation (AF), but the rate of AF recurrence after the CMIV procedure in patients with persistent AF is difficult to accurately evaluate. In this study, we aimed to develop and validate a risk prediction model of AF recurrence within 1 year after undergoing the Cox-Maze IV procedure. We retrospectively enrolled 303 consecutive patients who underwent the Cox-Maze IV procedure for persistent AF concomitant with other cardiac procedures at our institute between 2019 and 2021. A nomogram was developed using multivariate logistic regression analysis, and the concordance statistic (C-statistic) was computed. Differentiation, calibration, clinical suitability, and bootstrapping were performed to verify the model. Among the 303 patients, 71 developed recurrent AF within 1 year of CMIV. Factors predictive of postoperative AF recurrence included age, left ventricular hypertrophy (LVH), early atrial tachyarrhythmias (ATAs), and congenital heart disease surgery (namely, ventricular septal defect repair and atrial septal defect repair). Based on the training dataset, the nomogram had a C-statistic of 0.864 (95% CI 0.811-0.918) for predicting AF recurrence. According to the receiver operating characteristic curve, (ROC curve), the cutoff value of the model was 0.293, and the specificity and sensitivity were 0.841 and 0.789, respectively. This model can predict the risk of AF recurrence after the CMIV procedure. Its discrimination, calibration, and clinical applicability are strong, and its clinical application is simple and easy to promote.

Indexed as

Atrial FibrillationMaze ProcedureNomogramsAgedFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesRisk AssessmentRisk FactorsROC CurveAtrial fibrillationCox-Maze IV procedurePredictionPrognosisRisk score model

Identifiers

PMID39849634
PMCPMC11756055

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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.