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1.
BMJ Open Respir Res ; 11(1)2024 02 21.
Artigo em Inglês | MEDLINE | ID: mdl-38387997

RESUMO

BACKGROUND: Respiratory diseases (RDs) cause millions of hospitalisations and deaths worldwide, resulting in economic and social impacts. Strategies for health promotion and disease prevention based on the epidemiological profile of the population may reduce hospital costs. AIM: To characterise hospitalisations and deaths due to RDs in Brazilian adults above 20 years old between 2008 and 2021. METHODS: This ecological study used secondary data of hospitalisations and deaths due to RDs from the Hospital Information System of the Brazilian Unified Health System between 2008 and 2021. Data were grouped according to region, age group and sex. The period was divided into first (2008-2011), second (2012-2015) and third (2016-2019) quadrennia and one biennium (2020-2021), and all data were analysed using the GraphPad Prism; statistical significance was set at p<0.05. RESULTS: A total of 9 502 378 hospitalisations due to RDs were registered between 2008 and 2021. The south and southeast regions presented the highest hospitalisation and fatality rate, respectively, in the age group ≥80 years with no significant differences between sexes. Also, RDs caused 1 170 504 deaths, with a national fatality rate of 12.32%. CONCLUSION: RDs affected the Brazilian population and impaired the health system, especially the hospital environment. The south/southeast regions were the most affected, and the ageing process contributed to the increased incidence of RDs.


Assuntos
Transtornos Respiratórios , Doenças Respiratórias , Adulto , Humanos , Idoso de 80 Anos ou mais , Adulto Jovem , Brasil/epidemiologia , Estudos Longitudinais , Hospitalização , Doenças Respiratórias/epidemiologia
2.
BMC Public Health ; 21(1): 403, 2021 02 25.
Artigo em Inglês | MEDLINE | ID: mdl-33632201

RESUMO

BACKGROUND: Diabetes mellitus (DM) is an important public health problem worldwide. In addition to the impairment in functionality, the large number of complications which lead to hospitalizations results in high treatment costs. The aim of this study was to analyze the incidence of hospitalizations, mortality rate and hospital costs, as well as to observe the temporal trend of hospitalizations and length of hospital stay due to DM between 2008 and 2019 in Brazil. METHODS: This is a longitudinal descriptive study in which all data regarding hospital admissions registered in the Brazilian system of Hospital Information of "Sistema Único de Saúde" (SIH/SUS; http://datasus.saude.gov.br ) due to DM (ICD-10) were included. Comparisons among the groups were performed by an unpaired Student's t-test, two-way ANOVA with a Tukey post hoc test (p < 0.05). RESULTS: An increased hospitalization of 1.83% due to DM was observed between 2008 and 2019 in Brazil. The Southeastern region had the highest incidence (34.6%) and mortality rate when compared to the other regions (p < 0.05). We also found that females were more likely to be hospitalized in comparison to males, without a statistically significant difference. Finally, a progressive increase of hospitalizations and mortality rate were observed according to age groups, as well as increased spending due to DM hospitalizations over the years. CONCLUSION: Hospitalizations due to DM in Brazil showed an expressive increase over the last 12 years, and there is a need for primary healthcare interventions to help reduce this situation.


Assuntos
Diabetes Mellitus , Hospitalização , Brasil/epidemiologia , Diabetes Mellitus/epidemiologia , Feminino , Custos de Cuidados de Saúde , Humanos , Estudos Longitudinais , Masculino
3.
BMC Cardiovasc Disord ; 20(1): 311, 2020 06 29.
Artigo em Inglês | MEDLINE | ID: mdl-32600334

RESUMO

BACKGROUND: Cardiovascular diseases (CVD) are the main cause of death and comorbidities worldwide. It is estimated that three quarters of all deaths related to CVD occur in low and middle income countries such as Brazil. Furthermore, it is estimated that emerging countries will present the highest worldwide prevalence of such diseases by 2050. In view of the above, this study aims to characterize Brazilian hospital admission distribution classified by the ICD-10 in adults between 2008 and 2017 in Brazil. METHODS: This is a longitudinal descriptive study in which all data regarding hospital admissions registered in the Brazilian Hospital Information System of "Sistema Único de Saúde" (SIH/SUS) due to cardiovascular diseases (ICD-10) were included. All admissions from private or public services linked to the SUS from 2008 and 2017 were evaluated. The following variables were collected: number of hospital admissions, place of hospitalization classified by the ICD-10 and mortality rate at the federal level and according to regions. Absolute values and frequency of hospital admissions were grouped according to sex, age and living region as well as the number of deaths. The extracted data was stored in a Microsoft Excel 2013 program spreadsheet. Statistical analysis was performed by GraphPad Prism version 5.0 software. RESULTS: There was a total of 11,345,821 hospital admissions due to CVD registered between 2008 and 2017. Individuals from 50 to 79 years old were the most affected. Heart failure (21.3%), other ischemic heart diseases (13.3%) and stroke (11.4%) were responsible for almost half of the hospital admissions associated to CVD. The number of registered deaths caused by any CVD was 867,838 and the national mortality rate was 7.82. CONCLUSION: CVD were responsible for around 10% of all hospital admissions in Brazil between 2008 and 2017. Moreover, it was possible to observe a decrease in hospital admissions as well as mortality rate over time after implementing governmental strategies to prevent cardiovascular diseases.


Assuntos
Doenças Cardiovasculares/epidemiologia , Admissão do Paciente/tendências , Adulto , Idoso , Idoso de 80 Anos ou mais , Brasil/epidemiologia , Doenças Cardiovasculares/classificação , Doenças Cardiovasculares/mortalidade , Doenças Cardiovasculares/terapia , Feminino , Mortalidade Hospitalar/tendências , Humanos , Incidência , Classificação Internacional de Doenças , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Mortalidade , Fatores de Tempo , Adulto Jovem
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