Literature DB >> 28871041

Vena Cava Filter Retrieval Rates and Factors Associated With Retrieval in a Large US Cohort.

Joshua D Brown1,2, Driss Raissi3, Qiong Han3, Val R Adams4, Jeffery C Talbert4.   

Abstract

BACKGROUND: Retrieval of vena cava filters (VCFs) is important for safety as complications increase with longer dwell times. This study assessed VCF retrieval rates and factors associated with retrieval in a national cohort. METHODS AND
RESULTS: VCFs were identified by procedural codes from an administrative claims database. Patients were identified who had a VCF placement during a hospitalization from a national commercial administrative claims database. Indications for VCF placement were identified as pulmonary embolism with or without deep vein thrombosis, deep vein thrombosis only, or prophylactic. Patient demographic and clinical characteristics were included in proportional hazard regression models to find associations with early (90-day) and 1-year VCF retrieval. Initiation of anticoagulation and the correlation between time-to-retrieval and time-to-initiation of anticoagulation were observed. Of 54 766 patients receiving a VCF, 36.9% had pulmonary embolism, 43.9% had deep vein thrombosis only, and 19.2% had no apparent venous thromboembolism present. Over the 1 year of follow-up, the cumulative incidence of VCF retrieval was 18.4%. Retrieval increased over time from a low of 14.0% in 2010 up to ≈24% in 2014. In adjusted time-to-event models, increasing age, differing regions, and some comorbidities were associated with poorer retrieval rates. Initiation of anticoagulation was poorly correlated with retrieval, with anticoagulation preceding retrieval by a median of 51 days while those without retrieval had a median of 278 days of exposure to anticoagulation.
CONCLUSIONS: VCF retrieval increased over the study period but remained suboptimal and was weakly correlated with anticoagulation initiation.
© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Entities:  

Keywords:  pulmonary embolism; retrieval device; vena cava; vena cava filter; venous thromboembolism

Mesh:

Substances:

Year:  2017        PMID: 28871041      PMCID: PMC5634307          DOI: 10.1161/JAHA.117.006708

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

This is the first known study to examine retrieval rates for vena cava filters (VCFs) in a national cohort. The results are consistent with prior meta‐analyses of single institution retrieval rates showing about a 25% to 30% retrieval rate of all placed. Despite safety warnings for indwelling VCFs, most remained in place and were poorly correlated with initiation of anticoagulation. Retrieval rates were strongly dependent on age, with older patients less likely to have retrieval, patient residence, prophylactic indication for VCF placement (no thrombosis present), and having VCF placement in more recent years.

What Are the Clinical Implications?

The US Food and Drug Administration has suggested that VCFs be removed once clinically appropriate to avoid complications. These warnings were in response to many reports of VCF failures including device fractures and penetration of the vena cava that were associated with indwell time. In order to maximize the net clinical benefit of VCFs, patients should be initiated on anticoagulation once contraindications have abated and VCFs should be removed. Utilization of VCFs and subsequent retrieval rates vary widely by geography, suggesting that institutions and clinics should evaluate their practices to better ensure patient safety.

Introduction

Vena cava filters (VCFs) are used to mechanically prevent thrombi from migrating to the pulmonary circulation. Generally, VCFs are reserved for patients who have absolute or relative contraindications to anticoagulation and who are at a high risk of recurrent venous thromboembolism (VTE).1, 2, 3 With the advent of retrievable VCFs, there has been a marked increase in overall use.4, 5, 6 Retrievable VCFs differ in that they can be removed once contraindications have subsided and patients can be initiated on anticoagulation. In real‐world settings, retrieval rates of VCFs have been dismal, with reports ranging from 10% to 50% and an estimated average near 30%.7, 8 Poor retrieval rates correspond to an increase in reported adverse events.7 Complications associated with VCFs include increased risk of deep vein thrombosis (DVT), inferior vena cava thrombosis, inferior vena cava penetration, VCF fracture, and VCF embolization.7, 9, 10, 11 Given these trends, the US Food and Drug Administration has issued a safety communication highlighting the need to remove VCFs once the risk of pulmonary embolism (PE) has subsided based on modeling studies showing that VCFs are most clinically beneficial if retrieved within 90 days after implantation.11, 12 Given the continued growth in VCF use and the variation that has been observed between institutions,13, 14, 15, 16, 17 assessment of what factors drive retrieval rates and timing of anticoagulation on a national scale is needed to evaluate clinical practice.18 This study sought to evaluate the trend in retrieval rates and patient factors associated with retrieval as well as the association between retrieval and anticoagulation. While retrieval rates were expected to increase over time, we hypothesized differential retrieval based on indication and patient characteristics. Furthermore, we hypothesized there would be a weak association between retrieval and anticoagulation, although treatment with anticoagulation generally indicates there would no longer be a continued need for an indwelling VCF.

Methods

Data Source

This observational cohort study utilized the Truven Health Analytics MarketScan database, which are administrative healthcare claims data including medical diagnostic and procedural information and pharmacy fill records billed to an individual's health insurance. The data include information for ≈40 million unique individuals per year. The university's Institutional Review Board approved use of the data and waived the requirement for informed consent of participants given that the data are de‐identified and collected for nonresearch purposes.

