Predictors of stable coronary artery disease progression in the post-COVID period.

Aim. To evaluate the clinical course of stable coronary artery disease (CAD) depending on the timing of disease onset in relation to COVID-19 infection, and to identify predictors of disease progression during the post-COVID period. Materials and Methods. This study included 431 patients with stable CAD who had a confirmed history of COVID-19 between 2020 and 2023, with a minimum of 3 months between infection and enrollment. Patients were divided into two groups based on the timing of CAD diagnosis: patients diagnosed with CAD in the post-COVID period (n = 198, post-COVID-CAD) and patients diagnosed with CAD before their COVID-19 infection (n = 233, pre- COVID-CAD). We further evaluated clinical and laboratory parameters, including lipid profile (apolipoprotein A1, apolipoprotein B, lipoprotein( a)), N-terminal pro-brain natriuretic peptide (NT-proBNP), ST2, and coronary angiography. Logistic regression analysis was used to identify predictors of CAD progression. Results. Patients with pre- COVID-CAD were older (median age 62 vs. 61 years, p = 0.009), had a higher body mass index (BMI: 31.02 vs. 28.73 kg/m², p < 0.001), and a longer history of arterial hypertension (15 vs. 9.5 years, p < 0.001). COVID-19 was more severe in patients with pre-COVID-CAD, with a higher hospitalization rate (50.2% vs. 37.8%, p = 0.012) and more frequent moderate cases during the acute phase (58.7% vs. 45.9%, p < 0.009). Patients with pre-COVID-CAD also had a higher prevalence of prior myocardial infarction (51.0% vs. 26.7%, p < 0.001) and hemodynamically significant coronary artery lesions (86.2% vs. 67.6%, p < 0.001). Conversely, normal coronary arteries were more often observed in patients with post-COVID-CAD (8.5% vs. 7.2%, p = 0.003), possibly indicating microvascular involvement in post-COVID-CAD pathogenesis. Multifocal atherosclerosis was prevalent in both groups (75.7% vs. 79.8%, p = 0.351). Heart failure with mildly reduced ejection fraction (HFmrEF) was more common in patients with pre-COVID-CAD (10.7% vs. 5.0%, p = 0.034), whereas heart failure with preserved ejection fraction (HFpEF) predominated in patients with post-COVIDCAD (94.9% vs. 89.2%, p = 0.034). Left ventricular ejection fraction and glomerular filtration rate were significantly lower in patients with pre-COVID-CAD (60% vs. 62%, p = 0.007; 63.0 vs. 67.5 mL/min/1.73 m², p < 0.001, respectively). Laboratory indicators such as triglycerides, Lp(a), apoB, uric acid, and cystatin C were significantly elevated in patients with pre-COVID-CAD (p < 0.05). Multivariate analysis identified the following significant predictors of CAD progression in the post-COVID period: angina duration > 2.5 years, BMI > 29.66 kg/m², a history of moderate COVID-19, Lp(a) > 317.6 mg/dL, and NT-proBNP > 161.04 pg/mL. Conclusion. The timing of CAD onset in relation to COVID-19 significantly influences the disease course, emphasizing the need for a differentiated management strategy in post-COVID patients to predict CAD progression

Authors

Institutions

Publication Details

Journal
Fundamental and Clinical Medicine
Published
2025-06-30
DOI
https://doi.org/10.23946/2500-0764-2025-10-2-82-95
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of stable coronary artery disease progression in the post-COVID period.

В. Л. Лукинов, Daria A. Derisheva, D. A. Yakhontov
Fundamental and Clinical Medicine
Long-Term Effects of COVID-19
article

Predictors of stable coronary artery disease progression in the post-COVID period.

В. Л. Лукинов, Daria A. Derisheva, D. A. Yakhontov
article en

Abstract

Aim. To evaluate the clinical course of stable coronary artery disease (CAD) depending on the timing of disease onset in relation to COVID-19 infection, and to identify predictors of disease progression during the post-COVID period. Materials and Methods. This study included 431 patients with stable CAD who had a confirmed history of COVID-19 between 2020 and 2023, with a minimum of 3 months between infection and enrollment. Patients were divided into two groups based on the timing of CAD diagnosis: patients diagnosed with CAD in the post-COVID period (n = 198, post-COVID-CAD) and patients diagnosed with CAD before their COVID-19 infection (n = 233, pre- COVID-CAD). We further evaluated clinical and laboratory parameters, including lipid profile (apolipoprotein A1, apolipoprotein B, lipoprotein( a)), N-terminal pro-brain natriuretic peptide (NT-proBNP), ST2, and coronary angiography. Logistic regression analysis was used to identify predictors of CAD progression. Results. Patients with pre- COVID-CAD were older (median age 62 vs. 61 years, p = 0.009), had a higher body mass index (BMI: 31.02 vs. 28.73 kg/m², p < 0.001), and a longer history of arterial hypertension (15 vs. 9.5 years, p < 0.001). COVID-19 was more severe in patients with pre-COVID-CAD, with a higher hospitalization rate (50.2% vs. 37.8%, p = 0.012) and more frequent moderate cases during the acute phase (58.7% vs. 45.9%, p < 0.009). Patients with pre-COVID-CAD also had a higher prevalence of prior myocardial infarction (51.0% vs. 26.7%, p < 0.001) and hemodynamically significant coronary artery lesions (86.2% vs. 67.6%, p < 0.001). Conversely, normal coronary arteries were more often observed in patients with post-COVID-CAD (8.5% vs. 7.2%, p = 0.003), possibly indicating microvascular involvement in post-COVID-CAD pathogenesis. Multifocal atherosclerosis was prevalent in both groups (75.7% vs. 79.8%, p = 0.351). Heart failure with mildly reduced ejection fraction (HFmrEF) was more common in patients with pre-COVID-CAD (10.7% vs. 5.0%, p = 0.034), whereas heart failure with preserved ejection fraction (HFpEF) predominated in patients with post-COVIDCAD (94.9% vs. 89.2%, p = 0.034). Left ventricular ejection fraction and glomerular filtration rate were significantly lower in patients with pre-COVID-CAD (60% vs. 62%, p = 0.007; 63.0 vs. 67.5 mL/min/1.73 m², p < 0.001, respectively). Laboratory indicators such as triglycerides, Lp(a), apoB, uric acid, and cystatin C were significantly elevated in patients with pre-COVID-CAD (p < 0.05). Multivariate analysis identified the following significant predictors of CAD progression in the post-COVID period: angina duration > 2.5 years, BMI > 29.66 kg/m², a history of moderate COVID-19, Lp(a) > 317.6 mg/dL, and NT-proBNP > 161.04 pg/mL. Conclusion. The timing of CAD onset in relation to COVID-19 significantly influences the disease course, emphasizing the need for a differentiated management strategy in post-COVID patients to predict CAD progression

Fundamental and Clinical MedicineVol. 10(2)
Novosibirsk State Medical University (RU), Institute of Computational Mathematics and Mathematical Geophysics (RU)
Openalex Percentile: Top 76%
Long-Term Effects of COVID-19
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.