开发和验证一个名图,以预测心血管疾病患者的抑郁风险
Zhao Li1, Yu Zhao1, Hyunsik Kang1
1College of Sport Science, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Healthcare (Basel, Switzerland)
|June 13, 2025
概括
一个新的名图有效预测心血管疾病 (CVD) 患者的抑郁风险. 它确定了早期查和干预的关键因素,如血液中的和久坐时间.
科学领域:
- 心脏病学 心脏病学
- 精神病学是一个精神病学.
- 公共卫生 公共卫生
背景情况:
- 心血管疾病 (CVD) 影响数百万人,其中很大一部分也经历了抑郁症.
- 在心血管疾病患者中早期发现抑郁症对于有效管理和改善结果至关重要.
研究的目的:
- 开发和验证用于评估心血管疾病患者抑郁风险的预测性名谱.
- 在心血管疾病患者群体中确定与抑郁症相关的关键临床和人口因素.
主要方法:
- 一项横截面研究利用了来自国家健康和营养检查调查 (2007-2018) 的6702名心血管疾病患者的数据.
- 数据被分为培训 (75%) 和验证 (25%) 队列.
- 使用后勤回归分析来识别风险因素,并建立基于网络的动态名录,随后进行验证.
主要成果:
- 确定了11个风险因素,并纳入了名图:血液中的度,久坐时间,乙氨基酸细胞计数,婚姻状况,工作限制,睡眠障碍,喘,胃肠道疾病,认知问题,种族和.
- 诺米图表表现出强大的预测性能,在训练队列中,曲线下的面积 (AUC) 为0.852,在验证队列中为0.856.
- 在两个队列中都观察到高灵敏度和特异性,表明强大的临床效用.
结论:
- 开发的名图显示了早期查心血管疾病患者中抑郁风险的巨大潜力.
- 这种工具可以帮助临床医生识别有风险的个体,以便及时进行干预,从而有可能改善患者的预后.
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