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. 2021 Jan 4;16(6):1451–1456. doi: 10.1007/s11739-020-02578-8

Clinical and electrocardiographic characteristics at admission of COVID-19/SARS-CoV2 pneumonia infection

Andrea Denegri 1,, Giuseppe Pezzuto 2, Matteo D’Arienzo 2, Marianna Morelli 2, Fulvio Savorani 2, Carlo G Cappello 1, Antonio Luciani 2, Giuseppe Boriani 1
PMCID: PMC7781180  PMID: 33398608

Abstract

Background

The aim of the present study was to compare clinical and electrocardiographic characteristics of patients with COVID-19 pneumonia in Modena, Emilia Romagna, Italy.

Methods

Patients admitted to the emergency department for suspected COVID-19 pneumonia from March the 16th to April the 15th were enrolled in the study. COVID-19 pneumonia was confirmed by positive nasopharyngeal swab. Primary endpoint was 30-day mortality.

Results

201 patients were diagnosed with COVID-19 pneumonia. Compared to survivors, patients who died were older (79.7 ± 10.8 vs 65.6 ± 14.1, p < 0.001), with a more complex cardiovascular history, including coronary artery disease (CAD, 33.3% vs 13.3%, p = 0.004), atrial fibrillation (23.8 vs 8.8, p = 0.011) and chronic kidney disease (CKD 35.7% vs 7.0%, p < 0.001). 30-day mortality was 20,9% in these patients; atrial fibrillation (OR 12.74, 95% CI 3.65–44.48, p < 0.001), ST-segment depression (OR 5.30, 95% CI 1.50–18.81, p = 0.010) and QTc-interval prolongation (OR 3.17, 95% CI 1.24–8.10, p = 0.016) at ECG admission were associated to an increased mortality risk. On the contrary, sinus rhythm (OR 0.08, 95% CI 0.02–0.27, p < 0.001) and low-molecular weight heparin (LMWH) administration (OR 0.08, 95% CI 0.02–0.29, p < 0.001) were related to reduced mortality. At multivariate analysis, after adjustment for age, sex, diabetes, CAD, and MCA admission, sinus rhythm (HR 2.7, CI 95% 1.1–7.0, p = 0.038) and LMWH (HR 8.5, 95% CI 2.0–36.6, p = 0.004) were confirmed to be independent predictors of increased survival.

Conclusion

Sinus rhythm at ECG admission in COVID-19 pneumonia patients was associated with greater survival as well as LMWH administration, which conferred an overall better outcome.

Keywords: COVD19, SARS/CoV2, ECG, Cardiovascular disease, Mortality

Introduction

Coronavirus disease (COVID-19) with Severe Acute Respiratory Syndrome (SARS) due to a novel Coronavirus (CoV-2) has rapidly spread worldwide; as of today September the 20th, World Health Organization has declared 30.6 millions confirmed cases of COVID-19, including 950.000 deaths [1]. COVID-19 pandemic outbroke in our regions at the end of Februry, and the majority of cases were registered in northern Italy, with a significant impact on cardiovascular hospitalization rate [2]. Clinical manifestations of infection are characterized by fever, cough and dyspnea, with severe case of infection and intensive care unit (ICU) admission up to 15% and 5% of case, respectively [3]. It is well known that COVID-19 may affect the cardiovascular system and several studies have described myocarditis, acute coronary syndrome or heart failure as clinical manifestation of the disease [4]. In this regard, electrocardiography (ECG) may be useful to discern acute myocardial injury or rhythm alterations in COVID-19 patients. ECG characteristics in COVID-19 pneumonia have been already described in previous studies, but their relations to outcomes are still debated [57]. The aim of the present study was, indeed, to explore ECG abnormalities at admission in all-comer COVID-19 patients admitted to the Emergency Department of Modena University Hospital.

