BACKGROUND: Fatal bleeding is a serious consequence of anticoagulant therapy, but factors associated with fatal bleeding during the first 3 months of treatment of venous thromboembolism (VTE) are uncertain. METHODS: Using data from RIETE, an ongoing registry of consecutive patients with acute VTE, we assessed risk factors for fatal bleeding among all patients. We then used this information to derive a clinical model that would stratify a patient's risk of fatal bleeding during the first 3 months of treatment. RESULTS: Of 24 395 patients, 546 (2.24%) had a major bleed and 135 (0.55%) had a fatal bleed. The gastrointestinal tract was the most common site (40% of fatal bleeds), followed by intracranial bleeding (25%). Fatal bleeding was independently associated with the following factors at the time of VTE diagnosis: age >75 years (OR, 2.16), metastatic cancer (OR, 3.80), immobility > or = 4 days (OR, 1.99), a major bleed within the past 30 days (OR, 2.64), an abnormal prothrombin time (OR, 2.09), a platelet count < 100 x 10(9) L(-1) (OR, 2.23), creatinine clearance < 30 mL min(-1) (OR, 2.27), anemia (OR, 1.54), and distal deep vein thrombosis (OR, 0.39). INR at the time of bleeding is not known. A clinical prediction rule for risk of fatal bleeding that included nine baseline factors was derived. Fatal bleeding occurred in 0.16% (95% CI, 0.11-0.23) of the low-risk, 1.06% (95% CI, 0.85-1.30) of the moderate-risk, and 4.24% (95% CI, 2.76-6.27) of the high-risk category. CONCLUSIONS: Patient characteristics and laboratory variables can identify patients at high risk for fatal bleeding during treatment of VTE.
BACKGROUND: Fatal bleeding is a serious consequence of anticoagulant therapy, but factors associated with fatal bleeding during the first 3 months of treatment of venous thromboembolism (VTE) are uncertain. METHODS: Using data from RIETE, an ongoing registry of consecutive patients with acute VTE, we assessed risk factors for fatal bleeding among all patients. We then used this information to derive a clinical model that would stratify a patient's risk of fatal bleeding during the first 3 months of treatment. RESULTS: Of 24 395 patients, 546 (2.24%) had a major bleed and 135 (0.55%) had a fatal bleed. The gastrointestinal tract was the most common site (40% of fatal bleeds), followed by intracranial bleeding (25%). Fatal bleeding was independently associated with the following factors at the time of VTE diagnosis: age >75 years (OR, 2.16), metastatic cancer (OR, 3.80), immobility > or = 4 days (OR, 1.99), a major bleed within the past 30 days (OR, 2.64), an abnormal prothrombin time (OR, 2.09), a platelet count < 100 x 10(9) L(-1) (OR, 2.23), creatinine clearance < 30 mL min(-1) (OR, 2.27), anemia (OR, 1.54), and distal deep vein thrombosis (OR, 0.39). INR at the time of bleeding is not known. A clinical prediction rule for risk of fatal bleeding that included nine baseline factors was derived. Fatal bleeding occurred in 0.16% (95% CI, 0.11-0.23) of the low-risk, 1.06% (95% CI, 0.85-1.30) of the moderate-risk, and 4.24% (95% CI, 2.76-6.27) of the high-risk category. CONCLUSIONS:Patient characteristics and laboratory variables can identify patients at high risk for fatal bleeding during treatment of VTE.
Authors: Clive Kearon; Elie A Akl; Anthony J Comerota; Paolo Prandoni; Henri Bounameaux; Samuel Z Goldhaber; Michael E Nelson; Philip S Wells; Michael K Gould; Francesco Dentali; Mark Crowther; Susan R Kahn Journal: Chest Date: 2012-02 Impact factor: 9.410
Authors: Caio Julio Cesar Dos Santos Fernandes; José Leonidas Alves Júnior; Francisca Gavilanes; Luis Felipe Prada; Luciana Kato Morinaga; Rogerio Souza Journal: J Bras Pneumol Date: 2016-04 Impact factor: 2.624
Authors: Abdullah Pandor; Daniel Horner; Sarah Davis; Steve Goodacre; John W Stevens; Mark Clowes; Beverley J Hunt; Tim Nokes; Jonathan Keenan; Kerstin de Wit Journal: Health Technol Assess Date: 2019-12 Impact factor: 4.014
Authors: M Carrier; N Blais; M Crowther; P Kavan; G Le Gal; O Moodley; S Shivakumar; V Tagalakis; C Wu; A Y Y Lee Journal: Curr Oncol Date: 2018-10-31 Impact factor: 3.677