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ALGhasab NS, Altamimi LA, Alharbi MS, ALMesned SS, Khetan AK. Venous thromboembolism in COVID-19: A meta-summary of cases. Saudi Med J 2022; 43:979-990. [PMID: 36104055 PMCID: PMC9987652 DOI: 10.15537/smj.2022.43.9.20220316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES To summarize cases of venous thromboembolism (VTE), including pulmonary embolism (PE) and deep vein thrombosis (DVT) among coronavirus disease (COVID-19) patients and discuss their symptoms, diagnostic method, clinical features, and prognosis. METHODS All major databases were searched for relevant studies published between December 1, 2019 and May 5, 2021. RESULTS A total of 233 articles were identified, 22 describing 48 patients were included. A total of 79.1% had PE and 20.9% had DVT. Most patients were men, with a mean age of 56 years. Comorbidities were present in 70.8%, and 85.4% had at least one risk factor of VTE. 56.3% had received anticoagulation therapy. Most patients were treated in the general ward. Complications occurred in 27.1% of the patients, and recovery was achieved in 80.4%. CONCLUSION Venous thromboembolism must be suspected even in patients who had received prior anticoagulant regimens or in stable cases, especially in males, the elderly, and patients with comorbidities and high D-dimer levels.
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Affiliation(s)
- Naif Saad ALGhasab
- From the Department of Internal Medicine (ALGhasab), Medical Collage, Ha’il University; from the Department of Medicine (Alharbi), College of Medicine, University of Ha’il, Ha’il; from the College of Medicine (Altamimi), King Saud University, Riyadh; from the Department of Surgery (ALMesned), Medical College, Qassim University, Buraydah, Kingdom of Saudi Arabia; and from the Department of Medicine (ALGhasab, Khetan), McMaster University, Canada.
| | - Leen A. Altamimi
- From the Department of Internal Medicine (ALGhasab), Medical Collage, Ha’il University; from the Department of Medicine (Alharbi), College of Medicine, University of Ha’il, Ha’il; from the College of Medicine (Altamimi), King Saud University, Riyadh; from the Department of Surgery (ALMesned), Medical College, Qassim University, Buraydah, Kingdom of Saudi Arabia; and from the Department of Medicine (ALGhasab, Khetan), McMaster University, Canada.
- Address correspondence and reprint request to: Dr. Leen A. Altamimi, from the College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia. E-mail: ORCID ID: https://orcid.org/0000-0003-3718-5291
| | - Mohammed Salem Alharbi
- From the Department of Internal Medicine (ALGhasab), Medical Collage, Ha’il University; from the Department of Medicine (Alharbi), College of Medicine, University of Ha’il, Ha’il; from the College of Medicine (Altamimi), King Saud University, Riyadh; from the Department of Surgery (ALMesned), Medical College, Qassim University, Buraydah, Kingdom of Saudi Arabia; and from the Department of Medicine (ALGhasab, Khetan), McMaster University, Canada.
| | - Sulaman S. ALMesned
- From the Department of Internal Medicine (ALGhasab), Medical Collage, Ha’il University; from the Department of Medicine (Alharbi), College of Medicine, University of Ha’il, Ha’il; from the College of Medicine (Altamimi), King Saud University, Riyadh; from the Department of Surgery (ALMesned), Medical College, Qassim University, Buraydah, Kingdom of Saudi Arabia; and from the Department of Medicine (ALGhasab, Khetan), McMaster University, Canada.
| | - Aditya K. Khetan
- From the Department of Internal Medicine (ALGhasab), Medical Collage, Ha’il University; from the Department of Medicine (Alharbi), College of Medicine, University of Ha’il, Ha’il; from the College of Medicine (Altamimi), King Saud University, Riyadh; from the Department of Surgery (ALMesned), Medical College, Qassim University, Buraydah, Kingdom of Saudi Arabia; and from the Department of Medicine (ALGhasab, Khetan), McMaster University, Canada.
