1. External validation and updating of prediction models of bleeding risk in patients with cancer receiving anticoagulants.
- Author
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Trinks-Roerdink EM, Geersing GJ, Hemels M, van Gelder IC, Klok FA, van Smeden M, Rutten FH, and van Doorn S
- Subjects
- Male, Humans, Middle Aged, Aged, Aged, 80 and over, Female, Anticoagulants adverse effects, Hemorrhage chemically induced, Hemorrhage diagnosis, Hemorrhage epidemiology, Atrial Fibrillation, Neoplasms complications, Neoplasms drug therapy
- Abstract
Objective: Patients with cancer are at increased bleeding risk, and anticoagulants increase this risk even more. Yet, validated bleeding risk models for prediction of bleeding risk in patients with cancer are lacking. The aim of this study is to predict bleeding risk in anticoagulated patients with cancer., Methods: We performed a study using the routine healthcare database of the Julius General Practitioners' Network. Five bleeding risk models were selected for external validation. Patients with a new cancer episode during anticoagulant treatment or those initiating anticoagulation during active cancer were included. The outcome was the composite of major bleeding and clinically relevant non-major (CRNM) bleeding. Next, we internally validated an updated bleeding risk model accounting for the competing risk of death., Results: The validation cohort consisted of 1304 patients with cancer, mean age 74.0±10.9 years, 52.2% males. In total 215 (16.5%) patients developed a first major or CRNM bleeding during a mean follow-up of 1.5 years (incidence rate; 11.0 per 100 person-years (95% CI 9.6 to 12.5)). The c-statistics of all selected bleeding risk models were low, around 0.56. Internal validation of an updated model accounting for death as competing risk showed a slightly improved c-statistic of 0.61 (95% CI 0.54 to 0.70). On updating, only age and a history of bleeding appeared to contribute to the prediction of bleeding risk., Conclusions: Existing bleeding risk models cannot accurately differentiate bleeding risk between patients. Future studies may use our updated model as a starting point for further development of bleeding risk models in patients with cancer., Competing Interests: Competing interests: SvD reports an unrestricted institutional grant for performing research in the field of stroke diagnosis from Stoffels-Hornstra. G-JG, FR and MH report unrestricted institutional grants for performing research in the field of atrial fibrillation from Boehringer-Ingelheim, Bayer Healthcare, BMS Pfizer and Daiichi Sankyo. FAK reports research support from Bayer, BMS, BSCI, MSD, Leo Pharma, Actelion, The Netherlands Organisation for Health Research and Development, The Dutch Thrombosis Association, The Dutch Heart Foundation and the Horizon Europe Program. ICVG reports consultancy fees from Boston, BMS and Bayer to the institution, unrestricted research grants from the Netherlands Cardiovascular Research Initiative, unrestricted research grant from the European Union’s Horizon 2020 research and innovation programme under grant agreement; EHRA-PATHS (945260)., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
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