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CPP : Cardiovascular Prevention and Pharmacotherapy

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Volume 5(1); January 2023
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Review Article
Adverse reactions to antiarrhythmic drugs
Ungjeong Do
Cardiovasc Prev Pharmacother. 2023;5(1):1-14.   Published online January 16, 2023
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Abstract PDF
There are various types of adverse reactions to antiarrhythmic drugs (AADs). Proarrhythmia, which refers to an exacerbation of the preexisting arrhythmia or occurrence of a new arrhythmia, may occur under the therapeutic concentration of an AAD. Bradyarrhythmia is the most common type of proarrhythmia due to AADs, and prior myocardial infarction and old age are known risk factors. Atrial flutter with 1:1 atrioventricular conduction usually occurs during rhythm control of atrial fibrillation with class IC AADs. QT prolongation due to AADs, mainly class III AADs, elevates the risk of torsade de pointes by triggered activity due to early afterdepolarization. The addition of clinical factors that promote QT prolongation, such as hypokalemia, hypomagnesemia, female sex, and bradycardia, increases the risk of developing torsade de pointes. Proarrhythmic monomorphic ventricular tachycardia usually occurs as a result of slow conduction and disparity of refractoriness due to class IC AADs. In patients with preexisting left ventricular systolic dysfunction or structural heart disease, the risk of hypotension or cardiogenic shock caused by negative inotropic effects due to AADs should be considered. To prevent these major adverse reactions to AADs, we need to understand the electrophysiologic properties of AADs in detail. Furthermore, the risk of proarrhythmia could be heightened by interplay with clinical factors, such as electrolyte unbalances, heart rate, and hepatic/renal or myocardial dysfunction. Sufficient awareness about drug-drug interactions, which may affect the metabolism of AADs, will improve patient safety during the management of arrhythmia.
Original Articles
Changes in cardiovascular-related health behaviors during the COVID-19 pandemic
Eunji Kim, Chan-Hee Jung, Dae Jung Kim, Seung-Hyun Ko, Hae-Young Lee, Kyung-Yul Lee, Dae Ryong Kang, Sung Kee Ryu, Won-Young Lee, Eun-Jung Rhee, Hyeon Chang Kim
Cardiovasc Prev Pharmacother. 2023;5(1):15-23.   Published online January 27, 2023
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  • 45 Download
  • 2 Citations
Abstract PDFSupplementary Material
The COVID-19 pandemic has been the most pressing health challenge in recent years. Meanwhile, prevention for other diseases, such as cardiovascular disease (CVD) has been less prioritized during the pandemic. COVID-19, a novel infectious disease, both had a direct impact on public health and provoked changes in health-related behaviors, including those for CVD prevention. This study sought to examine changes in CVD-related health behaviors during the COVID-19 pandemic and related sociodemographic factors.
We used data from the Cardiovascular Disease Prevention Awareness Survey conducted in Korea in June 2022. A total of 2,000 adults across Korea’s 17 provinces completed a structured questionnaire online or on a mobile device. Self-reported changes in CVD-related health behaviors were investigated. We used unadjusted and adjusted logistic regression models to explore the associations between negative changes and sociodemographic factors.
In smoking, drinking, and healthcare service use, the proportion of those with positive changes surpassed the proportion of respondents who reported negative changes. In contrast, negative changes predominated for diet, exercise, and stress. Most individuals (52.6%) reported a deterioration of psychological distress. These negative changes were significantly associated with age, sex, marital status, and the presence of cardiometabolic disease.
The COVID-19 pandemic has affected CVD-related health behaviors. Based on these changes, CVD prevention should be encouraged with appropriate and prioritized strategies.


Citations to this article as recorded by  
  • Changes in cardiovascular-related health behaviors after the end of social distancing: the 2023 Cardiovascular Disease Prevention Awareness Survey
    Jaeyong Lee, Eunji Kim, Won-Young Lee, Eun-Jung Rhee, Hyeon Chang Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(2): 57.     CrossRef
  • Cardiovascular-related health behavior changes: lessons from the COVID-19 pandemic and post-pandemic challenges
    Inha Jung, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(4): 99.     CrossRef
Modifiable risk factors for coronary artery disease in the Indonesian population: a nested case-control study
Anggoro Budi Hartopo, Maria Patricia Inggriani, Brilliant Winona Jhundy, Jajah Fachiroh, Putri Tiara Rosha, Ratri Kusuma Wardani, Fatwa Sari Tetra Dewi
Cardiovasc Prev Pharmacother. 2023;5(1):24-34.   Published online January 31, 2023
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  • 96 Download
Abstract PDF
There is a lack of data on modifiable coronary artery disease (CAD) risk factors in the Indonesian population, hindering the implementation of assessments and prevention programs in this population. This study investigated modifiable risk factors for CAD among Indonesians by comparing them between CAD-proven patients and healthy subjects from a similar population.
In this nested, matched case-control study, the cases were patients from a referral hospital in Yogyakarta, Indonesia and the controls were respondents in a population surveillance system in Yogyakarta, Indonesia. The cases were 421 patients who had undergone coronary angiography, showing significant CAD. The sex- and age-matched controls were 842 respondents from the Universitas Gadjah Mada Health and Health and Demographic Surveillance System Sleman who indicated no CAD presence on a questionnaire. The modifiable CAD risk factors compared between cases and controls were diabetes mellitus, hypertension, central obesity, smoking history, physical inactivity, and less fruit and vegetable intake. A multivariate regression model was applied to determine independent modifiable risk factors for CAD, expressed as adjusted odds ratios (AORs).
A multivariate analysis model of 1,263 subjects including all modifiable risk factors indicated that diabetes mellitus (AOR, 3.32; 95% confidence interval [CI], 2.09–5.28), hypertension (AOR, 2.52; 95% CI, 1.76–3.60), former smoking (AOR, 4.18; 95% CI, 2.73–6.39), physical inactivity (AOR, 15.91; 95% CI, 10.13–24.99), and less fruit and vegetable intake (AOR, 5.42; 95% CI, 2.84–10.34) independently and significantly emerged as risk factors for CAD.
Hypertension, diabetes mellitus, former smoking, physical inactivity, and less fruit and vegetable intake were independent and significant modifiable risk factors for CAD in the Indonesian population.

CPP : Cardiovascular Prevention and Pharmacotherapy