A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters
ObjectiveTo develop and validate a nomogram for predicting non-retrieval of the short-term retrievable inferior vena cava (IVC) filters.MethodsIn this study, univariate and multivariate logistic regression analyses were performed to identify predictive factors of short-term retrievable filter (Aegis...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2024.1393410/full |
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| author | Lihao Qin Xiaocheng Gu Caifang Ni Kai Wang Tongqing Xue Zhongzhi Jia Yun Wang |
| author_facet | Lihao Qin Xiaocheng Gu Caifang Ni Kai Wang Tongqing Xue Zhongzhi Jia Yun Wang |
| author_sort | Lihao Qin |
| collection | DOAJ |
| description | ObjectiveTo develop and validate a nomogram for predicting non-retrieval of the short-term retrievable inferior vena cava (IVC) filters.MethodsIn this study, univariate and multivariate logistic regression analyses were performed to identify predictive factors of short-term retrievable filter (Aegisy or OptEase) non-retrieval, and a nomogram was then established based on these factors. The nomogram was created based on data from a training cohort and validated based on data from a validation cohort. The predictive value of the nomogram was estimated using area under the curve (AUC) and calibration curve analysis (Hosmer-Lemeshow test).ResultsA total of 1,321 patients who had undergone placement of short-term retrievable filters (Aegisy or OptEase) were included in the analysis. The overall retrieval rate was 68.7%. Age, proximal and distal deep vein thrombosis (DVT) vs. distal DVT, active cancer, history of long-term immobilization, VTE was detected in the intensive care unit, active/recurrent bleeding, IVC thrombosis, and history of venous thromboembolism were independent predictive risk factors for non-retrieval of filters. Interventional therapy for DVT, acute fracture, and interval of ≥14 days between filter placement and patient discharge were independent protective factors for non-retrieval of filters. The nomogram based on these factors demonstrated good ability to predict the non-retrieval of filters (training cohort AUC = 0.870; validation cohort AUC = 0.813.ConclusionThis nomogram demonstrated strong predictive accuracy and discrimination capability. This model may help clinicians identify patients who are not candidates for short-term retrievable filter placement and help clinicians make timely, individualized decisions in filter choice strategies. |
| format | Article |
| id | doaj-art-115ecc5819e3450785614cdfd60af14c |
| institution | Kabale University |
| issn | 2297-055X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj-art-115ecc5819e3450785614cdfd60af14c2024-12-06T06:50:30ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2024-12-011110.3389/fcvm.2024.13934101393410A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filtersLihao Qin0Xiaocheng Gu1Caifang Ni2Kai Wang3Tongqing Xue4Zhongzhi Jia5Yun Wang6Department of Interventional and Vascular Surgery, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Interventional and Vascular Surgery, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Interventional Radiology, First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional and Vascular Surgery, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Interventional Radiology, Huaian Hospital of Huai'an City (Huaian Cancer Hospital), Huai'an, ChinaDepartment of Interventional and Vascular Surgery, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Interventional and Vascular Surgery, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaObjectiveTo develop and validate a nomogram for predicting non-retrieval of the short-term retrievable inferior vena cava (IVC) filters.MethodsIn this study, univariate and multivariate logistic regression analyses were performed to identify predictive factors of short-term retrievable filter (Aegisy or OptEase) non-retrieval, and a nomogram was then established based on these factors. The nomogram was created based on data from a training cohort and validated based on data from a validation cohort. The predictive value of the nomogram was estimated using area under the curve (AUC) and calibration curve analysis (Hosmer-Lemeshow test).ResultsA total of 1,321 patients who had undergone placement of short-term retrievable filters (Aegisy or OptEase) were included in the analysis. The overall retrieval rate was 68.7%. Age, proximal and distal deep vein thrombosis (DVT) vs. distal DVT, active cancer, history of long-term immobilization, VTE was detected in the intensive care unit, active/recurrent bleeding, IVC thrombosis, and history of venous thromboembolism were independent predictive risk factors for non-retrieval of filters. Interventional therapy for DVT, acute fracture, and interval of ≥14 days between filter placement and patient discharge were independent protective factors for non-retrieval of filters. The nomogram based on these factors demonstrated good ability to predict the non-retrieval of filters (training cohort AUC = 0.870; validation cohort AUC = 0.813.ConclusionThis nomogram demonstrated strong predictive accuracy and discrimination capability. This model may help clinicians identify patients who are not candidates for short-term retrievable filter placement and help clinicians make timely, individualized decisions in filter choice strategies.https://www.frontiersin.org/articles/10.3389/fcvm.2024.1393410/fullinferior vena cavafilterretrievalrisk factorOptEasenomogram |
| spellingShingle | Lihao Qin Xiaocheng Gu Caifang Ni Kai Wang Tongqing Xue Zhongzhi Jia Yun Wang A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters Frontiers in Cardiovascular Medicine inferior vena cava filter retrieval risk factor OptEase nomogram |
| title | A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters |
| title_full | A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters |
| title_fullStr | A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters |
| title_full_unstemmed | A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters |
| title_short | A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters |
| title_sort | nomogram model to predict non retrieval of short term retrievable inferior vena cava filters |
| topic | inferior vena cava filter retrieval risk factor OptEase nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2024.1393410/full |
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