Predicting Risk of Severe Toxicity and Early Death in Older Adult Patients Treated with Chemotherapy.
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ABSTRACT: Background
Determining the risk of grade 3-5 toxicity and early death (ED) is important to plan chemotherapy in older adult patients with cancer. Our objective was to identify factors predicting these complications at the time of treatment initiation.Methods
234 patients aged ≥70 were subjected to a geriatric assessment and variables related to the tumor and the treatment were also collected. Logistic regression multivariable analysis was used to relate these factors with the appearance of grade 3-5 toxicity and ED. Predictive scores for both toxicity and ED were then developed.Results
Factors related to grade 3-5 toxicity were hemoglobin, MAX2 index, ADL, and the CONUT score. Factors related to ED were tumor stage and the GNRI score. Two predictive scores were developed using these variables. ROC curves for the prediction of toxicity and ED were 0.71 (95% CI: 0.64-0.78) and 0.73 (95% CI: 0.68-0.79), respectively.Conclusions
Two simple and reliable scores were developed to predict grade 3-5 toxicity and ED in older adult patients with cancer. This may be helpful in treatment planning.
SUBMITTER: Feliu J
PROVIDER: S-EPMC10526243 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
Publications
Predicting Risk of Severe Toxicity and Early Death in Older Adult Patients Treated with Chemotherapy.
Feliu Jaime J Custodio Ana Belén AB Pinto-Marín Alvaro A Higuera Oliver O Pérez-González Miriam M Del Pino Laura L Ruiz-Jiménez Leticia L Sánchez-Cabero Darío D Viera Isabel I Jurado Ana A Espinosa Enrique E
Cancers 20230921 18
<h4>Background</h4>Determining the risk of grade 3-5 toxicity and early death (ED) is important to plan chemotherapy in older adult patients with cancer. Our objective was to identify factors predicting these complications at the time of treatment initiation.<h4>Methods</h4>234 patients aged ≥70 were subjected to a geriatric assessment and variables related to the tumor and the treatment were also collected. Logistic regression multivariable analysis was used to relate these factors with the app ...[more]
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