Health-related quality of life as a predictor of mortality and hospitalization: The Dialysis Outcomes and Practice Patterns Study (DOPPS)

被引:649
作者
Mapes, DL
Lopes, AA
Satayathum, S
McCullough, KP
Goodkin, DA
Locatelli, F
Fukuhara, S
Young, EW
Kurokawa, K
Saito, A
Bommer, J
Wolfe, RA
Held, PJ
Port, FK
机构
[1] URREA, Ann Arbor, MI 48103 USA
[2] Univ Fed Bahia, Dept Med, Salvador, Brazil
[3] Amgen Inc, Thousand Oaks, CA 91320 USA
[4] A Manzoni Hosp, Div Nephrol & Dialysis, Lecce, Italy
[5] Kyoto Univ, Grad Sch Med & Publ Hlth, Kyoto, Japan
[6] Univ Michigan, Dept Vet Affairs Med Ctr, Ann Arbor, MI 48109 USA
[7] Univ Michigan, Div Nephrol, Ann Arbor, MI 48109 USA
[8] Tokai Univ, Sch Med, Kanagawa 2591100, Japan
[9] Heidelberg Univ, Dept Nephrol, Heidelberg, Germany
[10] Univ Michigan, Sch Publ Hlth, Kidney Epidemiol & Cost Ctr, Ann Arbor, MI 48109 USA
[11] Univ Michigan, Sch Publ Hlth, Dept Biostat, Ann Arbor, MI 48109 USA
关键词
DOPPS; end-stage renal disease (ESRD); hemodialysis; hospitalization; mortality; quality of life;
D O I
10.1046/j.1523-1755.2003.00072.x
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
Background. We investigated whether indicators of health-related quality of life (HRQOL) may predict the risk of death and hospitalization among hemodialysis patients treated in seven countries, taking into account serum albumin concentration and several other risk factors for death and hospitalization. We also compared HRQOL measures with serum albumin regarding their power to predict outcomes. Methods. We analyzed data from the Dialysis Outcomes and Practice Patterns Study (DOPPS), an international, prospective, observational study of randomly selected hemodialysis patients in the United States (148 facilities), five European countries (101 facilities), and Japan (65 facilities). The total sample size was composed of 17,236 patients. Using the Kidney Disease Quality of Life Short Form (KDQOL-SF(TM)), we determined scores for three components of HRQOL: (1) physical component summary (PCS), (2) mental component summary (MCS), and (3) kidney disease component summary (KDCS). Complete responses on HRQOL measures were obtained from 10,030 patients. Cox models were used to assess associations between HRQOL and the risk of death and hospitalization, adjusted for multiple sociodemographic variables, comorbidities, and laboratory factors. Results. For patients in the lowest quintile of PCS, the adjusted risk (RR) of death was 93% higher (RR = 1.93, P < 0.001) and the risk of hospitalization was 56% higher (RR = 1.56, P < 0.001) than it was for patients in the highest quintile level. The adjusted relative risk values of mortality per 10-point lower HRQOL score were 1.13 for MCS, 1.25 for PCS, and 1.11 for KDCS. The corresponding adjusted values for RR for first hospitalization were 1.06 for MCS, 1.15 for PCS, and 1.07 for KDCS. Each RR differed significantly from I (P < 0.001). For 1 g/dL lower serum albumin concentration, the RR of death adjusted for PCS, MCS, and KDCS and the other covariates was 1.17 (P < 0.01). Albumin was not significantly associated with hospitalization (RR = 1.03, P > 0.5). Conclusion. Lower scores for the three major components of HRQOL were strongly associated with higher risk of death and hospitalization in hemodialysis patients, independent of a series of demographic and comorbid factors. A 10-point lower PCS score was associated with higher elevation in the adjusted mortality risk, as was a 1 g/dL lower serum albumin level. More research is needed to assess whether interventions to improve quality of life lower these risks among hemodialysis patients.
引用
收藏
页码:339 / 349
页数:11
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