Skip to content
cardio.webdr
ToolsSpecialtiesEchoHeart sounds
ToolsSpecialtiesEchoHeart soundsFavoritesPrivate notes
cardio.webdr

Clinical clarity, in seconds. Built for focused decisions—not data collection.

Patient inputs stay on this device.
ExploreAll toolsSpecialtiesEchocardiographyHeart sounds
Your workspaceFavoritesPrivate notesCalculation historyOffline access
PlatformAboutFAQDevelopersFeedbackContact
© 2026 CardioWebdr Clinical support, not a substitute for judgment.PrivacyTermsStorageSupportReport an issue
All tools/Coronary Artery Disease Scores
Interactive worksheet8 clinical inputsPatient data not stored

GRACE 2.0 Risk Calculator for ACS

GRACE 2.0 Risk Calculator for Acute Coronary Syndromes: Explanation and Clinical Context The GRACE risk model is a guideline supported prognostic tool for patients with acute coronary syndromes and is recommended in the 2025 American guideline on acute coronary syndromes to support risk assessment and to inform the choice and timing of an invasive strategy, especially in patients with non ST elevation acute coronary

Interactive worksheet

Clinical inputs

0/8 filled
Inputs stay on this device
Active structured worksheetActive local worksheet for structured input capture, review, copying, and export on this device. It deliberately makes no numerical or evidence claim without a reproducible primary source.
Clinical contextWhy this tool matters and how to interpret it

Understand the result,
not just the number.

GRACE 2.0 Risk Calculator for Acute Coronary Syndromes: Explanation and Clinical Context The GRACE risk model is a guideline supported prognostic tool for patients with acute coronary syndromes and is recommended in the 2025 American guideline on acute coronary syndromes to support risk assessment and to inform the choice and timing of an invasive strategy, especially in patients with non ST elevation acute coronary syndromes. The GRACE 2.0 concept builds on the original GRACE registry work by using eight core admission variables that are readily available in routine care which are age heart rate systolic blood pressure Killip class serum creatinine ST segment deviation the presence of cardiac arrest at admission and elevation of cardiac biomarkers. These variables capture haemodynamic status ventricular function electrical instability renal function and objective evidence of myocardial injury and ischaemia and together they provide a more accurate estimate of mortality risk than subjective clinical judgement alone.

This calculator implements a published GRACE logistic model for in hospital mortality using those eight clinical predictors. The model outputs the estimated probability of death during the index hospitalisation as a percentage and also classifies risk into three categories that are consistent with GRACE based literature low risk for values below one percent intermediate risk for values between one and three percent and high risk for values greater than three percent. In practice patients with higher GRACE risk have greater absolute benefit from an early routine invasive strategy and more intensive monitoring while patients with low risk can often be managed with a selective invasive strategy and may be candidates for earlier discharge when clinically stable according to the 2025 acute coronary syndromes guideline.

Clinicians should apply this score only after confirming the diagnosis of acute coronary syndrome and should not delay time sensitive reperfusion for patients with ST elevation myocardial infarction. The score is prognostic and does not replace clinical assessment comorbid conditions or patient preferences and calibration may vary between populations so local validation is advisable especially in very elderly or frail patients. Reference Rao S and colleagues.

2025 ACC AHA ACEP NAEMSP SCAI Guideline for the Management of Patients With Acute Coronary Syndromes. J Am Coll Cardiol. 2025 Granger CB et al.

Predictors of hospital mortality in the Global Registry of Acute Coronary Events. Arch Intern Med. 2003 Fox KAA et al.

Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome prospective multinational observational study GRACE. BMJ. 2006 Fox KAA et al.

Should patients with acute coronary disease be stratified for management according to their risk derivation external validation and outcomes using the updated GRACE risk score. BMJ Open. 2014

Clinical discussionModerated, tool-specific conversation

Loading discussion…

Moderated before publishingNever include patient identifiers.

Workspace mode

Structured worksheet

Active local worksheet for structured input capture, review, copying, and export on this device. It deliberately makes no numerical or evidence claim without a reproducible primary source.

On this pageWorksheet Clinical context Discussion

Privacy by default

Inputs, results, favorites, and notes remain in your browser unless you explicitly export them.

Privacy details
Report formula or content issue
Continue exploring

Related clinical tools

More in this specialty
Interactive worksheet

Ticagrelor Continue vs De Escalate Tool

Coronary Artery Disease Scores
Interactive worksheet

Short DAPT Eligibility Calculator

Coronary Artery Disease Scores
Interactive worksheet

Stress Test versus Coronary CT Before Discharge Pathway Tool

Coronary Artery Disease Scores
Interactive worksheet

Post Cardiac Arrest STEMI Prognostic Scoring Tool

Coronary Artery Disease Scores
This active worksheet captures and exports structured inputs locally. It does not assert a numerical formula or evidence claim without a reproducible primary source.