Skip to Content
HealthcareHealthcare
  • Correction
  • Open Access

7 August 2024

Correction: Zamfir et al. Trends in Coronary Artery Anomalies Detection by Coronary Computed Tomography Angiography (CCTA): A Real-Life Comparative Study before and during the COVID-19 Pandemic. Healthcare 2024, 12, 1091

,
,
,
,
,
and
1
Clinical Hospital of Pulmonary Diseases, 700115 Iasi, Romania
2
Department of Medical Sciences III, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
3
Regional Institute of Oncology, 700483 Iasi, Romania
4
Department of Surgery, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
This article belongs to the Special Issue Management in Different Health Conditions

Error in Table

In the original publication [1], there was a mistake in Tables 3 and 4 as published. The values in Tables 3 and 4 were reported incorrectly—they actually represent the percentage of negative cases (mirror values). The corrected Table 3 and Table 4 appear below.
Table 3. Cardiovascular risk factors among patients with coronary artery anomalies before and during the COVID-19 pandemic.
Table 4. Coronary artery disease (CAD) and chronic cardiac failure among patients with CAAs before and during the COVID-19 pandemic.

Text Correction

There was an error in the original publication. Coronary heart disease was not the most common disorder; chronic cardiac failure was.
A correction has been made to Results, paragraph 9, as follows:
In terms of the associated comorbidities of these patients, cardiovascular conditions remained prevalent across both selected time frames, with chronic cardiac failure exhibiting the highest prevalence, followed by coronary artery disease (CAD) and dilated cardiomyopathy (Table 4).
There was an error in the original publication. The prevalence of hypertension during COVID-19 did not increase. At the same time, not only DCM showed a decrease, but all three conditions (DCM, coronary heart disease, and chronic heart failure).
A correction has been made to Discussion, paragraphs 10–11, as follows:
While comparing the prevalence of common cardiovascular risk factors before and during the COVID-19 pandemic, our analysis revealed relatively similar percentages of patients with hypertension, diabetes mellitus, dyslipidemia, metabolic syndrome, and smoking history across both time periods. These findings suggest that there are no significant relevant statistical disparities in the prevalence of cardiovascular risk factors before and during COVID-19. However, it is essential to recognise that, while the pandemic may not have directly influenced the prevalence of these risk factors, the stability in their prevalence suggests a degree of resilience in healthcare delivery and patient behaviour despite the challenges posed by the pandemic.
The comparison of cardiovascular disorders prevalence before and during the COVID-19 pandemic suggests that during the pandemic, all three conditions showed a decrease; however, none of these changes demonstrated statistical significance.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zamfir, A.-S.; Cernomaz, T.-A.; Ciuntu, B.M.; Azoicăi, D.; Zamfir, C.L.; Chistol, R.O.; Sava, A. Trends in Coronary Artery Anomalies Detection by Coronary Computed Tomography Angiography (CCTA): A Real-Life Comparative Study before and during the COVID-19 Pandemic. Healthcare 2024, 12, 1091. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.