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Biasetti L, Zervogiannis N, Shaw K, Trewhitt H, Serpell L, Bailey D, Wright E, Hall CN. Risk factors for severe COVID-19 disease increase SARS-CoV-2 infectivity of endothelial cells and pericytes. Open Biol 2024; 14:230349. [PMID: 38862017 DOI: 10.1098/rsob.230349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 04/15/2024] [Indexed: 06/13/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) was initially considered a primarily respiratory disease but is now known to affect other organs including the heart and brain. A major route by which COVID-19 impacts different organs is via the vascular system. We studied the impact of apolipoprotein E (APOE) genotype and inflammation on vascular infectivity by pseudo-typed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viruses in mouse and human cultured endothelial cells and pericytes. Possessing the APOE4 allele or having existing systemic inflammation is known to enhance the severity of COVID-19. Using targeted replacement human APOE3 and APOE4 mice and inflammation induced by bacterial lipopolysaccharide (LPS), we investigated infection by SARS-CoV-2. Here, we show that infectivity was higher in murine cerebrovascular pericytes compared to endothelial cells and higher in cultures expressing APOE4. Furthermore, increasing the inflammatory state of the cells by prior incubation with LPS increased infectivity into human and mouse pericytes and human endothelial cells. Our findings provide insights into the mechanisms underlying severe COVID-19 infection, highlighting how risk factors such as APOE4 genotype and prior inflammation may exacerbate disease severity by augmenting the virus's ability to infect vascular cells.
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Affiliation(s)
- Luca Biasetti
- Sussex Neuroscience, School of Psychology, University of Sussex , East Sussex BN1 9QG, UK
| | - Nikos Zervogiannis
- Sussex Neuroscience, School of Psychology, University of Sussex , East Sussex BN1 9QG, UK
| | - Kira Shaw
- Sussex Neuroscience, School of Psychology, University of Sussex , East Sussex BN1 9QG, UK
| | - Harry Trewhitt
- Sussex Neuroscience, School of Psychology, University of Sussex , East Sussex BN1 9QG, UK
| | - Louise Serpell
- Sussex Neuroscience, School of Life Sciences, University of Sussex , East Sussex BN1 9QG, UK
| | | | - Edward Wright
- Viral Pseudotype Unit, School of Life Sciences, University of Sussex , , East Sussex BN1 9QG, UK
| | - Catherine N Hall
- Sussex Neuroscience, School of Psychology, University of Sussex , East Sussex BN1 9QG, UK
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Khan Raja S, Rafique Shiekh R, Arshad Abbasi MA, Tariq S, Saleem H, Tariq M, Akbar A, Jadoon SK, Tasneem S, Saleem Khan M. Exploring the Relationship of Comorbidities, Smoking Status, HRCT Findings With COVID-19 Disease Severity and Outcomes. Cureus 2024; 16:e52937. [PMID: 38406150 PMCID: PMC10893976 DOI: 10.7759/cureus.52937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2024] [Indexed: 02/27/2024] Open
Abstract
INTRODUCTION Coronavirus disease 2019 (COVID-19) is a serious illness that can affect multiple organs including the lungs. The COVID-mortality risk is attributed to the quick transmission of the virus, the severity of disease, and preclinical risk factors, such as the presence of comorbidities. High-resolution computed tomography (HRCT) can predict disease severity in COVID-19 patients. METHODOLOGY This was a retrospective cohort study in which data were obtained from COVID centers at tertiary care hospitals in Azad Jammu and Kashmir. Details of clinical characteristics and HRCT findings along with details of smoking and comorbid history were obtained. RESULTS Fever at hospital admission, HRCT findings, and having a partner predicted disease severity showed a significant p-value of <0.05. Old age and living in a combined household were associated with severe outcomes (p<0.05). Symptoms of shortness of breath (SOB) on hospital admission could predict the need for ICU admission in COVID-19 patients. CONCLUSION HRCT has a good predictive value for disease severity in patients with COVID-19, and old age is a risk factor. Although, limited associations were established in the analysis, in this study hyperlipidemia and hypertension significantly affected the course of disease. Further studies should be done to explore the relationship.
