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

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-SFTM), 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 1 (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.

[1]  R. Hays,et al.  Development of the Kidney Disease Quality of Life (KDQOLTM) Instrument , 1994, Quality of Life Research.

[2]  C. Sherbourne,et al.  The MOS 36-Item Short-Form Health Survey (SF-36) , 1992 .

[3]  B. Gillespie,et al.  Depression as a predictor of mortality and hospitalization among hemodialysis patients in the United States and Europe. , 2002, Kidney international.

[4]  F. Valderrábano,et al.  Quality of life in end-stage renal disease patients. , 2001, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[5]  C. McHorney,et al.  The MOS 36‐Item Short‐Form Health Survey (SF‐36): II. Psychometric and Clinical Tests of Validity in Measuring Physical and Mental Health Constructs , 1993, Medical care.

[6]  J T Daugirdas,et al.  Comparison of methods to predict equilibrated Kt/V in the HEMO Pilot Study. , 1997, Kidney international.

[7]  D. Stull,et al.  Self-report quality of life as a predictor of hospitalization for patients with LV dysfunction: a life course approach. , 2001, Research in nursing & health.

[8]  A. Reunanen,et al.  Influence of Morbidity and Health Care Structure on Hospitalization Among Adult Diabetic Patients , 1996, Diabetic medicine : a journal of the British Diabetic Association.

[9]  F. Port,et al.  Morbidity and mortality in dialysis patients. , 1994, Kidney international.

[10]  Thomas E. Moritz,et al.  Health-Related Quality of Life As a Predictor of Mortality Following Coronary Artery Bypass Graft Surgery , 1999, Survey of Anesthesiology.

[11]  R. Wolfe,et al.  Clinical and biochemical correlates of starting "daily" hemodialysis. , 1999, Kidney international.

[12]  John E. Ware,et al.  SF-36 physical and mental health summary scales : a user's manual , 1994 .

[13]  K. Kalantar-Zadeh,et al.  Association among SF36 quality of life measures and nutrition, hospitalization, and mortality in hemodialysis. , 2001, Journal of the American Society of Nephrology : JASN.

[14]  R. Wolfe,et al.  Impact of years of dialysis therapy on mortality risk and the characteristics of longer term dialysis survivors. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[15]  G. Apolone,et al.  Health-related quality of life in dialysis patients. A report from an Italian study using the SF-36 Health Survey. DIA-QOL Group. , 1999, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[16]  L. Welin,et al.  Quality of life as an outcome variable and a risk factor for total mortality and cardiovascular disease: a study of men born in 1913. , 1993, Journal of hypertension. Supplement : official journal of the International Society of Hypertension.

[17]  J Alonso,et al.  [The Spanish version of the SF-36 Health Survey (the SF-36 health questionnaire): an instrument for measuring clinical results]. , 1995, Medicina clinica.

[18]  L. McMahon,et al.  Hospitalization for gastrointestinal and liver diseases: the effect of socioeconomic and medical supply factors. , 1998, Journal of Clinical Gastroenterology.

[19]  C. Sherbourne,et al.  The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. , 1994 .

[20]  R. Hays,et al.  Translation, cultural adaptation, and initial reliability and multitrait testing of the Kidney Disease Quality of Life instrument for use in Japan , 2004, Quality of Life Research.

[21]  O. Baud,et al.  Hospitalization Decision for Ambulatory Patients with Community-Acquired Pneumonia: A Prospective Study with General Practitioners in France , 2001, Infection.

[22]  D. Mapes,et al.  The Dialysis Outcomes and Practice Patterns Study (DOPPS): How Can We Improve the Care of Hemodialysis Patients? , 2001, Seminars in dialysis.

[23]  E G Lowrie,et al.  The urea reduction ratio and serum albumin concentration as predictors of mortality in patients undergoing hemodialysis. , 1993, The New England journal of medicine.

[24]  R. Wolfe,et al.  The Dialysis Outcomes and Practice Patterns Study (DOPPS): An international hemodialysis study , 2000 .

[25]  E. Yelin,et al.  Risk factors for hospitalization among adults with asthma: the influence of sociodemographic factors and asthma severity , 2000, Respiratory research.

[26]  P. Deoreo,et al.  Hemodialysis patient-assessed functional health status predicts continued survival, hospitalization, and dialysis-attendance compliance. , 1997, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[27]  J. Siegrist Impaired quality of life as a risk factor in cardiovascular disease. , 1987, Journal of chronic diseases.

[28]  A. Collins,et al.  Hematocrit levels and hospitalization risks in hemodialysis patients. , 1999, Journal of the American Society of Nephrology : JASN.

[29]  M. Waite,et al.  Impact of medical hospitalization on treatment decision-making capacity in the elderly. , 1990, Archives of internal medicine.

[30]  J. Ware,et al.  Quality of life in asthma. I. Internal consistency and validity of the SF-36 questionnaire. , 1994, American journal of respiratory and critical care medicine.