动物实验,COVID19 z-bo 2020-10-13 365

　　Dr. Jessie, the corresponding author of this study, said: “Ultimately, we hope to create a set of tools that will help doctors in many ways to personalize care and resource allocation when patients use COVID-19.”

　　The latest model of the

　　 team was developed using retrospective patient data from 3,500 early-stage patients in Ohio and 3,500 patients in Cleveland, Florida (early March to early June) who tested positive for COVID-19. Verified. Data scientists use statistical algorithms to convert data from registered patient electronic medical records into risk prediction models. By comparison

　　The characteristics of COVID-19 admitted and non-admitted patients, we found previously uncertain risk factors for admission. 1) Smoking, former smokers are more likely to be hospitalized than current smokers. 2) Taking certain drugs. Patients taking angiotensin converting enzyme (ACE) inhibitors or angiotensin II type I receptor blockers (ARB) are more likely to be hospitalized. 3) Competition. African-American patients are more likely to be hospitalized than patients of other races.

　　Dr. Kattan warned that he is an expert in the development and validation of medical decision-making models and that further research is needed on the link between ACE inhibitors and ARB. "Our study found that only univariate analysis increases the risk of hospitalization when taking these drugs, which means that the observed association may be the result of other related variables.

　　The findings of the research team also showed fever. Patients with complex symptoms such as shortness of breath, vomiting and fatigue are more likely to be hospitalized. The study confirmed other associations reported in the previous literature, including the increased risk of hospitalization in the elderly; men and comorbidities (such as diabetes and hypertension) or socioeconomic background. People who are short have a high risk of being hospitalized.

　　Dr. Jehi said: “Hospitalization can be used as an indicator of disease severity. Knowing the patients most likely to be hospitalized for COVID-19-related symptoms and complications can not only help doctors determine the best treatment. No. Determine how to manage patient care And allocating beds and other resources.