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Evaluating the cancer aging and research group model in predicting immunochemotherapy toxicity among elderly patients
Yu-Shin Hung1, Chia-Yen Hung2, Wen-Chi Chou1
1Department of Hematology and Oncology, Geriatric Medical Center, Chang Gung Memorial Hospital at Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Background:
The management of diffuse large B-cell lymphoma (DLBCL) in elderly patients is complicated by an increased risk of treatment-related toxicity associated with aging. This study aimed to validate the effectiveness of the Cancer Aging and Research Group (CARG) model in elderly patients with DLBCL receiving rituximab-based chemotherapy.
Methods:
In this prospective study, elderly DLBCL patients (aged 65 years or older) receiving rituximab-based chemotherapy were consecutively assessed between August 2016 and December 2021 at one medical center in Taiwan using the CARG model to predict treatment-related toxicity. Patients were categorized into low-, medium-, and high-risk groups based on their CARG scores. Comparisons were made regarding toxicities and survival rates among these groups.
Results:
Ninety-one patients, with a median age of 70 years (range 65-96), were included. A substantial 81 % (74 patients) experienced grade 3-5 toxicity. The overall 2-year survival rate was 63.8 % after a median follow-up of 28 months (range, 2-46). The risk of grade 3-5 toxicity was 83 %, 78 %, and 87 %, respectively, among the low-, medium-, and high-risk groups (p = 0.60). The receiver operating characteristic (ROC) curve for CARG was 0.521 (95 % CI, 0.376-0.666), which was significantly lower than that for the Eastern Cancer Oncology Group score (ROC = 0.701, 95 % CI, 0.571-0.831). Similarly, compared with those of low-risk patients, hazard ratios for overall survival were 9.22 (95 % CI, 1.23-69.1; p = 0.031) and 14.6 (95 % CI, 1.90-112; p = 0.010) for medium- and high-risk patients, respectively.
Conclusion:
While CARG exhibited limitations in predicting treatment-related toxicity in elderly DLBCL patients, it demonstrated potential efficacy in predicting survival outcomes.
