Evidence map›Paper›PMID 35997388›Full record

ArticlePathophysiology : the official journal of the International Society for Pathophysiology2022

Pathophysiology of Methicillin-Resistant

Gul Habib, Khalid Mahmood, Haji Gul, Muhammad Tariq, Qurat Ul Ain, Azam Hayat, Mujaddad Ur Rehman

Open access · goldAbstract read
In one paragraph

Article in Pathophysiology : the official journal of the International Society for Pathophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Teicoplanin associated geneFrontiers in microbiology · 2023
    Article
  12. 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

7 authors at 4 institutions in 2 countries.

Gul HabibDepartment of Microbiology, Abbottabad University of Science and Technology, Havelian, Abbottabad 22010, Pakistan.
Khalid MahmoodNational Institute of Virology, Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75850, Pakistan.ORCID 0000-0001-8647-8512
Haji GulCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Muhammad TariqInstitute of Paramedical Sciences, Khyber Medical University, Peshawar 25000, Pakistan.
Qurat Ul AinDepartment of Microbiology, Abbottabad University of Science and Technology, Havelian, Abbottabad 22010, Pakistan.
Azam HayatDepartment of Microbiology, Abbottabad University of Science and Technology, Havelian, Abbottabad 22010, Pakistan.
Mujaddad Ur RehmanDepartment of Microbiology, Abbottabad University of Science and Technology, Havelian, Abbottabad 22010, Pakistan.
Abbottabad University of Science and Technology · PKAnhui Agricultural University · CNKhyber Medical University · PKUniversity of Karachi · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global spread of the coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has infected humans in all age groups, deteriorated host immune responses, and caused millions of deaths. The reasons for individuals succumbing to COVID-19 were not only the SARS-CoV-2 infection but also associated bacterial infections. Antibiotics were largely used to prevent bacterial infections during COVID-19 illness, and many bacteria became resistant to conventional antibiotics. Although COVID-19 was considered the main culprit behind the millions of deaths, bacterial coinfections and superinfections were the major factors that increased the mortality rate in hospitalized patients. In the present study, we assessed the pathophysiology of methicillin-resistant Staphylococcus aureus (MRSA) superinfection in COVID-19 patients in Pakistan. A total of 3492 COVID-19 hospitalized patients were screened among which 224 strain were resistant to methicillin; 110 strains were tazobactam-resistant; 53 strains were ciprofloxacin-resistant; 23 strains were gentamicin-resistant; 11 strains were azithromycin-resistant; 3 strains were vancomycin-resistant. A high frequency of MRSA was detected in patients aged ≥50 with a prevalence of 7.33%, followed by patients aged >65 with a prevalence of 5.48% and a 5.10% prevalence in patients aged <50. In addition, pneumonia was detected in the COVID-19-associated MRSA (COVID-MRSA) that showed decreased levels of lymphocytes and albumin and increased the mortality rate from 2.3% to 25.23%. Collectively, an MRSA superinfection was associated with increased mortality in COVID-19 after 12 to 18 days of hospitalization. The study assessed the prevalence of MRSA, mortality rate, pneumonia, and the emergence of antibiotic resistance as the main outcomes. The study summarized that COVID-MRSA aggravated the treatment and recovery of patients and suggested testing MRSA as critical for hospitalized patients.

Indexed as

antibiotic resistanceCOVID-19mecAMRSApneumonia

Identifiers

PMID35997388
PMCPMC9397082
OpenAlexW4288450755

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.