On 11th March 2020 the World Health Organization declared the international spread of the SARS-CoV-2 virus to represent a pandemic.(1World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19 [Internet]. WHO Director-General’s opening remarks at the media briefing on COVID-19. 2020. p. 1. Available from: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020Google Scholar) Thus far more than 160 million cases has been confirmed worldwide with nearly 4.5 million cases of SARS-CoV-2 infection have been confirmed in the UK and with high numbers of patients requiring respiratory support, the outbreak converted the entire UK healthcare system into the Critical Care without walls.(2Johns Hopkins Coronavirus Resource Center. Johns Hopkins University. New Cases of COVID-19 in World Countries [Internet]. Johns Hopkins Coronavirus Resource Center. 2021 [cited 2021 May 23]. Available from: https://coronavirus.jhu.edu/Google Scholar,3GOV.UK. Coronavirus (COVID-19) in the UK [Internet]. Coronavirus (COVID-19) in the UK. 2021 [cited 2021 May 23]. Available from: https://coronavirus.data.gov.uk/details/casesGoogle Scholar) The mortality in patients with COVID varies between countries and healthcare systems and has been reported between 0.1% and 19,6%.(4Johns Hopkins Coronavirus Resource Center. Cases and mortality by country [Internet]. 2021. [cited 2021 May 23]. Available from: https://coronavirus.jhu.edu/data/mortalityGoogle Scholar) Our local Intensive Care Unit (ICU) audit indicates that once the patient requires organ support, the mortality is as high as 30% which is similar to the 25% overall mortality in a recently published systematic review.(5Quah P. Li A. Phua J. Mortality rates of patients with COVID-19 in the intensive care unit: a systematic review of the emerging literature.Crit Care [Internet]. 2020; 24 (Available from:): 285https://doi.org/10.1186/s13054-020-03006-1Google Scholar) There is evidence that the underlying patho-mechanism of COVID-19 is related to hypercoagulable state and endothelial dysfunction which results in pan-vascular events: thrombosis within small and large vessels, resulting in deep vein thrombosis(DVT), pulmonary embolisms, strokes and myocardial infarctions.(6Page EM, Ariëns RAS. Mechanisms of thrombosis and cardiovascular complications in COVID-19. Thromb Res [Internet]. 2021;200:1–8. Available from: https://www.sciencedirect.com/science/article/pii/S0049384821000141Google Scholar) There have been reports of thrombosis within other vascular beds including upper and lower limbs as well as visceral circulation. This is likely to be a result of sepsis-induced coagulopathy (associated with the cytokine storm, not the cytokine storm itself) and viral replication leading to endothelial injury.(7Magro G. Cytokine Storm: Is it the only major death factor in COVID-19 patients? Coagulation role.Med Hypotheses [Internet]. 2020; 142 (Available from): 109829https://doi.org/10.1016/j.mehy.2020.109829Google Scholar, 8Ortega-Paz L. Capodanno D. Montalescot G. Angiolillo D.J. COVID-19 Associated Thrombosis and Coagulopathy: Review of the Pathophysiology and Implications for Antithrombotic Management.J Am Hear Assoc. 2020 Nov; e019650Google Scholar, 9Karna S.T. Panda R. Maurya A.P. Kumari S. Superior Mesenteric Artery Thrombosis in COVID-19 Pneumonia: an Underestimated Diagnosis-First Case Report in Asia.Indian J Surg. 2020 Oct; : 1-3Google Scholar, 10Avila J. Long B. Holladay D. Gottlieb M. Thrombotic complications of COVID-19.Am J Emerg Med. 2021 Jan; 39: 213-218Google Scholar) The incidence of arterial/venous thromboembolism has been recently reported but the rates have been compared with non-COVID-19 patients or historical populations in only a few papers and therefore, we believe that the scale of the problem is not sufficiently defined.