Methods

All-comer patients admitted to the Emergency Department of Modena University Hospital with suspected COVID-19 pneumonia from March the 16th to April the 15th 2020 were enrolled in the study. All patients with typical respiratory symptoms have been diagnosed with COVID-19 infection by positive nasopharyngeal swab and typical radiological features at chest X-ray. Clinical data, including outcome, were extracted from medical records. Venous and arterial blood samples for blood gas analysis were collected at the time of hospitalization and there after based on clinical indication. 12-lead ECG with 25 mm/s and 1 mV/cm calibration and 0.05–150 Hz filter setting. ECG traces were recorded and analyzed off-line. The following ECG parameters were considered: heart rate (HR), presence of ST-T abnormalities and corrected QT interval (ms), this latter measured as the time between the start of Q wave and the end of the T wave, corrected by HR according to Bazett’s formula. Rhythm and conduction alterations were also considered.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation (SD), while categorical data were expressed as absolute values and proportions. Variables were compared between patient survivors and non-survivors at 30 day using the Fisher exact test for categorical variables, and the t test or the Mann–Whitney U test, as appropriate, for continuous variables. Survival curves were plotted using the Kaplan–Meier method with log-rank test and COX-regression model was applied. Analyses were performed with SPSS, Statistical Package for Social Science) software (v26, SPSS Inc., Chicago, IL, USA). For all the statistical analyses, p < 0.05 was considered significant.

Results

Patients baseline characteristics are resumed in Table 1. Mean age was 68.5 ± 14.7 years; women represented 35.8% of the study population. Fever (92.5%) was the most prevalent symptom at admission; dyspnea (68.7%), cough (49.8%) and gastrointestinal symptoms (19.4%) were also detected although in lower percentage. Only six patients have complained chest pain. Vital parameter measurement at admission revealed a systolic blood pressure of 132.5 ± 21.9 mmHg, heart rate (HR) 91.1 ± 17.0 bpm, respiratory rate (RR) 21.3 ± 7.5 apm and SO2 92.7 ± 4.6%. Hypertension (56.2%) was the most prevalent comorbidity. Diabetes, coronary artery disease (CAD), chronic kidney disease (CKD) and history of atrial fibrillation (AF) were present in 18.4, 17.4, 12.9 and 11.9% of patients respectively; of these latter, only 42% were already on anticoagulant treatment. Baseline ECG features (Table 2) were characterized by sinus rhythm (63.7%) in the vast majority of cases. ST-T abnormalities accounted for 15.9% of patients, atrial fibrillation for 7.0%; QTc interval was 449.7 ± 29.5 ms at admission. Cardiovascular (CV) comorbidities did not differ in patients with or without ECG alterations. Chronic therapy with antiplatelet therapy or anticoagulant has been found in 22.9% and 8.9% of cases. Intensive care unit admission was necessary in 15.9% of study population; seven patients (3.5%) underwent cardio-pulmonary resuscitation (Fig. 1). Most of the patients were admitted to internal medicine (IM, 47.3%), while another consistent part (31.3%) were treated in medical critical area (MCA, Fig. 2).

Table 1.

Baseline characteristics

Dead (n = 42) Alive (n = 159) p
Age 79.7 ± 10.8 65.6 ± 14.1 < 0.001
Female sex 40.5 34.6 0.297
Hypertension 64.3 54.4 0.166
Diabetes 26.2 16.5 0.113
Dyslipidemia 16.7 18.4 0.501
COPD 4.9 7.0 0.475
Smoking 4.8 5.7 0.583
CAD 33.3 13.3 0.004
Atrial fibrillation history 23.8 8.8 0.011
PAD 11.9 7.0 0.225
CKD 35.7 7.0 < 0.001
Cancer 16.7 8.9 0.123
Fever 95.1 93.0 0.475
Cough 42.9 51.9 0.193
Dyspnea 81.0 66.2 0.047
RR 23.3 ± 4.9 20.7 ± 8.0 0.001
HR 90.3 ± 18.2 91.3 ± 16.6 0.221
SO2 91.3 ± 5.6 93.1 ± 4.2 0.057
SBP 132.4 ± 23.4 132.5 ± 21.4 0.860
DBP 80.3 ± 21.3 75.6 ± 10.1 0.175
MCA 28.8 32.6 0.407
LMWH 7.5 48.7 < 0.001

