id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-253962-ug7yflxh	Huang, Dong	A novel risk score to predict diagnosis with Coronavirus Disease 2019 (COVID‐19) in suspected patients: A retrospective, multi‐center, observational study	2020-06-08		.txt	text/plain	2459	198	57	title: A novel risk score to predict diagnosis with Coronavirus Disease 2019 (COVID‐19) in suspected patients: A retrospective, multi‐center, observational study BACKGROUND: The aim of the study was to explore a novel risk score to predict diagnosis with COVID‐19 among all suspected patients at admission. We found nine independent risk factors for diagnosis with COVID‐19 at admission to hospital: epidemiological exposure histories (OR:13.32, 95%CI 6.39‐27.75), weakness/fatigue (OR:4.51, 95%CI 1.70‐11.96), heart rate <100 beat/min (OR:3.80, 95%CI 2.00‐7.22), bilateral pneumonia (OR:3.60, 95%CI 1.83‐7.10), neutrophil count ≤6.3×10(9)/L (OR: 6.77, 95%CI 2.52‐18.19), eosinophil count ≤0.02×10(9)/L (OR:3.14, 95%CI 1.58‐6.22), glucose ≥6 mmol/L (OR:2.43, 95%CI 1.04‐5.66), D‐dimer ≥0.5 mg/L (OR:3.49, 95%CI 1.22‐9.96), and C‐reactive protein <5 mg/L (OR:3.83, 95%CI 1.86‐7.92). The current study is conducted aiming to explore the potential early risk factors, and to develop a risk score used for predicting the probability of diagnosis among all suspected COVID-19 patients at early stage.	./cache/cord-253962-ug7yflxh.txt	./txt/cord-253962-ug7yflxh.txt