The Age-Adjusted Charlson Comorbidity Index Predicts Prognosis in Elderly Cancer Patients

Shi Zhou1, Xing-Hu Zhang1, Yuan Zhang1

  • 1Department of Geriatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, 21002, Jiangsu, People's Republic of China.

Insights

The age-adjusted Charlson comorbidity index (ACCI) significantly predicts survival in elderly cancer patients. Higher ACCI scores correlate with poorer overall survival (OS) and progression-free survival (PFS).

Area of Science:

  • Geriatric Oncology
  • Clinical Epidemiology
  • Cancer Prognostics

Background:

  • The age-adjusted Charlson comorbidity index (ACCI) is established for evaluating elderly patients and predicting mortality in various cancers.
  • Limited research exists on the ACCI's impact on survival specifically in elderly cancer patients.

Purpose of the Study:

  • To investigate the relationship between the ACCI and survival outcomes in elderly patients diagnosed with cancer.
  • To determine if ACCI is an independent predictor of prognosis in this demographic.

Main Methods:

  • Retrospective analysis of 64 elderly patients (>80 years) with cancer (2011-2021).
  • Patients categorized into low-ACCI (<11) and high-ACCI (≥11) groups based on calculated ACCI scores.
  • Statistical analysis of correlations between ACCI and survival outcomes (OS, PFS).

Main Results:

  • Significant differences in overall survival (OS) and progression-free survival (PFS) were observed between high-ACCI and low-ACCI groups (P<0.001).
  • Median OS was 13.9 months for high-ACCI vs. 51.9 months for low-ACCI.
  • Multivariate analysis confirmed ACCI as an independent predictor for OS (HR=1.402) and PFS (HR=1.353).

Conclusions:

  • The ACCI score is a significant independent predictor of prognosis for elderly cancer patients.
  • ACCI can aid in stratifying risk and informing treatment decisions for elderly individuals with cancer.
Abstract

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