id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-324565-p3jl1vie	Asghar, Muhammad Sohaib	Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country	2020-08-05		.txt	text/plain	3277	151	46	This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease. Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers. This study aims to identify the roles of these biomarkers (CRP, ferritin, LDH, PCT, and Ddimer), among others, in predicting the severity and clinical outcome during the disease. A study undertaken in Wuhan, China, that evaluated the clinical characteristics of COVID-19 patients also found an important association of CRP with severe disease prognosis. Our study showed that LDH is also significantly increased in patients experiencing a severe course of the disease compared to those with mild infections, thereby demonstrating its role as the most potential biomarker in predicting COVID-19 severity.	./cache/cord-324565-p3jl1vie.txt	./txt/cord-324565-p3jl1vie.txt