Mayo Clinic proceedings
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Mayo Clinic proceedings · Mar 2023
Clinical Characteristics and Cause of Death Among Hospitalized Decedents With Cancer and COVID-19.
There is scant information on the clinical progression, end-of-life decisions, and cause of death of patients with cancer diagnosed with COVID-19. Therefore, we conducted a case series of patients admitted to a comprehensive cancer center who did not survive their hospitalization. To determine the cause of death, 3 board-certified intensivists reviewed the electronic medical records. ⋯ In contrast to the belief that COVID-19 decedents die because of their comorbidities, in our study only 1 of every 10 patients died of cancer-related causes. Full-scale interventions were offered to all patients irrespective of oncologic treatment intent. However, most decedents in this population preferred care with nonresuscitative measures rather than full support at the end of life.
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Mayo Clinic proceedings · Mar 2023
Systolic Blood Pressure and Cardiovascular Risk in Normotensive Adults.
To examine the association of systolic blood pressure (SBP) and cardiovascular risk in normotensive adults. ⋯ In adults without hypertension, there is a stepwise increase in risk of cardiovascular events, with increasing SBP starting at levels as low as 90 mm Hg.
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Mayo Clinic proceedings · Mar 2023
A Clinician's Guide to Running Custom Machine-Learning Models in an Electronic Health Record Environment.
We recently brought an internally developed machine-learning model for predicting which patients in the emergency department would require hospital admission into the live electronic health record environment. Doing so involved navigating several engineering challenges that required the expertise of multiple parties across our institution. ⋯ We recognize a broad interest and need to adopt machine-learning models into clinical practice and seek to share our experience to enable other clinician-led initiatives. This Brief Report covers the entire model deployment process, starting once a team has trained and validated a model they wish to deploy in live clinical operations.