Premal Trivedi, Lei Wang, Evan Carey, Richard Lindrooth, Maria Puello Baron, Jonathan Lindquist, P Michael Ho
{"title":"在美国,低下腔静脉过滤器检索的设施水平变化。","authors":"Premal Trivedi, Lei Wang, Evan Carey, Richard Lindrooth, Maria Puello Baron, Jonathan Lindquist, P Michael Ho","doi":"10.1016/j.jacr.2025.08.005","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Timely retrieval of inferior vena cava (IVC) filters is recommended to reduce complications and optimize outcomes. This study aims to quantify facility-level variation in risk-adjusted IVC filter retrieval across US hospitals and to identify patient- and hospital-level factors associated with nonretrieval.</p><p><strong>Methods: </strong>Medicare beneficiaries undergoing IVC filter implantation were identified in the 100% claims files for years 2016 to 2020. Facility-level variation in device retrieval was quantified using Bayesian hospital profiling. Patient- and hospital-level factors associated with nonretrieval were assessed using logistic regression, adjusting for diagnostic indication, comorbidities, and implantation year.</p><p><strong>Results: </strong>IVC filters were implanted in 119,613 Medicare beneficiaries across 2,485 facilities. Retrieval rates were low: median 6.2% within 3 months and 14.8% within 1 year. Excluding deaths within 3 months (30.2%), retrieval ranged from 0% to 100% across facilities. Among high-volume hospitals (top 25th percentile, implanting ≥13 filters per year), 1-year risk-adjusted retrieval ranged from 0% to 74.5%, mean 20% ± 14.2% (positive skew 0.95). Patient factors associated with IVC filter nonretrieval included age > 80 years (odds ratio 2.98, 95% confidence interval [2.73-3.24]), Black race (1.62, [1.51-1.72]), and Hispanic ethnicity (1.45, [1.16-1.80]). Among hospital factors, nonteaching (1.45 [1.37-1.53]), small bed size (1.37 [1.24-1.50]), and safety-net (1.42 [1.34-1.50]) facilities were strongly associated with IVC filter nonretrieval.</p><p><strong>Discussion: </strong>High mortality within 3 months of IVC filter implantation suggests opportunity to improve patient selection and, potentially, device type choice. There is large facility-level variance underlying low aggregate IVC filter retrieval nationally; a focus on standardizing device surveillance and identifying best practices from high-performing facilities is warranted.</p>","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Facility-Level Variation Underlying Low Inferior Vena Cava Filter Retrieval in the United States.\",\"authors\":\"Premal Trivedi, Lei Wang, Evan Carey, Richard Lindrooth, Maria Puello Baron, Jonathan Lindquist, P Michael Ho\",\"doi\":\"10.1016/j.jacr.2025.08.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Timely retrieval of inferior vena cava (IVC) filters is recommended to reduce complications and optimize outcomes. This study aims to quantify facility-level variation in risk-adjusted IVC filter retrieval across US hospitals and to identify patient- and hospital-level factors associated with nonretrieval.</p><p><strong>Methods: </strong>Medicare beneficiaries undergoing IVC filter implantation were identified in the 100% claims files for years 2016 to 2020. Facility-level variation in device retrieval was quantified using Bayesian hospital profiling. Patient- and hospital-level factors associated with nonretrieval were assessed using logistic regression, adjusting for diagnostic indication, comorbidities, and implantation year.</p><p><strong>Results: </strong>IVC filters were implanted in 119,613 Medicare beneficiaries across 2,485 facilities. Retrieval rates were low: median 6.2% within 3 months and 14.8% within 1 year. Excluding deaths within 3 months (30.2%), retrieval ranged from 0% to 100% across facilities. Among high-volume hospitals (top 25th percentile, implanting ≥13 filters per year), 1-year risk-adjusted retrieval ranged from 0% to 74.5%, mean 20% ± 14.2% (positive skew 0.95). Patient factors associated with IVC filter nonretrieval included age > 80 years (odds ratio 2.98, 95% confidence interval [2.73-3.24]), Black race (1.62, [1.51-1.72]), and Hispanic ethnicity (1.45, [1.16-1.80]). Among hospital factors, nonteaching (1.45 [1.37-1.53]), small bed size (1.37 [1.24-1.50]), and safety-net (1.42 [1.34-1.50]) facilities were strongly associated with IVC filter nonretrieval.</p><p><strong>Discussion: </strong>High mortality within 3 months of IVC filter implantation suggests opportunity to improve patient selection and, potentially, device type choice. There is large facility-level variance underlying low aggregate IVC filter retrieval nationally; a focus on standardizing device surveillance and identifying best practices from high-performing facilities is warranted.</p>\",\"PeriodicalId\":73968,\"journal\":{\"name\":\"Journal of the American College of Radiology : JACR\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American College of Radiology : JACR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jacr.2025.08.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American College of Radiology : JACR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jacr.2025.08.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facility-Level Variation Underlying Low Inferior Vena Cava Filter Retrieval in the United States.
Objectives: Timely retrieval of inferior vena cava (IVC) filters is recommended to reduce complications and optimize outcomes. This study aims to quantify facility-level variation in risk-adjusted IVC filter retrieval across US hospitals and to identify patient- and hospital-level factors associated with nonretrieval.
Methods: Medicare beneficiaries undergoing IVC filter implantation were identified in the 100% claims files for years 2016 to 2020. Facility-level variation in device retrieval was quantified using Bayesian hospital profiling. Patient- and hospital-level factors associated with nonretrieval were assessed using logistic regression, adjusting for diagnostic indication, comorbidities, and implantation year.
Results: IVC filters were implanted in 119,613 Medicare beneficiaries across 2,485 facilities. Retrieval rates were low: median 6.2% within 3 months and 14.8% within 1 year. Excluding deaths within 3 months (30.2%), retrieval ranged from 0% to 100% across facilities. Among high-volume hospitals (top 25th percentile, implanting ≥13 filters per year), 1-year risk-adjusted retrieval ranged from 0% to 74.5%, mean 20% ± 14.2% (positive skew 0.95). Patient factors associated with IVC filter nonretrieval included age > 80 years (odds ratio 2.98, 95% confidence interval [2.73-3.24]), Black race (1.62, [1.51-1.72]), and Hispanic ethnicity (1.45, [1.16-1.80]). Among hospital factors, nonteaching (1.45 [1.37-1.53]), small bed size (1.37 [1.24-1.50]), and safety-net (1.42 [1.34-1.50]) facilities were strongly associated with IVC filter nonretrieval.
Discussion: High mortality within 3 months of IVC filter implantation suggests opportunity to improve patient selection and, potentially, device type choice. There is large facility-level variance underlying low aggregate IVC filter retrieval nationally; a focus on standardizing device surveillance and identifying best practices from high-performing facilities is warranted.