Ma Chuanwei, Kelishadi Roya, Hong Young Mi, Bovet Pascal, Khadilkar Anuradha, Nawarycz Tadeusz, Krzywińska-Wiewiorowska Małgorzata, Aounallah-Skhiri Hajer, Zong Xin'nan, Motlagh Mohammad Esmaeil, Kim Hae Soon, Khadilkar Vaman, Krzyżaniak Alicja, Ben Romdhane Habiba, Heshmat Ramin, Chiplonkar Shashi, Stawińska-Witoszyńska Barbara, El Ati Jalila, Qorbani Mostafa, Kajale Neha, Traissac Pierre, Ostrowska-Nawarycz Lidia, Ardalan Gelayol, Parthasarathy Lavanya, Zhao Min, Xi Bo
From the Department of Epidemiology, School of Public Health, Shandong University, Jinan, China (C.M., B.X.); Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non Communicable Disease, Isfahan University of Medical Sciences, Iran (R.K., G.A.); Department of Pediatrics, Ewha Womans University School of Medicine, Seoul, Korea (Y.M.H., H.S.K.); Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Switzerland (P.B.); Growth and Endocrine Unit, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, India (A. Khadilkar, V.K., S.C., N.K., L.P.); Department of Biophysics, Chair of Experimental and Clinical Physiology, Medical University of Lodz, Poland (T.N., L.O.-N.); Department of Epidemiology, Poznan University of Medical Sciences, Poland (M.K.-W., A. Krzyżaniak, B.S.-W.); National Institute of Public Health (INSP), Tunis, Tunisia (H.A.-S.); Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China (X.Z.); Department of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Iran (M.E.M.); Cardiovascular Epidemiology and Prevention, Research Laboratory, Faculty of Medicine, University Tunis El Manar, Tunisia (H.B.R.); Department of Epidemiology, Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Iran (R.H.); Nutrition Surveillance and Epidemiology Unit (SURVEN), National Institute of Nutrition and Food Technology, Tunis, Tunisia (J.E.A.); Department of Community Medicine, Alborz University of Medical Sciences, Karaj, Iran (M.Q.); Institut de Recherche pour le Développement (IRD), UMR NUTRIPASS IRD-UM-SupAgro, Montpellier, France (P.T.); and Department of Nutrition and Food Hygiene, School of Public Health, Shandong University, Jinan, China (M.Z.).
Hypertension. 2016 Sep;68(3):614-20. doi: 10.1161/HYPERTENSIONAHA.116.07659. Epub 2016 Jul 18.
The identification of elevated blood pressure (BP) in children and adolescents relies on complex percentile tables. The present study compares the performance of 11 simplified methods for assessing elevated or high BP in children and adolescents using individual-level data from 7 countries. Data on BP were available for a total of 58 899 children and adolescents aged 6 to 17 years from 7 national surveys in China, India, Iran, Korea, Poland, Tunisia, and the United States. Performance of the simplified methods for screening elevated or high BP was assessed with receiver operating characteristic curve (area under the curve), sensitivity, specificity, positive predictive value, and negative predictive value. When pooling individual data from the 7 countries, all 11 simplified methods performed well in screening high BP, with high area under the curve values (0.84-0.98), high sensitivity (0.69-1.00), high specificity (0.87-1.00), and high negative predictive values (≥0.98). However, positive predictive value was low for most simplified methods, but reached ≈0.90 for each of the 3 methods, including sex- and age-specific BP references (at the 95th percentile of height), the formula for BP references (at the 95th percentile of height), and the simplified method relying on a child's absolute height. These findings were found independently of sex, age, and geographical location. Similar results were found for simplified methods for screening elevated BP. In conclusion, all 11 simplified methods performed well for identifying high or elevated BP in children and adolescents, but 3 methods performed best and may be most useful for screening purposes.
儿童和青少年高血压的识别依赖于复杂的百分位数表。本研究使用来自7个国家的个体水平数据,比较了11种用于评估儿童和青少年高血压或血压升高的简化方法的性能。来自中国、印度、伊朗、韩国、波兰、突尼斯和美国的7项全国性调查共提供了58899名6至17岁儿童和青少年的血压数据。通过受试者工作特征曲线(曲线下面积)、敏感性、特异性、阳性预测值和阴性预测值来评估简化方法筛查高血压或血压升高的性能。将7个国家的个体数据合并后,所有11种简化方法在筛查高血压方面表现良好,曲线下面积值较高(0.84 - 0.98),敏感性较高(0.69 - 1.00),特异性较高(0.87 - 1.00),阴性预测值较高(≥0.98)。然而,大多数简化方法的阳性预测值较低,但包括性别和年龄特异性血压参考值(身高第95百分位数)、血压参考值公式(身高第95百分位数)以及依赖儿童绝对身高的简化方法在内的3种方法的阳性预测值均达到约0.90。这些发现与性别、年龄和地理位置无关。筛查血压升高的简化方法也得到了类似结果。总之,所有11种简化方法在识别儿童和青少年高血压或血压升高方面表现良好,但3种方法表现最佳,可能对筛查目的最有用。