Evidence map›Paper›PMID 42923160›Full record

ArticleAmerican journal of translational research2026

Predictive value of soluble growth stimulated expression gene 2 (sST2) for recurrence after radiofrequency ablation in patients with atrial fibrillation.

Jiemin Chen, Longwei Liang, Bai Shen, Xu Qin, Feilong Deng, Chang Tu

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Article in American journal of translational research, 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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6 authors.

Jiemin ChenDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.
Longwei LiangDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.
Bai ShenDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.
Xu QinDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.
Feilong DengDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.
Chang TuDepartment of Cardiovascular Medicine, Guangdong Medical University Affiliated Dongguan Songshan Lake Central Hospital, Dongguan Institute of Cardiovascular Disease Dongguan 523326, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the prognostic utility of preoperative soluble growth stimulated expression gene 2 (sST2) for post-ablation Atrial fibrillation (AF) recurrence and develop a multi-marker nomogram to optimize preprocedural risk assessment.

methodsThis monocentric retrospective study enrolled 517 AF patients undergoing radiofrequency ablation (RFA) between January 2020 and December 2024, with a 12-month postprocedural follow-up. We collected baseline clinical characteristics, left atrial diameter (LAD), and serum biomarkers including high-sensitivity C-reactive protein (hs-CRP), N-terminal pro-brain natriuretic peptide (NT-proBNP), interleukin-6 (IL-6), and sST2. Multivariable logistic regression revealed the independent risk factors for recurrence after ablation; we then constructed a nomogram and performed internal validation.

resultsAF recurrence occurred in 172 patients (33.27%). LAD, hs-CRP, NT-proBNP, IL-6, and sST2 were confirmed as independent predictors of recurrence. sST2 demonstrated the strongest individual predictive performance, with an optimal cutoff value of 32.69 ng/mL and an area under the curve (AUC) of 0.825. The combined nomogram achieved AUCs of 0.950 in the training set and 0.935 in the validation set, which was significantly better than the traditional CHA

conclusionsPreoperative sST2 is a robust independent predictor of AF recurrence after RFA. The novel nomogram integrating sST2 with LAD and inflammatory/neurohormonal biomarkers enables more accurate risk stratification and supports personalized perioperative management.

Indexed as

Atrial fibrillationbiomarkerradiofrequency ablationrecurrencesoluble growth stimulated expression gene 2

Identifiers

PMID42923160
PMCPMC13687698

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