Assessment of Nutritional State in Prevalent Hemodialysis Patients and Its Impact on Quality of Life

Abdelmobdy, Ashraf Hassan; Mahmoud, Osama M; EL-fakharany, Wesam N; Bichari, Walid A; Rakha, Nahed M

doi:10.21608/asmj.2022.156305.1037

Assessment of Nutritional State in Prevalent Hemodialysis Patients and Its Impact on Quality of Life

Articles in Press

Document Type : Original Article

Authors

¹ Internal Medicine Department, Faculty of Medicine Ain Shams University, Cairo, Egypt.

² Internal Medicine Department Faculty of Medicine Ain Shams University, Cairo, Egypt.

³ Damanhur Medical National Institute, Elbehira, Egypt.

10.21608/asmj.2022.156305.1037

Abstract

Background: Patients undergoing hemodialysis (HD) frequently suffer from malnutrition and low quality of life QOL, which can have severe consequences such as an increased risk of hospitalization and mortality. Both have recently been identified as two critical targets for dialysis adequacy. Objective: We aimed to determine whether there is a relationship between nutritional status and QOL in our HD patients.
Patients and Methods: At Damanhur Medical National Institute, a cross-sectional study was conducted on 100 patients on regular HD. We determined the correlation using the Pearson correlation test after assessing nutritional status with the malnutrition inflammation score (MIS) and QOL with the valid Arabic version of the short form 12 questionnaire version1 (SF-12v1) to determine the correlation using the Pearson correlation test. In addition, univariate analysis was used to assess the degree of MIS effect on SF-12v1 components.
Results: MIS had significant negative correlation with SF-12v1 components regarding physical component summary (PCS) where (r= -.498, p=.0001), mental component summary (MCS) (r= -.497, p=.0001) and total QOL score (r= -.554, p=.0001). MIS of patients was highly statistically significant in predicting PCS as the model explained (24.8%) of variability in PCS of QoL of patients, as each increase in MIS led to a significant decrease in PCS by 3.17 as (b,t,p) = (-3.17,-5.69,.0001) respectively.
Conclusion: Among our patients, MIS had a significant negative correlation with PCS, MCS, and the total SF12v1 score. Patients' MIS was highly statistically significant in predicting PCS, MCS, and the total score of SF12v1.

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