(11Smilowitz N.R. Subashchandran V. Yuriditsky E. Horowitz J.M. Reynolds H.R. Hochman J.S. et al.Thrombosis in hospitalized patients with viral respiratory infections versus COVID-19.Am Hear J. 2021 Jan; 231: 93-95Google Scholar,12Etkin Y. Conway A.M. Silpe J. Qato K. Carroccio A. Manvar-Singh P. et al.Acute Arterial Thromboembolism in Patients with COVID-19 in the New York City Area.Ann Vasc Surg. 2021 Jan; 70: 290-294Google Scholar) However, recent reports indicate that the incidence of thromboembolic events in patients with SARS-CoV-2 infection might be higher than expected and would require adjusted thromboprophylaxis.(13Bikdeli B. Talasaz A.H. Rashidi F. Sharif-Kashani B. Farrokhpour M. Bakhshandeh H. et al.Intermediate versus standard-dose prophylactic anticoagulation and statin therapy versus placebo in critically-ill patients with COVID-19: Rationale and design of the INSPIRATION/INSPIRATION-S studies.Thromb Res. 2020 Dec; 196: 382-394Google Scholar, 14Lee E. Krajewski A. Clarke C. O’Sullivan D. Herbst T. Lee S. Arterial and venous thromboembolic complications of COVID-19 detected by CT angiogram and venous duplex ultrasound.Emerg Radiol [Internet]. 2021 Jan; (Available from:): 1-8http://www.ncbi.nlm.nih.gov/pubmed/33428043Google Scholar, 15Nadeem R, Thomas SJ, Fathima Z, Palathinkal AS, Alkilani YE, Dejan EA, et al. Pattern of anticoagulation prescription for patients with Covid-19 acute respiratory distress syndrome admitted to ICU. Does it impact outcome? Hear Lung. 2021;50(1):1–5.Google Scholar) However, thus far there are significant uncertainties regarding prevention and management of thromboembolic events in patients with COVID-19. We considered this project to be a hypothesis generating study. The main objective of was to establish the incidence of acute vascular events and identify potential associations with clinical and demographic factors in a cohort of ICU patients with confirmed, severe SARS-CoV-2 infection. The secondary objectives were to provide a basis necessary for ad hoc adjustment of clinical practice and to highlight areas for potential research studies aiming to optimise thromboprophylaxis and medical management of thromboembolic events. We followed STROBE Statement for cross-sectional studies in preparation of this manuscript.(16von Elm E. Altman D.G. Egger M. Pocock S.J. Gøtzsche P.C. Vandenbroucke J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.Lancet (London, England) [Internet]. 2007 Oct; 370 (7. Available from:): 1453https://www.equator-network.org/reporting-guidelines/strobe/Google Scholar) This was a retrospective, single-centre (University Hospitals Birmingham NHS Foundation Trust; UHB), multi-site cohort study using routinely collected data, conducted within the clinical audit framework (Audit numbers); no intervention was performed, and patients were not contacted outside their routine clinical care. Therefore, a specific ethical approval was not required, and patient consent was not sought in line with guidance from the UK Health Research Authority and UK Policy Framework for Health and Social Care Research. We collated the data from three hospitals in Birmingham Metropolitan area for all consecutive patients admitted to ITU during the peak of COVID-19 pandemic in the UK, between 01/04/2020 and 30/04/2020. We also collected data from the corresponding pre-COVID period in 2019 (01/04/2019 – 30/04/2019) and used it to estimate excess events. Definitions and type of data collected are detailed in the supplementary file. The primary outcome