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1.
Cerebrovasc Dis ; 51(5): 663-669, 2022.
Article in English | MEDLINE | ID: covidwho-1770075

ABSTRACT

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic continues to have great impacts on the care of non-COVID-19 patients. This was especially true during the first epidemic peak in France, which coincided with the national lockdown. The aim of this study was to identify whether a decrease in stroke admissions occurred in spring 2020, by analyzing the evolution of all stroke admissions in France from January 2019 to June 2020. METHODS: We conducted a nationwide cohort study using the French national database of hospital admissions (Information Systems Medicalization Program) to extract exhaustive data on all hospitalizations in France with at least one stroke diagnosis between January 1, 2019, and June 30, 2020. The primary endpoint was the difference in the slope gradients of stroke hospitalizations between pre-epidemic, epidemic peak, and post-epidemic peak phases. Modeling was carried out using Bayesian techniques. RESULTS: Stroke hospitalizations dropped from March 10, 2020 (slope gradient: -11.70), and began to rise again from March 22 (slope gradient: 2.090) to May 7. In total, there were 23,873 stroke admissions during the period March-April 2020, compared to 29,263 at the same period in 2019, representing a decrease of 18.42%. The percentage change was -15.63%, -25.19%, -18.62% for ischemic strokes, transient ischemic attacks, and hemorrhagic strokes, respectively. DISCUSSION/CONCLUSION: Stroke hospitalizations in France experienced a decline during the first lockdown period, which cannot be explained by a sudden change in stroke incidence. This decline is therefore likely to be a direct, or indirect, result of the COVID-19 pandemic.


Subject(s)
COVID-19 , Stroke , Bayes Theorem , COVID-19/epidemiology , Cohort Studies , Communicable Disease Control , Hospitalization , Humans , Pandemics , Stroke/diagnosis , Stroke/epidemiology , Stroke/therapy
2.
Clin Res Hepatol Gastroenterol ; 46(5): 101894, 2022 05.
Article in English | MEDLINE | ID: covidwho-1700280

ABSTRACT

BACKGROUND AND AIMS: Coronavirus disease 2019 (COVID-19) is a serious public health issue that became rapidly pandemic. Liver injury and comorbidities, including metabolic syndrome, are associated with severe forms of the disease. This study sought to investigate liver injury, clinical features, and risk factors in patients with mild, moderate, and severe COVID-19. METHODS: We retrospectively included all consecutive patients hospitalized with laboratory-confirmed COVID-19 between February, 22 and May 15, 2020 at the emergency rooms of a French tertiary hospital. Medical history, symptoms, biological and imaging data were collected. RESULTS: Among the 1381 hospitalizations for COVID-19, 719 patients underwent liver tests on admission and 496 (68.9%) patients displayed abnormal liver tests. Aspartate aminotransferase was most commonly abnormal in 57% of cases, followed by gamma-glutamyl transferase, alanine aminotransferase, albumin, alkaline phosphatase, and total bilirubin in 56.5%, 35.9%, 18.4%, 11.4%, and 5.8%. The presence of hepatocellular type more than 2xULN was associated with a higher risk of hospitalization and a worse course of severe disease (odd ratio [OR] 5.599; 95%CI: 1.27-23.86; p = 0.021; OR 3.404; 95% CI: 2.12-5.47; p < 0.001, respectively). A higher NAFLD fibrosis score was associated with a higher risk of hospitalization (OR 1.754; 95%CI: 1.27-2.43, p < 0.001). In multivariate analyses, patients with high fibrosis-4 index had a 3-fold greater risk of severe disease (p < 0.001). CONCLUSION: Abnormal liver tests are common in patients with COVID-19 and could predict the outcome. Patients with non-alcoholic fatty liver disease and liver fibrosis are at higher risk of progressing to severe COVID-19.


