Calculator for Heart Attack Risk

Heart Attack Risk Calculator & Guide | Assess Your Cardiovascular Health body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: #333; background-color: #f8f9fa; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 74, 153, 0.1); } header { text-align: center; padding-bottom: 20px; border-bottom: 1px solid #eee; margin-bottom: 30px; } h1, h2, h3 { color: #004a99; } h1 { font-size: 2.5em; margin-bottom: 0.5em; } h2 { font-size: 1.8em; margin-top: 1.5em; margin-bottom: 0.8em; } h3 { font-size: 1.3em; margin-top: 1.2em; margin-bottom: 0.6em; } .loan-calc-container { background-color: #f0f7ff; padding: 30px; border-radius: 8px; box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05); margin-bottom: 30px; } .input-group { margin-bottom: 20px; } .input-group label { display: block; font-weight: bold; margin-bottom: 8px; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 24px); padding: 12px; border: 1px solid #ccc; border-radius: 5px; font-size: 1em; box-sizing: border-box; margin-top: 5px; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: #004a99; outline: none; box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.9em; color: #666; margin-top: 8px; display: block; } .input-group .error-message { color: #dc3545; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 30px; } button { background-color: #004a99; color: white; border: none; padding: 12px 25px; border-radius: 5px; font-size: 1em; cursor: pointer; transition: background-color 0.3s ease; margin: 0 10px; } button:hover { background-color: #003366; } button.reset-button { background-color: #6c757d; } button.reset-button:hover { background-color: #5a6268; } #results { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; border: 1px solid #dee2e6; text-align: center; } #results h3 { margin-top: 0; color: #004a99; } .primary-result { font-size: 2.2em; font-weight: bold; color: #28a745; margin: 15px 0; padding: 15px; background-color: #fff; border: 2px dashed #28a745; border-radius: 5px; display: inline-block; } .intermediate-results, .key-assumptions { margin-top: 20px; text-align: left; display: inline-block; width: 100%; } .intermediate-results div, .key-assumptions div { margin-bottom: 10px; font-size: 1.1em; color: #004a99; } .intermediate-results span, .key-assumptions span { font-weight: bold; color: #333; } .formula-explanation { font-size: 0.95em; color: #555; margin-top: 15px; text-align: center; border-top: 1px solid #ddd; padding-top: 15px; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { padding: 10px; text-align: left; border-bottom: 1px solid #ddd; } th { background-color: #004a99; color: white; font-weight: bold; } td { background-color: #f8f9fa; } caption { caption-side: top; font-weight: bold; font-size: 1.1em; color: #004a99; margin-bottom: 10px; text-align: left; } canvas { display: block; margin: 20px auto; border: 1px solid #ccc; background-color: #fff; border-radius: 5px; } .chart-legend { text-align: center; margin-top: 10px; font-size: 0.9em; color: #555; } .chart-legend span { display: inline-block; margin: 0 10px; position: relative; padding-left: 20px; } .chart-legend span::before { content: "; display: inline-block; width: 12px; height: 12px; border-radius: 3px; position: absolute; left: 0; top: 3px; } .chart-legend .series-a::before { background-color: #004a99; } .chart-legend .series-b::before { background-color: #28a745; } .article-section { margin-top: 40px; padding-top: 20px; border-top: 1px solid #eee; } .article-section:first-of-type { border-top: none; padding-top: 0; margin-top: 0; } .article-section p { margin-bottom: 15px; } .article-section ul, .article-section ol { margin-left: 20px; margin-bottom: 15px; } .article-section li { margin-bottom: 8px; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid #004a99; background-color: #f0f7ff; border-radius: 3px; } .faq-item strong { display: block; color: #004a99; margin-bottom: 5px; } .internal-links-section ul { list-style: none; padding: 0; } .internal-links-section li { margin-bottom: 15px; } .internal-links-section a { color: #004a99; text-decoration: none; font-weight: bold; } .internal-links-section a:hover { text-decoration: underline; } .internal-links-section span { display: block; font-size: 0.9em; color: #555; margin-top: 3px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } h1 { font-size: 2em; } h2 { font-size: 1.5em; } button { margin: 5px 5px; padding: 10px 15px; font-size: 0.95em; } .primary-result { font-size: 1.8em; } }

Heart Attack Risk Calculator

Assess your estimated 10-year risk of experiencing a heart attack.

