Shibata Mikiko, Sato Kyoko Kogawa, Uehara Shinichiro, Koh Hideo, Kinuhata Shigeki, Oue Keiko, Kambe Hiroshi, Morimoto Michio, Hayashi Tomoshige
Preventive Medicine and Environmental Health, Osaka City University Graduate School of Medicine, Osaka, Japan.
Hematology, Osaka City University Graduate School of Medicine, Osaka, Japan.
J Epidemiol. 2017 Nov;27(11):505-510. doi: 10.1016/j.je.2016.10.010. Epub 2017 Jul 11.
We examined prospectively which of the four blood pressure (BP) components (systolic BP [SBP], diastolic BP [DBP], pulse pressure [PP], and mean arterial pressure [MAP]) was best in predicting the risk of proteinuria.
This prospective study included 9341 non-diabetic Japanese middle-aged men who had no proteinuria and an estimated glomerular filtration rate ≥60 mL/min/1.73 m and were not taking antihypertensive medications at entry. Persistent proteinuria was defined if proteinuria was detected two or more times consecutively and persistently at the annual examination until the end of follow-up. We calculated the difference in values of Akaike's information criterion (ΔAIC) in comparison of the BP components-added model to the model without them in a Cox proportional hazards model.
During the 84,587 person-years follow-up period, we confirmed 151 cases of persistent proteinuria. In multiple-adjusted models that included a single BP component, the hazard ratios for persistent proteinuria for the highest quartile of SBP, PP, and MAP were 3.11 (95% confidence interval [CI], 1.79-5.39), 1.87 (95% CI, 1.18-2.94), and 2.21 (95% CI, 1.33-3.69) compared with the lowest quartile of SBP, PP, and MAP, respectively. The hazard ratio for the highest quartile of DBP was 2.69 (95% CI, 1.65-4.38) compared with the second quartile of DBP. Of all models that included a single BP component, those that included SBP alone or DBP alone had the highest values of ΔAIC (14.0 and 13.1, respectively) in predicting the risk of persistent proteinuria.
Of all BP components, SBP and DBP were best in predicting the risk of persistent proteinuria in middle-aged Japanese men.
我们前瞻性地研究了四种血压(BP)成分(收缩压[SBP]、舒张压[DBP]、脉压[PP]和平均动脉压[MAP])中哪一种在预测蛋白尿风险方面表现最佳。
这项前瞻性研究纳入了9341名无蛋白尿、估计肾小球滤过率≥60 mL/min/1.73 m²且入组时未服用抗高血压药物的非糖尿病日本中年男性。如果在年度检查中连续两次或更多次持续检测到蛋白尿直至随访结束,则定义为持续性蛋白尿。在Cox比例风险模型中,我们计算了添加BP成分的模型与未添加BP成分的模型相比的赤池信息准则(ΔAIC)值差异。
在84587人年的随访期内,我们确认了151例持续性蛋白尿病例。在包含单一BP成分的多因素调整模型中,与SBP、PP和MAP最低四分位数相比,SBP、PP和MAP最高四分位数的持续性蛋白尿风险比分别为3.11(95%置信区间[CI],1.79 - 5.39)、1.87(95%CI,1.18 - 2.94)和2.21(95%CI,1.33 - 3.69)。与DBP第二四分位数相比,DBP最高四分位数的风险比为2.69(95%CI,1.65 - 4.38)。在所有包含单一BP成分的模型中,单独包含SBP或单独包含DBP的模型在预测持续性蛋白尿风险方面具有最高的ΔAIC值(分别为14.0和13.1)。
在所有BP成分中,SBP和DBP在预测日本中年男性持续性蛋白尿风险方面表现最佳。