Evidence map›Paper›PMID 36540101›Full record

ArticleInfection and drug resistance2022

Utilization of Antibiotics for Hospitalized Patients with Severe Coronavirus Disease 2019 in Al-Madinah Al-Munawara, Saudi Arabia: A Retrospective Study.

Inass Taha, Yasser Abdou, Ikhlas Hammad, Omnia Nady, Gamal Hassan, Magdy F Farid, Fadwa S Alofi, Najla Alharbi, Emad Salamah, Nawaf Aldeeb and 9 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Inass TahaDepartment of Medicine, Faculty of Medicine, Taibah University, Al-Madinah Al-Munawara, Saudi Arabia.ORCID 0000-0002-5853-9282
Yasser AbdouDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Ikhlas HammadDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Omnia NadyDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Gamal HassanDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Magdy F FaridICU, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Fadwa S AlofiDepartment of Medicine, Infectious Disease Unit, King Fahad Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Najla AlharbiDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Emad SalamahDepartment of Urology, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Nawaf AldeebDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Ghaidaa ElmehallawyDepartment of Medicine, Faculty of Medicine, Taibah University, Al-Madinah Al-Munawara, Saudi Arabia.
Rehab AlruwathiDepartment of OB&GYN, MMCH Hospital, King Salman Medical City, Al-Madinah Al-Munawara, Saudi Arabia.
Elmaghraby SarahDepartment of Medicine, Prince Mohammad Bin Abdulaziz National Guard Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Alhusainin RashadDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Ola RammahDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Hassan ShoaibDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Mohammed ElSagheer OmarDepartment of Medicine, Ohud Hospital, Al-Madinah Al-Munawara, Saudi Arabia.
Yara ElmehallawyDepartment of Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Saba KassimDepartment of Preventive Dental Sciences, College of Dentistry, Taibah University, Al-Madinah Al-Munawara, Saudi Arabia.ORCID 0000-0001-6236-3390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most patients admitted to intensive care units (ICUs) with severe Corona Virus Disease 2019 (COVID-19) pneumonia receive antibacterial antibiotics with little evidence of bacterial infections. Objective: This study was designed to review the profiles of patients with severe COVID-19 pneumonia requiring intensive care, the rate of bacterial coinfection, the antibiotics used, and their relation to patient outcomes (death or recovery). Methods: This was a retrospective study that reviewed the medical records of all patients with confirmed COVID-19 (n = 120) severe pneumonia admitted directly from the emergency room to the intensive care unit, at a public hospital during the period from May 2020 to April 2021. The data collected included patients' demographic and laboratory data, comorbidities, antibiotic treatment, and their outcome. Descriptive statistics, bivariate inferential analysis tests (chi-square and unpaired T-Tests) and multivariable binary logistic regression were performed. Results: The mean age of the patients was 56.8 ± 16.5 years old, and among them, 74 (62.7%) were males. Of the included patients, 92 (77.0%) had comorbidities, 76 (63.3%) required mechanical ventilation and 30 (25%) died. All patients received empirical antibiotics for suspected bacterial coinfection. The most common antibiotics used were azithromycin (n = 97, 8%) and imipenem (n = 83, 9%). Ninety patients (75%) were on two empirical antibiotics. Early positive cultures for pathogens were found only in four patients (3.3%), whereas 36 (30%) patients had positive cultures 5-10 days after admission. The most frequently isolated pathogens were Conclusion: Bacterial coinfection with severe COVID-19 pneumonia requiring intensive care was unlikely. The benefit of Azithromycin over other antibiotics could be attributed to its anti-inflammatory properties rather than its antibacterial effect.

Indexed as

antibioticsbacterial coinfectioncoronavirus disease 2019intensive care unit

Identifiers

PMID36540101
PMCPMC9759980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.