Hidden burden of venous thromboembolism after trauma: A national analysis

Autor: D. Dante Yeh, Arjuna Dharmaraja, Tanya L. Zakrison, Enrique Ginzburg, Nicholas Namias, Rishi Rattan, Sarah A. Eidelson, Joshua Parreco, Joann Gold
Rok vydání: 2018
Předmět:
Zdroj: Journal of Trauma and Acute Care Surgery. 85:899-906
ISSN: 2163-0763
2163-0755
Popis: Trauma patients are at increased risk for venous thromboembolism (VTE). One in four trauma readmissions occur at a different hospital. There are no national studies measuring readmissions to different hospitals with VTE after trauma. Thus, the true national burden in trauma patients readmitted with VTE is unknown and can provide a benchmark to improve quality of care.The Nationwide Readmission Database (2010-2014) was queried for patients ≥18 years non-electively admitted for trauma. Patients with VTE or inferior vena cava filter placement on index admission were excluded. Outcomes included 30-day and 1-year readmission to both index and different hospitals with a new diagnosis of VTE. Multivariable logistic regression identified risk factors. Results were weighted for national estimates.Of the 5,151,617 patients admitted for trauma, 1.2% (n = 61,800) were readmitted within 1 year with VTE. Of those, 29.6% (n = 18,296) were readmitted to a different hospital. Risk factors for readmission to a different hospital included index admission to a for-profit hospital (OR 1.33 [1.27-1.40], p0.001), skull fracture (OR 1.20 [1.08-1.35], p0.001), Medicaid (OR 1.16 [1.06-1.26], p0.001), hospitalization7 days (OR 1.12 [1.07-1.18], p0.001), and the lowest quartile of median household income for patient ZIP code (OR 1.13 [1.07-1.19], p0.01). The yearly cost of 1-year readmission for VTE was $256.9 million, with $90.4 million (35.2%) as a result of different hospital readmission.Previously unreported, over one in three patients readmitted with VTE a year after hospitalization for trauma, accounting for over a third of the cost, present to another hospital and are not captured by current metrics. Risk factors are unique. This has significant implications for benchmarking, outcomes, prevention, and policy.Epidemiological study, level II.
Databáze: OpenAIRE