Adherence to institutional stroke alert criteria in an academic adult emergency department population.

Background: Timely recognition of acute ischemic stroke (AIS) is essential to identify patients who may be eligible for acute intervention. Protocols to streamline systems-based care, such as "stroke alerts" in the emergency department (ED) can safely reduce time-to-care while enhancing safety. However, clinician adherence to stroke alert criteria is poorly described.

Optimal Cutoff Values and Utility of High-Sensitivity Troponin T and NT-proBNP for the Risk Stratification of Patients with Acute Pulmonary Embolism.

Background: Guidelines recommend using high-sensitivity troponin T (hsTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) to risk stratify hemodynamically stable patients with acute pulmonary embolism (PE). However, there are no evidence-based cutoff values defined for this clinical application.

Methods: We performed a single-center, retrospective cohort study of patients with imaging-confirmed PE and hsTnT and/or NT-proBNP (ElecsysTM, Roche) measured 12 h before or 24 h after PE Response Team (PERT) activation.

Development and results of a novel emergency medicine residency research immersion program.

Creating a sustainable residency research program is necessary to develop a sustainable research pipeline, as highlighted by the recent Society for Academic Emergency Medicine 2024 Consensus Conference. We sought to describe the implementation of a novel, immersive research program for first-year emergency medicine residents. We describe the curriculum development, rationale, implementation process, and lessons learned from the implementation of a year-long research curriculum for first-year residents.

Emergency department diagnosis and management of acute pulmonary embolism.

Despite advances in clinical decision support, the diagnosis, prognostic risk stratification, treatment and disposition of emergency department patients with pulmonary embolism remain challenging. The use of diagnostic risk stratification tools and D-dimer can decrease unnecessary exposure to radiation and intravenous contrast; however, D-dimer is elevated in many conditions including normal pregnancy, so imaging is often indicated. Once diagnosed, prognostic risk stratification tools can inform treatment decisions across the risk spectrum, including identifying low-risk patients with pulmonary embolism who can safely be treated at home.

Derivation and external validation of a portable method to identify patients with pulmonary embolism from radiology reports: The READ-PE algorithm.

Background: Identification of pulmonary embolism (PE) across a cohort currently requires burdensome manual review. Previous approaches to automate capture of PE diagnosis have either been too complex for widespread use or have lacked external validation. We sought to develop and validate the Regular Expression Aided Determination of PE (READ-PE) algorithm, which uses a portable text-matching approach to identify PE in reports from computed tomography with angiography (CTA).

Characteristics and Health Care Utilization of Patients With Housing Insecurity in the ED.

Importance: Unstable housing and homelessness can exacerbate adverse health outcomes leading to increased risk of chronic disease, injury, and disability. However, emergency departments (EDs) have no universal method to identify those at risk of or currently experiencing homelessness.

Objective: To describe the extent of housing insecurity among patients who seek care in an urban ED, including chief concerns, demographics, and patterns of health care utilization.

Characteristics and outcomes of prehospital and emergency department surgical airways.

Objectives: The surgical airway is a high acuity, low occurrence procedure. Data on the complications and outcomes of surgical airways are limited. Our primary objective was to describe immediate complications, late complications, and clinical outcomes of patients who underwent a surgical airway procedure in the prehospital or emergency department (ED) setting.

Limitations in the use of automated mental status detection for clinical decision support.

Background: Clinical decision support (CDS) tools improve adherence to evidence-based practices but are dependent upon data quality in the electronic health record (EHR). Mental status is an integral component of many risk stratification scores, but it is not known whether EHR-measures of altered mental status are reliable. The Glasgow Coma Scale (GCS) is a measure of altered mentation that is widely adopted and entered in the EHR in structured format.

Cefepime vs Piperacillin-Tazobactam in Adults Hospitalized With Acute Infection: The ACORN Randomized Clinical Trial.

Importance: Cefepime and piperacillin-tazobactam are commonly administered to hospitalized adults for empirical treatment of infection. Although piperacillin-tazobactam has been hypothesized to cause acute kidney injury and cefepime has been hypothesized to cause neurological dysfunction, their comparative safety has not been evaluated in a randomized clinical trial.

Objective: To determine whether the choice between cefepime and piperacillin-tazobactam affects the risks of acute kidney injury or neurological dysfunction.

Randomized controlled trial of urinE chemiStry guided aCute heArt faiLure treATmEnt (ESCALATE): Rationale and design.

