开发和验证用于预测患有糖尿病前期和糖尿病患者心血管疾病风险的诺姆图
Zhao Li1, Seamon Kang1, Hyunsik Kang2
1College of Sport Science, Sungkyunkwan University, 2066 Seoburo, 16419, Jangan-gu, Suwon, Republic of Korea.
Scientific reports
|September 8, 2024
概括
这项研究开发了使用国家健康和营养检查调查数据来预测糖尿病前期和糖尿病患者心血管疾病 (CVD) 风险的诺姆图. 这些工具为早期风险评估和管理提供了宝贵的见解.
科学领域:
- 心血管医学 心血管医学
- 内分泌学 在内分泌学.
- 生物统计学 生物统计学
背景情况:
- 心血管疾病 (CVD) 对糖尿病前期和糖尿病患者构成重大威胁.
- 准确的风险预测对于这些高风险人群的及时干预和管理至关重要.
- 现有的心血管疾病风险评估工具可能不适合糖尿病前期和糖尿病队列.
研究的目的:
- 开发和验证不同的,可靠的诺姆图模型,用于预测心血管疾病风险,特别是在糖尿病前期和糖尿病患者中.
- 在这些不同的血糖状况组中确定心血管疾病的关键预测因素.
- 为实际临床应用创建基于Web的动态名录.
主要方法:
- 这是一项横截面研究,利用来自美国国家健康和营养检查调查 (2007-2018) 的2294名糖尿病前期和1037名糖尿病患者的数据.
- 随机队列分割 (75%培训,25%验证) 与Boruta特征选择以确定最佳心血管疾病预测因子.
- 开发和验证基于Web的名录,使用霍斯默-莱梅斯霍测试,ROC曲线,校准曲线,决策曲线分析和临床影响曲线进行评估.
主要成果:
- 对于糖尿病前期,心血管疾病风险名录识别了9个预测因素:年龄,吸烟,血小板/淋巴细胞比,血小板数,白细胞数,红细胞分布宽度,乳酸脱酶,睡眠障碍和高血压.
- 对于糖尿病,心血管疾病风险名录包括11个预测因素:年龄,婚姻状况,吸烟,全身炎症反应指数,中性粒细胞与淋巴细胞的比率,红细胞分布宽度,乳酸脱酶,高密度脂蛋白胆固醇,睡眠障碍,高血压和体力活动.
- 开发的诺莫格拉姆模型在两个群体中都表现出良好的预测和区分效用.
结论:
- 独特的诺莫格拉姆模型有效地预测糖尿病前期和糖尿病人群中的心血管疾病风险.
- 这些经过验证的诺姆图为临床医生提供了有价值的工具,以评估和管理患有失糖症的患者的心血管疾病风险.
- 鉴定的风险因素突出了针对糖尿病前期和糖尿病管理的有针对性的干预措施的具体领域,以减少心血管事件.
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