Effect of human umbilical cord-derived mesenchymal stem cells on lung damage in severe COVID-19 patients: a randomized, double-blind, placebo-controlled phase 2 trial

Signal Transduction and Targeted Therapy, Journal Year: 2021, Volume and Issue: 6(1)

Published: Feb. 10, 2021

Treatment of severe Coronavirus Disease 2019 (COVID-19) is challenging. We performed a phase 2 trial to assess the efficacy and safety human umbilical cord-mesenchymal stem cells (UC-MSCs) treat COVID-19 patients with lung damage, based on our 1 data. In this randomized, double-blind, placebo-controlled trial, we recruited 101 damage. They were randomly assigned at 2:1 ratio receive either UC-MSCs (4 × 10

Language: Английский

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Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and coronavirus disease 19 (COVID-19) – anatomic pathology perspective on current knowledge

Diagnostic Pathology, Journal Year: 2020, Volume and Issue: 15(1)

Published: Aug. 14, 2020

The world is currently witnessing a major devastating pandemic of Coronavirus disease-2019 (COVID-19). This disease caused by novel coronavirus named Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). It primarily affects the respiratory tract and particularly lungs. virus enters cell attaching its spike-like surface projections to angiotensin-converting enzyme-2 (ACE-2) expressed in various tissues. Though majority symptomatic patients have mild flu-like symptoms, significant minority develop severe lung injury with acute distress syndrome (ARDS), leading considerable morbidity mortality. Elderly previous cardiovascular comorbidities are susceptible clinical manifestations. BODY: Currently, our limited knowledge pathologic findings based on post-mortem biopsies, few autopsies, very complete autopsies. From these reports, we know that can be found organs but most striking tissue damage involves lungs resulting almost always diffuse alveolar interstitial edema, capillary congestion, occasional lymphocytosis, causing hypoxia, multiorgan failure, death. A pathology studies also reported intravascular microthrombi pulmonary thrombembolism. Although presentation this fairly well characterized, aspects remains comparatively limited.

Language: Английский

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Radiologic diagnosis of patients with COVID-19

Radiología (English Edition), Journal Year: 2021, Volume and Issue: 63(1), P. 56 - 73

Published: Jan. 1, 2021

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Baseline electrolyte abnormalities would be related to poor prognosis in hospitalized coronavirus disease 2019 patients

New Microbes and New Infections, Journal Year: 2020, Volume and Issue: 37, P. 100753 - 100753

Published: Sept. 1, 2020

Electrolyte abnormalities are not uncommon in coronavirus disease 2019 (COVID-19). Several studies have suggested that various electrolyte imbalances seem to an impact on prognosis. However, no study has primarily focused the effect of baseline outcome. In this study, we assessed validity hypothesis may be related unfavourable outcomes hospitalized COVID-19 patients. Design was retrospective and observational. We included 408 individuals with over 18 years old. Baseline levels sodium, potassium, calcium chloride were effects these electrolytes requirement for intensive care unit mechanical ventilation, hospitalization duration treatment outcome evaluated. Patients clustered based clusters compared according variables. Frequency other severe indices between clusters. Lastly, evaluated independent factors COVID-19-associated deaths multivariate analyses. all, 228 (55.8%) patients had at least one imbalance baseline. Hyponatraemia most frequent abnormality. hyponatraemia, hypochloraemia or hypocalcaemia had, respectively, more higher mortality rate longer hospitalization. The associated outcomes. Also, Clinical laboratory features detected often those factor death from (OR 10.33; 95% CI 1.62–65.62; p 0.01). Furthermore, imbalances, poor prognosis assessment would beneficial evaluating risk COVID-19.

