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The choice of comorbidity scoring system in Chinese peritoneal dialysis patients
Terry King-Wing Ma1, Kai Ming Chow1, Bonnie Ching-Ha Kwan1
1Carol and Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Insights
The Charlson Comorbidity Index (CCI) best predicts survival in Chinese peritoneal dialysis (PD) patients. This comorbidity scoring system is recommended for assessing mortality risk in this population.
Area of Science:
- Nephrology
- Internal Medicine
- Epidemiology
Background:
- Comorbidity scoring systems are vital for predicting outcomes in hemodialysis patients, particularly those at high cardiovascular risk.
- The effectiveness of these scoring systems can vary significantly across different patient demographics and healthcare settings.
- Previous validations were primarily conducted in Western hemodialysis populations, necessitating evaluation in other groups.
Purpose of the Study:
- To identify the optimal comorbidity scoring system for predicting patient survival among incident Chinese peritoneal dialysis (PD) patients.
- To compare the predictive performance of the Charlson Comorbidity Index (CCI), Hemmelgarn score, and Liu score in this specific cohort.
Main Methods:
- A cohort of 461 incident PD patients was studied.
- The predictive accuracy of Charlson Comorbidity Index (CCI), Hemmelgarn score, and Liu score for patient survival was assessed.
- Statistical analyses were performed, including univariate and multivariable analyses adjusting for confounding factors.
Main Results:
- All three comorbidity scores (CCI, Hemmelgarn, Liu) were significant predictors of survival in univariate analysis.
- After adjusting for confounders, the Charlson Comorbidity Index (CCI) demonstrated the strongest predictive power for patient survival.
- Each one-point increase in CCI was associated with a 31% increase in mortality risk (95% CI 21-41%, p < 0.001), outperforming the Liu score (20% increase, 95% CI 13-27%, p < 0.001).
Conclusions:
- The Charlson Comorbidity Index (CCI) is the preferred method for quantifying comorbidity burden in incident Chinese PD patients.
- CCI serves as a robust and reliable predictor of survival in this specific patient population.
- The Hemmelgarn score's utility was limited due to a high proportion of patients scoring 0 or 1.
Background:
Several comorbidity scoring systems have been developed and validated, mostly in western hemodialysis patients with a high risk of cardiovascular disease. The performance of comorbidity scoring, however, depends on the patient population. In this study, we determine the optimal comorbidity scoring system for predicting survival of incident Chinese PD patients.
Methods:
We studied 461 incident PD patients. The performance of Charlson Comorbidity Index (CCI), Hemmelgarn score, and Liu score as the survival predictor was compared.
Results:
The mean age was 57.7 ± 13.7 years. The median CCI, Hemmelgarn, and Liu scores were 4 [inter-quartile range (IQR) 2-5], 1 (IQR 0-2), and 4 (IQR 2-5), respectively. Patients were followed for 45.5 ± 33.0 months. All 3 comorbidity scores were predictors of patient survival by univariate analysis. After adjusting for confounding factors, CCI was the best predictor of patient survival among the 3 indices, with each point increase in CCI conferring 31% excess in mortality risk [95% confidence interval (CI) 21-41%, p < 0.001]. In contrast, each point increase in Liu score confers 20% excess in mortality risk (95% CI 13-27%, p < 0.001). Although the Hemmelgarn score is an independent predictor of patient survival, over 70% of patients score 0 or 1 by this system, limiting its role as a prognostic marker.
Conclusion:
CCI should be the preferred method for quantifying comorbidity load in incident Chinese PD patients, and it is a good predictor of survival in this group of patients.
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