Publications by authors named "B Chaitman"

Background: The relationship between the extent and severity of stress-induced ischemia and the extent and severity of anatomic coronary artery disease (CAD) in patients with obstructive CAD is multifactorial and includes the intensity of stress achieved, type of testing used, presence and extent of prior infarction, collateral blood flow, plaque characteristics, microvascular disease, coronary vasomotor tone, and genetic factors. Among chronic coronary disease participants with site-determined moderate or severe ischemia, we investigated associations between ischemia severity on stress testing and the extent of CAD on coronary computed tomography angiography.

Methods: Clinically indicated stress testing included nuclear imaging, echocardiography, cardiac magnetic resonance imaging, or nonimaging exercise tolerance test.

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Background: The optimal hemoglobin threshold to guide red blood cell (RBC) transfusion for patients with acute myocardial infarction (MI) and anemia is uncertain.

Objective: To estimate the efficacy of 4 individual hemoglobin thresholds (<10 g/dL [<100 g/L], <9 g/dL [<90 g/L], <8 g/dL [<80 g/L], and <7 g/dL [<70 g/L]) to guide transfusion in patients with acute MI and anemia.

Design: Prespecified secondary analysis of the MINT (Myocardial Ischemia and Transfusion) trial using target trial emulation methods.

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Background: Current risk stratification tools for acute myocardial infarction (AMI) have limitations, particularly in predicting mortality. This study utilizes cardiac ultrasound radiomics (i.e.

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Background: The MINT trial (Myocardial Ischemia and Transfusion) raised concern for harm from a restrictive versus liberal transfusion strategy in patients with acute myocardial infarction (MI) and anemia. Type 1 and type 2 MI are distinct pathophysiologic entities that may respond differently to blood transfusion. This analysis sought to determine whether the effects of transfusion varied among patients with a type 1 or a type 2 MI and anemia.

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Article Synopsis
  • The study aimed to evaluate the effectiveness of coronary computed tomography angiography (CCTA) in assessing the risk of cardiovascular events through atherosclerotic plaque analysis in patients with ischemia.
  • Using quantitative computed tomography (AI-QCT), researchers analyzed plaque characteristics and examined their relationship to cardiovascular death or myocardial infarction over an average follow-up of 3.3 years.
  • Results showed that total plaque volume was the strongest predictor of adverse outcomes, and incorporating AI-QCT data improved predictive models beyond traditional risk factors.
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