scholarly journals Predictive ability of bleeding risk scores in the routine clinical practice

2014 ◽  
Vol 4 (3) ◽  
pp. 205-210 ◽  
Author(s):  
Albert Ariza-Solé ◽  
Joel Salazar-Mendiguchía ◽  
Victòria Lorente ◽  
José Carlos Sánchez-Salado ◽  
Rafael Romaguera ◽  
...  
2017 ◽  
Vol 43 (05) ◽  
pp. 514-524 ◽  
Author(s):  
Anna Parks ◽  
Margaret Fang

AbstractAnticoagulant medications are frequently used to prevent and treat thromboembolic disease. However, the benefits of anticoagulants must be balanced with a careful assessment of the risk of bleeding complications that can ensue from their use. Several bleeding risk scores are available, including the Outpatient Bleeding Risk Index, HAS-BLED, ATRIA, and HEMORR2HAGES risk assessment tools, and can be used to help estimate patients' risk for bleeding on anticoagulants. These tools vary by their individual risk components and in how they define and weigh clinical factors. However, it is not yet clear how best to integrate bleeding risk tools into clinical practice. Current bleeding risk scores generally have modest predictive ability and limited ability to predict the most devastating complication of anticoagulation, intracranial hemorrhage. In clinical practice, bleeding risk tools should be paired with a formal determination of thrombosis risk, as their results may be most influential for patients at the lower end of thrombosis risk, as well as for highlighting potentially modifiable risk factors for bleeding. Use of bleeding risk scores may assist clinicians and patients in making informed and individualized anticoagulation decisions.


2016 ◽  
Vol 35 (12) ◽  
pp. 637-644
Author(s):  
Alberto Garay ◽  
Albert Ariza-Solé ◽  
Francesc Formiga ◽  
Victoria Lorente ◽  
José C. Sánchez-Salado ◽  
...  

2016 ◽  
Vol 35 (12) ◽  
pp. 637-644
Author(s):  
Alberto Garay ◽  
Albert Ariza-Solé ◽  
Francesc Formiga ◽  
Victoria Lorente ◽  
José C. Sánchez-Salado ◽  
...  

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2311-2311
Author(s):  
Sarag Burgess ◽  
Natalie Crown ◽  
Martha L Louzada ◽  
George Dresser ◽  
Richard Kim ◽  
...  

