Background: COVID-19 is currently one of the most infectious diseases worldwide. In this study, we focused on the mild and moderate cases of COVID-19 that can present with mild respiratory symptoms or non-respiratory ...Background: COVID-19 is currently one of the most infectious diseases worldwide. In this study, we focused on the mild and moderate cases of COVID-19 that can present with mild respiratory symptoms or non-respiratory symptoms. Many of that cases got miss diagnoses. We aim to help emergency physicians in reaching a proper and faster diagnosis of COVID-19 cases. Method: In this retrospective cross-sectional qualitative study, we collected 100 confirmed cases of COVID-19 that were presented in April 2020 in Al Wakra Hospital, Qatar. All that cases were mild-moderate cases without severe respiratory symptoms. We reviewed the electronic files on patient presentation, emergency department physician’s note, temperature data, and chest X-ray findings. Result: Our result showed about 49% of the total COVID-19 confirmed cases had respiratory symptoms, while the remaining 51% had no respiratory symptoms. The respiratory symptoms, such as cough and sore throat, and non-respiratory symptoms like headache, vomiting, abdominal pain, and skin rash. Regarding fever presentation, we found that 66% of cases had a fever, while 34% had no fever complaints. The most frequently observed body temperature of patients was 37+ °C, followed by 38+ °C, 36+ °C, and 39+ °C. About 41% of cases had non-significant X-ray findings, and 40% cases had significant X-ray findings. The remaining 19% of cases did not undergo any X-ray examination due to mild and stable presentation. Conclusion: The presentations and symptoms of a mild-moderate case of COVID-19 are not respiratory only, there are extra-pulmonary symptoms and presentations should be considered. The most common presentation for mild-moderate COVID-19 was found to be fever. Chest X-ray may be performed depending on the patient’s condition, red flags, and abnormal findings in clinical examination, and should not be routine in cases with the mild presentation of COVID-19 suspicion in the emergency department.展开更多
Background and Objectives: Asthma is a heterogeneous disease where patient severity can be classified according to various models based on numerous variables. Large collections of well-phenotyped subjects are needed t...Background and Objectives: Asthma is a heterogeneous disease where patient severity can be classified according to various models based on numerous variables. Large collections of well-phenotyped subjects are needed to find distinct clusters of patients for personalized medicine and future genetic studies. The objective of this study is to describe the collection of the Quebec City Case-Control Asthma Cohort and to identify homogeneous subgroups of asthma patients based on clinical characteristics. Methods: This cohort is part of an ongoing project initiated in 2007 to elucidate the genetic basis of asthma. All subjects are randomly recruited at the same site following advertisements. Subjects are unrelated French Canadian white adults 18 years of age or older. Each participant underwent a spirometry, methacholine challenge, and allergy skin-prick tests. Blood was collected for DNA, cell counts and total serum IgE measurements. So far, 982 subjects have been recruited and classified as cases (n = 566) or controls (n = 416). We performed factor and cluster analyses on collected phenotypes from this set to identify subgroups of phenotypically similar asthmatic patients. Results: Factor analysis with 13 variables led to the selection of five factors: lung function, numbers of allergens, blood eosinophil percentage, smoking status and age. K-means cluster analysis on the reduced dataset produced four significantly different groups with the following characteristics: smoking history, low atopy and low lung function, high atopy, and young non-smoking with average atopy. Conclusions: The Quebec City Case-Control Asthma Cohort is a new resource for local and collaborative clinical and genetic research on asthma. This new collection reveals distinct multivariate phenotypes of adult asthma that are likely to be important for future genetic studies and targeted therapies.展开更多
文摘Background: COVID-19 is currently one of the most infectious diseases worldwide. In this study, we focused on the mild and moderate cases of COVID-19 that can present with mild respiratory symptoms or non-respiratory symptoms. Many of that cases got miss diagnoses. We aim to help emergency physicians in reaching a proper and faster diagnosis of COVID-19 cases. Method: In this retrospective cross-sectional qualitative study, we collected 100 confirmed cases of COVID-19 that were presented in April 2020 in Al Wakra Hospital, Qatar. All that cases were mild-moderate cases without severe respiratory symptoms. We reviewed the electronic files on patient presentation, emergency department physician’s note, temperature data, and chest X-ray findings. Result: Our result showed about 49% of the total COVID-19 confirmed cases had respiratory symptoms, while the remaining 51% had no respiratory symptoms. The respiratory symptoms, such as cough and sore throat, and non-respiratory symptoms like headache, vomiting, abdominal pain, and skin rash. Regarding fever presentation, we found that 66% of cases had a fever, while 34% had no fever complaints. The most frequently observed body temperature of patients was 37+ °C, followed by 38+ °C, 36+ °C, and 39+ °C. About 41% of cases had non-significant X-ray findings, and 40% cases had significant X-ray findings. The remaining 19% of cases did not undergo any X-ray examination due to mild and stable presentation. Conclusion: The presentations and symptoms of a mild-moderate case of COVID-19 are not respiratory only, there are extra-pulmonary symptoms and presentations should be considered. The most common presentation for mild-moderate COVID-19 was found to be fever. Chest X-ray may be performed depending on the patient’s condition, red flags, and abnormal findings in clinical examination, and should not be routine in cases with the mild presentation of COVID-19 suspicion in the emergency department.
文摘Background and Objectives: Asthma is a heterogeneous disease where patient severity can be classified according to various models based on numerous variables. Large collections of well-phenotyped subjects are needed to find distinct clusters of patients for personalized medicine and future genetic studies. The objective of this study is to describe the collection of the Quebec City Case-Control Asthma Cohort and to identify homogeneous subgroups of asthma patients based on clinical characteristics. Methods: This cohort is part of an ongoing project initiated in 2007 to elucidate the genetic basis of asthma. All subjects are randomly recruited at the same site following advertisements. Subjects are unrelated French Canadian white adults 18 years of age or older. Each participant underwent a spirometry, methacholine challenge, and allergy skin-prick tests. Blood was collected for DNA, cell counts and total serum IgE measurements. So far, 982 subjects have been recruited and classified as cases (n = 566) or controls (n = 416). We performed factor and cluster analyses on collected phenotypes from this set to identify subgroups of phenotypically similar asthmatic patients. Results: Factor analysis with 13 variables led to the selection of five factors: lung function, numbers of allergens, blood eosinophil percentage, smoking status and age. K-means cluster analysis on the reduced dataset produced four significantly different groups with the following characteristics: smoking history, low atopy and low lung function, high atopy, and young non-smoking with average atopy. Conclusions: The Quebec City Case-Control Asthma Cohort is a new resource for local and collaborative clinical and genetic research on asthma. This new collection reveals distinct multivariate phenotypes of adult asthma that are likely to be important for future genetic studies and targeted therapies.