was defined as a composite outcome of acute arterial and venous events, which included: 1) upper and/or lower limb arterial thrombosis or embolus, 2) exacerbation of peripheral arterial occlusive disease (PAOD) with progression to critical limb ischaemia (CLI), 3) stroke or transient ischaemic attack (TIA), 4) visceral malperfusion, 5) thrombosis of AV fistula, 6) venous thrombotic events (DVT); pulmonary embolism (PE), visceral veins thrombosis, thrombophlebitis). The secondary outcome was 30-day mortality. We also studied associations of demographic and clinical factors with the primary and secondary outcome, and temporal changes in the biochemical and clotting parameters. Primary outcome was validated manually by the direct clinical care team members. Cases where the outcome was not certain were verified by senior clinicians. Survival status was verified by cross-referencing local electronic patient record with the NHS-wide mortality database (Primary Care Mortality Database, Spine, NHS Digital) derived from death records from the Office for National Statistics. The statistical analysis was performed in R environment (R version 4.0.3, The R Foundation for Statistical Computing, Vienna, Austria; https://www.r-project.org) using pre-specified data analysis plan. Data characteristics were assessed using dplyr package and data missingness was assessed using naniar package. Missing data were treated by pairwise deletion. Continuous variables were presented as median [interquartile range; IQR] unless stipulated otherwise; categorical data were presented as frequencies (%) with 95% confidence intervals (95%CI) if required. Student’s t-test and Wilcoxon rank-sum test were used to compare continuous data. Pearson’s chi-squared test and Fisher’s exact test with continuity correction were used to analyse categorical data. Haldane-Anscombe correction was used when appropriate. Multi-variate explanatory model was built using purposeful, manual selection of covariates with univariate p<0.1, taking into consideration the quality of the data and clinical judgement. Effect size was presented as odds ratio (OR) with 95%CI and categorised as “small” (OR<1.5), “medium” (1.5=<OR<5.0) and “large” (OR>=5.0). During April 2020 the peak of the pandemic in the UK, 317 patients were treated and discharged (alive or deceased) from ITU at three sites of the University Hospitals Birmingham NHS Foundation Trust. The median age was 56 years [47, 66], and 94 of them (29%) were female. Patients with white Caucasian ethnic background constituted a majority (170; 53.8%) of patients in whom ethnicity was declared (268; 84.5%), followed by Asian (79; 29.55%) and Black (19; 7.1%) ethnic background. Over a half of patients (51.4%) came from the 20% most deprived households, and only 8.9% from the 20% least deprived households in England based on Index of Multiple Deprivations 2019.(17Ministry of Housing C& LG. English indices of deprivation 2019 [Internet]. English indices of deprivation 2019. 2019 [cited 2021 Jun 5]. Available from: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019Google Scholar) Detailed characteristics of comorbid status of patients in the study is shown in <u>Table 1</u>. Hypertension (128/317; 40.4%), diabetes (86/317; 27.1%) and chronic lung disease (46/317; 14.5%) were the most prevalent comorbidities in patients admitted to ITU in April 2020. Smoking status was recorded in 47.5% of patients: 20.7% declared as non-smokers, 24.0% as ex-smokers and 55.3% declared non-smoking status.Table 1Cohort characteristics stratified by YEAR. Comparison on ITU cohorts between March/April 2019 and April 2020. All patients irrespective of