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Affiliation(s)
- Sohail Khan Raja
- Pulmonology, Azad Jammu Kashmir Medical College, Muzaffarabad, PAK
| | | | | | - Samia Tariq
- Medicine, Women Medical and Dental College Abbottabad, Abbottabad, PAK
| | | | - Maham Tariq
- Radiology, Gujranwala Teaching Hospital, Gujranwala, PAK
| | - Amna Akbar
- Emergency and Accident, District Headquarters Hospital (DHQ), Jhelum, PAK
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Degarege A, Naveed Z, Kabayundo J, Brett-Major D. Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis. Pathogens 2022; 11:563. [PMID: 35631084 PMCID: PMC9147100 DOI: 10.3390/pathogens11050563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/02/2022] [Accepted: 05/05/2022] [Indexed: 02/07/2023] Open
Abstract
This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.; I2, and meta-regression. Out of 11,975 articles that were obtained from the databases and screened, 559 studies were abstracted, and then, where appropriate, were analyzed by meta-analysis (n = 542). COVID-19-related severe illness, admission to the ICU, and death were significantly correlated with comorbidities, male sex, and an age older than 60 or 65 years, although high heterogeneity was present in the pooled estimates. The study design, the study country, the sample size, and the year of publication contributed to this. There was publication bias among the studies that compared the odds of COVID-19-related deaths, severe illness, and admission to the ICU on the basis of the comorbidity status. While an older age and chronic diseases were shown to increase the risk of developing severe illness, admission to the ICU, and death among the COVID-19 patients in our analysis, a marked heterogeneity was present when linking the specific risks with the outcomes.
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Affiliation(s)
- Abraham Degarege
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA; (Z.N.); (J.K.); (D.B.-M.)
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Du H, Wu S, Lei H, Ambler G, Werring DJ, Li H, Chen Y, Chen D, Yuan Q, Fang S, Chen R, Zhang Y, Wei J, Chen G, Chen J, Liu N. Total Cerebral Small Vessel Disease Score and Cerebral Bleeding Risk in Patients With Acute Stroke Treated With Intravenous Thrombolysis. Front Aging Neurosci 2022; 14:790262. [PMID: 35478697 PMCID: PMC9037754 DOI: 10.3389/fnagi.2022.790262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe aim of this study was to investigate the association of total cerebral small vessel disease (cSVD) score with the risk of intracerebral hemorrhage (ICH) in patients with acute ischemic stroke who received intravenous thrombolysis (IVT) using recombinant tissue-plasminogen activator (rt-PA).MethodsWe retrospectively reviewed clinical data from two stroke registries of patients with acute ischemic stroke treated with IVT. We assessed the baseline magnetic resonance (MR) visible cSVD markers and total cSVD score (ranging from 0 to 4) between patients with and without ICH after IVT. Logistic regression analysis was used to determine the association of total cSVD score with the risk of ICH after IVT, adjusted for cofounders selected by least absolute shrinkage and selection operator (LASSO). We additionally performed an E-value analysis to fully explain away a specific exposure-outcome association. Receiver operating characteristic (ROC) curve analysis was used to quantify the predictive potential of the total cSVD score for any ICH after IVT.ResultsAmong 271 eligible patients, 55 (20.3%) patients experienced any ICH, 16 (5.9%) patients experienced a symptomatic ICH (sICH), and 5 (1.85%) patients had remote intracranial parenchymal hemorrhage (rPH). Logistic regression analysis showed that the risk of any ICH increased with increasing cSVD score [per unit increase, adjusted odds ratio (OR) 2.03, 95% CI 1.22–3.41, P = 0.007]. Sensitivity analyses using E-value revealed that it would need moderately robust unobserved confounding to render the exposure-outcome (cSVD-any ICH) association null. ROC analysis showed that compared with the National Institutes of Health Stroke Scale (NIHSS) score alone, a combination of cSVD and NIHSS score had a larger area under the curve for any ICH (0.811, 95% CI 0.756–0.866 vs. 0.784, 95% CI 0.723–0.846, P = 0.0004).ConclusionThe total cSVD score is associated with an increased risk of any ICH after IVT and improves prediction for any ICH compared with NIHSS alone.
