Lifestyle and chronic kidney disease: A machine learning modeling study

作者全名："Luo, Wenjin; Gong, Lilin; Chen, Xiangjun; Gao, Rufei; Peng, Bin; Wang, Yue; Luo, Ting; Yang, Yi; Kang, Bing; Peng, Chuan; Ma, Linqiang; Mei, Mei; Liu, Zhiping; Li, Qifu; Yang, Shumin; Wang, Zhihong; Hu, Jinbo"

作者地址："[Luo, Wenjin; Gong, Lilin; Chen, Xiangjun; Wang, Yue; Luo, Ting; Yang, Yi; Ma, Linqiang; Mei, Mei; Liu, Zhiping; Li, Qifu; Yang, Shumin; Wang, Zhihong; Hu, Jinbo] Chongqing Med Univ, Affiliated Hosp 1, Dept Endocrinol, Chongqing, Peoples R China; [Gao, Rufei] Chongqing Med Univ, Sch Publ Hlth & Management, Lab Reprod Biol, Chongqing, Peoples R China; [Peng, Bin] Chongqing Med Univ, Sch Publ Hlth & Management, Chongqing, Peoples R China; [Kang, Bing] Chongqing Med Univ, Affiliated Hosp 1, Dept Clin Nutr, Chongqing, Peoples R China; [Peng, Chuan] Chongqing Med Univ, Affiliated Hosp 1, Chongqing Key Lab Translat Med Major Metab Dis, Chongqing, Peoples R China"

通信作者："Wang, ZH; Hu, JB (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Endocrinol, Chongqing, Peoples R China."

来源：FRONTIERS IN NUTRITION

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000837227000001

JCR分区：Q2

影响因子：5

年份：2022

卷号：9

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：lifestyle; chronic kidney disease; machine learning; scoring system; cohort study

摘要："BackgroundIndividual lifestyle varies in the real world, and the comparative efficacy of lifestyles to preserve renal function remains indeterminate. We aimed to systematically compare the effects of lifestyles on chronic kidney disease (CKD) incidence, and establish a lifestyle scoring system for CKD risk identification. MethodsUsing the data of the UK Biobank cohort, we included 470,778 participants who were free of CKD at the baseline. We harnessed the light gradient boosting machine algorithm to rank the importance of 37 lifestyle factors (such as dietary patterns, physical activity (PA), sleep, psychological health, smoking, and alcohol) on the risk of CKD. The lifestyle score was calculated by a combination of machine learning and the Cox proportional-hazards model. A CKD event was defined as an estimated glomerular filtration rate <60 ml/min/1.73 m(2), mortality and hospitalization due to chronic renal failure, and self-reported chronic renal failure, initiated renal replacement therapy. ResultsDuring a median of the 11-year follow-up, 13,555 participants developed the CKD event. Bread, walking time, moderate activity, and vigorous activity ranked as the top four risk factors of CKD. A healthy lifestyle mainly consisted of whole grain bread, walking, moderate physical activity, oat cereal, and muesli, which have scored 12, 12, 10, 7, and 7, respectively. An unhealthy lifestyle mainly included white bread, tea >4 cups/day, biscuit cereal, low drink temperature, and processed meat, which have scored -12, -9, -7, -4, and -3, respectively. In restricted cubic spline regression analysis, a higher lifestyle score was associated with a lower risk of CKD event (p for linear relation < 0.001). Compared to participants with the lifestyle score < 0, participants scoring 0-20, 20-40, 40-60, and >60 exhibited 25, 42, 55, and 70% lower risk of CKD event, respectively. The C-statistic of the age-adjusted lifestyle score for predicting CKD events was 0.710 (0.703-0.718). ConclusionA lifestyle scoring system for CKD prevention was established. Based on the system, individuals could flexibly choose healthy lifestyles and avoid unhealthy lifestyles to prevent CKD."

基金机构："National Natural Science Foundation of China [81870567, 81800731, 81970720, 81800757]; National Key Research and Development plan; National Key Research and Development plan, Major Project of Precision Medicine Research [2017YFC0909600, 2017YFC0909602, 2017YFC0909603]; Bethune Merck Diabetes Research Foundation [G2018030]; Technological Innovation and Application Development Project of Chongqing [cstc2019jscx-msxmX0207]; Chongqing Science and Health Joint Medical Research Project [2020FYYX141]; China International Medical Foundation [Z-2017-26-1902-2]; High-end Medical Talents of Middle-aged and Young People in Chongqing [yuweiren (2015) 49]; Yong and Middle-aged Senior Medical Talents studio of Chongqing [ZQNYXGDRCGZS2021001]; Chongqing Outstanding Youth Funds [cstc2019jcyjjq0006]; Outstanding Talents of the First Affiliated Hospital of Chongqing Medical University [2019-4-22]"

基金资助正文："This work was supported by the National Natural Science Foundation of China (81870567, 81800731, 81970720, and 81800757), the National Key Research and Development plan, Major Project of Precision Medicine Research (2017YFC0909600, sub-project: 2017YFC0909602, and 2017YFC0909603), the Bethune Merck Diabetes Research Foundation (G2018030), the Technological Innovation and Application Development Project of Chongqing (cstc2019jscx-msxmX0207), the Chongqing Science and Health Joint Medical Research Project (2020FYYX141), the China International Medical Foundation (Z-2017-26-1902-2), the High-end Medical Talents of Middle-aged and Young People in Chongqing [yuweiren (2015) 49], the Yong and Middle-aged Senior Medical Talents studio of Chongqing (ZQNYXGDRCGZS2021001), the Chongqing Outstanding Youth Funds (cstc2019jcyjjq0006), and the Outstanding Talents of the First Affiliated Hospital of Chongqing Medical University 2019 (to JH, 2019-4-22)."