Journal article

Risk factors for household colonization by extended-spectrum cephalosporin resistant enterobacterales (ESCrE) in Botswana


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Author list: Sukaina Shivji1
, Naledi Mannathoko10, Mosepele Mosepele4
, Robert Gross1,2,3*, Leigh Cressman2
, Anne JaskowiakBarr2
, Warren B. Bilker3
, Kevin Alby5
, Laurel Glaser6
, Melissa Richard-Greenblatt7,8, Laura Cowden2
, Alexa Patel2
,
Kgotlaetsile Sewawa9
, Dimpho Otukile9
, Giacomo Maria. Paganotti1,9,10, Margaret Mokomane12, Evan Snitkin11 and
Ebbing Lautenbach1,

Publication year: 2025

Journal: Antimicrobial Resistance & Infection Control

Volume number: 14

Issue number: 58

eISSN: 2047-2994



Background The epidemiology of community colonization with extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) in low- and middle-income countries (LMICs) is largely uncharacterized. In the community, the household is of particular importance. Identifying risk factors for household ESCrE colonization is critical to inform antibiotic resistance reduction strategies. Methods Participants were enrolled at 6 clinics in Botswana. All participants had rectal swabs collected for selective plating and confirmation of ESCrE. Data were collected on demographics, comorbidities, antibiotic use, healthcare exposures, travel, and farm/animal contact. Households were considered exposed if any member had the exposure of interest. Households with ESCrE colonization (cases) were compared to non-colonized households (controls) to identify risk factors for household ESCrE colonization. Results From 1/1/20−9/4/20, 327 households were enrolled. The median (IQR) number of people enrolled per household was 3 (2–4) ranging from 2 to 10. The median (IQR) age of subjects was 18 years (5–34) and 304 (93%) households included at least one child. Of 327 households, 176 (54%) had at least one household member colonized with ESCrE. Independent risk factors [adj OR (95%CI)] for household colonization were: (1) horse/donkey exposure [2.32 (1.05, 5.10)]; (2) yogurt consumption [1.73 (1.04, 2.88)]; (3) region [2.83 (1.48,5.43)]; and (4) enrollment during preCOVID lockdown [2.90 (1.66, 5.05)]


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Last updated on 2025-05-12 at 10:53