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Development and Validation of the Modified Charlson Comorbidity Index in Incident Peritoneal Dialysis Patients: A
Hyunjeong Cho1, Myoung-Hee Kim2, Hyo Jin Kim3
1Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Insights
A modified Charlson Comorbidity Index (CCI) for peritoneal dialysis (PD) patients, the mCCI-IPD, improves mortality risk prediction. This new index offers better stratification for PD patients compared to the standard CCI.
Area of Science:
- Nephrology
- Epidemiology
- Biostatistics
Background:
- The standard Charlson Comorbidity Index (CCI) utility is debated in peritoneal dialysis (PD) patients due to potentially different comorbidity weights.
- Accurate risk stratification is crucial for PD patient management and outcomes.
Purpose of the Study:
- To develop and validate a modified CCI specifically for incident PD patients (mCCI-IPD).
- To enhance mortality prediction and risk stratification in this population.
Main Methods:
- Developed mCCI-IPD using Cox regression on a Korean cohort (n=7,606) of incident PD patients (2005-2008).
- Validated prognostic performance using an independent cohort (n=664) with c-statistics and continuous net reclassification improvement (cNRI).
Main Results:
- The modified index (mCCI-IPD) reassigned weights to 11 comorbidities significantly predicting mortality.
- While both CCI and mCCI-IPD correlated with survival, mCCI-IPD showed a significant 38.2% improvement in mortality risk assessment via cNRI.
- Reclassification improvements were significant in both patients with and without adverse events.
Conclusions:
- The mCCI-IPD demonstrates superior performance in predicting mortality for incident PD patients compared to the standard CCI.
- This modified index is recommended for statistical analysis and clinical decision-making in PD patient care.
Abstract:
♦ BACKGROUND: The utility of applying the Charlson comorbidity index (CCI) to peritoneal dialysis (PD) patients is disputed because the relative weight of each comorbidity in PD patients may be different from those in other chronic diseases. We aimed to develop and validate a modified CCI in incident PD patients (mCCI-IPD) for better risk stratification and prediction of mortality. ♦ METHODS: The mCCI-IPD was developed using data from all Korean adult incident PD patients between 2005 and 2008 (n = 7,606). Multivariate Cox regression was used to determine new weights for the individual comorbidities in the CCI. The prognostic performance of the mCCI-IPD was validated in an independent cohort (n = 664) through c-statistics and continuous net reclassification improvement (cNRI). ♦ RESULTS: A total of 75.5% of the patients in the development cohort had 1 or more comorbidities. The Cox proportional hazards model provided reassigned severity weights for the 11 comorbidities that significantly predicted mortality. In the validation cohort, the CCI and mCCI-IPD scores were both correlated with survival and showed no differences in their c-statistics. However, multivariate analyses using cNRI revealed that the mCCI-IPD provided a 38.2% improvement in mortality risk assessment compared with the CCI (95% confidence interval [CI], 15.3 - 61.0; p < 0.001). These significant reclassification improvements were observed consistently in subjects with events (cNRIEvent, 28.2% [95% CI, 6.9 - 49.5; p = 0.009]) and without events (cNRINon-event, 10.0% [95% CI, 1.7 - 18.2; p = 0.019]). ♦ CONCLUSIONS: Compared with the CCI, the mCCI-IPD showed better performance in mortality prediction for incident PD patients. Therefore, this tool may be used as a preferred index for statistical analysis and clinical decision-making.
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