Journal of Peking University(Health Sciences) ›› 2018, Vol. 50 ›› Issue (3): 495-500. doi: 10.3969/j.issn.1671-167X.2018.03.017

• Article • Previous Articles     Next Articles

Impact of anemia and chronic kidney disease on the risk of cardiovascular disease and all-cause mortality among diabetic patients

YANG Chao1, WANG Jin-wei1, YANG Yao-zheng1, BAI Kun-hao1, GAO Bi-xia1, ZHAO Ming-hui1, ZHANG Lu-xia1,2, WU Shou-ling3, WANG Fang1△   

  1. (1. Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; 2. Peking University, Center for Data Science in Health and Medicine, Beijing 100191, China; 3. Department of Cardiology, Kailuan Hospital Affiliated to Hebei United University, Tangshan 063000, Hebei, China)
  • Online:2018-06-18 Published:2018-06-18
  • Contact: WANG Fang E-mail:wangfang@bjmu.edu.cn
  • Supported by:
    Supported by the National Key Research and Development Program of China during the 13th Five-Year Plan (2016YFC1305400) and Fund for Young Physicians in Clinical Diagnosis and Treatment of Anemia in China

Abstract: Objective: To explore the association between anemia and cardiovascular disease and all-cause mortality among diabetic patients, and whether the association is modified by the presence of chro-nic kidney disease (CKD). Methods: Physical examination data of 8 563 patients with diabetes who met the inclusion and exclusion criteria between 2010 and 2011 were collected, based on the prospective cohort data of Kailuan study. The deadline of the follow-up was December 31, 2015, and the endpoints comprised all-cause mortality and cardiovascular disease. Survival analysis was performed by Kaplan-Meier method. Cox proportional hazards regression model was used to assess the association between anemia with or without CKD, and cardiovascular events and all-cause mortality after adjustment for confounding factors. Results: The average age of the subjects was (57.3±10.3) years, of whom the patients with anemia accounted for 5.2%. The proportion of the patients with anemia combined with CKD was higher than that of the patients without anemia (27.2% vs. 20.8%, P=0.001). The median follow-up time was 4.9 years (interquartile range: 4.6-5.2 years). During the follow-up period, 559 patients died, and 434 patients had cardiovascular disease. Compared with the patients without anemia, the all-cause mortality rate of the patients with anemia was higher (3 220.3/100 000 person-years vs. 1 257.9/100 000 person-years, P<0.001). There was no statistically significant difference in the incidence of cardiovascular disease between the above two groups (999.8/100 000 person-years vs. 1 081.2/100 000 person-years, P>0.05). The mortality and incidence of cardiovascular disease among the patients with CKD were higher than those of the patients without CKD (2 558.3/100 000 person-years vs. 1 044.0/100 000 person-years, P<0.001; 1 605.9/100 000 person-years vs. 941.6/100 000 person-years, P<0.001). Results of Cox regression model showed that, after adjustment for confounding factors, the all-cause mortality risk increased by 95% in the diabetic patients with anemia (HR=1.95, 95% CI: 1.50-2.54). Anemia and CKD significantly increased the mortality risk among diabetic patients (HR=3.61, 95% CI: 2.48-5.26). The CKD patients without anemia had an increased risk of cardiovascular disease (HR=1.41, 95% CI: 1.13-1.74). Conclusion: Anemia is associated with an increased mortality risk in Chinese diabetic patients. Patients with CKD have an increased risk of cardiovascular di-sease and mortality. The all-cause mortality risk increases significantly in anemia patients with the pre-sence of CKD, which indicates that we should focus on the prevention and treatment of diabetic patients with anemia and CKD.

