Independent and joint associations of nutritional status indicators with mortality risk among chronic hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study (DOPPS).

OBJECTIVE: To consider the Kidney Disease Outcomes Quality Initiative recommendation of using multiple nutritional measurements for patients on maintenance dialysis, we explored data for independent and joint associations of nutritional indicators with mortality risk among maintenance hemodialysis patients treated in 12 countries. SETTING: Dialysis units in seven European countries, the United States, Canada, Australia, New Zealand, and Japan. MAIN OUTCOME: Mortality risk. METHODS: We conducted a prospective cohort study of 40,950 patients from phases I to III of the Dialysis Outcomes and Practice Patterns Study (1996-2008). Independent and joint effects (interactions) of nutritional indicators (serum creatinine, serum albumin, normalized protein catabolic rate, body mass index [BMI]) on mortality risk were assessed by Cox regression with adjustments for demographics, years on dialysis, and comorbidities. RESULTS: Important variations in nutritional indicators were seen by country and patient characteristics. Poorer nutritional status assessed by each indicator was independently associated with higher mortality risk across regions. Significant multiplicative interactions (each p < or = 0.01) between indicators were also observed. For example, by using patients with serum creatinine 7.5-10.5 mg/dL and BMI 21-25 kg/m(2) as referent, BMI <21 kg/m(2) was associated with lower mortality risk among patients with creatinine >10.5 mg/dL (relative risk = 0.68) but with higher mortality risk among those with creatinine <7.5 mg/dL (relative risk = 1.38). The association of lower albumin concentration with higher mortality risk was stronger for patients with lower BMI or lower creatinine. CONCLUSION: The joint effects of nutritional indicators on mortality indicate the need to use multiple measurements when assessing the nutritional status of hemodialysis patients.

Kidney Disease Outcomes Quality Initiative (K/DOQI) and the Dialysis Outcomes and Practice Patterns Study (DOPPS): nutrition guidelines, indicators, and practices.

BACKGROUND: Nutritional markers are important predictors of morbidity and mortality in dialysis patients. The Clinical Practice Guidelines for Nutrition in Chronic Renal Failure provides guidelines for assessing nutritional status that were evaluated using data from the Dialysis Outcomes and Practice Patterns Study (DOPPS). METHODS: The level of various nutritional markers (serum albumin, modified subjective global assessment, serum creatinine, normalized protein catabolic rate [nPCR], and body mass index) were described for representative samples of patients and facilities from 7 countries (France, Germany, Italy, Spain, Japan, United Kingdom, and United States) participating in the DOPPS. RESULTS: A strong inverse association was observed between mortality and serum albumin, with a mortality risk 1.38 times higher for patients with serum albumin concentration less than 3.5 g/dL (35 g/L). There were significant differences by country in the proportion of moderately and severely malnourished patients as determined by the modified subjective global assessment score. In the US sample, severely and moderately malnourished patients had a higher mortality risk compared with those not malnourished, 33% and 5% higher, respectively. An inverse relationship exists between serum creatinine concentration and mortality, with a mortality risk 60% to 70% higher in the lowest quartile group compared with the highest quartile group in Europe and the United States. Levels of nPCR varied significantly between European countries, and there was no association between mortality and nPCR in US data. After adjustment for demographic and comorbidity factors, the mortality risk decreased as body mass index increased in both US and European samples. CONCLUSION: DOPPS data highlight the importance of routine assessment of nutritional status, using multiple parameters, in clinical practice to improve patient care.

Quality of life and patient satisfaction: ESRD managed care demonstration.

To study the effects of managed care on dialysis patients, we compared the quality of life and patient satisfaction of patients in a managed care demonstration with three comparison samples: fee-for-service (FFS) patients, managed care patients outside the demonstration, and patients in a separate national study. Managed care patients were less satisfied than FFS patients about access to health care providers, but more satisfied with the financial benefits (copayment coverage, prescription drugs, and nutritional supplements) provided under the demonstration managed care plan (MCP). After 1 year in the demonstration, patients exhibited statistically and clinically significant increases in quality of life scores.

Health-related quality of life and associated outcomes among hemodialysis patients of different ethnicities in the United States: the Dialysis Outcomes and Practice Patterns Study (DOPPS).

BACKGROUND: In the United States, an association between mortality risk and ethnicity has been observed among hemodialysis patients. This study was developed to assess whether health-related quality of life (HRQOL) scores also vary among patients of different ethnic backgrounds. Associations between HRQOL and adverse dialysis outcomes (ie, death and hospitalization) also were assessed for all patients and by ethnicity. METHODS: Data are from the Dialysis Outcomes and Practice Patterns Study for 6,151 hemodialysis patients treated in 148 US dialysis facilities who filled out the Kidney Disease Quality of Life Short Form. We determined scores for three components of HRQOL: Physical Component Summary (PCS), Mental Component Summary (MCS), and Kidney Disease Component Summary (KDCS). Patients were classified by ethnicity as Hispanic and five non-Hispanic categories: white, African American, Asian, Native American, and other. Multiple linear regression models were used to estimate differences in HRQOL scores among ethnic groups, using whites as the referent category. Cox regression models were used for associations between HRQOL and outcomes. Regression models were adjusted for sociodemographic variables, delivered dialysis dose (equilibrated Kt/V), body mass index, years on dialysis therapy, and several laboratory/comorbidity variables. RESULTS: Compared with whites, African Americans showed higher HRQOL scores for all three components (MCS, PCS, and KDCS). Asians had higher adjusted PCS scores than whites, but did not differ for MCS or KDCS scores. Compared with whites, Hispanic patients had significantly higher PCS scores and lower MCS and KDCS scores. Native Americans showed significantly lower adjusted MCS scores than whites. The three major components of HRQOL were significantly associated with death and hospitalization for the entire pooled population, independent of ethnicity. CONCLUSION: The data indicate important differences in HRQOL among patients of different ethnic groups in the United States. Furthermore, HRQOL scores predict death and hospitalization among these patients.

Mortality risk in hemodialysis patients and changes in nutritional indicators: DOPPS.

BACKGROUND: Nutritional status is strongly associated with outcomes among hemodialysis patients. We analyzed the independent predictive value of several readily measured nutritional indicators, including a modified subjective global assessment (mSGA), body mass index (BMI), serum albumin, serum creatinine, normalized protein catabolic rate (nPCR), serum bicarbonate, lymphocyte count, and neutrophil count, using baseline and six-month follow-up measurements. METHODS: The study sample consisted of 7719 U.S. adult hemodialysis patients enrolled in the international Dialysis Outcomes and Practice Patterns Study (DOPPS), a prospective observational study that includes a random sample of hemodialysis patients from 145 dialysis facilities in the United States. Cox regression was used to estimate the relative risk of mortality associated with differences in measurements at baseline and six months later. Each analysis was adjusted for age, race, sex, and 15 summary comorbid conditions. RESULTS: Lower baseline measurements of mSGA, BMI, serum albumin, serum creatinine, and lymphocyte count were independently associated with significantly higher risk of mortality. During six-month follow-up, decreases in BMI, serum albumin, and serum creatinine were also associated with significantly higher mortality risk. The risk of mortality increased with higher baseline and six-month increases in neutrophil count. CONCLUSIONS: This study confirms that several readily-measured nutritional indicators predict mortality among hemodialysis patients and that changes in indicator values over six months provide additional important prognostic information. Interventions that modify these indicators of nutritional status may have an important impact on the survival of hemodialysis patients.