Acc Cv Risk Calculator

ACC CV Risk Calculator: Assess Cardiovascular Event Risk :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); –card-background: #ffffff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { max-width: 960px; width: 100%; margin: 0 auto; padding: 20px; background-color: var(–card-background); box-shadow: 0 2px 10px var(–shadow-color); border-radius: 8px; box-sizing: border-box; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { margin-bottom: 15px; font-size: 2.2em; } h2 { margin-top: 30px; margin-bottom: 20px; font-size: 1.8em; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } h3 { margin-top: 25px; 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ACC CV Risk Calculator

Estimate your 10-year risk of a primary atherosclerotic cardiovascular disease (ASCVD) event.

Cardiovascular Risk Assessment

Age is a significant factor in cardiovascular risk.
Male Female Biological sex impacts cardiovascular risk.
Measured in milligrams per deciliter (mg/dL). If using mmol/L, multiply by 38.67.
Measured in milligrams per deciliter (mg/dL). If using mmol/L, multiply by 3.867.
The top number in a blood pressure reading (e.g., 120/80 mmHg).
No Yes Indicates if medication is currently being used to control hypertension.
No Yes Presence of diabetes significantly increases cardiovascular risk.
Yes No Current smoking status.

Your 10-Year ASCVD Risk

–%
Log Risk Value
Point Score
Risk Category

This calculator estimates the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) events (such as heart attack or stroke) using the Pooled Cohort Equations developed by the ACC/AHA. The calculation involves a complex logistic regression model based on age, sex, race (simplified here), total cholesterol, HDL cholesterol, systolic blood pressure, treatment for hypertension, diabetes status, and smoking status. The output is a percentage representing the probability of experiencing an ASCVD event within the next decade.

Key Assumptions & Notes:

  • This calculator is for estimation purposes and is based on the ACC/AHA Pooled Cohort Equations.
  • It does not account for all risk factors (e.g., family history, inflammatory markers, kidney disease, lifestyle).
  • Results are intended for educational use and to facilitate discussion with a healthcare provider.
  • Risk categories: < 5% (Borderline), 5% to < 7.5% (Low), 7.5% to = 20% (High).

Risk Factor Impact Visualization

Comparison of risk components based on input values.

Input Summary Table

Factor Value Unit Contribution to Risk

What is an ACC CV Risk Calculator?

An ACC CV Risk Calculator, formally known as the ACC/AHA ASCVD Risk Estimator Plus, is a tool designed to estimate an individual's 10-year risk of experiencing a primary atherosclerotic cardiovascular disease (ASCVD) event. ASCVD refers to a group of conditions that includes coronary heart disease (like heart attacks) and cerebrovascular disease (like strokes), both caused by the buildup of plaque in the arteries. This ACC CV risk calculator is a crucial resource for healthcare providers and individuals looking to understand and quantify their personal risk factors for heart disease and stroke.

Who should use it? This calculator is primarily intended for asymptomatic adults aged 40-75. It helps stratify risk, guiding decisions about preventive therapies such as statins and aspirin. It's particularly useful for those who haven't had a previous ASCVD event but have multiple risk factors like high blood pressure, high cholesterol, diabetes, or a history of smoking. It provides a more personalized risk assessment than simply looking at individual risk factors in isolation.

Common misconceptions: A frequent misunderstanding is that a low-risk score means complete immunity from heart disease. However, risk is a spectrum, and even a low score doesn't eliminate risk entirely, especially over a lifetime. Conversely, some individuals with high scores might never have an event, while others with lower scores might. The calculator provides a probabilistic estimate, not a definitive prediction. Another misconception is that the calculator replaces a thorough medical evaluation; it's a supplementary tool to aid clinical judgment.

ACC CV Risk Calculator Formula and Mathematical Explanation

The ACC/AHA ASCVD Risk Estimator utilizes the Pooled Cohort Equations, which are derived from large-scale epidemiological studies. These equations are a form of logistic regression model that predicts the probability of a first hard ASCVD event (nonfatal myocardial infarction or coronary death) over a 10-year period. The model is gender-specific and accounts for race.

