Development of a claims-based risk-scoring model to predict emergency department visits in older patients receiving anti-neoplastic therapy.
Sci Rep
; 14(1): 1485, 2024 01 17.
Article
en En
| MEDLINE
| ID: mdl-38233529
ABSTRACT
This study developed and validated a risk-scoring model, with a particular emphasis on medication-related factors, to predict emergency department (ED) visits among older Korean adults (aged 65 and older) undergoing anti-neoplastic therapy. Utilizing national claims data, we constructed two cohorts the development cohort (2016-2018) with 34,642 patients and validation cohort (2019) with 10,902 patients. The model included a comprehensive set of predictors demographics, cancer type, comorbid conditions, ED visit history, and medication use variables. We employed the least absolute shrinkage and selection operator (LASSO) regression to refine and select the most relevant predictors. Out of 120 predictor variables, 12 were integral to the final model, including seven related to medication use. The model demonstrated acceptable predictive performance in the validation cohort with a C-statistic of 0.76 (95% CI 0.74-0.77), indicating reasonable calibration. This risk-scoring model, after further clinical validation, has the potential to assist healthcare providers in the effective management and care of older patients receiving anti-neoplastic therapy.
Texto completo:
1
Colección:
01-internacional
Asunto principal:
Servicio de Urgencia en Hospital
/
Visitas a la Sala de Emergencias
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Aged
/
Humans
Idioma:
En
Revista:
Sci Rep
Año:
2024
Tipo del documento:
Article