Cohort Identification

All patients during the years 2010 to 2014 who had a VCF placed were identified using Current Procedural Terminology (CPT: 37191, 37620, 35940) and International Classification of Diseases, 9th revision (ICD‐9: 38.7) procedural codes. The indication for VCF was identified by ICD‐9 diagnosis codes as PE (415.1x) with or without DVT, DVT only (451.xx or 453.xx), or no apparent VTE (prophylactic).19, 20 To increase the validity of these indication diagnoses, only the primary diagnosis field was used. For inclusion, patients were required to be 18 years old or older and have a minimum of 6 months of eligibility in the database before VCF placement.

Cohort Characteristics

Demographic variables included age, sex, geographic region, and residence status. Age was divided into 18 to 34, 35 to 44, 45 to 54, 55 to 64, 65 to 74, and 75 and older categories. Geographic region included US census regions (Northeast, North Central, South, West, and unknown) and residence status was divided into urban or rural. Insurance status was classified as commercial or Medicare, fully or partially capitated, and assignment to a primary care provider (PCP). Conditions and procedures present during VCF implantation were recorded. Concurrent bleeding, unstable condition, sepsis or septic shock, infection, anemia, trauma, and pregnancy were all recorded using ICD‐9 diagnosis codes.13, 20 Patients receiving thrombolytic therapy, embolectomy procedures, or major surgery were identified using a combination of procedural codes.21 Patients who died during the hospitalization during which the VCF was placed were also noted. Comorbid conditions observed in the pre‐index period consisted of Charlson comorbidities along with a Charlson Comorbidity Index, which represents the overall “comorbidity burden” widely used for risk adjustment.22, 23

Outcome Events

The primary outcome was VCF retrieval identified by CPT (37 193, 37 203) and ICD‐9 (38.7) procedure codes. Given that the ICD‐9 procedure code for placement and retrieval is the same, retrievals for those patients only having the ICD‐9 procedure code present had to be on separate days to record retrieval. However, since CPT codes and not ICD‐9 codes are used for billing purposes, patients lacking the CPT codes were the exception, with >95% of all patients having CPT codes recorded. Patients were followed forward from the VCF placement until the VCF was retrieved, they died, they were lost to follow‐up, or the end of the study period. The 30‐, 60‐, 90‐, 180‐day, and 1‐year cumulative incidence of VCF retrieval was estimated using Fine and Gray's time‐to‐event, survival analysis methodology, accounting for death as a competing risk.24 Time to VCF retrieval was also reported.

Time to Anticoagulation Initiation

Anticoagulation initiation was assessed as the first outpatient prescription for an injectable (dalteparin, enoxaparin, tinzaparin, fondaparinux) or oral (warfarin, dabigatran, rivaroxaban, apixaban) anticoagulant. Those with prophylactic indications (“no VTE”) were excluded as they might not have indications for anticoagulation on discharge. Furthermore, those who had VCF retrieval before discharge were excluded. Time to anticoagulation was compared with the time to retrieval and described for those who did not have retrieval during follow‐up. Time for both events was calculated based on the date of discharge from a hospitalization since the filled prescriptions data would not be available until hospital discharge occurred.

Time‐to‐Event Analysis

To identify factors associated with VCF retrieval, we developed a Cox proportional hazards model including patient characteristics. The proportionality assumption for all variables was evaluated for using Schoenfeld residuals as well as using time as an interaction term for each variable. Both methods showed that this assumption held true. Because of collinearity with age, Medicare or commercial insurance status was excluded in the model. Two models were estimated predicting 90‐day and 1‐year retrieval. The 90‐day time point was chosen to represent “early retrievals” and was consistent with a prior modeling study showing higher net clinical benefit if removed in <90 days.11 Patients who had not had retrieval or had not died at the end of the 90‐day or 365‐day period were censored. Hazard ratios and their 95% confidence intervals were estimated. All analyses were conducted using SAS Enterprise Guide version 7.1 (Cary, NC) with significance level of α=0.05 for all statistical analyses.

Results

Patient Characteristics

During 2010 to 2014, 54 766 patients received a VCF and met the eligibility requirements to be included in the study. Of these, 36.9% presented with a PE, 43.9% with DVT alone, and 19.2% had no apparent VTE present (Table 1). The mean (SD) age of the cohort was 65 (16) years old, 51% were female, and they were geographically diverse with nearly 85% residing in urban areas. Insurance details included 13.9% of the cohort having a primary care provider and 8.6% having insurance with full or partial capitated payments. A total of 1628 (3.0%) of the cohort died during the initial hospitalization and were not included in subsequent analyses.
Table 1

Demographic and Clinical Characteristics of Patients Receiving VCFs by Indication