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Affiliation(s)
- Houwei Du
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Sangru Wu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Neurology, Fujian Provincial Governmental Hospital, Fuzhou, China
| | - Hanhan Lei
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, United Kingdom
| | - David J. Werring
- Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Hangfeng Li
- Department of Neurology, Longyan First Hospital of Fujian Medical University, Longyan, China
| | - Yangui Chen
- Department of Neurology, Longyan First Hospital of Fujian Medical University, Longyan, China
| | - Dongping Chen
- Department of Neurology, Longyan First Hospital of Fujian Medical University, Longyan, China
| | - Qilin Yuan
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Shuangfang Fang
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Ronghua Chen
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Yixian Zhang
- Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jin Wei
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Guangliang Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jianhua Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Nan Liu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China
- *Correspondence: Nan Liu,
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Xiong YB, Tian YX, Ma Y, Yang W, Liu B, Ruan LG, Lu C, Huang LQ. Factors Defining the Development of Severe Illness in Patients with COVID-19: A Retrospective Study. BIOMEDICAL AND ENVIRONMENTAL SCIENCES : BES 2021; 34:984-991. [PMID: 34981721 PMCID: PMC8747433 DOI: 10.3967/bes2021.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/10/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVE Early triage of patients with coronavirus disease 2019 (COVID-19) is pivotal in managing the disease. However, studies on the clinical risk score system of the risk factors for the development of severe disease are limited. Hence, we conducted a clinical risk score system for severe illness, which might optimize appropriate treatment strategies. METHODS We conducted a retrospective, single-center study at the JinYinTan Hospital from January 24, 2020 to March 31, 2020. We evaluated the demographic, clinical, and laboratory data and performed a 10-fold cross-validation to split the data into a training set and validation set. We then screened the prognostic factors for severe illness using the least absolute shrinkage and selection operator (LASSO) and logistic regression, and finally conducted a risk score to estimate the probability of severe illness in the training set. Data from the validation set were used to validate the score. RESULTS A total of 295 patients were included. From 49 potential risk factors, 3 variables were measured as the risk score: neutrophil to lymphocyte ratio ( OR, 1.27; 95% CI, 1.15-1.39), albumin ( OR, 0.76; 95% CI, 0.70-0.83), and chest computed tomography abnormalities ( OR, 2.01; 95% CI, 1.41-2.86) and the AUC of the validation cohort was 0.822 (95% CI, 0.7667-0.8776). CONCLUSION This report may help define the potential of developing severe illness in patients with COVID-19 at an early stage, which might be related to the neutrophil to lymphocyte ratio, albumin, and chest computed tomography abnormalities.
