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4007 Validation of a Simplified Diagnostic Algorithm for Deep Vein Thrombosis

Program: Oral and Poster Abstracts
Session: 332. Thrombosis and Anticoagulation: Clinical and Epidemiological: Poster III
Hematology Disease Topics & Pathways:
Research, Translational Research, Clinical Practice (Health Services and Quality), Clinical Research, Health outcomes research
Monday, December 9, 2024, 6:00 PM-8:00 PM

Sasha Sharma, BSc1*, Linnea Soon, BSc2*, Kerstin de Wit, MBChB, MD, MSC3, Alejandro Lazo-Langner, MD, MSc, FRCPC4, Gregoire Le Gal, MD, PhD5, Shannon Bates, MD, FRCPC, MSc6 and Sameer Parpia, PhD7*

1Department of Statistics, University of British Columbia, Brampton, ON, Canada
2Department of Medicine, Queen's University, Kingston, ON, Canada
3Department of Emergency Medicine and Medicine, Queen's University, Kingston, ON, Canada
4Department of Medicine, Division of Hematology, Western University, London, ON, Canada
5Ottawa Blood Disease Centre, Ottawa Hospital Research Institute, Ottawa, ON, Canada
6Department of Medicine, McMaster University, Hamilton, ON, Canada
7Departments of Oncology and Health Research Method, Evidence & Impact, McMaster University, Hamilton, ON, Canada

Background: Evidence-based deep vein thrombosis (DVT) diagnostic algorithms used in the emergency department have been extensively validated, yet they are rarely followed by emergency physicians. The most well-known, the Wells score, is complex containing up to 13 clinical items, making it difficult to consistently apply in the emergency department. All diagnostic algorithms for DVT combine estimations of clinical pretest probability with D-dimer blood testing, and/or ultrasonography. In an effort to simplify DVT diagnostic algorithms, we developed a simplified rule for DVT testing, named the 2DAY algorithm.

Objectives: The aims of this study were to evaluate the safety and efficiency of the 2DAY algorithm for DVT diagnosis in the emergency department.

Methods: We used patient data from the Canadian multicentre diagnostic management study: the 4D study (NCT02038530), to validate the 2DAY algorithm. Patients were followed to determine if they were diagnosed with venous thromboembolism (proximal DVT or pulmonary embolism) within 90-days following their DVT assessment.

The 2DAY algorithm consists of physician’s estimate of whether DVT is the patient’s most likely diagnosis and the blood D-dimer result to determine if an ultrasound is required. If DVT is the most likely diagnosis, then DVT is excluded with standard threshold of <500 ng/mL. If DVT is not the most likely diagnosis, then DVT is excluded using the age-adjusted D-dimer threshold. If DVT is not excluded based on the D-dimer result, the patient must undergo proximal ultrasound imaging. Repeat ultrasonography is indicated when the patient has a D-dimer is ≥ 1,500 ng/mL and a negative initial proximal ultrasound.

The primary analysis was the proportion of patients diagnosed with venous thromboembolism within 90-days who had DVT ruled out by the 2DAY algorithm with the corresponding 95% confidence interval (CI) estimated using the Wilson Score method. Similar analysis was used to estimate the efficiency of the 2DAY algorithm defined as the proportion of patients who did not require an ultrasound.

Results: In total, 1497 patients were eligible. Using the 2DAY algorithm, 163 (10.9 %) out of the 1497 patients were diagnosed with DVT. The mean age was 60.3, 41.8% were male, and 5.0% had active cancer. DVT was the most likely diagnosis for 68.1% of patients. From the 1334 patients who had DVT ruled out by the 2DAY algorithm, 10 (0.75%; 95% CI, 0.41-1.37) patients had VTE diagnosed during the 90-day follow-up period. The 2DAY algorithm had an efficiency of 38.6% (578/1497; 95% CI, 36.2-41.1).

Conclusions: The 2DAY algorithm, was found to be safe and efficient in ruling out DVT. Before the 2DAY algorithm can be implemented in daily clinical practice, a prospective validation study is required.

Disclosures: Le Gal: BMS-Pfizer: Research Funding; Pfizer, Sanofi, Aspen Pharma: Honoraria. Bates: Elsevier: Other: fees for service; Eli Lilly Canada/May Cohen Chair in Women's Health: Other: unencumbered salary support; Leo Pharma Canada, Inc; Sanofi: Honoraria.

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*signifies non-member of ASH