id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-264956-wbi0ird5	Ahmed, Anwar E.	Development of a risk‐prediction model for Middle East respiratory syndrome coronavirus infection in dialysis patients	2018-04-14		.txt	text/plain	2578	143	49	An important lesson was learned from the world's largest Middle East respiratory syndrome coronavirus (MERS-CoV) outbreaks that occurred in Saudi Arabia and South Korea: that health care-associated infection is a major cause of rapid pathogen spread in health care settings with a high risk of cluster infections. 12, 13 A valid risk-predictive model for MERS-CoV infection in dialysis patients may increase the likelihood of early virus detection. The authors attempt to develop an algorithm that combines demographic, clinical, radiological, and laboratory data to assess the early risk of MERS-CoV infection in dialysis patients who are suspected of having MERS-CoV infection and were diagnosed by real-time reverse transcription-PCR (rRT-PCR) between September 2012 and June 2016. This is the first study to develop a risk-prediction model in dialysis patients who screened for MERS-CoV infection by rRT-PCR. The model accurately predicts high-risk of MERS-CoV infection in dialysis patients.	./cache/cord-264956-wbi0ird5.txt	./txt/cord-264956-wbi0ird5.txt