Medicine and Health Sciences Commons^™

Postoperative Outcomes In Oesophagectomy With Trainee Involvement., Oesophago-Gastric Anastomosis Study Group (Ogaa) On Behalf Of The West Midlands Research Collaborative

Department of Surgery Faculty Papers

BACKGROUND: The complexity of oesophageal surgery and the significant risk of morbidity necessitates that oesophagectomy is predominantly performed by a consultant surgeon, or a senior trainee under their supervision. The aim of this study was to determine the impact of trainee involvement in oesophagectomy on postoperative outcomes in an international multicentre setting.

METHODS: Data from the multicentre Oesophago-Gastric Anastomosis Study Group (OGAA) cohort study were analysed, which comprised prospectively collected data from patients undergoing oesophagectomy for oesophageal cancer between April 2018 and December 2018. Procedures were grouped by the level of trainee involvement, and univariable and multivariable analyses were performed …

Discrepancies In Stroke Distribution And Dataset Origin In Machine Learning For Stroke., Lohit Velagapudi, Nikolaos Mouchtouris, Michael P Baldassari, David Nauheim, Omaditya Khanna, Fadi Al Saiegh, Nabeel Herial, M Reid Gooch, Stavropoula Tjoumakaris, Robert H Rosenwasser, Pascal Jabbour

Department of Neurosurgery Faculty Papers

BACKGROUND: Machine learning algorithms depend on accurate and representative datasets for training in order to become valuable clinical tools that are widely generalizable to a varied population. We aim to conduct a review of machine learning uses in stroke literature to assess the geographic distribution of datasets and patient cohorts used to train these models and compare them to stroke distribution to evaluate for disparities.

AIMS: 582 studies were identified on initial searching of the PubMed database. Of these studies, 106 full texts were assessed after title and abstract screening which resulted in 489 papers excluded. Of these 106 studies, …

A Machine Learning Approach To First Pass Reperfusion In Mechanical Thrombectomy: Prediction And Feature Analysis., Lohit Velagapudi, Nikolaos Mouchtouris, Richard F Schmidt, David Vuong, Omaditya Khanna, Ahmad Sweid, Bryan Sadler, Fadi Al-Saiegh, M Reid Gooch, Pascal Jabbour, Robert H Rosenwasser, Stavropoula Tjoumakaris

Department of Neurosurgery Faculty Papers

INTRODUCTION: Novel machine learning (ML) methods are being investigated across medicine for their predictive capabilities while boasting increased adaptability and generalizability. In our study, we compare logistic regression with machine learning for feature importance analysis and prediction in first-pass reperfusion.

METHODS: We retrospectively identified cases of ischemic stroke treated with mechanical thrombectomy (MT) at our institution from 2012-2018. Significant variables used in predictive modeling were demographic characteristics, medical history, admission NIHSS, and stroke characteristics. Outcome was binarized TICI on first pass (0-2a vs 2b-3). Shapley feature importance plots were used to identify variables that strongly affected outcomes.

RESULTS: Accuracy for …

The Development Of Lived Experience-Centered Word Clouds To Support Research Uncertainty Gathering In Degenerative Cervical Myelopathy: Results From An Engagement Process And Protocol For Their Evaluation, Via A Nested Randomized Controlled Trial, Benjamin M Davies, Oliver D Mowforth, Danyal Z Khan, Xiaoyu Yang, Sybil R L Stacpoole, Olesja Hazenbiller, Toto Gronlund, Lindsay Tetreault, Sukhvinder Kalsi-Ryan, Michelle L Starkey, Iwan Sadler, Ellen Sarewitz, Delphine Houlton, Julia Carter, Evangeline Howard, Vafa Rahimi-Movaghar, James D Guest, Bizhan Aarabi, Brian K Kwon, Shekar N Kurpad, James Harrop, Jefferson R Wilson, Robert Grossman, Emma K Smith, Angus G K Mcnair, Michael G Fehlings, Mark R N Kotter

Department of Neurosurgery Faculty Papers

OBJECTIVES: AO Spine REsearch objectives and Common Data Elements for Degenerative Cervical Myelopathy [RECODE-DCM] is a multi-stakeholder consensus process aiming to promote research efficiency in DCM. It aims to establish the top 10 research uncertainties, through a James Lind Alliance Priority Setting Partnership [PSP]. Through a consensus process, research questions are generated and ranked. The inclusion of people with cervical myelopathy [PwCM] is central to the process. We hypothesized that presenting PwCM experience through word cloud generation would stimulate other key stakeholders to generate research questions better aligned with PwCM needs. This protocol outlines our plans to evaluate this as …

Intradural Extramedullary Capillary Hemangioma Of The Cauda Equina: Case Report Of A Rare Spinal Tumor., Liam P Hughes, Garrett Largoza, Thiago S Montenegro, Caio M Matias, Anthony Stefanelli, Mark T Curtis, James S Harrop

Department of Neurosurgery Faculty Papers

INTRODUCTION: Intradural extramedullary capillary hemangiomas of the cauda equina are exceedingly rare, with only 20 previous cases reported. In the adult population, these tumors are rare and can arise in the central and peripheral nervous systems from the dura or spinal nerve roots. Intradural capillary hemangiomas of the cauda equina can yield symptoms such as lower extremity weakness, pain, and bladder and bowel dysfunction. The clinical symptomology and surgical management of this rare spinal lesion are reviewed in this case report.

CASE PRESENTATION: A 50-year-old male presented with progressive bilateral lower extremity weakness for 2 years, with recent bladder and …

Neurological Manifestations As The Predictors Of Severity And Mortality In Hospitalized Individuals With Covid-19: A Multicenter Prospective Clinical Study, Man Amanat, Nima Rezaei, Mehrdad Roozbeh, Maziar Shojaei, Abbas Tafakhori, Anahita Zoghi, Ilad Alavi Darazam, Mona Salehi, Ehsan Karimialavijeh, Behnam Safarpour Lima, Amir Garakani, Alex R. Vaccaro, Mahtab Ramezani

Department of Orthopaedic Surgery Faculty Papers

BACKGROUNDS: The reports of neurological symptoms are increasing in cases with coronavirus disease 2019 (COVID-19). This multi-center prospective study was conducted to determine the incidence of neurological manifestations in hospitalized cases with COVID-19 and assess these symptoms as the predictors of severity and death.

METHODS: Hospitalized males and females with COVID-19 who aged over 18 years were included in the study. They were examined by two neurologists at the time of admission. All survived cases were followed for 8 weeks after discharge and 16 weeks if their symptoms had no improvements.

RESULTS: We included 873 participants. Of eligible cases, 122 …