Publication: Association between risk of malnutrition, albumin level and quality of life (QOL) among hemodialysis patients in Hospital Pakar USM (HPUSM)
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Date
2025-07
Authors
Fasre, Anna Zafira
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Abstract
Patients undergoing hemodialysis treatment were susceptible to have poor QOL because the treatment is consuming a lot of time and increase risk of morbidity. Lower albumin level which can be due to manlnutrition status may indicate a lower health-related quality of life (QOL) and higher hospitalization rates and greater risk of fatality. The objective for this study is to determine the association between risk of malnutrition, albumin level, and QOL among hemodialysis patients in Hospital Pakar USM (HPUSM). This cross-sectional study involving 81 participants was obtained through purposive sampling and utilized the questionnaires of Dialysis Malnutrition Score (DMS) to identify risk of malnutrition, Kidney Disease and Quality of Life (KDQOL-36) to determine the quality of life, and albumin level were also obtained from the medical folder. Majority of the participants were Malay (92.6%), mean age of 56.3 ± 12.4 years old, most of them were working (90.1%) and married (74.1%). The result shown majority of the participants were in the category of moderate risk of malnutrition (87.7%), the albumin level was 40.0 (IQR 9.0) g/L and the highest score of KDQOL was in domain of social interaction with mean of 85.76 ± 17.66. Based on the Spearmen correlations test, it has been found that there was a strong negative correlation between risk of malnutrition and albumin level (r = -0.534, p <0.001). In addition, there no significant correlation between albumin level and Quality of life (QOL) among hemodialysis patients. However, there was no significant correlation between risk of malnutrition with KDQOL. QOL among hemodialysis could not be determined by using albumin level alone since suggesting that QOL is influenced by multiple factors beyond nutritional status alone. Future studies should incorporate additional variables such as inflammation markers, comorbidities, hemoglobin levels, and dialysis adequacy to better understand the multifactorial influences on QOL in hemodialysis patients
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