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Wismüller A, DSouza AM, Abidin AZ, Ali Vosoughi M, Gange C, Cortopassi IO, Bozovic G, Bankier AA, Batra K, Chodakiewitz Y, Xi Y, Whitlow CT, Ponnatapura J, Wendt GJ, Weinberg EP, Stockmaster L, Shrier DA, Shin MC, Modi R, Lo HS, Kligerman S, Hamid A, Hahn LD, Garcia GM, Chung JH, Altes T, Abbara S, Bader AS. Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. NPJ Digit Med 2022; 5:120. [PMID: 35986059 PMCID: PMC9388980 DOI: 10.1038/s41746-022-00653-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 07/06/2022] [Indexed: 11/29/2022] Open
Abstract
We introduce a multi-institutional data harvesting (MIDH) method for longitudinal observation of medical imaging utilization and reporting. By tracking both large-scale utilization and clinical imaging results data, the MIDH approach is targeted at measuring surrogates for important disease-related observational quantities over time. To quantitatively investigate its clinical applicability, we performed a retrospective multi-institutional study encompassing 13 healthcare systems throughout the United States before and after the 2020 COVID-19 pandemic. Using repurposed software infrastructure of a commercial AI-based image analysis service, we harvested data on medical imaging service requests and radiology reports for 40,037 computed tomography pulmonary angiograms (CTPA) to evaluate for pulmonary embolism (PE). Specifically, we compared two 70-day observational periods, namely (i) a pre-pandemic control period from 11/25/2019 through 2/2/2020, and (ii) a period during the early COVID-19 pandemic from 3/8/2020 through 5/16/2020. Natural language processing (NLP) on final radiology reports served as the ground truth for identifying positive PE cases, where we found an NLP accuracy of 98% for classifying radiology reports as positive or negative for PE based on a manual review of 2,400 radiology reports. Fewer CTPA exams were performed during the early COVID-19 pandemic than during the pre-pandemic period (9806 vs. 12,106). However, the PE positivity rate was significantly higher (11.6 vs. 9.9%, p < 10-4) with an excess of 92 PE cases during the early COVID-19 outbreak, i.e., ~1.3 daily PE cases more than statistically expected. Our results suggest that MIDH can contribute value as an exploratory tool, aiming at a better understanding of pandemic-related effects on healthcare.
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Affiliation(s)
- Axel Wismüller
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
- Faculty of Medicine, Ludwig Maximilian University of Munich, Munich, Germany
| | - Adora M DSouza
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
| | - Anas Z Abidin
- Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA
| | - M Ali Vosoughi
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
| | - Christopher Gange
- Department of Radiology & Biomedical Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Isabel O Cortopassi
- Department of Radiology, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA
| | - Gracijela Bozovic
- Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Alexander A Bankier
- Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Kiran Batra
- Department of Radiology, University of Texas, Southwestern Medical Center, Dallas, TX, USA
| | - Yosef Chodakiewitz
- Department of Imaging, S. Mark Taper Foundation Imaging Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yin Xi
- Department of Radiology, University of Texas, Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Gary J Wendt
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Eric P Weinberg
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Larry Stockmaster
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - David A Shrier
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Min Chul Shin
- Department of Radiology, Christiana Care Health System, Newark, DE, USA
| | - Roshan Modi
- Department of Radiology, Christiana Care Health System, Newark, DE, USA
| | - Hao Steven Lo
- Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Seth Kligerman
- Department of Radiology, University of California, San Diego, San Diego, CA, USA
| | - Aws Hamid
- Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, GA, USA
| | - Lewis D Hahn
- Department of Radiology, University of California, San Diego, San Diego, CA, USA
| | | | - Jonathan H Chung
- Department of Radiology, University of Chicago, Chicago, IL, USA
| | | | - Suhny Abbara
- Department of Radiology, University of Texas, Southwestern Medical Center, Dallas, TX, USA
| | - Anna S Bader
- Department of Radiology & Biomedical Sciences, Yale University School of Medicine, New Haven, CT, USA.