Key words: Anemia, Diabetes mellitus, Chronic kidney disease, Cardiovascular diseases, Mortality

CLC Number: 

  • R587.1
[1] XU Xin-ran,HUO Peng-cheng,HE Lu,MENG Huan-xin,ZHU Yun-xuan,JIN Dong-si-qi. Comparison of initial periodontal therapy and its correlation with white blood cell level in periodontitis patients with or without diabetes mellitus [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 48-53.
[2] WU Jun-hui,CHEN Hong-bo,WU Yi-qun,WU Yao,WANG Zi-jing,WU Tao,WANG Meng-ying,WANG Si-yue,WANG Xiao-wen,WANG Jia-ting,YU Huan,HU Yong-hua. Prevalence and risk factors of osteoarthritis in patients with type 2 diabetes in Beijing, China from 2015 to 2017 [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 518-522.
[3] LIU Qiu-ping,CHEN Xi-jin,WANG Jia-min,LIU Xiao-fei,SI Ya-qin,LIANG Jing-yuan,SHEN Peng,LIN Hong-bo,TANG Xun,GAO Pei. Effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population: A decision-analytic Markov model [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 460-466.
[4] GUO Zi-ning, LIANG Zhi-sheng, ZHOU Yi, ZHANG Na, HUANG Jie. Genetic study of cardiovascular disease subtypes defined by International Classification of Diseases [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 453-459.
[5] FAN Li-shi,GAO Min,Edwin B. FISHER,SUN Xin-ying. Factors associated with quality of life in 747 patients with type 2 diabetes in Tongzhou District and Shunyi District of Beijing [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 523-529.
[6] GUO Hong-ping,ZHAO Ai,XUE Yong,MA Liang-kun,ZHANG Yu-mei,WANG Pei-yu. Relationship between nutrients intake during pregnancy and the glycemic control effect in pregnant women with gestational diabetes mellitus [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 467-472.
[7] CHEN Ping,LI Ze-ming,GUO Yi,SUN Xin-ying,Edwin B. FISHER. To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 530-535.
[8] Jia-li CHEN,Yue-bo JIN,Yi-fan WANG,Xiao-ying ZHANG,Jing LI,Hai-hong YAO,Jing HE,Chun LI. Clinical characteristics and risk factors of cardiovascular disease in patients with elderly-onset rheumatoid arthritis: A large cross-sectional clinical study [J]. Journal of Peking University (Health Sciences), 2020, 52(6): 1040-1047.
[9] Hong-yu GAO,Jing-ling XU,Huan-xin MENG,Lu HE,Jian-xia HOU. Effect of initial periodontal therapy on blood parameters related to erythrocyte and platelet in patients with type 2 diabetes mellitus and chronic periodontitis [J]. Journal of Peking University (Health Sciences), 2020, 52(4): 750-754.
[10] Bao GUAN,Mai WENG,Hang FAN,Ding PENG,Dong FANG,Geng-yan XIONG,Xue-song LI,Li-qun ZHOU. Evaluating the impact of preoperative anemia on the prognosis of upper tract urothelial carcinoma following radical nephroureterectomy: A single-center retrospective study of 686 patients [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1056-1061.
[11] Jiao-niu DUAN,Wei DU,Rui-hong HOU,Ke XU,Gai-lian ZHANG,Li-yun ZHANG. Progressive necrosis of lipid: A case report [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1182-1184.
[12] Jiao HE,Ge-heng YUAN,Jun-qing ZHANG,Xiao-hui GUO. Approach to creating early diabetic peripheral neuropathy rat model [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1150-1154.
[13] Wen TANG,Jun-yi GAO,Xin-yu MA,Chao-he ZHANG,Lian-tao MA,Ya-sha WANG. Application of recurrent neural network in prognosis of peritoneal dialysis [J]. Journal of Peking University(Health Sciences), 2019, 51(3): 602-608.
[14] Jiang XIE,Fei LI. Association of sleep overlap syndrome with type 2 diabetes in a cross-sectional study [J]. Journal of Peking University(Health Sciences), 2019, 51(2): 252-255.
[15] LIN Hong-bo, CHEN Yi, SHEN Peng, LI Xiao-yong,SI Ya-qin, ZHANG Du-dan, TANG Xun, GAO Pei. Incidence and risk factors of chronic kidney disease in community-based patients with diabetes [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 416-421.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. Journal of Peking University(Health Sciences), 2009, 41(4): 456 -458 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 125 -128 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 135 -140 .
[4] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 158 -161 .
[5] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 217 -220 .
[6] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 52 -55 .
[7] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 109 -111 .
[8] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 297 -301 .
[9] . [J]. Journal of Peking University(Health Sciences), 2009, 41(5): 599 -601 .
[10] . [J]. Journal of Peking University(Health Sciences), 2009, 41(5): 516 -520 .