Selected article for: "clinical value and important clinical value"

Author: Gao, Yong; Li, Tuantuan; Han, Mingfeng; Li, Xiuyong; Wu, Dong; Xu, Yuanhong; Zhu, Yulin; Liu, Yan; Wang, Xiaowu; Wang, Linding
Title: Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID‐19
  • Cord-id: k6j0vply
  • Document date: 2020_4_10
  • ID: k6j0vply
    Snippet: The role of clinical laboratory data in the differential diagnosis of the severe forms of COVID‐19 has not been definitely established. The aim of this study was to look for the warning index in severe COVID‐19 patients. We investigated 43 adult patients with COVID‐19. The patients were classified into mild group (28 patients) and severe group (15 patients). A comparison of the hematological parameters between the mild and severe groups showed significant differences in interleukin‐6 (IL
    Document: The role of clinical laboratory data in the differential diagnosis of the severe forms of COVID‐19 has not been definitely established. The aim of this study was to look for the warning index in severe COVID‐19 patients. We investigated 43 adult patients with COVID‐19. The patients were classified into mild group (28 patients) and severe group (15 patients). A comparison of the hematological parameters between the mild and severe groups showed significant differences in interleukin‐6 (IL‐6), d‐dimer (d‐D), glucose, thrombin time, fibrinogen, and C‐reactive protein (P < .05). The optimal threshold and area under the receiver operator characteristic curve (ROC) of IL‐6 were 24.3 and 0.795 µg/L, respectively, while those of d‐D were 0.28 and 0.750 µg/L, respectively. The area under the ROC curve of IL‐6 combined with d‐D was 0.840. The specificity of predicting the severity of COVID‐19 during IL‐6 and d‐D tandem testing was up to 93.3%, while the sensitivity of IL‐6 and d‐D by parallel test in the severe COVID‐19 was 96.4%. IL‐6 and d‐D were closely related to the occurrence of severe COVID‐19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID‐19 patients, which has important clinical value.

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