Enter your age in years.
Male Female Select your sex assigned at birth for risk stratification.
Your top number when blood pressure is measured (e.g., 120/80).
Your total cholesterol level.
Your 'good' cholesterol level.
No Yes Do you have diabetes?
No Yes Do you currently smoke tobacco?

Your Estimated Heart Attack Risk

10-Year Risk (Low):
10-Year Risk (Moderate):
10-Year Risk (High):

Key Assumptions

Age:
Sex:
Systolic BP: mmHg
Total Cholesterol: mg/dL
HDL Cholesterol: mg/dL
Diabetic:
Smoker:
This calculator provides an estimated 10-year risk of heart attack based on common risk factors. It utilizes a simplified approach inspired by established cardiovascular risk calculators, such as the Framingham Risk Score, to provide an intuitive estimate. It is not a substitute for professional medical advice.

Risk Factor Contribution Chart

Risk Factor Magnitude Age Contribution
This chart visually represents how different risk factors contribute to your overall cardiovascular risk score, alongside the influence of age.

Cardiovascular Risk Factor Table

Factor Your Value Contribution to Risk
Age
Sex
Systolic BP — mmHg
Total Cholesterol — mg/dL
HDL Cholesterol — mg/dL
Diabetic
Smoker

What is a Heart Attack Risk Calculator?

A Heart Attack Risk Calculator is an online tool designed to estimate an individual's likelihood of experiencing a heart attack within a specific timeframe, typically 10 years. It functions by taking into account various established risk factors associated with cardiovascular disease. By inputting personal health data, users can gain a quantitative insight into their potential risk, empowering them to make informed decisions about their health and lifestyle.

Who should use it? Anyone concerned about their cardiovascular health, particularly individuals with one or more known risk factors such as high blood pressure, high cholesterol, diabetes, a history of smoking, or a family history of heart disease, should consider using a heart attack risk calculator. It's also beneficial for those looking to understand the impact of lifestyle changes on their long-term heart health.

Common Misconceptions: A prevalent misconception is that these calculators provide a definitive diagnosis. In reality, they offer an *estimate* based on statistical models. Another misunderstanding is that a low-risk score means complete immunity; protective measures should still be maintained. Conversely, a high-risk score does not guarantee a heart attack will occur, but it highlights a significant need for medical consultation and proactive management.

Heart Attack Risk Calculator: Formula and Mathematical Explanation

The calculation behind a heart attack risk calculator is complex, often based on sophisticated epidemiological studies like the Framingham Heart Study or similar cohort data. While specific proprietary algorithms vary, most calculators aim to quantify the cumulative impact of multiple risk factors.

A simplified conceptual model often involves assigning points or weights to each risk factor. These weights are derived from statistical analyses showing the independent contribution of each factor to the overall risk of cardiovascular events. The total score is then converted into a percentage risk, typically for a 10-year period.

Variables and Their Significance:

Variables Used in Cardiovascular Risk Assessment
Variable Meaning Unit Typical Range
Age Number of years lived Years 20 – 80+
Sex Assigned at Birth Biological sex, influencing hormonal and physiological risk profiles Categorical (Male/Female) Male, Female
Systolic Blood Pressure The highest blood pressure number during a heartbeat mmHg 80 – 180+
Total Cholesterol Overall cholesterol level in the blood mg/dL 100 – 300+
HDL Cholesterol High-Density Lipoprotein ('good') cholesterol mg/dL 20 – 90+
Diabetic Status Presence or absence of diabetes mellitus Categorical (Yes/No) Yes, No
Smoking Status Current tobacco use Categorical (Yes/No) Yes, No

Simplified Calculation Logic (Conceptual):

The core idea is to sum up weighted scores derived from each input. For instance:

  • Age contributes significantly, with older age receiving a higher weight.
  • Male sex often carries a higher initial weight than female sex (though this can change with age).
  • Elevated systolic blood pressure adds points. Treatment for hypertension might be considered a separate factor or integrated.
  • High total cholesterol and low HDL cholesterol contribute to a higher score. The Cholesterol/HDL ratio is also crucial.
  • Diabetes and smoking are potent risk multipliers, significantly increasing the score.