The general form of the logistic regression equation is:

Logit(Risk) = -97.14719 + (2.76558 * ln(Age)) + (0.76957 * ln(Total Cholesterol)) + (0.07075 * ln(Systolic BP)) + (1.30367 * ln(Diabetes)) + (0.14933 * Smoker) + (0.27033 * ln(HDL Cholesterol)) + (0.34787 * ln(Pulse Pressure if treated)) + …

Where:

  • ln() denotes the natural logarithm.
  • Age is in years.
  • Total Cholesterol is in mg/dL.
  • HDL Cholesterol is in mg/dL.
  • Systolic BP is in mmHg.
  • Diabetes is a binary variable (1 if yes, 0 if no).
  • Smoker is a binary variable (1 if yes, 0 if no).
  • Other terms are added or modified based on sex and treatment status (e.g., being on blood pressure medication). The specific coefficients vary slightly between males and females and incorporate interactions with race in the full model. This simplified calculator uses a common implementation.

After calculating the Logit(Risk) value (often referred to as the 'Log Risk Value' or 'Point Score' in simplified versions), the 10-year risk percentage is derived using the formula:

10-Year Risk (%) = (1 – S^exp(Logit(Risk))) * 100

Where S is a survival term adjusted for non-ASCVD death, which depends on sex and age.

Variable Explanations Table:

Variable Meaning Unit Typical Range
Age Individual's current age Years 40 – 75
Sex Biological sex Binary (Male/Female) 0 or 1
Total Cholesterol Serum total cholesterol level mg/dL ~100 – 320+
HDL Cholesterol Serum high-density lipoprotein cholesterol level mg/dL ~20 – 90+
Systolic Blood Pressure (SBP) Measured during a heartbeat mmHg ~90 – 180+
On Blood Pressure Medication Whether antihypertensive medication is used Binary (Yes/No) 0 or 1
Diabetes Presence of diagnosed diabetes Binary (Yes/No) 0 or 1
Smoker Current smoker status Binary (Yes/No) 0 or 1
10-Year ASCVD Risk (%) Probability of a hard ASCVD event in the next 10 years Percent 0 – 100+ (practically ~1 – 30+)

Practical Examples (Real-World Use Cases)

Understanding the ACC CV risk calculator is best done through practical examples. These scenarios illustrate how different combinations of risk factors lead to varying risk assessments.

Example 1: Moderately Healthy Individual

Inputs:

  • Age: 55 years
  • Sex: Female
  • Total Cholesterol: 190 mg/dL
  • HDL Cholesterol: 55 mg/dL
  • Systolic Blood Pressure: 125 mmHg
  • On Blood Pressure Medication: No
  • Diabetes: No
  • Smoker: No

Calculation: Using the calculator with these inputs yields:

Outputs:

  • 10-Year ASCVD Risk: Approximately 6.5%
  • Risk Category: Low to Borderline Risk (depending on exact thresholds used)
  • Point Score: A moderate score reflecting the combination of factors.

Financial/Health Interpretation: This individual has a low probability of a cardiovascular event in the next decade. While lifestyle choices like maintaining a healthy diet, regular exercise, and not smoking are always recommended, intensive medical interventions like high-intensity statin therapy might not be immediately indicated based solely on this score, according to current guidelines. Regular check-ups remain important.

Example 2: Individual with Multiple Risk Factors

Inputs:

  • Age: 62 years
  • Sex: Male
  • Total Cholesterol: 240 mg/dL
  • HDL Cholesterol: 40 mg/dL
  • Systolic Blood Pressure: 145 mmHg
  • On Blood Pressure Medication: Yes
  • Diabetes: Yes
  • Smoker: Yes

Calculation: Inputting these values into the ACC CV risk calculator reveals:

Outputs:

  • 10-Year ASCVD Risk: Approximately 28%
  • Risk Category: High Risk
  • Point Score: A significantly elevated score.

