RHEUMATIC FEVER: EPIDEMIOLOGICAL ANALYSIS OF HOSPITAL MORBIDITY IN THE STATE OF PARANÁ, FROM 2014 TO 2024

Keywords

Rheumatic fever
epidemiology
Paraná

How to Cite

Alencar Sandim de Melo, D., Albiero, J., Bertotti, A., Toretta, A., Dias, A., Nicézio, B., Da Silva, K., Júnior, M., & Iacono, N. (2024). RHEUMATIC FEVER: EPIDEMIOLOGICAL ANALYSIS OF HOSPITAL MORBIDITY IN THE STATE OF PARANÁ, FROM 2014 TO 2024. Brazilian Journal of Implantology and Health Sciences, 6(10), 822–845. https://doi.org/10.36557/2674-8169.2024v6n10p822-845

Abstract

Acute rheumatic fever is a multisystemic disease resulting from an autoimmune reaction to group A streptococcal infection. Along with rheumatic heart disease, it is associated with poverty and was prevalent in all countries until the 20th century. The aim of this study is to analyze the epidemiology of acute rheumatic fever cases in the state of Paraná, covering the period from 2014 to 2024. This is an ecological, descriptive, quantitative, and retrospective study, in which Hospital Morbidity data from the Brazilian Unified Health System (SUS) of patients reported with acute rheumatic fever from January 2014 to March 2024 in the state of Paraná were analyzed using data from the SUS Information Technology Department database. During this period, in the state of Paraná, the study sample included a total of 625 patients who were diagnosed and hospitalized due to acute rheumatic fever. The total cost of these hospitalizations reached R$ 530,845.59, reflecting the considerable economic burden imposed by the disease, with an average cost per Hospital Admission Authorization of R$ 849.36. Analysis of mortality data related to hospitalizations shows a total of 27 deaths. It is possible to conclude that acute rheumatic fever represents a significant challenge for the healthcare system in the state of Paraná, both in terms of incidence and financial impact and mortality. The analysis revealed a balanced distribution between genders, with a predominance of cases in white patients and a direct relationship between age group and number of diagnoses. The Eastern macro-region of the state was the most affected, which may be attributed to its higher population density and concentration of healthcare services, facilitating access to diagnosis and treatment.

https://doi.org/10.36557/2674-8169.2024v6n10p822-845

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Copyright (c) 2024 Danniely Alencar Sandim de Melo, Dr. James Albiero, Adrielli Bertotti, Ana Laura Toretta, Anna Julia Wunsch Dias, Bruna Araújo Nicézio, Kaoanna Taynara Dos Anjos Da Silva, Márcio Shikasho Júnior, Natália Regina Vieira Iacono