Literature DB >> 28893132

Prediction of infection caused by extended-spectrum beta-lactamase-producing Enterobacteriaceae: development of a clinical decision-making nomogram.

Ana García-Tello1, Helena Gimbernat1, Cristina Redondo1, Elisa Meilán1, David M Arana2, Juana Cacho2, Juan F Dorado3, Javier C Angulo1,4.   

Abstract

OBJECTIVE: This study aimed to assess the population at risk of infection by extended-spectrum beta-lactamase (ESBL)-producing organisms, using clinical criteria.
MATERIALS AND METHODS: All urine cultures positive for Enterobacteriaceae in a Spanish hospital department from January 2010 to 2014 were reviewed. All isolates with ESBL-positive strains were collected, and isolates received during the first week of each month with ESBL-negative strains from symptomatic patients hospitalized or admitted to the emergency room. Multivariate analysis of the factors involved was undertaken and a nomogram developed to predict the probability of infection by ESBL-producing microorganisms.
RESULTS: The study included 1524 patients with urinary tract infection (UTI): 416 ESBL-positive and 1108 ESBL-negative. In univariate analysis, risk factors were: male gender (p = 0.036), age (p < 0.0001), nursing home (p < 0.0001), previous antimicrobial therapy (p < 0.0001) or hospitalization (p < 0.0001), diabetes (p < 0.0001), chronic renal insufficiency (p < 0.0001), severe underlying disease (p < 0.0001), neoplasia (p = 0.0005), urological (p < 0.0001) and non-urological invasive procedure (p = 0.0003), recurrent UTI (p < 0.0001), urological (p < 0.0001) or abdominal surgery (p < 0.0001) and permanent urethral catheter (p < 0.0001). In multivariate analysis, the data set was split into a development cohort of 1067 patients and a validation cohort of 457 cases. A nomogram was developed to predict the probability of infection by ESBL-producing bacteria, which included seven variables: age (p < 0.0001), gender (p = 0.004), nursing home (p < 0.0001), previous antimicrobial therapy (p = 0.04) or hospitalization (p < 0.0001), recurrent UTI (p < 0.0001) and non-urological invasive procedure (p = 0.005). The discriminative accuracy was 0.79 (95% confidence interval 0.77-0.83).
CONCLUSIONS: A nomogram was developed that predicts the risk of infection by ESBL-producing Enterobacteriaceae with reasonable accuracy. It could improve clinical decision making and enable more efficient empirical treatment.

Entities:  

Keywords:  Antibiotic resistance; ESBL-producing pathogens; nomogram; urinary tract infections

Mesh:

Substances:

Year:  2017        PMID: 28893132     DOI: 10.1080/21681805.2017.1373698

Source DB:  PubMed          Journal:  Scand J Urol        ISSN: 2168-1805            Impact factor:   1.612


  5 in total

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Authors:  Olga Masot; Anna Cox; Freda Mold; Märtha Sund-Levander; Pia Tingström; Geertien Christelle Boersema; Teresa Botigué; Julie Daltrey; Karen Hughes; Christopher B Mayhorn; Amy Montgomery; Judy Mullan; Nicola Carey
Journal:  BMC Geriatr       Date:  2022-07-01       Impact factor: 4.070

2.  A Clinical Prediction Tool for Extended-Spectrum Cephalosporin Resistance in Community-Onset Enterobacterales Urinary Tract Infection.

Authors:  Erica J Weinstein; Jennifer H Han; Ebbing Lautenbach; Irving Nachamkin; Charles Garrigan; Warren B Bilker; Lois Dankwa; Mary Wheeler; Pam Tolomeo; Judith A Anesi
Journal:  Open Forum Infect Dis       Date:  2019-03-14       Impact factor: 3.835

3.  Independent validation of a predictive nomogram for risk of reinfection in women with recurrent non-complicated urinary tract infections.

Authors:  Marcelo Gonzales Favoreto; Emerson Pereira Gregorio; Marcio Augusto Averbeck; Silvio Henrique Maia de Almeida
Journal:  Ther Adv Urol       Date:  2020-05-06

4.  A clinical prediction tool for extended-spectrum β-lactamase-producing Enterobacteriaceae urinary tract infection.

Authors:  Hui Liu; Suishan Qiu; Minghao Chen; Jun Lyu; Guangchao Yu; Lianfang Xue
Journal:  BMC Infect Dis       Date:  2022-01-13       Impact factor: 3.090

5.  Type 2 diabetes mellitus and antibiotic-resistant infections: a systematic review and meta-analysis.

Authors:  Rodrigo M Carrillo-Larco; Cecilia Anza-Ramírez; Giancarlo Saal-Zapata; David Villarreal-Zegarra; Jessica Hanae Zafra-Tanaka; Cesar Ugarte-Gil; Antonio Bernabé-Ortiz
Journal:  J Epidemiol Community Health       Date:  2021-07-29       Impact factor: 3.710

  5 in total

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