Prevalence and associated factors of protein-energy wasting among patients with chronic kidney disease at Mulago hospital, Kampala-Uganda: a cross-sectional study

被引:10
|
作者
Namuyimbwa, Lydia [1 ]
Atuheire, Collins [2 ,3 ]
Okullo, Joel [1 ]
Kalyesubula, Robert [1 ]
机构
[1] Makerere Univ, Sch Biomed Sci, Coll Hlth Sci, Dept Physiol, POB 7076, Kampala, Uganda
[2] Makerere Univ, Dept Biosecur Ecosyst & Vet Publ Hlth, Coll Vet Med Anim Resources & Biosecur BEP, Kampala, Uganda
[3] Kampala Int Univ, Sch Allied Hlth Sci, Dept Publ Hlth, Kampala, Uganda
来源
BMC NEPHROLOGY | 2018年 / 19卷
关键词
Protein energy wasting; Chronic kidney disease; Anthropometric measurements; CHRONIC-RENAL-FAILURE; MALNUTRITION;
D O I
10.1186/s12882-018-0920-7
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: Chronic kidney disease (CKD) is global health concern and priority. It is the 12th leading cause of death worldwide. Protein Energy Wasting occurs in 20-25% of patients with chronic kidney disease and can lead to a high morbidity and mortality rate. We determined the prevalence of protein energy wasting and factors associated among patients with chronic kidney disease at Mulago National Referral Hospital, Kampala, Uganda. Methods: We conducted a cross-sectional study recruiting 182 (89 non-CKD patients and 93 CKD patients) consecutively from the outpatient clinic and wards on New Mulago Hospital complex. We took anthropometric measurements including heights, weights, Triceps skin fold (TSF), Mid-Upper Arm circumference (MUAC), Body Mass Index (BMI) and Mid-arm muscle circumference (MAMC). Serum albumin levels and lipid profile levels were also obtained. Following consent of study participants, Data was collected using questionnaires and analyzed using STATA 14.1. Percentages, frequencies, means, medians, standard deviation and interquartile range were used to summarise data. Crude and adjusted binary logistic regression was performed to assess unadjusted and adjusted effect measures of protein energy wasting due to several factors. Stratification by CKD status was performed during the analysis to minimize confounding. Results: The median age for CKD patients was 39 years compared to 27 years for non-CKD participants (p < 0.001). The prevalence of protein energy wasting (PEW) was 68.6% in this study with 47.3 and 21.3% among CKD and non-CKD participants respectively. Factors which were associated with PEW included CKD age between 18 and 24, being single, catholic religion, CKD stage 4, Hb < 11.5 g/dl and LDL > 160 mg/dl. Conclusion: Protein energy Wasting is prevalent among patients with chronic kidney disease and clinicians should routinely screen for it during patient care.
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页数:8
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