These weighted points are then typically plugged into a survival analysis model (like a Cox proportional hazards model) to estimate the probability of a cardiovascular event (like a heart attack) over the next 10 years. For example, a calculation might look something like:

Risk Score = (Weight_Age * Age) + (Weight_Sex * Sex_Indicator) + (Weight_SBP * SBP) + …

This score is then transformed using a logistic function to yield a percentage risk. This ensures the heart attack risk calculator provides a probability between 0% and 100%.

Practical Examples of Using the Heart Attack Risk Calculator

Understanding how different factors influence your risk is key. Here are a couple of scenarios:

Example 1: A Healthy Middle-Aged Man

  • Inputs: Age: 45, Sex: Male, Systolic BP: 120 mmHg, Total Cholesterol: 180 mg/dL, HDL Cholesterol: 60 mg/dL, Diabetic: No, Smoker: No.
  • Calculation: Using the heart attack risk calculator, these inputs would likely yield a very low score.
  • Estimated Result: Approximately 1-2% 10-year risk.
  • Interpretation: This individual has a low probability of experiencing a heart attack in the next decade, primarily due to favorable lifestyle factors and biometric readings. However, maintaining these healthy habits is crucial for sustained low risk.

Example 2: A Man with Multiple Risk Factors

  • Inputs: Age: 60, Sex: Male, Systolic BP: 150 mmHg, Total Cholesterol: 240 mg/dL, HDL Cholesterol: 40 mg/dL, Diabetic: Yes, Smoker: Yes.
  • Calculation: Inputting these values into the heart attack risk calculator will significantly increase the risk score.
  • Estimated Result: Potentially 20-30% or higher 10-year risk.
  • Interpretation: This individual faces a substantially elevated risk of heart attack. The combination of age, high blood pressure, unfavorable cholesterol profile, diabetes, and smoking creates a potent mix. This result strongly warrants immediate medical consultation to implement aggressive risk reduction strategies, including lifestyle changes and possibly medication. Exploring cardiovascular health management resources is highly recommended.

How to Use This Heart Attack Risk Calculator

Using this heart attack risk calculator is straightforward. Follow these steps:

  1. Gather Your Data: Ensure you have accurate recent readings for your age, sex assigned at birth, systolic blood pressure, total cholesterol, and HDL cholesterol. Know whether you have been diagnosed with diabetes and if you are a current smoker.
  2. Input Your Information: Enter each piece of data into the corresponding field in the calculator. Use the helper text for guidance on units (mmHg, mg/dL).
  3. Calculate: Click the "Calculate Risk" button.
  4. Review Your Results: The primary result will show your estimated 10-year risk percentage. The intermediate results provide context on risk categories, and the key assumptions confirm the data used.
  5. Interpret the Output: Understand that the percentage represents your likelihood of a heart attack in the next decade. Discuss these results with your healthcare provider.
  6. Use the Reset Button: To recalculate with different inputs, use the "Reset" button to clear the fields and start over, or simply change the values and click "Calculate Risk" again.
  7. Copy Results: The "Copy Results" button allows you to easily save or share your calculated risk and the input parameters.

Decision-Making Guidance: A low-risk score (e.g., 20%) is a critical alert, signaling the need for urgent medical attention and a comprehensive plan to mitigate risk.

Key Factors That Affect Heart Attack Risk Results

Several factors significantly influence the output of a heart attack risk calculator. Understanding these can help in interpreting your results and identifying areas for improvement:

