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Assessing the national antibiotic surveillance data to identify burden for melioidosis in Malaysia.
Arushothy, Revathy; Mohd Ali, Mohammad Ridhuan; Zambri, Hana Farizah; Muthu, Vickneshwaran; Hashim, Rohaidah; Chieng, Sylvia; Nathan, Sheila.
Afiliação
  • Arushothy R; Institute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
  • Mohd Ali MR; Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
  • Zambri HF; Institute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
  • Muthu V; Institute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
  • Hashim R; Disease Control Division, Ministry of Health Malaysia, Federal Government Administrative Centre, Putrajaya, Malaysia.
  • Chieng S; Institute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
  • Nathan S; Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
IJID Reg ; 10: 94-99, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38179416
ABSTRACT

Objectives:

A leading cause of morbidity and mortality in Southeast Asia, the epidemiological data on melioidosis disease occurrence and mortality in Malaysia is not comprehensive. The aim of this study is to determine the burden of melioidosis and assess the National Surveillance for Antibiotic Resistance (NSAR) data as a potential tool melioidosis surveilance in Malaysia.

Methods:

We performed a retrospective analysis on the B. pseudomallei reposited data submitted to the NSAR network between January 2014 and December 2020. The data were screened for information on patient demographics and specimen types. Additional patient comorbidities and outcomes were drawn from parallel surveillance for bacteremic melioidosis.

Results:

The average annual incidence rate of melioidosis between 2014-2020 was 3.41 per 100,000 population and was significantly different between states (P <0.001). The highest incidence was observed in Pahang at 11.33 per 100,000 population. Individuals of Malay ethnicity, from the states of Pahang, Johor, Perak, and Negeri Sembilan aged 40-49, who were diabetic and working in agriculture-related sectors had a higher risk of succumbing to the infection.

Conclusion:

Assessing the NSAR data proved to be a useful tool for the determination of the incidence and socio-demographic risk factors attributed to melioidosis in Malaysia.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article