Publications by authors named "M Simonov"

Background: The COVID-19 pandemic sparked a surge of research publications spanning epidemiology, basic science, and clinical science. Thanks to the digital revolution, large data sets are now accessible, which also enables real-time epidemic tracking. However, despite this, academic faculty and their trainees have been struggling to access comprehensive clinical data.

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Article Synopsis
  • Guidelines suggest using risk scores to identify very-low-risk patients with gastrointestinal bleeding (GIB) for possible discharge from emergency departments.
  • A new machine learning model was developed and tested against existing scores (Glasgow-Blatchford and Oakland) using data from nearly 3,500 patients across different hospitals.
  • Results showed the machine learning model performed better in predicting very-low-risk patients, successfully identifying a higher percentage compared to the existing risk scores.
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Background: Lipid-lowering therapy (LLT) is underutilized for very high-risk atherosclerotic cardiovascular disease. PROMPT-LIPID (PRagmatic Trial of Messaging to Providers about Treatment of HyperLIPIDemia) sought to determine whether electronic health record (EHR) alerts improve 90-day LLT intensification in patients with very high-risk atherosclerotic cardiovascular disease.

Methods: PROMPT-LIPID was a pragmatic trial in which cardiovascular and internal medicine clinicians within Yale New Haven Health (New Haven, CT) were cluster-randomized to receive an EHR alert with individualized LLT recommendations or no alert for outpatients with very high-risk atherosclerotic cardiovascular disease and LDL-C (low-density lipoprotein cholesterol), ≥70 mg/dL.

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Background: It remains unclear whether patients with asthma and/or chronic obstructive pulmonary disease (COPD) are at increased risk for severe coronavirus disease 2019 (COVID-19).

Objective: Compare in-hospital COVID-19 outcomes among patients with asthma, COPD, and no airway disease.

Methods: A retrospective cohort study was conducted on 8,395 patients admitted with COVID-19 between March 2020 and April 2021.

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