AllPulmonary EmbolismDeep Vein ThrombosisNo PE/DVT
N%N%N%N%
54 766100.020 20236.924 06043.910 50419.2
Age group (y)
Mean, SD65 (16)64 (15)69 (16)60 (17)
18 to 3421964.07283.66102.58588.2
35 to 4435516.513476.711834.910219.7
45 to 54788814.4333716.5275711.5179417.1
55 to 6413 07623.9553027.4488120.3266525.4
65 to 74942217.2345217.1433418.0163615.6
75 and older17 84632.6549227.210 03841.7231622.0
Sex of patient
Male26 83949.010 21750.611 54248.0508048.4
Female27 92751.0998549.412 51852.0542451.6
Region
Northeast11 52621.0415420.6519121.6218120.8
North Central15 67828.6575228.5714229.7278426.5
South18 44833.7666633.0788232.8390037.1
West789114.4315815.6336114.0137213.1
Unknown12232.24722.34842.02672.5
Residence
Rural849615.5311915.4338114.1199619.0
Urban46 27084.517 08384.620 67985.9850881.0
Concurrent conditions during hospitalization
Bleed50049.114187.0277911.68077.7
Unstable condition8701.62431.24641.91631.6
Sepsis23514.36193.113605.73723.5
Infection920216.8310515.4468019.5141713.5
Anemia10 19518.6319315.8543322.6156914.9
Trauma577710.516007.9302712.6115010.9
Thrombolytic therapy8411.54522.23161.3730.7
Embolectomy procedure3670.71760.91490.6420.4
Major surgery13 37124.4524926.0583624.3228621.8
Pregnant4410.81480.72210.9720.7
Died during hospitalization16283.07203.64611.94474.3
Comorbid conditions
CCI score, mean (SD)3.1 (3.3)2.9 (3.3)3.5 (3.4)2.9 (3.3)
History of VTE48648.915227.521498.9119311.4
History of bleeding848315.5258712.8457719.0131912.6
MI32545.911225.616236.75094.8
CHF846415.5262013.0451418.8133012.7
PVD745013.6214710.6403016.7127312.1
Dementia23664.36213.115186.32272.2
COPD12 92523.6487224.1573523.8231822.1
Rheumatism22864.28014.010874.53983.8
PUD15932.95032.58293.42612.5
Mild liver disease43447.915867.919588.18007.6
Severe liver disease5491.01350.73151.3990.9
Diabetes mellitus13 62324.9448322.2632226.3281826.8
Diabetes mellitus w/complications36636.710405.118537.77707.3
Paralysis22444.16723.312285.13443.3
Renal disease668412.217138.5383615.9113510.8
Cancer16 67230.4625130.9785632.7256524.4
Metastatic cancer753413.8301314.9343314.3108810.4
Stroke974417.8295714.6524021.8154714.7
Hypertension30 91856.510 71953.114 54160.4565853.9
CHD11 12520.3360417.8559723.3192418.3
Hyperlipidemia18 19533.2667633.0804733.4347233.1
Insurance source
Commercial26 35048.110 82153.6928138.6624859.5
Medicare28 41651.9938146.414 77961.4425640.5
Insurance details
Assigned care provider758613.9291014.4311613.0156014.9
Capitated payment47188.618219.019698.29288.8
Year VCF placed
201011 78421.5425021.0523921.8229521.8
201112 75023.3456522.6567223.6251323.9
201212 21022.3436921.6539322.4244823.3
2013939517.2359617.8406216.9173716.5
2014862715.8342216.9369415.4151114.4

CCI indicates Charlson Comorbidity Index; CHD, coronary heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; DVT, deep vein thrombosis; IVC, inferior vena cava; MI, myocardial infarction; PE, pulmonary embolism; PUD, peptic ulcer disease; PVD, peripheral vascular disease; VCF, vena cava filter; VTE, venous thromboembolism

Demographic and Clinical Characteristics of Patients Receiving VCFs by Indication CCI indicates Charlson Comorbidity Index; CHD, coronary heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; DVT, deep vein thrombosis; IVC, inferior vena cava; MI, myocardial infarction; PE, pulmonary embolism; PUD, peptic ulcer disease; PVD, peripheral vascular disease; VCF, vena cava filter; VTE, venous thromboembolism Overall, 14.3% (N=7619) of the cohort who survived the index hospitalization had the VCF retrieved within 1 year and 8% (N=4228) died (Table 2). For those who had retrieval, the mean (SD) time to retrieval was 93 (78) days, with a median of 71 days and interquartile range (IQR) of 35 to 130 days. Those with PE had the highest mean and median times to retrieval (101 and 81 days) compared with those with DVT only (91 and 68 days) and compared with those with no VTE (83 and 61 days, P<0.001 for all comparisons).
Table 2

Outcomes of Patients Receiving VCFs At 1 Year of Follow‐Up

OverallPEDVTNo VTE
Outcome
VCF retrieval7619(14.3%)2884(14.8%)2686(11.4%)2049(20.4%)
Died4228(8.0%)1627(8.4%)1950(8.3%)651(6.5%)
Censored41 291(77.7%)14 971(76.8%)18 963(80.4%)7357(73.2%)
Follow‐up time
Mean, SD202 (144)202 (143)202 (145)200 (144)
Median, IQR186 (56–365)188 (58–365)187 (54–365)176 (56–365)
Time to retrieval
Mean, SD93 (78)101 (81)91 (79)83 (73)
Median, IQR71 (35–130)81 (38–143)68 (33–132)61 (32–113)
Time to death
Mean, SD96 (91)94 (91)97 (91)100 (90)
Median, IQR63 (26–142)58 (24–140)66 (26–144)67 (32–141)

DVT indicates deep vein thrombosis; IQR, interquartile range; PE, pulmonary embolism; VCF, vena cava filter; VTE, venous thromboembolism.