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Affiliation(s)
- Yi Bai Xiong
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Ya Xin Tian
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Yan Ma
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Wei Yang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Bin Liu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Lian Guo Ruan
- Department of Infectious Diseases, JinYinTan Hospital, Wuhan 430024, Hubei, China
| | - Cheng Lu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Lu Qi Huang
- National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
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Du HW, Fang SF, Wu SR, Chen XL, Chen JN, Zhang YX, Huang HY, Lei HH, Chen RH, Pan XB, Li XQ, Xia PC, Zheng ZY, Ling-Luo, Lin HL, Chen LM, Liu N. Six-month follow-up of functional status in discharged patients with coronavirus disease 2019. BMC Infect Dis 2021; 21:1271. [PMID: 34930161 PMCID: PMC8686090 DOI: 10.1186/s12879-021-06970-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/10/2021] [Indexed: 01/08/2023] Open
Abstract
Background The long-term functional outcome of discharged patients with coronavirus disease 2019 (COVID-19) remains unresolved. We aimed to describe a 6-month follow-up of functional status of COVID-19 survivors. Methods We reviewed the data of COVID-19 patients who had been consecutively admitted to the Tumor Center of Union Hospital (Wuhan, China) between 15 February and 14 March 2020. We quantified a 6-month functional outcome reflecting symptoms and disability in COVID-19 survivors using a post-COVID-19 functional status scale ranging from 0 to 4 (PCFS). We examined the risk factors for the incomplete functional status defined as a PCFS > 0 at a 6-month follow-up after discharge. Results We included a total of 95 COVID-19 survivors with a median age of 62 (IQR 53–69) who had a complete functional status (PCFS grade 0) at baseline in this retrospective observational study. At 6-month follow-up, 67 (70.5%) patients had a complete functional outcome (grade 0), 9 (9.5%) had a negligible limited function (grade 1), 12 (12.6%) had a mild limited function (grade 2), 7 (7.4%) had moderate limited function (grade 3). Univariable logistic regression analysis showed a significant association between the onset symptoms of muscle or joint pain and an increased risk of incomplete function (unadjusted OR 4.06, 95% CI 1.33–12.37). This association remained after adjustment for age and admission delay (adjusted OR 3.39, 95% CI 1.06–10.81, p = 0.039). Conclusions A small proportion of discharged COVID-19 patients may have an incomplete functional outcome at a 6-month follow-up; intervention strategies are required. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06970-3.
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Affiliation(s)
- Hou-Wei Du
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Shuang-Fang Fang
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Sang-Ru Wu
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Xiao-Ling Chen
- Department of Infectious Disease, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jun-Nian Chen
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yi-Xian Zhang
- Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hua-Yao Huang
- Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China
| | - Han-Han Lei
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Rong-Hua Chen
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Xiao-Bin Pan
- Department of Critical Care Medicine, Fujian Provincial Hospital South Branch, Fuzhou, China
| | - Xiao-Qing Li
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Pin-Cang Xia
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Zhen-Yang Zheng
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Ling-Luo
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China.,Institute of Clinical Neurology, Fujian Medical University, Fuzhou, China
| | - Hai-Long Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Li-Min Chen
- Department of Respiratory Medicine, Fujian Medical University Union Hospital, Fuzhou, China
| | - Nan Liu
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Gulou District, Fuzhou, 35000, China. .,Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China.
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The predictive value of serum level of cystatin C for COVID-19 severity. Sci Rep 2021; 11:21964. [PMID: 34754069 PMCID: PMC8578213 DOI: 10.1038/s41598-021-01570-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 10/29/2021] [Indexed: 02/07/2023] Open
Abstract
To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594–0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25–6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients.