Subject(s)
COVID-19 , Non-alcoholic Fatty Liver Disease , COVID-19/complications , Disease Progression , Humans , Liver , Liver Cirrhosis , Non-alcoholic Fatty Liver Disease/complications , Non-alcoholic Fatty Liver Disease/diagnosis , Retrospective Studies , SARS-CoV-2
3.
Neurol Neuroimmunol Neuroinflamm ; 8(5)2021 09.
Article in English | MEDLINE | ID: covidwho-1331974

ABSTRACT

OBJECTIVE: To compare the humoral response after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with multiple sclerosis (MS) receiving different disease-modifying treatments (DMTs). METHODS: Patients with MS with coronavirus disease 2019 (COVID-19) and available anti-SARS-CoV-2 serology were included. The primary endpoint was the anti-SARS-CoV-2 immunoglobulin G (IgG) index. The multivariate analysis was adjusted for COVID-19 severity, SARS-CoV-2 PCR result, and the time between COVID-19 onset and the serology. RESULTS: We included 61 patients with available IgG index. The IgG index was lower in patients with fingolimod or anti-CD20 monoclonal antibodies compared with patients without treatment (p < 0.01), patients with interferon ß-1a or glatiramer (p < 0.01), and patients with another DMT (p = 0.01). The IgG index was correlated with the time between COVID-19 onset and serology (r = -0.296 [-0.510; -0.0477], p = 0.02). CONCLUSIONS: Humoral response after COVID-19 was lower in patients with MS with fingolimod or anti-CD20 mAb. These patients could therefore be at risk of recurrent infection and could benefit from anti-SARS-CoV-2 vaccination. The humoral response after vaccination and the delay before vaccination need to be evaluated. CLASSIFICATION OF EVIDENCE: This study provides Class IV evidence that patients treated with fingolimod or anti-CD20 monoclonal antibodies for MS have a lower humoral response after COVID-19 compared with patients without DMTs or with another DMTs.


Subject(s)
Antibodies, Viral/blood , COVID-19/immunology , Immunosuppressive Agents/therapeutic use , Multiple Sclerosis/drug therapy , Multiple Sclerosis/immunology , Adult , Antibodies, Viral/drug effects , Female , Humans , Male , Middle Aged , SARS-CoV-2/immunology
4.
Int J Environ Res Public Health ; 18(4)2021 02 17.
Article in English | MEDLINE | ID: covidwho-1110412

ABSTRACT

There is currently not sufficient evidence to support the effectiveness of face shields for source control. In order to evaluate the comparative barrier performance effect of face masks and face shields, we used an aerosol generator and a particle counter to evaluate the performance of the various devices in comparable situations. We tested different configurations in an experimental setup with manikin heads wearing masks (surgical type I), face shields (22.5 cm high with overhang under the chin of 7 cm and circumference of 35 cm) on an emitter or a receiver manikin head, or both. The manikins were face to face, 25 cm apart, with an intense particle emission (52.5 L/min) for 30 s. The particle counter calculated the total cumulative particles aspirated on a volume of 1.416 L In our experimental conditions, when the receiver alone wore a protection, the face shield was more effective (reduction factor = 54.8%), while reduction was lower with a mask (reduction factor = 21.8%) (p = 0.002). The wearing of a protective device by the emitter alone reduced the level of received particles by 96.8% for both the mask and face shield (p = NS). When both the emitter and receiver manikin heads wore a face shield, the protection allowed for better results in our experimental conditions: 98% reduction for the face shields versus 97.3% for the masks (p = 0.01). Face shields offered an even better barrier effect than the mask against small inhaled particles (<0.3 µm-0.3 to 0.5 µm-0.5 to 1 µm) in all configurations. Therefore, it would be interesting to include face shields as used in our experimental study as part of strategies to reduce transmission within the community setting.


Subject(s)
COVID-19 , Communicable Disease Control/instrumentation , Inhalation Exposure/prevention & control , Masks , Personal Protective Equipment , Aerosols , Humans
5.
J Infect Dis ; 223(4): 600-609, 2021 02 24.
Article in English | MEDLINE | ID: covidwho-1101851

