Reassessing Cardiovascular Risk Stratification in Vietnam: Insights from SCORE2 and the Original SCORE Model.

Q2 Medicine
Tran Nguyen Phuong Hai, Nguyen Nhat Tai, Nguyen Minh Kha, Ly Quang Sang, Pham Thanh Truong Son, Ngo Minh Hung, Le Trung Nhan, Truong The Hiep, Hoang Van Sy
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Abstract

Background: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide, especially in low- and middle-income countries like Vietnam. Risk stratification models such as the original SCORE model have been widely used to guide preventive strategies. Recently, the updated SCORE2 model has been developed to enhance prediction accuracy by incorporating non-fatal events and recalibration for different European regions.

Objective: This study aims to compare the performance and applicability of SCORE2 versus the original SCORE in a Vietnamese population undergoing general health check-ups.

Methods: We conducted a cross-sectional study on individuals attending general health check-ups at Cho Ray Hospital, a leading tertiary hospital in Vietnam, from January 2024 to July 2024. Demographic, clinical, and laboratory data were collected to calculate cardiovascular risk scores using both the original SCORE and the updated SCORE2 models.

Results: Among 477 individuals undergoing general health check-ups, 317 patients met the inclusion criteria with a median age of 54.5 years (IQR: 47-62) and 35% were male. Risk stratification using the original SCORE model classified 87.1% as low-to-moderate risk, 9.1% as high risk, and 3.8% as very high risk. In contrast, SCORE2 reclassified 48.6% as low-to-moderate risk, while high and very high-risk categories increased to 35.6% and 15.8%, respectively (p < 0.001). Notably, 122 out of 276 patients (44.2%) initially classified as low-to-moderate risk by SCORE were reclassified by SCORE2 into higher risk categories - 101 (high risk) and 21 (very high risk). Similarly, 58.6% (n = 17) of patients classified as high risk by SCORE were upgraded to very high risk by SCORE2. SCORE2 also identified more high and very high-risk individuals under 50 years old, particularly among male patients.

Conclusion: Compared to the original SCORE model, SCORE2 significantly increased the detection of high and very high cardiovascular risk in Vietnamese individuals undergoing routine health check-ups. The findings suggest that SCORE2 may provide improved risk stratification, especially in younger and male populations, and may better support preventive cardiovascular strategies in clinical practice.

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重新评估越南心血管风险分层:来自SCORE2和原始SCORE模型的见解
背景:心血管疾病(CVD)仍然是世界范围内发病率和死亡率的主要原因,特别是在越南等低收入和中等收入国家。风险分层模型,如原始的SCORE模型,已被广泛用于指导预防策略。最近,已经开发了更新的SCORE2模型,通过纳入非致命事件和对不同欧洲地区的重新校准来提高预测精度。目的:本研究旨在比较SCORE2与原始SCORE在接受一般健康检查的越南人群中的表现和适用性。方法:我们对2024年1月至2024年7月在越南著名三级医院Cho Ray医院进行一般健康检查的个体进行了横断面研究。收集人口统计学、临床和实验室数据,使用原始SCORE和更新的SCORE2模型计算心血管风险评分。结果:477例患者中,317例符合纳入标准,中位年龄54.5岁(IQR: 47 ~ 62),男性占35%。使用原始SCORE模型进行风险分层,87.1%为低至中度风险,9.1%为高风险,3.8%为非常高风险。相比之下,SCORE2将48.6%重新分类为低至中度风险,而高风险和非常高风险类别分别增加到35.6%和15.8% (p < 0.001)。值得注意的是,276例患者中有122例(44.2%)最初被SCORE划分为低至中度风险,但被SCORE2重新划分为高风险类别——101例(高风险)和21例(非常高风险)。同样,58.6% (n = 17)的SCORE分类为高风险的患者通过SCORE2升级为非常高风险。SCORE2还发现了更多的50岁以下的高危人群,尤其是男性患者。结论:与最初的SCORE模型相比,SCORE2显著增加了接受常规健康检查的越南个体的高和极高心血管风险的检出率。研究结果表明,SCORE2可能提供更好的风险分层,特别是在年轻人和男性人群中,并可能在临床实践中更好地支持心血管预防策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta Informatica Medica
Acta Informatica Medica Medicine-Medicine (all)
CiteScore
2.90
自引率
0.00%
发文量
37
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