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 …

Comprehensive Echocardiographic Findings In Critically Ill Covid-19 Patients With Or Without Prior Cardiac Disease, Renuka Jain, Pedro D. Salinas, Stacie Kroboth, Abigail Kaminski, Sarah Roemer, Ana Cristina Perez Moreno, Bijoy K Khandheria

Journal of Patient-Centered Research and Reviews

Purpose: Coronavirus disease 2019 (COVID-19) presents with a spectrum of disease severity, the most serious cases requiring intensive care. Echocardiography is a front-line tool in evaluating cardiovascular complications of COVID-19 in the intensive care unit (ICU); we analyzed transthoracic echocardiograms obtained from this patient population with state-of-the-art ultrasound technology.

Methods: All patients with COVID-19 requiring ICU admission on whom a transthoracic echocardiogram was obtained were included in the study. Focused transthoracic protocols were performed by experienced sonographers. Echocardiographic variables, including speckle-tracking echocardiography, were collected and analyzed. Clinical information was obtained from the electronic medical record. Patients were followed until discharge. …