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      Acute Pulmonary Embolism in COVID-19 Patients on CT Angiography and Relationship to D-Dimer Levels

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          Abstract

          Summary Thirty-two of 106 (30%, [95%CI 22-40%]) patients with COVID-19 infection were positive for acute pulmonary embolus on pulmonary CT angiograms. INTRODUCTION Reports of acute pulmonary embolism associated with COVID-19 have emerged in the literature. For example, Chen et al. described 25 pulmonary CT angiograms examinations from 1008 COVID-19 patients; 10 were positive for pulmonary embolism mostly as segmental or sub-segmental APE [1]. In addition, D-dimer levels have been reported as elevated in patients with COVID-19 [2; 3] with the suggestion of an independent association between the severity of the disease and the level of D-dimer [4]. The purpose of this report is to describe the rate of pulmonary embolus in patients classified as COVID-19 infection and who underwent chest CT at a tertiary referral centre. Materials and Methods Patient Population The local ethics committee of Strasbourg University Hospital approved this retrospective study and waived the need of informed consent. Full methods are provided in Appendix E1 (online). From March 1st to March 31st, medical records of all consecutive patients who underwent a CT examination 1) including the chest and 2) performed for either suspicion or follow-up of SARS-CoV-2 infection at one of our 2 hospital sites (Nouvel Hôpital Civil and Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, France) were evaluated. CT examinations that included pulmonary CT angiographic images were evaluated for further study. Clinical and demographic parameters for patients with and without pulmonary embolus in CT pulmonary angiogram were evaluated. CT Pulmonary Angiography CT angiograms were acquired on 64 row or greater scanners after injection of 50 to 75 mL of high concentration iodine contrast media, with the use of a bolus-tracking technique and a threshold of 160 HU to 250 HU in the main pulmonary artery. Images were reconstructed with a slice-thickness of 1 mm in mediastinal and parenchymal windows. A single reader (ILL) classified pulmonary embolism location as main pulmonary arteries, lobar, segmental or subsegmental based on the location of the most proximal luminal defect. Laboratory Analysis Fibrinogen and D-dimer levels were recorded for all patients who had pulmonary CT angiography. All patients with pulmonary CT angiography were evaluated for reverse transcriptase polymerase chain reaction (RT-PCR) results for SARS-CoV-2. All initial samples were obtained by nasopharyngeal swab; some patients had second or third sampling using sputum or bronchoalveolar lavage. Any positive result was classified as confirmed COVID-19 infection. When RT-PCR was negative, chest CT was reviewed by a senior chest radiologist (MO, with 14 years of experience) to look for characteristic COVID-19 lung parenchyma lesions. When CT images were considered typical (i.e. extensive bilateral and peripheral ground glass opacities and/or alveolar consolidation) and clinical data were compatible, the patient was also adjudicated as having COVID-19 [4; 5]. RESULTS A flowchart of all patients with CT scans performed from March 1st to March 31st, 2020 is shown in Figure 1. During this period, 1696 patients had CT for suspicion or follow-up of COVID-19 infection. Dedicated pulmonary CT angiograms were performed in 135/1696 (8%) patients, 25 additional patients had pulmonary arterial phase images included in the chest/ abdomen/ pelvic CT scan (total, 160 patients). Of these 160 patients, 106 patients were classified as COVID-19 infection (97 patients by RT-PCR and 9 patients with positive CT and negative RT-PCR test). The reason for CT angiography in these patients was suspicion of pulmonary embolus in 67/106 (63%) patients and other CT indication in 39/106 (37%) patients. Figure 1. Flowchart of the study. Thirty-two of 106 (30%, [95%CI 22-40%]) patients with COVID-19 and with pulmonary CT angiogram were positive for acute pulmonary embolus; 74 were negative on CT. Relevant clinical and biological data are summarized in the Table. Table. Clinical and biological data for patients undergoing pulmonary CT angiogram and classified as COVID-19 infection. Patients with COVID-19 infection and pulmonary embolus had higher D-dimer levels than those without pulmonary embolus (median, IQR 6110±4905 versus 1920±3674 µg/L, respectively, p<.001), were more likely to be in the intensive care unit (24/32 (75%) versus 24/74 (32%), p<.001) and were treated more often with low weight molecular heparin before CT angiography (25/32 (78%) versus 17/74 (23%), p<.001) (Table). In these patients with COVID-19 infection, D-dimer greater than 2660 µg/L had a sensitivity of 32/32 (100%, 95%CI 88-100) and a specificity of 49/74 (67%, 95% CI 52-79) for pulmonary embolism on CT angiography. See Figure 2 for an example patient. Figure 2. 71-year-old woman at day 3 of ICU stay for ARDS secondary to COVID-19. Pulmonary CT angiography was performed to investigate elevated of D-dimer value above 20 000 µg/L. The CT angiogram demonstrates bilateral filling defects in the main pulmonary arteries. Bilateral peripheral ground glass opacities and small areas of consolidation are present. DISCUSSION Our study demonstrated that of 106 pulmonary CT angiograms performed for COVID-19 patients over a one-month period in a tertiary care centre; 32/106 (30%) of patients had acute pulmonary embolus. This rate of pulmonary embolus is higher than usually encountered in critically ill patients without COVID-19 infection (1.3%, [6]) or in emergency department patients (3 to 10% [7]). In our patient population, a D-dimer threshold of 2660 µg/L detected all patients with pulmonary embolus on chest CT. This threshold of 2660 µg/L is higher than previously reported median level of 2400 [8] and 900 [2] and is higher than cut-off values used to exclude pulmonary embolus in non-ICU patients [9]. High values of d-dimer could be related to a higher activation of blood coagulation in COVID-19 patients secondary to a systemic inflammatory response syndrome – or as a direct consequence of the SARS-CoV-2 itself. Although a single center retrospective report, our results of the potential for pulmonary embolism associated with COVID-19 infection may serve to alert the medical community to heighted vigilance of this complication. APPENDIX Appendix E1 (PDF)