COVID-19 status. ACEi – angiotensin converting enzyme inhibitor; aPTT – activated partial thromboplastin time; ARB – angiotensin receptor blocker; IQR – interquartile range; PT – prothrombin time; SD – standard deviation; VTE – venous thrombo-embolism.VariableLevel2019 (n=555)2020 (n=317)p-valueCOVID19StatusGRPNegative555 (100.0)119 (37.5)Positive0 (0.0)198 (62.5)< 0.0001DEATH0455 (82.0)212 (66.9)1100 (18.0)105 (33.1)< 0.0001AGEmedian [iqr]62 [48, 73]56 [47, 66]< 0.0001SEXFemale215 (38.7)94 (29.7)EthnicityMale340 (61.3)223 (70.3)0.008677White400 (81.3)170 (63.4)Asian70 (14.2)79 (29.5)Black22 (4.5)19 (7.1)< 0.0001missing6349IMD_QUINTQ1227 (42.9)161 (51.4)Q2100 (18.9)44 (14.1)Q382 (15.5)46 (14.7)Q467 (12.7)34 (10.9)Q553 (10.0)28 (8.9)0.155293missing264Heightmedian [iqr]170 [161, 177]170 [164, 178]0.023621missing5850Weightmedian [iqr]76 [65, 90]81.2 [70.7, 95.0]< 0.0001missing5551Body Mass Indexmedian [iqr]26.4 [23.4, 30.3]27.8 [24.9, 31.6]0.000230missing6051IHDNo465 (83.8)287 (90.5)Yes90 (16.2)30 (9.5)0.007318Atrial FibrillationNo511 (92.1)295 (93.1)Yes44 (7.9)22 (6.9)0.691055CCFNo519 (93.5)309 (97.5)Yes36 (6.5)8 (2.5)0.015920VTENo520 (93.7)300 (94.6)Yes35 (6.3)17 (5.4)0.676454HypertensionNo354 (63.8)189 (59.6)Yes201 (36.2)128 (40.4)0.251326CVANo523 (94.2)300 (94.6)Yes32 (5.8)17 (5.4)0.923753Diabetes MellitusNo454 (81.8)231 (72.9)Yes101 (18.2)86 (27.1)0.002655CLDNo486 (87.6)271 (85.5)Yes69 (12.4)46 (14.5)0.442156MALIGNANCYNo381 (69.0)281 (88.6)Not confirmed16 (2.9)8 (2.5)Yes155 (28.1)28 (8.8)< 0.0001missing30SMOKINGNon-smoker111 (39.4)83 (55.3)Current smoker94 (33.3)31 (20.7)Ex-smoker77 (27.3)36 (24.0)0.003345missing273167APANo372 (71.3)257 (85.1)Yes150 (28.7)45 (14.9)< 0.0001missing3315DOACNo481 (92.1)276 (91.4)Yes41 (7.9)26 (8.6)0.802775missing3315WARFARINNo498 (95.4)292 (96.7)Yes24 (4.6)10 (3.3)0.475923missing3315STATINNo338 (64.8)212 (70.2)Yes184 (35.2)90 (29.8)0.127838missing3315ACENo375 (71.8)239 (79.1)Yes147 (28.2)63 (20.9)0.025478missing3315Beta BlockerNo411 (78.7)246 (81.5)Yes111 (21.3)56 (18.5)0.397312missing3315SURG_GRPNo163 (29.7)223 (70.3)Yes385 (70.3)94 (29.7)< 0.0001missing70Haematocritmedian [iqr]0.3 [0.3, 0.4]0.4 [0.3, 0.4]< 0.0001missing07Plateletmedian [iqr]210 [155.5, 278.5]242.5 [175.5, 320.0]< 0.0001missing01Activated partial thromboplastin timemedian [iqr]27.4 [25.2, 31.2]30.4 [27.4, 33.4]< 0.0001missing285Prothrombin timemedian [iqr]13.6 [12.5, 15.7]14.4 [13.2, 15.6]0.380160missing641D Dimermedian [iqr]1,136 [ 558, 3,445]874 [ 449, 3,538]0.820550missing530128Neutrophilsmedian [iqr]9.4 [ 5.6, 13.7]8.5 [ 5.9, 11.7]0.041200missing03Lymphocytesmedian [iqr]1 [0.6, 1.6]1 [0.7, 1.6]0.226872missing05Creatininemedian [iqr]79 [ 62, 108]80 [ 62, 115]0.568150missing01Ureamedian [iqr]5.8 [4.1, 8.9]6 [ 4.4, 10.1]0.309157missing02RRT_GRPNo502 (90.5)248 (78.5)Yes53 (9.5)68 (21.5)< 0.0001missing01ABG Lactatemedian [iqr]1.6 [1.1, 2.7]1.4 [1.1, 2.1]0.018191missing42ABG PaO2median [iqr]15.7 [11.1, 24.2]10.5 [ 8.4, 14.6]< 0.0001missing43ABG FiO2median [iqr]0.2 [0.2, 0.4]0.4 [0.2, 0.7]< 0.0001missing43VTE Prophylaxis GroupMechanical18 (3.3)0 (0.0)No69 (12.5)19 (6.1)Treatment0 (0.0)0 (0.0)Yes466 (84.3)295 (93.9)NAmissing23EVENTNo493 (88.8)242 (76.3)Yes62 (11.2)75 (23.7)< 0.0001Arterial Event GroupNo517 (93.2)291 (91.8)Yes38 (6.8)26 (8.2)0.546455DVTGroupNo539 (97.1)297 (93.7)Yes16 (2.9)20 (6.3)0.023249Pulmonary Embolism GroupNo538 (96.9)283 (89.3)Yes17 (3.1)34 (10.7)< 0.0001Arteriovenous Access thrombosis GroupNo549 (98.9)310 (97.8)Yes6 (1.1)7 (2.2)0.302713Abbreviations : IHD: Ischemic Heart Disease, IMD_Quint: Index Of Multiple Deprivation Quintiles, CCF: Congestive Cardiac Failure, VTE: Venous Thromboembolism , DOAC : Direct Oral Anticoagulant, APA: Antiplatelet Agents, BB : Beta Blocker, CVA: Cerebrovascular Accident, CLD: Chronic Lung Disease, ACE: Angiotensin-Converting Enzyme Inhibitors, RRT: Renal Replacement Therapy, ABG: Arterial Blood Gases, Pao2: Partial Pressure Of Oxygen, Fio2: Fraction Of Inspired Oxygen Open table in a new tab Abbreviations : IHD: Ischemic Heart Disease, IMD_Quint: Index Of Multiple Deprivation Quintiles, CCF: Congestive Cardiac Failure, VTE: Venous Thromboembolism , DOAC : Direct Oral Anticoagulant, APA: Antiplatelet Agents, BB : Beta Blocker, CVA: Cerebrovascular Accident, CLD: Chronic Lung Disease, ACE: Angiotensin-Converting Enzyme Inhibitors, RRT: Renal Replacement Therapy, ABG: Arterial Blood Gases, Pao2: Partial Pressure Of Oxygen, Fio2: Fraction Of Inspired Oxygen Data on VTE prophylaxis was missing in 3 cases (0.9%). VTE prophylaxis was in prescribed in 294 (93.6%) patients; one patient was on bridging therapy (0.3%); VTE prophylaxis was not prescribed in 19 patients (death shortly after admission to ITU or clearly documented contraindications). The DVT prophylaxis regimen was the standard hospital protocol of 40mg of enoxaparin once a day. Data characteristics are detailed in the supplemtary file. During April 2020, 198 out of 317 ITU patients were diagnosed with COVID-19 resulting in the period prevalence of 62.5% (56.9-67.8). The D-Dimer levels were measured in 189 patients (59.6%) in whom there was a clinical suspicion of VTE. The levels were similar in COVID and non-COVID patients (849 [ 438.0, 3472.5] v. 947 [ 535.8, 5931.2, p=.589) and were significantly higher in patients who had a thromboembolic event (1,656 [IQR 577.8, 9172.5] v. 826 [IQR 426.5, 2836.5]). The difference in D-Dimer levels between patients with different COVID status and thromboembolic events were not statistically significant (ANOVA, df=5, F=0.893, p=.487). Arterial and venous thromboembolic events occurred in 75 patients treated on ITU in April 2020 (event rate 23.7% (19.1-28.7)). Detailed distribution of thromboembolic events is shown in <u>Table 2</u>.Table 2Cohort stratified by COVID status, Analysis for 2020 only.VariableLevelNegative (n=119)Positive (n=198)p-valueAGEmedian [iqr]55 [44, 65]58 [49, 66]0.0454785SEXFemale39 (32.8)55 (27.8)Male80 (67.2)143 (72.2)0.4145237EthnicityBlack6 (5.9)13 (7.8)White79 (78.2)91 (54.5)Asian16 (15.8)63 (37.7)0.0003173missing1831IMD_QUINTQ155 (47.4)106 (53.8)Q320 (17.2)26 (13.2)Q512 (10.3)16 (8.1)Q216 (13.8)28 (14.2)Q413 (11.2)21 (10.7)0.7679140missing31HEIGHTmedian [iqr]170.5 [164.2, 178.0]170 [163, 178]0.9231268missing1337WEIGHTmedian [iqr]80 [70.0, 90.8]85 [74, 98]0.0229065missing1437BODY MASS INDEXmedian [iqr]27.1 [24.2, 30.7]28.3 [25.9, 32.7]0.0113599missing1437DEATHNo87 (73.1)125 (63.1)Yes32 (26.9)73 (36.9)0.0882851IHDNo109 (91.6)178 (89.9)Yes10 (8.4)20 (10.1)0.7627410ATRIAL FIBRILLATION (AF)No109 (91.6)186 (93.9)Yes10 (8.4)12 (6.1)0.5710131CCFNo112 (94.1)197 (99.5)Yes7 (5.9)1 (0.5)0.0097086VTENo109 (91.6)191 (96.5)Yes10 (8.4)7 (3.5)0.1083799HYPERTENSIONNo81 (68.1)108 (54.5)Yes38 (31.9)90 (45.5)0.0239626CVANo109 (91.6)191 (96.5)Yes10 (8.4)7 (3.5)0.1083799DIABETES MELLITUSNo97 (81.5)134 (67.7)Yes22 (18.5)64 (32.3)0.0106999CLDNo100 (84.0)171 (86.4)Yes19 (16.0)27 (13.6)0.6849795MALIGNANCYNo101 (84.9)180 (90.9)Not confirmed4 (3.4)4 (2.0)Yes14 (11.8)14 (7.1)0.2606323SMOKINGEx-smoker11 (18.0)25 (28.1)Non-smoker24 (39.3)59 (66.3)Current smoker26 (42.6)5 (5.6)< 0.0001missing58109APANo95 (84.1)162 (85.7)Yes18 (15.9)27 (14.3)0.8249742missing69DOACNo100 (88.5)176 (93.1)Yes13 (11.5)13 (6.9)0.2400167missing69WARFARINNo106 (93.8)186 (98.4)Yes7 (6.2)3 (1.6)0.0667872missing69STATINNo83 (73.5)129 (68.3)Yes30 (26.5)60 (31.7)0.4090385missing69ACENo97 (85.8)142 (75.1)Yes16 (14.2)47 (24.9)0.0384546missing69BETA BLOCKERNo95 (84.1)151 (79.9)Yes18 (15.9)38 (20.1)0.4528087missing69SURGICAL GROUPNo49 (41.2)174 (87.9)Yes70 (58.8)24 (12.1)< 0.0001HAEMATOCRITmedian [iqr]0.4 [0.3, 0.4]0.4 [0.3, 0.4]0.2066641missing25PLATELETmedian [iqr]243 [163, 316]242 [180, 323]0.3215948missing01ACTIVATED PARTIAL THROMBOPLASTIN TIMEmedian [iqr]30.4 [27.4, 33.4]30.4 [27.4, 33.4]0.2827159missing14PROTHROMBIN TIMEmedian [iqr]13.2 [12.0, 14.4]14.4 [13.2, 15.6]0.0001996missing01D-DIMERmedian [iqr]947 [ 535.8, 5,931.2]849 [ 438.0, 3,472.5]0.5888318missing7751FERRITINmedian [iqr]413 [154.5, 939.0]992 [ 428.0, 1,963.5]0.0023882missing8795FIBRINOGENmedian [iqr]4.2 [2.7, 5.0]5.2 [4.3, 5.9]< 0.0001missing6092NEUTROPHILSmedian [iqr]9.1 [ 5.4, 12.1]8.2 [ 6.0, 11.4]0.4857807missing03LYMPHmedian [iqr]1.3 [0.8, 2.2]0.9 [0.6, 1.3]< 0.0001missing14CREATININEmedian [iqr]79 [ 64.5, 108.5]81 [ 62, 116]0.9003825missing01UREAmedian [iqr]5.7 [4.1, 9.0]6.3 [ 4.5, 10.2]0.2059393missing11RRT_GROUPNo102 (85.7)146 (74.1)Yes17 (14.3)51 (25.9)0.0219907missing01ABG LACTATEmedian [iqr]1.6 [1.1, 2.7]1.4 [1.1, 1.9]0.0261479missing11ABG PA02median [iqr]13.8 [ 9.2, 22.2]9.7 [ 8, 12]< 0.0001missing12ABG FIO2median [iqr]0.3 [0.2, 0.5]0.6 [0.2, 0.8]< 0.0001missing12VTE PROPHYLAXIS GROUPYes105 (89.7)190 (96.4)No12 (10.3)7 (3.6)0.0304708missing21ARTERIAL EVENT GROUPNo110 (92.4)181 (91.4)Yes9 (7.6)17 (8.6)0.9123990DVT GROUPNo114 (95.8)183 (92.4)Yes5 (4.2)15 (7.6)0.3381037PULMONARY EMBOLISM GROUPNo114 (95.8)169 (85.4)Yes5 (4.2)29 (14.6)0.0064762ARTERIOVENOUS ACCESS THROMBOSIS GROUPNo115 (96.6)195 (98.5)Yes4 (3.4)3 (1.5)0.4911531EVENTNo99 (83.2)143 (72.2)Yes20 (16.8)55 (27.8)0.0366960Abbreviations : IHD: Ischemic Heart Disease, IMD_Quint: Index Of Multiple Deprivation Quintiles, CCF: Congestive Cardiac Failure, VTE: Venous Thromboembolism , DOAC : Direct Oral Anticoagulant, APA: Antiplatelet Agents, BB : Beta Blocker, CVA: Cerebrovascular Accident, CLD: Chronic Lung Disease, ACE: Angiotensin-Converting Enzyme Inhibitors, RRT: Renal Replacement Therapy, ABG: Arterial Blood Gases, Pao2: Partial Pressure Of Oxygen, Fio2: Fraction Of Inspired Oxygen Open table in a new tab Abbreviations : IHD: Ischemic Heart Disease, IMD_Quint: Index Of Multiple Deprivation Quintiles, CCF: Congestive Cardiac Failure, VTE: Venous Thromboembolism , DOAC : Direct Oral Anticoagulant, APA: Antiplatelet Agents, BB : Beta Blocker, CVA: Cerebrovascular Accident, CLD: Chronic Lung Disease, ACE: Angiotensin-Converting Enzyme Inhibitors, RRT: Renal Replacement Therapy, ABG: Arterial Blood Gases, Pao2: Partial Pressure Of Oxygen, Fio2: Fraction Of Inspired Oxygen Arterial events occurred in 26 out of 317 patients (8.2%). This rate was higher than in comparable months of 2019, however, the difference was not statistically significant (OR 1.22, 0.69-2.10, p=.546). In seven patients' arterial events coincided with 3 deep and 2 superficial vein thrombosis, and 3 pulmonary embolisms. COVID-19 status was not associated with arterial events, and neither was the best medical therapy. However, arterial events were associated with increased 30-day mortality. This was significant irrespective of COVID-19 status (all patients: 65.4% v. 30.2%; OR 4.34, 1.75-11.49, p<.001; COVID-19 positive only: 64.7% v. 34.3%; OR 3.49, 1.12-12.08, p=.018). DVT occurred in 20 patients (6.3%). This rate was significantly higher than in corresponding months of 2019 (16/555, 2.88%; OR 2.27, 1.10-4.75, p=.020). Amongst patients with DVT, 3 had simultaneous arterial events, 4 had simultaneous PEs and two had thrombophlebitis (one coinciding with