Luxia ZhangMD, MPH

Associate Dean, National Institute of Health Data Science

Clinical Professor of Peking University First Hospital

Contact Info

zhanglx@bjmu.edu.cn

No.38 Xueyuan Rd.; Haidian District; Beijing; China. 100091

Education & Postdoctoral Training

1994.9-1999.7 B.S. Medicine Health Science Center, Peking University

1999.9-2004.7 M.D. Internal Medicine Health Science Center, Peking University

2008.11-2010.5 MPH Public Health Harvard School of Public Health

01/2000-02/2003 Resident Internal Medicine Peking University First Hospital

01/2004-12/2004 Clinical Fellow Nephrology Peking University First Hospital

01/2004-03/2005 Research Fellow Nephrology Peking University First Hospital

06/2008-05/2010 Research Fellow Nephrology Public health Harvard School of Public Health,Brigham and Women’s Hospital


Academic Appointment

08/2011-08/2017 Associate Professor of Peking University, Beijing, China

09/2017- Professor of Peking University, Beijing, China 

Hospital Appointment

03/2003-06/2004 Chief Resident of Peking University First Hospital, Beijing, China

07/2004-05/2008 Attending Physician of Peking University First Hospital, Beijing, China

05/2010-08/2016 Clinical Associate Professor of Peking University First Hospital, Beijing, China

08/2016- Clinical Professor of Peking University First Hospital, Beijing, China


Major Administrative Responsibilities

11/2016-08/2017 Executive Deputy Director, Peking University, Center for Data Science in Health and Medicine, Beijing, China

04/2018-01/2021 Assistant Dean, National Institute of Health Data Science at Peking University, Beijing, China

01/2021- Deputy Dean, National Institute of Health Data Science


Major Committee Assignments

12/2017- Vice President, Commission of Health Data Science and Digital Health, China International Exchange and Promotion Association for Medical and Health

09/2014- Vice President, Beijing Young Nephrologist Association

01/2017- Steering Committee, CKD Prognosis Consortium

04/2016-04/2018 Member of the Planning Committee, “Change in Albuminuria and GFR as End Points for Clinical Trials in Early Stages of Chronic Kidney Disease” Workshop (sponsored by the National Kidney Foundation, in partnership the US Food and Drug Administration and the European Medicines Agency)


Editorial Board

04/2014- Editorial board member, American Journal of Kidney Disease

01/2010- Ad hoc reviewer for British Medical Journal, Lancet Digital Health, Journal of the American Society of Nephrology, Kidney International, American Journal of Kidney Disease, Nephrology Dialysis Transplantation, and Nephrology.


Major Awards and Honors

2009   New Century Talent Supporting Project by Ministry of Education, China

2012   Award for Outstanding Young Investigator in Xicheng District; Beijing, China

2015   Chinese Science and Technology Award for Preventive Medicine, Second Prize

2016   Young Investigator in Chinese Society of Nephrology; Chonging, China


Invited International Presentations

2006 Estimation of glomerular filtration rate – practice in China / Plenary Talk 7th Annual General Meeting of Hong Kong Society of Clinical Chemistry, Hong Kong, China


2008 Chronic kidney disease in China/Plenary Talk 11th Asian Pacific Congress of Nephrology


2013 New Findings from CKD cohort studies from China/Plenary Talk ISN World Congress of Nephrology 2013


2013 Phosphate-binder in CKD: When to initiate therapy/Plenary Talk 7th Meeting of the Asian Forum of CKD initiative


2015 Prevalence and Incidence of Renal Disease in China   2015 World Congress of Nephrology Satellite Symposium, Cape Town, South Africa


2015 Status of Renal Disease Prevention in China  16th Asian Renal Association-Asian Nephrology Conference, Kaohsiung, Taiwan


2017 Integrated Health Care Policies  2017 ISN World Congress of Nephrology, Mexico


2018 Hospital-Based CKD Surveillance in China  ASN Kidney Week 2018,  San Diego


2019 CKD care in China: Challenges and opportunities in country of 1 billion people 2019 ISN World Congress of Nephrology, Melbourne



Narrative Report of Research Contributions

My researches focused on the burden, management and medical resources allocation of non-communicable chronic diseases (especially for kidney disease) in China and worldwide, by leveraging the power of big data, artificial intelligence and other cutting-edge technologies as well.  The synergy between my training in nephrology and in epidemiology has produced a strong interest in “population-level strategy”.  Much of my work has provide first-hand evidence of kidney disease and other major diseases in China, and examined existing beliefs, often motivating important changes in policy making, clinical practice and understanding.

Starting from 2004, our team has initiated studies regarding the prevalence, risk factors, intervention and management of kidney disease in China, and has produced solid evidence in the area.  In 2012, based on a nation-wide survey, we reported the prevalence of chronic kidney disease in China was 10.8% in Lancet (2012; 379:815-822), which drew attention of health authorities in China and included kidney disease into public health service.  In 2016, we described that diabetic kidney disease has outnumbered glomerulonephritis and became the major cause of kidney disease in China, which was published in N Engl J Med (2016; 375:905-6).  Furthermore, our team were able to generated two editions of scientific report of kidney disease in China, which were published in top kidney journals and were submitted to National Commission of Health of China as the evidence for policy-making. Based on those databases, we have also expanded our research into other major diseases including hypertension and diabetes.  During the last three years, I have been closely collaborated with data scientists in China, European and United States, focusing on leveraging the power of big data, artificial intelligence and block chain to improve the estimation of medical resources allocation and health policies. Based on my expertise, I was invited by BMJ  (2018; 360:j5910) to discuss about big data in China and its application in medical research.

BIBLIOGRAPHY(Full Paper List)

Highlight publications
1.Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in china: A cross-sectional survey. Lancet. 2012;379:815-822
2.Zhang L, Long J, Jiang W, Shi Y, He X, Zhou Z, Li Y, Yeung RO, Wang J, Matsushita K, Coresh J, Zhao MH, Wang H. Trends in Chronic Kidney Disease in China. N Engl J Med. 2016 Sep 1;375(9):905-6
3.Zhang L, Wang H, Li Q, Zhao MH, Zhan QM. Big data and medical research in China. BMJ. 2018 Feb 5;360:j5910
4.Zhang L, Zhao M-H, Zuo L, Wang Y, Yu F, Zhang H, Wang H, CK-NET Work Group. China Kidney Disease Network (CK-NET) 2016 Annual Data Report. Kidney Int Suppl (2011) 2020  Dec;10(2):e97-e185.
5.Zhang L, Zhao MH, Zuo L, et al., for the CK-NET Work Group, China Kidney Disease Network (CK-NET) 2015 Annual Data Report. Kidney Int Suppl. 2019 Feb;9:e1-e81
6.Zhang L, Wang H, Long J, Shi Y, Bai K, Jiang W, He X, Zhou Z, Wang J, Wang F, Huang JF, Zhao M. China Kidney Disease Network (CK-NET) 2014 Annual Data Report. Am J Kidney Dis. 2017 Jun;69(6S2):A4

Other Publications
1.Zhang L, Curhan GC, Forman JP. Diet-dependent net acid load and risk of incident hypertension in united states women. Hypertension. 2009;54:751-755
2.Zhang L, Wang H. Chronic kidney disease epidemic: Cost and health care implications in china. Semin Nephrol. 2009;29:483-486