COPD, chronic obstructive pulmonary disease; CAD, coronary artery disease; PAD, peripheral artery disease; CKD, chronic kidney disease; RR, respiratory rate; HR, heart rate; SO2, oxygen saturation; SBP, systolic blood pressure; DBP, diastolic blood pressure; MCA, medical critical area; LMWH, low molecular weight heparin

Table 2.

Baseline ECG characteristics

Dead (n = 42) Alive (n = 159) p
Sinus rhythm 16.4 83.6 < 0.001
AF 32.3 3.6 < 0.001
AVBI 3.2 5.4 0.524
RBBB 16.1 9.9 0.250
LBBB 19.4 9.0 0.102
ST-elevation 3.3 1.8 0.518
ST-depression 20.0 4.5 0.012
T wave inversion 3.3 15.3 0.066
Prolonged QTc 75.0 48.6 0.010
QTc 466.2 ± 23.6 445.4 ± 29.4  < 0.001

AF, atrial fibrillation; AVBI, atrio-ventricular block I; RBBB, right bundle branch block; LBBB, left bundle branch block

Fig. 1.

Fig. 1

Support and treatment of COVID19 patients. MCA medical critical area, CPR cardio-pulmonary resuscitation, LMWH low- molecular weight heparin

Fig. 2.

Fig. 2

Destination of COVID-19 patients after admission to the Emergency Department; IM, internal medicine; MCA, medical critical area; ID, infectious diseases; ICU, intensive care unit

30-day overall mortality, provided by electronic medical record, was 20.9%. Compared to survivors, patients who died were older (79.7 ± 10.8 vs 65.6 ± 14.1, p < 0.001), with a more complex cardiovascular history, including CAD (33.3% vs 13.3%, p = 0.004), AF (23.8 vs 8.8, p = 0.011) and CKD (CKD 35.7% vs 7.0%, p < 0.001). AF (OR 12.74, 95% CI 3.65–44.48, p < 0.001), ST-segment depression (OR 5.30, 95% CI 1.50–18.81, p = 0.010) and QTc-interval prolongation (OR 3.17, 95% CI 1.24–8.10, p = 0.016) at ECG admission were also associated to an increased mortality risk. On the contrary, sinus rhythm (OR 0.08, 95% CI 0.02–0.27, p < 0.001) and LMWH administration at admission (OR 0.08, 95% CI 0.02–0.29, p < 0.001) were associated with better survival. Laboratory parameters (Table 3) did not differ between the two groups, except for baseline TnI (62.7 ± 56.4 vs 21.0 ± 22.3, p < 0.001).

Table 3.

Laboratory parameters at admission

Dead (n = 42) Alive (n = 159) p
TnI 62.7 ± 56.4 21.0 ± 22.3 < 0.001
WBC 7.8 ± 3.8 6.8 ± 3.6 0.102
N/L ratio* 11.6 ± 8.9 8.0 ± 5.2 0.018
CRP 10.9 ± 8.0 9.9 ± 9.9 0.283
LDH 1089.3 ± 1821.7 613.9 ± 328.2 0.010

TnI, troponin I; WBC, white blood cells; N/L, neutrophil to lymphocyte; CRP, C-reactive protein; LDH, lactate dehydrogenase

At multivariate analysis, after adjustment for age, sex, diabetes, CAD, resuscitation and MCA admission, sinus rhythm (HR 2.7, CI 95% 1.1–7.0, p = 0.038) and LMWH (HR 8.5, 95% CI 2.0–36.6, p = 0.004) were confirmed to be independent predictors of increased survival (Fig. 3).

Fig. 3.

