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The Impact of Longitudinal Data-Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores
Clin Pharmacol Ther. 2023 Apr 7. doi: 10.1002/cpt.2901. Online ahead of print.ABSTRACTThe impact of electronic health record (EHR) discontinuity, i.e., receiving care outside of a given EHR system, on EHR-based risk prediction is unknown. We aimed to assess the impact of EHR-continuity on performance of clinical risk scores. The study cohort consisted of patients aged ≥65 years with ≥1 EHR encounter in the two networks in Massachusetts (MA, 2007/1/1-2017/12/31, internal training and validation dataset), and one network in North Carolina (NC, 2007/1/1-2016/12/31, external validation dataset) that were linked with Medica...
Source: Clinical Pharmacology and Therapeutics - April 7, 2023 Category: Drugs & Pharmacology Authors: Yinzhu Jin Janick G Weberpals Shirley V Wang Rishi J Desai David Merola Kueiyu Joshua Lin Source Type: research

A Real-World Exploration into Clinical Outcomes of Direct Oral Anticoagulant Dosing Regimens in Morbidly Obese Patients Using Data-Driven Approaches
ConclusionData-driven approaches can identify key factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients. This will help design further studies to explore well tolerated and effective DOAC doses for morbidly obese patients.
Source: American Journal of Cardiovascular Drugs - March 6, 2023 Category: Cardiology Source Type: research