Open Access Highly Accessed Research article

A self-report comorbidity questionnaire for haemodialysis patients

Sivakumar Sridharan1*, Jocelyn Berdeprado1, Enric Vilar12, Justin Roberts2 and Ken Farrington12

Author Affiliations

1 Renal Unit Lister Hospital, Stevenage SG1 4AB, UK

2 Health and Human Sciences Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK

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BMC Nephrology 2014, 15:134  doi:10.1186/1471-2369-15-134

Published: 18 August 2014

Abstract

Background

Patients with end-stage renal disease (ESRD) have multiple comorbid conditions. Obtaining comorbidity data from medical records is cumbersome. A self-report comorbidity questionnaire is a useful alternative. Our aim in this study was to examine the predictive value of a self-report comorbidity questionnaire in terms of survival in ESRD patients.

Methods

We studied a prospective cross-sectional cohort of 282 haemodialysis (HD) patients in a single centre. Participants were administered the self-report questionnaire during an HD session. Information on their comorbidities was subsequently obtained from an examination of the patient’s medical records. Levels of agreement between parameters derived from the questionnaire, and from the medical records, were examined. Participants were followed-up for 18 months to collect survival data. The influence on survival of comorbidity scores derived from the self-report data (the Composite Self-report Comorbidity Score [CSCS]) and from medical records data - the Charlson Comorbidity Index [CCI] were compared.

Results

The level of agreement between the self-report items and those obtained from medical records was almost perfect with respect the presence of diabetes (Kappa score κ 0.97), substantial for heart disease and cancer (κ 0.62 and κ 0.72 respectively), moderate for liver disease (κ 0.51), only fair for lung disease, arthritis, cerebrovascular disease, and depression (κ 0.34, 0.35, 0.34 and 0.29 respectively). The CSCS was strongly predictive of survival in regression models (Nagelkerke R2 value 0.202), with a predictive power similar to that of the CCI (Nagelkerke R2 value 0.211). The influences of these two parameters were additive in the models – suggesting that these parameters make different contributions to the assessment of comorbidity.

Conclusion

This self-report comorbidity questionnaire is a viable tool to collect comorbidity data and may have a role in the prediction of short-term survival in patients with end-stage renal disease on haemodialysis. Further work is required in this setting to refine the tool and define its role.

Keywords:
Comorbidity; Questionnaire; Haemodialysis; Survival; End-stage renal disease