Free GRACE Calculator

Patient Information

years
bpm
mmHg

Killip Class

Clinical Features

Enter patient data to calculate the GRACE risk score and mortality prediction

GRACE Score Calculator: Assessing Mortality Risk in Acute Coronary Syndrome

The GRACE (Global Registry of Acute Coronary Events) risk score is a validated clinical tool designed to estimate the probability of death in patients presenting with acute coronary syndrome (ACS). This calculator leverages data from an international registry that included over 100,000 patients from more than 250 hospitals, initiated in 1999 and continuously refined. It supports two core models: the in-hospital mortality model developed by Granger and the six-month post-admission mortality model developed by Fox. By using the GRACE risk score, clinicians can better stratify patients and guide therapeutic decisions based on short- and long-term risk.

Required Variables

To use the GRACE score calculator, the following eight variables must be collected:

  1. Age (years)
  2. Heart rate (beats per minute)
  3. Systolic blood pressure (mmHg)
  4. Creatinine (mg/dL or μmol/L)
  5. Killip class (I through IV)
  6. Cardiac arrest (presence or absence)
  7. ST‑segment deviation (elevation or depression)
  8. Elevated cardiac enzymes (e.g., troponin, myoglobin, creatine kinase)

The Killip classification reflects the severity of heart failure during acute myocardial infarction. The table below outlines each class and its associated clinical signs:

Killip classSigns and symptoms
INo clinical signs of heart failure
IIRales/crackles in lungs, elevated jugular venous pressure
IIIAcute pulmonary edema
IVCardiogenic shock (systolic BP < 90 mmHg, oliguria, cyanosis)

The three binary variables (cardiac arrest, ST deviation, elevated enzymes) are recorded as “present” (1) or “absent” (0).

Calculation Methodology

After entering the required data, the tool calculates the GRACE risk score (total points) using a weighted scoring system. For the in‑hospital mortality model, the total points are determined by the following linear equation (each variable is first converted to points according to specific look‑up tables):

Total points=  Age points+Heart rate points+sBP points+Creatinine points+Killip points+(28×ST deviation)+(14×Elevated enzymes)+(39×Cardiac arrest)\begin{aligned} \text{Total points} = &\; \text{Age points} + \text{Heart rate points} + \text{sBP points} + \text{Creatinine points} \\ &+ \text{Killip points} + (28 \times \text{ST deviation}) \\ &+ (14 \times \text{Elevated enzymes}) + (39 \times \text{Cardiac arrest}) \end{aligned}

The same structure applies to the six‑month model but with a different weight set (derived from Fox et al.). Once the total points are obtained, they can be mapped to an estimated mortality rate using published nomograms; this calculator displays both the score and the corresponding predicted mortality.

Point Conversion Tables for Variables

Age Points

Age (years)Points
< 350
35 – 45(Age−35)×1.8(Age - 35) \times 1.8
45 – 5518+(Age−45)×1.818 + (Age - 45) \times 1.8
55 – 6536+(Age−55)×1.836 + (Age - 55) \times 1.8
65 – 7554+(Age−65)×1.954 + (Age - 65) \times 1.9
75 – 8573+(Age−75)×1.873 + (Age - 75) \times 1.8
85 – 9091+(Age−85)×1.891 + (Age - 85) \times 1.8
≥ 90100

Heart Rate Points

Heart rate (bpm)Points
< 500
50 – 60(HR−50)×310(HR - 50) \times \frac{3}{10}
60 – 703+(HR−60)×3103 + (HR - 60) \times \frac{3}{10}
70 – 806+(HR−70)×3106 + (HR - 70) \times \frac{3}{10}
80 – 909+(HR−80)×3109 + (HR - 80) \times \frac{3}{10}
90 – 10012+(HR−90)×31012 + (HR - 90) \times \frac{3}{10}
100 – 11015+(HR−100)×31015 + (HR - 100) \times \frac{3}{10}
110 – 15018+(HR−110)×124018 + (HR - 110) \times \frac{12}{40}
150 – 20030+(HR−150)×165030 + (HR - 150) \times \frac{16}{50}
≥ 20046

Systolic Blood Pressure Points

sBP (mmHg)Points
< 8058
80 – 10058−(sBP−80)×102058 - (sBP - 80) \times \frac{10}{20}
100 – 11048−(sBP−100)×51048 - (sBP - 100) \times \frac{5}{10}
110 – 12043−(sBP−110)×41043 - (sBP - 110) \times \frac{4}{10}
120 – 13039−(sBP−120)×51039 - (sBP - 120) \times \frac{5}{10}
130 – 14034−(sBP−130)×51034 - (sBP - 130) \times \frac{5}{10}
140 – 15029−(sBP−140)×51029 - (sBP - 140) \times \frac{5}{10}
150 – 16024−(sBP−150)×51024 - (sBP - 150) \times \frac{5}{10}
160 – 18019−(sBP−160)×92019 - (sBP - 160) \times \frac{9}{20}
180 – 20010−(sBP−180)×102010 - (sBP - 180) \times \frac{10}{20}
≥ 2000

Creatinine Points (mg/dL)

If the creatinine level is measured in μmol/L, divide the value by 88.4 to convert to mg/dL before using this table.

