Cuspidi Cesare, Tadic Marijana, Mancia Giuseppe, Grassi Guido
Department of Health Science, Clinica Medica, University of Milano-Bicocca, Milano, Italy.
Istituto Auxologico Italiano IRCCS, Milano, Italy.
Korean Circ J. 2018 Jul;48(7):552-564. doi: 10.4070/kcj.2018.0167.
The clinical prognostic importance of white coat hypertension (WCH), that is, the clinical condition characterized by an increase of office but a normal ambulatory or home blood pressure (BP) is since a long time matter of considerable debate. WCH accounts for a consistent portion of hypertensive patients (up to 30-40%), particularly when hypertension is mild or age is more advanced. Although scanty and inconsistent information is available on the response of office and out-office BP to antihypertensive treatment and the cardiovascular (CV) protection provided by treatment, an increasing body of evidence focusing on the association of WCH with CV risk factors, subclinical cardiac and extra-cardiac organ damage and, more importantly, with CV events indicates that the risk entailed by this condition is intermediate between true normotension and sustained hypertension. This review will address a number of issues concerning WCH with particular attention to prevalence and clinical correlates, relation with subclinical target organ damage and CV morbidity/mortality, therapeutic perspectives. Several topics covered in this review are based on data acquired over the past 20 years by the Pressioni Arteriose Monitorate E Loro Associazioni (PAMELA) study, a longitudinal survey performed by our group on the general population living in the surroundings of Milan area in the north part of Italy.
白大衣高血压(WCH),即表现为诊室血压升高但动态血压或家庭血压正常的临床状况,其临床预后重要性长期以来一直是备受争议的问题。WCH在高血压患者中占相当比例(高达30%-40%),尤其是在轻度高血压或年龄较大的患者中。尽管关于诊室血压和诊室外血压对抗高血压治疗的反应以及治疗所提供的心血管(CV)保护的信息匮乏且不一致,但越来越多的证据聚焦于WCH与CV危险因素、亚临床心脏和心脏外器官损害,更重要的是与CV事件的关联,表明这种情况所带来的风险介于真正的血压正常和持续性高血压之间。本综述将探讨一些与WCH相关的问题,特别关注患病率和临床相关性、与亚临床靶器官损害及CV发病率/死亡率的关系、治疗前景。本综述涵盖的几个主题基于我们团队在意大利北部米兰地区周边对普通人群进行的一项纵向调查——动脉压监测及其关联研究(PAMELA)在过去20年中获取的数据。