Diuresis to achieve decongestion is a central aim of therapy in patients hospitalized for acute decompensated heart failure (ADHF). While multiple clinical trials have investigated initial diuretic strategies for a designated period of time, there is a paucity of evidence to guide diuretic titration strategies continued until decongestion is achieved. The use of urine chemistries (urine sodium and creatinine) in a natriuretic response prediction equation accurately estimates natriuresis in response to diuretic dosing, but a randomized clinical trial is needed to compare a urine chemistry-guided diuresis strategy with a strategy of usual care.

Trends in paediatric firearm-related encounters during the COVID-19 pandemic by age group, race/ethnicity and schooling mode in Tennessee.

Background: Increases in paediatric firearm-related injuries during the COVID-19 pandemic may be due to changes in where children and adolescents spent their time. This study examines changes in the frequency of paediatric firearm-related encounters as a function of schooling mode overall and by race/ethnicity and age group at a large trauma centre through 2021.

Methods: We use data from a large paediatric and adult trauma centre in Tennessee from January 2018 to December 2021 (N=211 encounters) and geographically linked schooling mode data.

COVID-19 severity from Omicron and Delta SARS-CoV-2 variants.

The Omicron variant of SARS-CoV-2 achieved worldwide dominance in late 2021. Early work suggests that infections caused by the Omicron variant may be less severe than those caused by the Delta variant. We sought to compare clinical outcomes of infections caused by these two strains, confirmed by whole genome sequencing, over a short period of time, from respiratory samples collected from SARS-CoV-2 positive patients at a large medical center.

Do Patient-specific or Fracture-specific Factors Predict the Development of Acute Compartment Syndrome After Pediatric Tibial Shaft Fractures?

Background: Tibial shaft fractures are the most common injuries preceding acute compartment syndrome (ACS), so it is important to understand the incidence of and risk factors for ACS after pediatric tibial shaft fractures. The purposes of this study were to determine the rate at which ACS occurs and if any patient or fracture characteristics are significantly associated with developing ACS.

Methods: All patients aged 5 to 17 years treated for a tibial shaft fracture at a level 1 pediatric trauma center, a level 1 adult trauma center, and an outpatient orthopaedic practice between 2008 and 2016 were retrospectively identified.

Assessing Electronic Note Quality Using the Physician Documentation Quality Instrument (PDQI-9).

OBJECTIVE: To refine the Physician Documentation Quality Instrument (PDQI) and test the validity and reliability of the 9-item version (PDQI-9). METHODS: Three sets each of admission notes, progress notes and discharge summaries were evaluated by two groups of physicians using the PDQI-9 and an overall general assessment: one gold standard group consisting of program or assistant program directors (n=7), and the other of attending physicians or chief residents (n=24). The main measures were criterion-related validity (correlation coefficients between Total PDQI-9 scores and 1-item General Impression scores for each note), discriminant validity (comparison of PDQI-9 scores on notes rated as best and worst using 1-item General Impression score), internal consistency reliability (Cronbach's alpha), and inter-rater reliability (intraclass correlation coefficient (ICC)).

Quantifying clinical narrative redundancy in an electronic health record.

Objective: Although electronic notes have advantages compared to handwritten notes, they take longer to write and promote information redundancy in electronic health records (EHRs). We sought to quantify redundancy in clinical documentation by studying collections of physician notes in an EHR.

Design And Methods: We implemented a retrospective design to gather all electronic admission, progress, resident signout and discharge summary notes written during 100 randomly selected patient admissions within a 6 month period.

What "to-do" with physician task lists: clinical task model development and electronic health record design implications.

Clinical task, or "to-do" lists are a common element in the physician document known as signout. Such lists are used to capture and track patient care plan items, supporting daily workflow and collaborative patient management continuity across care transitions. While physician task lists have been shown to be important to patient safety, the tasks themselves have not been systematically examined for their subject matter, structure, or components.

An unsupervised machine learning approach to segmentation of clinician-entered free text.

Natural language processing, an important tool in biomedicine, fails without successful segmentation of words and sentences. Tokenization is a form of segmentation that identifies boundaries separating semantic units, for example words, dates, numbers and symbols, within a text. We sought to construct a highly generalizeable tokenization algorithm with no prior knowledge of characters or their function, based solely on the inherent statistical properties of token and sentence boundaries.

Signout: a collaborative document with implications for the future of clinical information systems.

Signout is an unofficial clinical document used traditionally to facilitate patient handoff. Qualitative studies have suggested its importance in clinical care. We used a novel technique to quantify the use of signout by analyzing clinical information system logfiles.