PURPOSE: To identify Comprehensive Geriatric Assessment (CGA) components independently associated with changes in planned cancer treatment. PATIENTS AND METHODS: We prospectively included 375 consecutive elderly patients with cancer (ELCAPA01 study) assessed by geriatricians using the CGA. Multivariate analysis was used to identify factors associated with changes in the cancer treatment (intensification, decrease, or delayed > 2 weeks). Change was defined as a difference between the initial treatment proposal and the final treatment selected in a multidisciplinary meeting. RESULTS: Mean age was 79.6 years (standard deviation [SD], 5.6 years), and 197 (52.5%) were women. The most common tumor location was the digestive system (58.7%). The mean number of comorbidities was 4.2 (SD, 2.7) per patient, and the mean Cumulative Illness Rating Scale for Geriatrics score was 11.8 (SD, 5.3). After the CGA, the initial cancer treatment plan was modified for 78 (20.8%) of 375 patients (95% CI, 16.8 to 25.3), usually to decrease treatment intensity (63 [80.8%] of 78 patients). By univariate analysis, cancer treatment changes were associated with Eastern Cooperative Oncology Group performance status ≥ 2 (73.3% in the group with changes v 41.1% in the in the group without changes; P < .001), dependency for one or more activities of daily living (ADL; 59.0% v 24.2%; P < .001), malnutrition (81.8% v 51.2%; P < .001), cognitive impairment (38.5% v 24.9%; P = .023), depression (52.6% v 21.7%; P < .001), and greater number of comorbidities (mean, 4.8 [SD, 2.9] v 4.0 [SD, 2.6]; P = .02). By multivariate analysis, factors independently associated with cancer treatment changes were a lower ADL score (odds ratio [OR], 1.25 per 0.5-point decrease; CI, 1.04 to 1.49; P = .016) and malnutrition (OR, 2.99; CI, 1.36 to 6.58; P = .007). CONCLUSION: Functional status assessed by the ADL score and malnutrition were independently associated with changes in cancer treatment.
PURPOSE: To identify Comprehensive Geriatric Assessment (CGA) components independently associated with changes in planned cancer treatment. PATIENTS AND METHODS: We prospectively included 375 consecutive elderly patients with cancer (ELCAPA01 study) assessed by geriatricians using the CGA. Multivariate analysis was used to identify factors associated with changes in the cancer treatment (intensification, decrease, or delayed > 2 weeks). Change was defined as a difference between the initial treatment proposal and the final treatment selected in a multidisciplinary meeting. RESULTS: Mean age was 79.6 years (standard deviation [SD], 5.6 years), and 197 (52.5%) were women. The most common tumor location was the digestive system (58.7%). The mean number of comorbidities was 4.2 (SD, 2.7) per patient, and the mean Cumulative Illness Rating Scale for Geriatrics score was 11.8 (SD, 5.3). After the CGA, the initial cancer treatment plan was modified for 78 (20.8%) of 375 patients (95% CI, 16.8 to 25.3), usually to decrease treatment intensity (63 [80.8%] of 78 patients). By univariate analysis, cancer treatment changes were associated with Eastern Cooperative Oncology Group performance status ≥ 2 (73.3% in the group with changes v 41.1% in the in the group without changes; P < .001), dependency for one or more activities of daily living (ADL; 59.0% v 24.2%; P < .001), malnutrition (81.8% v 51.2%; P < .001), cognitive impairment (38.5% v 24.9%; P = .023), depression (52.6% v 21.7%; P < .001), and greater number of comorbidities (mean, 4.8 [SD, 2.9] v 4.0 [SD, 2.6]; P = .02). By multivariate analysis, factors independently associated with cancer treatment changes were a lower ADL score (odds ratio [OR], 1.25 per 0.5-point decrease; CI, 1.04 to 1.49; P = .016) and malnutrition (OR, 2.99; CI, 1.36 to 6.58; P = .007). CONCLUSION: Functional status assessed by the ADL score and malnutrition were independently associated with changes in cancer treatment.
Authors: Arti Hurria; Ilene S Browner; Harvey Jay Cohen; Crystal S Denlinger; Mollie deShazo; Martine Extermann; Apar Kishor P Ganti; Jimmie C Holland; Holly M Holmes; Mohana B Karlekar; Nancy L Keating; June McKoy; Bruno C Medeiros; Ewa Mrozek; Tracey O'Connor; Stephen H Petersdorf; Hope S Rugo; Rebecca A Silliman; William P Tew; Louise C Walter; Alva B Weir; Tanya Wildes Journal: J Natl Compr Canc Netw Date: 2012-02 Impact factor: 11.908
Authors: L Decoster; C Kenis; D Schallier; J Vansteenkiste; K Nackaerts; L Vanacker; N Vandewalle; J Flamaing; J P Lobelle; K Milisen; J De Grève; H Wildiers Journal: Lung Date: 2017-06-20 Impact factor: 2.584
Authors: Jin Won Kim; Yu Jung Kim; Keun-Wook Lee; Hyun Chang; Jeong-Ok Lee; Kwang-Il Kim; Soo-Mee Bang; Jong Seok Lee; Cheol-Ho Kim; Jee Hyun Kim Journal: Support Care Cancer Date: 2013-11-28 Impact factor: 3.603