World Journal of Emergency Medicine ›› 2022, Vol. 13 ›› Issue (3): 189-195.doi: 10.5847/wjem.j.1920-8642.2022.040
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Peng-chao Guo1, Nan Li2(), Hui-ming Zhong1, Guang-feng Zhao1
Received:
2021-08-29
Accepted:
2022-01-10
Online:
2022-05-13
Published:
2022-05-01
Contact:
Nan Li
E-mail:2515141@zju.edu.cn
Peng-chao Guo, Nan Li, Hui-ming Zhong, Guang-feng Zhao. Clinical effectiveness of a pneumatic compression device combined with low-molecular-weight heparin for the prevention of deep vein thrombosis in trauma patients: A single-center retrospective cohort study[J]. World Journal of Emergency Medicine, 2022, 13(3): 189-195.
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URL: http://wjem.com.cn/EN/10.5847/wjem.j.1920-8642.2022.040
Table 1.
Comparison of basic data between groups
Variables | Control group (n=126) | Observation group (n=126) | t/Z/χ2 | P-value |
---|---|---|---|---|
Sex Female, n (%) Male, n (%) | 59 (46.8) | 72 (57.1) | 0.910a | 0.340 |
67 (53.2) | 54 (42.9) | |||
Age, years, mean±SD | 48.3±6.4 | 53.7±5.9 | 0.219b | 0.873 |
Hypertension, n | 21 (16.7) | 24 (19.1) | 0.311a | 0.771 |
Diabetes, n | 7 (5.6) | 6 (4.8) | 1.279a | 0.204 |
Antiplatelet therapy, n | 13 (10.3) | 14 (11.1) | 0.584a | 0.445 |
Oral anticoagulant, n | 15 (11.9) | 11 (8.7) | 0.727a | 0.469 |
Caprini risk scores, n High risk (3-4) Highest risk (≥5) | 59 (46.8) 67 (53.2) | 53 (42.1) 73 (57.9) | -0.759a | 0.448 |
Glasgow Coma Scale score, n 13 14 15 | 22 (17.5) 31 (24.6) | 26 (20.6) 29 (23.1) | -0.408c | 0.684 |
73 (57.9) | 71 (56.3) | |||
Clavicle fracture type, n Mid fracture Acromion fracture | 74 (58.7) 52 (41.3) | 87 (69.1) 39 (30.9) | -1.702a | 0.089 |
Table 2.
Multivariate logistic regression analysis results of DVT in trauma patients
Variables | β | S.E. | Wald | Sig. | OR | 95% CI |
---|---|---|---|---|---|---|
Sex | 0.505 | 0.463 | 1.189 | 0.276 | 1.657 | 0.669-4.106 |
Age | -0.016 | 0.015 | 1.075 | 0.300 | 0.984 | 0.955-1.014 |
Baseling disease | -0.117 | 0.555 | 0.045 | 0.833 | 0.889 | 0.300-2.638 |
Caprini risk score | 0.017 | 0.088 | 0.039 | 0.844 | 1.017 | 0.856-1.210 |
Length of stay | 0.121 | 0.082 | 2.189 | 0.139 | 1.129 | 0.961-1.325 |
GCS | 0.156 | 0.279 | 0.314 | 0.576 | 1.169 | 0.676-2.021 |
Blood loss | 0.006 | 0.017 | 0.130 | 0.719 | 1.006 | 0.973-1.041 |
Drugs | 0.300 | 0.806 | 0.139 | 0.709 | 1.350 | 0.278-6.550 |
APTT | 0.032 | 0.052 | 0.379 | 0.538 | 1.033 | 0.932-1.144 |
PLT | -0.016 | 0.010 | 2.785 | 0.095 | 0.984 | 0.965-1.003 |
PCD | 1.764 | 0.598 | 8.701 | 0.003* | 5.833 | 1.807-18.828 |
Fracture type | -0.145 | 0.507 | 0.081 | 0.775 | 0.865 | 0.321-2.335 |
Table 3.
ROC curve analysis of variables in the prevention of deep vein thrombosis by PCD
Variables | Cut-off | Sensitivity | Specificity | Youden Index | AUC (95% CI) | P-value |
---|---|---|---|---|---|---|
APTT | 37.5 s | 0.849 | 0.857 | 0.378 | 0.628 (0.407-0.849) | <0.05 |
Caprini risk score | 6.5 | 0.454 | 0.286 | 0.168 | 0.520 (0.291-0.750) | 0.257 |
Length of stay | 7.5 d | 0.429 | 0.286 | 0.143 | 0.466 (0.248-0.683) | 0.602 |
GCS | 13.5 | 0.647 | 0.857 | -0.210 | 0.354 (0.156-0.552) | 0.196 |
Blood loss | 35.5 mL | 0.387 | 0.286 | 0.101 | 0.441 (0.256-0.627) | 0.076 |
Infection rate | 38.85% | 0.244 | 0.429 | -0.185 | 0.297 (0.076-0.518) | 0.072 |
PLT | 124×109/L | 0.924 | 0.571 | 0.353 | 0.700 (0.495-0.904) | <0.05 |
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