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Association between coronary artery calcium and the progression of calcific aortic valve disease: a hospital population-based observational retrospective cohort study

Por: Kim · H.-T. · Seo · J. H. · Bae · J. H. · Kim · T. J. · Kim · Y. M. · Jo · H. · Lee · S. H. · Chung · H. J. · Han · D. S.
Objectives

To explore the association between the degree of coronary artery calcium (CAC) and the progression of calcific aortic valve disease (CAVD).

Design

A single-centre retrospective cohort study using a hospital-based database.

Participants

A total of 2898 patients who underwent coronary CT angiography and serial echocardiograms at ≥6 months apart were included. Initial echocardiography was performed within 6 months from the time of CCTA.

Outcome measures

CAC was divided into four groups: 0, 1–99, 100–399 and ≥400 (Agatston units, AU). The progression of CAVD was defined in two ways: progression 1 as at least one grade of progression, progression 2 as at least moderate aortic stenosis (AS) at follow-up.

Results

At the initial CAVD grade, patients with at least mild AS tended to increase with increasing CAC (p

Conclusions

CAC was significantly associated with the progression of CAVD. Particularly, CAC≥400 was linked to progression toward significant AS.

How do medical and social contexts affect telemedicine efficiency and quality? A propensity-score matching protocol in Canadas primary care

Por: Tsuei · S. H.-T. · McGrail · K. · Law · M. · Stucchi · A. · Hedden · L.
Introduction

Telemedicine use has risen significantly since the COVID-19 pandemic. Evidence suggests that the quality of care in telemedicine could be as good as in-person care, but this is likely context-dependent. Expert guidelines have declared the appropriate medical conditions, but often without empirical evidence that grapples with the fundamental information limitations facing telemedicine. We draw on the task-technology fit theory and empirical evidence around human communication to examine how the medical and social contexts affect the efficiency and clinical quality of primary care.

Methods and analysis

We will use a population-based dataset from the Canadian province of British Columbia (BC) to inform a quasi-experimental study using propensity score matching (PSM). The treatment group will consist of telemedicine visits from April to December 2022. We will use PSM to create a control group of matched, in-person visits in the same period. We will then use cluster-robust linear regression to identify how specific medical conditions and social contexts are associated with higher rates of prescription, follow-up with primary care providers, emergency department visits and acute care admissions. We plan for the study to take place from 1 August 2025 to 1 August 2026.

Ethics and dissemination

The Research Ethics BC has granted approval for this study (H21-02244-A006). Our findings will be shared with patients, healthcare providers and policymakers and disseminated through conference presentations and peer-reviewed publications.

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