Publications by authors named "Christin A Thompson"

Background: Patients with severe aortic stenosis (AS) who are managed medically have a poor prognosis. No contemporary studies have examined resource use and costs associated with medical management for severe AS.

Methods: Using the Optum Market Clarity Database, which links electronic health records with cost and use data, we identified patients with documented severe AS between 2016 and 2020 who were eligible for aortic valve replacement but did not undergo treatment within 1 year following diagnosis.

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Objective: To analyze the cost-effectiveness of transcatheter aortic valve implantation (TAVI) using the SAPIEN 3 (Edwards Lifesciences, Irvine, CA) compared to surgical aortic valve replacement (SAVR) in low- and intermediate-risk patients from a Japanese public healthcare payer perspective.

Methods: A Markov model cost-effectiveness analysis was developed. Clinical and utility data were extracted from a systematic literature review.

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Aims: We evaluated the availability of transcatheter aortic valve replacement (TAVR) to determine its value across all severe symptomatic aortic stenosis (SSAS) patients, especially those untreated because of concerns regarding invasive surgical AVR (SAVR) and its impact on active aging.

Methods: We performed payer perspective cost-utility analysis (CUA) and societal perspective cost-benefit analysis (CBA). The CBA's benefit measure is active time: salaried labor, unpaid work, and active leisure.

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Background The aim of this study was to identify patients vulnerable for anxiety and/or depression following aortic valve replacement (AVR) and to evaluate factors that may mitigate this risk. Methods and Results This is a retrospective cohort study conducted using a claims database; 18 990 patients (1/2013-12/2018) ≥55 years of age with 6 months of pre-AVR data were identified. Anxiety and/or depression risk was compared at 3 months, 6 months, and 1 year following transcatheter aortic valve replacement or surgical AVR (SAVR) after risk adjustment using logistic regression and Cox proportional hazards models.

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Purpose: More research is needed on the health effects of marijuana use. Results of previous studies indicate that marijuana could alleviate certain factors of metabolic syndrome, such as obesity.

Methods: Data on 6281 persons from National Health and Nutrition Examination Survey from 2005 to 2012 were used to estimate the effect of marijuana use on cardiometabolic risk factors.

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