DOI: 10.1093/qjmed/hcad069.504 ISSN:

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

Walid Ahmed Bichari, Osama Mohammed Mahmoud, Wesam Nasr EL-fakharany, Ashraf Hassan Abdelmobdy
  • General Medicine

Objective

Malnutrition and poor quality of life are very common among the hemodialysis patients for many reasons, having also severe consequences such as increased hospitalization and mortality rates. Recently, both of them are considered as two important targets of dialysis adequacy so we aimed to hypothesize whether there is a relationship between nutritional status and quality of life among our hemodialysis patients.

Design and Methods

it was a crosssectional study among 100 patients on regular hemodialysis at Damanhur Medical National Institute. We assessed nutritional status using malnutrition inflammation score (MIS) and quality of life (QOL) using short form 12 questionnaire version1 (SF-12v1) with its valid Arabic version in order to find any correlation by Pearson correlation. Univariate analysis was also 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 of PCS as Model explained (24.8%) of variability in PCS of QoL of patients, as each increase in MIS lead to significant decrease in PCS by 3.17 as (b, t, p) = (-3.17,-5.69, .0001) respectively. Also in affecting of MCS as Model explained (24.7%) of variability in MCS, where (b, t, p) = (-2.8,-5.67, .0001) respectively. As well, in affecting the total score, as Model explained (30.6%) of variability in total score, with (b, t, p) = (-2.97,-6.58, .0001) respectively.

Conclusion

MIS had significant negative correlation with PCS, MCS and the total score of SF12v1 among our patients. MIS of patients was highly statistically significant in predicting of PCS, MCS and the total score of SF12v1 and each increase in MIS lead to significant decrease in them with different degrees.

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