Aha Ascvd Risk Calculator

AHA ASCVD Risk Calculator: Estimate Your Cardiovascular Disease Risk :root { –primary-color: #004a99; –background-color: #f8f9fa; –card-background: #ffffff; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); margin: 0; padding: 0; line-height: 1.6; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 2px 10px var(–shadow-color); } h1, h2, h3 { color: var(–primary-color); margin-bottom: 15px; } h1 { text-align: center; font-size: 2.2em; margin-bottom: 30px; } .calculator-section { margin-bottom: 40px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: 0 1px 5px var(–shadow-color); } .calculator-section h2 { margin-top: 0; text-align: center; font-size: 1.8em; } .input-group { margin-bottom: 20px; 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AHA ASCVD Risk Calculator

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

ASCVD Risk Estimator Inputs

Enter your current age in whole years.
Male Female
White African American
Note: This calculator is validated for White and African American individuals.
Measured in milligrams per deciliter (mg/dL).
Measured in milligrams per deciliter (mg/dL).
The top number in your blood pressure reading.
Yes No
No Yes
Yes No

Your Estimated ASCVD Risk

–%
This calculator uses the Pooled Cohort Equations developed by the American Heart Association (AHA) and American College of Cardiology (ACC) to estimate the 10-year risk of ASCVD. The model considers age, sex, race, total cholesterol, HDL cholesterol, systolic blood pressure, blood pressure treatment status, diabetes status, and smoking status.

Risk Factor Comparison

Risk Factor Your Input General Population (Example)
Age 55
Sex Male
Race White
Total Cholesterol (mg/dL) 200
HDL Cholesterol (mg/dL) 50
Systolic BP (mmHg) 120
On BP Meds? No
Diabetes? No
Smoker? No
Comparison of your inputs against a reference profile.

10-Year ASCVD Risk Distribution

Visual representation of risk categories.

Understanding the AHA ASCVD Risk Calculator

What is the AHA ASCVD Risk Calculator?

The AHA ASCVD Risk Calculator, also known as the Pooled Cohort Equations, is a vital tool developed by the American Heart Association (AHA) and the American College of Cardiology (ACC). Its primary purpose is to estimate an individual's 10-year risk of experiencing a first hard atherosclerotic cardiovascular disease (ASCVD) event. Hard ASCVD events include coronary heart disease (CHD) death, non-fatal myocardial infarction (heart attack), and fatal or non-fatal stroke. This calculator is designed for asymptomatic adults aged 40-75 years who are not currently being treated for cardiovascular disease. By inputting specific personal health metrics, individuals and their healthcare providers can gain a quantitative understanding of their future cardiovascular risk, which is crucial for making informed decisions about preventive strategies and lifestyle modifications. Understanding your AHA ASCVD Risk Calculator score empowers proactive health management.

ASCVD Risk Formula and Mathematical Explanation

The AHA ASCVD Risk Calculator is based on the Pooled Cohort Equations, which are derived from large-scale epidemiological studies. These equations use a weighted combination of several key risk factors to predict the 10-year probability of an ASCVD event. The specific formula is complex and varies slightly for men and women, and between racial groups (White and African American). It involves calculating a "risk score" based on the inputs, which is then converted into a percentage representing the 10-year risk.

The core components of the calculation involve:

  • Age: Older age is associated with higher risk.
  • Sex: Historically, men have had a higher risk than pre-menopausal women.
  • Race: Differences in risk exist between racial groups.
  • Total Cholesterol: Higher levels increase risk.
  • HDL Cholesterol: Lower levels increase risk ("good" cholesterol).
  • Systolic Blood Pressure: Higher levels increase risk.
  • Blood Pressure Treatment: Being on medication indicates higher underlying risk.
  • Diabetes Status: Diabetes significantly increases cardiovascular risk.
  • Smoking Status: Current smoking is a major risk factor.

The mathematical model uses coefficients specific to each demographic group to weigh the contribution of each factor. For instance, the equation for men might look conceptually like this (simplified):

Logit(Risk) = β₀ + β₁(ln(Age)) + β₂(ln(Total Cholesterol)) + β₃(ln(Systolic BP)) + β₄(On BP Meds) + β₅(Diabetes) + β₆(Smoker) + β₇(HDL Cholesterol) + …

Where β values are coefficients derived from the cohort data. The resulting "risk score" is then transformed using the exponential function and subtracted from 1 to get the 10-year risk percentage. This sophisticated ASCVD risk formula provides a personalized risk assessment.

Practical Examples (Real-World Use Cases)

The AHA ASCVD Risk Calculator is invaluable in clinical practice and personal health management. Here are a few scenarios:

Scenario 1: A 55-year-old White male with Total Cholesterol 220 mg/dL, HDL 45 mg/dL, Systolic BP 130 mmHg, not on BP medication, no diabetes, and a non-smoker. His calculated 10-year risk might be around 7-10%. This suggests a moderate risk, prompting discussions about lifestyle changes (diet, exercise) and potentially low-dose statin therapy.