Fig. 3

Cumulative survival of sinus rhythm patients (a) and LWMH administration (b)

Discussion

This is the first study describing clinical and ECG characteristics and 30-day outcome in all-comer patients with a history of COVID-19 pneumonia. In this retrospective real-world cohort of COVID-19 patients we confirmed a high short-term mortality, particularly in patients with a more complex CV history and we obtained the following novel key findings: (1) ECG abnormalities at admission are quite common in COVID-19 infection and related to a higher risk of mortality; (2) sinus rhythm at admission has been associated with a lower mortality even after adjustment for confounding factors such as age, sex, diabetes, CAD, ICU and resuscitation; (3) LMWH has been related, as already shown in other studies [811], to lower mortality and furtherly improved survival particularly in patients with sinus rhythm at ECG admission; (4) myocardial biomarkers resulted significantly higher in non-survivors compared to survivors, as expression of a more severe disease with multi-organ failure manifestation.

Poor clinical outcomes in COVID-19 pneumonia patients may be partially explained by underlying severe comorbidities, such as pre-existing CV-conditions [12]. The cytokine storm with hyperinflammation, typical of COVID-19 infection, leads to multiorgan failure that seems to be the main responsible of high-mortality in this setting [13]. Inflammatory markers are, indeed, elevated in COVID-19 disease and recent acquisitions, suggest a primary role of the endothelium in mediating rheological response between blood compartment and tissues [14].

ECG alterations have been described during hospitalization for COVID-19, reflecting several CV complications ranging from ST-T changes to acute coronary syndrome (ACS), acute peri-myocarditis, pulmonary embolism or rhythm disorders [1519]. Although these findings confirm that ECG changes during hospitalization may express a wide broad of CV complications with a potential significant clinical impact on outcome, our results highlighted the importance of ECG abnormalities at admission to stratify mortality risk for COVID-19 patients, deserving a closer monitoring and dedicated therapies.

As of today, arrhythmic manifestation associated with COVID-19 have been only limited described. Atrial fibrillation seems to be the most reported arrhythmia in COVID-19 patients, with a prevalence up to 50% in those needing intensive care [20]. COVID-19 patients affected by more severe infection with ICU admission have been described to develop atrial arrhythmias, as recently reported by University of Alabama at Brimingham [21].

T-wave inversion as well as repolarization abnormalities have been associated to increased risk of mortality in the general population and described in COVID-19 together with myocardial biomarkers increase [22, 23], confirmed also at univariate analysis in our study.

ST-segment elevation, described as an important CV complication of COVID19 infection [24], was rare at admission, but promptly treated with modified diagnostic and treatment algorithm, even a reduction of hospitalization for myocardial infarction has been registered in the COVID-19 era [25, 26].

Right bundle branch block (RBBB) has been described in COVID-19 patients as the expected result of an acute right ventricular dysfunction secondary to respiratory failure and associated with worse survival [27].

QT interval prolongation is a dreaded complication of COVID-19 patients and has been described particularly in association with treatment with hydroxychloroquine/azithromycin [28]. In our cohort, a not negligible portion of patients (36.8%) presented a prolonged QTc at admission, underscoring the potential benefit of a greater attention to ECG abnormalities, which may otherwise be overlooked in favor of other less common findings, prior to establishing potential harmful therapeutic regimens. Unfortunately, data regarding drugs administration during hospitalization were not available for our analysis because of the study design, that was focused on patients admission.

Concave ST elevation and PR depression with reciprocal ST depression and PR elevation in avR as expression of acute pericarditis have been also described in COVID-19 patients as a common manifestation [29]. In our analysis, we did not detect, indeed, a significant number of acute pericarditis cases.

In-hospital treatment with anticoagulant therapy has been associated to better prognosis in severe COVID-19 patients, particularly in case of markedly elevated D-dimer [8]. Thrombo-embolic events in COVID-19 patients are not uncommon and probably favored by the exaggerated inflammatory response typical of a considerable portion of COVID-19 infection [30]. Alterations in coagulation parameters, with markedly elevated D-dimer have been associated with worse outcomes and decreased survival in COVID-19 patients [31]. Although anticoagulation was not routinely performed in all patients, it is conceivable that a wider use of anticoagulation at admission, at least at prophylactic dosage, may be related to better outcomes in COVID-19 [8].

