Annual fat mass change is a significant predictor of mortality in female hemodialysis patients
| Autor: | Senji Okuno, Naoki Tsuboniwa, Tsuyoshi Izumotani, Kiyoshi Maekawa, Tomoyuki Yamakawa, Yoko Fujino, Eiji Ishimura, Masaaki Inaba, Yoshiki Nishizawa |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Male
medicine.medical_specialty Survival medicine.medical_treatment Population Nutritional Status Gastroenterology chemistry.chemical_compound Absorptiometry Photon Predictive Value of Tests Renal Dialysis Diabetes mellitus Internal medicine medicine Humans education Survival rate Aged Proportional Hazards Models Pharmacology Creatinine education.field_of_study Proportional hazards model business.industry Confounding General Medicine Middle Aged medicine.disease Obesity Endocrinology Adipose Tissue chemistry Body Composition Female Hemodialysis business Follow-Up Studies |
| Zdroj: | Biomedicine & Pharmacotherapy. 60:253-257 |
| ISSN: | 0753-3322 |
| DOI: | 10.1016/j.biopha.2006.04.001 |
| Popis: | Background Although obesity confers an increased risk of mortality in the general population, it has been reported to be associated with improved survival in dialysis patients. However, the influence of fat mass change over time on mortality in dialysis patients has not been determined. Methods This relationship was examined in 190 female maintenance hemodialysis patients. Fat mass was measured twice with a 12-month interval, using dual energy X-ray absorptiometry (DEXA). The patients were followed up for 5 years, and predictors for all-cause death were examined using Kaplan–Meier analysis and Cox proportional hazards analyses. Results During the 5-year follow-up period, 65 patients died. Annual fat mass changes in the expired group tended to be greater than in the surviving group (–1.0 ± 2.5 vs. –0.3 ± 2.6 kg; P = 0.0776), although initial body fat mass was not significantly different. Kaplan–Meier analysis revealed that patients with decreased fat mass ( N = 110) had a significantly lower survival rate, compared with those with increased fat mass ( N = 80; P = 0.021). Multivariate Cox proportional hazards analyses demonstrated that annual fat mass change was a significant predictor of all-cause mortality after adjustments for confounding factors, such as age, serum albumin, serum creatinine, and the presence of diabetes. An increase in annual fat mass of 1 kg reduced mortality by 14.5%. Conclusions These results demonstrate that the decrease in annual fat mass is a significant predictor for mortality in female hemodialysis patients. Fat mass change is also a useful parameter for measurement of nutritional status in hemodialysis patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect