DEVELOPMENT OF APPROPRIATE CORONARY HEART DISEASE RISK PREDICTION MODELS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 冠心病(CHD)风险预测方程是让临床医生和患者了解发生CHD的绝对风险的有用工具。冠心病预防的一项基本原则是，降低风险干预的强度应基于单个患者的绝对冠心病风险。在当前人类免疫缺陷病毒(HIV)感染和高效抗逆转录病毒治疗(HAART)的时代，了解自己的冠心病风险并采取行动降低风险已成为长期生存的当务之急。鉴于HAART延长了预期寿命，更多的艾滋病毒感染者将经历与艾滋病毒本身无关的并发症，并将达到他们患冠心病的风险增加的年龄。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Prediction equations for coronary heart disease (CHD) risk are useful tools that inform clinicians and patients about the absolute risk for developing CHD. A basic principle in CHD prevention is that the intensity of risk-reducing interventions should be based on the individual patient's absolute CHD risk. In the current era of human immunodeficiency virus (HIV) infection and highly active antiretroviral therapy (HAART), knowing one's CHD risk and acting to reduce it have become imperative to long-term survival. Given the increased life expectancy as a result of HAART, more HIV-infected persons will experience complications not related to HIV per se and will reach an age at which they are at increased risk for developing CHD.