ABSTRACT

BACKGROUND: Neurological manifestations are common in patients with coronavirus disease 2019 (COVID-19), but little is known about pathophysiological mechanisms. In this single-center study, we examined neurological manifestations in 58 patients, including cerebrospinal fluid (CSF) analysis and neuroimaging findings. METHODS: The study included 58 patients with COVID-19 and neurological manifestations in whom severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse-transcription polymerase chain reaction screening and on CSF analysis were performed. Clinical, laboratory, and brain magnetic resonance (MR) imaging data were retrospectively collected and analyzed. RESULTS: Patients were mostly men (66%), with a median age of 62 years. Encephalopathy was frequent (81%), followed by pyramidal dysfunction (16%), seizures (10%), and headaches (5%). CSF protein and albumin levels were increased in 38% and 23%, respectively. A total of 40% of patients displayed an elevated albumin quotient, suggesting impaired blood-brain barrier integrity. CSF-specific immunoglobulin G oligoclonal band was found in 5 patients (11%), suggesting an intrathecal synthesis of immunoglobulin G, and 26 patients (55%) presented identical oligoclonal bands in serum and CSF. Four patients (7%) had a positive CSF SARS-CoV-2 reverse-transcription polymerase chain reaction. Leptomeningeal enhancement was present on brain MR images in 20 patients (38%). CONCLUSIONS: Brain MR imaging abnormalities, especially leptomeningeal enhancement, and increased inflammatory markers in CSF are frequent in patients with neurological manifestations related to COVID-19, whereas SARS-CoV-2 detection in CSF remained scanty.


Subject(s)
Brain Diseases/cerebrospinal fluid , Brain/diagnostic imaging , COVID-19/complications , Aged , Biomarkers/cerebrospinal fluid , Blood-Brain Barrier/diagnostic imaging , Blood-Brain Barrier/pathology , Brain Diseases/diagnostic imaging , Brain Diseases/virology , COVID-19/cerebrospinal fluid , COVID-19/diagnostic imaging , Female , France , Humans , Inflammation/diagnosis , Magnetic Resonance Imaging , Male , Middle Aged , Retrospective Studies
6.
Open Forum Infect Dis ; 7(10): ofaa405, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-1003713

ABSTRACT

We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%.

7.
J Clin Med ; 9(9)2020 Sep 18.
Article in English | MEDLINE | ID: covidwho-789475

ABSTRACT

The sensitivity of reverse transcriptase polymerase chain reaction (RT-PCR) has been questioned due to negative results in some patients who were strongly suspected of having coronavirus disease 2019 (COVID-19). The aim of our study was to analyze the prognosis of infected patients with initial negative RT-PCR in the emergency department (ED) during the COVID-19 outbreak. This study included two cohorts of adult inpatients admitted into the ED. All patients who were suspected to be infected with SARS-CoV-2 and who underwent a typical chest CT imaging were included. Thus, we studied two distinct cohorts: patients with positive RT-PCR (PCR+) and those with negative initial RT-PCR (PCR-). The data were analyzed using Bayesian methods. We included 66 patients in the PCR- group and 198 in the PCR+ group. The baseline characteristics did not differ except in terms of a proportion of lower chronic respiratory disease in the PCR- group. We noted a less severe clinical presentation in the PCR- group (lower respiratory rate, lower oxygen need and mechanical ventilation requirement). Hospital mortality (9.1% vs. 9.6%) did not differ between the two groups. Despite an initially less serious clinical presentation, the mortality of patients infected by SARS-CoV-2 with a negative RT-PCR did not differ from those with positive RT-PCR.

8.
Clin Microbiol Infect ; 26(10): 1417.e5-1417.e8, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-671474

ABSTRACT

OBJECTIVE: The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients. METHODS: We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions: normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission. RESULTS: The mean patient age was 66.0 ± 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and ≤25% (70/306, 22.9%) (p < 0.01 and p < 0.01, respectively). None of the patients with normal CT (0/14) had severe disease. CONCLUSION: Chest CT findings at admission are associated with outcome in COVID-19 patients.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/diagnostic imaging , Coronavirus Infections/mortality , Lung/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/mortality , Adult , Aged , Aged, 80 and over , Betacoronavirus/genetics , COVID-19 , COVID-19 Testing , Clinical Laboratory Techniques/methods , Coronavirus Infections/diagnosis , Coronavirus Infections/physiopathology , Coronavirus Infections/virology , Female , Humans , Intensive Care Units , Lung/physiopathology , Lung/virology , Male , Middle Aged , Pandemics , Pneumonia, Viral/physiopathology , Pneumonia, Viral/virology , Prognosis , Retrospective Studies , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2 , Severity of Illness Index , Survival Analysis , Tomography, X-Ray Computed
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