Role of the coronary and non-coronary cardiovascular findings on non-cardiac gated thoracic CT in predicting mortality in SARS-CoV-2 infection
Özet
Background: The potential effects of cardiovascular comorbidities on the clinical outcomes in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection remain unclear. Identification of the coronary and non-coronary cardiovascular findings may help to stratify the patients' prognosis. Therefore, we aimed to evaluate the prognostic impact of the coronary and the non-coronary cardiovascular findings in SARS-CoV-2 patients. Methods: We studied a total of 594 SARS-CoV-2 patients who were hospitalized and performed a non-cardiac gated thoracic computed tomography. Two blinded radiologists assessed the coronary artery calcification segment involvement score (CACSIS) and non-coronary atherosclerosis cardiovascular findings (NCACVF). The baseline characteristics of the patients and CT findings were evaluated according to survival status. Logistic regression analyses were performed to identify the independent predictors of mortality. Results: At a mean follow-up of 8 (4–12.5) days, 44 deaths occurred (7.4%). Compared to survivors, non-survivors had increased CACSIS [27.3% (CACSIS = 0) vs 25% (CACSIS 1–5) vs 47.7% (CACSIS >5), p < 0.001]. Similarly, on NCACVF, non-survivors had much more major findings compared to survivors (29.5% vs. 2.7%, respectively, p < 0.001). At multivariable analysis, age (p = 0.009), creatinine (p < 0.001), hs-cTnI (p = 0.004) and NCACVF (HR 1.789; 95% CI 1.053–3.037; p = 0.031) maintained a significant independent association with in-hospital mortality. Conclusion: Our study shows that coronary and non-coronary cardiovascular findings on non-cardiac gated thoracic CT may help to predict mortality in patients with SARS-CoV-2 infection. © 2022 Elsevier Inc.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Celik, Aziz Inan | |
| dc.contributor.author | Bezgin, Tahir | |
| dc.contributor.author | Baytugan, Nart Zafer | |
| dc.contributor.author | Coskun, Resit | |
| dc.contributor.author | Karaaslan, Muhammet Bugra | |
| dc.contributor.author | Cagdas, Metin | |
| dc.date.accessioned | 2026-10-18T20:27:29.509639386Z | |
| dc.date.available | 2026-10-18T20:27:29.509639386Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Background: The potential effects of cardiovascular comorbidities on the clinical outcomes in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection remain unclear. Identification of the coronary and non-coronary cardiovascular findings may help to stratify the patients' prognosis. Therefore, we aimed to evaluate the prognostic impact of the coronary and the non-coronary cardiovascular findings in SARS-CoV-2 patients. Methods: We studied a total of 594 SARS-CoV-2 patients who were hospitalized and performed a non-cardiac gated thoracic computed tomography. Two blinded radiologists assessed the coronary artery calcification segment involvement score (CACSIS) and non-coronary atherosclerosis cardiovascular findings (NCACVF). The baseline characteristics of the patients and CT findings were evaluated according to survival status. Logistic regression analyses were performed to identify the independent predictors of mortality. Results: At a mean follow-up of 8 (4–12.5) days, 44 deaths occurred (7.4%). Compared to survivors, non-survivors had increased CACSIS [27.3% (CACSIS = 0) vs 25% (CACSIS 1–5) vs 47.7% (CACSIS >5), p < 0.001]. Similarly, on NCACVF, non-survivors had much more major findings compared to survivors (29.5% vs. 2.7%, respectively, p < 0.001). At multivariable analysis, age (p = 0.009), creatinine (p < 0.001), hs-cTnI (p = 0.004) and NCACVF (HR 1.789; 95% CI 1.053–3.037; p = 0.031) maintained a significant independent association with in-hospital mortality. Conclusion: Our study shows that coronary and non-coronary cardiovascular findings on non-cardiac gated thoracic CT may help to predict mortality in patients with SARS-CoV-2 infection. © 2022 Elsevier Inc. | |
| dc.identifier.doi | 10.1016/j.clinimag.2022.06.002 | |
| dc.identifier.eissn | 1873-4499 | |
| dc.identifier.endpage | 54 | |
| dc.identifier.issn | 0899-7071 | |
| dc.identifier.pmcid | PMC9183243 | |
| dc.identifier.pmid | 35700554 | |
| dc.identifier.scopus | 2-s2.0-85132363052 | |
| dc.identifier.startpage | 49 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/12612 | |
| dc.identifier.volume | 89 | |
| dc.identifier.wos | WOS:000811973400005 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Inc. | |
| dc.relation.ispartof | Clinical Imaging | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Coronary artery calcification | |
| dc.subject | Mortality | |
| dc.subject | Non-coronary atherosclerosis cardiovascular findings | |
| dc.subject | SARS-CoV-2 infection | |
| dc.subject | Calcinosis | |
| dc.subject | Coronary Artery Disease | |
| dc.subject | COVID-19 | |
| dc.subject | Humans | |
| dc.subject | Retrospective Studies | |
| dc.subject | SARS-CoV-2 | |
| dc.subject | Tomography, X-Ray Computed | |
| dc.subject | Biomineralization | |
| dc.subject | Bone | |
| dc.subject | Computerized tomography | |
| dc.subject | Diagnosis | |
| dc.subject | Diseases | |
| dc.subject | Heart | |
| dc.subject | Regression analysis | |
| dc.subject | creatinine | |
| dc.subject | Clinical outcome | |
| dc.subject | Comorbidities | |
| dc.subject | Logistic regression analysis | |
| dc.subject | Non-coronary atherosclerose cardiovascular finding | |
| dc.subject | Patient prognosis | |
| dc.subject | Potential effects | |
| dc.subject | Severe acute respiratory syndrome coronavirus-2 infection | |
| dc.subject | Thoracic CT | |
| dc.subject | adult | |
| dc.subject | age | |
| dc.subject | aged | |
| dc.title | Role of the coronary and non-coronary cardiovascular findings on non-cardiac gated thoracic CT in predicting mortality in SARS-CoV-2 infection | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 2 | |
| rdl.citation.wos | 2 | |
| rdl.department | Department of Cardiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey. | |
| rdl.oa.status | green | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.source.index | PUBMED | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
