Diagnosis Commons^™

Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female, and …

Heart To Heart, Mom To Mom, Karis L. Tekwani

Journal of Patient-Centered Research and Reviews

This essay describes the human connection forged between two young moms, one the physician and one the patient, when their paths collided one night in the emergency department of a busy hospital. It describes a challenging and most memorable care experience in the career of a young emergency physician, the clinical outcome, and the patient’s appreciative follow-up message years later.

Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin

Journal of Patient-Centered Research and Reviews

Purpose: In previous trials, the Stroke Network of Wisconsin (SNOW) scale accurately predicted large vessel occlusion (LVO) stroke in the hospital setting. This study evaluated SNOW scale performance in the prehospital setting and its ability to predict LVO or distal medium vessel occlusion (DMVO) in patients suspected of having acute ischemic stroke (AIS), a scenario in which transport time to an endovascular treatment-capable facility (ECSC) is critical.

Methods: All potential AIS patients with last-known-well time of ≤ 24 hours were assessed by Milwaukee County Emergency Medical Services for LVO using SNOW. Patients with a positive SNOW score were transferred to …

Prevalence Of Endocrine Disorders Among 6078 Individuals With Down Syndrome In The United States, Anne Rivelli, Veronica Fitzpatrick, Danielle Wales, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky, Brian Chicoine

Journal of Patient-Centered Research and Reviews

Findings from a recent study describing prevalence of common disease conditions in the largest documented cohort of individuals with Down syndrome (DS) in the United States strongly suggested significant disparity in endocrine disorders among these individuals when compared with age- and sex-matched individuals without DS. This retrospective, descriptive study is a follow-up report documenting prevalence of 21 endocrine disorder conditions, across 28 years of data, from 6078 individuals with DS and 30,326 age- and sex-matched controls, abstracted from electronic medical records within a large integrated health system. Overall, individuals with DS experienced higher prevalence of adrenal insufficiency and Addison’s disease; …

Seroprevalence Of Covid-19 Igg Antibody In Resident And Fellow Physicians In Milwaukee, Wisconsin: Analysis Of A Cross-Sectional Survey, Dennis J. Baumgardner, Alexander Schwank, Jessica J. F. Kram, Wilhelm Lehmann, Jacob Bidwell, Tricia La Fratta, Kenneth Copeland

Journal of Patient-Centered Research and Reviews

Purpose: Medical trainees are likely at differential risk of exposure to COVID-19 per respective clinical activity. We sought to determine the seroprevalence of COVID-19 antibody (Ab) among resident and fellow physicians with varying degrees of exposure to COVID-19.

Methods: A cross-sectional study of Milwaukee-based resident and fellow physicians, encompassing December 2019–June 2020, was conducted. Relevant variables of interest were ascertained by survey and payroll data, and Abbott ARCHITECT Ab test (index cut-off of ≥ 1.4) was performed. Descriptive statistics were generated, with 95% CI calculated for the study’s primary outcome of seroprevalence.

Results: Among survey respondents (92 of 148, 62%), …