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Tan BK, Mainbourg S, Friggeri A, Bertoletti L, Douplat M, Dargaud Y, Grange C, Lobbes H, Provencher S, Lega JC. Arterial and venous thromboembolism in COVID-19: a study-level meta-analysis. Thorax 2021; 76:970-979. [PMID: 33622981 PMCID: PMC7907632 DOI: 10.1136/thoraxjnl-2020-215383] [Citation(s) in RCA: 176] [Impact Index Per Article: 58.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/07/2020] [Accepted: 02/01/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND The prevalence of venous thromboembolic event (VTE) and arterial thromboembolic event (ATE) thromboembolic events in patients with COVID-19 remains largely unknown. METHODS In this meta-analysis, we systematically searched for observational studies describing the prevalence of VTE and ATE in COVID-19 up to 30 September 2020. RESULTS We analysed findings from 102 studies (64 503 patients). The frequency of COVID-19-related VTE was 14.7% (95% CI 12.1% to 17.6%, I2=94%; 56 studies; 16 507 patients). The overall prevalence rates of pulmonary embolism (PE) and leg deep vein thrombosis were 7.8% (95% CI 6.2% to 9.4%, I2=94%; 66 studies; 23 117 patients) and 11.2% (95% CI 8.4% to 14.3%, I2=95%; 48 studies; 13 824 patients), respectively. Few were isolated subsegmental PE. The VTE prevalence was significantly higher in intensive care unit (ICU) (23.2%, 95% CI 17.5% to 29.6%, I2=92%, vs 9.0%, 95% CI 6.9% to 11.4%, I2=95%; pinteraction<0.0001) and in series systematically screening patients compared with series testing symptomatic patients (25.2% vs 12.7%, pinteraction=0.04). The frequency rates of overall ATE, acute coronary syndrome, stroke and other ATE were 3.9% (95% CI 2.0% to to 3.0%, I2=96%; 16 studies; 7939 patients), 1.6% (95% CI 1.0% to 2.2%, I2=93%; 27 studies; 40 597 patients) and 0.9% (95% CI 0.5% to 1.5%, I2=84%; 17 studies; 20 139 patients), respectively. Metaregression and subgroup analyses failed to explain heterogeneity of overall ATE. High heterogeneity limited the value of estimates. CONCLUSIONS Patients admitted in the ICU for severe COVID-19 had a high risk of VTE. Conversely, further studies are needed to determine the specific effects of COVID-19 on the risk of ATE or VTE in less severe forms of the disease.
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Affiliation(s)
- Boun Kim Tan
- Department of Intensive Care Unit, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Sabine Mainbourg
- Department of Internal and Vascular Medecine, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
- Equipe Evaluation et Modélisation des Effets Thérapeutiques, UMR - CNRS 5558, Laboratoire de Biométrie et Biologie Évolutive, Claude Bernard University Lyon 1, VIlleurbanne, France
| | - Arnaud Friggeri
- Department of Intensive Care Unit, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Laurent Bertoletti
- Service de Médecine Vasculaire et Thérapeutique, CHU de Saint-Étienne, Saint-Étienne, France
- Université Jean-Monnet, UMR 1059, SAINBIOSE; INSERM CIC 1408, Saint-Étienne, France
| | - Marion Douplat
- Service d'accueil des urgences, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Yesim Dargaud
- Groupe d'Etude Multidisciplinaire des Maladies Thrombotiques, Hospices Civils de Lyon, Lyon, France
- Unité d'Hémostase Clinique, Hôpital Cardiologique Louis Pradel, Hospices Civils de Lyon, Bron, France
| | - Claire Grange
- Department of Internal and Vascular Medecine, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Hervé Lobbes
- Department of Internal and Vascular Medecine, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
- Department of Internal Medicine, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Steeve Provencher
- Pulmonary Hypertension Research Group, Institut Universitaire de Cardiologie et de Pneumologie de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Jean-Christophe Lega
- Department of Internal and Vascular Medecine, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France
- Equipe Evaluation et Modélisation des Effets Thérapeutiques, UMR - CNRS 5558, Laboratoire de Biométrie et Biologie Évolutive, Claude Bernard University Lyon 1, VIlleurbanne, France
- Groupe d'Etude Multidisciplinaire des Maladies Thrombotiques, Hospices Civils de Lyon, Lyon, France
