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ORIGINAL RESEARCH

Development and Validation of an Intracranial Hemorrhage Risk Score in Older Adults with Atrial Fibrillation Treated with Oral Anticoagulant

ORCID Icon, ORCID Icon, , , ORCID Icon &
Pages 267-279 | Received 02 Sep 2023, Accepted 07 Feb 2024, Published online: 20 Apr 2024

References

  • Volgman AS, Nair G, Lyubarova R, et al. Management of atrial fibrillation in patients 75 years and older: JACC state-of-the-art review. J Am Coll Cardiol. 2022;79(2):166–179. doi:10.1016/j.jacc.2021.10.037
  • Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation: a major contributor to stroke in the elderly. The Framingham Study. Arch Intern Med. 1987;147(9):1561–1564. doi:10.1001/archinte.1987.00370090041008
  • January CT, Wann LS, Calkins H, et al. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: a Report of the American College of Cardiology/American Heart Association Task force on clinical practice guidelines and the heart rhythm society in collaboration with the society of thoracic surgeons. Circulation. 2019;140(2):e125–e151. doi:10.1161/CIR.0000000000000665
  • Hindricks G, Potpara T, Dagres N, et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): the Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021;42(5):373–498. doi:10.1093/eurheartj/ehaa612
  • Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest. 2010;137(2):263–272. doi:10.1378/chest.09-1584
  • Friberg L, Rosenqvist M, Lip GY. Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study. Eur Heart J. 2012;33(12):1500–1510. doi:10.1093/eurheartj/ehr488
  • Singer DE, Chang Y, Fang MC, et al. The net clinical benefit of warfarin anticoagulation in atrial fibrillation. Ann Internal Med. 2009;151(5):297–305. doi:10.7326/0003-4819-151-5-200909010-00003
  • Banerjee A, Lane DA, Torp-Pedersen C, Lip GY. Net clinical benefit of new oral anticoagulants (dabigatran, rivaroxaban, apixaban) versus no treatment in a ‘real world’ atrial fibrillation population: a modelling analysis based on a nationwide cohort study. Thromb Haemost. 2012;107(3):584–589. doi:10.1160/th11-11-0784
  • Piccini JP, Singer DE. Putting risk prediction in atrial fibrillation into perspective. Eur Heart J. 2012;33(12):1431–1433. doi:10.1093/eurheartj/ehs031
  • Hagerty T, Rich MW. Fall risk and anticoagulation for atrial fibrillation in the elderly: a delicate balance. Cleve Clin J Med. 2017;84(1):35–40. doi:10.3949/ccjm.84a.16016
  • Gage BF, Birman-Deych E, Kerzner R, Radford MJ, Nilasena DS, Rich MW. Incidence of intracranial hemorrhage in patients with atrial fibrillation who are prone to fall. Am J Med. 2005;118(6):612–617. doi:10.1016/j.amjmed.2005.02.022
  • Ko D, Lin KJ, Bessette LG, et al. Trends in use of oral anticoagulants in older adults with newly diagnosed atrial fibrillation, 2010–2020. JAMA Network Open. 2022;5(11):e2242964. doi:10.1001/jamanetworkopen.2022.42964
  • Neidecker M, Patel AA, Nelson WW, Reardon G. Use of warfarin in long-term care: a systematic review. BMC Geriatr. 2012;12:14. doi:10.1186/1471-2318-12-14
  • Wilke T, Groth A, Pfannkuche M, et al. Real life anticoagulation treatment of patients with atrial fibrillation in Germany: extent and causes of anticoagulant under-use. J Thromb Thrombolysis. 2015;40(1):97–107. doi:10.1007/s11239-014-1136-8
  • Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJ, Lip GY. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest. 2010;138(5):1093–1100. doi:10.1378/chest.10-0134
  • Fang MC, Go AS, Chang Y, et al. Death and disability from warfarin-associated intracranial and extracranial hemorrhages. Am J Med. 2007;120(8):700–705. doi:10.1016/j.amjmed.2006.07.034
  • Homer ML, Palmer NP, Fox KP, Armstrong J, Mandl KD. Predicting falls in people aged 65 years and older from insurance claims. Am J Med. 2017;130(6):744.e17–744.e23. doi:10.1016/j.amjmed.2017.01.003
  • Graham DJ, Reichman ME, Wernecke M, et al. Stroke, bleeding, and mortality risks in elderly medicare beneficiaries treated with dabigatran or rivaroxaban for nonvalvular atrial fibrillation. JAMA Intern Med. 2016;176(11):1662–1671. doi:10.1001/jamainternmed.2016.5954
  • Cunningham A, Stein CM, Chung CP, Daugherty JR, Smalley WE, Ray WA. An automated database case definition for serious bleeding related to oral anticoagulant use. Pharmacoepidemiol Drug Saf. 2011;20(6):560–566. doi:10.1002/pds.2109