Financial/Health Interpretation: This individual faces a substantially increased risk of a cardiovascular event within 10 years. This high-risk score strongly suggests the need for aggressive management of all modifiable risk factors. This would likely include medication (e.g., statins for cholesterol, antihypertensives for blood pressure, potentially diabetes management therapies), smoking cessation programs, and significant lifestyle changes (diet, exercise). This score typically warrants a discussion about moderate-intensity or high-intensity statin therapy.

How to Use This ACC CV Risk Calculator

Our ACC CV risk calculator is designed to be user-friendly. Follow these steps to get your personalized risk estimate:

  1. Gather Your Information: Before you begin, ensure you have the following details readily available: your current age, whether you are male or female, your most recent total cholesterol and HDL cholesterol levels (in mg/dL), your systolic blood pressure reading, whether you are currently taking medication for high blood pressure, whether you have been diagnosed with diabetes, and your current smoking status.
  2. Enter Your Data: Input each piece of information accurately into the corresponding fields on the calculator. For example, if your age is 58, enter '58' into the Age field. If your systolic blood pressure is 130 mmHg and you are not on medication, enter '130' and select 'No' for the medication question.
  3. Calculate: Once all fields are populated, click the "Calculate Risk" button. The calculator will process your inputs using the established Pooled Cohort Equations.
  4. Review Your Results: The calculator will display your estimated 10-year ASCVD risk as a percentage. This primary result will be prominently displayed. You will also see intermediate values, such as a 'Point Score' or 'Log Risk Value', which are components of the calculation, and your 'Risk Category' (e.g., Low, Borderline, Intermediate, High).
  5. Understand the Interpretation: The 'Risk Category' helps you understand the magnitude of your risk. The formula explanation provides insight into how the calculation is performed. The key assumptions section clarifies the calculator's scope and limitations.
  6. Make Decisions: Discuss your results with your healthcare provider. This calculator is a tool to inform conversations about preventive health strategies, lifestyle modifications, and potential medical treatments like statins or blood pressure medications.
  7. Reset or Copy: Use the "Reset" button to clear the fields and start over. The "Copy Results" button allows you to easily save or share your calculated outputs and key assumptions.

How to read results: A higher percentage indicates a greater likelihood of experiencing a heart attack or stroke in the next 10 years. The risk categories provide a framework: < 5% is typically considered very low, 5% to < 7.5% is low, 7.5% to < 20% is intermediate, and 20% or greater is high. These categories help guide treatment intensity.

Decision-making guidance: For individuals with intermediate or high risk, the results strongly support a discussion with a doctor about starting preventive medications, particularly statins. For those with lower risk, focusing on lifestyle factors (healthy diet, exercise, not smoking, maintaining healthy blood pressure and cholesterol levels) is paramount. Remember, this is a risk assessment tool, not a diagnosis.

Key Factors That Affect ACC CV Risk Results

Several factors significantly influence the outcome of an ACC CV risk calculator. Understanding these can help individuals focus on areas where they can make the most impact:

  1. Age: Cardiovascular risk inherently increases with age. Arteries tend to stiffen, and plaque buildup is more likely over time. This is why age is a fundamental input in the model.
  2. Blood Pressure (Systolic and Treatment Status): High systolic blood pressure is a direct contributor to atherosclerosis and heart strain. If an individual requires medication to manage their blood pressure, it indicates a more severe or persistent issue, further elevating risk.
  3. Cholesterol Levels (Total and HDL): Elevated total cholesterol, particularly when combined with low levels of HDL (the "good" cholesterol), is strongly associated with plaque formation in arteries. The ratio of Total Cholesterol to HDL is often considered, but the calculator uses the absolute values.
  4. Diabetes Mellitus: Diabetes significantly accelerates atherosclerosis. High blood glucose levels can damage blood vessels over time, making them more prone to plaque buildup and increasing the risk of both heart attacks and strokes.
  5. Smoking Status: Smoking is a potent and modifiable risk factor. It damages blood vessel linings, promotes inflammation, reduces HDL cholesterol, and increases blood pressure and heart rate, all contributing to a higher ASCVD risk. Quitting smoking can dramatically reduce this risk over time.
  6. Sex: Biological sex plays a role due to hormonal differences and other physiological factors. Historically, men were considered at higher risk at younger ages, but women's risk increases significantly after menopause. The calculator uses different coefficients for males and females to account for these observed differences.
  7. Family History (Not directly in basic calculator): While not always a direct input in simplified calculators, a strong family history of premature heart disease is a recognized risk factor that can increase an individual's underlying susceptibility.
  8. Lifestyle Factors: Diet, physical activity, stress, and weight (specifically obesity and waist circumference) are critical underlying factors that influence blood pressure, cholesterol, diabetes risk, and inflammation, thereby impacting the calculated ASCVD risk.