  1. Age: Risk naturally increases with age as arteries tend to stiffen and plaque buildup can occur over time. This is often the most significant single predictor.
  2. Blood Pressure (Hypertension): Chronically high blood pressure damages artery walls, making them more susceptible to plaque buildup and increasing the workload on the heart. Even moderately elevated pressure significantly raises risk.
  3. Cholesterol Levels: High levels of LDL ('bad') cholesterol contribute to atherosclerosis (plaque buildup in arteries). Low levels of HDL ('good') cholesterol are also problematic as HDL helps remove LDL from arteries. The ratio between total and HDL cholesterol is a key indicator.
  4. Diabetes Mellitus: Diabetes accelerates atherosclerosis and is often associated with other risk factors like hypertension and unfavorable lipid profiles, significantly multiplying cardiovascular risk.
  5. Smoking: Nicotine constricts blood vessels, carbon monoxide reduces oxygen in the blood, and smoking damages the artery lining, all contributing to increased risk of clots and plaque formation. Quitting smoking is one of the most impactful changes someone can make.
  6. Obesity and Weight Distribution: Excess weight, particularly abdominal fat, is linked to higher blood pressure, cholesterol, and diabetes risk. While not always a direct input, it underlies many other risk factors.
  7. Family History: A genetic predisposition to early heart disease can increase an individual's risk, even with a healthy lifestyle.
  8. Physical Activity Levels: Regular exercise helps manage weight, lower blood pressure, improve cholesterol profiles, and control blood sugar. A sedentary lifestyle contributes to higher risk.

Frequently Asked Questions (FAQ) about Heart Attack Risk

Q1: Is this calculator a substitute for seeing a doctor?

A: No. This heart attack risk calculator provides an estimate. Only a qualified healthcare professional can diagnose your risk accurately and recommend appropriate management strategies.

Q2: What does a "10-year risk" actually mean?

A: It means the probability, expressed as a percentage, that you will experience a major cardiovascular event (like a heart attack or stroke) within the next ten years, based on your current risk factors and the model used.

Q3: If my risk is low, can I stop worrying?

A: A low risk score is positive, but it's not a guarantee of immunity. It's important to maintain a healthy lifestyle and undergo regular check-ups, as risk factors can change over time.

Q4: How often should I use a heart attack risk calculator?

A: It's advisable to use it periodically, perhaps annually, or whenever significant changes occur in your health status, lifestyle, or medical management (e.g., starting a new medication).

Q5: Can my HDL cholesterol be too high?

A: While HDL is 'good' cholesterol, extremely high levels (over 90 mg/dL) are less common and their benefit beyond a certain point is debated. However, for most people, focusing on increasing HDL from lower levels is the priority.

Q6: Does the calculator account for family history?

A: This specific calculator may not directly input family history, as its weighting can vary significantly between models. However, family history is a critical factor your doctor will consider alongside your calculated risk.

Q7: What if my blood pressure is treated with medication?

A: The calculator uses your current measured systolic blood pressure. If it's well-controlled due to medication, that lower reading will reflect in your risk. Discuss with your doctor whether your BP goal is being met.

Q8: Can lifestyle changes really lower my calculated risk?

A: Absolutely. Implementing healthy changes like quitting smoking, adopting a balanced diet, exercising regularly, managing weight, and controlling blood pressure and diabetes can significantly reduce your actual and calculated cardiovascular risk over time.

