Raymond, Mallory J

Objective To report a fatal case of Susac syndrome in a congenitally deaf patient with a cochlear implant and a history of migraines, emphasizing the diagnostic challenges in patients with preexisting conditions. Patient A 33-year-old male with congenital hearing loss, a cochlear implant, and chronic migraines who presented with mild subacute auditory disturbance and headaches that later progressed to severe encephalopathy. Intervention Explantation of a non–magnetic resonance imaging (MRI) compatible cochlear implant followed by MRI, fundoscopy, and the administration of immunosuppressive medications. Main Outcome Measures Diagnosis was confirmed by characteristic MRI appearance and the presence of a hemi-retinal artery occlusion. Results After weeks of immunosuppressive treatment, the patient died of a global cerebral ischemic event of unknown origin. Conclusions For patients with preexisting sensorineural hearing loss and cochlear implants, Susac syndrome poses a diagnostic challenge. Auditory disturbances in the absence of cochlear implant failure should prompt further evaluation for visual disturbances and encephalopathy. MRI and fundoscopy should be performed to detect other features of the disease.

AbstractObjectiveTo develop a convolutional neural network‐based computer vision model to recognize and track 2 mastoidectomy surgical instruments—the drill and the suction‐irrigator—from intraoperative video recordings of mastoidectomies.Study DesignTechnological development and model validation.SettingAcademic center.MethodsTen 1‐minute videos of mastoidectomies done for cochlear implantation by varying levels of resident surgeons were collected. For each video, containing 900 frames, an open‐access computer vision annotation tool was used to annotate the drill and suction‐irrigator class images with bounding boxes. A mastoidectomy instrument tracking module, which extracts the center coordinates of bounding boxes, was developed using a feature pyramid network and layered with DETECTRON, an open‐access faster—region‐based convolutional neural network. Eight videos were used to train the model, and 2 videos were used for testing. Outcome measures included Intersection over Union (IoU) ratio, accuracy, and average precision.ResultsFor an IoU of 0.5, the mean average precision for the drill was 99% and 86% for the suction‐irrigator. The model proved capable of generating maps of drill and suction‐irrigator stroke direction and distance for the entirety of each video.ConclusionsThis computer vision model can identify and track the drill and suction‐irrigator from videos of intraoperative mastoidectomies performed by residents with excellent precision. It can now be employed to retrospectively study objective mastoidectomy measures of expert and resident surgeons, such as drill and suction‐irrigator stroke concentration, economy of motion, speed, and coordination, setting the stage for characterization of objective expectations for safe and efficient mastoidectomies.

Objective To characterize the opioid prescribing patterns for and requirements of patients undergoing repair of spontaneous cerebrospinal fluid (sCSF) leaks of the lateral skull base. Study Design Retrospective chart review. Setting Tertiary referral center. Patients Adults with lateral skull base sCSF leaks who underwent repairs between September 1, 2014, and December 31, 2020. Main Outcome Measure Mean morphine milligram equivalents (MMEs) of opioids dispensed to inpatients and prescribed at discharge, additional pain control medications dispensed, and outpatient additional opioid requests were compared between groups. Results Of 78 patients included, 46 (59%) underwent repair via a transmastoid (TM), 6 (7.7%) via a middle cranial fossa (MCF), and 26 (33.3%) via a combined TM–MCF approach. Inpatients received a mean of 21.3, 31.4, and 37.6 MMEs per day during admission for the TM, MCF, and combined TM–MCF approaches, respectively (p = 0.019, ηp2 = 0.101). Upon discharge, nearly all patients (n = 74, 94.9%) received opioids; 27.3, 32.5, and 37.6 MMEs per day were prescribed after the TM, MCF, and TM–MCF approaches, respectively (p = 0.015, ηp2 = 0.093). Five (6.4%) patients requested additional outpatient pain medication, after which three were prescribed 36.7 MMEs per day. Patients with idiopathic intracranial hypertension required significantly more inpatient MMEs than those without (41.5 versus 25.2, p = 0.02, d = 0.689), as did patients with a history of headaches (39.6 versus 23.6, p = 0.042, d = 0.684). Conclusions Patients undergoing sCSF leak repair via the MCF or TM–MCF approaches are prescribed more opioids postoperatively than patients undergoing the TM approach. Patients with a history of headaches or idiopathic intracranial hypertension might require more opioids postoperatively.

Abstract Background In the 5 years that have passed since the publication of the 2018 International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis (ICAR‐Allergic Rhinitis 2018), the literature has expanded substantially. The ICAR‐Allergic Rhinitis 2023 update presents 144 individual topics on allergic rhinitis (AR), expanded by over 40 topics from the 2018 document. Originally presented topics from 2018 have also been reviewed and updated. The executive summary highlights key evidence‐based findings and recommendation from the full document. Methods ICAR‐Allergic Rhinitis 2023 employed established evidence‐based review with recommendation (EBRR) methodology to individually evaluate each topic. Stepwise iterative peer review and consensus was performed for each topic. The final document was then collated and includes the results of this work. Results ICAR‐Allergic Rhinitis 2023 includes 10 major content areas and 144 individual topics related to AR. For a substantial proportion of topics included, an aggregate grade of evidence is presented, which is determined by collating the levels of evidence for each available study identified in the literature. For topics in which a diagnostic or therapeutic intervention is considered, a recommendation summary is presented, which considers the aggregate grade of evidence, benefit, harm, and cost. Conclusion The ICAR‐Allergic Rhinitis 2023 update provides a comprehensive evaluation of AR and the currently available evidence. It is this evidence that contributes to our current knowledge base and recommendations for patient evaluation and treatment.