(Congestive heart failure/Left ventricular dysfunction, Hypertension, Age ≥ 75 years, Diabetes mellitus, Prior Stroke/Transient ischaemic attack/Thromboembolism, Vascular disease, Age 65-74 years, Sex category)
Original publication: https://doi.org/10.1378/chest.09-1584
Predicts the 1-year risk of thromboembolic events in patients with atrial fibrillation (AF)
(Hypertension, Abnormal renal and liver function, Stroke, Bleeding, Labile international normalized ratios, Elderly, Drugs or alcohol)
Original publication: https://doi.org/10.1378/chest.10-0134
Predicts the 1-year risk of major bleeding in AF patients
(Age, Biomarker, Clinical history)
Stroke
Original publication: https://doi.org/10.1093/eurheartj/ehw054
Recalibration: https://doi.org/10.1161/CIRCULATIONAHA.120.053100
Predicts the 1-year risk of stroke in AF patients
Bleeding
Original publication: https://doi.org/10.1016/S0140-6736(16)00741-8
Recalibration: https://doi.org/10.1161/CIRCULATIONAHA.120.053100
Predicts the 1-year risk of bleeding in AF patients
Death
Original publication: https://doi.org/10.1093/eurheartj/ehx584
Predicts the 1-year risk of death in AF patients
(Cohorts for Heart and Aging Research in Genomic Epidemiology)
Original publication: https://doi.org/10.1161/JAHA.112.000102
Predicts the 5-year incidence of AF
(Secondary Manifestations of ARTerial disease)
Original publication: https://doi.org/10.1136/heartjnl-2013-303640
Recalibration: https://doi.org/10.1161/CIRCULATIONAHA.116.021314
Assumptions on the effects of antithrombotic treatment: https://doi.org/10.1016/S0140-6736(09)60503-1
Predicts the 10-year risk of recurrent ischaemic events in patients with pre-existing vascular disease
(Secondary Manifestations of ARTerial disease-REduction of Atherothrombosis for Continued Health)
Original publication: https://doi.org/10.1161/JAHA.118.009217
Predicts the 10-year risk and lifetime risk (i.e. risk until age 90 years) for (recurrent) myocardial infarction, stroke or vascular death and (recurrent) event free life-expectancy
(Meta-Analysis Global Group In Chronic Heart Failure )
Original publication: https://doi.org/10.1093/eurheartj/ehs337
Important
The implementation differs from the formula presented in the article!
Statement on the website of the online calculator:
From 18 September 2013, the integer score will increase by 2 if heart failure was diagnosed > 18 months ago.
This may affect a comparison of the current result to risk assessments before this date.
Calculator returns integer risk score, can be used to look up 1- and 3-year risk of death for patients with heart failure (HF)
Original publication (v1): https://doi.org/10.1371/journal.pone.0085466
Recalibration (v2): https://doi.org/10.1002/ejhf.949
Recalibration (v3): https://doi.org/10.1002/ejhf.2752
Predicts risk of all-cause death, HF-related hospital readmission, the combination of both endpoints, and life expectancy
Predicts the risk at 1 to 5 years
Preliminary results presented at GMDS Jahrestagung 2024: https://doi.org/10.3205/24GMDS112
pip install acribis-scores# Clone repository
git clone [email protected]:IMI-HD/acribis_scores_python.git
cd acribis_scores_python
# Build
py -m build
# Install
py -m pip install dist/acribis_scores-<version>-py3-none-any.whl
# Run simple gui
py src/demo/gui.pyFor automated testing against the R implementation and online/Excel calculators (if available) of these scores, clone the R project and follow the instructions there (https://github.com/IMI-HD/acribis_scores_r). Run the R Shiny app locally on port 80:
# In the acribis_scores_r folder
shiny::runApp("app/demo_gui.R", port=80)Install Selenium and run the tests:
# Install Selenium
pip install selenium
# In the acribis_scores_python folder
py -m unittest discover tests