TY - JOUR A2 - 盖伦·涅托，赫拉尔E. AU - 贾，小娜AU - 贝格，米尔扎曼苏尔AU - 米尔扎，Farhaan AU - GholamHosseini，哈米德PY - 2019 DA - TI 2019年4月9日 - - 基于考克斯风险预测型号为心血管疾病的早期检测：主要危险因素，对于10年心血管疾病风险预测SP发展的鉴定 - 8392348 VL - 2019 AB - 背景和目的。目前心血管疾病（CVD）的风险模型通常是基于传统的基于实验室的预测。这项研究的目的是确定影响心血管疾病的风险预测和使用所确定的风险因素，制定了10年的心血管疾病风险预测模型主要危险因素。方法。施加Cox比例风险回归方法来生成建议的风险模型。我们使用从5079名男性和女性，年龄30-62年弗雷明汉原始队列，谁曾在基线CVD无明显症状的数据集;所选择的队列3189中有CVD事件。结果。基于多种危险因素（如年龄，性别，身体质量指数（BMI），高血压，收缩压（SBP），每天香烟，脉率和糖尿病）有10年心血管疾病的风险模型，其中心脏开发 rate was identified as one of the novel risk factors. The proposed model achieved a good discrimination and calibration ability with C-index (receiver operating characteristic (ROC)) being 0.71 in the validation dataset. We validated the model via statistical and empirical validation. Conclusion. The proposed CVD risk prediction model is based on standard risk factors, which could help reduce the cost and time required for conducting the clinical/laboratory tests. Healthcare providers, clinicians, and patients can use this tool to see the 10-year risk of CVD for an individual. Heart rate was incorporated as a novel predictor, which extends the predictive ability of the past existing risk equations. SN - 2090-3480 UR - https://doi.org/10.1155/2019/8392348 DO - 10.1155/2019/8392348 JF - Advances in Preventive Medicine PB - Hindawi KW - ER -