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Use of the Cancer and Aging Research Group Predictive Model for Chemotherapy-Related Toxic Effects in a Multiethnic, Older Adult Asian Population.
Pang, Angela; Jiali, Low; Ng, Alex; Cheng, Joseph; Wang, Meng; Ng, Yean Shin; Yao, Yao; Chun, Meiling; Ho, Francis; Tey, Jeremy.
Afiliação
  • Pang A; Department of Haematology Oncology, National University Cancer Institute, Singapore.
  • Jiali L; Department of Haematology Oncology, National University Cancer Institute, Singapore.
  • Ng A; Yong Loo Lin School of Medicine, National University of Singapore.
  • Cheng J; Yong Loo Lin School of Medicine, National University of Singapore.
  • Wang M; Department of Medicine, National University Hospital, Singapore.
  • Ng YS; Department of Haematology Oncology, National University Cancer Institute, Singapore.
  • Yao Y; Department of Pharmacy, National University Hospital, Singapore.
  • Chun M; Department of Surgery, Ng Teng Fong General Hospital, Singapore.
  • Ho F; Department of Radiation Oncology, National University Cancer Institute, Singapore.
  • Tey J; Department of Radiation Oncology, National University Cancer Institute, Singapore.
JAMA Netw Open ; 5(10): e2237196, 2022 10 03.
Article em En | MEDLINE | ID: mdl-36255721
ABSTRACT
Importance The Cancer and Aging Research Group (CARG) prediction model for chemotherapy-related toxic effects has been developed but not yet validated in older Asian adults. In view of differences in drug metabolism and toxic effect reporting in the Asian population, the ability of this tool to guide the cancer treatment decision-making process in older Asian adults needs to be assessed.

Objective:

To examine the validity of the CARG predictive model in a multiethnic Asian cohort of older adults. Design, Setting, and

Participants:

In this prognostic study, patients of various Asian ethnicities 70 years or older with a solid tumor diagnosis receiving chemotherapy at the National University Cancer Institute, Singapore, were accrued from June 1, 2017, to January 1, 2019. Their risks of chemotherapy-related toxic effects were calculated using the CARG tool. A geriatric assessment was performed, and the treating oncologist (blinded to the CARG scores) was asked to give an estimated likelihood of toxic effects (low, medium, or high). Chemotherapy-related toxic effects were recorded during each clinic visit. Validation of the prediction model was performed by calculating the area under the receiver operating characteristic curve. Multivariate analyses were performed to identify variables in other domains in the geriatric assessment predicting for severe toxic effects. Main Outcomes and

Measures:

Grade 3 to 5 toxic effects and hospitalization.

Results:

The study included 200 patients (median age, 74 years [range, 70-89 years]; 110 [55.0%] male; 177 [88.5%] Chinese, 17 [8.5%] Malay, 4 [2.0%] Indian, and 2 [1.0%] other ethnicities [according to Singapore's national system of race classification]). A total of 137 patients (68.5%) experienced grade 3 to 5 toxic effects, and 131 (65.5%) required hospitalization. The area under the receiver operating characteristic curve for the CARG chemotoxicity prediction model was 0.74 (95% CI, 0.67-0.82), retaining good discrimination in the study population. Conclusions and Relevance This prognostic study conducted in a multiethnic Asian cohort of older adults supports the validity of the CARG predictive model in this population, predicting which older adults are at risk of chemotherapy-related toxic effects.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oncologistas / Neoplasias / Antineoplásicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: JAMA Netw Open Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oncologistas / Neoplasias / Antineoplásicos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: JAMA Netw Open Ano de publicação: 2022 Tipo de documento: Article