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Geng J, Yu X, Bao H, Feng Z, Yuan X, Zhang J, Chen X, Chen Y, Li C, Yu H. Chronic Diseases as a Predictor for Severity and Mortality of COVID-19: A Systematic Review With Cumulative Meta-Analysis. Front Med (Lausanne) 2021; 8:588013. [PMID: 34540855 PMCID: PMC8440884 DOI: 10.3389/fmed.2021.588013] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 08/05/2021] [Indexed: 01/08/2023] Open
Abstract
Introduction: Given the ongoing coronavirus disease 2019 (COVID-19) pandemic and the consequent global healthcare crisis, there is an urgent need to better understand risk factors for symptom deterioration and mortality among patients with COVID-19. This systematic review aimed to meet the need by determining the predictive value of chronic diseases for COVID-19 severity and mortality. Methods: We searched PubMed, Embase, Web of Science, and Cumulative Index to Nursing and Allied Health Complete to identify studies published between December 1, 2019, and December 31, 2020. Two hundred and seventeen observational studies from 26 countries involving 624,986 patients were included. We assessed the risk of bias of the included studies and performed a cumulative meta-analysis. Results: We found that among COVID-19 patients, hypertension was a very common condition and was associated with higher severity, intensive care unit (ICU) admission, acute respiratory distress syndrome, and mortality. Chronic obstructive pulmonary disease was the strongest predictor for COVID-19 severity, admission to ICU, and mortality, while asthma was associated with a reduced risk of COVID-19 mortality. Patients with obesity were at a higher risk of experiencing severe symptoms of COVID-19 rather than mortality. Patients with cerebrovascular disease, chronic liver disease, chronic renal disease, or cancer were more likely to become severe COVID-19 cases and had a greater probability of mortality. Conclusions: COVID-19 patients with chronic diseases were more likely to experience severe symptoms and ICU admission and faced a higher risk of mortality. Aggressive strategies to combat the COVID-19 pandemic should target patients with chronic diseases as a priority.
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Affiliation(s)
- JinSong Geng
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - XiaoLan Yu
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - HaiNi Bao
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - Zhe Feng
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - XiaoYu Yuan
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - JiaYing Zhang
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - XiaoWei Chen
- Library and Reference Department, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, China
| | - YaLan Chen
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - ChengLong Li
- Department of Medical Informatics, Medical School of Nantong University, Nantong, China
| | - Hao Yu
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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10
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Bonato M, Semenzato U, Tinè M, Bazzan E, Damin M, Biondini D, Casara A, Romagnoli M, Turato G, Cosio MG, Saetta M, Baraldo S. Risk Factors for Development and Severity of COVID-19 in COPD Patients. Front Med (Lausanne) 2021; 8:714570. [PMID: 34434947 PMCID: PMC8380950 DOI: 10.3389/fmed.2021.714570] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 07/16/2021] [Indexed: 11/13/2022] Open
Abstract
The impact that COVID-19 could have on patients with COPD is a real concern. In this study we evaluated, in a cohort of longitudinally followed COPD subjects, the incidence of COVID-19, seeking for possible risk factors and prognostic factors predicting the clinical outcome. In our cohort of 370 patients (followed for 5.3 ± 2.7 years), 22 developed COVID-19 (COPD/COVID-19+) between February/November 2020 (5.9%). Cardio-metabolic conditions (hypertension, dyslipidemia, obesity, diabetes) but not respiratory abnormalities (FEV1, DLCO, emphysema and exacerbation history), were risk factors for development of COVID-19 in COPD patients. Out of the 22 COPD/COVID-19+ patients, 10 needed intensive care. Low DLCO and emphysema, but also metabolic comorbidities, were related to the need for intensive care.
