Evidence map›Paper›PMID 35721772›Full record

ArticleIJID regions2021

Microbial coinfections and superinfections in critical COVID-19: a Kenyan retrospective cohort analysis.

Joe Rakiro, Jasmit Shah, Wangari Waweru-Siika, Ivy Wanyoike, Felix Riunga

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A pilot study of the impact of bacterial and fungal coinfections on mildly ill COVID-19 patients.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Pathophysiology of Methicillin-ResistantPathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  9. Genomic Characterization of ClinicalAntibiotics (Basel, Switzerland) · 2022
    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

5 authors at 1 institution in 1 country.

Joe RakiroDepartment of Medicine, Aga Khan University Medical College of East Africa, Nairobi, Kenya.
Jasmit ShahDepartment of Medicine, Aga Khan University Medical College of East Africa, Nairobi, Kenya.
Wangari Waweru-SiikaDepartment of Anesthesia, Aga Khan University Medical College of East Africa, Nairobi, Kenya.
Ivy WanyoikeIntensive Care Unit, Aga Khan University Hospital, Nairobi.
Felix RiungaDepartment of Medicine, Aga Khan University Medical College of East Africa, Nairobi, Kenya.
Aga Khan University Hospital Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of our study was to outline the burden, risk factors, and outcomes for critical COVID-19 patients with coinfections or superinfections. Methods: This was a retrospective descriptive study of adults who were admitted with critical COVID-19 for ≥ 24 hours. Data collected included demographic profiles and other baseline characteristics, laboratory and radiological investigations, medical interventions, and clinical outcomes. Outcomes of interest included the presence or absence of coinfections or superinfections, and in-hospital mortality. Differences between those with and without coinfections or superinfections were compared for statistical significance. Results: In total, 321 patient records were reviewed. Baseline characteristics included a median age (IQR) of 61.4 (51.4-72.9) years, and a predominance of male (71.3%) and African/black (66.4%) patients. Death occurred in 132 (44.1%) patients, with a significant difference noted between those with added infections (58.2%) and those with none (36.6%) ( Conclusion: Added infections in critically ill COVID-19 patients were relatively uncommon but, where present, were associated with higher mortality. Empiric use of broad-spectrum antimicrobials was common, and may have led to the selection of multidrug-resistant organisms. More robust local data on antimicrobial susceptibility patterns may help in appropriate antibiotic selection, in order to improve outcomes without driving up rates of drug-resistant pathogens.

Indexed as

antibioticcoinfectioncritical COVID-19Kenyasuperinfection

Identifiers

PMID35721772
PMCPMC8489262
OpenAlexW3203320998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.