Increased levels of cardiac biomarkers, particularly troponin, has been described in a considerable portion of COVID-19 patients, as expression of myocardial involvement in multi-organ failure characterized of COVID-19 infection and associated with increased mortality [32]. Troponin seem to be a useful marker for prognosis of COVID-19 patients, and has been associated with favorable outcome even in patients with previous CV disease [24].

Mortality in our cohort was higher than reported in China, but in line with data from other regions of Italy [3, 8, 33]. Several conditions (i.e. history of AF, CAD or CKD), laboratory abnormalities (i.e. increased TnI at admission), instrumental alterations (i.e. ECG abnormalities) and of course older age have been associated with poor outcomes. Older age has been consistently shown to be a major risk factor for poor outcomes [34]. Hypertension and CAD are usually more frequent in non-survivors and hypertension has been related to a higher rate of acute respiratory distress syndrome (ARDS) [35].

The retrospective characteristic of the study and patient selection may have influenced our results, but the strength of our work lies in describing a real-world cohort of all-comer patients admitted to the emergency department for suspected COVID-19 infection, therefore confirmed by routine analyses. Thus, the primary cause of hospitalization had no relation to the CV background presentation of our patients, not affecting, consequently, ECG characteristics. Our data underline the clinical impact of ECG abnormalities at admission on outcome in COVID-19 patients.

Limitations

The main limitation of our study is the relatively small size of study population, that limited the statistical power of our analyses. Moreover, given the logistical limitation at the onset of the pandemic infection, some laboratory data and ECG at admission were not collected in all patients. Echocardiography was not routine performed in these patients. The study was designed considering COVID-19 patients at admission; thus data regarding drugs administration or modality of data are lacking. Although data from larger multicenter registries are desirable, are data represent a real-world picture of COVID-19 outbreak in Italy, in one of the most severely affected area as Emilia-Romagna.

Conclusion

Sinus rhythm at ECG admission in COVID-19 infection was associated with better survival, furtherly improved by LMWH administration, which conferred, moreover, an overall better outcome. Our findings highlight the potential prognostic role of ECG at admission, before respiratory failure manifestations, on outcome. Better prevention of COVID-19 and possibly better evidence-based treatment of COVID-19 is warranted in these patients.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no potential conflict of interest.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

None.

