Abstract
Chemotherapy, although beneficial for improving outcomes in both localized and metastatic cancers, may be associated with significant adverse effects, especially for patients with decreased functional reserves. Prediction of patients who will not tolerate well chemotherapy treatment may help in modifying treatment plans and in reallocating resources to vulnerable patients. One hundred seventeen consecutive cancer patients over the age of 70 scheduled for chemotherapy treatment in a single cancer center were included in the study. Prediction of adverse chemotherapy outcomes were calculated using a prediction tool proposed and validated from the Cancer and Aging Research Group (CARG) and a prediction tool proposed by us, called Index4. The 2 tools were compared for their ability to predict grade 3 and 4 toxicities, Emergency Department (ED) and hospital admissions and chemotherapy discontinuation. The accuracy of both predictive tools was suboptimal. A high CARG score had a sensitivity of 46.3% and a specificity of 82% and an Index4 of 1 or above had a sensitivity of 53.7% and a specificity of 60% in predicting grade 3-4 adverse effects. The performance of the 2 tools in predicting ED and hospital admissions and chemotherapy discontinuation was comparable. An Index4 score of 0 was superior in predicting absence of grade 3-4 toxicities than a low CARG score (p = 0.002, McNemar's test). The CARG tool for chemotherapy adverse effect prediction in geriatric cancer patients and the Index4 were able to predict adverse outcomes with moderate accuracy. Given its ease of calculation Index4 may be an alternative to CARG tool, suitable for a busy oncology practice.