Publications by authors named "C P Cannon"

Background: Patients with a history of coronary revascularization are at a higher risk for subsequent cardiovascular events and all-cause mortality. Lowering LDL-cholesterol (LDL-C) levels post-revascularization significantly reduces these risks.

Methods: This analysis compared LDL-C-lowering therapies at baseline and over time among patients with and without prior coronary revascularization in the GOULD registry (a prospective multicenter cohort study).

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Aim: To assess weight loss and cardiorenal outcomes by baseline body mass index (BMI) in VERTIS CV.

Methods: Patients with type 2 diabetes and atherosclerotic cardiovascular (CV) disease were randomized to ertugliflozin or placebo. These post hoc analyses evaluated cardiometabolic and cardiorenal outcomes (a composite of death from CV causes or hospitalization for heart failure [HHF], CV death, HHF and an exploratory composite kidney outcome including ≥40% estimated glomerular filtration rate [eGFR] decrease) by baseline BMI, using conventional clinical categories and Cox proportional hazards models.

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Objective: The objective of this study was to describe the prevalence of obesity, obesity-related conditions (ORCs), and antiobesity medication (AOM) eligibility and prescribing practice among eligible patients in a large health care system.

Methods: In this cross-sectional analysis of the multicenter Mass General Brigham health care system (Boston, Massachusetts) spanning 2018 to 2022, adults eligible for AOMs (BMI ≥ 30 kg/m or BMI 27-29.9 kg/m with ≥1 ORC) were identified.

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HIV incidence among transgender women remains high and disproportionately impacts young, Black, and Latina transgender women. Data on preferred PrEP modalities among this population are limited. Participants in The LITE Cohort completed a survey module on PrEP modality preferences during 24-month study visits.

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A majority of patients with heart failure (HF) do not receive adequate medical therapy as recommended by clinical guidelines. One major obstacle encountered by population health management (PHM) programs to improve medication usage is the substantial burden placed on clinical staff who must manually sift through electronic health records (EHRs) to ascertain patients' eligibility for the guidelines. As a potential solution, the study team developed a rule-based system (RBS) that automatically parses the EHR for identifying patients with HF who may be eligible for guideline-directed therapy.

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