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10.1002/jcla.23527

http://scihub22266oqcxt.onion/10.1002/jcla.23527
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32860278!7595904!32860278
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suck abstract from ncbi


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pmid32860278      J+Clin+Lab+Anal 2020 ; 34 (10): e23527
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  • Associations between serum amyloid A, interleukin-6, and COVID-19: A cross-sectional study #MMPMID32860278
  • Liu Q; Dai Y; Feng M; Wang X; Liang W; Yang F
  • J Clin Lab Anal 2020[Oct]; 34 (10): e23527 PMID32860278show ga
  • BACKGROUND: Serum amyloid A (SAA), interleukin-6 (IL-6) and neutrophil-to-lymphocyte ratio (NLR) play critical roles in inflammation and are used in clinical laboratories as indicators of inflammation-related diseases. We aimed to provide potential laboratory basis for auxiliary distinguishing coronavirus disease (COVID-19) by monitoring above indicators. METHODS: A total of 84 patients with confirmed COVID-19 were enrolled in the study. Baseline characteristics and laboratory results were collected and analyzed. Receiver operating characteristic (ROC) curve analysis was used to combined detection of SAA and IL-6 in patients with COVID-19, and independent risk factors for severity of COVID-19 were assessed by using binary logistic regression. RESULTS: The main clinical symptoms of patients with COVID-19 were fever (98.8%), fatigue (61.9%), and dry cough (58.3%). SAA, IL-6, and NLR were significantly higher in patients with COVID-19 (all P < .001), and compared with nonsevere patients, three indicators of severe patients were significantly elevated. Besides, combined detection of SAA and IL-6 better separates healthy people from patients with COVID-19 than detection of SAA or IL-6 alone. In addition, elevated SAA, IL-6, and NLR can be used as independent variables for predicting the severity of patients with COVID-19. CONCLUSION: Serum amyloid A and IL-6 could be used as addition parameters to helping the distinguish of patients with COVID-19 from healthy people, and can provide potential basis for separating patients with nonsevere and severe clinical signs.
  • |*Coronavirus Infections/blood/diagnosis/epidemiology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/blood/diagnosis/epidemiology[MESH]
  • |Adult[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Interleukin-6/*blood[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |ROC Curve[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]


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