  • FDA. National drug code directory. Available from: https://www.fda.gov/drugs/drug-approvals-and-databases/national-drug-code-directory. Accessed September 9, 2022.
  • Kim DH, Schneeweiss S, Glynn RJ, Lipsitz LA, Rockwood K, Avorn J. Measuring frailty in medicare data: development and validation of a claims-based frailty index. J Gerontol Ser A. 2017;73(7):980–987. doi:10.1093/gerona/glx229
  • Lip GY, Frison L, Halperin JL, Lane DA. Comparative validation of a novel risk score for predicting bleeding risk in anticoagulated patients with atrial fibrillation: the HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, bleeding history or predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) score. J Am Coll Cardiol. 2011;57(2):173–180. doi:10.1016/j.jacc.2010.09.024
  • Methodology WCCfDS. Structure and principles Norwegian institute of public health Available from: https://www.whocc.no/atc/structure_and_principles/. Accessed September 9, 2022.
  • Simon N, Friedman JH, Hastie T, Tibshirani R. Regularization paths for cox’s proportional hazards model via coordinate descent. J Statist Softw. 2011;39(5):1–13. doi:10.18637/jss.v039.i05
  • Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1–22. doi:10.18637/jss.v033.i01
  • Tibshirani R. Regression shrinkage and selection via the lasso. J Royal Stat Soc Series B. 1996;58:267–288.
  • Hosmer DWL. Applied Logistic Regression. 2nd ed. John Wiley & Sons; 2000.
  • DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–845. doi:10.2307/2531595
  • Cook NR. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem. 2008;54(1):17–23. doi:10.1373/clinchem.2007.096529
  • Pencina MJ, D’Agostino RB, D’Agostino RB, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2):157–172. doi:10.1002/sim.2929
  • Youden WJ. Index for rating diagnostic tests. Cancer. 1950;3(1):32–35. doi:10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
  • Aetion Evidence Platform® (2023). Aetion® Substantiate Software for Real-World Data Analysis. Aetion, Inc. http://aetion.com
  • Gagne JJ, Glynn RJ, Avorn J, Levin R, Schneeweiss S. A combined comorbidity score predicted mortality in elderly patients better than existing scores. J Clin Epidemiol. 2011;64(7):749–759. doi:10.1016/j.jclinepi.2010.10.004
  • Staerk L, Sherer JA, Ko D, Benjamin EJ, Helm RH. Atrial Fibrillation: epidemiology, Pathophysiology, and Clinical Outcomes. Circ Res. 2017;120(9):1501–1517. doi:10.1161/circresaha.117.309732
  • Man-Son-Hing M, Nichol G, Lau A, Laupacis A. Choosing antithrombotic therapy for elderly patients with atrial fibrillation who are at risk for falls. Arch Intern Med. 1999;159(7):677–685. doi:10.1001/archinte.159.7.677
  • Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation. Analysis of pooled data from five randomized controlled trials. Arch Intern Med. 1994;154(13):1449–1457. doi:10.1001/archinte.1994.00420130036007
  • The efficacy of aspirin in patients with atrial fibrillation. Analysis of pooled data from 3 randomized trials. The Atrial Fibrillation Investigators. Arch Intern Med. 1997;157(11):1237–1240. doi:10.1001/archinte.1997.00440320143013
  • Callahan KE, Clark CJ, Edwards AF, et al. Automated frailty screening at-scale for pre-operative risk stratification using the electronic frailty index. J Am Geriatr Soc. 2021;69(5):1357–1362. doi:10.1111/jgs.17027
  • Electronic Frailty Index; 2023. Available from: https://www.england.nhs.uk/ourwork/clinical-policy/older-people/frailty/efi/#the-contract-requires-general-practice-to-use-An-appropriate-tool-for-example-The-electronic-frailty-index-efi-what-is-The-efi. Accessed September 9, 2022.
  • Donze J, Clair C, Hug B, et al. Risk of falls and major bleeds in patients on oral anticoagulation therapy. Am J Med. 2012;125(8):773–778. doi:10.1016/j.amjmed.2012.01.033
  • Rao MP, Vinereanu D, Wojdyla DM, et al. Clinical outcomes and history of fall in patients with atrial fibrillation treated with oral anticoagulation: insights from the ARISTOTLE trial. Am J Med. 2018;131(3):269–275.e2. doi:10.1016/j.amjmed.2017.10.036
  • Kim DH, Pawar A, Gagne JJ, et al. Frailty and clinical outcomes of direct oral anticoagulants versus warfarin in older adults with atrial fibrillation: a cohort study. Ann Internal Med. 2021;174(9):1214–1223. doi:10.7326/m20-7141