ABSTRACT
Longitudinal monitoring of indicators of accidental falls can facilitate the planning of effective care and prevention actions. This article aims to analyze temporal trends in variables related to falls among older persons in Brazil and in the state of São Paulo during the period 2000-2020 and estimate the projected economic burden on the health system in 2025. We conducted a quantitative retrospective observational study using data from the Health Information System. The Joinpoint Regression Program version 4.7.0 and SPSS version 20.0 were used to perform linear regression and calculate the Average Annual Percent Change (AAPC), adopting a 95% confidence interval. There was an increase in mean and total admissions costs due to falls at national level in both intervals of the study period. There was an increase in total admissions costs and the total number of admissions due to falls in the state of São Paulo (AAPC of 8.5% and 4.3%, respectively). Projections for the year 2025 suggest that the total number of admissions due to falls in Brazil will be around 150,000, resulting in costs of approximately R$ 260 million. There was an increase in the variables analyzed by this study, revealing the importance of fall prevention programs associated with national public policies.
O acompanhamento longitudinal de indicadores, como os relacionados às quedas acidentais, pode facilitar o planejamento de ações mais eficazes de assistência e prevenção. O objetivo deste artigo é analisar a tendência temporal das variáveis relacionadas aos acidentes de quedas na população idosa no Brasil e no estado de São Paulo entre 2000 e 2020 e estimar o impacto econômico para o SUS em 2025. Este é um estudo observacional retrospectivo com abordagem quantitativa, com dados do Sistema de Informação em Saúde. Foram utilizados os softwares Joinpoint Regression Program versão 4.7.0 e SPSS versão 20.0 para a realização de regressões lineares, além da análise Average Annual Percent Change (AAPC), adotando um intervalo de confiança de 95%. No país, houve aumento das internações nos dois períodos analisados, assim como os gastos totais, em todos os segmentos analisados. Em concordância no estado de São Paulo, o valor total e as internações apresentaram aumento (AAPC, sendo 8,5% e 4,3% respectivamente). No ano de 2025, as internações por quedas no Brasil estarão próximas a 150 mil, gerando custos em torno de R$ 260 milhões. Houve o aumento das variáveis analisadas, mostrando a importância de programas de prevenção de quedas associados a políticas públicas nacionais.
Subject(s)
Accidental Falls , Financial Stress , Humans , Aged , Aged, 80 and over , Brazil/epidemiology , Accidental Falls/prevention & control , Hospitalization , Costs and Cost AnalysisABSTRACT
Resumo O acompanhamento longitudinal de indicadores, como os relacionados às quedas acidentais, pode facilitar o planejamento de ações mais eficazes de assistência e prevenção. O objetivo deste artigo é analisar a tendência temporal das variáveis relacionadas aos acidentes de quedas na população idosa no Brasil e no estado de São Paulo entre 2000 e 2020 e estimar o impacto econômico para o SUS em 2025. Este é um estudo observacional retrospectivo com abordagem quantitativa, com dados do Sistema de Informação em Saúde. Foram utilizados os softwares Joinpoint Regression Program versão 4.7.0 e SPSS versão 20.0 para a realização de regressões lineares, além da análise Average Annual Percent Change (AAPC), adotando um intervalo de confiança de 95%. No país, houve aumento das internações nos dois períodos analisados, assim como os gastos totais, em todos os segmentos analisados. Em concordância no estado de São Paulo, o valor total e as internações apresentaram aumento (AAPC, sendo 8,5% e 4,3% respectivamente). No ano de 2025, as internações por quedas no Brasil estarão próximas a 150 mil, gerando custos em torno de R$ 260 milhões. Houve o aumento das variáveis analisadas, mostrando a importância de programas de prevenção de quedas associados a políticas públicas nacionais.
Abstract Longitudinal monitoring of indicators of accidental falls can facilitate the planning of effective care and prevention actions. This article aims to analyze temporal trends in variables related to falls among older persons in Brazil and in the state of São Paulo during the period 2000-2020 and estimate the projected economic burden on the health system in 2025. We conducted a quantitative retrospective observational study using data from the Health Information System. The Joinpoint Regression Program version 4.7.0 and SPSS version 20.0 were used to perform linear regression and calculate the Average Annual Percent Change (AAPC), adopting a 95% confidence interval. There was an increase in mean and total admissions costs due to falls at national level in both intervals of the study period. There was an increase in total admissions costs and the total number of admissions due to falls in the state of São Paulo (AAPC of 8.5% and 4.3%, respectively). Projections for the year 2025 suggest that the total number of admissions due to falls in Brazil will be around 150,000, resulting in costs of approximately R$ 260 million. There was an increase in the variables analyzed by this study, revealing the importance of fall prevention programs associated with national public policies.
ABSTRACT
BACKGROUND: Studies have demonstrated a decreased platelet ADAM10 expression in patients with Alzheimer's Disease (AD), classifying this protein as a blood-based AD biomarker. About 50% of the patients with AD are diagnosed with depression, which is commonly treated with tricyclic and tetracyclic antidepressants, monoaminoxidade (MAO) inhibitors and, more preferably, with selective serotonin reuptake inhibitors (SSRIs). Considering that a large proportion of patients with AD takes antidepressant medications during the course of the disease we investigated the influence of this medication on the expression of platelet ADAM10, which is considered the main α-secretase preventing beta-amyloid (ßA) formation. METHODS: Blood was collected for protein extraction from platelets. ADAM10 was analyzed by using western blotting and reactive bands were measured using ß-actin as endogenous control. RESULTS: Platelet ADAM10 protein expression in patients with AD was positively influenced by serotoninergic medication. CONCLUSION: More studies on the positive effects of serotonergic antidepressants on ADAM10 platelet expression should be performed in order to understand its biological mechanisms and to verify whether these effects are reflected in the central nervous system. This work represents an important advance for the study of AD biomarkers, as well as for more effective pharmacological treatment of patients with AD and associated depression.
