Predicting Non-Retrieval of Inferior Vena Cava Filters
Author Information
Author(s): Qin Lihao, Gu Xiaocheng, Ni Caifang, Wang Kai, Xue Tongqing, Jia Zhongzhi, Wang Yun
Primary Institution: The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University
Hypothesis
To develop and validate a nomogram for predicting non-retrieval of the short-term retrievable inferior vena cava (IVC) filters.
Conclusion
The nomogram demonstrated strong predictive accuracy and can help clinicians identify patients who are not candidates for short-term retrievable filter placement.
Supporting Evidence
- The overall retrieval rate was 68.7%.
- Age and active cancer were identified as independent predictive risk factors for non-retrieval.
- The nomogram showed good predictive ability with AUC values of 0.870 and 0.813 for training and validation cohorts, respectively.
- Interventional therapy for DVT was found to be a protective factor against non-retrieval.
Takeaway
Doctors created a tool to help them figure out which patients might not be able to have their temporary filters taken out after use.
Methodology
Univariate and multivariate logistic regression analyses were performed to identify predictive factors, and a nomogram was established based on these factors.
Potential Biases
The study may not account for all potential risk factors affecting filter retrieval.
Limitations
The model was only validated in the same region, and the performance in regions with different management strategies is unknown.
Participant Demographics
The study included 1,321 patients who underwent placement of short-term retrievable filters, with a mix of ages and medical histories.
Statistical Information
P-Value
p<0.05
Confidence Interval
95% CI: 0.845–0.892
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website