The American journal of the medical sciences
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Coronavirus disease 2019 (COVID-19) carries high morbidity and mortality globally. Identification of patients at risk for clinical deterioration upon presentation would aid in triaging, prognostication, and allocation of resources and experimental treatments. ⋯ This web-based risk prediction model can be used at the bedside for prediction of severe COVID-19 using data mostly available at the time of presentation.
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Patients who have suffered an acute ischemic stroke (AIS) and are smokers may have a better outcome following thrombolytic therapy when compared with non-smokers. While this finding is controversial, data on baseline clinical risk factors to predict treatment efficacy of thrombolytic therapy using ambulatory status in patients who suffered AIS and are smokers is not common. ⋯ Our findings suggest that elderly smokers with atrial fibrillation would benefit more from aggressive management of atrial fibrillation than non-smokers.
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There currently is a lack of easy-to-use instruments with which to assess cough. The aim of the present study was to develop a scale for measuring the characteristics of cough and sputum. ⋯ The Multidimensional Cough Index condenses complex aspects related to cough and sputum production into a single instrument, with satisfactory validation.