Evidence map›Paper›PMID 36551465›Full record

ArticleAntibiotics (Basel, Switzerland)2022

The Antimicrobial Resistance (AMR) Rates of Uropathogens in a Rural Western African Area-A Retrospective Single-Center Study from Kpando, Ghana.

Susanne Deininger, Therese Gründler, Sebastian Hubertus Markus Deininger, Karina Lütcke, Harry Lütcke, James Agbesi, Williams Ladzaka, Eric Gyamfi, Florian Wichlas, Valeska Hofmann and 5 more

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Fluoroquinolone Resistance inMicroorganisms · 2024
    Review
  6. Review
  7. Article
  8. The Antimicrobial Resistance (AMR) Rates ofAntibiotics (Basel, Switzerland) · 2023
    Article
  9. Article
  10. 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

15 authors at 4 institutions in 3 countries.

Susanne DeiningerDepartment of Urology and Andrology, Salzburg University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0003-3541-6973
Therese GründlerDepartment of Urology and Andrology, Salzburg University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.
Sebastian Hubertus Markus DeiningerDepartment of Urology and Andrology, Salzburg University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.
Karina LütckeDoctors for Africa e. V., 77654 Offenburg, Germany.
Harry LütckeDoctors for Africa e. V., 77654 Offenburg, Germany.
James AgbesiMargret Marquart Catholic Hospital, Kpando, Ghana.
Williams LadzakaMargret Marquart Catholic Hospital, Kpando, Ghana.
Eric GyamfiMargret Marquart Catholic Hospital, Kpando, Ghana.
Florian WichlasNo Limit Surgery (NLS), 5020 Salzburg, Austria.
Valeska HofmannNo Limit Surgery (NLS), 5020 Salzburg, Austria.
Eva ErneUniversity Clinic of Urology, Eberhard Karls University, 72076 Tübingen, Germany.ORCID 0000-0003-3478-7625
Peter TörzsökDepartment of Urology and Andrology, Salzburg University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0003-0661-388X
Lukas LusuardiDepartment of Urology and Andrology, Salzburg University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-5284-7276
Jan Marco KernUniversity Institute of Clinical Microbiology and Hygiene, Paracelsus Medical University, 5020 Salzburg, Austria.
Christian DeiningerNo Limit Surgery (NLS), 5020 Salzburg, Austria.ORCID 0000-0003-3235-0964
Paracelsus Medical University · ATCatholic University College of Ghana · GHGerman Doctors · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the antimicrobial resistance (AMR) status of uropathogens in Western Africa. We performed a retrospective evaluation of urine cultures collected from the rural Margret Marquart Catholic Hospital, Kpando, Ghana during the time period from October 2019−December 2021. Urine samples from 348 patients (median age 40 years, 52.6% male) were examined. Of these, 125 (35.9%) showed either fungal or bacterial growth, including Escherichia coli in 48 (38.4%), Candida species (spp.) in 29 (23.2%), Klebsiella spp. in 27 (21.6%), Proteus spp. in 12 (9.6%), Citrobacter spp. in 10 (8.0%), Salmonella spp. in 4 (3.2%), Staphylococcus spp. in 3 (2.4%), and Pseudomonas spp. in 2 (1.6%) cases. Two bacterial spp. were detected in 7 samples (5.6%). Antibiotic susceptibility testing showed resistance to a mean 8.6 out of 11 tested antibiotics per patient. Significant predictors (p < 0.05) of bacterial growth were age (OR 1.03), female sex (OR 3.84), and the number of pus cells (OR 1.05) and epithelial cells (OR 1.07) in urine microscopy. We observed an alarmingly high AMR rate among the uropathogens detected, even to reserve antibiotics. A similar resistance profile can be expected in West African patients living in high-income countries. These observations warrant the implementation of restrictive antibiotic protocols, together with the expansion of urine culture testing capacities, improvement of documentation and reporting of AMR rates, and continued research and development of new antibiotic therapies in order to stem the progression of AMR in this West African region.

Indexed as

bacterial resistance rateslow-income countryuropathogen infection

Identifiers

PMID36551465
PMCPMC9774093
OpenAlexW4311378846

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.