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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Impact of the GeneXpert (R) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories

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Autor(es):
Berra, Thais Zamboni [1, 2] ; Inomata Bruce, Alexandre Tadashi [3, 1] ; Alves, Yan Mathias [1, 4] ; Vieira Ramos, Antonio Carlos [1, 4] ; Giacomet, Clovis Luciano [1] ; Arcencio, Ricardo Alexandre [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, PAHO WHO Collaborating Ctr Nursing Res Dev, Escola Enfermagem Ribeirao Preto, Ribeirao Preto, SP - Brazil
[2] Fundacao Amparo Pesquisa Estado Sao Paulo FAPESP, Sao Paulo - Brazil
[3] Conselho Nacl Desenvolvimento Cient & Tecnol CNPq, Brasilia, DF - Brazil
[4] Coordenacao Aperfeigoamento Pessoal Nivel Super C, Brasilia, DF - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Revista Latino-Americana de Enfermagem; v. 29, 2021.
Citações Web of Science: 0
Resumo

Objective: to assess the impact of the GeneXpert (R) MTB/RIF rapid molecular test on tuberculosis detection, to analyze the temporal trend of the event and to identify vulnerable territories in a Brazilian municipality. Method: an ecological study carried out in Ribeirao Preto, Sao Paulo, Brazil, a municipality considered a priority in tuberculosis control due to the high number of cases. To classify the temporal trend, the Prais-Winsten method and the Interrupted Time Series were used to identify changes in the disease incidence. Kernel intensity analysis was applied to identify vulnerable areas. Results: the temporal trend of tuberculosis decreased by 18.1%/year and by 6.9%/year for children under 15 years old. The North District decreased by 6.67%/ year and the East District increased by 17.5%/year in the incidence of tuberculosis. Resistant tuberculosis, after the implementation of the Rapid Molecular Test, increased by 0.6% per year. The South and West Districts showed a higher density of cases, with a range from 45 to 79 tuberculosis cases per square kilometer (km(2)). Conclusion: although resistant tuberculosis is not a problem in the scenario, the study showed an increase in its incidence, which puts it on alert. The use of spatial analysis enabled the identification of priority areas, putting them in evidence for health surveillance actions. (AU)

Processo FAPESP: 18/03700-7 - O impacto do gene Xpert MTB/RIF na detecção da Tuberculose e da Tuberculose Multidroga-Resistente e seu padrão espacial em Ribeirão Preto-SP
Beneficiário:Thaís Zamboni Berra
Modalidade de apoio: Bolsas no Brasil - Doutorado