For healthcare professionals
HEMORR2HAGES score calculator
The HEMORR2HAGES score adds points for 11 factors linked to bleeding in older adults with atrial fibrillation (AFib). Prior bleeding counts 2 points and every other factor 1. This tool is written for clinicians and is not a diagnosis.
Patient details
For people with AFib on, or considering, a blood thinner. Nothing you enter leaves this page.
What you will see
The total HEMORR2HAGES score from 0 to 12, its risk group and the points for each factor.
Educational only, not medical advice. Never start, stop or skip a blood thinner on your own.
Source
The HEMORR2HAGES score by Gage BF and colleagues, American Heart Journal 2006 (cited, not quoted), with the items, points and risk groups as printed in the open access Table 1 of Oliveira and colleagues, PLoS One 2018 (CC BY 4.0), and cross-checked against Table 1B of Pastori and colleagues, Frontiers in Cardiovascular Medicine 2019 (CC BY). Sen and colleagues, Frontiers in Cardiovascular Medicine 2025 (CC BY 4.0), print the same risk groups. The tests check each item, the maximum of 12, the group edges and the age 75 edge.
Validated in
The original paper's title names its source, the National Registry of Atrial Fibrillation (NRAF). It has since been tested in other AFib groups, for example 4,824 Chinese inpatients with AFib (Guo and colleagues, 2016) and 280 Brazilian outpatients with heart disease on warfarin (Oliveira and colleagues, 2018).
Limits
Only for people with AFib. It counts bleeding risk factors; it does not estimate stroke risk or weigh the benefit of a blood thinner. The open texts print the risk groups but no bleeding rate for each score, so this tool shows no rate; see the original paper for those. Item definitions differ between the open texts: Pastori and colleagues print the platelet item as a platelet count under 75,000 or antiplatelet therapy, while Oliveira and colleagues defined it as under 150,000 per microliter or antiplatelet use, and their fall risk definition included age over 60, impaired mobility or any factor that predisposes to falls. The genetic item (CYP2C9 variants) is rarely known; Guo and colleagues could not score it, which they note may reduce the score's precision. It was built before the direct oral anticoagulants. Age 75 counts (75 or older); age 74 does not.
The point table
HEMORR2HAGES score, as printed in Oliveira and colleagues 2018, Table 1 (Oliveira 2018), with the same points in Pastori and colleagues 2019, Table 1B (Pastori 2019) (Gage 2006):
- Hepatic or renal disease: 1
- Ethanol (alcohol) abuse: 1
- Malignancy: 1
- Older age (75 or older): 1
- Reduced platelet count or function: 1
- Rebleeding risk (history of bleeding): 2
- Hypertension (uncontrolled): 1
- Anemia: 1
- Genetic factors (CYP2C9 variants): 1
- Excessive fall risk or neuropsychiatric disease: 1
- Stroke or TIA: 1
The maximum is 12. Each letter of the name stands for one item, in the order above; "R2" is rebleeding, the only item worth 2 points.
Oliveira and colleagues print these definitions for their study: hepatic disease as serum albumin under 3.3 g/dL or hepatic failure; renal disease as serum creatinine over 2.3 mg/dL or kidney failure; ethanol abuse as more than 20 units of alcohol a week; uncontrolled hypertension as systolic blood pressure over 160 mmHg; and anemia as hemoglobin under 12 g/dL in women and under 13 g/dL in men (Oliveira 2018).
Worked example: a 78-year-old (1) with a past bleed (2) and anemia (1), and none of the other factors, scores 4, the high group.
Risk groups
Oliveira and colleagues print the groups as low (0 to 1 point), intermediate (2 to 3) and high (4 or more) (Oliveira 2018). Sen and colleagues print the same three groups (Sen 2025). Neither open text prints a bleeding rate for each score, so this page does not give one.
A past bleed alone (2 points) already places someone in the intermediate group.
Reading the result
In 4,824 Chinese inpatients with AFib, Guo and colleagues report a C statistic of 0.69 (95% CI 0.62 to 0.77) for HEMORR2HAGES for major bleeding and 0.73 (0.61 to 0.85) for intracranial hemorrhage, against 0.72 and 0.83 for HAS-BLED. For major bleeding, the difference from HAS-BLED was not statistically significant (p = 0.258) (Guo 2016). In 280 Brazilian outpatients with heart disease on warfarin, Oliveira and colleagues found an AUC of 0.622 (95% CI 0.464 to 0.780) for major bleeding (Oliveira 2018).
The 2023 US atrial fibrillation guideline says that in people at high risk of stroke, bleeding risk scores should not be used on their own to decide whether to take an anticoagulant, but to find and change bleeding risk factors and to inform the decision (ACC/AHA 2023). General safety advice (not part of the score): never stop, skip or change a blood thinner because of a score. Talk to the clinician who prescribes it.
Related tools
For other bleeding scores in AFib, see the HAS-BLED score, the ORBIT bleeding score and, for people on warfarin, the ATRIA bleeding score; for stroke risk with AFib, CHA2DS2-VASc explained. To estimate kidney function, use the creatinine clearance calculator. For falls, see the Morse fall scale. Other bedside scores are listed under For healthcare professionals.
Sources
- Oliveira JAQ, Pinho Ribeiro AL, Ribeiro DD, Nobre V, Rocha MODC, Martins MAP. Predictive ability of scores for bleeding risk in heart disease outpatients on warfarin in Brazil. PLoS One. 2018;13(10):e0205970. doi:10.1371/journal.pone.0205970. PMID 30339702. Open access (CC BY 4.0). Table 1 (HEMORR2HAGES items, points, definitions and risk categories) and Table 4 (AUC). pmc.ncbi.nlm.nih.gov/articles/PMC6195286/
- Pastori D, Menichelli D, Gingis R, Pignatelli P, Violi F. Tailored practical management of patients with atrial fibrillation: a risk factor-based approach. Front Cardiovasc Med. 2019;6:17. doi:10.3389/fcvm.2019.00017. PMID 30915342. Open access (CC BY). Table 1B (HEMORR2HAGES items and points). pmc.ncbi.nlm.nih.gov/articles/PMC6422871/
- Sen L, Kangpin X, Yihui L. Research progress on bleeding risk assessment models in anticoagulant therapy. Front Cardiovasc Med. 2025;12:1645823. doi:10.3389/fcvm.2025.1645823. PMID 41306267. Open access (CC BY 4.0). Table 2 (HEMORR2HAGES risk groups and derivation sample). pmc.ncbi.nlm.nih.gov/articles/PMC12644015/
- Guo YT, Zhang Y, Shi XM, Shan ZL, Wang CJ, Wang YT, Chen YD, Lip GY. Assessing bleeding risk in 4824 Asian patients with atrial fibrillation: the Beijing PLA Hospital Atrial Fibrillation Project. Sci Rep. 2016;6:31755. doi:10.1038/srep31755. PMID 27557876. Open access (CC BY 4.0). Tables 3 and 4. pmc.ncbi.nlm.nih.gov/articles/PMC4997334/
- Gage BF, Yan Y, Milligan PE, Waterman AD, Culverhouse R, Rich MW, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J. 2006;151(3):713-719. doi:10.1016/j.ahj.2005.04.017. Original paper, cited, not quoted. doi.org/10.1016/j.ahj.2005.04.017
- Joglar JA, Chung MK, et al. 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation. J Am Coll Cardiol. 2024;83(1):109-279. doi.org/10.1016/j.jacc.2023.08.017
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