arterial event). In the studied cohort of patients, DVT was not associated with COVID-19 status, demographic factors, comorbid status, or best medical therapy or thirty-day mortality. However, we observed an association of DVT rate with personal history of VTE (OR 5.41, 1.15-20.34, p=.016), and regular prescription for DOAC (OR 5.19, 1.31-17.81, p=.010), but not warfarin, before index admission. Thirty-four pulmonary embolisms occurred during the observation period (10.7%). Pulmonary embolisms occurred almost 4 times more often than in 2019 (OR 3.80, 2.02-7.38, p<.001). In patients with diagnosis of PE, 7 events coexisted with 3 arterial events and 4 DVT. There was an association between the diagnosis of pulmonary embolisms, and diagnosis of COVID-19 (OR 3.80, 1.54-11.64, p=.004), personal history of VTE (OR 7.03, 2.34-20.15, p<.001), lactate on admission to ITU (Cohen's d = -0.19 (effect negligible), p=.023). Pulmonary embolism was also associated with a higher risk of 30-day mortality (OR 3.30, 1.60-7.01, p=.002). Univariate analysis demonstrated that age, but not ethnicity or social deprivation, was the demographic factor associated with development of arterial and venous thromboembolic events. Smoking status was associated with thromboembolic events (non-smokers and ex-smokers v. current smokers: OR 5.3, 1.22-48.3, p=.015) but there was a substantial missingness within this variable and this factor was not used in multivariate model. A diagnosis of COVID-19 (clinical or laboratory-based) and personal history of VTE, but none of the recorded comorbidities were associated with development of thrombotic events. A new onset renal failure requiring acute dialysis was also associated with the diagnosis of VTE, but the direction of this association could not be ascertained using our data. Amongst regular medication, only antiplatelet agents and direct oral anticoagulants were associated with the diagnosis of arterial and venous thromboembolism. VTE prophylaxis was uniformly applied and was not associated with the risk of VTE. Multivariate analysis showed that only personal history of VTE (OR 14.0, 3.98-54.34, p<.001), pre-admission regular antiplatelet agent (OR 0.25, 95%CI 0.07-0.71, p=0.018), COVID19 status (OR 2.64, 1.29-5.77, p=.011), a need for renal replacement therapy (OR 2.40, 1.21-4.72, p=.011) and lactate level on admission to ITU (OR 1.17, 1.03-1.33, p=.013) were independently associated with the diagnosis of arterial and venous thromboembolic events figure 1 and figure 2 . Tables and figures detailing the multivariate analysis are included in the supplementary file.Figure 2Multi-variate analysis for composite outcome (EVENTS). The analysis includes only COVID-positive patients from April 2020.View Large Image Figure ViewerDownload Hi-res image Download (PPT) We observed increased rates of DVT and PE, with no excess arterial events or thrombophlebitis in patients admitted to ITU in 2020 compared with 2019. When we compared the non COVID patients in the 2020 cohort versus the 2019 cohort there was no statistically significant difference in the incidence of the VTE. In patients with positive COVID-19 status, 30-day mortality was associated with arterial events and pulmonary embolism, but not DVT or thrombophlebitis. There was no association of arterial events with COVID-19 status. Similarly, the rates of deep and superficial venous thrombosis were not associated with COVID-19 in our cohort. However, there was a significant association of pulmonary embolism with COVID-19 status (OR 3.90 1.43-13.29, p=.006). This can be explained by under diagnosis of asymptomatic of deep and superficial venous thrombosis. The incidence of acute arterial events is notoriously difficult to establish, since it is often not recognised and not treated promptly in particular if the symptoms are mild. Using a large prospective cohort Howard et al. demonstrated the incidence of acute arterial events of around 0.4%.