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The value of platelet parameters, fibrinogen and D-dimer in the diagnosis of deep vein thrombosis
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Yue Zhang1, Xue Qi2, Xiang Liu3, Xiao-Min Liu4, *, Xiao-Shan Zhang1
Medical Journal of Chinese People’s Liberation Army | 2021, 46(9) : 906 - 911
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Medical Journal of Chinese People’s Liberation Army | 2021, 46(9): 906-911
Clinical Research
The value of platelet parameters, fibrinogen and D-dimer in the diagnosis of deep vein thrombosis
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Yue Zhang1, Xue Qi2, Xiang Liu3, Xiao-Min Liu4, *, Xiao-Shan Zhang1
Affiliations
  • 1Department of Peripheral Vascular Diseases, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
  • 2Department of General Surgery, the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China
  • 3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
  • 4Sports Injury Orthopaedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
Published: 2021-09-28 doi: 10.11855/j.issn.0577-7402.2021.09.10
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Objective To investigate the diagnostic value of platelet parameters, fibrinogen (Fib) and D-dimer for deep venous thrombosis (DVT). Methods Six hundred and sixty-seven patients with DVT hospitalized in the Peripheral Vascular Disease Department of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from June 2014 to June 2019 were selected as the observation group, and 200 outpatients without DVT were selected as the control group. The general data, platelet parameters [platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), platelet hematocrit (PCT)and platelet-large cell ratio (P-LCR)], FIB and D-dimer of the subjects were collected, and the differences in the above indexes were compared between the two groups. Logistic regression was used to analyze the risk factors of DVT, Pearson correlation was used to analyze the relation between PLT, MPV, PDW, PCT, P-LCR, Fib and D-dimer, and area under ROC curve (AUC) were used to analyze the diagnostic value of the above indexes for DVT. Results Compared with control group, the levels of MPV, PDW and P-LCR of DVT group decreased (P<0.05), the levels of Fib and D-dimer of DVT group increased, and the differences were statistically significant (P<0.05). Fib and D-dimer were not only risk factors of DVT (OR=1.493, 28.154, P<0.05), but also independent risk factors of DVT (OR=1.739, 4.837, P<0.01); P-LCR was the protective factor of DVT (OR=0.914, P<0.05). PLT was negatively correlated with MPV, PDW and P-LCR (r=–0.269, –0.233, –0.120, P<0.01), positively correlated with PCT (r=0.062, P<0.01); MPV was positively correlated with PDW and P-LCR (r=0.945, 0.597, P<0.01); PDW was positively correlated with P-LCR (r=0.582,P<0.01) and negatively correlated with D-dimer (r=–0.551, P<0.01). MPV, PDW, P-LCR and Fib had low diagnostic value for DVT(AUC was 0.588, 0.606, 0.588 and 0.699, P<0.01), and D-dimer had medium diagnostic value (AUC was 0.882, P<0.01); MPV, PDW and P-LCR combined with Fib could improve the sensitivity of Fib diagnosis alone (53.3%-54.7% vs. 49.6%), and combined with D-dimer could improve the specificity of D-dimer diagnosis alone (88.1%-89.0% vs. 81.4%). Conclusion Platelet parameters (MPV,PDW, P-LCR), Fib and D-dimer have certain reference value for clinical diagnosis and disease condition evaluation of DVT.

deep venous thrombosis  /  platelet parameters  /  coagulation function  /  diagnostic value
Yue Zhang, Xue Qi, Xiang Liu, Xiao-Min Liu, Xiao-Shan Zhang. The value of platelet parameters, fibrinogen and D-dimer in the diagnosis of deep vein thrombosis[J]. Medical Journal of Chinese People’s Liberation Army, 2021 , 46 (9) : 906 -911 . DOI: 10.11855/j.issn.0577-7402.2021.09.10
  • National Natural Science Foundation of China(81774311)
  • Project of Science and Technology Development Plan of Traditional Chinese Medicine in Shandong Province(2019-0149)
Year 2021 volume 46 Issue 9
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Article Info
doi: 10.11855/j.issn.0577-7402.2021.09.10
  • Receive Date:2021-01-19
  • Online Date:2025-12-19
  • Published:2021-09-28
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History
  • Received:2021-01-19
  • Revised:2021-07-31
Funding
National Natural Science Foundation of China(81774311)
Project of Science and Technology Development Plan of Traditional Chinese Medicine in Shandong Province(2019-0149)
Affiliations
    1Department of Peripheral Vascular Diseases, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
    2Department of General Surgery, the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China
    3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
    4Sports Injury Orthopaedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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