Daley Matthew F, Reifler Liza M, Johnson Eric S, Sinaiko Alan R, Margolis Karen L, Parker Emily D, Greenspan Louise C, Lo Joan C, O'Connor Patrick J, Magid David J
Institute for Health Research, Kaiser Permanente Colorado, Denver, Colo; Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colo.
Institute for Health Research, Kaiser Permanente Colorado, Denver, Colo.
Acad Pediatr. 2017 Apr;17(3):275-282. doi: 10.1016/j.acap.2016.09.009. Epub 2017 Feb 21.
To develop a model to predict hypertension risk among children with incident elevated blood pressure (BP); to test the external validity of the model.
A retrospective cohort study was conducted in 3 organizations: Kaiser Permanente Colorado was the model derivation site; HealthPartners of Minnesota and Kaiser Permanente Northern California served as external validation sites. During study years 2006 through 2012, all children aged 3 through 17 years with incident elevated BP in an outpatient setting were identified. The predictor variables were demographic and clinical characteristics collected during routine care. Cox proportional hazards regression was used to predict subsequent hypertension, and diagnostic statistics were used to assess model performance.
Among 5598 subjects at the derivation site with incident elevated BP, 160 (2.9%) developed hypertension during the study period. Eight characteristics were used to predict hypertension risk: age, sex, race, BP preceding incident elevated BP, body mass index percentile, systolic BP percentile, diastolic BP percentile, and clinical setting of the incident elevated BP. At the derivation site, the model discriminated well between those at higher versus lower risk of hypertension (c-statistic = 0.77). At external validation sites, the observed risk of hypertension was higher than the predicted risk, and the model showed poor discrimination (c-statistic ranged from 0.64 to 0.67).
Among children with incident elevated BP, a risk model demonstrated good internal validity with respect to predicting subsequent hypertension. However, the risk model did not perform well at 2 external validation sites, which might limit transportability to other settings.
建立一个模型来预测血压初发升高儿童的高血压风险;检验该模型的外部有效性。
在3个机构开展一项回顾性队列研究:科罗拉多州凯撒医疗机构是模型推导地点;明尼苏达州健康合作伙伴公司和北加利福尼亚州凯撒医疗机构作为外部验证地点。在2006年至2012年研究期间,识别出所有在门诊环境中血压初发升高的3至17岁儿童。预测变量为常规护理期间收集的人口统计学和临床特征。采用Cox比例风险回归预测后续高血压,并使用诊断统计量评估模型性能。
在推导地点的5598名血压初发升高的受试者中,160人(2.9%)在研究期间发生高血压。8个特征用于预测高血压风险:年龄、性别、种族、血压初发升高前的血压、体重指数百分位数、收缩压百分位数、舒张压百分位数以及血压初发升高的临床环境。在推导地点,该模型在高血压高风险和低风险人群之间有良好的区分度(c统计量 = 0.77)。在外部验证地点,观察到的高血压风险高于预测风险,且该模型显示出较差的区分度(c统计量范围为0.64至0.67)。
在血压初发升高的儿童中,一个风险模型在预测后续高血压方面显示出良好的内部有效性。然而,该风险模型在2个外部验证地点表现不佳,这可能会限制其在其他环境中的可转移性。