Abstract 4138024: Identifying the Medications with the Greatest Reduction in Mortality in Coronary Artery Dissection

Introduction: Coronary artery dissection (CD) is a potentially fatal complication, usually arising either spontaneously or iatrogenically. Therefore, identifying treatment methods that reduce mortality is of great importance. The American College of Cardiology recommendations stipulate that patients who have experienced CD may benefit from beta-blocker therapy, as beta-blockers have been shown to reduce the incidence of recurrent CD. Currently, there is little published data in support of beta-blockers providing mortality reduction for CD. Given the significant risk of mortality from CD, we aimed to test the veracity of these recommendations using a retrospective multicenter study as well as having a main objective of exploring means to lower mortality in CD. Methods: We conducted a retrospective, multicenter cohort that identified 2,104 patients diagnosed with CD. We extracted the data from across 16 West Florida hospitals in between the years of 2017-2022. Our patients were identified and stratified based on common lab values and cardioprotective medications they were taking. Chi-square and binary logistic regression was used to calculate odds ratios for mortality. The odds ratio estimate for mortality was our primary outcome with attention given to factors that were associated with an increased or decreased likelihood of mortality in patients with CD. Results: Patients on beta-blockers, angiotensin converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) were the only variables that were statistically significant. Out of 2,104 patients, 1,562 patients were on beta-blockers (74.2%), and 921 were on an ACEi/ARB (43.8%). Our data revealed that the odds ratio for mortality in patients with CD while on beta blockers was 0.375 (p-value 0.0009, confidence interval 0.210-0.669), and while on ACEi/ARBs was 0.447 (p-value 0.0077, confidence interval 0.247-0.808). These results indicate a significant reduction in mortality in patients who are taking beta-blockers and/or ACEi/ARB medications after being diagnosed with CD. Conclusion: Our data can be viewed as supportive of the current recommendation for the primary use of beta-blockers in patients with spontaneous CD, as well as suggesting angiotensin receptor blockers and angiotensin-converting enzyme inhibitors as possible additional therapies

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4138024
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4138024: Identifying the Medications with the Greatest Reduction in Mortality in Coronary Artery Dissection

Abraheim Al-Nasseri, Huy Ho, Suman Pasupuleti, Usman Kazi
Circulation
Cardiac, Anesthesia and Surgical Outcomes
article

Abstract 4138024: Identifying the Medications with the Greatest Reduction in Mortality in Coronary Artery Dissection

Abraheim Al-Nasseri, Huy Ho, Suman Pasupuleti, Usman Kazi
article en

Abstract

Introduction: Coronary artery dissection (CD) is a potentially fatal complication, usually arising either spontaneously or iatrogenically. Therefore, identifying treatment methods that reduce mortality is of great importance. The American College of Cardiology recommendations stipulate that patients who have experienced CD may benefit from beta-blocker therapy, as beta-blockers have been shown to reduce the incidence of recurrent CD. Currently, there is little published data in support of beta-blockers providing mortality reduction for CD. Given the significant risk of mortality from CD, we aimed to test the veracity of these recommendations using a retrospective multicenter study as well as having a main objective of exploring means to lower mortality in CD. Methods: We conducted a retrospective, multicenter cohort that identified 2,104 patients diagnosed with CD. We extracted the data from across 16 West Florida hospitals in between the years of 2017-2022. Our patients were identified and stratified based on common lab values and cardioprotective medications they were taking. Chi-square and binary logistic regression was used to calculate odds ratios for mortality. The odds ratio estimate for mortality was our primary outcome with attention given to factors that were associated with an increased or decreased likelihood of mortality in patients with CD. Results: Patients on beta-blockers, angiotensin converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) were the only variables that were statistically significant. Out of 2,104 patients, 1,562 patients were on beta-blockers (74.2%), and 921 were on an ACEi/ARB (43.8%). Our data revealed that the odds ratio for mortality in patients with CD while on beta blockers was 0.375 (p-value 0.0009, confidence interval 0.210-0.669), and while on ACEi/ARBs was 0.447 (p-value 0.0077, confidence interval 0.247-0.808). These results indicate a significant reduction in mortality in patients who are taking beta-blockers and/or ACEi/ARB medications after being diagnosed with CD. Conclusion: Our data can be viewed as supportive of the current recommendation for the primary use of beta-blockers in patients with spontaneous CD, as well as suggesting angiotensin receptor blockers and angiotensin-converting enzyme inhibitors as possible additional therapies

CirculationVol. 150(Suppl_1)
Orange County Healthcare Agency (US)
Good health and well-being
Openalex Percentile: Top 63%
Cardiac, Anesthesia and Surgical Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.