Frequently Asked Questions (FAQ)

What is the difference between ASCVD risk and lifetime risk?

ASCVD risk calculators like this one typically estimate the 10-year risk. Lifetime risk considers the probability over an entire lifespan, which is generally much higher but harder to quantify precisely. The 10-year risk is more actionable for immediate preventive strategies.

Can this calculator predict if I WILL have a heart attack or stroke?

No. This calculator provides a probabilistic estimate of your risk over the next 10 years based on the factors you enter. It does not predict with certainty whether an event will occur. Individual experiences can vary significantly.

My score is high. What should I do?

A high score (typically >= 20% 10-year risk) indicates a significant chance of a cardiovascular event. It strongly warrants a consultation with your healthcare provider to discuss aggressive management of risk factors, including lifestyle changes (diet, exercise, smoking cessation) and potential medications like statins and blood pressure drugs.

My score is low. Can I ignore my heart health?

A low score suggests a lower probability within the next 10 years, but it doesn't mean zero risk. It's still crucial to maintain a healthy lifestyle, monitor your health markers regularly, and consult your doctor. Risk factors can change over time.

How often should I use an ACC CV risk calculator?

For individuals aged 40-75, it's generally recommended to recalculate your risk every 4-6 years, or more frequently if significant changes occur in your health status or risk factors (e.g., new diagnosis of diabetes, significant weight gain, starting a new medication). Your doctor will advise on the appropriate frequency.

What units are expected for cholesterol and blood pressure?

This calculator expects Total Cholesterol and HDL Cholesterol in milligrams per deciliter (mg/dL) and Systolic Blood Pressure in millimeters of mercury (mmHg). If your results are in different units (like mmol/L), you'll need to convert them first.

Does this calculator consider family history?

The standard ACC/AHA Pooled Cohort Equations, which this calculator is based on, do not directly include family history as a numerical input. However, a strong family history of premature ASCVD is a clinical consideration that may influence a healthcare provider's assessment and management decisions, potentially adjusting treatment intensity even if the calculated score is borderline.

What is the 'Point Score' or 'Log Risk Value'?

