Optimizing Cefazolin Prophylaxis in Obstetrical Patients with Reported Beta-Lactam Allergy Undergoing Cesarean Delivery.

OBJECTIVES: Evaluate the impact of an allergy history-guided algorithm for optimizing perioperative cefazolin use in patients with reported beta-lactam allergy undergoing cesarean delivery. METHODS: The Allergy Clarification for Cefazolin Evidence-based Prescribing Tool (ACCEPT) was developed through consensus by allergists, anesthesiologists, and infectious diseases specialists, and implemented over a 2-month period (December 1, 2018, to January 31, 2019). A segmented regression on monthly cefazolin use was conducted during the baseline (January 1 to November 30, 2018) and intervention (February 1 to December 31, 2019) periods to evaluate the impact of ACCEPT on the monthly use of perioperative cefazolin in patients with reported beta-lactam allergy undergoing cesarean delivery. The frequency of perioperative allergic reactions and surgical site infections was collected during both periods. RESULTS: Of the 3128 eligible women who underwent a cesarean delivery, 282 (9%) reported a beta-lactam allergy. The most common beta-lactam allergens were penicillin (64.3%), amoxicillin (16.0%), and cefaclor (6.0%). The most frequently reported allergic reactions were rash (38.1%), hives (21.4%), and unknown (11.6%). Use of cefazolin increased from 52% (baseline) to 87% during the intervention period. Segmented regression analysis confirmed a statistically significant increase following implementation (incidence rate ratio 1.62, 95% CI 1.19-2.21, P = 0.002). There was 1 perioperative allergic reaction in the baseline period and 2 during the intervention period. Cefazolin use remained high (92%) 2 years after algorithm implementation. CONCLUSIONS: Implementation of a simple allergy history-guided algorithm in obstetrical patients with reported beta-lactam allergy resulted in a sustained increase in perioperative cefazolin prophylaxis.

Ontario COVID-19 assessment centre practices in patient counselling, education, and follow-up care: A provincial survey.

Background: In March 2020, COVID-19 assessment centres were launched across the province of Ontario to facilitate COVID-19 testing outside of emergency departments. We aimed to study the degree to which assessment centres provide education and follow-up care for patients with suspected COVID-19. Methods: We conducted an online survey of Ontario COVID-19 assessment centre directors between September 15 and October 15, 2020. The primary outcomes studied were the types of educational modalities employed and information conveyed, methods and frequency of test result communication, and any follow-up care that was offered. Survey respondents were also asked to provide descriptions of barriers to patient education and test communication. Results: A total of 56 directors (representing 73 assessment centres) completed the survey. The most frequent educational modalities employed were educational handouts (92%), direct in-person counselling (89%), and referral to website (72%). Seventy-one percent of respondents indicated patients with positive test results would be notified, and 61% of respondents indicated that follow-up care would be offered. The most frequently reported barriers to patient education were insufficient time and high volume of tests, while the most frequently reported barriers to communication of test results were difficulty accessing online health portals and high volume of tests. Conclusion: The ability of many assessment centres to provide patient education is limited by both individual patient and system-level factors. Assessment centres may benefit from standardization of educational materials, improved accessibility to test results for patients in marginalized groups, and virtual pathways to facilitate additional counselling and care for individuals who test positive.