Creatinine (mg/dL)Points
< 0.2Creatinine×10.2Creatinine \times \frac{1}{0.2}
0.2 – 0.41+(Creatinine−0.2)×20.21 + (Creatinine - 0.2) \times \frac{2}{0.2}
0.4 – 0.63+(Creatinine−0.4)×10.23 + (Creatinine - 0.4) \times \frac{1}{0.2}
0.6 – 0.84+(Creatinine−0.6)×20.24 + (Creatinine - 0.6) \times \frac{2}{0.2}
0.8 – 1.06+(Creatinine−0.8)×10.26 + (Creatinine - 0.8) \times \frac{1}{0.2}
1.0 – 1.27+(Creatinine−1.0)×10.27 + (Creatinine - 1.0) \times \frac{1}{0.2}
1.2 – 1.48+(Creatinine−1.2)×20.28 + (Creatinine - 1.2) \times \frac{2}{0.2}
1.4 – 1.610+(Creatinine−1.4)×10.210 + (Creatinine - 1.4) \times \frac{1}{0.2}
1.6 – 1.811+(Creatinine−1.6)×20.211 + (Creatinine - 1.6) \times \frac{2}{0.2}
1.8 – 2.013+(Creatinine−1.8)×10.213 + (Creatinine - 1.8) \times \frac{1}{0.2}
2.0 – 3.014+(Creatinine−2.0)×714 + (Creatinine - 2.0) \times 7
3.0 – 4.021+(Creatinine−3.0)×721 + (Creatinine - 3.0) \times 7
≥ 4.028

Killip Class Points

Killip classPoints
I0
II20
III39
IV59

Dichotomous Variables

Each of the three binary variables contributes its respective coefficient when present (1) and 0 when absent. The coefficients (28 for ST deviation, 14 for elevated cardiac enzymes, 39 for cardiac arrest) are already included in the equation shown in the Calculation Methodology section.

Tables adapted from the GRACE registry data (© 1998‑2014, Center for Outcomes Research, University of Massachusetts Medical School).

Interpreting the Results

The calculator produces a total GRACE risk score for the selected model (in‑hospital or up to six months). Higher scores correspond to greater mortality risk. Additionally, the estimated probability of death is provided. Clinicians can use this information to decide on treatment intensity, revascularization strategies, and post‑discharge follow‑up.

The GRACE risk score has also been updated to version 2.0, which offers predictions over one‑ and three‑year horizons, further supporting long‑term risk stratification.

Important note: This tool is intended for educational and clinical reference purposes only. It does not replace a comprehensive medical evaluation by a qualified healthcare professional. All clinical decisions should be made in consultation with a licensed physician.

FAQ

1. What variables are required to use the GRACE mortality calculator?

You need eight variables: age, heart rate, systolic blood pressure, creatinine (in mg/dL or μmol/L), Killip class (I–IV), occurrence of cardiac arrest, presence of ST‑segment deviation, and elevated cardiac enzymes.

2. How do I calculate the in-hospital GRACE risk score?

Each of the eight variables is first converted to points using the age, heart rate, systolic blood pressure, creatinine, and Killip class tables. The dichotomous variables (ST deviation, elevated enzymes, cardiac arrest) add 28, 14, and 39 points respectively when present. Summing all points gives the total in-hospital GRACE score, which is then linked to a predicted mortality probability.

3. What does each Killip class indicate clinically?

Killip class I shows no signs of heart failure; class II involves lung crackles and raised jugular venous pressure; class III is acute pulmonary edema; class IV is cardiogenic shock with hypotension and vasoconstriction signs.

4. Can the GRACE score provide long-term mortality estimates?

Yes, the GRACE risk score 2.0 extends predictions to 1‑year and 3‑year mortality, in addition to the standard in‑hospital and six‑month models.

How to Use

  1. Enter the patient's age in years, pulse rate, systolic blood pressure, and creatinine level. Select the appropriate creatinine unit (mg/dL or μmol/L).
  2. Select the Killip class (I–IV) based on the patient's clinical signs of heart failure.
  3. Check the presence of cardiac arrest, ST segment deviation, and elevated cardiac enzymes. Click Calculate to see the GRACE score and mortality risk.