Footnotes

Publisher's Note

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References

  • 1.https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports-178
  • 2.De Filippo O, D'Ascenzo F, Angelini F, et al. Reduced rate of hospital admissions for ACS during Covid-19 outbreak in Northern Italy. N Engl J Med. 2020;383(1):88–89. doi: 10.1056/NEJMc2009166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, China Medical Treatment Expert Group for COVID-19 et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720. doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Welt FGP, Shah PB, Aronow HD, Bortnick AE, Henry TD, Sherwood MW, American College of Cardiology’s Interventional Council and the Society for Cardiovascular Angiography and Interventions et al. Catheterization laboratory considerations during the coronavirus (COVID-19) pandemic: from the ACC’s Interventional Council and SCAI. J Am Coll Cardiol. 2020;75:2372–2375. doi: 10.1016/j.jacc.2020.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Li Y, Liu T, Tse G, Wu M, Jiang J, Liu M, Tao L. Electrocardiograhic characteristics in patients with coronavirus infection: a single-center observational study. Ann Noninvasive Electrocardiol. 2020;20:e12805. doi: 10.1111/anec.12805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bertini M, Ferrari R, Guardigli G, Malagù M, Vitali F, Zucchetti O, D'Aniello E, Volta CA, Cimaglia P, Piovaccari G, Corzani A, Galvani M, Ortolani P, Rubboli A, Tortorici G, Casella G, Sassone B, Navazio A, Rossi L, Aschieri D, Rapezzi C. Electrocardiographic features of 431 consecutive, critically ill COVID-19 patients: an insight into the mechanisms of cardiac involvement. Europace. 2020;18:euaa258. doi: 10.1093/europace/euaa258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Angeli F, Spanevello A, De Ponti R, Visca D, Marazzato J, Palmiotto G, et al. Electrocardiographic features of patients with COVID-19 pneumonia. Eur J Intern Med. 2020 doi: 10.1016/j.ejim.2020.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tang N, Bai H, Chen X, Gong J, Li D, Sun Z. Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy. J Thromb Haemost. 2020;18(5):1094–1099. doi: 10.1111/jth.14817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mattioli M, Benfaremo D, Mancini M, Mucci L, Mainquà P, Polenta A, et al. Safety of intermediate dose of low molecular weight heparin in COVID-19 patients. J Thromb Thrombolysis. 2020;13:1–7. doi: 10.1007/s11239-020-02243-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Paolisso P, Bergamaschi L, D'Angelo EC, Donati F, Giannella M, Tedeschi S, et al. Preliminary experience with low molecular weight heparin strategy in COVID-19 patients. Front Pharmacol. 2020;6(11):1124. doi: 10.3389/fphar.2020.01124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Desai A, Voza G, Paiardi S, Teofilo FI, Caltagirone G, Pons MR, Humanitas COVID-19 task force et al. The role of anti-hypertensive treatment, comorbidities and early introduction of LMWH in the setting of COVID-19: A retrospective, observational study in Northern Italy. Int J Cardiol. 2020 doi: 10.1016/j.ijcard.2020.09.062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Inciardi RM, Adamo M, Lupi L, Cani DS, Di Pasquale M, Tomasoni D, Italia L, Zaccone G, Tedino C, Fabbricatore D, Curnis A, Faggiano P, Gorga E, Lombardi CM, Milesi G, Vizzardi E, Volpini M, Nodari S, Specchia C, Maroldi R, Bezzi M, Metra M. Characteristics and outcomes of patients hospitalized for COVID-19 and cardiac disease in Northern Italy. Eur Heart J. 2020;41(19):1821–1829. doi: 10.1093/eurheartj/ehaa388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ, Healh Across Speciality Collaboration UK COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395:1033–1034. doi: 10.1016/S0140-6736(20)30628-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Libby P, Lüscher T. COVID-19 is, in the end, an endothelial disease. Eur Heart J. 2020;41(32):3038–3044. doi: 10.1093/eurheartj/ehaa623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Mountantonakis SE, Saleh M, Coleman K, Kuvin J, Singh V, Jauhar R, et al. Out-of-hospital cardiac arrest and acute coronary syndrome hospitalizations during the COVID-19 surge. J Am Coll Cardiol. 2020;S0735–1097(20):35964–35967. doi: 10.1016/j.jacc.2020.07.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Doyen D, Moceri P, Ducreux D, Dellamonica J. Myocarditis in a patient with COVID-19: a cause of raised troponin and ECG changes. Lancet. 2020;395(10235):1516. doi: 10.1016/S0140-6736(20)30912-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Clerkin KJ, Fried JA, Raikhelkar J, Sayer G, Griffin JM, Masoumi A, et al. Coronarvirus disease 2019 (COVID-19) and cardiovascular disease. Circulation. 2020;141(20):1648–1655. doi: 10.1161/CIRCULATIONAHA.120.046941. [DOI] [PubMed] [Google Scholar]