Related Tools and Internal Resources

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if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2); } return label; } } } } } }); } function calculateRisk() { // Clear previous errors document.getElementById('ageError').style.display = 'none'; document.getElementById('genderError').style.display = 'none'; document.getElementById('systolicBloodPressureError').style.display = 'none'; document.getElementById('cholesterolTotalError').style.display = 'none'; document.getElementById('cholesterolHDLError').style.display = 'none'; document.getElementById('isDiabeticError').style.display = 'none'; document.getElementById('isSmokerError').style.display = 'none'; // Get input values var age = getInputValue('age'); var gender = getSelectValue('gender'); var systolicBP = getInputValue('systolicBloodPressure'); var cholesterolTotal = getInputValue('cholesterolTotal'); var cholesterolHDL = getInputValue('cholesterolHDL'); var isDiabetic = getSelectValue('isDiabetic'); var isSmoker = getSelectValue('isSmoker'); // — Input Validation — var valid = true; if (isNaN(age) || age 120) { document.getElementById('ageError').textContent = 'Please enter a valid age between 1 and 120.'; document.getElementById('ageError').style.display = 'block'; valid = false; } if (systolicBP 250) { document.getElementById('systolicBloodPressureError').textContent = 'Please enter a valid systolic blood pressure (e.g., 80-250 mmHg).'; document.getElementById('systolicBloodPressureError').style.display = 'block'; valid = false; } if (cholesterolTotal 500) { document.getElementById('cholesterolTotalError').textContent = 'Please enter a valid total cholesterol level (e.g., 100-500 mg/dL).'; document.getElementById('cholesterolTotalError').style.display = 'block'; valid = false; } if (cholesterolHDL 150) { document.getElementById('cholesterolHDLError').textContent = 'Please enter a valid HDL cholesterol level (e.g., 20-150 mg/dL).'; document.getElementById('cholesterolHDLError').style.display = 'block'; valid = false; } if (cholesterolTotal <= cholesterolHDL) { document.getElementById('cholesterolHDLError').textContent = 'HDL Cholesterol must be less than Total Cholesterol.'; document.getElementById('cholesterolHDLError').style.display = 'block'; valid = false; } if (gender === null) { document.getElementById('genderError').textContent = 'Please select a gender.'; document.getElementById('genderError').style.display = 'block'; valid = false; } if (isDiabetic === null) { document.getElementById('isDiabeticError').textContent = 'Please select diabetic status.'; document.getElementById('isDiabeticError').style.display = 'block'; valid = false; } if (isSmoker === null) { document.getElementById('isSmokerError').textContent = 'Please select smoking status.'; document.getElementById('isSmokerError').style.display = 'block'; valid = false; } if (!valid) { document.getElementById('primaryResult').textContent = '–'; document.getElementById('intermediate1').querySelector('span').textContent = '–'; document.getElementById('intermediate2').querySelector('span').textContent = '–'; document.getElementById('intermediate3').querySelector('span').textContent = '–'; document.getElementById('assumption1').querySelector('span').textContent = '–'; document.getElementById('assumption2').querySelector('span').textContent = '–'; document.getElementById('assumption3').querySelector('span').textContent = '–'; document.getElementById('assumption4').querySelector('span').textContent = '–'; document.getElementById('assumption5').querySelector('span').textContent = '–'; document.getElementById('assumption6').querySelector('span').textContent = '–'; document.getElementById('assumption7').querySelector('span').textContent = '–'; updateTable({ age: '–', sex: '–', sbp: '–', cholTotal: '–', hdl: '–', diabetic: '–', smoker: '–', ageScore: '–', sexScore: '–', sbpScore: '–', cholTotalScore: '–', hdlScore: '–', diabeticScore: '–', smokerScore: '–'}); updateChart({ ageScore: 0, sexScore: 0, sbpScore: 0, cholesterolTotalScore: 0, cholesterolHDLScore: 0, diabetesScore: 0, smokingScore: 0 }); return; } // — Simplified Risk Calculation Logic (Conceptual – based on typical scoring) — // This is a highly simplified model for demonstration. Real calculators use complex formulas. var riskScore = 0; var ageScore = 0; var sexScore = 0; var sbpScore = 0; var cholesterolTotalScore = 0; var cholesterolHDLScore = 0; var diabetesScore = 0; var smokingScore = 0; // Age component (example scoring) if (age = 40 && age = 50 && age = 60 && age < 