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Pulmonary Thromboembolism in Patients After COVID-19: Predictive Indicators for Correct Diagnosis. ARCHIVES OF CLINICAL INFECTIOUS DISEASES 2022. [DOI: 10.5812/archcid.118892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background: Infection caused by SARS-CoV-2 can lead to significant procoagulant events, sometimes involving life-threatening pulmonary thromboembolism (PE). Additional conditions complicating the diagnosis are the presence of risk factors for PE in almost all patients with COVID-19 and the overlap of clinical presentation between PE and COVID-19. Objectives: We conducted a single-center study at the Heart and Brain Hospital, Pleven, from December 2020 to February 2021. It included 27 consecutively hospitalized patients with recent pneumonia caused by COVID-19 and clinical presentations corresponding to PE. Methods: The cohort was divided into two groups with and without a definitive diagnosis of PE, proven by CT pulmoangiography. The aim was to find the indicators predicting the presence of PE in patients with acute or post-acute COVID-19 conditions. Results: Our results showed that some ECG criteria, including S-wave over 1.5 mm in leads I and aVL (P = 0.007), Q-wave in leads III and aVF (P = 0.020), and D-dimer as a quantitative variable (P = 0.025), were independent predictors of PE. The RV/LV diameter ratios ≥ 1.0 and right ventricular dysfunction showed a sensitivity (Se) of 62.5%, specificity (Sp) of 100%, positive predictive value (PPV) of 100%, and negative predictive value (NPV) of 86.4% to verify the PE diagnosis. Besides, the D-dimer cutoff value of 1,032 ng/mL had an optimal Se of 87.5%, Sp of 57.9%, PPV of 46.7%, and NPV of 91.7% for PE diagnosis (P = 0.021). Conclusions: Against the background of acute and post-acute COVID-19 conditions, ECG and EchoCG criteria remain the PE predictors. We suggest that a higher D-dimer cutoff value be applied in COVID-19 and post-COVID-19 patients to confirm/dismiss PE diagnosis.
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Llausas-Villarreal A, Mendoza-Silva M, Gómez-Gutiérrez OA, Gonzalez-Urquijo M, Fabiani MA. Extensive deep vein thrombosis and pulmonary embolism as a unique clinical manifestation of COVID-19 in a young healthy patient. Vascular 2021; 30:1013-1016. [PMID: 34416115 PMCID: PMC8685733 DOI: 10.1177/17085381211040989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background/Objective Deep vein thrombosis and pulmonary embolism have been described as
complications in previously diagnosed COVID-19 patients, especially in those
admitted in critical ill units, but, to our knowledge, there is no report of
venous thromboembolism in an otherwise asymptomatic COVID-19 patient. Methods We report the case of a 22-year-old female, healthy patient with pulmonary
embolism (Pulmonary Embolism Severity Index Score 22 points, low risk) and
extensive proximal deep vein thrombosis as a unique clinical manifestation
of the new coronavirus disease. Results The patient had no risk factors and no familial history of venous
thromboembolism. All thrombophilia markers were negative. The patient was
treated as first by an independent vascular team, performing vena cava
filter placement and open thrombectomy. Her symptoms worsened, and after 3
weeks, she underwent US-enhanced thrombolysis and mechanical thrombectomy.
She was isolated for 10 days and did not develop any other clinical
manifestation of COVID-19 disease. During follow-up, she remained
asymptomatic and complete patency of the venous system was achieved. Full
oral anticoagulation was conducted for 6 months. Conclusion COVID-19 appears to be a multi-symptomatic disease, and venous
thromboembolism without any other previous described COVID-19 symptom could
be considered one of its diverse clinical presentations and RT-PCR for
SARS-CoV-2 tests emerge to be mandatory in patients with otherwise
unexpected venous thrombosis.
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