Development of Predictive Equations for Nocturnal Hypertension and Nondipping Systolic Blood Pressure

被引:10
作者
Jaeger, Byron C. [2 ]
Booth, John N., III [3 ]
Butler, Mark [4 ]
Edwards, Lloyd J. [2 ]
Lewis, Cora E. [3 ]
Lloyd-Jones, Donald M. [5 ]
Sakhuja, Swati [3 ]
Schwartz, Joseph E. [6 ,7 ]
Shikany, James M. [1 ]
Shimbo, Daichi [7 ]
Yano, Yuichiro [8 ]
Muntner, Paul [3 ]
机构
[1] Univ Alabama Birmingham, Dept Med, Div Prevent Med, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Dept Biostat, Birmingham, AL 35294 USA
[3] Univ Alabama Birmingham, Dept Epidemiol, Birmingham, AL USA
[4] NYU, Sch Med, Dept Populat Hlth Sci, New York, NY USA
[5] Northwestern Univ, Dept Prevent Med, Evanston, IL USA
[6] Stony Brook Sch Med, Dept Psychiat, Stony Brook, NY USA
[7] Columbia Univ, Dept Med, Med Ctr, New York, NY USA
[8] Duke Univ, Dept Community & Family Med, Durham, NC USA
来源
JOURNAL OF THE AMERICAN HEART ASSOCIATION | 2020年 / 9卷 / 02期
基金
美国国家卫生研究院;
关键词
ambulatory; blood pressure; nocturnal hypertension; nondipping; predictive equation; validation; NET RECLASSIFICATION; REPRODUCIBILITY; ASSOCIATION; IMPROVEMENT; ACCURACY; SOCIETY; MODELS;
D O I
10.1161/JAHA.119.013696
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Nocturnal hypertension, defined by a mean asleep systolic blood pressure (SBP)/diastolic blood pressure (BP) >= 120/70 mm Hg, and nondipping SBP, defined by an awake-to-asleep decline in SBP <10%, are each associated with increased risk for cardiovascular disease. Methods and Results We developed predictive equations to identify adults with a high probability of having nocturnal hypertension or nondipping SBP using data from the CARDIA (Coronary Artery Risk Development in Young Adults) study (n=787), JHS (Jackson Heart Study) (n=1063), IDH (Improving the Detection of Hypertension) study (n=395), and MHT (Masked Hypertension) study (n=772) who underwent 24-hour ambulatory BP monitoring. Participants were randomized to derivation (n=2511) or validation (n=506) data sets. The prevalence rates of nocturnal hypertension and nondipping SBP were 39.7% and 44.9% in the derivation data set, respectively, and 36.6% and 44.5% in the validation data set, respectively. The predictive equation for nocturnal hypertension included age, race/ethnicity, smoking status, neck circumference, height, high-density lipoprotein cholesterol, albumin/creatinine ratio, and clinic SBP and diastolic BP. The predictive equation for nondipping SBP included age, sex, race/ethnicity, waist circumference, height, alcohol use, high-density lipoprotein cholesterol, and albumin/creatinine ratio. Concordance statistics (95% CI) for nocturnal hypertension and nondipping SBP predictive equations in the validation data set were 0.84 (0.80-0.87) and 0.73 (0.69-0.78), respectively. Compared with reference models including antihypertensive medication use and clinic SBP and diastolic BP as predictors, the continuous net reclassification improvement (95% CI) values for the nocturnal hypertension and nondipping SBP predictive equations were 0.52 (0.35-0.69) and 0.51 (0.34-0.69), respectively. Conclusions These predictive equations can direct ambulatory BP monitoring toward adults with high probability of having nocturnal hypertension and nondipping SBP.
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页数:48
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