Thrombin generation and venous thromboembolism

2008 ◽  
Vol 28 (01/02) ◽  
pp. 37-39 ◽  
Author(s):  
S. Eichinger

SummaryVenous thromboembolism is a chronic and potential fatal disease. Determination of recurrence risk is time-consuming and costly, and sometimes not feasible: many patients carry more than one risk factor, the relevance of some factors with regard to risk of recurrence is unknown, and existence of thus far unknown risk factors must be considered. A laboratory assay that measures multifactorial thrombophilia would be useful to identify patients at risk of thrombosis. The process of thrombin generation is the central event of the hemostatic process. Thrombin generation is increased in patients at risk of thrombosis including those with antithrombin deficiency or those who are taking hormonal contraceptives. Risk of first and recurrent venous thrombosis is higher in patients with increased thrombin generation. Thus, by use of a simple global marker of coagulation stratification of patients according to their risk of thrombosis is possible. Future studies are needed to improve the management of patients with VTE and increased thrombin generation.

2021 ◽  
pp. 219256822110193
Author(s):  
Kevin Y. Wang ◽  
Ijezie Ikwuezunma ◽  
Varun Puvanesarajah ◽  
Jacob Babu ◽  
Adam Margalit ◽  
...  

Study Design: Retrospective review. Objective: To use predictive modeling and machine learning to identify patients at risk for venous thromboembolism (VTE) following posterior lumbar fusion (PLF) for degenerative spinal pathology. Methods: Patients undergoing single-level PLF in the inpatient setting were identified in the National Surgical Quality Improvement Program database. Our outcome measure of VTE included all patients who experienced a pulmonary embolism and/or deep venous thrombosis within 30-days of surgery. Two different methodologies were used to identify VTE risk: 1) a novel predictive model derived from multivariable logistic regression of significant risk factors, and 2) a tree-based extreme gradient boosting (XGBoost) algorithm using preoperative variables. The methods were compared against legacy risk-stratification measures: ASA and Charlson Comorbidity Index (CCI) using area-under-the-curve (AUC) statistic. Results: 13, 500 patients who underwent single-level PLF met the study criteria. Of these, 0.95% had a VTE within 30-days of surgery. The 5 clinical variables found to be significant in the multivariable predictive model were: age > 65, obesity grade II or above, coronary artery disease, functional status, and prolonged operative time. The predictive model exhibited an AUC of 0.716, which was significantly higher than the AUCs of ASA and CCI (all, P < 0.001), and comparable to that of the XGBoost algorithm ( P > 0.05). Conclusion: Predictive analytics and machine learning can be leveraged to aid in identification of patients at risk of VTE following PLF. Surgeons and perioperative teams may find these tools useful to augment clinical decision making risk stratification tool.


2022 ◽  
Vol 226 (1) ◽  
pp. S706-S707
Author(s):  
Ofer Erez ◽  
Eunjung Jung ◽  
Tinnakorn Chaiworapongsa ◽  
Dereje W. Gudicha ◽  
Dahiana Gallo ◽  
...  

2020 ◽  
Vol 191 ◽  
pp. S31-S36
Author(s):  
Anton Ilich ◽  
Vaibhav Kumar ◽  
Michael Henderson ◽  
Ranjeeta Mallick ◽  
Philip Wells ◽  
...  

2016 ◽  
Vol 140 ◽  
pp. S172-S173 ◽  
Author(s):  
A. Young ◽  
J. Phillips ◽  
H. Hancocks ◽  
C. Hill ◽  
N. Joshi ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1285-1285
Author(s):  
Alpesh Amin ◽  
Jay Lin ◽  
Greg Lenhart ◽  
Kathy Schulman

Abstract Introduction: Venous thromboembolism (VTE) remains a frequent in-hospital complication in the United States (US) despite being largely preventable via the appropriate use of thromboprophylaxis. This study compared the economic outcomes of two frequently used thromboprophylaxis options (enoxaparin and unfractionated heparin [UFH]) in a large, real-world population of US medical and surgical patients at risk for VTE and receiving appropriate prophylaxis. Methods: Discharges from the MarketScan® Hospital Drug Database from Thomson Reuters (Jan 04 – Mar 07) that were at risk of VTE (according to the 7th American College of Chest Physicians [ACCP] guidelines), spent ≥6 days in hospital (to indicate a high VTE-risk population), and received appropriate (for dose and duration per the specific ACCP recommendation for the discharge’s primary medical diagnosis or surgical procedure) enoxaparin or UFH thromboprophylaxis, were included in the study. At least one day of enoxaparin ≥40 mg per day or UFH ≥10,000 units per day represented appropriate dose of prophylaxis. Prophylaxis duration was considered appropriate if it was received each day of the admission except two days for patients at medical risk (to allow for partial days of stay at admission and discharge), and each day of the admission after surgery except for two days in patients with surgical risk. Discharges that received other anticoagulants, inappropriate enoxaparin or UFH prophylaxis, or had contraindications to anticoagulation were excluded. Hospital costs were tallied for the duration of patient hospitalization and compared between enoxaparin and UFH groups (by intention to treat). Data are presented in US $ as mean ± standard deviation (SD). Multivariate analysis was performed to predict differences in hospital costs, using generalized linear models with patient and hospital characteristics as the explanatory variables. The costs of in-hospital clinical outcomes, such as VTE or bleeding, are reported within the overall costs. Results: A total of 5,136 patients were included in the study, with 4,014 (78.2%) receiving appropriate enoxaparin prophylaxis and 1,122 (21.8%) receiving appropriate UFH prophylaxis. Total in-hospital length of stay was similar between patients receiving enoxaparin and UFH for both the qualifying admission (9.2±4.6 vs 9.6±5.2 days) and for total stay including readmissions (10.2 ± 5.9 vs 10.6 ± 6.5 days). The total mean hospital costs per discharge were $16,865 ± $10,979 in the enoxaparin group and $19,252 ± $14,970 in the UFH group. Room and board, operating room, and medical supply costs were lower with enoxaparin than with UFH, where as total pharmacy costs were higher with enoxaparin than with UFH (Table 1). In the univariate analysis, a mean saving of $2,388 was observed with enoxaparin (95% CI $1,596 to 3,180, p&lt;0.001) and this translated to a non-significant adjusted mean difference of $439 (p=0.0716) in favor of enoxaparin following multivariate analysis. Conclusions: These findings demonstrate that the appropriate use of enoxaparin prophylaxis for the prevention of VTE in at-risk hospitalized medical and surgical patients is associated with a non-significant reduction in total hospital costs compared with the appropriate use of UFH prophylaxis. Table 1. Hospital costs for appropriate enoxaparin and UFH prophylaxis. Hospital costs (mean $ ± SD) Enoxaparin group N=4,014 UFH group N=1,122 All room and board 1,370 ± 2,696 2,150 ± 3,158 Operating and recovery room 928 ± 1,448 1,660 ± 1,817 Radiology 501 ± 1,100 494 ± 921 Laboratory tests 579 ± 565 699 ± 746 Medical supplies 1,369 ± 2,696 2,149 ± 3,159 Respiratory therapy 647 ± 1,026 597 ± 1,340 Mechanical prophylaxis 3 ± 16 6 ± 33 Pharmacy 1,997 ± 1,762 1,721 ± 2,093 Total hospital costs 16,865 ± 10,979 19,252 ± 14,970


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