Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.7883/yoken.JJID.2020.194

http://scihub22266oqcxt.onion/10.7883/yoken.JJID.2020.194
suck pdf from google scholar
32475880!ä!32475880
PDF vom PMID32475880 :   free

suck abstract from ncbi

pmid32475880
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Prediction of the severity of Corona Virus Disease 2019 and its adverse clinical outcomes #MMPMID32475880
  • Liu X; Shi S; Xiao J; Wang H; Chen L; Li J; Han K
  • Jpn J Infect Dis 2020[May]; ä (ä): ä PMID32475880show ga
  • This study aims to investigate blood and biochemical laboratory findings in patients with severe Corona Virus Disease 2019 (COVID-19) and to develop a joint predictor for predicting the likelihood of severe COVID-19 and its adverse clinical outcomes, to provide more information for treatment. We collected the data of 88 patients with laboratory-confirmed COVID-19. Then patients were divided into a non-severe group and a critical group (including critically ill cases). Univariate analysis showed that the absolute lymphocyte count, albumin level, albumin/globulin (A/G) ratio, lactate dehydrogenase (LDH) level, interleukin-6 (IL-6) level, erythrocyte count, globulin level, blood glucose level, and age were significantly correlated with the severity of COVID-19. The multivariate binary logistic regression model revealed that Age, absolute lymphocyte count, and IL-6 level were independent risk factors in patients with COVID-19. The receiver operating characteristic (ROC) curve revealed that the combination of IL-6 level, absolute lymphocyte count and age is superior to a single factor as predictors for predicting severe COVID-19, regardless of whether it is the area under curve (AUC) or the prediction sensitivity and specificity. Early application is beneficial to early identification of critically ill patients and timing individual treatments to reduce mortality.
  • ä


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    ä ä.ä 2020