Antibiotic use patterns and factors associated with leukocyte decrease in COVID-19 patients with suspected secondary infections: A cross-sectional study in Indonesia

Antibiotics are frequently prescribed to coronavirus disease 2019 (COVID-19) patients, often without evidence of bacterial superinfection, increasing the risk of antibiotic resistance and posing a public health threat. The aim of this study was to evaluate antibiotic prescribing patterns in COVID-19 patients with suspected secondary infections and to assess the association between antibiotic use and clinical outcomes, particularly leukocyte count. The study analyzed 376 hospitalized COVID-19 patients from two hospitals in Bandung, Indonesia, between 2020 and 2022. All included patients were aged ≥17 years with confirmed COVID-19, leukocyte count >11,000 μg/L, and received antibiotic therapy. The Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) and drug utilization (DU) 90% were used to assess prescribing patterns. The patients' demographic characteristics, clinical and culture results were also collected. Our data indicated that most patients received multiple antibiotics (>2), with prescribing patterns significantly associated with age, confirmed bacterial pathogen, length of hospital stay and having tuberculosis infection. The most frequently identified pathogens included Gram-positive bacteria <i>Staphylococcus aureus, Staphylococcus haemolyticus</i> and Gram-negative bacteria <i>Klebsiella pneumoniae, Acinetobacter baumannii,</i> and <i>Escherichia coli.</i> The most frequently prescribed antibiotics were azithromycin, levofloxacin, and ceftriaxone. No significant association was found between the number of antibiotics prescribed and clinical outcome (leukocyte normalization). Broad-spectrum antibiotics from the World Health Organization (WHO) AWaRe "Watch" category dominated the antibiotic prescriptions in the patients. While antibiotic selection was generally aligned with pathogen type and comorbidities, standardized guidelines remain crucial to optimizing antibiotic use, particularly in settings with limited pathogen testing.

Authors

Institutions

Publication Details

Journal
Narra J
Published
2025-03-31
DOI
https://doi.org/10.52225/narra.v5i1.2170
Citations
2
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
2.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic use patterns and factors associated with leukocyte decrease in COVID-19 patients with suspected secondary infections: A cross-sectional study in Indonesia

Pricella Aqwilla Ginting, Lia Amalia, Arto Yuwono Soeroto, Nadia Hanum et al.
2 citations
Narra J
Antibiotic Use and Resistance
2.52
article

Antibiotic use patterns and factors associated with leukocyte decrease in COVID-19 patients with suspected secondary infections: A cross-sectional study in Indonesia

Pricella Aqwilla Ginting, Lia Amalia, Arto Yuwono Soeroto, Nadia Hanum, T. I. Armina Padmasawitri, Raden Desy Nurhayati
article en
2 citations

Abstract

Antibiotics are frequently prescribed to coronavirus disease 2019 (COVID-19) patients, often without evidence of bacterial superinfection, increasing the risk of antibiotic resistance and posing a public health threat. The aim of this study was to evaluate antibiotic prescribing patterns in COVID-19 patients with suspected secondary infections and to assess the association between antibiotic use and clinical outcomes, particularly leukocyte count. The study analyzed 376 hospitalized COVID-19 patients from two hospitals in Bandung, Indonesia, between 2020 and 2022. All included patients were aged ≥17 years with confirmed COVID-19, leukocyte count >11,000 μg/L, and received antibiotic therapy. The Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) and drug utilization (DU) 90% were used to assess prescribing patterns. The patients' demographic characteristics, clinical and culture results were also collected. Our data indicated that most patients received multiple antibiotics (>2), with prescribing patterns significantly associated with age, confirmed bacterial pathogen, length of hospital stay and having tuberculosis infection. The most frequently identified pathogens included Gram-positive bacteria <i>Staphylococcus aureus, Staphylococcus haemolyticus</i> and Gram-negative bacteria <i>Klebsiella pneumoniae, Acinetobacter baumannii,</i> and <i>Escherichia coli.</i> The most frequently prescribed antibiotics were azithromycin, levofloxacin, and ceftriaxone. No significant association was found between the number of antibiotics prescribed and clinical outcome (leukocyte normalization). Broad-spectrum antibiotics from the World Health Organization (WHO) AWaRe "Watch" category dominated the antibiotic prescriptions in the patients. While antibiotic selection was generally aligned with pathogen type and comorbidities, standardized guidelines remain crucial to optimizing antibiotic use, particularly in settings with limited pathogen testing.

Narra JVol. 5(1)
Bandung Institute of Technology (ID), Dr. Hasan Sadikin General Hospital (ID)
Good health and well-being
Openalex Percentile: Top 11%
Antibiotic Use and Resistance
2.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.