<p>Protein-Energy Wasting and Associated Factors Among Chronic Kidney Disease Patients at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia</p>

Abstract

Background Protein-energy wasting is a major issue in patients with chronic kidney disease (CKD), adversely affecting morbidity, mortality, functional activity, and quality of life. Assessment of nutritional status in CKD patients is important to ensure patient’s normal protein stores and avoid metabolic complications. However, in Ethiopia, there were very few studies done to assess the prevalence of protein-energy wasting (PEW) and its associated factors among CKD patients. Objective To assess protein-energy wasting and associated factors among chronic kidney disease patients at adult OPD St. Paulo’s Hospital Millennium Medical College, Addis Ababa Ethiopia. Materials and Methods An institution-based cross-sectional study was conducted from March to April 2019. Data were collected using a structured interviewer-administered questionnaire and anthropometric measurements, and laboratory data were collected from patient files. Data were entered into Epi-data version 3.1 and analyzed using SPSS version 20. Both bivariate and multiple logistic regression analyses were performed to identify associated factors. P values <0.05 were considered to declare statistical significance. Results In this study, 274 respondents were interviewed with a response rate of 100%. The prevalence of protein-energy wasting in CKD patients was 23.4%. Chronic kidney disease patients at age ≥65 years were seven times more likely to have protein-energy wasting as compared to patients aged 18–34 years [AOR=7.0, 95% (CI: 2.4, 20.5)]. Patients who had a history of anorexia were 5.2 times more likely to have protein-energy wasting as compared to those who had no history of anorexia [(AOR=5.2, 95% (CI: 2.7, 10.3)] and were significantly associated with the risk of having CKD. Conclusion The prevalence of protein-energy wasting among CKD patients was high and associated with age, physical activity, history of anorexia, and CKD stages. Interventions that address nutritional problems and lifestyle factors in CKD patients need to be implemented together with medical treatment.

Protein energy wasting in pre-dialysis chronic kidney disease patients in Benin City, Nigeria: A cross-sectional study

“…Anorexia was found to be significantly associated with PEW in this study which is similar to some previous reports [ 8 ]. Although, anorexia was subjectively assessed in this study, objective tools such as Visual Analogue Scale (VAS) and Functional Assessment of Anorexia/Cachexia Therapy (FAACT) have been validated and found useful in CKD populations [ 33 ].…”

“…There was significant association between stage of CKD and PEW in this study which is similar to findings of some previous studies [ 8 , 31 , 32 ]. The prevalence of PEW among CKD patients in stage 3, 4, 5 were 17.8%, 43.1% and 76.1%, respectively.…”

“…Younger age and being unmarried were also associated with PEW which is similar to the report by Namuyimbwa et al [ 7 ]. However, some other studies reported significant association between older age and PEW in their CKD population [ 8 , 10 ]. PEW was also significantly more common in recently diagnosed CKD patients.…”

Tỷ Lệ Suy Mòn Protein Năng Lượng Và Một Số Yếu Tố Liên Quan Ở Bệnh Nhân Bệnh Thận Mạn Giai Đoạn Cuối

“…Điều này có thể giải thích do bệnh thận mạn là bệnh lý ảnh hưởng lên đa cơ quan trong cơ thể, các bệnh đồng mắc này có thể là nguyên nhân hoặc biến chứng của bệnh hoặc xuất hiện đồng thời trong quá trình diễn tiến kéo dài của bệnh. Kết quả nghiên cứu của chúng tôi tương tự như nghiên cứu của tác giả Lưu Xuân Ninh [7], Chaltu Merga [8].…”

“…Kết quả nghiên cứu của chúng tôi cho thấy rằng tỷ lệ bệnh nhân mắc hội chứng suy mòn protein năng lượng chiếm 32% bệnh nhân BTMGĐC đang lọc máu chu kỳ. Kết quả này tương đồng với nghiên cứu của Đoàn Duy Tân với 30,2% [4] và cao hơn nhiều so với nghiên cứu của các tác giả Sonoko Yasui tiến hành tại Nhật Bản với 15,2% [9]; nghiên cứu của Chaltu Merga và cộng sự với 23,4% [8]. Sự khác biệt này có thể do khác nhau địa điểm lấy mẫu, điều kiện kinh tế, chế độ chăm sóc y tế cũng như thời gian lọc máu của đối tượng nghiên cứu.…”