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Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram
Venous thromboembolism (VTE) is a life-threatening postoperative complication of malignant tumors. We identified risk factors for postoperative VTE in patients undergoing radical resection of colorectal cancer (CRC) and constructed and validated a clinical prediction model. Clinical data of 982 pati...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668569/ https://www.ncbi.nlm.nih.gov/pubmed/37997283 http://dx.doi.org/10.1177/10760296231216966 |
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author | Wu, Yanan Wang, Lu Yin, Qiaoli Deng, Liqin Ma, Junyang Tian, Xiaoxia |
author_facet | Wu, Yanan Wang, Lu Yin, Qiaoli Deng, Liqin Ma, Junyang Tian, Xiaoxia |
author_sort | Wu, Yanan |
collection | PubMed |
description | Venous thromboembolism (VTE) is a life-threatening postoperative complication of malignant tumors. We identified risk factors for postoperative VTE in patients undergoing radical resection of colorectal cancer (CRC) and constructed and validated a clinical prediction model. Clinical data of 982 patients undergoing radical resection of CRC from September 1, 2020, to March 31, 2022, in Ningxia Medical University General Hospital were analyzed retrospectively. Patients were randomly divided into training (n = 617) and validation groups (n = 264). Data included baseline characteristics, preoperative complications, examination results, and intraoperative and postoperative indicators. Logistic regression analysis was used to determine risk factors, build a predictive model, and draw a predictive nomogram (CRSPOT). Receiver operating characteristics (ROC) curve was used to calculate the area under the curve (AUC) for evaluating the model's predictive ability. Independent risk factors for postoperative VTE were as follows: postoperative hemoglobin of <10 g/L (odds ratio [OR] 0.413, 95% confidence interval [CI] 0.220–0.777), postoperative D-dimer of ≥3.5μg/mL (OR 2.156, 95% CI 1.145–4.061), BMI of ≥25 kg/m(2) (OR 2.313, 95% CI 1.225–4.369), operation time of ≥4 h (OR 2.292, 95% CI 1.232–4.262), lower extremity varicose veins (OR 4.499, 95% CI 1.764–11.476), postoperative ileus (OR 5.760, 95% CI 2.031–16.337), and postoperative hypoxemia (OR 9.230, 95% CI 4.562–18.672). The nomogram's AUC was 0.826, demonstrating a reliable predictive ability. The CRSPOT nomogram reliably predicts postoperative VTE in patients undergoing radical resection of CRC, identifying high-risk patients early, allowing early implementation of antithrombotic strategies, and helping to reduce the incidence and mortality of postoperative VTE. |
format | Online Article Text |
id | pubmed-10668569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-106685692023-11-23 Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram Wu, Yanan Wang, Lu Yin, Qiaoli Deng, Liqin Ma, Junyang Tian, Xiaoxia Clin Appl Thromb Hemost Original Manuscript Venous thromboembolism (VTE) is a life-threatening postoperative complication of malignant tumors. We identified risk factors for postoperative VTE in patients undergoing radical resection of colorectal cancer (CRC) and constructed and validated a clinical prediction model. Clinical data of 982 patients undergoing radical resection of CRC from September 1, 2020, to March 31, 2022, in Ningxia Medical University General Hospital were analyzed retrospectively. Patients were randomly divided into training (n = 617) and validation groups (n = 264). Data included baseline characteristics, preoperative complications, examination results, and intraoperative and postoperative indicators. Logistic regression analysis was used to determine risk factors, build a predictive model, and draw a predictive nomogram (CRSPOT). Receiver operating characteristics (ROC) curve was used to calculate the area under the curve (AUC) for evaluating the model's predictive ability. Independent risk factors for postoperative VTE were as follows: postoperative hemoglobin of <10 g/L (odds ratio [OR] 0.413, 95% confidence interval [CI] 0.220–0.777), postoperative D-dimer of ≥3.5μg/mL (OR 2.156, 95% CI 1.145–4.061), BMI of ≥25 kg/m(2) (OR 2.313, 95% CI 1.225–4.369), operation time of ≥4 h (OR 2.292, 95% CI 1.232–4.262), lower extremity varicose veins (OR 4.499, 95% CI 1.764–11.476), postoperative ileus (OR 5.760, 95% CI 2.031–16.337), and postoperative hypoxemia (OR 9.230, 95% CI 4.562–18.672). The nomogram's AUC was 0.826, demonstrating a reliable predictive ability. The CRSPOT nomogram reliably predicts postoperative VTE in patients undergoing radical resection of CRC, identifying high-risk patients early, allowing early implementation of antithrombotic strategies, and helping to reduce the incidence and mortality of postoperative VTE. SAGE Publications 2023-11-23 /pmc/articles/PMC10668569/ /pubmed/37997283 http://dx.doi.org/10.1177/10760296231216966 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Wu, Yanan Wang, Lu Yin, Qiaoli Deng, Liqin Ma, Junyang Tian, Xiaoxia Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title | Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title_full | Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title_fullStr | Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title_full_unstemmed | Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title_short | Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram |
title_sort | establishment and validation of a postoperative vte prediction model in patients with colorectal cancer undergoing radical resection: crspot nomogram |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668569/ https://www.ncbi.nlm.nih.gov/pubmed/37997283 http://dx.doi.org/10.1177/10760296231216966 |
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