| Literature DB >> 30172264 |
Yang Fu1, Yumei Liu1, Yaxiong Jin1, Hong Jiang1.
Abstract
BACKGROUND: Coagulation and fibrinolysis biomarkers can effectively reflect the dysfunction of coagulation and anticoagulation system, and the changes of their levels were closely related to the hypercoagulable status. The aim of this study is to study the variation tendency of these coagulation and fibrinolysis markers and explore the diagnosis power and clinical value of these biomarker for thrombosis in postoperative lung cancer patients with deep vein catheterization.Entities:
Keywords: Coagulation biomarker; Diagnosis power; Fibrinolysis biomarker; Lung neoplasms; Thrombosis
Mesh:
Substances:
Year: 2018 PMID: 30172264 PMCID: PMC6105356 DOI: 10.3779/j.issn.1009-3419.2018.08.03
Source DB: PubMed Journal: Zhongguo Fei Ai Za Zhi ISSN: 1009-3419
肺癌术后插管患者血栓组与非血栓组临床基本资料比较
The main characteristics of patients in thrombosis group and non-thrombosis group with lung cancer
| Index | Thrombosis group( | Non-thrombosis group( | |
| The data was described as median with interquartile range; TG: triglyceride; TC: total cholesterol; HDL: high-density lipoprotein; LDL: low-density lipoprotein. | |||
| Gender(Male/Female) | 25/4 | 66/23 | > 0.05 |
| Age(yr) | 61(53-64) | 58(49-63) | > 0.05 |
| TG(mmol/L) | 1.36(0.98-2.11) | 1.58(0.97-2.39) | > 0.05 |
| TC(mmol/L) | 2.68(1.94-3.59) | 2.84(1.98-3.75) | > 0.05 |
| HDL(mmol/L) | 0.42(0.28-0.63) | 0.46(0.25-0.77) | > 0.05 |
| LDL(mmol/L) | 1.16(0.74-1.86) | 1.29(0.59-1.92) | > 0.05 |
| Smoking(Y/N) | 20/9 | 52/37 | > 0.05 |
| Drunk(Y/N) | 13/16 | 33/56 | > 0.05 |
| Diabetes mellitus(Y/N) | 3/26 | 8/81 | > 0.05 |
| Hypertesion(Y/N) | 5/24 | 16/73 | > 0.05 |
| Metastasis | 20/9 | 66/23 | > 0.05 |
肺癌术后插管患者发生血栓组与非血栓组常规凝血时间比较
Comparison of traditional blood coagulation indicators in thrombosis group and non-thrombosis group with lung cancer
| Index | Thrombosis group ( | Non-thrombosis group ( | |
| The data was described as median with interquartile range. | |||
| PT (s) | 11.7 (11.23-12.50) | 11.65 (11.05-12.95) | 0.823 |
| APTT (s) | 29.10 (26.53-32.15) | 28.85 (25.38-31.33) | 0.427 |
| TT (s) | 18.2 (17.7-19.1) | 18.3 (17.5-19.1) | 0.786 |
| FIB (g/L) | 3.99 (2.93-6.80) | 3.29 (2.76-4.38) | 0.116 |
| ATIII (%) | 73.6 (46.8-87.1) | 85.9 (73.5-93.6) | 0.073 |
| D-D (mg/L) | 3.24 (1.36-4.70) | 0.84 (0.46-2.36) | 0.000 |
| FDP (mg/L) | 7.5 (5.2-11.3) | 2.5 (2.5-5.4) | 0.000 |
肺癌术后插管患者发生血栓与非血栓组凝血与纤溶标志物的比较
Comparison of blood coagulation indicators in thrombosis group and non-thrombosis group with lung cancer
| Index | Thrombosis group ( | Non-thrombosis group ( | |
| The data was described as median with interquartile range. TM: thrombomodulin; TAT: thrombin-antithrombin complexes; PIC: | |||
| TM (TU/mL) | 10.78 (8.71-13.56) | 8.27 (6.81-9.70) | 0.000 |
| TAT (ng/mL) | 4.15 (1.70-9.66) | 1.84 (1.29-2.53) | 0.000 |
| PIC (μg/mL) | 0.91 (0.68-1.93) | 0.76 (0.54-0.95) | 0.006 |
| t-PAIC (ng/mL) | 7.30 (5.27-12.69) | 5.23 (4.16-6.79) | 0.007 |
1多项凝血纤溶标志物的ROC曲线分析。TM、TAT、PIC、t-PAIC、D-D及FDP的曲线下面积分别为0.770、0.771、0.669、0.671、0.819、0.816(P < 0.05)
ROC analysis of blood coagulation indicators for diagnosisof thromboembolism. Area under the receiver operating characteristic curve (AUROC) for TM (0.770), TAT (0.771), PIC (0.669), t-PAIC (0.671), D-D (0.819), FDP (0.816) (P < 0.05)
凝血纤溶标志物的诊断效能评价
Diagnostic performance comparison of blood coagulation indicators
| Diagnostic performance | TM | TAT | PIC | t-PAIC | D-D | FDP |
| * | ||||||
| The area under the ROC curve (AUC) | 0.77* | 0.771* | 0.669* | 0.671* | 0.819* | 0.816* |
| Cut-off value | 9.40 | 2.43 | 0.85 | 6.30 | 1.87 | 5.80 |
| Sensitivity (Sen) | 69.0% | 72.4% | 62.1% | 58.6% | 72.4% | 75.9% |
| Specificity (Spe) | 67.5% | 73.5% | 61.4% | 63.9% | 71.1% | 75.9% |
| Youden index | 0.37 | 0.46 | 0.24 | 0.23 | 0.44 | 0.52 |
| Negative likelihood ratio (NLR) | 0.46 | 0.38 | 0.62 | 0.65 | 0.39 | 0.32 |
| Positive likelihood ratio (PLR) | 2.12 | 2.73 | 1.61 | 1.62 | 2.51 | 3.15 |
| Negative predictive value (NPV) | 0.86 | 0.89 | 0.83 | 0.83 | 0.88 | 0.88 |
| Positive predictive value (PPV) | 0.40 | 0.47 | 0.35 | 0.36 | 0.42 | 0.43 |