Selected article for: "AUC ROC curve area ROC curve and ROC curve"

Author: Yi Han; Haidong Zhang; Sucheng Mu; Wei Wei; Chaoyuan Jin; Yuan Xue; Chaoyang Tong; Yunfei Zha; Zhenju Song; Guorong Gu
Title: Lactate dehydrogenase, a Risk Factor of Severe COVID-19 Patients
  • Document date: 2020_3_27
  • ID: 54o2p36a_11
    Snippet: To assess the diagnostic value of these selected parameters, receiver operating characteristic (ROC) curve and area under ROC curve (AUC) were calculated using R package "pROC". As indicated in Figure3, the area under curve (AUC = 0.9727, 95% CI: 0.932-1.013) implied a perfect accuracy of the serum LDH level more than 283 U/L in COVID-19 patients as a predictive factor for identification of severe condition, with the maximum sensitivity (100.00%).....
    Document: To assess the diagnostic value of these selected parameters, receiver operating characteristic (ROC) curve and area under ROC curve (AUC) were calculated using R package "pROC". As indicated in Figure3, the area under curve (AUC = 0.9727, 95% CI: 0.932-1.013) implied a perfect accuracy of the serum LDH level more than 283 U/L in COVID-19 patients as a predictive factor for identification of severe condition, with the maximum sensitivity (100.00%) and specificity (86.67%). The serum AST level over 29.5 U/L and CRP over 37.3 mg/L showed relative moderate accuracy with AUC = 0.9231 and AUC = 0.9292. As a protective factor, the lymphocyte counts less than 1.045 x 10 9 /L showed a good accuracy for identification of severe patients with AUC All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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