  • 18.Casey K, Iteen A, Nicolini R, Auten J. COVID-19 pneumonia with hemoptysis: acute segmental pulmonary emboli associated with novel coronavirus infection. Am J Emerg Med. 2020;38(7):1544.e1–1544.e3. doi: 10.1016/j.ajem.2020.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kochav SM, Coromilas E, Nalbandian A, Ranard LS, Gupta A, Chung MK, et al. Cardiac arrhythmias in COVID-19 infection. Circ Arrhythm Electrophysiol. 2020;13(6):e008719. doi: 10.1161/CIRCEP.120.008719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 hospitalized patients With 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061–1069. doi: 10.1001/jama.2020.1585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bhatla A, Mayer MM, Adusumalli S, Hyman MC, Oh E, Tierney A, et al. COVID-19 and cardiac arrhythmias. Heart Rhythm. 2020;S1547–5271(20):30594–30604. doi: 10.1016/j.hrthm.2020.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Daviglus ML, Liao Y, Greenland P, Dyer AR, Liu K, Xie X. Association of nonspecific minor ST-T abnormalities with cardiovascular mortality: the Chicago Western Electric Study. JAMA. 1999;282:530–536. doi: 10.1001/jama.281.6.530. [DOI] [PubMed] [Google Scholar]
  • 23.Guo T, Fan Y, Chen M, Wu X, Zhang L, He T. Cardiovascular implications of fatal outcomes of patients with coronavirus disease 2019 (COVID-19) JAMA Cardiol. 2020;5(7):1–8. doi: 10.1001/jamacardio.2020.1017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bangalore S, Sharma A, Slotwiner A, Yatskar L, Harari R, Shah B. ST-segment elevation in patients with covid-19—a case series. N Engl J Med. 2020;382:2478–2480. doi: 10.1056/NEJMc2009020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chieffo A, Stefanini GG, Price S, Barbato E, Tarantini G, Karam N, et al. EAPCI position statement on invasive management of acute coronary syndromes during the COVID-19 pandemic. Eur Heart J. 2020;41(19):1839–1851. doi: 10.1093/eurheartj/ehaa381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.De Rosa S, Spaccarotella C, Basso C, Calabrò MP, Curcio A, Filardi PP, et al. Reduction of hospitalizations for myocardial infarction in Italy in the COVID-19 era. Società Italiana di Cardiologia and the CCU Academy investigators group. Eur Heart J. 2020;41(22):2083–2088. doi: 10.1093/eurheartj/ehaa409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.McCullough SA, Goyal P, Krishnan U, Choi JJ, Safford MM, Okin PM. Electrocardiographic findings in coronavirus disease-19: insights on mortality and underlying myocardial processes. Card Fail. 2020;26(7):626–632. doi: 10.1016/j.cardfail.2020.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chorin E, Wadhwani L, Magnani S, Dai M, Shulman E, Nadeau-Routhier C, et al. QT interval prolongation and torsade de pointes in patients with COVID-19 treated with hydroxychloroquine/azithromycin. Heart Rhythm. 2020;S1547–5271(20):30435–30445. doi: 10.1016/j.hrthm.2020.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fried JA, Ramasubbu K, Bhatt R, Topkara VK, Clerkin KJ, Horn E, et al. The variety of cardiovascular presentations of COVID-19. Circulation. 2020;141(23):1930–1936. doi: 10.1161/CIRCULATIONAHA.120.047164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Glynn RJ, Ridker PM. Inflammation, venous thromboembolism, and what we can do about it. Eur Heart J. 2018;39:3615–3617. doi: 10.1093/eurheartj/ehx251. [DOI] [PubMed] [Google Scholar]
  • 31.Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost. 2020;18:844–847. doi: 10.1111/jth.14768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Tresalvi G, Vincenzi M, Calabretta D, Biasco L, Pedrazzini G, Winterton D. Elevated troponin in patients with coronavirus disease 2019: possible mechanisms. Card Fail. 2020;26(6):470–475. doi: 10.1016/j.cardfail.2020.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chen N, Zhou M, Dong X, Qu J, Gong F, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507–513. doi: 10.1016/S0140-6736(20)30211-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–1062. doi: 10.1016/S0140-6736(20)30566-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med. 2020 doi: 10.1001/jamainternmed.2020.0994. [DOI] [PMC free article] [PubMed] [Google Scholar]

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