Derivation and validation of a prediction tool for venous thromboembolism : a VERITY registry study
Arya, Roopen, Paneesha, Shankaranarayana, McManus, Aidan, Parsons, Nicholas R., Scriven, Nicholas, Farren, Tim, Nokes, Tim, O'Shaughnessy, Denise and Rose, Peter (2007) Derivation and validation of a prediction tool for venous thromboembolism : a VERITY registry study. In: 49th Annual Meeting of the American Society of Hematology, Atlanta, USA, 08-11 Dec 2007. Published in: Blood, Vol.110 (No.11 Part 1). 214A-214A.Full text not available from this repository.
Official URL: http://abstracts.hematologylibrary.org/cgi/content...
Accurate estimation of risk for venous thromboembolism (VTE) may help clinicians assess prophylaxis needs. Only empirical algorithms and risk scores have been described; an empirical risk score (‘Kucher’) based on 8 VTE risk factors (cancer, prior VTE, hypercoagulability, surgery, age>75 yrs, BMI>29, bed rest, hormonal factor) using electronic alerts improved hospitalized patient outcome (NEJM 2005;352:969–77[Medline]). We wished to develop a multivariate regression model for VTE risk, based on Kucher, and validate its performance. The initial derivation cohort consisted of patients enrolled in ‘VERITY’, a multicentre VTE treatment registry for whom the endpoint of VTE and all 8 risk factors were known. Initial univariate analysis (n=5928; 32.4% with diagnosis of VTE) suggested VTE risk was not accounted for by the 8 factors; an additional 3 were added (leg paralysis, smoking, IV drug use [IVD]). The final derivation cohort was 5241 patients (32.0% with VTE) with complete risk data. The validation cohort (n=915) was derived from a database of 928 consecutively enrolled patients at a single DVT clinic. Model parameters were estimated using the statistical package ‘R’ using a stepwise selection procedure to choose the optimal number of main effects and pair-wise interactions. This showed that advanced age (estimated odds ratio [OR]=2.8, p<0.001); inpatient (OR=3.0, p<0.001); surgery (OR=3.1, p<0.001); prior VTE (OR=2.9, p<0.001); leg paralysis (OR=3.8, p<0.001); cancer (OR=5.3, p<0.001); IVD (OR=14.3, p<0.001); smoking (OR=1.2, p=0.009); and thrombophilia (OR=2.8; p<0.001) increased the risk of VTE. Obesity (OR=0.7; p<0.001) increased the VTE risk only in patients with a hormonal factor (OR=2.0, p=0.007). Backward stepwise regression showed prior VTE as the most important factor followed by cancer, IVD, surgery, inpatient, age, leg paralysis, hormonal factor, obesity, thrombophilia and smoking. Expressing the parameter estimates in terms of probabilities defines a risk score model for VTE. Using the model, the receiver operating characteristic (ROC) curve (see figure) area under the curve (AUC) was estimated as 0.720 (95% CI, 0.705–0.735) for the model (dashed line), indicating a good diagnostic test significantly better (p<0.001) than Kucher (AUC=0.617, 95% CI, 0.599–0.634)(solid line). For the validation cohort, AUC was estimated as 0.678 (95% CI, 0.635–0.721) for the model, which was not significantly different from AUC for the full dataset used for model development, and was 0.587 (95% CI, 0.542–0.632) for Kucher. This model to predict individual patient risk of VTE may contribute to decision making regarding prophylaxis in clinical practice.
|Item Type:||Conference Item (Paper)|
|Subjects:||R Medicine > RB Pathology|
|Divisions:||Faculty of Medicine > Warwick Medical School > Health Sciences
Faculty of Science > Statistics
Faculty of Medicine > Warwick Medical School
|Journal or Publication Title:||Blood|
|Publisher:||American Society of Hematology|
|Date:||16 November 2007|
|Number:||No.11 Part 1|
|Number of Pages:||1|
|Access rights to Published version:||Restricted or Subscription Access|
|Conference Paper Type:||Paper|
|Title of Event:||49th Annual Meeting of the American Society of Hematology|
|Type of Event:||Conference|
|Location of Event:||Atlanta, USA|
|Date(s) of Event:||08-11 Dec 2007|
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