{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T17:30:51Z","timestamp":1793640651566,"version":"4.5.1"},"reference-count":36,"publisher":null,"issue":"12","license":[{"start":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T00:00:00Z","timestamp":1672444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/lib.ossn.ru\/jour\/about\/editorialPolicies#openAccessPolicy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Kardiologiia"],"abstract":"<jats:p>\n                    <jats:italic>Aim\u00a0\u00a0\u00a0\u00a0\u00a0<\/jats:italic>\n                    To determine the effect of major electrocardiographic (ECG) parameters on the prognosis of patients with COVID-19.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Material and methods\u00a0<\/jats:italic>\n                    One of systemic manifestations of COVID-19 is heart injury. ECG is the most simple and available method for diagnosing the heart injury, which influences the therapeutic approach. This study included 174 hospitalized patients with COVID-19. Major ECG parameters recorded on admission and their changes before the discharge from the hospital or death of the patient, were analyzed, and the effect of each parameter on the in-hospital prognosis was determined. Results were compared with the left ventricular ejection fraction (LV EF), laboratory data, and results of multispiral computed tomography (MSCT) of the lungs.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Results<\/jats:italic>\n                    ECG data differed on admission and their changes differed for deceased and discharged patients. Of special interest was the effect of the QRS complex duration at baseline and at the end of treatment on the in-hospital survival and mortality rate. The Cox regression analysis showed that the QRS complex duration (relative risk (RR) 2.07, 95% confidence interval (CI): 1.17\u20133.66; \u0440=0.01), MSCT data (RR, 1.54; 95\u200a% CI: 1.14\u20132.092; \u0440=0.005), and glomerular filtration rate (GFR) (RR, 0.98; 95\u200a% CI: 0.96\u20130.99; \u0440=0.001) had the highest predictive significance. In further comparison of these three indexes, the QRS duration and GFR retained their predictive significance, and a ROC analysis showed that the cut-off QRS complex duration was 125\u2008ms (\u0440=0.001). Patients who developed left bundle branch block (LBBB) in the course of disease also had an unfavorable prognosis compared to other intraventricular conduction disorders (\u0440=0.038). The presence of LBBB was associated with reduced LV EF (\u0440=0.0078). The presence of atrial fibrillation (AF) significantly predetermines a worse outcome both at the start (\u0440=0.011) and at the end of observation (\u0440=0.034). A higher mortality was observed for the group of deceased patients with ST segment deviations, ST elevation (\u0440=0.0059) and ST depression (\u0440=0.028).\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Conclusion\u00a0\u00a0\u00a0\u00a0\u00a0<\/jats:italic>\n                    Thus, the QTc interval elongation, LBBB that developed during the treatment, AF, and increased QRS complex duration are the indicators that determine the in-hospital prognosis of patients with COVID-19. The strongest electrocardiographic predictor for an unfavorable prognosis was the QRS complex duration that allowed stratification of patients to groups of risk.\n                  <\/jats:p>","DOI":"10.18087\/cardio.2022.12.n2260","type":"journal-article","created":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T14:39:30Z","timestamp":1673534370000},"page":"30-37","source":"Crossref","is-referenced-by-count":0,"title":["Electrocardiogram QRS Complex Duration as a Predictor of Hospital Prognosis in Patients With COVID-19"],"prefix":"10.68900","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9176-1889","authenticated-orcid":true,"given":"I. V.","family":"Kovtyukh","sequence":"first","affiliation":[{"name":"Petrovsky Russian Scientific Center of Surgery, Moscow"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0438-8981","authenticated-orcid":true,"given":"A. M.","family":"Baymukanov","sequence":"additional","affiliation":[{"name":"Buyanov Municipal Clinical Hospital, Moscow"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7846-1611","authenticated-orcid":true,"given":"G. E.","family":"Gendlin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1699-0881","authenticated-orcid":true,"given":"I. G.","family":"Nikitin","sequence":"additional","affiliation":[{"name":"Pirogov Russian National Research Medical University, Moscow"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8564-9778","authenticated-orcid":true,"given":"S. N.","family":"Dvornikova","sequence":"additional","affiliation":[{"name":"Petrovsky Russian Scientific Center of Surgery, Moscow"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7356-7273","authenticated-orcid":true,"given":"Olga","family":"Roginko","sequence":"additional","affiliation":[{"name":"Petrovsky Russian Scientific Center of Surgery, Moscow"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":null,"published-online":{"date-parts":[[2022,12,31]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Maulud SQ, Hasan DA, Ali RK, Rashid RF, Saied AA, Dhawan M et al. Deltacron: Apprehending a new phase of the COVID-19 pandemic. International Journal of Surgery. 2022;102:106654. DOI: 10.1016\/j.ijsu.2022.106654","DOI":"10.1016\/j.ijsu.2022.106654"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Rahimi F, Darvishi M, Talebi Bezmin Abadi A. 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