» Articles » PMID: 15569327

Validation of the Kidney Disease Quality of Life (KDQOL) Cognitive Function Subscale

Overview
Journal Kidney Int
Publisher Elsevier
Specialty Nephrology
Date 2004 Dec 1
PMID 15569327
Citations 37
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Formal cognitive function testing is cumbersome, and no self-administered instruments for estimating cognitive function in persons with chronic kidney disease (CKD) and end-stage renal disease (ESRD) have been validated. The goal of this study was to determine the validity of the Kidney Disease Quality of Life Cognitive Function scale (KDQOL-CF) for the assessment of cognitive impairment in persons with kidney disease.

Methods: We administered the KDQOL-CF to 157 subjects, 79 with ESRD and 78 with CKD participating in a cross-sectional study of cognitive function. Scores on the Modified Mini-Mental State Exam (3MS) were considered the gold standard measure of global cognitive function. Performance characteristics of the KDQOL-CF were assessed using correlation coefficients, Bland-Altman plots, and receiver operating characteristic curves.

Results: Median scores on the KDQOL-CF were 73 (interquartile range 60-87) for subjects with ESRD and 87 (interquartile range 73-100) for subjects with CKD (P < 0.0001). Scores on the KDQOL-CF were directly correlated with scores on the 3MS (r = 0.31, P = 0.0001). Defining global cognitive impairment as a 3MS score < 80, a cut-point of 60 on the KDQOL-CF accurately classified 76% of subjects, with 52% sensitivity and 81% specificity. On multivariable analysis, cerebral and peripheral vascular disease, benzodiazepine use, and higher serum phosphorus concentrations were associated with lower KDQOL-CF scores, while beta blocker use, education, and higher serum albumin concentrations were associated with higher KDQOL-CF scores.

Conclusion: The KDQOL-CF is a valid instrument for estimating cognitive function in patients with CKD and ESRD. KDQOL-CF screening followed by 3MS testing in selected individuals may prove to be an effective and efficient strategy for identifying cognitive impairment in patients with kidney disease.

Citing Articles

Prevalence, associated factors and clinical implications of subjective cognitive decline linked to frailty in patients receiving maintenance hemodialysis: a cross-sectional study.

Li J, Gao Y, Li X, Yu Y, Li G, Yuan H BMC Nephrol. 2025; 26(1):92.

PMID: 39994559 PMC: 11849143. DOI: 10.1186/s12882-025-04020-7.


April 15th war and hemodialysis patients in Sudan: a cross-sectional study.

Idrees M, Bashir M, Mohamed B, Ahmed A, Abdalla H, Shaaban K BMC Public Health. 2025; 25(1):230.

PMID: 39833802 PMC: 11744938. DOI: 10.1186/s12889-025-21369-4.


Screening for cognitive symptoms in dialysis patients with an extended version of Kidney Disease Quality of Life Cognitive Function subscale (KDQOL-CF): a validation study.

Chan F, Sim P, Lim P, Khan B, Choo J, Griva K BMC Nephrol. 2024; 25(1):434.

PMID: 39609776 PMC: 11606010. DOI: 10.1186/s12882-024-03848-9.


Associations of Cognitive Function with Serum Magnesium and Phosphate in Hemodialysis Patients: A Cross-Sectional Analysis of the Osaka Dialysis Complication Study (ODCS).

Shoji T, Mori K, Nagakura Y, Kabata D, Kuriu K, Nakatani S Nutrients. 2024; 16(21).

PMID: 39519609 PMC: 11547714. DOI: 10.3390/nu16213776.


Structural equation modelling of the role of cognition in functional interference and treatment nonadherence among haemodialysis patients.

Chan F, Sim P, Lim P, Zhu X, Lee J, Haroon S PLoS One. 2024; 19(10):e0312039.

PMID: 39418221 PMC: 11486361. DOI: 10.1371/journal.pone.0312039.