Nomogram for predicting postoperative deep vein thrombosis in patients with spinal fractures caused by high-energy injuries
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..
OBJECTIVE: Deep venous thrombosis (DVT) is a common complication in patients with spinal fractures caused by high-energy injuries. Early identification of patients at high risk of postoperative DVT is essential for the prevention of thrombosis. This study aimed to develop and validate a prediction model based on a nomogram to predict DVT in patients with spinal fractures caused by high-energy injuries.
METHODS: Clinical data were collected from 936 patients admitted to our hospital between January 2016 and December 2021 with spinal fractures caused by high-energy injuries. Multivariate logistic regression analysis was used to identify the risk factors for postoperative DVT and to develop a nomogram. The predictive performance of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve.
RESULTS: The incidence of preoperative DVT was 15.38% (144/936). The postoperative incidence of DVT was 20.5% (192/936). The multivariate analysis revealed that age, operation time, blood transfusion, duration of bed rest, American Spinal Injury Association (ASIA) score and D-dimer were risk factors for postoperative DVT. The area under the ROC curve of the nomogram was 0.835 and the calibration curve showed good calibration.
CONCLUSIONS: The nomogram showed a good ability to predict postoperative DVT in patients with spinal fractures caused by high-energy injuries, which may benefit pre- and postoperative DVT prophylaxis strategy development.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:144 |
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| Enthalten in: |
Archives of orthopaedic and trauma surgery - 144(2024), 1 vom: 21. Jan., Seite 171-177 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lv, Bing [VerfasserIn] |
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| Links: |
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| Themen: |
Deep vein thrombosis |
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| Anmerkungen: |
Date Completed 09.01.2024 Date Revised 09.01.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s00402-023-05085-5 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM362858128 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. | ||
| 520 | |a OBJECTIVE: Deep venous thrombosis (DVT) is a common complication in patients with spinal fractures caused by high-energy injuries. Early identification of patients at high risk of postoperative DVT is essential for the prevention of thrombosis. This study aimed to develop and validate a prediction model based on a nomogram to predict DVT in patients with spinal fractures caused by high-energy injuries | ||
| 520 | |a METHODS: Clinical data were collected from 936 patients admitted to our hospital between January 2016 and December 2021 with spinal fractures caused by high-energy injuries. Multivariate logistic regression analysis was used to identify the risk factors for postoperative DVT and to develop a nomogram. The predictive performance of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve | ||
| 520 | |a RESULTS: The incidence of preoperative DVT was 15.38% (144/936). The postoperative incidence of DVT was 20.5% (192/936). The multivariate analysis revealed that age, operation time, blood transfusion, duration of bed rest, American Spinal Injury Association (ASIA) score and D-dimer were risk factors for postoperative DVT. The area under the ROC curve of the nomogram was 0.835 and the calibration curve showed good calibration | ||
| 520 | |a CONCLUSIONS: The nomogram showed a good ability to predict postoperative DVT in patients with spinal fractures caused by high-energy injuries, which may benefit pre- and postoperative DVT prophylaxis strategy development | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Deep vein thrombosis | |
| 650 | 4 | |a High-energy injury | |
| 650 | 4 | |a Nomogram | |
| 650 | 4 | |a Prediction model | |
| 650 | 4 | |a Spinal fracture | |
| 700 | 1 | |a Wang, Haiying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Zipeng |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Weifeng |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Gefeng |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xiangdong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Cheng |e verfasserin |4 aut | |
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