Megan Howarth's research while affiliated with The University of Calgary and other places

Background Pancreatitis following endoscopic retrograde cholangiopancreatography (ERCP) can lead to significant morbidity and mortality. We aimed to develop an accurate post‐ERCP pancreatitis risk prediction model using easily obtainable variables. Methods Using prospective multi‐center ERCP data, we performed logistic regression using stepwise selection on several patient‐, procedure‐, and endoscopist‐related factors that were determined a priori. The final model was based on a combination of the Bayesian information criterion and Akaike's information criterion performance, balancing the inclusion of clinically relevant variables and model parsimony. All available data were used for model development, with subsequent internal validation performed on bootstrapped data using 10‐fold cross‐validation. Results Data from 3021 ERCPs were used to inform models. There were 151 cases of post‐ERCP pancreatitis (5.0% incidence). Variables included in the final model included female sex, pancreatic duct cannulation, native papilla status, pre‐cut sphincterotomy, increasing cannulation time, presence of biliary stricture, patient age, and placement of a pancreatic duct stent. The final model was discriminating, with a receiver operating characteristic curve statistic of 0.79, and well‐calibrated, with a predicted risk‐to‐observed risk ratio of 1.003. Conclusions We successfully developed and internally validated a promising post‐ERCP pancreatitis clinical prediction model using easily obtainable variables that are known at baseline or observed during the ERCP procedure. The model achieved an area under the curve of 0.79. External validation is planned as additional data becomes available.

Background: Despite post-ERCP pancreatitis (PEP) being a major focus of outcomes research in endoscopic retrograde cholangiopancreatography (ERCP), little is known regarding the frequency with which asymptomatic biochemical and/or radiologic pancreatic alterations occur in patients following ERCP. Methods: Adult inpatients undergoing ERCP were identified from a prospective ERCP registry. Patients with any abdominal pain, confirmed PEP, or pancreatitis or abnormal pancreatic enzymes preceding ERCP were excluded. Primary outcomes were asymptomatic lipase elevation on bloodwork within 24 h of ERCP or asymptomatic cross-sectional imaging findings consistent with acute pancreatitis in the absence of clinical PEP within 14 days. Multinomial logistic regression and multiple logistic regression were used to examine associations between exposures and lipase levels and between PEP or imaging findings, respectively. Results: In total, 646 and 187 patients were analyzed as part of the biochemical and radiologic cohorts, respectively. A total of 26.0% of patients had asymptomatic elevations in lipase above the upper limit of normal (ULN) within 24 h, and 9.4% had elevations >3× ULN. A total of 20.9% of patients had incidental findings of enlargement, inflammation/edema/fat stranding, peri-pancreatic fluid collections, and/or necrosis on cross-sectional imaging within 14 days. Pancreatic contrast injection was associated with higher odds of asymptomatic lipasemia (adjusted odds ratio, AOR, 7.22; 95% confidence intervals, CI, 1.13 to 46.02), as was the use of the double-wire technique (AOR 15.74; 95% 1.15 to 214.74) and placement of a common bile duct stent (AOR 4.19; 95% CI 1.37 to 12.77). Over 10 cannulation attempts were associated with the presence of one or more radiologic finding(s) (AOR 33.95; 95% CI 1.64, to 704.13). Conclusions: Significant rates of incidental biochemical and/or radiologic pancreatic abnormalities are present following ERCP. Clinicians should be aware of our findings to minimize misclassification and better direct healthcare utilization.

Importance Infection transmission following endoscopic retrograde cholangiopancreatography (ERCP) can occur due to persistent contamination of duodenoscopes despite high-level disinfection to completely eliminate microorganisms on the instrument. Objective To determine (1) contamination rates after high-level disinfection and (2) technical performance of duodenoscopes with disposable elevator caps compared with those with standard designs. Design, Setting, and Participants In this parallel-arm multicenter randomized clinical trial at 2 tertiary ERCP centers in Canada, all patients 18 years and older and undergoing ERCP for any indication were eligible. Intervention The intervention was use of duodenoscopes with disposable elevator caps compared with duodenoscopes with a standard design. Main Outcomes and Measures Coprimary outcomes were persistent microbial contamination of the duodenoscope elevator or channel, defined as growth of at least 10 colony-forming units of any organism or any growth of gram-negative bacteria following high-level disinfection (superiority outcome), and technical success of ERCP according to a priori criteria (noninferiority outcome with an a priori noninferiority margin of 7%), assessed by blinded reviewers. Results From December 2019 to February 2022, 518 patients were enrolled (259 disposable elevator cap duodenoscopes, 259 standard duodenoscopes). Patients had a mean (SD) age of 60.7 (17.0) years and 258 (49.8%) were female. No significant differences were observed between study groups, including in ERCP difficulty. Persistent microbial contamination was detected in 11.2% (24 of 214) of standard duodenoscopes and 3.8% (8 of 208) of disposable elevator cap duodenoscopes ( P = .004), corresponding to a relative risk of 0.34 (95% CI, 0.16-0.75) and number needed to treat of 13.6 (95% CI, 8.1-42.7) to avoid persistent contamination. Technical success using the disposable cap scope was noninferior to that of the standard scope (94.6% vs 90.7%, P = .13). There were no differences between study groups in adverse events and other secondary outcomes. Conclusions and Relevance In this randomized clinical trial, disposable elevator cap duodenoscopes exhibited reduced contamination following high-level disinfection compared with standard scope designs, without affecting the technical performance and safety of ERCP. Trial Registration ClinicalTrials.gov Identifier: NCT04040504

Background Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical record (EMR) could improve AKI care and outcomes. While clinical decision support tools have the potential to enhance recognition and management of AKI, there is limited description in the literature of how these tools were developed and whether they meet end-user expectations. Methods We developed and evaluated the content, acceptability, and usability of electronic clinical decision support tools for AKI care. Multi-component tools were developed within a hospital EMR (Sunrise Clinical Manager™, Allscripts Healthcare Solutions Inc.) currently deployed in Calgary, Alberta, and included: AKI stage alerts, AKI adverse medication warnings, AKI clinical summary dashboard, and an AKI order set. The clinical decision support was developed for use by multiple healthcare providers at the time and point of care on general medical and surgical units. Functional and usability testing for the alerts and clinical summary dashboard was conducted via in-person evaluation sessions, interviews, and surveys of care providers. Formal user acceptance testing with clinical end-users, including physicians and nursing staff, was conducted to evaluate the AKI order set. Results Considerations for appropriate deployment of both non-disruptive and interruptive functions was important to gain acceptability by clinicians. Functional testing and usability surveys for the alerts and clinical summary dashboard indicated that the tools were operating as desired and 74% (17/23) of surveyed healthcare providers reported that these tools were easy to use and could be learned quickly. Over three-quarters of providers (18/23) reported that they would utilize the tools in their practice. Three-quarters of the participants (13/17) in user acceptance testing agreed that recommendations within the order set were useful. Overall, 88% (15/17) believed that the order set would improve the care and management of AKI patients. Conclusions Development and testing of EMR-based decision support tools for AKI with clinicians led to high acceptance by clinical end-users. Subsequent implementation within clinical environments will require end-user education and engagement in system-level initiatives to use the tools to improve care.