2006
DOI: 10.1378/chest.130.5.1390
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Development of a Contemporary Bleeding Risk Model for Elderly Warfarin Recipients

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Cited by 236 publications
(211 citation statements)
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References 37 publications
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“…We adjusted for risk factors that had been previously shown to be associated with major bleeding, including age, female gender, pulmonary embolism at baseline, active cancer, arterial hypertension, cardiac disease, cerebrovascular disease, chronic liver and renal disease, diabetes mellitus, history of major bleeding, recent surgery, anemia, thrombocytopenia, and the periods of vitamin K antagonist treatment as a time-varying covariate. [24][25][26][27][28][29] Because the use of antiplatelet/non-steroidal anti-inflammatory therapy was included in our definition of polypharmacy, we did not adjust for this variable in our primary analysis. However, given the known association between the use of antiplatelet/ non-steroidal anti-inflammatory drugs and the risk of bleeding in patients receiving vitamin K antagonists, 12,30 the models were also adjusted for this variable in a secondary analysis.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We adjusted for risk factors that had been previously shown to be associated with major bleeding, including age, female gender, pulmonary embolism at baseline, active cancer, arterial hypertension, cardiac disease, cerebrovascular disease, chronic liver and renal disease, diabetes mellitus, history of major bleeding, recent surgery, anemia, thrombocytopenia, and the periods of vitamin K antagonist treatment as a time-varying covariate. [24][25][26][27][28][29] Because the use of antiplatelet/non-steroidal anti-inflammatory therapy was included in our definition of polypharmacy, we did not adjust for this variable in our primary analysis. However, given the known association between the use of antiplatelet/ non-steroidal anti-inflammatory drugs and the risk of bleeding in patients receiving vitamin K antagonists, 12,30 the models were also adjusted for this variable in a secondary analysis.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…[7][8][9][10][11][12] HAS-BLED score [Hypertension (uncontrolled), Abnormal renal/liver function, Stroke, Bleeding history or predisposition (anemia), Labile INR, Elderly (> 65 years), Drugs/alcohol concomitantly] offers a better prediction of bleeding compared with many other bleeding risk scores for AF patients, and has also been validated in several different cohorts, including large real-world and clinical trial populations. 13 The score ranges from 0 to 9, with scores ≥ 3 indicating higher risk of bleeding.…”
Section: Original Articlementioning
confidence: 99%
“…Kad būtų galima tinkamai pasverti potencialią antikoaguliacinio gydymo naudą ir žalą, svarbu žinoti kraujavimo tikimybę konkrečiam pacientui. (8)(9)(10)(11)(12). Informacija gauta iš pacientų elektroninių ligos istorijų (ELI) duomenų bazės.…”
Section: įVadasunclassified