Browsing by Author "Lee, Bonita E."
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Item Open Access Antimicrobial use among paediatric inpatients at hospital sites within the Canadian Nosocomial Infection Surveillance Program, 2017/2018(2023-04-18) Rudnick, Wallis; Conly, John; Thirion, Daniel J. G.; Choi, Kelly; Pelude, Linda; Cayen, Joelle; Bautista, John; Beique, Lizanne; Comeau, Jeannette L.; Dalton, Bruce; Delport, Johan; Dhami, Rita; Embree, Joanne; Émond, Yannick; Evans, Gerald; Frenette, Charles; Fryters, Susan; Happe, Jennifer; Katz, Kevin; Kibsey, Pamela; Langley, Joanne M.; Lee, Bonita E.; Lefebvre, Marie-Astrid; Leis, Jerome A.; McGeer, Allison; McKenna, Susan; Neville, Heather L.; Slayter, Kathryn; Suh, Kathryn N.; Tse-Chang, Alena; Weiss, Karl; Science, MichelleAbstract Background Antimicrobial resistance threatens the ability to successfully prevent and treat infections. While hospital benchmarks regarding antimicrobial use (AMU) have been well documented among adult populations, there is less information from among paediatric inpatients. This study presents benchmark rates of antimicrobial use (AMU) for paediatric inpatients in nine Canadian acute-care hospitals. Methods Acute-care hospitals participating in the Canadian Nosocomial Infection Surveillance Program submitted annual AMU data from paediatric inpatients from 2017 and 2018. All systemic antimicrobials were included. Data were available for neonatal intensive care units (NICUs), pediatric ICUs (PICUs), and non-ICU wards. Data were analyzed using days of therapy (DOT) per 1000 patient days (DOT/1000pd). Results Nine hospitals provided paediatric AMU data. Data from seven NICU and PICU wards were included. Overall AMU was 481 (95% CI 409–554) DOT/1000pd. There was high variability in AMU between hospitals. AMU was higher on PICU wards (784 DOT/1000pd) than on non-ICU (494 DOT/1000pd) or NICU wards (333 DOT/1000pd). On non-ICU wards, the antimicrobials with the highest use were cefazolin (66 DOT/1000pd), ceftriaxone (59 DOT/1000pd) and piperacillin-tazobactam (48 DOT/1000pd). On PICU wards, the antimicrobials with the highest use were ceftriaxone (115 DOT/1000pd), piperacillin-tazobactam (115 DOT/1000pd), and cefazolin (111 DOT/1000pd). On NICU wards, the antimicrobials with the highest use were ampicillin (102 DOT/1000pd), gentamicin/tobramycin (78 DOT/1000pd), and cefotaxime (38 DOT/1000pd). Conclusions This study represents the largest collection of antimicrobial use data among hospitalized paediatric inpatients in Canada to date. In 2017/2018, overall AMU was 481 DOT/1000pd. National surveillance of AMU among paediatric inpatients is necessary for establishing benchmarks and informing antimicrobial stewardship efforts.Item Open Access Determination of the relative economic impact of different molecular-based laboratory algorithms for respiratory viral pathogen detection, including Pandemic (H1N1), using a secure web based platform(BioMed Central, 2011-06-06) Lee, Bonita E.; Mukh, Shamir N.; May-Hadford, Jennifer; Plitt, Sabrina; Louie, Marie; Drews, Steven J.Item Open Access Diagnostic Interpretation Guidance for Pediatric Enteric Pathogens: A Modified Delphi Consensus Process(2018-09-27) Stang, Antonia S.; Trudeau, Melanie; Vanderkooi, Otto G.; Lee, Bonita E.; Chui, Linda; Pang, Xiao-Li; Allen, Vanessa; Burnham, Carey-Ann D.; Goldfarb, David M.; MacDonald, Judy; Parsons, Brendon; Petrich, Astrid; Pollari, Frank; Tarr, Phillip I.; Tipples, Graham; Zhuo, Ran; Freedman, Stephen B.Background. We sought to develop diagnostic test guidance definitions for pediatric enteric infections to facilitate the interpretation of positive test results in the era of multianalyte molecular diagnostic test platforms. Methods. We employed a systematic, two-phase, modified Delphi consensus process consisting of three web-based surveys and an expert panel face-to-face meeting. In phase 1, we surveyed an advisory panel of North American experts to select pathogens requiring diagnostic test guidance definition development. In phase 2, we convened a 14-member expert panel to develop, refine, and select the final definitions through two web-based questionnaires interspersed with a face-to-face meeting. Both questionnaires asked panelists to rate the degree to which they agreed that if the definition is met the pathogen is likely to be causative of clinical illness. Results. The advisory panel survey identified 19 pathogens requiring definitions. In the expert panel premeeting survey, 13 of the 19 definitions evaluated were rated as being highly likely (“agree” or “strongly agree”) to be responsible for acute gastroenteritis symptoms by ≥67% of respondent panel members. The definitions for the remaining six pathogens (Aeromonas, Clostridium difficile, Edwardsiella, nonenteric adenovirus, astrovirus, and Entamoeba histolytica) were indeterminate. After the expert panel meeting, only two of the modified definitions, C. difficile and E. histolytica/dispar, failed to achieve the a priori specified threshold of ≥67% agreement. Conclusions. We developed diagnostic test guidance definitions to assist healthcare providers for 17 enteric pathogens. We identified two pathogens that require further research and definition development.