(18Howard D.P.J. Banerjee A. Fairhead J.F. Hands L. Silver L.E. Rothwell P.M. Population-Based Study of Incidence, Risk Factors, Outcome, and Prognosis of Ischemic Peripheral Arterial Events.Circulation [Internet]. 2015 Nov 10; 132 (15. Available from:): 1805https://doi.org/10.1161/CIRCULATIONAHA.115.016424Google Scholar) A large retrospective analysis of patients with COVID-19 from New York involving over 12 thousand patients failed to explicitly provide the point prevalence of acute arterial events, but the number of patients presenting during observation period represents the rate of ∼0.36%.(12Etkin Y. Conway A.M. Silpe J. Qato K. Carroccio A. Manvar-Singh P. et al.Acute Arterial Thromboembolism in Patients with COVID-19 in the New York City Area.Ann Vasc Surg. 2021 Jan; 70: 290-294Google Scholar)Although done in different geographical locations, encompassing different populations, and different healthcare systems, the results look suspiciously similar, and point towards absence of excess events. We believe that the perceived increase in acute arterial events is caused by the high number of COVID-19 cases and increased attentiveness of vascular surgeons, and may represent observer bias. The increased incidence of VTE (mainly PE) in patients with COVID-19 has been demonstrated previously.(19Malas M.B. Naazie I.N. Elsayed N. Mathlouthi A. Marmor R. Clary B. Thromboembolism risk of COVID-19 is high and associated with a higher risk of mortality: A systematic review and meta-analysis.EClinicalMedicine. 2020 Dec; 29: 100639Google Scholar, 20Boonyawat K. Chantrathammachart P. Numthavej P. Nanthatanti N. Phusanti S. Phuphuakrat A. et al.Incidence of thromboembolism in patients with COVID-19: a systematic review and meta-analysis.Thromb J. 2020 Nov; 18: 34Google Scholar, 21Wu T. Zuo Z. Yang D. Luo X. Jiang L. Xia Z. et al.Venous thromboembolic events in patients with COVID-19: A systematic review and meta-analysis.Age Ageing. 2020 Nov; Google Scholar) However, the rates vary considerably depending on the cohort studied. A recent meta-analysis demonstrated a considerable geographical variability with reports from Germany showing the incidence of around 20% and countries like France and Netherlands reporting the incidence of VTE of up to 40%.(20Boonyawat K. Chantrathammachart P. Numthavej P. Nanthatanti N. Phusanti S. Phuphuakrat A. et al.Incidence of thromboembolism in patients with COVID-19: a systematic review and meta-analysis.Thromb J. 2020 Nov; 18: 34Google Scholar) The incidence was higher in critically ill patients than in patients not requiring higher level of care, or patients not requiring hospitalisation.(22Rashidi F. Barco S. Kamangar F. Heresi G.A. Emadi A. Kaymaz C. et al.Incidence of symptomatic venous thromboembolism following hospitalization for coronavirus disease 2019: Prospective results from a multi-center study.Thromb Res [Internet]. 2021 Dec; (November 2020):135–8. Available from:: 198https://doi.org/10.1016/j.thromres.2020.12.001Google Scholar) The post-discharge incidence of VTE was also low, but the baseline incidence of VTE in the studied ethnic group is generally low.(23Miri M. Goharani R. Sistanizad M. Deep Vein Thrombosis among Intensive Care Unit Patients; an Epidemiologic Study.Emerg (Tehran, Iran) [Internet]. 2017; 5 (Available from:): e13http://www.ncbi.nlm.nih.gov/pubmed/28286820%0Ahttp://www.pubmedcentral.nih.g