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 ORIGINAL ARTICLE
Year : 2017  |  Volume : 27  |  Issue : 1  |  Page : 37-43

Assessment of health-related quality of life and its determinants in patients with chronic kidney disease


1 Department of Nephrology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
2 Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
3 Department of Biometrics, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India

Correspondence Address:
P S Priyamvada
Department of Nephrology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry - 605 006
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-4065.179205

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Health-related quality of life is an important, yet neglected aspect of chronic kidney disease (CKD) care. We evaluated the quality of life and its determinants across CKD 3 to 5D using a kidney disease specific tool (Kidney Disease Quality of Life-SF™) in an underprivileged, predominantly rural population with high rates of illiteracy and unemployment. The scores of individual domains were summarized to three composite scores – physical composite summary (PCS), mental composite summary (MCS), and kidney disease component summary score (KDCS). A total number of 204 participants were recruited from nephrology outpatient clinics. About 68.1% of participants were males. The mean age of the study population was 49.14 ± 13.63 years. There was a high proportion of illiteracy (36.3%) and unemployment (80.9%). KDCS showed a significant decline (P = 0.01) from CKD 3 to CKD 5D whereas MCS and PCS showed a nonsignificant decrease. There was no difference in KDCS, PCS, or MCS scores between patients treated by hemodialysis and CAPD. Illiteracy and unemployment were associated with significantly lower KDCS, PCS, and MCS scores. Age ≥50 years was associated with poor PCS (29.49 ± 8.20 vs. 34.17 ± 9.99 ; P< 0.001). Hemoglobin <10 g/dL was associated with poor KDCS (58.93 ± 13.09 vs. 65.55 ± 13.38 ; P< 0.001) and PCS (29.56 ± 8.13 vs. 33.37 ± 9.82; P< 0.001). The presence of comorbidities such as diabetes and hypertension had no impact on the composite scores. KDCS, MCS, or PCS scores did not vary among patients having high serum phosphorus (≥4.5 mg/dL), low albumin (<3.5 g/dL), and elevated parathyroid hormone (≥150 pg/ml). On multiple linear regression analysis, the predictors of KDCS were unemployment (P < 0.001) and illiteracy (P = 0.03). Unemployment (P < 0.001) and age (P < 0.001) were predictors of PCS whereas literacy level (P < 0.001) was predictive of MCS.






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Indian Journal of Nephrology
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Online since 20th Sept '07