Evidence map›Paper›PMID 35698046›Full record

ArticleBMC infectious diseases2022

Molecular epidemiology and outcome of carbapenem-resistant Enterobacterales in Saudi Arabia.

Basem M Alraddadi, Emily L G Heaphy, Yamama Aljishi, Waleed Ahmed, Khalid Eljaaly, Hanan H Al-Turkistani, Abeer N Alshukairi, Mohammed O Qutub, Kholoud Alodini, Roaa Alosaimi and 9 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic review of multidrug-resistantFrontiers in microbiology · 2025
    Pooled it
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  19. Molecular Screening of Carbapenem-ResistantJournal of clinical medicine · 2023
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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.

Basem M AlraddadiKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia. balraddadi@kfshrc.edu.sa.
Emily L G HeaphyKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Yamama AljishiKing Fahd Specialist Hospital, Dammam, Saudi Arabia.
Waleed AhmedSecurity Forces Hospital, Makkah, Saudi Arabia.
Khalid EljaalyFaculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.
Hanan H Al-TurkistaniKing Abdullah Medical City, Makkah, Saudi Arabia.
Abeer N AlshukairiKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Mohammed O QutubKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Kholoud AlodiniDepartment of Medicine, King Abdulaziz Medical City, Jeddah, Saudi Arabia.
Roaa AlosaimiKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Waseem HassanSecurity Forces Hospital, Makkah, Saudi Arabia.
Dalya AttalahClinical Microbiology Laboratory, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Rakan AlswaielKing Fahd Medical City, Riyadh, Saudi Arabia.
Mohammed F SaeediKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Mohammed A Al-HamziKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Lama K HefniKing Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Reem S AlmaghrabiKing Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Mushira AnaniKing Fahd Medical City, Riyadh, Saudi Arabia.
Abdulhakeem AlthaqafiDepartment of Medicine, King Abdulaziz Medical City, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of carbapenem resistance is not well studied in the Middle East. We aimed to describe the molecular epidemiology and outcome of carbapenem-resistant Enterobacterales (CRE) infections from several Saudi Arabian Centers.

methodsThis is a multicenter prospective cohort study conducted over a 28-month period. Patients older than 14 years of age with a positive CRE Escherichia coli or Klebsiella pneumoniae culture and a clinically established infection were included in this study. Univariate and multivariable logistic models were constructed to assess the relationship between the outcome of 30-day all-cause mortality and possible continuous and categorical predictor variables.

resultsA total of 189 patients were included. The median patient age was 62.8 years and 54.0% were male. The most common CRE infections were nosocomial pneumonia (23.8%) and complicated urinary tract infection (23.8%) and 77 patients (40.7%) had CRE bacteremia. OXA-48 was the most prevalent gene (69.3%). While 100 patients (52.9%) had a clinical cure, 57 patients (30.2%) had died within 30 days and 23 patients (12.2%) relapsed. Univariate analysis to predict 30-day mortality revealed that the following variables are associated with mortality: older age, high Charlson comorbidity index, increased Pitt bacteremia score, nosocomial pneumonia, CRE bacteremia and diabetes mellitus. In multivariable analysis, CRE bacteremia remained as an independent predictor of 30 day all-cause mortality [AOR and 95% CI = 2.81(1.26-6.24), p = 0.01].

conclusionsThese data highlight the molecular epidemiology and outcomes of CRE infection in Saudi Arabia and will inform future studies to address preventive and management interventions.

Indexed as

BacteremiaEnterobacteriaceae InfectionsHealthcare-Associated PneumoniaAnti-Bacterial AgentsCarbapenemsEscherichia coliFemaleHumansMaleMiddle AgedMolecular EpidemiologyProspective StudiesSaudi ArabiaAnti-Bacterial AgentsCarbapenemsCarbapenem-resistant Enterobacterales (CRE)Multidrug resistant gram negative bacteriaOXA-48Saudi Arabia

Identifiers

PMID35698046
PMCPMC9190113

What OpenQuestion holds

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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.