Outcomes of Patients Receiving VCFs At 1 Year of Follow‐Up DVT indicates deep vein thrombosis; IQR, interquartile range; PE, pulmonary embolism; VCF, vena cava filter; VTE, venous thromboembolism. Figure 1 shows the cumulative incidence of VCF retrieval by the index indication and Table 3 shows the cumulative incidence for selected variables. At 1 year, retrieval was highest for those with no VTE on index, reaching nearly 25% (23.9–25.8%). Retrieval increased with each year of study, going from 14.0% (13.3–14.7%) in 2010 up to 38.2% (19.4–57.0%, skewed by low follow‐up time) in 2014 (P<0.001 for trend excluding 2014 data). Data from 2014 allowed for smaller sample size for 1‐year of follow‐up. However, trends were consistent across smaller time frames for 2014 and showed a year‐over‐year increase in retrieval at all time points. Differences in retrieval between age groups were significant, with younger age groups having higher retrieval. For example, those aged 18 to 34 had 1‐year retrieval of 42.8% (40.4–45.2%) while retrieval in those 75 years old and older was just 5.4% (5.0–5.8%, P<0.001).
Figure 1

Cumulative incidence of vena cava filter (VCF) retrieval by indication over 1‐y of follow‐up accounting for death as a competing risk. VTE indicates venous thromboembolism.

Table 3

Cumulative Incidence and 95% Confidence Interval of Inferior VCF Retrieval at Time Intervals by Key Demographic and Clinical Factors

30 Days60 Days90 Days180 Days365 days
Overall, %3.3 (3.1–3.5)6.9 (6.7–7.2)9.8 (9.5–10.1)14.9 (14.6–15.2)18.4 (18.0–18.8)
Indication
No VTE, %5.2 (4.7–5.6)11.0 (10.4–11.7)15.0 (14.3–15.8)21.3 (20.4–22.2)24.8 (23.9–25.8)
DVT, %2.8 (2.6–3.0)5.8 (5.5–6.1)7.9 (7.5–8.2)12.1 (11.6–12.6)14.9 (14.3–15.4)
PE, %2.9 (2.7–3.1)6.1 (5.8–6.5)9.3 (8.9–9.8)14.8 (14.3–15.4)19.2 (18.5–19.8)
Year VCF placed
2010, %3.1 (2.8–3.5)6.0 (5.6–6.5)8.0 (7.5–8.6)11.3 (10.7–11.9)14.0 (13.3–14.7)
2011, %3.0 (2.7–3.3)6.3 (5.9–6.8)8.8 (8.3–9.3)13.2 (12.6–13.9)16.1 (15.4–16.8)
2012, %3.4 (3.1–3.8)7.5 (7.0–8.0)9.9 (9.4–10.5)15.6 (14.9–16.3)19.2 (18.4–20.0)
2013, %3.3 (3.0–3.7)7.5 (7.0–8.1)11.2 (10.5–11.9)17.1 (16.3–18.0)21.6 (20.7–22.6)
2014, %3.7 (3.3–4.2)7.7 (7.1–8.3)12.4 (11.6–13.3)20.5 (19.4–21.6)38.2 (19.4–57.0)a
Age group (y)
18 to 34, %6.8 (5.8–7.9)15.2 (13.7–16.8)22.8 (21.0–24.7)34.9 (32.7–37.1)42.8 (40.4–45.2)
35 to 44, %6.1 (5.3–6.9)13.9 (12.7–15.1)18.9 (17.6–20.3)28.4 (26.8–30.0)35.5 (33.7–37.2)
45 to 54, %4.9 (4.5–5.5)11.4 (10.7–12.2)15.9 (15.0–16.8)23.7 (22.6–24.7)29.3 (28.1–30.4)
55 to 64, %3.9 (3.5–4.2)8.0 (7.5–8.5)11.5 (10.9–12.1)17.8 (17.0–18.5)21.8 (21.0–22.7)
65 to 74, %2.7 (2.4–3.1)5.3 (4.8–5.8)7.4 (6.9–8.0)11.4 (10.7–12.1)14.1 (13.3–15.0)
75 and older, %1.4 (1.2–1.6)2.4 (2.1–2.6)3.1 (2.8–3.3)4.5 (4.1–4.8)5.4 (5.0–5.8)
Cancer
Yes, %2.6 (2.3–2.8)4.5 (4.2–4.9)6.3 (5.9–6.7)9.1 (8.6–9.7)11.7 (11.1–12.4)
No, %3.6 (3.4–3.8)7.9 (7.6–8.2)11.1 (10.8–11.5)17.0 (16.6–17.5)20.8 (20.4–21.3)
Insurance source
Commercial, %4.8 (4.5–5.0)10.5 (10.1–10.9)14.9 (14.5–15.4)22.6 (22.1–23.2)28.0 (27.4–28.6)
Medicare, %1.9 (1.7–2.0)3.4 (3.2–3.6)4.6 (4.3–4.9)7.0 (6.6–7.3)8.6 (8.2–8.9)

DVT indicates deep vein thrombosis; VCF, vena cava filter; PE, pulmonary embolism; VTE, venous thromboembolism.