Scenario 2: A 60-year-old African American female with Total Cholesterol 250 mg/dL, HDL 55 mg/dL, Systolic BP 145 mmHg, on BP medication, has diabetes, and is a former smoker. Her calculated 10-year risk could be significantly higher, perhaps 25-30% or more. This high risk would strongly indicate the need for aggressive management, including medication (statins, antihypertensives), strict diabetes control, and continued avoidance of smoking.

Scenario 3: A 45-year-old White male with Total Cholesterol 180 mg/dL, HDL 60 mg/dL, Systolic BP 115 mmHg, not on BP medication, no diabetes, and a non-smoker. His 10-year risk might be very low, perhaps 1-2%. This low risk profile reinforces the importance of maintaining healthy habits and regular check-ups, but may not necessitate immediate intensive medical interventions beyond lifestyle advice.

These practical examples highlight how the calculator informs risk stratification and treatment decisions.

How to Use This AHA ASCVD Risk Calculator

Using this calculator is straightforward and designed for ease of use. Follow these steps:

  1. Gather Your Information: Before you begin, have the following health metrics readily available:
    • Your current age in years.
    • Your sex (Male/Female).
    • Your race (White/African American).
    • Your most recent Total Cholesterol level (mg/dL).
    • Your most recent HDL Cholesterol level (mg/dL).
    • Your most recent Systolic Blood Pressure reading (mmHg).
    • Whether you are currently taking medication for high blood pressure (Yes/No).
    • Whether you have been diagnosed with diabetes (Yes/No).
    • Whether you currently smoke (Yes/No).
  2. Enter Your Data: Input each piece of information into the corresponding field in the calculator. Ensure you enter accurate values. For blood pressure and cholesterol, use your most recent measurements.
  3. Calculate Risk: Once all fields are populated, click the "Calculate Risk" button.
  4. Review Results: The calculator will display your estimated 10-year ASCVD risk as a percentage. It will also show intermediate values and provide a brief explanation of the formula used.
  5. Compare and Understand: Examine the "Risk Factor Comparison" table to see how your inputs stack up against a reference profile. The chart provides a visual context for risk categories.
  6. Reset or Copy: Use the "Reset" button to clear the fields and start over. The "Copy Results" button allows you to save or share your calculated risk and key inputs.

Remember, this tool provides an estimate and should be discussed with your healthcare provider. Proper use of this AHA ASCVD Risk Calculator is key to understanding your cardiovascular health.

Key Factors That Affect ASCVD Results

Several factors significantly influence your calculated 10-year ASCVD risk. Understanding these can help you identify areas for potential improvement:

  • Age: This is one of the strongest predictors. Risk naturally increases as you get older.
  • Cholesterol Levels: Both high total cholesterol and low HDL cholesterol are major contributors to increased risk. Managing these through diet, exercise, and medication is crucial.
  • Blood Pressure: High systolic blood pressure is a significant risk factor. If you are on medication for hypertension, it indicates a higher baseline risk compared to someone with similar blood pressure who is not treated.
  • Diabetes: A diagnosis of diabetes dramatically increases ASCVD risk due to its damaging effects on blood vessels.
  • Smoking: Current smoking is a potent risk factor that significantly elevates the likelihood of cardiovascular events. Quitting smoking can substantially lower your risk over time.
  • Sex and Race: While these are demographic factors used in the equation, they reflect population-level differences in risk observed in the studies. They are not modifiable but are important for the accuracy of the pooled equations.

Modifying lifestyle factors like diet, physical activity, smoking cessation, and managing chronic conditions like hypertension and diabetes are the most effective ways to lower your ASCVD risk.

Frequently Asked Questions (FAQ)

  • What is the difference between ASCVD and heart disease? ASCVD is a specific type of heart disease caused by the buildup of plaque (atherosclerosis) in the arteries. It encompasses conditions like coronary artery disease (leading to heart attacks) and cerebrovascular disease (leading to strokes). "Heart disease" is a broader term that can include other conditions affecting the heart.
  • Is the risk score the same for everyone? No, the risk score is personalized based on the specific inputs for age, sex, race, cholesterol levels, blood pressure, diabetes status, and smoking status.
  • What does a "high" risk score mean? A high 10-year ASCVD risk score (often considered 7.5% or higher, though thresholds can vary) suggests a greater likelihood of experiencing a heart attack or stroke within the next decade. It typically prompts a discussion with a healthcare provider about preventive treatments, such as statins.
  • Can I use this calculator if I have already had a heart attack or stroke? No, this calculator is intended for individuals who have not yet had a hard ASCVD event. If you have a history of ASCVD, your risk is considered very high, and management strategies will differ.
  • Should I use mg/dL or mmol/L for cholesterol values? This calculator requires cholesterol values in milligrams per deciliter (mg/dL). If your results are in mmol/L, you will need to convert them. (To convert mmol/L to mg/dL: multiply by 38.67 for Total Cholesterol, and by 38.67 for HDL Cholesterol).
  • How often should I recalculate my risk? Your risk should be reassessed periodically, typically every 4-6 years, or more frequently if significant changes occur in your health status, lifestyle, or if you reach a new age milestone (e.g., turning 50, 60).