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Affiliation(s)
- Matteo Bonato
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.,Pulmonology Unit, Ospedale Ca' Foncello, Azienda Unità Locale Socio Sanitaria 2 (AULSS2) Marca Trevigiana, Treviso, Italy
| | - Umberto Semenzato
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Mariaenrica Tinè
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Erica Bazzan
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Marco Damin
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Davide Biondini
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Alvise Casara
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Micaela Romagnoli
- Pulmonology Unit, Ospedale Ca' Foncello, Azienda Unità Locale Socio Sanitaria 2 (AULSS2) Marca Trevigiana, Treviso, Italy
| | - Graziella Turato
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Manuel G Cosio
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.,Respiratory Division, Meakins-Christie Laboratories, McGill University, Montreal, QC, Canada
| | - Marina Saetta
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
| | - Simonetta Baraldo
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy
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11
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Cosentino G, Todisco M, Hota N, Della Porta G, Morbini P, Tassorelli C, Pisani A. Neuropathological findings from COVID-19 patients with neurological symptoms argue against a direct brain invasion of SARS-CoV-2: A critical systematic review. Eur J Neurol 2021; 28:3856-3865. [PMID: 34339563 PMCID: PMC8444743 DOI: 10.1111/ene.15045] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 07/29/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE Neuropathological studies can elucidate the mechanisms of nervous system damage associated with SARS-CoV-2 infection. Despite literature on this topic is rapidly expanding, correlations between neurological symptoms and brain pathology findings in COVID-19 patients remain largely unknown. METHODS We performed a systematic literature review on neuropathological studies in COVID-19, including 438 patients from 45 articles published by April 22, 2021. We retrieved quantitative data regarding demographic, clinical, and neuropathological findings. We carried out a Wilcoxon rank sum test or χ2 test to compare patients' subgroups based on different clinical and brain pathology features. RESULTS Neuropathological findings in COVID-19 patients were microgliosis (52.5%), astrogliosis (45.6%), inflammatory infiltrates (44.0%), hypoxic-ischemic lesions (40.8%), edema (25.3%), and hemorrhagic lesions (20.5%). SARS-CoV-2 RNA and proteins were identified in brain specimens of 41.9% and 28.3% of subjects, respectively. Detailed clinical information was available from 245 patients (55.9%), and among them, 96 subjects (39.2%) had presented with neurological symptoms in association with typical COVID-19 manifestations. We found that: (i) the detection rate of SARS-CoV-2 RNA and proteins in brain specimens did not differ between patients with versus those without neurological symptoms; (ii) brain edema, hypoxic-ischemic lesions, and inflammatory infiltrates were more frequent in subjects with neurological impairment; (iii) neurological symptoms were more common among older individuals. CONCLUSIONS Our systematic revision of clinical correlates in COVID-19 highlights the pathogenic relevance of brain inflammatory reaction and hypoxic-ischemic damage rather than neuronal viral load. This analysis indicates that a more focused study design is needed, especially in the perspective of potential therapeutic trials.
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Affiliation(s)
- Giuseppe Cosentino
- IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Massimiliano Todisco
- IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Noy Hota
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Giovanni Della Porta
- IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Patrizia Morbini
- Unit of Pathology, Department of Molecular Medicine, University of Pavia, Pavia, Italy.,IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Cristina Tassorelli
- IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Antonio Pisani
- IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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12
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Ferrer-Oliveras R, Mendoza M, Capote S, Pratcorona L, Esteve-Valverde E, Cabero-Roura L, Alijotas-Reig J. Immunological and physiopathological approach of COVID-19 in pregnancy. Arch Gynecol Obstet 2021; 304:39-57. [PMID: 33945026 PMCID: PMC8093597 DOI: 10.1007/s00404-021-06061-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/31/2021] [Indexed: 12/18/2022]
Abstract
Coronavirus disease-2019 (COVID-19) related to Coronavirus-2 (SARS-CoV-2) is a worldwide health concern. Despite the majority of patients will evolve asymptomatic or mild-moderate upper respiratory tract infections, 20% will develop severe disease. Based on current pathogenetic knowledge, a severe COVID-19 form is mainly a hyperinflammatory, immune-mediated disorder, triggered by a viral infection. Due to their particular immunological features, pregnant women are supposed to be particularly susceptible to complicate by intracellular infections as well as immunological disturbances. As an example, immune-thrombosis has been identified as a common immune-mediated and pathogenic phenomenon both in COVID-19, in obstetric diseases and in COVID-19 pregnant women. According to extensive published clinical data, is rationale to expect an interference with the normal development of pregnancy in selected SARS-CoV-2-infected cases, mainly during third trimester.This manuscript provides insights of research to elucidate the potential harmful responses to SARS-CoV-2 and /or other coronavirus infections, as well as bidirectional interactions between COVID-19 and pregnancy to improve their respective management.
