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优化 CHEST 评分的年龄分层在中国医院人群中预测新发心房颤动的价值。

Refining age stratum of the CHEST score for predicting incident atrial fibrillation in a hospital-based Chinese population.

机构信息

Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China.

Department Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.

出版信息

Eur J Intern Med. 2021 Aug;90:37-42. doi: 10.1016/j.ejim.2021.04.014. Epub 2021 May 10.

Abstract

BACKGROUND

The CHEST score (C: coronary artery disease [CAD] / chronic obstructive pulmonary disease [COPD] (1 point each); H: Hypertension; E: Elderly (Age≥75, doubled); S: Systolic heart failure (doubled); T: Thyroid disease (hyperthyroidism)) has been validated to predict incident atrial fibrillation (AF). Its performance in the hospital-based Chinese population has never been evaluated.

METHODS

Risk factors for incident AF were investigated in a hospital-based population. Comparison of the CHEST score and other clinical scores with the capacity of predicting incident AF was conducted using area under the curves (AUC), net reclassification index (NRI), integrated discriminative improvement (IDI), and decision curve analysis (DCA). An age-stratified criterion was used to refine the CHEST score to form a modified CHEST score (mCHEST). The performance of the mCHEST score was also evaluated.

RESULTS

A total of 23,523 patients entered the study with 520 developed AF during 2.84 ± 3.56 years of follow-up. Risk factors for incident AF included age, male sex, hypertension, CAD, COPD, previous ischemic stroke, hyperthyroidism, and heart failure. Age ≥65 years has significantly increased the risk of AF, which was considered as the age cutoff for a modified CHEST score (mCHEST). The risk of AF increased by 89% per one-point increase of the mCHEST score. The mCHEST score showed better predictive performance (AUC of 0.809) compared with the original CHEST (AUC of 0.752), CHADS-VASc (0.756), HATCH (0.722), and HAVOC (0.758) scores, also as estimated by IDI, NRI and DCA. Among those enrolled after 2012, the mCHEST score had numerically higher AUC (0.849) compared with the CHEST score (0.826) and the other scores.

CONCLUSION

In a hospital-based Chinese population, by refining the age strata of the original CHEST score, the mCHEST score had significantly increased predictive accuracy and discriminative capability for incident AF. The clinical benefits of the application of novel mCHEST score needs further validation in multiple settings.

摘要

背景

CHEST 评分(C:冠状动脉疾病[CAD] / 慢性阻塞性肺疾病[COPD](各 1 分);H:高血压;E:老年(年龄≥75 岁,翻倍);S:收缩性心力衰竭(翻倍);T:甲状腺疾病(甲状腺功能亢进))已被验证可预测房颤(AF)的发生。但其在以医院为基础的中国人群中的表现尚未得到评估。

方法

在以医院为基础的人群中调查了房颤发生的危险因素。使用曲线下面积(AUC)、净重新分类指数(NRI)、综合判别改善(IDI)和决策曲线分析(DCA)比较 CHEST 评分和其他临床评分预测房颤发生的能力。使用年龄分层标准对 CHEST 评分进行细化,形成改良 CHEST 评分(mCHEST)。还评估了 mCHEST 评分的性能。

结果

共纳入 23523 例患者,随访 2.84±3.56 年期间发生 520 例房颤。房颤发生的危险因素包括年龄、男性、高血压、CAD、COPD、既往缺血性脑卒中、甲状腺功能亢进和心力衰竭。年龄≥65 岁显著增加了房颤的风险,这被认为是改良 CHEST 评分(mCHEST)的年龄截止值。mCHEST 评分每增加 1 分,房颤风险增加 89%。mCHEST 评分显示出比原始 CHEST(AUC 为 0.752)、CHADS-VASc(AUC 为 0.756)、HATCH(AUC 为 0.722)和 HAVOC(AUC 为 0.758)评分更好的预测性能,也通过 IDI、NRI 和 DCA 进行评估。在 2012 年后入组的患者中,mCHEST 评分的 AUC(0.849)高于 CHEST 评分(0.826)和其他评分。

结论

在以医院为基础的中国人群中,通过细化原始 CHEST 评分的年龄分层,mCHEST 评分显著提高了房颤发生的预测准确性和判别能力。新型 mCHEST 评分的临床应用获益需要在多个环境中进一步验证。

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