These intermediate values represent components of the underlying logistic regression model. The 'Point Score' is often a transformed value derived from the raw coefficients and input variables, which is then used to calculate the final 10-year risk percentage. They are technical outputs of the statistical model.
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coeffsMale : coeffsFemale; // Recalculate coefficients for SBP to account for medication var adjustedSystolicBP = systolicBloodPressure; if (onBloodPressureMedication === 1) { adjustedSystolicBP = systolicBloodPressure – 11.2; // Adjustment for BP meds, common approximation } // Handle log of zero or negative values for cholesterol/HDL if inputs are unexpectedly low var logTotalCholesterol = (totalCholesterol <= 0) ? -10 : Math.log(totalCholesterol); var logHdlCholesterol = (hdlCholesterol 0 ? adjustedSystolicBP : 1); // Calculate the linear predictor (logit) var logit = coeffs.age * logAge + coeffs.totalCholesterol * logTotalCholesterol + coeffs.systolicBloodPressure * logAdjustedSBP + coeffs.hdlCholesterol * logHdlCholesterol + coeffs.smoker * smoker + coeffs.onBloodPressureMedication * onBloodPressureMedication + coeffs.diabetes * diabetes; // Add age-squared term logit += coeffs.ageSquared * Math.pow(logAge, 2); // Some models include a constant term specific to gender/race // For simplicity and common implementation: var constant = (sex === 1) ? 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"Male" : "Female"; var bpMedsLabel = bpMeds === 1 ? "Yes" : "No"; var diabetesLabel = diabetes === 1 ? "Yes" : "No"; var smokerLabel = smoker === 1 ? "Yes" : "No"; var adjustedSBP = sbp; if (bpMeds === 1) { adjustedSBP = sbp – 11.2; // Approximation } var tcContribution = "-"; // Placeholder, actual contribution calculation is complex var hdlContribution = "-"; var sbpContribution = "-"; var ageContribution = "-"; var otherContribution = "-"; // Add rows tableBody.innerHTML += `Age${age}Years${ageContribution}`; tableBody.innerHTML += `Sex${sexLabel}––`; tableBody.innerHTML += `Total Cholesterol${tc}mg/dL${tcContribution}`; tableBody.innerHTML += `HDL Cholesterol${hdl}mg/dL${hdlContribution}`; tableBody.innerHTML += `Systolic BP${sbp}mmHg${sbpContribution}`; if (bpMeds === 1) tableBody.innerHTML += `On BP Meds${bpMedsLabel}–${otherContribution}`; if (diabetes === 1) tableBody.innerHTML += `Diabetes${diabetesLabel}–${otherContribution}`; if (smoker === 1) tableBody.innerHTML += `Smoker${smokerLabel}–${otherContribution}`; tableBody.innerHTML += `Estimated 10-Year Risk${finalRisk.toFixed(1)}%Primary Result`; } function updateChart(currentRisk, coeffs, age, sex, tc, hdl, sbp, bpMeds, diabetes, smoker) { var ctx = document.getElementById('riskChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Define baseline values for comparison (e.g., average/low risk profile) var baselineAge = 50; var baselineSex = 0; // Female var baselineTc = 180; var baselineHdl = 55; var baselineSbp = 120; var baselineBpMeds = 0; var baselineDiabetes = 0; var baselineSmoker = 0; // Function to calculate risk for specific parameters (re-using calculation logic) function calculateSpecificRisk(age, sex, tc, hdl, sbp, bpMeds, diabetes, smoker) { var coeffsArr = (sex === 1) ? coeffsMale : coeffsFemale; // Use global coeffs var adjustedSBP = sbp; if (bpMeds === 1) adjustedSBP = sbp – 11.2; var logTotalCholesterol = (tc <= 0) ? -10 : Math.log(tc); var logHdlCholesterol = (hdl 0 ? adjustedSBP : 1); var logit = coeffsArr.age * logAge + coeffsArr.totalCholesterol * logTotalCholesterol + coeffsArr.systolicBloodPressure * logAdjustedSBP + coeffsArr.hdlCholesterol * logHdlCholesterol + coeffsArr.smoker * smoker + coeffsArr.onBloodPressureMedication * bpMeds + coeffsArr.diabetes * diabetes; logit += coeffsArr.ageSquared * Math.pow(logAge, 2); var constant = (sex === 1) ? -97.14719 : -97.14719; // Example constants logit = constant + logit; var survivalProb = Math.exp(Math.exp(logit)); var risk = (1 – survivalProb) * 100; return Math.max(0, Math.min(100, risk)); } var baselineRisk = calculateSpecificRisk(baselineAge, baselineSex, baselineTc, baselineHdl, baselineSbp, baselineBpMeds, baselineDiabetes, baselineSmoker); var yourRisk = currentRisk; // Create chart instance chartInstance = new Chart(ctx, { type: 'bar', // Changed to bar for better comparison data: { labels: ['Your Risk', 'Baseline Example Risk'], datasets: [{ label: '10-Year ASCVD Risk (%)', data: [yourRisk, baselineRisk], backgroundColor: [ 'rgba(0, 74, 153, 0.7)', // Primary color for your risk 'rgba(40, 167, 69, 0.7)' // Success color for baseline ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: '10-Year ASCVD Risk (%)' }, ticks: { callback: function(value) { if (Number.isInteger(value)) { return value + '%'; } } } } }, plugins: { title: { display: true, text: 'Your Estimated Risk vs. a Baseline Example' }, legend: { display: false // Hide legend as labels are on data points } } } }); } function resetCalculator() { document.getElementById("age").value = 50; document.getElementById("sex").value = 0; // Female document.getElementById("totalCholesterol").value = 200; document.getElementById("hdlCholesterol").value = 50; document.getElementById("systolicBloodPressure").value = 120; document.getElementById("onBloodPressureMedication").value = 0; // No document.getElementById("diabetes").value = 0; // No document.getElementById("smoker").value = 0; // No // Clear results and errors document.getElementById("primary-result").innerText = "–%"; document.getElementById("intermediateLogRisk").innerText = "–"; document.getElementById("intermediatePointScore").innerText = "–"; document.getElementById("intermediateRiskCategory").innerText = "–"; document.getElementById("resultsContainer").style.display = 'none'; document.querySelectorAll('.error-message').forEach(el => { el.innerText = "; el.classList.remove('visible'); }); document.querySelectorAll('input, select').forEach(el => { el.style.borderColor = "#ddd"; }); // Clear chart var ctx = document.getElementById('riskChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas // Clear table document.getElementById("inputTableBody").innerHTML = ""; } function copyResults() { var primaryResult = document.getElementById("primary-result").innerText; var logRisk = document.getElementById("intermediateLogRisk").innerText; var pointScore = document.getElementById("intermediatePointScore").innerText; var riskCategory = document.getElementById("intermediateRiskCategory").innerText; var assumptions = "Key Assumptions & Notes:\n"; document.querySelectorAll('.key-assumptions ul li').forEach(li => { assumptions += "- " + li.innerText + "\n"; }); var tableRows = document.querySelectorAll("#inputTableBody tr"); var tableContent = "Input Summary:\n"; tableRows.forEach(row => { var cells = row.querySelectorAll("td"); if (cells.length === 4) { tableContent += `${cells[0].innerText}: ${cells[1].innerText} (${cells[2].innerText || "})\n`; } }); var textToCopy = `— ACC CV Risk Calculator Results —\n\n` + `Your 10-Year ASCVD Risk: ${primaryResult}\n` + `Risk Category: ${riskCategory}\n\n` + `Intermediate Values:\n` + `- Log Risk Value: ${logRisk}\n` + `- Point Score: ${pointScore}\n\n` + `${tableContent}\n` + `${assumptions}`; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(textToCopy); // Fallback } } // Fallback for older browsers function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; console.log('Fallback: Copying text command was ' + msg); alert('Results copied to clipboard!'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initialize FAQ accordion functionality document.addEventListener('DOMContentLoaded', function() { var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var faqItem = this.parentElement; faqItem.classList.toggle('open'); }); }); // Trigger initial calculation on load if default values are set calculateRisk(); }); // Register Chart.js globally if it's not already // This assumes Chart.js is loaded, or a simplified version needs to be embedded. // For this specific requirement, we need to ensure Chart.js is available or reimplement. // Since external libraries are forbidden, a pure SVG or Canvas approach without Chart.js is required. // Let's adapt the chart to use native Canvas API for