Language: Английский

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Diagnóstico radiológico del paciente con COVID-19

Radiología, Journal Year: 2020, Volume and Issue: 63(1), P. 56 - 73

Published: Nov. 24, 2020

Language: Английский

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The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting

International Journal of Environmental Research and Public Health, Journal Year: 2020, Volume and Issue: 17(16), P. 5648 - 5648

Published: Aug. 5, 2020

Over the past two decades, there have been major outbreaks where crossover of animal Betacoronaviruses to humans has resulted in severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East (MERS-CoV). In December 2019, a global public health concern started with emergence new strain (SARS-CoV-2 or 2019 novel coronavirus, 2019-nCoV) which rapidly spread all over world from its origin Wuhan, China. SARS-CoV-2 belongs Betacoronavirus genus, includes human SARS-CoV, MERS other coronaviruses (HCoVs), HCoV-OC43 HCoV-HKU1. The fatality rate is lower than previous epidemics, but it faster spreading large number infected people viral pneumonia illness, showed be highly contagious. Based on current published evidence, herein we summarize origin, genetics, epidemiology, clinical manifestations, preventions, diagnosis up date treatments infections comparison those caused by SARS-CoV MERS-CoV. Moreover, possible impact weather conditions transmission also discussed. Therefore, aim present review reconsider pandemics provide reference for future studies as well therapeutic approaches.

Language: Английский

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Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments

IEEE Access, Journal Year: 2020, Volume and Issue: 8, P. 196299 - 196325

Published: Jan. 1, 2020

Between January and October of 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic leading to over one deaths (data from Johns Hopkins University). Since begun spread, emergency departments were busy with COVID-19 patients for whom quick decision regarding in- or outpatient care was required. The can cause characteristic abnormalities chest radiographs (CXR), but, due low sensitivity CXR, additional variables criteria are needed accurately predict risk. Here, we describe computerized system primarily aimed at extracting most relevant radiological, clinical, laboratory improving patient risk prediction, secondarily presenting an explainable machine learning system, which may provide simple be used by clinicians as support assessing To achieve robust reliable variable selection, Boruta Random Forest (RF) combined 10-fold cross-validation scheme produce importance estimate not biased presence surrogates. important then selected train RF classifier, whose rules extracted, simplified, pruned finally build associative tree, particularly appealing its simplicity. Results show that radiological score automatically computed through neural network is highly correlated radiologists, variables, together number comorbidities, aid prediction. prediction performance our approach compared generalized linear models shown effective robust. proposed learning-based computational easily deployed rapid accurate patients.

Language: Английский

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Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method

European Journal of Radiology, Journal Year: 2020, Volume and Issue: 130, P. 109202 - 109202

Published: July 29, 2020

So far, only a few studies evaluated the correlation between CT features and clinical outcome in patients with COVID-19 pneumonia.To evaluate ability differentiating critically ill requiring invasive ventilation from less severe disease.We retrospectively collected data admitted to our institution for pneumonia March 5th-24th. Patients were considered or non-critically ill, depending on need mechanical ventilation. images both groups analyzed assessment of qualitative disease extension, using quantitative semiautomatic method. We differences two clinical, laboratory data. Analyses conducted per-protocol basis.189 analyzed. PaO2/FIO2 ratio oxygen saturation (SaO2) decreased patients. At CT, mixed pattern (ground glass opacities (GGO) consolidation) GGO alone more frequent respectively (p < 0.05). Lung volume involvement was significantly higher (38.5 % vs. 5.8 %, p A cut-off 23.0 lung showed 96 sensitivity specificity distinguishing disease. The fraction involved related lactate dehydrogenase (LDH) levels, SaO2 0.05).Lung assessed has significant relationship severity may predict COVID-19.

Language: Английский

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Chest x-ray in the COVID-19 pandemic: Radiologists’ real-world reader performance

European Journal of Radiology, Journal Year: 2020, Volume and Issue: 132, P. 109272 - 109272

Published: Sept. 10, 2020

Language: Английский

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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography

European Journal of Radiology, Journal Year: 2020, Volume and Issue: 133, P. 109402 - 109402

Published: Nov. 5, 2020

Language: Английский

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