Historique : En mars 2020, des centres d'évaluation de la COVID-19 ont été lancés dans la province de l'Ontario afin de favoriser le dépistage de la COVID-19 hors des services d'urgence. Les chercheurs visaient à étudier dans quelle mesure ces centres transmettent de l'information et des soins de suivi aux patients chez qui on présume une COVID-19. Méthodologie : Les chercheurs ont réalisé un sondage en ligne auprès des directeurs des centres d'évaluation de la COVID-19 de l'Ontario entre le 15 septembre et le 15 octobre 2020. Le type de modalités pédagogiques utilisé et d'information transmise, les modes et la fréquence de communication des résultats des tests et les soins de suivi offerts étaient les résultats cliniques primaires à l'étude. Les répondants au sondage ont également été invités à décrire les obstacles à la transmission d'information aux patients et à la communication des résultats. Résultats : Au total, 56 directeurs (représentant 73 centres d'évaluation) ont rempli le sondage. Les principales modalités pédagogiques étaient la remise de document d'information (92 %), des conseils individuels directs (89 %) et l'orientation vers un site Web (72 %). Ainsi, 71 % des répondants ont indiqué que les patients obtenant un résultat positif en étaient avisés, et 61 %, que des soins de suivi seraient offerts. Les principaux obstacles à la transmission d'information aux patients étaient le manque de temps et le volume élevé de tests, tandis que les principaux obstacles à la transmission des résultats étaient la difficulté d'accès aux portails santé en ligne et le volume élevé de tests. Conclusion : La capacité de nombreux centres d'évaluation à transmettre de l'information aux patients est limitée à la fois par des facteurs liés aux patients eux-mêmes et par des facteurs systémiques. Les centres d'évaluation pourraient tirer profit de la standardisation des documents pédagogiques, d'un meilleur accès aux résultats des tests pour les patients de groupes marginalisés et de trajectoires virtuelles pour favoriser la transmission de conseils et de soins supplémentaires aux personnes dont les résultats sont positifs.

Predicting Rotation in Fenestrated Endovascular Aneurysm Repair Using Finite Element Analysis.

Fenestrated endovascular aneurysm repair (FEVAR) is a minimally invasive method of abdominal aortic aneurysm (AAA) repair utilized in patients with complex vessel anatomies. Stent grafts (SG) used in this process contain fenestrations within the device that need to be aligned with the visceral arteries upon successful SG deployment. Proper alignment is crucial to maintain blood flow to these arteries and avoid surgical complications. During fenestrated SG deployment, rotation of the SG can occur during the unsheathing process. This leads to misalignment of the vessels, and the fenestrations and is associated with poor clinical outcomes. The aim of this study was to develop a computational model of the FEVAR process to predict SG rotation. Six patient-specific cases are presented and compared with surgical case data. Realistic material properties, frictional effects, deployment methods, and boundary conditions are included in the model. A mean simulation error of 2 deg (range 1-4 deg) was observed. This model was then used to conduct a parameter study of frictional properties to see if rotation could be minimized. This study showed that increasing or decreasing the coefficients of friction (COF) between the sheath and the vessel walls would decrease the amount of rotation observed. Our model accurately predicts the amount of SG rotation observed during FEVAR and can be used as a preoperative planning tool within the surgical workflow.

High-resolution imaging of the central nervous system: how novel imaging methods combined with navigation strategies will advance patient care.

This narrative review captures a subset of recent advances in imaging of the central nervous system. First, we focus on improvements in the spatial and temporal profile afforded by optical coherence tomography, fluorescence-guided surgery, and Coherent Anti-Stokes Raman Scattering Microscopy. Next, we highlight advances in the generation and uses of imaging-based atlases and discuss how this will be applied to specific clinical situations. To conclude, we discuss how these and other imaging tools will be combined with neuronavigation techniques to guide surgeons in the operating room. Collectively, this work aims to highlight emerging biomedical imaging strategies that hold potential to be a valuable tool for both clinicians and researchers in the years to come.

Evaluation of flow velocities after carotid artery stenting through split spectrum Doppler optical coherence tomography and computational fluid dynamics modeling.

Hemodynamics plays a critical role in the development of atherosclerosis, specifically in regions of curved vasculature such as bifurcations exhibiting irregular blood flow profiles. Carotid atherosclerotic disease can be intervened by stent implantation, but this may result in greater alterations to local blood flow and consequently further complications. This study demonstrates the use of a variant of Doppler optical coherence tomography (DOCT) known as split spectrum DOCT (ssDOCT) to evaluate hemodynamic patterns both before and after stent implantation in the bifurcation junction in the internal carotid artery (ICA). Computational fluid dynamics (CFD) models were constructed to simulate blood velocity profiles and compared to the findings achieved through ssDOCT images. Both methods demonstrated noticeable alterations in hemodynamic patterns following stent implantation, with features such as slow velocity regions at the neck of the bifurcation and recirculation zones at the stent struts. Strong correlation between CFD models and ssDOCT images demonstrate the potential of ssDOCT imaging in the optimization of stent implantation in the clinical setting.