Estimates for long‐term follow‐up in 2014 are unstable because of smaller sample sizes. Extrapolation of 2014 6‐month estimates with the overall trend in retrieval rates across 2010 to 2014 produce a retrieval estimate of 23% to 25%.

Cumulative incidence of vena cava filter (VCF) retrieval by indication over 1‐y of follow‐up accounting for death as a competing risk. VTE indicates venous thromboembolism. Cumulative Incidence and 95% Confidence Interval of Inferior VCF Retrieval at Time Intervals by Key Demographic and Clinical Factors DVT indicates deep vein thrombosis; VCF, vena cava filter; PE, pulmonary embolism; VTE, venous thromboembolism. Estimates for long‐term follow‐up in 2014 are unstable because of smaller sample sizes. Extrapolation of 2014 6‐month estimates with the overall trend in retrieval rates across 2010 to 2014 produce a retrieval estimate of 23% to 25%.

Factors Related to Retrieval

In fully adjusted analyses (Table 4), age remained significantly associated with VCF retrieval at both 90 days and 365 days of follow‐up, although the association was much stronger for the 1‐year model. Patients with no VTE were more likely to have retrieval compared with those with DVT only, and there was no difference in retrieval between those with PE compared with those with DVT. Geographic region was also significant, with those residing in the North Central (90 days and 1 year) and West (1 year only) regions being more likely to have retrieval compared with those in the Northeast.
Table 4

Regression Results Showing Patient Factors Associated With 90‐D (Early) Retrieval and 1‐Year Retrieval

90‐D Retrieval1‐Y Retrieval
HR95% CIHR95% CI
Age group (y)
18 to 34Ref.Ref.Ref.Ref.Ref.Ref.
35 to 440.970.941.000.880.800.97
45 to 540.950.920.980.790.720.86
55 to 640.910.880.930.620.570.68
65 to 740.870.840.890.410.370.45
75 and older0.820.800.840.170.150.19
Sex
MaleRef.Ref.Ref.Ref.Ref.Ref.
Female1.011.011.021.040.991.09
Region
NortheastRef.Ref.Ref.Ref.Ref.Ref.
North Central1.031.021.041.291.201.38
South0.990.981.000.890.830.95
West1.101.091.121.891.762.04
Unknown1.010.981.041.241.051.46
Residence
RuralRef.Ref.Ref.Ref.Ref.Ref.
Urban1.011.001.021.131.061.21
Index VTE
DVT onlyRef.Ref.Ref.Ref.Ref.Ref.
No VTE1.051.031.061.241.171.32
PE0.990.981.000.990.931.04
Concurrent conditions during hospitalization
Bleed1.000.991.021.100.931.29
Unstable condition0.980.961.000.800.601.06
Sepsis1.000.981.010.920.761.12
Infection0.980.970.990.840.760.91
Anemia0.990.980.990.910.840.98
Trauma0.990.981.001.000.921.09
Thrombolytic therapy1.061.021.091.291.111.49
Embolectomy procedure1.000.961.040.890.681.17
Major surgery0.980.970.990.920.870.97
Pregnant1.050.991.111.361.151.60
Comorbid conditions during pre‐index look back
CCI score (per 1 unit)1.000.991.010.970.901.05
History of VTE1.031.021.041.171.081.26
History of bleeding0.980.970.990.770.670.87
Myocardial infarction0.990.981.000.820.710.96
Heart failure0.980.970.990.670.600.74
Peripheral vascular disease0.990.981.000.850.770.94
Dementia0.970.960.980.310.220.43
COPD0.990.981.000.880.830.94
Rheumatism1.000.981.010.960.841.08
Peptic ulcer disease1.021.001.041.160.951.41
Mild liver disease1.000.981.011.000.911.11
Severe liver disease0.990.981.000.860.810.92
Diabetes mellitus0.990.981.000.960.851.09
Diabetes mellitus w/complications0.980.971.000.760.650.89
Paralysis0.980.970.990.810.730.90
Renal disease0.990.981.000.940.871.00
Cancer0.910.890.940.280.170.46
Metastatic cancer0.920.900.930.430.380.49
Stroke0.980.980.990.800.730.88
Hypertension1.000.991.000.950.900.99
Coronary heart disease1.000.991.000.870.800.94
Hyperlipidemia1.021.011.031.231.171.30
Insurance details
Assigned care provider1.000.991.021.030.941.12
Capitated payment0.990.971.000.840.750.94
Year VCF placed
2010Ref.Ref.Ref.Ref.Ref.Ref.
20111.011.001.021.191.111.28
20121.031.021.041.411.321.52
20131.041.031.051.631.511.75
20141.051.041.071.901.762.06

C‐index for models: 90‐d retrieval (0.695), 1‐y retrieval (0.720). CCI indicates Charlson Comorbidity Index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; DVT, deep vein thrombosis; HR, hazard ratio; PE, pulmonary embolism; VTE, venous thromboembolism.

