Predictors of rectal carriage of carbapenemase-producing Gram-negative bacteria in general wards: A case–control study

• Transfer from another hospital and ICU stay within six months predicted CPB carriage. • Length of hospitalization and antibiotic use also predicted CPB carriage. • 36% of rectal swabs came from patients without ICU or inter-hospital transfer. • 16.8% had no hospitalization in six months, lacking conventional risk factors. • CPB carriage must be considered in general wards of tertiary care hospitals. Rectal carriage of carbapenemase-producing Gram-negative bacteria (CP-GNB-RC) increases the risk of invasive infections and horizontal transmission. This study aimed to identify predictors of CP-GNB-RC in hospitalized patients. A case–control study was conducted in a 300-bed hospital in Santa Fe, Argentina, between 2022 and 2023. Cases and controls were randomly selected and included in a 1:2 ratio. A multivariate binary logistic regression model was built using variables significant in univariate analysis ( p < 0.05). Among 258 patients, 34.5% yielded at least one CP-GNB. Most isolates were Klebsiella spp. (79.0%) and 56.0% produced KPC. In the multivariate analysis, intensive care admission in the past 6 months (OR 3.61), patient transfer from another hospital (OR 2.89), antibiotic exposure (OR 2.34), and length of hospital stay (OR 1.05) were the only independent predictors of CP-GNB-RC. These findings may inform infection control strategies and antimicrobial stewardship interventions in our region. La colonización rectal por bacterias Gram-negativas productoras de carbapenemasas (CR-BGN-PC) aumenta el riesgo de infecciones invasivas. Se realizó un estudio de casos y controles en un hospital de Santa Fe (Argentina) entre 2022 y 2023 para identificar predictores de CR-BGN-PC. Se seleccionaron casos y controles de forma aleatoria en proporción 1:2. Se construyó un modelo de regresión logística binaria utilizando las variables con p < 0,05 en el análisis univariado. El 34,5% del total de pacientes evaluados (n = 258) presentó al menos una BGN-PC. Klebsiella spp. predominó entre los aislamientos (79,0%) y el 56,0% produjo KPC. En el análisis multivariado, los predictores de CR-BGN-PC fueron la estadía en cuidados críticos (menor de 6 meses; OR 3,61), la derivación desde otro hospital (OR 2,89), la exposición a antibióticos (OR 2,34) y los días de hospitalización (OR 1,05). Esta información podría orientar las estrategias de control de infecciones y de optimización del uso de antimicrobianos en nuestra región.

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Journal
Revista Argentina de Microbiología
Published
2026-03-28
DOI
https://doi.org/10.1016/j.ram.2026.100717
Primary Topic
Antibiotic Resistance in Bacteria
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article
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article

Predictors of rectal carriage of carbapenemase-producing Gram-negative bacteria in general wards: A case–control study

Maximiliano Gabriel Castro, María José Sadonio, Federico Rafael Galluccio, Macarena Vicino et al.
Revista Argentina de Microbiología
Antibiotic Resistance in Bacteria
article

Predictors of rectal carriage of carbapenemase-producing Gram-negative bacteria in general wards: A case–control study

Maximiliano Gabriel Castro, María José Sadonio, Federico Rafael Galluccio, Macarena Vicino, Sonia Gómez, Elsa Rottoli, Fernanda Argarañá, Manuel Protto, Ana Paula Amato, Joaquín Coduri Anthonioz Blanc, Héctor Mario Musacchio
article en

Abstract

• Transfer from another hospital and ICU stay within six months predicted CPB carriage. • Length of hospitalization and antibiotic use also predicted CPB carriage. • 36% of rectal swabs came from patients without ICU or inter-hospital transfer. • 16.8% had no hospitalization in six months, lacking conventional risk factors. • CPB carriage must be considered in general wards of tertiary care hospitals. Rectal carriage of carbapenemase-producing Gram-negative bacteria (CP-GNB-RC) increases the risk of invasive infections and horizontal transmission. This study aimed to identify predictors of CP-GNB-RC in hospitalized patients. A case–control study was conducted in a 300-bed hospital in Santa Fe, Argentina, between 2022 and 2023. Cases and controls were randomly selected and included in a 1:2 ratio. A multivariate binary logistic regression model was built using variables significant in univariate analysis ( p < 0.05). Among 258 patients, 34.5% yielded at least one CP-GNB. Most isolates were Klebsiella spp. (79.0%) and 56.0% produced KPC. In the multivariate analysis, intensive care admission in the past 6 months (OR 3.61), patient transfer from another hospital (OR 2.89), antibiotic exposure (OR 2.34), and length of hospital stay (OR 1.05) were the only independent predictors of CP-GNB-RC. These findings may inform infection control strategies and antimicrobial stewardship interventions in our region. La colonización rectal por bacterias Gram-negativas productoras de carbapenemasas (CR-BGN-PC) aumenta el riesgo de infecciones invasivas. Se realizó un estudio de casos y controles en un hospital de Santa Fe (Argentina) entre 2022 y 2023 para identificar predictores de CR-BGN-PC. Se seleccionaron casos y controles de forma aleatoria en proporción 1:2. Se construyó un modelo de regresión logística binaria utilizando las variables con p < 0,05 en el análisis univariado. El 34,5% del total de pacientes evaluados (n = 258) presentó al menos una BGN-PC. Klebsiella spp. predominó entre los aislamientos (79,0%) y el 56,0% produjo KPC. En el análisis multivariado, los predictores de CR-BGN-PC fueron la estadía en cuidados críticos (menor de 6 meses; OR 3,61), la derivación desde otro hospital (OR 2,89), la exposición a antibióticos (OR 2,34) y los días de hospitalización (OR 1,05). Esta información podría orientar las estrategias de control de infecciones y de optimización del uso de antimicrobianos en nuestra región.

Revista Argentina de MicrobiologíaVol. 58(3)
Universidad Nacional del Litoral (AR), Centro Científico Tecnológico - Santa Fe (AR), Administración Nacional de Laboratorios e Institutos de Salud (AR)
Good health and well-being
Openalex Percentile: Top 4%
Antibiotic Resistance in Bacteria
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