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Impact of a hospital-wide computerised approach to optimise the quality of antimicrobial prescriptions in patients with severe obesity: a quasi-experimental study.
Sirard, Stéphanie; Nault, Vincent; Langlois, Marie-France; Perron, Julie; Valiquette, Louis.
Afiliação
  • Sirard S; Department of Microbiology and Infectious Diseases, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Québec, J1H 5N4, Canada.
  • Nault V; Medical Division, Lumed Inc., Sherbrooke, Québec, J1H 5C7, Canada.
  • Langlois MF; Department of Medicine, Division of Endocrinology, Université de Sherbrooke, Québec, J1H 5N4, Canada.
  • Perron J; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Québec, J1H 5N4, Canada.
  • Valiquette L; Medical Division, Lumed Inc., Sherbrooke, Québec, J1H 5C7, Canada.
BMC Infect Dis ; 21(1): 972, 2021 Sep 18.
Article em En | MEDLINE | ID: mdl-34537005
ABSTRACT

BACKGROUND:

Rates of adherence to available recommendations for dose adjustments in patients with severe obesity are generally low. Hence, antimicrobials are often underdosed in these patients. Antimicrobial stewardship programmes can improve the use of antimicrobials in hospitalised patients. The aim of the study was to analyse the impact of an antimicrobial stewardship programme based on a computerised clinical decision support system for optimal dosing and antimicrobial use in inpatients with severe obesity.

METHODS:

This quasi-experimental retrospective study using interrupted time series was conducted in an academic centre in Canada from August 2008 to June 2018. The Antimicrobial Prescription Surveillance System was implemented in August 2010 (intervention 1) and specific rules targeting patients with class III obesity (body mass index ≥ 40 kg/m2) were added in June 2014 (intervention 2). Data were collected from all hospitalised adults receiving antimicrobials which required dose adjustment for severe obesity and were stratified by body mass index. Segmented regression analysis of interrupted time series was used to evaluate the impact of the Antimicrobial Prescription Surveillance System on the proportion of inappropriate days of therapy according to posology and on antimicrobial consumption.

RESULTS:

Overall, 65 205 antimicrobial prescriptions (68% non-obese, 25% class I-II obesity, and 7% class III obesity) were analysed. In patients with class III obesity, the intervention was associated with a decrease in the proportion of inappropriate days of therapy (trend after the first intervention, -0.8% per 2-month period [95% CI -1.1 to -0.5], p < 0.001; intercept, 11.3% [95% CI 8.2 to 14.5], p < 0.001), which led to a reduction of 35% over an eight-year period (from pre-intervention level of 19.1%). Intervention 1 resulted in a downward trend in antimicrobial consumption, followed by an increasing trend after intervention 2. In these patients, the most frequent interventions made by pharmacists targeted posology (46%).

CONCLUSIONS:

Antimicrobial Prescription Surveillance System had a positive impact on dosing optimisation and antimicrobial consumption in patients with class III obesity. Improving antimicrobial prescriptions in these patients is important because suboptimal dosing could be associated with unfavourable outcomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Anti-Infecciosos Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Anti-Infecciosos Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article