A brief talk about integrated management strategy of chronic kidney disease in China_West China Medical Journal

Authors：

 FU Ping , LIU Jing

Department of Nephrology / Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding author：

FU Ping, Email: fupinghx@163.com

Keywords：

Chronic kidney disease; Intelligent medicine; Integrated management strategy

DOI：

10.7507/1002-0179.201906100

Video：

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Chronic kidney disease (CKD) has been highlighted as one of the most important public health problems due to sharply climbing incidence and prevalence. To efficiently attenuate the disease burden and improve the disease management, not only active and effective treatment should be administrated, but also comprehensive follow-up nursing management with innovative and evolving spirits should be implemented. Thus dynamic changes of diseases could be acquired in time and patients are under appropriate medical instruction as soon as possible. This editorial is based on quickly developing medical big data resources and advanced internet techniques, from both aspects of patients and health care providers, briefly talking about integrated management strategy of CKD and its future development in China.

Citation： FU Ping, LIU Jing. A brief talk about integrated management strategy of chronic kidney disease in China. West China Medical Journal, 2019, 34(7): 723-726. doi: 10.7507/1002-0179.201906100 Copy

1.	Nugent RA, Fathima SF, Feigl AB, et al. The burden of chronic kidney disease on developing nations: a 21st century challenge in global health. Nephron Clin Pract, 2011, 118(3): c269-c277.
2.	Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet, 2012, 379(9818): 815-822.
3.	Zhang L, Zuo L, Yu F, et al. China kidney disease network (CK-NET) 2015 annual data report. Kidney Int Suppl, 2019, 9(1): e1-e81.
4.	Xu Y, Wang LM, He J, et al. Prevalence and control of diabetes in Chinese adults. JAMA, 2013, 310(9): 948-959.
5.	Wang Z, Chen Z, Zhang L, et al. Status of hypertension in China: results from the China hypertension survey, 2012-2015. Circulation, 2018, 137(22): 2344-2356.
6.	Wu IW, Wang SY, Hsu KH, et al. Multidisciplinary predialysis education decreases the incidence of dialysis and reduces mortality-a controlled cohort study based on the NKF/DOQI guidelines. Nephrol Dial Transplant, 2009, 24(11): 3426-3433.
7.	Liu ZH. Nephrology in China. Nat Rev Nephrol, 2013, 9(9): 523-528.
8.	Amdur RL, Feldman HI, Dominic EA, et al. Use of measures of inflammation and kidney function for prediction of atherosclerotic vascular disease events and death in patients with CKD: findings from the CRIC study. Am J Kidney Dis, 2019, 73(3): 344-353.
9.	Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med, 2019, 25(1): 24-29.
10.	Kolachalama VB, Singh P, Lin CQ, et al. Association of pathological fibrosis with renal survival using deep neural networks. Kidney Int Rep, 2018, 3(2): 464-475.
11.	Zhou L, Zeng XX, Fu P. Community hemodialysis in China: opportunities and challenges. Chin Med J (Engl), 2017, 130(18): 2143-2146.
12.	Chen CC, Chen Y, Liu X, et al. The efficacy of a nurse-led disease management program in improving the quality of life for patients with chronic kidney disease: a meta-analysis. PLoS One, 2016, 11(5): e0155890.
13.	中华人民共和国中央人民政府. 中共中央关于国务院印发《" 健康中国2030”规划纲要》. (2016-10-25)[2019-07-07]. http://www.gov.cn/zhengce/2016-10/25/content_5124174.htm.
14.	中华人民共和国中央人民政府. 国务院办公厅关于促进" 互联网+医疗健康”发展的意见(国办发[2018] 26号). (2018-04-25)[2019-07-07]. http://www.gov.cn/zhengce/content/2018-04/28/content_5286645.htm.
15.	中华人民共和国国家卫生健康委员会, 中华人民共和国国家中医药管理局. 关于深入开展" 互联网+医疗健康”便民惠民活动的通知(国卫规划发[2018] 22号). (2018-07-12)[2019-07-07]. http://www.nhc.gov.cn/guihuaxxs/s10743/201807/bc3cf2fdc18e456aabfdadc9788005c2.shtml.
16.	Galbraith L, Jacobs C, Hemmelgarn BR, et al. Chronic disease management interventions for people with chronic kidney disease in primary care: a systematic review and meta-analysis. Nephrol Dial Transplant, 2018, 33(1): 112-121.
17.	Medicare.gov. Dialysis facility compare. (2019-05-17)[2019-07-07]. https://www.medicare.gov/dialysisfacilitycompare/.
18.	CMS.gov. ESRD quality incentive program. (2018-07-03)[2019-07-07]. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/ESRDQIP/index.html.