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Affiliation(s)
- Raquel Ferrer-Oliveras
- Department of Obstetrics and Gynaecology, Hospital Universitari Quironsalud Barcelona, Barcelona, Catalonia, Spain.
| | - Manel Mendoza
- Maternal Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Sira Capote
- Department of Obstetrics and Gynaecology, Hospital Universitari Quironsalud Barcelona, Barcelona, Catalonia, Spain
| | - Laia Pratcorona
- Department of Obstetrics, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Enrique Esteve-Valverde
- Department of Internal Medicine, Althaia Network Health. Manresa, Barcelona, Spain
- Universitat Central de Catalunya, Barcelona, Catalonia, Spain
| | - Lluis Cabero-Roura
- Department of Obstetrics and Gynaecology, Hospital Universitari Quironsalud Barcelona, Barcelona, Catalonia, Spain
- Prof. Emeritus of Obsterics and Gynaecology, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Jaume Alijotas-Reig
- Systemic Autoimmune Diseases Unit. Department of Internal Medicine-1, Vall d' Hebron University Hospital, Barcelona, Spain.
- Systemic Autoimmune Research Unit, Vall d'Hebron Reseacrh Institute, Barcelona, Spain.
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
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13
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Li X, Zhong X, Wang Y, Zeng X, Luo T, Liu Q. Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis. PLoS One 2021; 16:e0250602. [PMID: 33939733 PMCID: PMC8092779 DOI: 10.1371/journal.pone.0250602] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 04/11/2021] [Indexed: 01/08/2023] Open
Abstract
Objective We aimed to systematically identify the possible risk factors responsible for severe cases. Methods We searched PubMed, Embase, Web of science and Cochrane Library for epidemiological studies of confirmed COVID-19, which include information about clinical characteristics and severity of patients’ disease. We analyzed the potential associations between clinical characteristics and severe cases. Results We identified a total of 41 eligible studies including 21060 patients with COVID-19. Severe cases were potentially associated with advanced age (Standard Mean Difference (SMD) = 1.73, 95% CI: 1.34–2.12), male gender (Odds Ratio (OR) = 1.51, 95% CI:1.33–1.71), obesity (OR = 1.89, 95% CI: 1.44–2.46), history of smoking (OR = 1.40, 95% CI:1.06–1.85), hypertension (OR = 2.42, 95% CI: 2.03–2.88), diabetes (OR = 2.40, 95% CI: 1.98–2.91), coronary heart disease (OR: 2.87, 95% CI: 2.22–3.71), chronic kidney disease (CKD) (OR = 2.97, 95% CI: 1.63–5.41), cerebrovascular disease (OR = 2.47, 95% CI: 1.54–3.97), chronic obstructive pulmonary disease (COPD) (OR = 2.88, 95% CI: 1.89–4.38), malignancy (OR = 2.60, 95% CI: 2.00–3.40), and chronic liver disease (OR = 1.51, 95% CI: 1.06–2.17). Acute respiratory distress syndrome (ARDS) (OR = 39.59, 95% CI: 19.99–78.41), shock (OR = 21.50, 95% CI: 10.49–44.06) and acute kidney injury (AKI) (OR = 8.84, 95% CI: 4.34–18.00) were most likely to prevent recovery. In summary, patients with severe conditions had a higher rate of comorbidities and complications than patients with non-severe conditions. Conclusion Patients who were male, with advanced age, obesity, a history of smoking, hypertension, diabetes, malignancy, coronary heart disease, hypertension, chronic liver disease, COPD, or CKD are more likely to develop severe COVID-19 symptoms. ARDS, shock and AKI were thought to be the main hinderances to recovery.
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Affiliation(s)
- Xinyang Li
- School of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - Xianrui Zhong
- Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, Illinois, United States of America
| | - Yongbo Wang
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xiantao Zeng
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ting Luo
- School of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - Qing Liu
- Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, China
- * E-mail:
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