Regression Results Showing Patient Factors Associated With 90‐D (Early) Retrieval and 1‐Year Retrieval C‐index for models: 90‐d retrieval (0.695), 1‐y retrieval (0.720). CCI indicates Charlson Comorbidity Index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; DVT, deep vein thrombosis; HR, hazard ratio; PE, pulmonary embolism; VTE, venous thromboembolism. Year of filter placement was modeled both as a covariate as well as used to stratify the analysis. In stratified analysis, no differences were observed between the covariates and their association with VCF retrieval compared with the base model with year as a covariate. As a covariate, each year of VCF placement was associated with increased 90‐day and 1‐year retrieval compared with year 2010. For the final year 2014, this corresponded to nearly a 2‐fold difference in retrieval rate compared with 2010 (hazard ratio=1.90, 95% confidence interval, 1.76–2.06).

Time to Anticoagulation

During follow‐up, the data set had follow‐up prescription information for 37 272 persons in the cohort with DVT/PE indications and who did not have retrieval before discharge. Among these, 23 510 (63.1%) initiated anticoagulation including 61% who never had retrieval, 79.2% among those with retrieval, and 47.8% among those who died, with median time to initiation of 17 (IQR 6–50) days. Initiation of anticoagulation differed significantly for those who eventually had retrieval (N=4729, median 11, IQR 5–31 days) and those who did not have retrieval (N=17 628, median 17, IQR 6–50 days, P<0.001). Overall, time to anticoagulation and time to retrieval were poorly correlated, with anticoagulation preceding retrieval by a median of 51 (IQR 13–110) days and R 2=0.06 (Figure 2). For those who never had retrieval, there was a median of 278 (IQR 98–350) days of anticoagulation treatment during the 1‐year follow‐up period.
Figure 2

Plot of times to outpatient anticoagulation and vena cava filter retrieval. Black line represents the fit of the data. Time is based on follow‐up after the discharge date from the hospitalization where the VCF was placed. Those with prophylactic indications and those with retrieval before discharge are excluded. R 2=0.06. VCF indicates vena cava filter.

Plot of times to outpatient anticoagulation and vena cava filter retrieval. Black line represents the fit of the data. Time is based on follow‐up after the discharge date from the hospitalization where the VCF was placed. Those with prophylactic indications and those with retrieval before discharge are excluded. R 2=0.06. VCF indicates vena cava filter.

Discussion

In PREPIC2 (Prevention du Risque d'Embolie Pulmonaire par Interruption Cave 2), the only randomized trial for retrievable VCFs, the retrieval rate was >90% with a dedicated 3‐month follow‐up visit.25 However, in real‐world practice, estimates of the retrieval rates range much lower, with an average of about one third of all VCFs eventually being retrieved.7 Patients are at risk for complications including inferior vena cava thrombosis, device fracture, device migration, and DVT so long as the VCF remains in place.7, 26 One study found that there is an optimal net clinical benefit if a VCF is retrieved within 29 to 54 days after placement in prophylactic indications, which remained in favor of VCFs up to 180 days postimplantation.11 That article was referenced by a US Food and Drug Administration safety communication, which responded to multiple reports of complications with VCFs and increasing publicity through litigation and media.12 The current analysis is consistent with other reports regarding VCF retrieval.7, 8 The retrieval rate increased over time, from roughly every 1‐out‐7 VCFs being retrieved in 2010 up to 1‐out‐4 retrieved in 2014. This effect may be explained by the increased attention VCFs received over this time period including US Food and Drug Administration safety alerts, as well as guideline updates (American College of Chest Physicians),1 which called for more conservative use of VCFs compared with guidelines presented by other physician societies in interventional radiology and trauma.27, 28 For those who did have their VCF retrieved in our study, time to retrieval was within mean and median times of 93 and 71 days postimplantation. However, retrieval was poorly correlated with anticoagulation initiation. Several patient‐related factors were also associated with retrieval, including demographic and clinical characteristics. Increasing age of the patient was associated with lower retrieval, which likely contributed to perceived ongoing risk of PE or a desire to not treat older individuals with anticoagulation. Region of residence was also strongly associated with retrieval, which may indicate regional practice differences as well as differences in patient demography. Patients living in an urban setting were more likely to have their filter retrieved as well, suggesting that patients being referred to a distant medical center for VCF placement may have limited follow‐up for retrieval. Among patient comorbidities, those considered prothrombotic (eg, cancer, stroke, hyperlipidemia, myocardial infarction) and related to bleeding (eg, liver disease) were associated with lower retrieval. Other studies investigating factors associated with retrieval rates have focused on poor patient follow‐up as the primary reason VCFs are not removed.29, 30, 31, 32, 33 Patient follow‐up is generally left to the referring or primary physician, with some studies showing improved retrieval if the responsibility of follow‐up is placed on the implanting physician instead.32, 33, 34 In institutions where the implanting physicians are made responsible for patient follow‐up, retrieval rates have increased from 24% to 59% and 29% to 60%.32, 33 While there is inherent concern for patient safety associated with these low retrieval rates, clinical practices are also financially incentivized to increase retrieval of VCFs. One study showed that because of the increased cost between retrievable and permanent devices, retrievable devices are only cost‐effective in interventional radiology clinics if at least 40% are eventually retrieved, driven by separate billable procedure codes for implantation and retrieval.34 Even without the cost differential between permanent and retrievable devices, it is inherent that clinic revenue will be increased with improved patient follow‐up, management, and retrieval. At least 1 study at a single institution evaluated the financial feasibility of implementing a quality improvement initiative within their clinical practice.35 They compared baseline retrieval rates with those achieved by issuing letters to patients and then with those achieved with prospective follow‐up of patients. Overall, their retrieval rates increased from 8% to 40% with mailed letters to retrospective patients, and increased further up to 52% with prospective follow‐up of new patients. Although improving VCF retrieval requires a shift in patient management, retrieval will improve patient outcomes and provides financial incentive to the clinic.

