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Charlson Comorbidity Index Based On Hospital Episode Statistics Performs Adequately In Predicting Mortality, But Its

Juho Pylväläinen1,2,3, Kirsi Talala4, Teemu Murtola5,6,7

  • 1Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland.

Clinical Epidemiology
|November 8, 2019
PubMed

Insights

The hospitalization-based Charlson Comorbidity Index (CCI) adequately predicts mortality risk in older men. However, its predictive accuracy decreases over 13 years, with hospitalization data being more impactful than medication data.

Area of Science:

  • Epidemiology
  • Health Services Research
  • Geriatric Medicine

Background:

  • The Charlson Comorbidity Index (CCI) is a widely used tool for assessing disease burden.
  • Evaluating the predictive performance of CCI derived from administrative databases is crucial for population health studies.
  • Understanding the impact of different data sources on CCI's predictive accuracy is essential for clinical and research applications.

Purpose of the Study:

  • To assess the performance of the Charlson Comorbidity Index (CCI) in predicting mortality.
  • To compare the predictive accuracy of CCI calculated from hospitalization data versus medication reimbursement data.
  • To evaluate the combined predictive power of hospitalization and medication data for mortality.

Main Methods:

  • Utilized hospitalization data from the Care Register for Health Care (HILMO) and medication data from the Social Insurance Institution.
  • Included 77,440 men aged 56-71 years at baseline, followed for mortality over 13 years via Statistics Finland.
  • Calculated CCI scores based on different data sources and assessed predictive performance using hazard ratios and C-statistics.

Main Results:

  • Hospitalization-based CCI scores of 1, 2, and 3+ were associated with significantly increased all-cause mortality hazard ratios (2.39, 2.96, 6.42, respectively) at 13 years.
  • The C-statistic for hospitalization-based CCI showed a decline from 0.72 at 1 year to 0.66 at 13 years, with minimal improvement over age alone.
  • Incorporating medication data did not enhance predictive abilities, and medication-based CCI performed poorly independently.

Conclusions:

  • The hospitalization-based CCI adequately predicts relative mortality, but its discriminative ability diminishes over a 13-year follow-up period.
  • Conditions reflected in hospitalization records have a greater impact on survival than medication data.
  • The CCI derived from hospitalization data, and combined data, offers valuable insights into mortality prediction in older male populations.
Abstract

Keywords:
comorbidityconfounding factorsdrug prescriptions/statistics and numerical datafollow-up studieshospitalization/statistics and numerical datamortality

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