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

            Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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              Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

              Summary Background A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were successively reported in Wuhan, China. We aimed to describe the CT findings across different timepoints throughout the disease course. Methods Patients with COVID-19 pneumonia (confirmed by next-generation sequencing or RT-PCR) who were admitted to one of two hospitals in Wuhan and who underwent serial chest CT scans were retrospectively enrolled. Patients were grouped on the basis of the interval between symptom onset and the first CT scan: group 1 (subclinical patients; scans done before symptom onset), group 2 (scans done ≤1 week after symptom onset), group 3 (>1 week to 2 weeks), and group 4 (>2 weeks to 3 weeks). Imaging features and their distribution were analysed and compared across the four groups. Findings 81 patients admitted to hospital between Dec 20, 2019, and Jan 23, 2020, were retrospectively enrolled. The cohort included 42 (52%) men and 39 (48%) women, and the mean age was 49·5 years (SD 11·0). The mean number of involved lung segments was 10·5 (SD 6·4) overall, 2·8 (3·3) in group 1, 11·1 (5·4) in group 2, 13·0 (5·7) in group 3, and 12·1 (5·9) in group 4. The predominant pattern of abnormality observed was bilateral (64 [79%] patients), peripheral (44 [54%]), ill-defined (66 [81%]), and ground-glass opacification (53 [65%]), mainly involving the right lower lobes (225 [27%] of 849 affected segments). In group 1 (n=15), the predominant pattern was unilateral (nine [60%]) and multifocal (eight [53%]) ground-glass opacities (14 [93%]). Lesions quickly evolved to bilateral (19 [90%]), diffuse (11 [52%]) ground-glass opacity predominance (17 [81%]) in group 2 (n=21). Thereafter, the prevalence of ground-glass opacities continued to decrease (17 [57%] of 30 patients in group 3, and five [33%] of 15 in group 4), and consolidation and mixed patterns became more frequent (12 [40%] in group 3, eight [53%] in group 4). Interpretation COVID-19 pneumonia manifests with chest CT imaging abnormalities, even in asymptomatic patients, with rapid evolution from focal unilateral to diffuse bilateral ground-glass opacities that progressed to or co-existed with consolidations within 1–3 weeks. Combining assessment of imaging features with clinical and laboratory findings could facilitate early diagnosis of COVID-19 pneumonia. Funding None.
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                Author and article information

                Contributors
                Journal
                Radiology
                Radiology
                Radiology
                Radiology
                Radiological Society of North America
                0033-8419
                1527-1315
                23 April 2020
                : 201561
                Affiliations
                [1]From the Hôpitaux Universitaires de Strasbourg, Service de Radiologie, Nouvel Hôpital Civil, Strasbourg, France (I.L.L., A.L., P.L., C.R., M.O.); Hôpitaux Universitaires de Strasbourg, Service de Réanimation Polyvalente, Nouvel Hôpital Civil, Strasbourg, France (X.D., C.P., O.C.); Hôpitaux universitaires de Strasbourg, Groupe Méthodes en Recherche Clinique (GMRC), Hôpital Civil, Strasbourg, France (F.S.); Hôpitaux Universitaires de Strasbourg, Service de Médecine Intensive et Réanimation, Nouvel Hôpital Civil, Strasbourg, France (J.H.); ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, LabEx TRANSPLANTEX, Centre de Recherche d'Immunologie et d'Hématologie, Faculté de Médecine, Fédération Hospitalo-Universitaire (FHU) OMICARE, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg (UNISTRA), Strasbourg, France. (J.H.); Hôpitaux Universitaires de Strasbourg, Service de Médecine Intensive-Réanimation, Hôpital de Hautepierre I, Strasbourg, France (F.S.); Hôpitaux Universitaires de Strasbourg, Service d’Accueil des Urgences, Nouvel Hôpital Civil, Strasbourg, France (P.B.); Hôpitaux Universitaires de Strasbourg, Service de Radiologie, Hôpital de Hautepierre I, Strasbourg, France (S.M.)
                Author notes
                Address correspondence to M.O. (e-mail: mickael.ohana@ 123456gmail.com ).
                Author information
                https://orcid.org/0000-0001-9323-3839
                https://orcid.org/0000-0002-5585-6792
                https://orcid.org/0000-0002-6611-1921
                https://orcid.org/0000-0002-7481-5101
                https://orcid.org/0000-0003-0904-4600
                https://orcid.org/0000-0001-6415-5907
                https://orcid.org/0000-0003-0527-5305
                https://orcid.org/0000-0003-0179-5784
                Article
                201561
                10.1148/radiol.2020201561
                7233397
                32324102
                fa51a3e6-fe13-4d66-88e1-39d773954f65
                2020 by the Radiological Society of North America, Inc.

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