Nutrition is an important factor in maintaining good health of hemodialysis (HD) patients, affecting their morbidity and mortality. The Dialysis Outcomes and Practice Patterns Study (DOPPS) is an international observational study assessing differences in dialysis practices and outcomes across >20 countries. Here, we present the results for the Gulf Cooperation Council (GCC) countries regarding nutrition data and its relationship with outcomes as a part of the DOPPS Phase 5 study (2012-2015). Data were from Phase 5 of the DOPPS. Main analyses were based on 927 adult chronic HD patients enrolled at the start of the GCC-DOPPS Phase 5 study from each of the 40 randomly selected GCC HD facilities from Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. Within each participating facility, 20-30 patients were randomly selected, depending on facility size. Analysis showed minor differences across GCC countries in age, albumin levels, nutrition supplement use, and being bothered by the lack of appetite. Elderly (>60 years old) and diabetic HD patients displayed poorer nutritional parameters than young and nondiabetic patients. A low albumin level (<3.2 g/dL) was associated with the highest risk of mortality with a hazard ratio (HR) of 2.47 (P <0.0001) followed by diabetes with HR 1.57 (P <0.04) and older age [HR= 1.27/10 years older (P <0.01)]. Quality of life measures physical component summary and mental component summary correlated negatively with albumin <3.2 g/dL (-2.18 and -5.5, respectively, P <0.05 for each), and with serum creatinine level <7.5 mg/dL (-2.29 and -2.1 respectively, P <0.05 for each. We are presenting the first study of the nutrition status and outcomes for HD patients in the GCC countries in DOPPS. Our results were mostly comparable to findings in previous trials in other countries. Although the data are observational, our study provides good insight into aspects of nutrition in the GCC countries and can be compared to the rest of the world to better understand trends and practice differences.
Introduction: Anemia management in dialysis is challenging. Keeping hemoglobin levels within a tight range is difficult. A new program (anemia nurse manager [ANM]) was started for better anemia management. This study aimed to compare traditional anemia management with the new ANM model regarding the achievement of better hemoglobin targets (range, 10–12 g/dL), avoidance of extreme hemoglobin levels ( < 9 or >13 g/dL), and evaluation of the cost-effectiveness of the new model. Methods: This retrospective observational study compared traditional anemia management with management involving our new ANM model. Patients on hemodialysis in all ambulatory dialysis clinics in Qatar were included. The study included three phases: phase 1 (observation): June 2015 to August 2015, 460 patients; phase 2 (pilot): September 2015 to May 2016, 211 patients; and phase 3 (expansion in two phases): June 2016 to February 2017 and October 2017 to June 2018, 610 patients. Hemoglobin, iron saturation, and ferritin were evaluated according to the protocol. Results: In this study, 55% of the patients achieved the target hemoglobin in phase 1 compared with 75% in phase 2 (p = 0.0007). The hemoglobin level within the target range was sustained at 72% ± 5% of patients in phase 3. The achievement rate of the target hemoglobin level increased from 56% (May 2015) to 72% (July 2018) (p < 0.001). The proportion of patients with extreme hemoglobin declined from 10.7% in phase 1 to 6.4% in phase 2 and sustained at 8% afterward. Reducing the doses of erythropoietin stimulating agents, owing to the use of the ANM model, saved costs by approximately 11%. Conclusions: The ANM model was able to achieve and maintain hemoglobin levels within the target range and decrease extreme hemoglobin levels. These outcomes improved patient care by avoiding high hemoglobin (increase thrombosis, cancer recurrence, stroke, and death) and low hemoglobin (weakness, poor quality of life, and need for transfusion) levels. The ANM model was cost effective even after including the salaries of nurses. This model can be considered in other aspects of patient care in dialysis.
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