Prospective Study of an Inferior Vena Cava Filter Management Pathway in a Tertiary Care and Trauma Centre
Bibliographic record
Abstract
Abstract Background: In our institution, a retrospective analysis of inferior vena cava (IVC) filter usage demonstrated attempted removal in only 60% of patients. We performed a prospective cohort study to determine if an IVC filter management program (IVCFP) will improve retrieval rates. Methods: Consecutive patients receiving a retrievable IVC filter were approached for study enrollment within 48 hours of placement. Consenting patients received a visible IVC Filter Identification Wristband and pre-printed orders were placed in each patient's chart indicating that the wristband can only be removed by physician order if: 1) the filter has been retrieved; 2) a decision to make the filter permanent has been discussed and agreed upon with the patient; or 3) the patient has been referred to the Thrombosis Clinic for filter follow-up after hospital discharge. Educational pamphlets and Thrombosis Clinic referral information were provided to the patient and care team. All patients were followed up to time of hospital discharge and to the end of the study if the filter was still in situ. Baseline demographics, dates of filter insertion and retrieval, and data on filter indication, documentation of a follow-up plan, reasons for non-retrieval, and all-cause mortality were extracted from electronic and paper medical records using standard forms. The primary outcome was the proportion of patients who underwent attempted filter retrieval. Secondary outcomes included the proportion of patients who had a successful retrieval and documentation of a filter management plan. Results were compared with a historical cohort of 275 patients who had filters placed between Jan 2007 and Dec 2010. Group characteristics were compared using 2-sided t-tests for continuous variables and Chi-squared analysis for categorical variables. Results: Between Nov 2011 and Dec 2013, 92 of 111 eligible patients consented to participate. Mean age was 57.3 years and 67.4% were male. Compared to historical patients, IVCFP patients were more likely to be male (64.7% vs. 54.5%; p=0.03), less likely to have a prior history of venous thromboembolism (7.6% vs. 18.5%; p=0.01) and more likely to have received a filter for an acute VTE with contraindication to anticoagulation (76.1% vs. 72.4%; p=0.03) (see Table). At the end of study in June 2014, total length of follow-up for filter retrieval was 14,823 patient-days (median 48.5; range 4-956). No patient was lost to follow-up. Compared to historical data, the IVCFP significantly improved the proportion of patients with attempted retrieval (73/92 [79.3%] vs. 165/275 [60.0%]; p=0.001), documentation of an IVC filter management plan (91.3% vs. 73.8%; p<0.001) and successful retrieval (72.8% vs. 53.1%; p=0.001). Two patients in the IVCFP cohort and 28 historical controls did not have an attempted retrieval despite no clear reason for the filter to remain in situ permanently (2% vs. 10%; p=0.01). Of the 25 patients discharged with a filter in-situ, 20 were referred to our Thrombosis Clinic and 17 had a retrieval attempt post-discharge. Conclusions: Implementation of an IVCFP – consisting of a patient identification wristband, educational materials and referral for outpatient follow-up – was associated with significant increases in attempted filter retrieval and successful filter retrieval. The IVCFP represents an effective and low cost strategy to improve the follow-up and outcomes of patients receiving retrievable IVC filters. Table Historical Cohort N=275 Prospective Cohort N=92 P value Thrombotic risk factors, n (%) Acute VTE 213 (77.5) 78 (84.8) NS Prior VTE 51 (18.5) 7 (7.6) 0.01 Cancer 97 (35.3) 34 (37.0) NS Trauma 63 (22.9) 22 (23.9) NS Indications for filter insertion, n (%) Contraindication to AC 199 (72.4) 70 (76.1) 0.03 High risk for PE 31 (11.3) 10 (10.9) NS Primary prophylaxis 41 (14.9) 11 (12.0) NS Other 4 (1.5) 1 (1.1) NS Filter removal attempted, n (%) 165 (60.0) 73 (73.9) 0.001 Filter removal successful, n (%) 146 (53.1) 67 (72.8) 0.001 Documentation of a filter management plan, n (%) 203 (73.8) 84 (91.3) <0.001 Reasons for non-retrieval, n (%) Death in hospital/limited life expectancy 41 (14.9) 9 (9.8) NS Filter made permanent 22 (8.0) 4 (4.3) NS Persistent contraindication to AC 10 (3.9) 3 (3.3) NS High risk of PE despite AC 5 (1.8) 1 (1.1) NS Lost to follow-up 4 (1.5) 0 (0.0) NS Unknown 28 (10.2) 2 (2.2) 0.01 VTE, venous thromboembolism; PE, pulmonary embolism, NS, non-significant, AC, anticoagulation. Disclosures No relevant conflicts of interest to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".