Antibiotic Resistance during COVID-19: A Systematic Review.
Hadi Jaber Al SulayyimRohani IsmailAbdullah Al HamidNoraini Abdul GhafarPublished in: International journal of environmental research and public health (2022)
One of the public health issues faced worldwide is antibiotic resistance (AR). During the novel coronavirus (COVID-19) pandemic, AR has increased. Since some studies have stated AR has increased during the COVID-19 pandemic, and others have stated otherwise, this study aimed to explore this impact. Seven databases-PubMed, MEDLINE, EMBASE, Scopus, Cochrane, Web of Science, and CINAHL-were searched using related keywords to identify studies relevant to AR during COVID-19 published from December 2019 to May 2022, according to PRISMA guidelines. Twenty-three studies were included in this review, and the evidence showed that AR has increased during the COVID-19 pandemic. The most commonly reported resistant Gram-negative bacteria was Acinetobacter baumannii , followed by Klebsiella pneumonia , Escherichia coli , and Pseudomonas aeruginosa . A. baumannii and K. pneumonia were highly resistant to tested antibiotics compared with E. coli and P. aeruginosa . Moreover, K. pneumonia showed high resistance to colistin. Commonly reported Gram-positive bacteria were Staphylococcus aureus and Enterococcus faecium . The resistance of E. faecium to ampicillin, erythromycin, and Ciprofloxacin was high. Self-antibiotic medication, empirical antibiotic administration, and antibiotics prescribed by general practitioners were the risk factors of high levels of AR during COVID-19. Antibiotics' prescription should be strictly implemented, relying on the Antimicrobial Stewardship Program (ASP) and guidelines from the World Health Organization (WHO) or Ministry of Health (MOH).
Keyphrases
- pseudomonas aeruginosa
- acinetobacter baumannii
- public health
- escherichia coli
- biofilm formation
- drug resistant
- multidrug resistant
- staphylococcus aureus
- cystic fibrosis
- risk factors
- healthcare
- klebsiella pneumoniae
- quality improvement
- emergency department
- machine learning
- risk assessment
- health information
- community acquired pneumonia
- global health