Guglielmi Valeria, Bellia Alfonso, Pecchioli Serena, Medea Gerardo, Parretti Damiano, Lauro Davide, Sbraccia Paolo, Federici Massimo, Cricelli Iacopo, Cricelli Claudio, Lapi Francesco
Department of Systems Medicine, University of Rome "Tor Vergata", Italy.
Health Search, Italian College of General Practitioners and Primary Care, Florence, Italy.
Int J Cardiol. 2016 Nov 15;223:701-705. doi: 10.1016/j.ijcard.2016.08.269. Epub 2016 Aug 17.
There are some inconsistencies on prevalence estimates of familial hypercholesterolemia (FH) in general population across Europe due to variable application of its diagnostic criteria. We aimed to investigate the FH epidemiology in Italy applying the Dutch Lipid Clinical Network (DLCN) score, and two alternative diagnostic algorithms to a primary care database.
We performed a retrospective population-based study using the Health Search IMS Health Longitudinal Patient Database (HSD) and including active (alive and currently registered with their general practitioners (GPs)) patients on December 31, 2014. Cases of FH were identified by applying DLCN score. Two further algorithms, based on either ICD9CM coding for FH or some clinical items adopted by the DLCN, were tested towards DLCN itself as gold standard.
We estimated a prevalence of 0.01% for "definite" and 0.18% for "definite" plus "probable" cases as per the DLCN. Algorithms 1 and 2 reported a FH prevalence of 0.9 and 0.13%, respectively. Both algorithms resulted in consistent specificity (1: 99.10%; 2: 99.9%) towards DLCN, but Algorithm 2 considerably better identified true positive (sensitivity=85.90%) than Algorithm 1 (sensitivity=10.10%).
The application of DLCN or valid diagnostic alternatives in the Italian primary care setting provides estimates of FH prevalence consistent with those reported in other screening studies in Caucasian population. These diagnostic criteria should be therefore fostered among GPs. In the perspective of FH new therapeutic options, the epidemiological picture of FH is even more relevant to foresee the costs and to plan affordable reimbursement programs in Italy.
由于家族性高胆固醇血症(FH)诊断标准的应用存在差异,欧洲普通人群中FH患病率的估计存在一些不一致性。我们旨在应用荷兰脂质临床网络(DLCN)评分以及两种替代诊断算法,对意大利的一个初级保健数据库进行研究,以调查FH的流行病学情况。
我们使用健康搜索IMS健康纵向患者数据库(HSD)进行了一项基于人群的回顾性研究,纳入了2014年12月31日活跃的(存活且当前在其全科医生(GP)处注册)患者。通过应用DLCN评分来识别FH病例。以DLCN本身作为金标准,对另外两种基于FH的ICD9CM编码或DLCN采用的一些临床项目的算法进行了测试。
根据DLCN,我们估计“确诊”病例的患病率为0.01%,“确诊”加“可能”病例的患病率为0.18%。算法1和算法2报告的FH患病率分别为0.9%和0.13%。两种算法对DLCN的特异性均一致(1:99.10%;2:99.9%),但算法2在识别真阳性方面(灵敏度=85.90%)比算法1(灵敏度=10.10%)要好得多。
在意大利初级保健环境中应用DLCN或有效的替代诊断方法,得出的FH患病率估计与白种人群其他筛查研究报告的结果一致。因此,应在全科医生中推广这些诊断标准。从FH新治疗选择的角度来看,FH的流行病学情况对于预测意大利的成本和规划负担得起的报销计划更为重要。