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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.
Purpose:
The age-adjusted Charlson comorbidity index (ACCI) is a useful measure of comorbidity to standardize the evaluation of elderly patients and has been reported to predict mortality in various cancers. To our best knowledge, no studies have examined the relationship between the ACCI and survival of elderly patients with cancer. Therefore, the primary objective of this study was to investigate the relationship between the ACCI and survival of elderly patients with cancer.
Patients And Methods:
A total of 64 elderly patients (>80 years) with cancer between 2011 and 2021 were enrolled in this study. According to the ACCI, the age-adjusted comorbidity index was calculated by weighting individual comorbidities; patients with ACCI<11 were considered the low-ACCI group, whereas those with ACCI≥11 were considered the high-ACCI group. The correlations between the ACCI score and survival outcomes were statistically analyzed.
Results:
There was a significant difference in overall survival (OS) and progression-free survival (PFS) between the high-ACCI group and the low-ACCI group (P<0.001). The median OS time of the high-ACCI group and the low-ACCI group were 13.9 (10.5-22.0) months and 51.9 (34.1-84.0) months, respectively. The 2-, 3-, and 5-year survival rates of the high-ACCI group were 28.1%, 18.8%, and 4.2%, respectively, whereas the 2-, 3-, and 5-year survival rates of the low-ACCI group were 77.3%, 66.4%, and 39.1%, respectively. Multivariate analysis showed that ACCI was independently associated with OS (HR=1.402, 95% CI: 1.226-1.604, P < 0.05) and PFS (HR=1.353, 95% CI: 1.085-1.688, P = 0.0073).
Conclusion:
The ACCI score is a significant independent predictor of prognosis in elderly patients with cancer.
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