Limitations

This study has limitations inherent to all studies utilizing administrative claims data.36, 37 Most notably, detailed clinical data are not available, which may have impacted the study results. Procedural codes were utilized to identify VCF placement; however, these codes are not specific to permanent or retrievable devices. As of 2006, retrievable devices made up about 85% of the VCF market in the United States, which likely increased to >90% since then.38, 39, 40, 41 Therefore, the retrieval estimates presented here are underestimated. Assuming that 10% to 20% of all VCFs used are permanent and thus cannot be retrieved, this would make our estimated retrieval ≈26% to 30%, making this corrected estimate near previous estimates of national retrieval rates of ≈30%.6, 7 We allowed enrollment of patients in 2014, but those enrolled later in 2014 would have limited follow‐up, which skewed the estimates of cumulative retrieval at 365 days. However, the increasing trend in retrieval rates is stable across estimates at earlier time points (30, 60, 90, and 180 days) in 2014. Extrapolating these stable estimates from 180 days to 365 days across all years shows a trend increasing year‐to‐year of +2% to 4%. Therefore, we have estimated that with perfect follow‐up for those enrolled in 2014, the retrieval estimate would be nearer 23% to 25%. It is unclear how selection of retrievable versus permanent devices would differ between, for example, older versus younger patients or in cancer patients with poor prognosis, adding some uncertainty to the comparison of retrieval between certain relevant groups. However, in contemporary patients, use of retrievable VCFs (also referred to as “optional” VCFs because they can be left permanently or retrieved when clinically indicated) may be a more preferred therapeutic option allowing for flexibility in care versus nonretrievable alternatives. Thus, while there may be a differential influence of this limitation, the results are still interpretable to identify patient subgroups that are less likely to receive, as well as to not have retrieval of, retrievable VCFs. Therefore, the trend showing an increase in retrieval rates likely indicates both a trend in uptake of retrievable VCFs as well as increased retrieval rates. More work will be needed with detailed clinical data to determine differences in selection of permanent versus retrievable treatment options. Lastly, routine medications administered during a hospital stay are often omitted from billing records because of capitated payment systems. Thus, we did not attempt to observe use of anticoagulation during the hospital stay because it would be unreliably reported or unreported.

Conclusion

In this national study of VCF retrieval, less than 1 of every 4 filters was retrieved within 1 year. Retrieval rates differ based on patient characteristics but increased over the study time period (2010–2014), while retrieval and initiation of anticoagulation were poorly correlated. Physicians should consider ongoing indications for indwelling VCFs and timing of retrieval with anticoagulation initiation throughout follow‐up to optimize patient care.

Sources of Funding

The project described was supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through grant number UL1TR000117. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Drs. Brown and Adams were supported by a research grant from the Hematology/Oncology Pharmacists Association.

Disclosures

None.
  40 in total

Review 1.  Systematic review of the use of retrievable inferior vena cava filters.

Authors:  Luis F Angel; Victor Tapson; Richard E Galgon; Marcos I Restrepo; John Kaufman
Journal:  J Vasc Interv Radiol       Date:  2011-11       Impact factor: 3.464

2.  Quality improvement guidelines for the performance of inferior vena cava filter placement for the prevention of pulmonary embolism.

Authors:  Drew M Caplin; Boris Nikolic; Sanjeeva P Kalva; Suvranu Ganguli; Wael E A Saad; Darryl A Zuckerman
Journal:  J Vasc Interv Radiol       Date:  2011-09-03       Impact factor: 3.464

3.  Clinical, demographic, and medicolegal factors associated with geographic variation in inferior vena cava filter utilization: an interstate analysis.

