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Prediction of Other-Cause Mortality in Older Patients with Breast Cancer Using Comorbidity
Anna Z de Boer1,2, Esther Bastiaannet1,2, Hein Putter3
1Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Insights
A simple comorbidity count is as effective as the Charlson comorbidity index for predicting other-cause mortality in older breast cancer patients. This finding supports using comorbidity count for personalized treatment strategies in this demographic.
Area of Science:
- Oncology
- Geriatrics
- Epidemiology
Background:
- Individualized treatment for older breast cancer patients requires accurate prediction of other-cause mortality.
- Existing prediction tools may not optimally incorporate comorbidity data, which is crucial given age-related mortality risks.
- No definitive comorbidity scoring system is established for this specific purpose.
Purpose of the Study:
- To compare the predictive performance of the Charlson comorbidity index against a simple comorbidity count for 5-year other-cause mortality in older breast cancer patients.
- To evaluate the impact of specific, frequently occurring comorbidities on other-cause mortality.
- To assess the utility of these measures in improving individualized treatment strategies.
Main Methods:
- Retrospective cohort study using the Netherlands Cancer Registry.
- Inclusion of surgically treated patients aged ≥70 years with stages I-III breast cancer (2003-2009).
- Competing risk analysis to evaluate the association between comorbidities (Charlson index, comorbidity count, specific conditions) and 5-year other-cause mortality, including discrimination and calibration assessment.
Main Results:
- 7511 patients were analyzed; 26% died from other causes within 5 years.
- The Charlson comorbidity index and simple comorbidity count demonstrated similar predictive values (c-statistics: 0.65 and 0.64, respectively).
- Psychiatric disease showed a strong association with other-cause mortality (sHR 2.44), independent of the Charlson index components.
Conclusions:
- The Charlson comorbidity index and a simple comorbidity count have comparable predictive value for 5-year other-cause mortality in older breast cancer patients.
- Comorbidity count offers a more practical tool for clinical use, potentially aiding in the individualization of treatment.
- Further research incorporating geriatric parameters may enhance prediction accuracy.
Abstract:
Background: Individualized treatment in older patients with breast cancer can be improved by including comorbidity and other-cause mortality in prediction tools, as the other-cause mortality risk strongly increases with age. However, no optimal comorbidity score is established for this purpose. Therefore, this study aimed to compare the predictive value of the Charlson comorbidity index for other-cause mortality with the use of a simple comorbidity count and to assess the impact of frequently occurring comorbidities. Methods: Surgically treated patients with stages I-III breast cancer aged ≥70 years diagnosed between 2003 and 2009 were selected from the Netherlands Cancer Registry. Competing risk analysis was performed to associate 5-year other-cause mortality with the Charlson index, comorbidity count, and specific comorbidities. Discrimination and calibration were assessed. Results: Overall, 7511 patients were included. Twenty-nine percent had no comorbidities, and 59% had a Charlson score of 0. After five years, in 1974, patients had died (26%), of which 1450 patients without a distant recurrence (19%). Besides comorbidities included in the Charlson index, the psychiatric disease was strongly associated with other-cause mortality (sHR 2.44 (95%-CI 1.70-3.50)). The c-statistics of the Charlson index and comorbidity count were similar (0.65 (95%-CI 0.64-0.65) and 0.64 (95%-CI 0.64-0.65)). Conclusions: The predictive value of the Charlson index for 5-year other-cause mortality was similar to using comorbidity count. As it is easier to use in clinical practice, our findings indicate that comorbidity count can aid in improving individualizing treatment in older patients with breast cancer. Future studies should elicit whether geriatric parameters could improve prediction.
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