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Mashup Score: 2Impact of Embedding a Venous Thromboembolism Risk Assessment Model in the Electronic Health Record Versus Usual Care: A Cluster-Randomized Trial - 1 month(s) ago
Background: There are multiple risk assessment models (RAMs) for venous thromboembolism prophylaxis, but it is unknown whether they increase appropriate prophylaxis. Methods: To determine the impact
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Mashup Score: 4
BACKGROUND: Patients with atrial fibrillation have a high mortality rate that is only partially attributable to vascular outcomes. The competing risk of death may affect the expected anticoagulant be
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Mashup Score: 1Relationship of Blood Pressure, Health Behaviors, and New Diagnosis and Control of Hypertension in the BP-CHECK Study - 1 month(s) ago
BACKGROUND: Undiagnosed hypertension and uncontrolled blood pressure (BP) are common and contribute to excess cardiovascular morbidity and mortality. We examined whether BP control, changes in BP, an
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Mashup Score: 2Role of Biomarkers of Myocardial Injury to Predict Adverse Outcomes in Hypertrophic Cardiomyopathy - 1 month(s) ago
BACKGROUND: Serum troponins and CK-MB (creatine kinase-MB) are readily detectable and reliable cardiac-specific biomarkers of subclinical myocardial injury. This study explores the roles of cTnI (car
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Mashup Score: 11Classification Algorithm to Distinguish Between Type 1 and Type 2 Myocardial Infarction in Administrative Claims Data - 1 month(s) ago
BACKGROUND: Type 2 myocardial infarction (T2MI) and type 1 myocardial infarction (T1MI) differ with respect to demographics, comorbidities, treatments, and clinical outcomes. Reliable quality and out
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Mashup Score: 4
BACKGROUND: It is unclear how the type of an atherosclerotic cardiovascular disease (ASCVD) event potentially influences patients’ likelihood of smoking cessation. METHODS: Using 2013 to 2018 data fr
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Mashup Score: 14Clinical Care for Life’s Essential 8 by Medical Specialty in the United States, an Observational Cohort Study - 1 month(s) ago
Department of Medicine, Weill Cornell Medicine, New York (M.R.S.). Correspondence to: Jeremy B. Sussman, MD, MS, 2800 Plymouth Rd, Bldg 16, Rm 343E Ann Arbor, MI 48109-2800. Email Department of Internal Medicine, University of Michigan Ann Arbor. (J.B.S.) Institute for Healthcare Policy and Innovation, University of Michigan Ann Arbor. (J.B.S.) This manuscript was sent to Dennis T. Ko, MD, MSc, Senior Guest Editor, for review by expert referees, editorial decision, and final disposition. For Sources of
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Mashup Score: 1Identification of Fatigue Subtypes and Their Correlates in Prevalent Heart Failure: A Secondary Analysis of the Atherosclerosis Risk in Communities Study - 1 month(s) ago
BACKGROUND: Among patients with heart failure (HF), fatigue is common and linked to quality of life and functional status. Fatigue is hypothesized to manifest as multiple types, with general and exer
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Mashup Score: 0Trends in Patient Access to and Utilization of Prescribed PCSK9 Inhibitors in a Large US Claims Database From 2015 to 2021 - 1 month(s) ago
Correspondence to: Diane E. MacDougall, MS, Family Heart Foundation, 5548 First Coast Hwy, Suite 204, Fernandina Beach, FL 32034. Email Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death in the United States. LDL-C (low-density lipoprotein cholesterol) is a key driver and modifiable risk factor of ASCVD, particularly in high-risk patients, including those with genetic lipid disorders. 1 PCSK9i (proprotein convertase subtilisin/kexin type 9) inhibitors represented a maj or
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Mashup Score: 4Racial Bias in Pulse Oximetry Measurement: Considerations in Patients With Heart Failure - 1 month(s) ago
Correspondence to: Scott W. Ketcham, MD, Frankel Cardiovascular Center 1425 E. Ann St. Ann Arbor, MI 48109. Email Division of Cardiovascular Medicine, Department of Internal Medicine (S.W.K., M.C.K.), University of Michigan. Division of Cardiovascular Medicine, Department of Internal Medicine (S.W.K., M.C.K.), University of Michigan. College of Pharmacy (V.D.M.), University of Michigan. Department of Clinical Pharmacy, College of Pharmacy (S.K.A.), University of Michigan. This manuscript was sent to
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In an RCT, a VTE prediction model embedded in the EHR increased appropriate prophylaxis use but was used infrequently @MRothbergMD @mattpappas #AHAJournals https://t.co/8pUMosxihl https://t.co/QE6zQqrAZz