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Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism
BACKGROUND: Venous thromboembolism (VTE) is a leading cause of morbidity and mortality during pregnancy and the puerperium. The vast majority of VTE occurs after childbirth. China has not yet established standard risk assessment model for postpartum venous thromboembolism (VTE), the Royal College of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259017/ https://www.ncbi.nlm.nih.gov/pubmed/37308997 http://dx.doi.org/10.1186/s12959-023-00510-6 |
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author | Li, Hua Wan, Sheng Pei, Jindan Zhang, Lu Peng, Jing Che, Ronghua |
author_facet | Li, Hua Wan, Sheng Pei, Jindan Zhang, Lu Peng, Jing Che, Ronghua |
author_sort | Li, Hua |
collection | PubMed |
description | BACKGROUND: Venous thromboembolism (VTE) is a leading cause of morbidity and mortality during pregnancy and the puerperium. The vast majority of VTE occurs after childbirth. China has not yet established standard risk assessment model for postpartum venous thromboembolism (VTE), the Royal College of Obstetricians and Gynecologists (RCOG) risk assessment model (RAM) is commonly used in clinic at present. Herein, we aimed to evaluate the validity of the RCOG RAM in the Chinese population and try to formulate a local risk assessment model by combining with other biomarkers for VTE prophylaxis. METHODS: The retrospective study was conducted from January 2019 to December 2021at Shanghai First Maternity and Infant Hospital which has approximately 30,000 births annually, and the incidence of VTE, differences between RCOG-recommended risk factors, and other biological indicators from medical records were evaluated. RESULTS: The study included VTE (n = 146) and non-VTE(n = 413) women who examined by imaging for suspicion of postpartum VTE. There was no statistical difference in the incidence rate of postpartum VTE between the low-score group (23.8%) and the high-score group (28%) after stratification by RCOG RAM. However, we found that cesarean section (in the low-score group), white blood cell (WBC) ≥ 8.64*10^9/L (in the high-score group), low-density lipoprotein(LDL) ≥ 2.70 mmol/L, and D-dimer ≥ 3.04 mg/L (in both groups) were highly associated with postpartum VTE. Subsequently, the validity of the RCOG RAM combined with biomarkers as a model for the risk assessment of VTE was estimated and the results showed that this model has good accuracy, sensitivity, and specificity. CONCLUSIONS: Our study indicated that the RCOG RAM was not the best strategy for predicting postpartum VTE. Combined with some biomarkers (including the value of LDL and D-Dimer, and WBC count), the RCOG RAM is more efficient when identifying high-risk groups of postpartum VTE in the Chinese population. TRIAL REGISTRATION: This purely observational study does not require registration based on ICMJE guidelines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00510-6. |
format | Online Article Text |
id | pubmed-10259017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102590172023-06-13 Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism Li, Hua Wan, Sheng Pei, Jindan Zhang, Lu Peng, Jing Che, Ronghua Thromb J Research BACKGROUND: Venous thromboembolism (VTE) is a leading cause of morbidity and mortality during pregnancy and the puerperium. The vast majority of VTE occurs after childbirth. China has not yet established standard risk assessment model for postpartum venous thromboembolism (VTE), the Royal College of Obstetricians and Gynecologists (RCOG) risk assessment model (RAM) is commonly used in clinic at present. Herein, we aimed to evaluate the validity of the RCOG RAM in the Chinese population and try to formulate a local risk assessment model by combining with other biomarkers for VTE prophylaxis. METHODS: The retrospective study was conducted from January 2019 to December 2021at Shanghai First Maternity and Infant Hospital which has approximately 30,000 births annually, and the incidence of VTE, differences between RCOG-recommended risk factors, and other biological indicators from medical records were evaluated. RESULTS: The study included VTE (n = 146) and non-VTE(n = 413) women who examined by imaging for suspicion of postpartum VTE. There was no statistical difference in the incidence rate of postpartum VTE between the low-score group (23.8%) and the high-score group (28%) after stratification by RCOG RAM. However, we found that cesarean section (in the low-score group), white blood cell (WBC) ≥ 8.64*10^9/L (in the high-score group), low-density lipoprotein(LDL) ≥ 2.70 mmol/L, and D-dimer ≥ 3.04 mg/L (in both groups) were highly associated with postpartum VTE. Subsequently, the validity of the RCOG RAM combined with biomarkers as a model for the risk assessment of VTE was estimated and the results showed that this model has good accuracy, sensitivity, and specificity. CONCLUSIONS: Our study indicated that the RCOG RAM was not the best strategy for predicting postpartum VTE. Combined with some biomarkers (including the value of LDL and D-Dimer, and WBC count), the RCOG RAM is more efficient when identifying high-risk groups of postpartum VTE in the Chinese population. TRIAL REGISTRATION: This purely observational study does not require registration based on ICMJE guidelines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-023-00510-6. BioMed Central 2023-06-12 /pmc/articles/PMC10259017/ /pubmed/37308997 http://dx.doi.org/10.1186/s12959-023-00510-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Hua Wan, Sheng Pei, Jindan Zhang, Lu Peng, Jing Che, Ronghua Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title | Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title_full | Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title_fullStr | Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title_full_unstemmed | Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title_short | Use of the RCOG risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
title_sort | use of the rcog risk assessment model and biomarkers to evaluate the risk of postpartum venous thromboembolism |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259017/ https://www.ncbi.nlm.nih.gov/pubmed/37308997 http://dx.doi.org/10.1186/s12959-023-00510-6 |
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