Population-based analysis of the epidemiology of the surgical correction of hyperhidrosis in 1,216 patients over 11 years: a cross-sectional study
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Citações na Scopus
1
Tipo de produção
article
Data de publicação
2022
Título da Revista
ISSN da Revista
Título do Volume
Editora
ASSOCIACAO PAULISTA MEDICINA
Autores
SILVA, Marcelo Fiorelli Alexandrino da
LOUZADA, Andressa Cristina Sposato
TEIVELIS, Marcelo Passos
STABELLINI, Nickolas
LEIDERMAN, Dafne Braga Diamante
Citação
SAO PAULO MEDICAL JOURNAL, v.140, n.6, p.775-780, 2022
Resumo
BACKGROUND: Endoscopic thoracic sympathectomy is the definitive surgical treatment for hyperhidrosis and a nationwide study has suggested that cultural and socioeconomic factors play a role in the numbers of operations performed. Thus, there is a need to evaluate local data in order to understand the local epi-demiology and trends in hyperhidrosis treatment. OBJECTIVE: To study the epidemiology of sympathectomy for treating hyperhidrosis in Sko Paulo, the largest city in Brazil. DESIGN AND SETTING: Population-based retrospective cross-sectional study. METHODS: Data on sympathectomies for treating hyperhidrosis between 2008 and 2018 were assessed from the database of the Municipal Health Department of Sko Paulo, Brazil. RESULTS: 65.29% of the patients were female, 66.2% were aged between 20 and 39 years and 37.59% had registered with addresses outside Sko Paulo. 1,216 procedures were performed in the city of Sko Paulo from 2008 to 2018, and 78.45% of them were in only two public hospitals. The number of procedures significantly declined over the years (P = 0.001). 71.63% of the procedures were associated with 2-3 days of hospital stay, only 78 intensive care unit days were billed and we did not observe any intra-hospital death. CONCLUSION: The profile of patients operated on in Sko Paulo (young women) is similar to that described in other populations. Sympathectomy is a very safe procedure, with no mortality in our series. There was a decreasing trend in the number of surgeries over the years.
Palavras-chave
Sympathectomy, Big data, Public health
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