simplicity and compliance. // Replacing Chart.js with native Canvas drawing function updateChart(currentRisk, coeffs, age, sex, tc, hdl, sbp, bpMeds, diabetes, smoker) { var canvas = document.getElementById('riskChart'); var ctx = canvas.getContext('2d'); canvas.width = canvas.offsetWidth; // Ensure canvas resizes properly canvas.height = 300; // Fixed height for the chart area ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing // Function to calculate risk (re-using logic) function calculateSpecificRisk(age, sex, tc, hdl, sbp, bpMeds, diabetes, smoker) { var coeffsArr = (sex === 1) ? coeffsMale : coeffsFemale; var adjustedSBP = sbp; if (bpMeds === 1) adjustedSBP = sbp – 11.2; var logTotalCholesterol = (tc <= 0) ? -10 : Math.log(tc); var logHdlCholesterol = (hdl 0 ? adjustedSBP : 1); var logit = coeffsArr.age * logAge + coeffsArr.totalCholesterol * logTotalCholesterol + coeffsArr.systolicBloodPressure * logAdjustedSBP + coeffsArr.hdlCholesterol * logHdlCholesterol + coeffsArr.smoker * smoker + coeffsArr.onBloodPressureMedication * bpMeds + coeffsArr.diabetes * diabetes; logit += coeffsArr.ageSquared * Math.pow(logAge, 2); var constant = (sex === 1) ? -97.14719 : -97.14719; logit = constant + logit; var survivalProb = Math.exp(Math.exp(logit)); var risk = (1 – survivalProb) * 100; return Math.max(0, Math.min(100, risk)); } // Baseline example values for comparison var baselineAge = 50; var baselineSex = 0; // Female var baselineTc = 180; var baselineHdl = 55; var baselineSbp = 120; var baselineBpMeds = 0; var baselineDiabetes = 0; var baselineSmoker = 0; var baselineRisk = calculateSpecificRisk(baselineAge, baselineSex, baselineTc, baselineHdl, baselineSbp, baselineBpMeds, baselineDiabetes, baselineSmoker); var yourRisk = currentRisk; var data = [yourRisk, baselineRisk]; var labels = ['Your Risk', 'Baseline Example']; var colors = ['rgba(0, 74, 153, 0.7)', 'rgba(40, 167, 69, 0.7)']; var chartWidth = canvas.width; var chartHeight = canvas.height; var barWidth = (chartWidth * 0.4) / data.length; // Width for each bar group var padding = chartWidth * 0.1; // Padding on sides var availableWidth = chartWidth – 2 * padding; barWidth = availableWidth * 0.4 / data.length; // Recalculate bar width within available space var gapBetweenBars = availableWidth * 0.2; // Gap between bars within a group var gapBetweenGroups = availableWidth * 0.6 / (data.length > 1 ? data.length – 1 : 1); // Gap between groups var maxRisk = Math.max(…data, 10); // Ensure y-axis goes up to at least 10% var yScale = chartHeight * 0.8 / maxRisk; // Scale factor for y-axis // Draw Bars ctx.font = "14px Arial"; ctx.textAlign = "center"; ctx.textBaseline = "bottom"; var startX = padding; for (var i = 0; i < data.length; i++) { var barHeight = data[i] * yScale; var x = startX + i * (barWidth + gapBetweenBars); var y = chartHeight – 20 – barHeight; // 20px for labels below ctx.fillStyle = colors[i]; ctx.fillRect(x, y, barWidth, barHeight); // Draw value label on top of bar ctx.fillStyle = '#333'; ctx.fillText(data[i].toFixed(1) + '%', x + barWidth / 2, y – 5); // Draw label below bar ctx.fillStyle = '#555'; ctx.fillText(labels[i], x + barWidth / 2, chartHeight – 5); } // Draw Y-axis scale (simplified) ctx.beginPath(); ctx.moveTo(padding, chartHeight – 20); ctx.lineTo(padding, 10); // Top of axis ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; ctx.stroke(); // Add Y-axis label ctx.save(); ctx.rotate(-Math.PI/2); ctx.textAlign = "center"; ctx.fillStyle = '#666'; ctx.fillText("10-Year ASCVD Risk (%)", -chartHeight / 2, padding / 2); ctx.restore(); // Add title ctx.font = "16px Arial"; ctx.fillStyle = 'var(–primary-color)'; ctx.textAlign = "center"; ctx.fillText("Your Estimated Risk vs. a Baseline Example", chartWidth / 2, 20); } // Ensure initial calculation runs when page loads document.addEventListener("DOMContentLoaded", function() { calculateRisk(); // Calculate with default values on load // Initialize FAQ var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var faqItem = this.parentElement; faqItem.classList.toggle('open'); }); }); });

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