Publications by authors named "Kevin Sexton"

Introduction: Clinicians are the conduits of high-quality care delivery. Clinicians have driven advancements in pharmacotherapeutics, devices, and related interventions and improved morbidity and mortality in patients with congestive heart failure over the past decade. Yet, the management of congestive heart failure has become extraordinarily complex and has fueled recommendations from the American Heart Association and the American College of Cardiology to optimize the composition of the care team to reduce the health, economic, and the health system burden of high lengths of stay and hospital charges.

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Background: It is reported that racial differences exist among patients with multimorbidity. However, there are no studies that have investigated racial disparities within multimorbidity-related hospitalization encounters among patients with multimorbidity in rural states such as Arkansas.

Methods: Binomial logistic regression identified associations between race and hospitalization utilization.

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Introduction: Intensive care unit (ICU) readmissions are associated with increased morbidity and mortality rates, longer hospitalization, and increased health-care expenditures. This study sought to present a large cohort of trauma patients readmitted to the ICU, characterizing risk factors and providing quality improvement strategies to limit ICU readmission.

Methods: A retrospective cohort analysis was conducted on adult trauma patients admitted to the ICU at a single level I trauma center from 2014 to 2021.

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Article Synopsis
  • The study analyzed readmission rates for patients who experienced a traumatic brain injury (TBI) using data from the Nationwide Readmissions Database.
  • The readmission rate was found to be 28.7%, with major causes including subsequent injuries, circulatory problems, and nervous system issues.
  • Certain risk factors for higher readmission included being male, older age, multiple comorbidities, and being discharged to a skilled care facility.
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Background: Intensive care unit (ICU) organization is a critical factor in optimizing patient outcomes. ICU organization can be divided into "OPEN" (O) and "CLOSED" (C) models, where the specialist or intensivist, respectively, assumes the role of primary physician. Recent studies support improved outcomes in closed ICUs, however, most of the available data is centered on ICUs generally or on subspecialty surgical patients in the setting of a subspecialized surgical intensive care unit (SICU).

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Arkansas has a high cancer burden, and a pressing need exists for more medical students to pursue oncology as a career. The Partnership in Cancer Research (PCAR) program provides a summer research experience at the University of Arkansas for Medical Sciences for 12 medical students who have completed their first year of medical training. A majority of participants spend time pursuing cancer research in basic science, clinical, or community-based research.

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Background: Clinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are used to predict patient deterioration. A multitude of patient-level physiological decompensation data has been made available through the widespread integration of early warning scoring systems within EHRs across national and international health care organizations.

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The care delivery team (CDT) is critical to providing care access and equity to patients who are disproportionately impacted by congestive heart failure (CHF). However, the specific clinical roles that are associated with care outcomes are unknown. The objective of this study was to examine the extent to which specific clinical roles within CDTs were associated with care outcomes in African Americans (AA) with CHF.

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Introduction: Venous thromboembolism (VTE) is a substantial cause of morbidity and mortality in trauma patients. VTE prophylaxis (VTEP) initiation is often delayed in certain patients due to the perceived risk of bleeding complications. Our VTEP guideline was changed from fixed-dosing to a weight-based dosing strategy using enoxaparin in June 2019.

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The primary objective was to quantify the influences of care delivery teams on the outcomes of patients with multimorbidity. Electronic medical record data on 68,883 patient care encounters (i.e.

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Deep venous thrombosis (DVT) is a common medical finding occurring in ~25% of hospitalized patients with roughly half of these patients experiencing post-thrombotic complications [Baldwin, Moore, Rudarakanchana, Gohel, Davies (Post-thrombotic syndrome: a clinical review. J Thromb Haemost 2013;11:795-805.)].

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Introduction: At the beginning of the COVID-19 pandemic, many hospitals postponed elective operations for a 12-week period in early 2020. During this time, there was concern that the delay would lead to worse health outcomes. The objective of this study is to analyze the effect of delaying operations during this period on ED (Emergency Department) visits and/or urgent IP (Inpatient) admissions.

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Background: Injured patients in hemorrhagic shock have a survival benefit with massive transfusion protocol (MTP). While there are many published studies on the transfusion management of massively bleeding patients, the risk of alloimmunization in patients that have received products during an MTP activation is relatively unknown. Therefore, we sought to determine the frequency of new antibody formation in MTP patients that received blood products from an uncrossmatched megapack.

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Background: The aim of this study was to characterize patterns of multimorbidity across patients and identify opportunities to strengthen the informatics capacity of learning health systems that are used to characterize multimorbidity across patients.

Methods: Electronic health record (EHR) data on 225,710 multimorbidity patients were extracted from the Arkansas Clinical Data Repository as a use case. Hierarchical cluster analysis identified the most frequently occurring combinations of chronic conditions within the learning health system's captured data.

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To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis.

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Background: Severe traumatic brain injury (TBI) remains a leading cause of morbidity and mortality. Despite recommendations from the Brain Trauma Foundation, there is wide variability in treatment paradigms for severe TBI. We aimed to elucidate the variability of treatment, particularly neurosurgical procedures and how it affects mortality.

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Purpose: Peripheral venous pressure (PVP) waveform analysis is a novel, minimally invasive, and inexpensive method of measuring intravascular volume changes. A porcine cohort was studied to determine how venous and arterial pressure waveforms change due to inhaled and infused anesthetics and acute hemorrhage.

Methods: Venous and arterial pressure waveforms were continuously collected, while each pig was under general anesthesia, by inserting Millar catheters into a neighboring peripheral artery and vein.

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Clinical named entity recognition (NER) is an essential building block for many downstream natural language processing (NLP) applications such as information extraction and de-identification. Recently, deep learning (DL) methods that utilize word embeddings have become popular in clinical NLP tasks. However, there has been little work on evaluating and combining the word embeddings trained from different domains.

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Background: The use of palliative care for critically ill hospitalized patients has expanded. However, it is still underutilized in surgical specialties. Postsurgical patients requiring prolonged mechanical ventilation have increased mortality and costs of care; outcomes from adding palliative care services to this population have been poorly investigated.

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Article Synopsis
  • The study examines the relationship between trauma triage categories (major, moderate, minor) and injury severity scores (ISS).
  • It found that minor and moderate categories were similar in terms of ISS and other health measures, but significant differences emerged when low impact injuries were excluded.
  • The results suggest that trauma triage categories effectively predict outcomes in cases of high impact trauma.
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Background: Web analytics is the measurement, collection, analysis, and reporting of website and web application usage data. While common in the e-commerce arena, web analytics is underutilized in graduate medical education (GME).

Objective: The University of Arkansas for Medical Sciences Department of Surgery website was revamped with input from in-house surgeons in August 2017.

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Article Synopsis
  • Cholecystitis is a common infection that sometimes needs surgery, but not everyone can have surgery, so doctors might use antibiotics or a special tube instead.
  • In a study of over 776,000 patients, those who had the tube placed were older, had more health issues, and were less likely to be female.
  • Patients with the tube faced higher chances of going back to the hospital, increased medical costs, and stayed longer in the hospital compared to those who only received antibiotics.
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Background: The COVID-19 pandemic caused an abrupt change to societal norms. We anecdotally noticed an increase in penetrating and violent trauma during the period of stay-at-home orders. Studying these changes will allow trauma centers to better prepare for future waves of COVID-19 or other global catastrophes.

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The Acute Care Surgery model has been implemented by many hospitals in the United States. As complex adaptive systems, healthcare systems are composed of many interacting elements that respond to intrinsic and extrinsic inputs. Systems level analysis may reveal the underlying organizational structure of tactical block allocations like the Acute Care Surgery model.

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