Journal of Tuberculosis and Lung Disease ›› 2021, Vol. 2 ›› Issue (4): 355-360.doi: 10.19983/j.issn.2096-8493.20210133
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WU Di, FAN Xin-xin, SHEN Jian-shan, LIN You-fei, CHEN Xiao-hong, HUANG Ming-xiang, CHEN Li-zhou()
Received:
2021-10-21
Online:
2021-12-30
Published:
2022-01-06
Contact:
CHEN Li-zhou
E-mail:fkyyclz@163.com
WU Di, FAN Xin-xin, SHEN Jian-shan, LIN You-fei, CHEN Xiao-hong, HUANG Ming-xiang, CHEN Li-zhou. Diagnostic value of combined detection of coagulation screening indicators and D-dimer in clinical classification of COVID-19[J]. Journal of Tuberculosis and Lung Disease , 2021, 2(4): 355-360. doi: 10.19983/j.issn.2096-8493.20210133
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组别 | D-二聚体(mg/L) | TT(s) | PT(s) | Fib(g/L) | APTT(s) |
---|---|---|---|---|---|
轻症组 | 0.04(0.02,0.16) | 12.58(11.93,13.59) | 11.65(11.20,12.20) | 3.36(2.76,3.91) | 28.25(25.50,30.55) |
重症组 | 0.99(0.67,1.63) | 13.05(12.41,13.70) | 12.40(11.70,13.20) | 3.99(3.23,4.75) | 27.20(24.80,34.00) |
Z值 | -8.780 | -2.450 | -4.500 | -3.600 | 0.060 |
P值 | <0.001 | 0.014 | <0.001 | <0.001 | 0.951 |
检测方法 | 敏感度 (%) | 特异度 (%) | 约登 指数 |
---|---|---|---|
单独检测 | |||
D-二聚体 | 86.7 | 88.9 | 0.756 |
TT | 72.0 | 50.0 | 0.220 |
Fib | 52.0 | 76.4 | 0.284 |
PT | 61.3 | 76.4 | 0.377 |
串联检测 | |||
D-二聚体+TT | 62.7 | 94.4 | 0.571 |
D-二聚体+Fib | 42.7 | 98.6 | 0.413 |
D-二聚体+PT | 100.0 | 0.0 | 0.000 |
D-二聚体+TT+Fib | 29.3 | 100.0 | 0.293 |
D-二聚体+TT+PT | 37.3 | 98.6 | 0.359 |
D-二聚体+Fib+PT | 28.0 | 98.6 | 0.266 |
D-二聚体+TT+Fib+PT | 17.3 | 100.0 | 0.173 |
并联检测 | |||
D-二聚体+TT | 96.0 | 44.4 | 0.404 |
D-二聚体+Fib | 96.0 | 66.7 | 0.627 |
D-二聚体+PT | 100.0 | 0.0 | 0.000 |
D-二聚体+TT+Fib | 98.7 | 31.9 | 0.306 |
D-二聚体+TT+PT | 97.3 | 40.3 | 0.376 |
D-二聚体+Fib+PT | 98.7 | 56.9 | 0.556 |
D-二聚体+TT+Fib+PT | 98.7 | 31.9 | 0.306 |
[1] | 国家卫生健康委办公厅. 国家卫生健康委办公厅关于印发新型冠状病毒肺炎防控方案(第四版)的通知. 国卫办疾控函〔2020〕109号. 2020-02-06. |
[2] |
肖武强, 苏立杰, 杨璐瑜, 等. 纤维蛋白原联合D-二聚体对新型冠状病毒肺炎预后的预测价值. 临床肺科杂志, 2021, 26(5):658-662. doi: 10.3969/j.issn.1009-6663.2021.05.003.
doi: 10.3969/j.issn.1009-6663.2021.05.003 |
[3] |
Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, 2020, 395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5.
doi: 10.1016/S0140-6736(20)30183-5 URL |
[4] |
Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet, 2020, 395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7.
doi: 10.1016/S0140-6736(20)30211-7 URL |
[5] |
吴迪, 林友飞, 陈晓红, 等. 白介素27和腺苷脱氢酶单独及联合检测对结核性胸膜炎诊断价值. 中国防痨杂志, 2019, 41(12):1246-1251. doi: 10.3969/j.issn.1000-6621.2019.12.003.
doi: 10.3969/j.issn.1000-6621.2019.12.003 |
[6] |
刘茜, 王荣帅, 屈国强, 等. 新型冠状病毒肺炎死亡尸体系统解剖大体观察报告. 法医学杂志, 2020, 36(1):21-23. doi: 10.12116/j.issn.1004-5619.2020.01.005.
