Evidence map›Paper›PMID 37406050›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Risk Factors for Colonization With Multidrug-Resistant Bacteria in Urban and Rural Communities in Kenya: An Antimicrobial Resistance in Communities and Hospitals (ARCH) Study.

Mark A Caudell, Charchil Ayodo, Teresa Ita, Rachel M Smith, Ulzii-Orshikh Luvsansharav, Ashley R Styczynski, Brooke M Ramay, Samuel Kariuki, Guy H Palmer, Douglas R Call and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Using Colonization to Understand the Burden of Antimicrobial Resistance Across Low- and Middle-Income Countries.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    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

11 authors at 4 institutions in 3 countries.

Mark A CaudellPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Charchil AyodoWashington State University Global Health-Kenya, Nairobi, Kenya.
Teresa ItaWashington State University Global Health-Kenya, Nairobi, Kenya.
Rachel M SmithDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ulzii-Orshikh LuvsansharavDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ashley R StyczynskiDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Brooke M RamayPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Samuel KariukiKenya Medical Research Institute, Nairobi, Kenya.
Guy H PalmerPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Douglas R CallPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.ORCID 0000-0001-6791-055X
Sylvia OmuloPaul G. Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Washington State Department of Health · USCenters for Disease Control and Prevention · USWashington State University · USKenya Medical Research Institute · KE

Funding

CGH CDC HHS U01 GH002143
6 · The paper itself

Abstract

backgroundColonization with antimicrobial-resistant bacteria increases the risk of drug-resistant infections. We identified risk factors potentially associated with human colonization with extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) in low-income urban and rural communities in Kenya.

methodsFecal specimens, demographic and socioeconomic data were collected cross-sectionally from clustered random samples of respondents in urban (Kibera, Nairobi County) and rural (Asembo, Siaya County) communities between January 2019 and March 2020. Presumptive ESCrE isolates were confirmed and tested for antibiotic susceptibility using the VITEK2 instrument. We used a path analytic model to identify potential risk factors for colonization with ESCrE. Only 1 participant was included per household to minimize household cluster effects.

resultsStool samples from 1148 adults (aged ≥18 years) and 268 children (aged <5 years) were analyzed. The likelihood of colonization increased by 12% with increasing visits to hospitals and clinics. Furthermore, individuals who kept poultry were 57% more likely to be colonized with ESCrE than those who did not. Respondents' sex, age, use of improved toilet facilities, and residence in a rural or urban community were associated with healthcare contact patterns and/or poultry keeping and may indirectly affect ESCrE colonization. Prior antibiotic use was not significantly associated with ESCrE colonization in our analysis.

conclusionsThe risk factors associated with ESCrE colonization in communities include healthcare- and community-related factors, indicating that efforts to control antimicrobial resistance in community settings must include community- and hospital-level interventions.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsAdolescentAdultChild, PreschoolDrug Resistance, BacterialFemaleHospitalsHumansKenyaMaleRisk FactorsRural PopulationAnti-Bacterial AgentsAnti-Infective Agentsantimicrobial resistancecommunitiesKenyapublic health

Identifiers

PMID37406050
PMCPMC10321691
OpenAlexW4383198306

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.