Authors:  Andrew J Meltzer; Ashley Graham; Joon-Hyung Kim; Peter H Connolly; John K Karwowski; Harry L Bush; Ellen C Meltzer; Darren B Schneider
Journal:  Surgery       Date:  2013-01-07       Impact factor: 3.982

4.  Impact of consensus statements and reimbursement on vena cava filter utilization.

Authors:  Sapan S Desai; Abdallah Naddaf; James Pan; Douglas Hood; Kim J Hodgson
Journal:  J Vasc Surg       Date:  2016-03-04       Impact factor: 4.268

5.  Eight-year follow-up of patients with permanent vena cava filters in the prevention of pulmonary embolism: the PREPIC (Prevention du Risque d'Embolie Pulmonaire par Interruption Cave) randomized study.

Authors: 
Journal:  Circulation       Date:  2005-07-11       Impact factor: 29.690

6.  A method for following patients with retrievable inferior vena cava filters: results and lessons learned from the first 1,100 patients.

Authors:  Frank C Lynch
Journal:  J Vasc Interv Radiol       Date:  2011-09-08       Impact factor: 3.464

7.  A population-based study of the effectiveness of inferior vena cava filter use among patients with venous thromboembolism.

Authors:  R H White; H Zhou; J Kim; P S Romano
Journal:  Arch Intern Med       Date:  2000-07-10

8.  Technical and financial feasibility of an inferior vena cava filter retrieval program at a level one trauma center.

Authors:  Kristofer M Charlton-Ouw; Samuel S Leake; Cristina N Sola; Harleen K Sandhu; Rondel Albarado; John B Holcomb; Charles C Miller; Hazim J Safi; Ali Azizzadeh
Journal:  Ann Vasc Surg       Date:  2014-06-12       Impact factor: 1.466

9.  High variation between hospitals in vena cava filter use for venous thromboembolism.

Authors:  Richard H White; Estella Marie Geraghty; Ann Brunson; Susan Murin; Ted Wun; Fred Spencer; Patrick S Romano
Journal:  JAMA Intern Med       Date:  2013-04-08       Impact factor: 21.873

10.  Changing patterns in the use of inferior vena cava filters: review of a single center experience.

Authors:  Faisal Aziz; Kristina Spate; James Wong; John Aruny; Bauer Sumpio
Journal:  J Am Coll Surg       Date:  2007-08-23       Impact factor: 6.113

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  12 in total

1.  Inferior vena cava filters: use or abuse?

Authors:  Davide Imberti; Daniela Mastroiacovo
Journal:  Intern Emerg Med       Date:  2017-12-29       Impact factor: 3.397

2.  Persistently low inferior vena cava filter retrieval rates in a population-based cohort.

Authors:  Abhisekh Mohapatra; Nathan L Liang; Rabih A Chaer; Edith Tzeng
Journal:  J Vasc Surg Venous Lymphat Disord       Date:  2018-11-12

3.  Patient and hospital characteristics predictive of inferior vena cava filter usage in venous thromboembolism patients: A study from the 2013 to 2014 Nationwide Readmissions Database.

Authors:  Amie Goodin; Ming Chen; Driss Raissi; Qiong Han; Hong Xiao; Joshua Brown
Journal:  Medicine (Baltimore)       Date:  2018-03       Impact factor: 1.889

4.  Non-retrieval of inferior vena cava filters as a patient safety concern: evaluation of a new process improvement project to increase retrieval rates in a vascular and interventional radiology clinic.

Authors:  Joshua Brown; Jeffery Talbert; Ryan Pennington; Qiong Han; Driss Raissi
Journal:  Patient Saf Surg       Date:  2018-03-20

5.  Inferior Vena Cava Filter Retrieval Trends: A Single-Center Experience.

Authors:  Filip Ionescu; Nwabundo Anusim; Eva Ma; Lihua Qu; LeAnn M Blankenship; Michael Stender; Ishmael Jaiyesimi
Journal:  TH Open       Date:  2021-02-10

6.  Structured team-oriented program to follow patients after vena cava filter placement: a step forward in improving quality for filter retrieval.

Authors:  Salah D Qanadli; Kiara Rezaei-Kalantari; Laurence Crivelli; Francesco Doenz; Anne-Marie Jouannic; David C Rotzinger
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379

7.  Endovascular Rescue of Sheath Perforation During Inferior Vena Cava Filter Retrieval.

Authors:  Evan J Winrich; Abindra Sigdel; Amit J Dwivedi; Erik J Wayne
Journal:  EJVES Vasc Forum       Date:  2020-11-13

8.  Use and Removal of Inferior Vena Cava Filters in Patients With Acute Brain Injury.

Authors:  Kara Melmed; Monica L Chen; Mais Al-Kawaz; Hannah L Kirsch; Andrew Bauerschmidt; Hooman Kamel
Journal:  Neurohospitalist       Date:  2020-02-28

9.  Excimer Laser Sheath-Assisted Retrieval of "Closed-Cell" Design Inferior Vena Cava Filters.

Authors:  Kush R Desai; Nicholas Xiao; Riad Salem; Jennifer K Karp; Robert K Ryu; Robert J Lewandowski
Journal:  J Am Heart Assoc       Date:  2020-08-20       Impact factor: 5.501

10.  Vena caval filters for the prevention of pulmonary embolism.

Authors:  Tim Young; Krishna Bajee Sriram
Journal:  Cochrane Database Syst Rev       Date:  2020-10-08
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