doi: 10.12116/j.issn.1004-5619.2020.01.005 |
[7] |
Middleton EA, He XY, Denorme F, et al. Neutrophil extracellular traps contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome. Blood, 2020, 136(10):1169-1179. doi: 10.1182/blood.2020007008.
doi: 10.1182/blood.2020007008 URL |
[8] |
朱洁云, 钟枝梅, 吉攀, 等. COVID-19患者凝血特征的Meta分析. 中华检验医学杂志, 2021, 44(3):239-245. doi: 10.3760/cma.j.cn114452-20200507-00455.
doi: 10.3760/cma.j.cn114452-20200507-00455 |
[9] |
宋景春, 王岗, 张伟, 等. 新型冠状病毒肺炎重症患者相关凝血功能障碍诊疗专家共识. 解放军医学杂志, 2020, 45(4):335-344. doi: 10.11855/j.issn.0577-7402.2020.04.01.
doi: 10.11855/j.issn.0577-7402.2020.04.01 |
[10] |
付忠晓, 黄俊, 王长征, 等. COVID-19患者血浆凝血指标及D-二聚体水平检测对临床分型的鉴别价值. 现代检验医学杂志, 2021, 36(2):118-121, 147. doi: 10.3969/j.issn.1671-7414.2021.02.028.
doi: 10.3969/j.issn.1671-7414.2021.02.028 |
[11] |
邓国防, 雷建平. 新型冠状病毒肺炎诊治要点浅析. 结核病与肺部健康杂志, 2020, 9(1):7-10. doi: 10.3969/j.issn.2095-3755.2020.01.003.
doi: 10.3969/j.issn.2095-3755.2020.01.003 |
[12] |
Wang D, Hu B, Hu C, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA, 2020, 323(11):1061-1069. doi: 10.1001/jama.2020.1585.
doi: 10.1001/jama.2020.1585 URL |
[13] |
Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet, 2020, 395(10229):1054-1062. doi: 10.1016/S0140-6736(20)30566-3.
doi: S0140-6736(20)30566-3 pmid: 32171076 |
[14] |
Hong LZ, Shou ZX, Zheng DM, et al. The most important biomarker associated with coagulation and inflammation among COVID-19 patients. Mol Cell Biochem, 2021, 476(7):2877-2885. doi: 10.1007/s11010-021-04122-4.
doi: 10.1007/s11010-021-04122-4 URL |
[15] |
Connors JM, Levy JH. COVID-19 and its implications for thrombosis and anticoagulation. Blood, 2020, 135(23):2033-2040. doi: 10.1182/blood.2020006000.
doi: 10.1182/blood.2020006000 pmid: 32339221 |
[16] |
Medcalf RL, Keragala CB, Myles PS. Fibrinolysis and COVID-19: A plasmin paradox. J Thromb Haemost, 2020, 18(9):2118-2122. doi: 10.1111/jth.14960.
doi: 10.1111/jth.14960 URL |
[17] |
Lippi G, Favaloro EJ. D-dimer is Associated with Severity of Coronavirus Disease 2019: A Pooled Analysis. Thromb Haemost, 2020, 120(5):876-878. doi: 10.1055/s-0040-1709650.
doi: 10.1055/s-0040-1709650 URL |
[18] |
Iba T, Levy JH, Levi M, et al. Coagulopathy in COVID-19. J Thromb Haemost, 2020, 18(9):2103-2109. doi: 10.1111/jth.14975.
doi: 10.1111/jth.14975 URL |
[19] |
Tang N, Bai H, Chen X, et al. Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy. J Thromb Haemost, 2020, 18(5):1094-1099. doi: 10.1111/jth.14817.
doi: 10.1111/jth.14817 URL |
[20] |
Wang Y, Yao L, Zhang JP, et al. Clinical characteristics and laboratory indicator analysis of 67 COVID-19 pneumonia patients in Suzhou, China. BMC Infect Dis, 2020, 20(1):747. doi: 10.1186/s12879-020-05468-8.
doi: 10.1186/s12879-020-05468-8 URL |
[21] |
Getu S, Tiruneh T, Andualem H, et al. Coagulopathy in SARS-CoV-2 Infected Patients: Implication for the Management of COVID-19. J Blood Med, 2021, 12:635-643. doi: 10.2147/JBM.S304783.
doi: 10.2147/JBM.S304783 URL |
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