70) ageScore = 10; else ageScore = 15; // Sex component (example scoring) if (gender === 'male') sexScore = 1; else sexScore = 0; // Females generally have lower risk pre-menopause // Systolic BP component (example scoring, assuming no treatment for simplicity) if (systolicBP = 120 && systolicBP = 130 && systolicBP = 140 && systolicBP < 150) sbpScore = 3; else sbpScore = 4; // Total Cholesterol component (example scoring) if (cholesterolTotal = 160 && cholesterolTotal = 200 && cholesterolTotal = 60) cholesterolHDLScore = -2; else if (cholesterolHDL >= 50 && cholesterolHDL = 40 && cholesterolHDL < 50) cholesterolHDLScore = 1; else cholesterolHDLScore = 2; // Diabetes component if (isDiabetic === 'yes') diabetesScore = 5; else diabetesScore = 0; // Smoking component if (isSmoker === 'yes') smokingScore = 4; else smokingScore = 0; // Summing up the scores riskScore = ageScore + sexScore + sbpScore + cholesterolTotalScore + cholesterolHDLScore + diabetesScore + smokingScore; // — Convert Score to 10-Year Risk Percentage (Highly simplified conversion) — // This conversion is illustrative. Real models use complex logistic regression. var riskPercentage = 0; if (gender === 'male') { if (riskScore < 5) riskPercentage = 1; else if (riskScore < 10) riskPercentage = 3; else if (riskScore < 15) riskPercentage = 7; else if (riskScore < 20) riskPercentage = 12; else if (riskScore < 25) riskPercentage = 20; else riskPercentage = 30; } else { // Female if (riskScore < 0) riskPercentage = 0.5; else if (riskScore < 5) riskPercentage = 1; else if (riskScore < 10) riskPercentage = 2; else if (riskScore < 15) riskPercentage = 4; else if (riskScore < 20) riskPercentage = 8; else if (riskScore 100) riskPercentage = 100; if (riskPercentage < 0) riskPercentage = 0; // Display Results document.getElementById('primaryResult').textContent = riskPercentage.toFixed(1) + '%'; // Intermediate Results (Categorization) var riskCategory = ""; var lowRiskStart = 0, lowRiskEnd = 5; var moderateRiskStart = 5, moderateRiskEnd = 20; var highRiskStart = 20; if (riskPercentage < moderateRiskStart) { riskCategory = "Low"; document.getElementById('intermediate1').querySelector('span').textContent = 'Low ( 20%)'; } else if (riskPercentage >= moderateRiskStart && riskPercentage < highRiskStart) { riskCategory = "Moderate"; document.getElementById('intermediate1').querySelector('span').textContent = 'Low ( 20%)'; } else { riskCategory = "High"; document.getElementById('intermediate1').querySelector('span').textContent = 'Low ( 20%)'; } // Update Assumptions document.getElementById('assumption1').querySelector('span').textContent = age + ' years'; document.getElementById('assumption2').querySelector('span').textContent = gender.charAt(0).toUpperCase() + gender.slice(1); document.getElementById('assumption3').querySelector('span').textContent = systolicBP + ' mmHg'; document.getElementById('assumption4').querySelector('span').textContent = cholesterolTotal + ' mg/dL'; document.getElementById('assumption5').querySelector('span').textContent = cholesterolHDL + ' mg/dL'; document.getElementById('assumption6').querySelector('span').textContent = isDiabetic === 'yes' ? 'Yes' : 'No'; document.getElementById('assumption7').querySelector('span').textContent = isSmoker === 'yes' ? 'Yes' : 'No'; // Update Table updateTable({ age: age, sex: gender, sbp: systolicBP, cholTotal: cholesterolTotal, hdl: cholesterolHDL, diabetic: isDiabetic, smoker: isSmoker, ageScore: ageScore, sexScore: sexScore, sbpScore: sbpScore, cholTotalScore: cholesterolTotalScore, hdlScore: cholesterolHDLScore, diabeticScore: diabetesScore, smokerScore: smokingScore }); // Update Chart updateChart({ ageScore: ageScore, sexScore: sexScore, sbpScore: sbpScore, cholesterolTotalScore: cholesterolTotalScore, cholesterolHDLScore: cholesterolHDLScore, diabetesScore: diabetesScore, smokingScore: smokingScore }); } function updateTable(data) { document.getElementById('tableAge').textContent = data.age === '–' ? '–' : data.age + ' years'; document.getElementById('tableSex').textContent = data.sex === '–' ? '–' : data.sex.charAt(0).toUpperCase() + data.sex.slice(1); document.getElementById('tableSBP').textContent = data.sbp === '–' ? '–' : data.sbp + ' mmHg'; document.getElementById('tableCholTotal').textContent = data.cholTotal === '–' ? '–' : data.cholTotal + ' mg/dL'; document.getElementById('tableHDL').textContent = data.hdl === '–' ? '–' : data.hdl + ' mg/dL'; document.getElementById('tableDiabetic').textContent = data.diabetic === '–' ? '–' : (data.diabetic === 'yes' ? 