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1.
Intern Emerg Med ; 17(2): 515-524, 2022 03.
Article in English | MEDLINE | ID: covidwho-1206943

ABSTRACT

Coronavirus Disease 2019 (COVID-19) pandemic has implacably stricken on the wellness of many countries and their health-care systems. The aim of the present study is to analyze the clinical characteristics of the initial wave of patients with COVID-19 attended in our center, and to identify the key variables predicting the development of respiratory failure. Prospective design study with concurrent data retrieval from automated medical records of all hospitalized adult patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rRT-PCR assay performed on respiratory samples from March 2nd to 18th, 2020. Patients were followed up to May 1st, 2020 or death. Respiratory failure was defined as a PaO2/FiO2 ratio ≤ 200 mm Hg or the need for mechanical ventilation (either non-invasive positive pressure ventilation or invasive mechanical ventilation). We included 521 patients of whom 416 (81%) had abnormal Chest X-ray on admission. Median age was 64.6 ± 18.2 years. One hundred eighty-one (34.7%) developed respiratory failure after a median time from onset of symptoms of 9 days (IQR 6-11). In-hospital mortality was 23.8% (124/521). The modeling process concluded into a logistic regression multivariable analysis and a predictive score at admission. Age, peripheral pulse oximetry, lymphocyte count, lactate dehydrogenase and C-reactive protein were the selected variables. The model has a good discriminative capacity with an area under the ROC curve of 0.85 (0.82-0.88). The application of a simple and reliable score at admission seems to be a useful tool to predict respiratory failure in hospitalized COVID-19 patients.


Subject(s)
COVID-19 , Respiratory Insufficiency , Adult , Aged , Aged, 80 and over , COVID-19/complications , Humans , Middle Aged , Pandemics , Prospective Studies , Respiratory Insufficiency/epidemiology , SARS-CoV-2
2.
Neurology ; 95(15): e2109-e2118, 2020 10 13.
Article in English | MEDLINE | ID: covidwho-638341

ABSTRACT

OBJECTIVE: To report a case of a patient infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who acutely developed a hypokinetic-rigid syndrome. METHODS: Patient data were obtained from medical records from the Hospital Universitario 12 de Octubre in Madrid, Spain. [123I]-ioflupane dopamine transporter (DaT) SPECT images were acquired 4 hours after a single dose of 185 MBq of 123I-FP-CIT. Quantitative analysis was performed with DaTQUANT software providing the specific binding ratio and z score values of the striatum. RESULTS: We report a previously healthy 58-year-old man who developed hyposmia, generalized myoclonus, fluctuating and transient changes in level of consciousness, opsoclonus, and an asymmetric hypokinetic-rigid syndrome with ocular abnormalities after a severe SARS-CoV-2 infection. DaT-SPECT confirmed a bilateral decrease in presynaptic dopamine uptake asymmetrically involving both putamina. Significant improvement in the parkinsonian symptoms was observed without any specific treatment. CONCLUSION: This case study provides clinical and functional neuroimaging evidence to support that SARS-CoV-2 can gain access to the CNS, affecting midbrain structures and leading to neurologic signs and symptoms.


Subject(s)
Coronavirus Infections/physiopathology , Parkinson Disease, Postencephalitic/physiopathology , Pneumonia, Viral/physiopathology , Putamen/diagnostic imaging , Betacoronavirus , Brain/diagnostic imaging , Brain/metabolism , COVID-19 , Consciousness Disorders , Coronavirus Infections/complications , Coronavirus Infections/diagnostic imaging , Disease Progression , Dopamine Plasma Membrane Transport Proteins/metabolism , Electroencephalography , Humans , Hypokinesia/diagnostic imaging , Hypokinesia/etiology , Hypokinesia/physiopathology , Magnetic Resonance Imaging , Male , Middle Aged , Muscle Rigidity/diagnostic imaging , Muscle Rigidity/etiology , Muscle Rigidity/physiopathology , Nortropanes , Ocular Motility Disorders , Pandemics , Parkinson Disease, Postencephalitic/diagnostic imaging , Parkinson Disease, Postencephalitic/etiology , Pneumonia, Viral/complications , Pneumonia, Viral/diagnostic imaging , Putamen/metabolism , SARS-CoV-2 , Tomography, Emission-Computed, Single-Photon
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