1. Nugent RA, Fathima SF, Feigl AB, et al. The burden of chronic kidney disease on developing nations: a 21st century challenge in global health. Nephron Clin Pract, 2011, 118(3): c269-c277.
2. Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet, 2012, 379(9818): 815-822.
3. Zhang L, Zuo L, Yu F, et al. China kidney disease network (CK-NET) 2015 annual data report. Kidney Int Suppl, 2019, 9(1): e1-e81.
4. Xu Y, Wang LM, He J, et al. Prevalence and control of diabetes in Chinese adults. JAMA, 2013, 310(9): 948-959.
5. Wang Z, Chen Z, Zhang L, et al. Status of hypertension in China: results from the China hypertension survey, 2012-2015. Circulation, 2018, 137(22): 2344-2356.
6. Wu IW, Wang SY, Hsu KH, et al. Multidisciplinary predialysis education decreases the incidence of dialysis and reduces mortality-a controlled cohort study based on the NKF/DOQI guidelines. Nephrol Dial Transplant, 2009, 24(11): 3426-3433.
7. Liu ZH. Nephrology in China. Nat Rev Nephrol, 2013, 9(9): 523-528.
8. Amdur RL, Feldman HI, Dominic EA, et al. Use of measures of inflammation and kidney function for prediction of atherosclerotic vascular disease events and death in patients with CKD: findings from the CRIC study. Am J Kidney Dis, 2019, 73(3): 344-353.
9. Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med, 2019, 25(1): 24-29.
10. Kolachalama VB, Singh P, Lin CQ, et al. Association of pathological fibrosis with renal survival using deep neural networks. Kidney Int Rep, 2018, 3(2): 464-475.
11. Zhou L, Zeng XX, Fu P. Community hemodialysis in China: opportunities and challenges. Chin Med J (Engl), 2017, 130(18): 2143-2146.
12. Chen CC, Chen Y, Liu X, et al. The efficacy of a nurse-led disease management program in improving the quality of life for patients with chronic kidney disease: a meta-analysis. PLoS One, 2016, 11(5): e0155890.
13. 中华人民共和国中央人民政府. 中共中央关于国务院印发《" 健康中国2030”规划纲要》. (2016-10-25)[2019-07-07]. http://www.gov.cn/zhengce/2016-10/25/content_5124174.htm.
14. 中华人民共和国中央人民政府. 国务院办公厅关于促进" 互联网+医疗健康”发展的意见(国办发[2018] 26号). (2018-04-25)[2019-07-07]. http://www.gov.cn/zhengce/content/2018-04/28/content_5286645.htm.
15. 中华人民共和国国家卫生健康委员会, 中华人民共和国国家中医药管理局. 关于深入开展" 互联网+医疗健康”便民惠民活动的通知(国卫规划发[2018] 22号). (2018-07-12)[2019-07-07]. http://www.nhc.gov.cn/guihuaxxs/s10743/201807/bc3cf2fdc18e456aabfdadc9788005c2.shtml.
16. Galbraith L, Jacobs C, Hemmelgarn BR, et al. Chronic disease management interventions for people with chronic kidney disease in primary care: a systematic review and meta-analysis. Nephrol Dial Transplant, 2018, 33(1): 112-121.
17. Medicare.gov. Dialysis facility compare. (2019-05-17)[2019-07-07]. https://www.medicare.gov/dialysisfacilitycompare/.
18. CMS.gov. ESRD quality incentive program. (2018-07-03)[2019-07-07]. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/ESRDQIP/index.html.

West China Medical Journal

A brief talk about integrated management strategy of chronic kidney disease in China

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