'Yes' : 'No'); document.getElementById('tableSmoker').textContent = data.smoker === '–' ? '–' : (data.smoker === 'yes' ? 'Yes' : 'No'); document.getElementById('tableAgeContribution').textContent = data.ageScore === '–' ? '–' : data.ageScore.toFixed(2); document.getElementById('tableSexContribution').textContent = data.sexScore === '–' ? '–' : data.sexScore.toFixed(2); document.getElementById('tableSBPContribution').textContent = data.sbpScore === '–' ? '–' : data.sbpScore.toFixed(2); document.getElementById('tableCholTotalContribution').textContent = data.cholTotalScore === '–' ? '–' : data.cholTotalScore.toFixed(2); document.getElementById('tableHDLContribution').textContent = data.hdlScore === '–' ? '–' : data.hdlScore.toFixed(2); document.getElementById('tableDiabeticContribution').textContent = data.diabeticScore === '–' ? '–' : data.diabeticScore.toFixed(2); document.getElementById('tableSmokerContribution').textContent = data.smokerScore === '–' ? '–' : data.smokerScore.toFixed(2); } function resetCalculator() { document.getElementById('age').value = 55; document.getElementById('gender').value = 'male'; document.getElementById('systolicBloodPressure').value = 130; document.getElementById('cholesterolTotal').value = 200; document.getElementById('cholesterolHDL').value = 50; document.getElementById('isDiabetic').value = 'no'; document.getElementById('isSmoker').value = 'no'; // Clear errors document.getElementById('ageError').style.display = 'none'; document.getElementById('genderError').style.display = 'none'; document.getElementById('systolicBloodPressureError').style.display = 'none'; document.getElementById('cholesterolTotalError').style.display = 'none'; document.getElementById('cholesterolHDLError').style.display = 'none'; document.getElementById('isDiabeticError').style.display = 'none'; document.getElementById('isSmokerError').style.display = 'none'; document.getElementById('primaryResult').textContent = '–'; document.getElementById('intermediate1').querySelector('span').textContent = '–'; document.getElementById('intermediate2').querySelector('span').textContent = '–'; document.getElementById('intermediate3').querySelector('span').textContent = '–'; document.getElementById('assumption1').querySelector('span').textContent = '–'; document.getElementById('assumption2').querySelector('span').textContent = '–'; document.getElementById('assumption3').querySelector('span').textContent = '–'; document.getElementById('assumption4').querySelector('span').textContent = '–'; document.getElementById('assumption5').querySelector('span').textContent = '–'; document.getElementById('assumption6').querySelector('span').textContent = '–'; document.getElementById('assumption7').querySelector('span').textContent = '–'; // Clear table updateTable({ age: '–', sex: '–', sbp: '–', cholTotal: '–', hdl: '–', diabetic: '–', smoker: '–', ageScore: '–', sexScore: '–', sbpScore: '–', cholTotalScore: '–', hdlScore: '–', diabeticScore: '–', smokerScore: '–'}); // Clear chart if (chart) { chart.destroy(); chart = null; // Reset chart variable var canvas = document.getElementById('riskChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas } } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var intermediate1 = document.getElementById('intermediate1').textContent; var intermediate2 = document.getElementById('intermediate2').textContent; var intermediate3 = document.getElementById('intermediate3').textContent; var assumptions = []; var assumptionElements = document.querySelectorAll('.key-assumptions div span'); assumptionElements.forEach(function(el) { assumptions.push(el.parentElement.textContent.trim()); }); var resultText = "— Heart Attack Risk Calculation Results —\n\n"; resultText += "Estimated 10-Year Risk: " + primaryResult + "\n"; resultText += intermediate1 + "\n"; resultText += intermediate2 + "\n"; resultText += intermediate3 + "\n\n"; resultText += "Key Assumptions:\n"; assumptions.forEach(function(assump) { resultText += "- " + assump + "\n"; }); // Use a temporary textarea to copy to clipboard var textArea = document.createElement("textarea"); textArea.value = resultText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.opacity = "0"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; console.log(msg); // Optionally, provide user feedback alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy' + err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation on page load for default values document.addEventListener('DOMContentLoaded', function() { calculateRisk(); });

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