4 results match your criteria: "Division of Biostatistics Medical College of Wisconsin[Affiliation]"
Article Synopsis
- This study aimed to determine the rate of type 2 non-ST-segment-elevation myocardial infarction (T2MI) in hospitalized COVID-19 patients and identify pre-hospital factors linked to T2MI, focusing on a national cohort rather than small, single-center studies.
- The analysis found that 2.2% of the 32,015 patients had T2MI, with certain characteristics like coronary artery disease and hypertension increasing the likelihood of T2MI, while pre-admission anti-hyperglycemic and anti-coagulation medications decreased that likelihood.
- Patients with T2MI experienced significantly higher morbidity and mortality, highlighting the serious impact of this condition on COVID-19 outcomes.
The Use and Concurrent Use of Side Effect Controlling Medications Among Women on Aromatase Inhibitors.
J Womens Health (Larchmt)
January 2021
Division of General Internal Medicine Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Women on aromatase inhibitors (AIs) as part of their breast cancer treatment often experience difficult to control side effects. Although there are several medications to manage the side effects of AI therapy, many of them are associated with their own risk, particularly sedation. The objective of this study was to describe the prescribing practices for side effect managing (SE) medications among women with breast cancer on AI therapy and to assess for combinations of medications that may present a clinical risk to patients.
View Article and Find Full Text PDFDetection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.
J Am Heart Assoc
March 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic Study of Atherosclerosis) free of clinically apparent cardiovascular disease at enrollment. We used BART to predict LV mass from ECG and participant characteristics using cardiac magnetic resonance imaging as the standard.
View Article and Find Full Text PDFSuperiority inferences on individual endpoints following noninferiority testing in clinical trials.
Biom J
October 2008
Division of Biostatistics Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226-0509, USA.
We consider the problem of drawing superiority inferences on individual endpoints following non-inferiority testing. Röhmel et al. (2006) pointed out this as an important problem which had not been addressed by the previous procedures that only tested for global superiority.
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