Risk predictors for the consumption of potentially inappropriate medications in elderly people with pain

• Autor(a) principal: Koeche, Cristiane
• Data de Publicação: 2023
• Outros Autores: Carvalho, Luiz Sérgio Fernandes de
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: REVISA : Revista de Divulgação Científica Sena Aires (Online)
• Texto Completo: https://rdcsa.emnuvens.com.br/revista/article/view/142
• topic: Idoso; Polifármaco; Comorbidade; Elderly; Polypharmacy; Comorbidity

Objective: To verify which comorbidities may be predictors of the risk for use of potentially inappropriate medication for the elderly (PIME) and to develop a predictive model for the consumption of PIME. Method: It is a study retrospective, cross-sectional study with consecutive allocation of elderly patients treated on an outpatient basis.  Probabilistic models have been developed using  binary logistic regressions. Results: A model containing the variables pain, anxiety, depression, Elixhauser score, and number of medications reached an area under the curve of 0.853 (95%CI 0.813-0.893) to identify elderly people at risk of receiving PIME prescription. The results corroborate that anxiety [OR 10.6 (95%CI 1.29-87.0), p=0.028] and depression [OR 40.3 (95%CI 5.05-321), p<0.001] are independent risk factors for the use of PIME.Conclusion: Clinical decision support tools can incorporate predictive models such as those developed in the present study, increasing the level of information and facilitating the signaling of PIME at the time of prescription.