首页> 外文期刊>Clinical cardiology. >Treatment in a preventive cardiology clinic utilizing advanced practice providers effectively closes atherosclerotic cardiovascular disease risk‐management gaps among a primary‐prevention population compared with a propensity‐matched primary‐care cohort: A team‐based care model and its impact on lipid and blood pressure management
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Treatment in a preventive cardiology clinic utilizing advanced practice providers effectively closes atherosclerotic cardiovascular disease risk‐management gaps among a primary‐prevention population compared with a propensity‐matched primary‐care cohort: A team‐based care model and its impact on lipid and blood pressure management

机译:与倾向匹配的初级保健队列相比,在预防性心脏病诊所中使用先进的医疗服务提供者的治疗可以有效地缩小初级预防人群中的动脉粥样硬化性心血管疾病风险管理差距:基于团队的护理模型及其对血脂和血压的影响管理

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Background Advanced practice providers (APPs) can fill care gaps created by physician shortages and improve adherence/compliance with preventive ASCVD interventions. Hypothesis APPs utilizing guideline‐based algorithms will more frequently escalate ASCVD risk factor therapies. Methods We retrospectively reviewed data on 595 patients enrolled in a preventive cardiology clinic (PCC) utilizing APPs compared with a propensity‐matched cohort (PMC) of 595 patients enrolled in primary‐care clinics alone. PCC patients were risk‐stratified using Framingham Risk Score (FRS) and coronary artery calcium scoring (CACS). Results Baseline demographics were balanced between the groups. CACS was more commonly obtained in PCC patients ( P Conclusions APPs within a PCC effectively risk‐stratify and aggressively manage ASCVD risk factors, resulting in a reduction in post‐intervention FRS.
机译:背景技术高级实践提供者(APP)可以填补医师短缺造成的护理空白,并通过预防性ASCVD干预措施提高依从性/依从性。使用基于准则的算法的假设APP将更频繁地升级ASCVD危险因素疗法。方法我们回顾性分析了595例使用APP进入预防性心脏病诊所(PCC)的患者的数据,与仅在初级保健诊所就诊的595例患者的倾向匹配队列(PMC)进行了比较。使用Framingham风险评分(FRS)和冠状动脉钙化评分(CACS)对PCC患者进行风险分层。结果两组之间的基线人口统计是平衡的。 CACS在PCC患者中更常见(P结论PCC中的APP有效地风险分层并积极管理ASCVD危险因素,从而减少了干预后FRS。

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