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An Update on Secondary Bacterial and Fungal Infections and Their Antimicrobial Resistance Pattern (AMR) in COVID-19 Confirmed Patients.
Boorgula, Sushma Yadav; Yelamanchili, Sadhana; Kottapalli, Pragathi; Naga, Mohini D.
Afiliação
  • Boorgula SY; Department of Microbiology, AIG Hospitals, Hyderabad, Telangana, India.
  • Yelamanchili S; Department of Microbiology, AIG Hospitals, Hyderabad, Telangana, India.
  • Kottapalli P; Department of Microbiology, AIG Hospitals, Hyderabad, Telangana, India.
  • Naga MD; Department of Microbiology, AIG Hospitals, Hyderabad, Telangana, India.
J Lab Physicians ; 14(3): 260-264, 2022 Sep.
Article em En | MEDLINE | ID: mdl-36119429
ABSTRACT
Introduction Since coronavirus disease 2019 (COVID-19) has limited treatment options, concern has been raised over secondary infections and antimicrobial resistance (AMR) patterns. It has been observed that patients who were infected with COVID-19 were predisposed to develop secondary infections. The purpose of the study is to ascertain the prevalence of the bacterial and fungal coinfections in COVID-19 patients, and also to assess the AMR patterns in the obtained isolates. Methods We have studied 200 clinical samples obtained from 122 COVID-19 positive patients. Pathogens were identified using Vitek 2 system. The demographic and clinical patterns were also observed. Results A total of 122 patients developed secondary infections. Patients aged more than 40 years were majorly affected ( p -value < 0.0001). Respiratory samples ( n = 96) were predominant. Klebsiella pneumoniae ( n = 68) was the most common pathogen isolated followed by Acinetobacter baumannii ( n = 54) and an overall 6% rise in the Carbapenem resistance was observed in the isolates. Conclusion To contain the secondary infections in COVID-19 patients, it is imperative to adhere to antimicrobial stewardship program and timely revise the empirical antibiotic policy.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article