Obesity and survival in a national cohort of incident hemodialysis patients: An analysis of the Brazilian Dialysis Registry

被引:1
|
作者
Pecanha, Angelica [1 ]
Nerbass, Fabiana B. [2 ]
Sesso, Ricardo C. [3 ]
Lugon, Jocemir R. [4 ]
机构
[1] Univ Fed Fluminense, Med Sch, Postgrad Program Med Sci, Rio De Janeiro, Brazil
[2] Prorim Fdn, Nephrol Div, Joinville, SC, Brazil
[3] Univ Fed Sao Paulo, Med Sch, Dept Med, Nephrol Div, Sao Paulo, Brazil
[4] Univ Fed Fluminense, Med Sch, Dept Med, Nephrol Div, Rio De Janeiro, Brazil
关键词
body mass index; hemodialysis; kidney failure; obesity; survival; BODY-MASS INDEX; CHRONIC KIDNEY-DISEASE; ALL-CAUSE MORTALITY; LONG-TERM SURVIVAL; MAINTENANCE HEMODIALYSIS; ASSOCIATION; OVERWEIGHT; HEALTH; RISK; NUTRITION;
D O I
10.1111/hdi.13099
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
IntroductionA phenomenon called the "obesity paradox" has consistently been reported in several cohorts of patients on chronic hemodialysis. In this setting, a higher body mass index (BMI) is paradoxically associated with better survival. This study aimed to evaluate the effect of BMI on mortality in patients undergoing chronic hemodialysis using the Brazilian Dialysis Registry. MethodsThis was a retrospective national cohort study with data on incident hemodialysis patients collected between January 2011 to December 2018. Those aged 80 years were excluded from the study. The variables studied were the clinical and laboratory data regularly collected at the dialysis units. The variable of primary interest was BMI, represented as the median of the entire dialysis treatment and stratified into four ranges according to the World Health Organization (WHO) classification. The primary outcome was death within 4 years. Cox proportional hazards regression analysis was used to test associations with mortality. FindingsThe analyzed sample consisted of 5489 patients from 73 centers in five regions of the country. Of these, 5.9% were underweight, 48.3% were of normal weight, 31.0% were overweight, and 14.7% were obese. The 4-year survival rates in these BMI ranges were 58%, 70%, 75%, and 80%, respectively. The probability of survival for each BMI extract was significantly different from that in the normal-weight range (p < 0.05). In the fully adjusted Cox proportional hazard regression model, BMI > 24.9 kg/m(2) remained an independent protective factor for mortality (HR: 0.76, 95% CI: 0.62-0.95, p = 0.016). DiscussionIn Brazil, being overweight and obese are protective factors for survival in the chronic hemodialysis population.
引用
收藏
页码:428 / 435
页数:8
相关论文
共 50 条
  • [1] COST ANALYSIS OF HEMODIALYSIS AND PERITONEAL DIALYSIS ACCESS IN INCIDENT DIALYSIS PATIENTS
    Coentrao, Luis A.
    Araujo, Carla S.
    Ribeiro, Carlos A.
    Dias, Claudia C.
    Pestana, Manuel J.
    PERITONEAL DIALYSIS INTERNATIONAL, 2013, 33 (06): : 662 - 670
  • [2] Obesity survival paradox in pneumonia supported with extracorporeal membrane oxygenation: Analysis of the national registry
    Cho, Woo Hyun
    Oh, Jin Young
    Yeo, Hye Ju
    Han, Junhee
    Kim, Junghyun
    Hong, Sang-Bum
    Chung, Chi Ryang
    Park, So Hee
    Park, Seung Yong
    Sim, Yun Su
    Cho, Young-Jae
    Park, Sunghoon
    Kang, Byung Ju
    JOURNAL OF CRITICAL CARE, 2018, 48 : 453 - 457
  • [3] Survival analysis of dialysis patients in the Brazilian Unified National Health System
    Campos Szuster, Daniele Araujo
    Caiaffa, Waleska Teixeira
    Andrade, Eli Iola Gurgel
    Acurcio, Francisco de Assis
    Cherchiglia, Mariangela Leal
    CADERNOS DE SAUDE PUBLICA, 2012, 28 (03): : 415 - 424
  • [4] Pre-dialysis serum sodium and mortality in a national incident hemodialysis cohort
    Rhee, Connie M.
    Ravel, Vanessa A.
    Ayus, Juan Carlos
    Sim, John J.
    Streja, Elani
    Mehrotra, Rajnish
    Amin, Alpesh N.
    Nguyen, Danh V.
    Brunelli, Steven M.
    Kovesdy, Csaba P.
    Kalantar-Zadeh, Kamyar
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2016, 31 (06) : 992 - 1001
  • [5] Synergic Impact of Body Mass Index, Diabetes, and Age on Long-Term Mortality in Japanese Incident Hemodialysis Patients: A Cohort Study on a Large National Dialysis Registry
    Toida, Tatsunori
    Sato, Yuji
    Ogata, Satoshi
    Wada, Atsushi
    Masakane, Ikuto
    Fujimoto, Shouichi
    JOURNAL OF RENAL NUTRITION, 2020, 30 (04) : 333 - 340
  • [6] Obesity, diabetes and survival in maintenance hemodialysis patients
    Deger, Serpil M.
    Ellis, Charles D.
    Bian, Ahuia
    Shintani, Ayumi
    Ikizler, T. Alp
    Hung, Adriana M.
    RENAL FAILURE, 2014, 36 (04) : 546 - 551
  • [7] Hemodialysis vs Peritoneal Dialysis: Comparison of Net Survival in Incident Patients on Chronic Dialysis in Colombia
    Herrera, Lina
    Gil, Fabian
    Sanabria, Mauricio
    CANADIAN JOURNAL OF KIDNEY HEALTH AND DISEASE, 2021, 8
  • [8] Predicting Mortality in Incident Dialysis Patients: An Analysis of the United Kingdom Renal Registry
    Wagner, Martin
    Ansell, David
    Kent, David M.
    Griffith, John L.
    Naimark, David
    Wanner, Christoph
    Tangri, Navdeep
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2011, 57 (06) : 894 - 902
  • [9] Effect of Age and Dialysis Vintage on Obesity Paradox in Long-term Hemodialysis Patients
    Vashistha, Tania
    Mehrotra, Rajnish
    Park, Jongha
    Streja, Elani
    Dukkipati, Ramnath
    Nissenson, Allen R.
    Ma, Jennie Z.
    Kovesdy, Csaba P.
    Kalantar-Zadeh, Kamyar
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2014, 63 (04) : 612 - 622
  • [10] Obesity measurement methods estimated mortality risk in patients undergoing hemodialysis: a systematic review and meta-analysis
    Kusuma, Henni
    Lee, Huan-Fang
    Yen, Miaofen
    Fetzer, Susan Jane
    Lam, Le Trinh
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2024, : 1585 - 1600