Abstract Abstract 2311 Oral anticoagulant therapy (OAT) is effective in preventing thrombotic complications in atrial fibrillation (AF) and venous thrombosis but its use is associated with increased bleeding. Risk scores such as CHADS2 are used to predict thrombotic complications in patients with AF, but scores predicting bleeding are less studied. A number of bleeding risk scores (BRS) has been proposed, however they might have different predictive abilities and performance. Moreover, these scores aim to identify major bleeding (MB) but have not evaluated clinically relevant non-major bleeding (CRNMB). Recent guidelines advocate the use of scores to assess bleeding risk in patients with atrial fibrillation being considered for OAT despite studies suggesting their limited utility. The purpose of this study was to evaluate the performance of 4 validated BRS for predicting MB and CRNMB. We conducted a retrospective, cohort study of consecutive patients enrolled in an academic OAT clinic between September 2008 and February 2011. Information regarding bleeding risk factors was collected for 4 BRS: Outpatient Bleeding Risk Index (OBRI; Beyth et al., Am J Med 1998), Contemporary Bleeding Risk Model (CBRM; Shireman et al., Chest 2006), HEMORR2HAGES (Gage et al. Am Heart J 2006), and HAS-BLED (Pisters et al., Chest 2010). Main outcomes were MB (Schulman J Thromb Haemost 2005) and a composite of MB + CRNMB (defined as overt bleeding that does not meet the criteria for MB but is associated with medical intervention, unscheduled contact, cessation of treatment, or associated with other discomfort (e.g. pain, impairment of daily activities). Incidence rates (IR) were calculated for each BRS and risk category. Correlation of bleeding risk categories among different BRS was assessed using the Kendall's tau-b coefficient. Predictive ability of each tool was evaluated using the C-statistic. Groups were compared using Fisher's exact, χ2, Mann-Whitney U, or Student's T tests. Hazard ratios (HR) for each score and risk category were estimated using Cox regression. We included 321 consecutive patients with a total follow-up of 319.2 patient-years. Mean age (SD) was 69.2 (13.6) years, 57% were males and 72.6% had AF. Overall IR for MB and MB + CRNMB were 3.7, and 11.2 events/100 patient-years, respectively. IRs for MB and MB + CRNMB separated by BRS and risk category are shown in Table 1 together with % of patients within each category. Overall, agreement among the 4 BRS was low to moderate with Kendall's tau-b coefficients ranging from 0.295 (OBRI vs CBRM) to 0.537 (HEMORR2HAGES vs HAS-BLED). C-statistics (95%CI) for predicting MB were 0.606 (0.435–0.777), 0.714 (0.548–0.879), 0.735 (0.583–0.886), and 0.672 (0.523–0.820), whereas those for predicting MB + CRNMB were 0.549 (0.452–0.645), 0.591 (0.489–0.692), 0.613 (0.517–0.709), and 0.587 (0.487–0.686) for OBRI, CBRM, HEMORR2HAGES and HAS-BLED, respectively. HRs for MB and MB + CRNMB are shown in Table 2. The best predictive ability for both MB and MB + CRNMB was for CBRM and HEMORR2HAGES. In conclusion, BRS classified bleeding risks differently. Predictive ability was moderate for MB and poor for MB + CRNMB. Overall, BRS are more helpful to identify patients at high bleeding risk, but they did not adequately identify patients at intermediate risk. Further studies assessing both MB and CRNMB are needed.Table 1.IR for bleeding eventsEvents/100 person-years (% patients in category)Score/OutcomeRisk CategoryMBLowIntermediateHigh    OBRI6.98 (16.2)2.63 (69.8)6.15 (14.0)    CBRM1.76 (70.1)6.62 (29.0)79.00 (0.9)    HEMORR2HAGES1.32 (48.9)3.71 (41.1)14.68 (10.0)    HAS-BLED0 (10.3)2.60 (60.1)7.38 (29.6)MB + CRNMB    OBRI9.3411.9714.68    CBRM9.6216.1279.00    HEMORR2HAGES8.2014.0620.94    HAS-BLED9.879.0718.91Table 2.HR for bleeding eventsMBMB+CRNBBleeding Risk ScoreHR95% CIpHR95% CIpOBRI    LowRefRef0.278RefRef0.798    Intermediate0.380.09–1.510.1691.290.45–3.690.636    High0.900.18–4.460.8951.520.44–5.220.503CBRM    LowRefRef<0.001RefRef0.007    Intermediate3.671.04–13.010.0441.790.92–3.480.085    High39.016.99–217.70<0.0018.712.02–37.520.004HEMORR2HAGES    LowRefRef0.008RefRef0.110    Intermediate2.770.54–14.280.2241.800.88–3.720.110    High10.942.12–56.420.0042.541.00–6.460.050HAS-BLED    LowRefRef0.212RefRef0.118    IntermediateNENE0.9490.970.28–3.290.959    HighNENE0.9431.910.56–6.520.302 Disclosures: Lazo-Langner: Pfizer Inc.: Honoraria; Leo Pharma: Honoraria.


2016 ◽  
Vol 217 ◽  
pp. 85-91 ◽  
Author(s):  
Laurent Fauchier ◽  
Gwendoline Chaize ◽  
Anne-Françoise Gaudin ◽  
Alexandre Vainchtock ◽  
Sophie K. Rushton-Smith ◽  
...  

1996 ◽  
Vol 76 (05) ◽  
pp. 682-688 ◽  
Author(s):  
Jos P J Wester ◽  
Harold W de Valk ◽  
Karel H Nieuwenhuis ◽  
Catherine B Brouwer ◽  
Yolanda van der Graaf ◽  
...  

Summary Objective: Identification of risk factors for bleeding and prospective evaluation of two bleeding risk scores in the treatment of acute venous thromboembolism. Design: Secondary analysis of a prospective, randomized, assessor-blind, multicenter clinical trial. Setting: One university and 2 regional teaching hospitals. Patients: 188 patients treated with heparin or danaparoid for acute venous thromboembolism. Measurements: The presenting clinical features, the doses of the drugs, and the anticoagulant responses were analyzed using univariate and multivariate logistic regression analysis in order to evaluate prognostic factors for bleeding. In addition, the recently developed Utrecht bleeding risk score and Landefeld bleeding risk index were evaluated prospectively. Results: Major bleeding occurred in 4 patients (2.1%) and minor bleeding in 101 patients (53.7%). For all (major and minor combined) bleeding, body surface area ≤2 m2 (odds ratio 2.3, 95% Cl 1.2-4.4; p = 0.01), and malignancy (odds ratio 2.4, 95% Cl 1.1-4.9; p = 0.02) were confirmed to be independent risk factors. An increased treatment-related risk of bleeding was observed in patients treated with high doses of heparin, independent of the concomitant activated partial thromboplastin time ratios. Both bleeding risk scores had low diagnostic value for bleeding in this sample of mainly minor bleeders. Conclusions: A small body surface area and malignancy were associated with a higher frequency of bleeding. The bleeding risk scores merely offer the clinician a general estimation of the risk of bleeding. In patients with a small body surface area or in patients with malignancy, it may be of interest to study whether limited dose reduction of the anticoagulant drug may cause less bleeding without affecting efficacy.


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