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MICROBIAL PATTERNS AND DRUG SENSITIVITY TEST OF BACTERIAL AND FUNGAL INFECTION IN COVID-19 PATIENTS AT THE NATIONAL REFERRAL HOSPITAL IN NORTH SUMATRA, INDONESIA.

Authors: Florense, SIBARANI Ursula Regina; Magdalena, SINAGA Bintang Yinke; Muntasir; Erna, MUTIARA;

MICROBIAL PATTERNS AND DRUG SENSITIVITY TEST OF BACTERIAL AND FUNGAL INFECTION IN COVID-19 PATIENTS AT THE NATIONAL REFERRAL HOSPITAL IN NORTH SUMATRA, INDONESIA.

Abstract

Bacteria or fungi in COVID-19 involves several mechanisms that can affect immune system and also can increase severity of symptoms. The incidence of bacterial or fungal infections is common in patients with viral respiratory tract infections. The aim of this study was to determine the microbial patterns and sensitivity tests of bacterial and fungal infection in COVID-19 patients at National Referral Hospital in North Sumatra, Indonesia.A cross-sectional design, where data was obtained from a 100 COVID-19 patients medical records, from December 2020 to April 2021. This study employed total sampling, those that fit the inclusion and exclusion criteria.A total population of 100 COVID-19 patients were included, with bacterial infections in 26 patients (26%), fungi in 5 patients (5%), bacteria and fungi in 5 patients (5%). The most common bacterial pathogen was Acinetobacter baumannii in 14 patients (45.1%), followed with Klebsiella pneumonia in 5 patients (16.1%), Pseudomonas aeruginosa in 5 patients (16.1%) and Escherichia coli in 3 patients (9.6%). The most sensitive antibiotic in Acinetobacter baumannii was Amikacin (57.14%). The most common fungal infection was Candida albicans in 5 patients (50.0%) and mostly sensitive to Fluconazole, Voriconazole, Caspofungin, Amphotericin B, Micafungin and Flucytosine (60.0%).Bacterial and fungal infections can occur in COVID-19 patients, bacterial infection most commonly found in this study. The most sensitive antibiotic or anti-fungal is different for each bacterial or fungal found, and can be used as a basis for antibiotic selection for COVID-19 patients.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
Average
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