Abstract

1502 Background: To determine optimal treatment in older cancer patients, it is recommended to conduct a geriatric assessment (GA) before chemotherapy. The ENSURE-GA study, which focused on patients aged 75 and older with non-small cell lung cancer (NSCLC), reported that the implementation of GA not only enhanced patient satisfaction with regards to communication with their physicians, but also improve the patients’ quality of life. Additionally, we assessed whether GA could improve overall survival and serve as a predictor for severe adverse events. Methods: Patients aged ≥75 with NSCLC who were unable undergo radical treatment were enrolled. All patients underwent a standardized GA before treatment. The participating institutions were cluster-randomized into either intervention group or control group. For the intervention group, GA summaries and recommendations for GA-guided interventions were provided to guide physicians in selecting treatments and interventions. The control group did not provide physicians with GA summaries. Geriatric 8 (G8) and CARG scores were calculated at enrollment, and we investigated whether adverse events during a 3-month follow-up could be predicted. Results: Between 2019 and 2022, 1,021 patients were enrolled from 78 institutions in Japan. No significant differences were observed in patient characteristics or for GA domains between intervention and control groups. Additionally, there were no significant differences seen in 1-year overall survival (20.7m vs 18.8m, p = 0.414), or the incidence of grade 3 or higher adverse events in patients treated with medical treatment (36.8% vs 38.1%, p = 0.732). The ROC curve for G8 regarding the occurrence of grade 3 or higher adverse events in cases receiving cytotoxic chemotherapy yielded an AUC of 0.525, indicating no discriminatory ability. Furthermore, there was no difference in the incidence of adverse events between low-risk and high-risk patients based on the CARG score. Conclusions: The implementation of GA and interventions based on its results enhances patient satisfaction. However, additional studies are needed before incorporating GA into an adverse event prediction system. Developing risk scoring tools specific to cancer types and races may prove useful. Clinical trial information: UMIN0000037590 .