Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Center for Obesity and Metabolic Diseases, Korea University Anam Hospital, Seoul, Republic of Korea.
PLoS One. 2018 Jun 28;13(6):e0199913. doi: 10.1371/journal.pone.0199913. eCollection 2018.
A quantitative basis for the use of dipstick urinalysis for risk assessment of all-cause mortality is scarce. Therefore, we investigated the association between dipstick proteinuria and all-cause mortality in a general population and evaluated the effect of confounders on this association.
The study population included 17,342,956 adults who underwent health examinations between 2005 and 2008 under the National Health Insurance System. Proteinuria was determined using a single dipstick urinalysis, and the primary outcome of this study was all-cause mortality. The prognostic impact of proteinuria was assessed by constructing a multivariable Cox model.
The mean age of the study population (53.24% male) was 46.06 years; 724,681 deaths from all causes occurred over a median follow-up period of 9.34 years (interquartile range 8.17-10.16), and the maximum follow-up was 12.12 years. After full adjustment for covariates, a higher level of dipstick proteinuria indicated a higher risk of all-cause death [Hazard ratios (95% confidence intervals); 1.22 (1.20-1.24), 1.47 (1.45-1.49), 1.81 (1.77-1.84), 2.32 (2.24-2.41), 2.74 (2.54-2.96); trace to 4+, respectively], and various subgroup analyses did not affect the main outcome for the total population. ≥1+ proteinuria in the group without metabolic diseases (hypertension, diabetes, dyslipidemia, or obesity) resulted in higher hazard ratios than those in the group with metabolic diseases and negative or trace proteinuria.
Our study showed a strong association between dipstick proteinuria and all-cause mortality in this nationwide population-based cohort in South Korea.
用于评估全因死亡率风险的尿干化学分析的定量依据很少。因此,我们研究了一般人群中尿干化学分析蛋白尿与全因死亡率之间的关系,并评估了混杂因素对这种关系的影响。
本研究人群包括 2005 年至 2008 年期间在国家健康保险制度下接受体检的 17342956 名成年人。蛋白尿使用单尿干化学分析确定,本研究的主要结局为全因死亡率。通过构建多变量 Cox 模型评估蛋白尿的预后影响。
研究人群的平均年龄(53.24%为男性)为 46.06 岁;中位随访期为 9.34 年(四分位间距 8.17-10.16),共发生 724681 例全因死亡,最长随访时间为 12.12 年。在充分调整协变量后,尿干化学分析蛋白尿水平越高,全因死亡风险越高[风险比(95%置信区间);1.22(1.20-1.24),1.47(1.45-1.49),1.81(1.77-1.84),2.32(2.24-2.41),2.74(2.54-2.96);分别为痕量至 4+],且各种亚组分析均未影响全人群的主要结局。在无代谢疾病(高血压、糖尿病、血脂异常或肥胖)的人群中,≥1+蛋白尿组的风险比高于有代谢疾病和阴性或痕量蛋白尿组。
本研究显示,在韩国这个全国性基于人群的队列中,尿干化学分析蛋白尿与全因死亡率之间存在很强的关联。