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.

var ageInput = document.getElementById('age'); var sexInput = document.getElementById('sex'); var raceInput = document.getElementById('race'); var cholesterolInput = document.getElementById('cholesterol'); var hdlInput = document.getElementById('hdl'); var systolicBpInput = document.getElementById('systolicBp'); var bpTreatmentInput = document.getElementById('bpTreatment'); var diabetesInput = document.getElementById('diabetes'); var smokerInput = document.getElementById('smoker'); var ageError = document.getElementById('ageError'); var sexError = document.getElementById('sexError'); var raceError = document.getElementById('raceError'); var cholesterolError = document.getElementById('cholesterolError'); var hdlError = document.getElementById('hdlError'); var systolicBpError = document.getElementById('systolicBpError'); var bpTreatmentError = document.getElementById('bpTreatmentError'); var diabetesError = document.getElementById('diabetesError'); var smokerError = document.getElementById('smokerError'); var resultsContainer = document.getElementById('results-container'); var primaryResult = document.getElementById('primaryResult'); var intermediate1 = document.getElementById('intermediate1'); var intermediate2 = document.getElementById('intermediate2'); var intermediate3 = document.getElementById('intermediate3'); var tableAge = document.getElementById('tableAge'); var tableSex = document.getElementById('tableSex'); var tableRace = document.getElementById('tableRace'); var tableCholesterol = document.getElementById('tableCholesterol'); var tableHdl = document.getElementById('tableHdl'); var tableSystolicBp = document.getElementById('tableSystolicBp'); var tableBpTreatment = document.getElementById('tableBpTreatment'); var tableDiabetes = document.getElementById('tableDiabetes'); var tableSmoker = document.getElementById('tableSmoker'); var riskChartCanvas = document.getElementById('riskChart'); var riskChartInstance = null; function validateInput(inputElement, errorElement, minValue, maxValue, isRequired = true) { var value = inputElement.value.trim(); if (isRequired && value === ") { errorElement.textContent = 'This field is required.'; return false; } if (value !== ") { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (minValue !== undefined && numValue maxValue) { errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.'; return false; } } errorElement.textContent = "; return true; } function getSelectValue(selectElement) { return selectElement.value; } function calculateRisk() { clearErrors(); var isValid = true; // Validate inputs if (!validateInput(ageInput, ageError, 40, 75)) isValid = false; if (!validateInput(cholesterolInput, cholesterolError, 0)) isValid = false; if (!validateInput(hdlInput, hdlError, 0)) isValid = false; if (!validateInput(systolicBpInput, systolicBpError, 0)) isValid = false; if (!isValid) { resultsContainer.style.display = 'none'; return; } var age = parseFloat(ageInput.value); var sex = parseInt(sexInput.value); // 1 for Male, 0 for Female var race = parseInt(raceInput.value); // 1 for White, 0 for African American var totalChol = parseFloat(cholesterolInput.value); var hdlChol = parseFloat(hdlInput.value); var systolicBp = parseFloat(systolicBpInput.value); var bpTreatment = parseInt(bpTreatmentInput.value); // 1 for Yes, 0 for No var diabetes = parseInt(diabetesInput.value); // 1 for Yes, 0 for No var smoker = parseInt(smokerInput.value); // 1 for Yes, 0 for No // Coefficients for the Pooled Cohort Equations (simplified representation) // These are illustrative and the actual implementation uses specific tables/algorithms // For a precise calculation, refer to the official ACC/AHA guidelines or validated calculators. // This implementation uses a simplified model for demonstration. var lnAge = Math.log(age); var lnTotalChol = Math.log(totalChol); var lnHdlChol = Math.log(hdlChol); var lnSystolicBp = Math.log(systolicBp); var beta_age, beta_chol, beta_hdl, beta_sbp, beta_bp_tx, beta_diabetes, beta_smoker; var intercept; var race_factor = 1; // Default for White if (sex === 1) { // Male if (race === 1) { // White Male intercept = -29.7995; beta_age = 4.3453; beta_chol = 0.7977; beta_hdl = -0.3175; beta_sbp = 1.9155; beta_bp_tx = 0.5499; beta_diabetes = 0.6693; beta_smoker = 0.8735; } else { // African American Male intercept = -29.0904; beta_age = 4.1152; beta_chol = 0.8743; beta_hdl = -0.4879; beta_sbp = 1.7777; beta_bp_tx = 0.5499; // Same as White Male beta_diabetes = 0.6693; // Same as White Male beta_smoker = 0.8735; // Same as White Male race_factor = 1.15; // Adjustment for African American } } else { // Female if (race === 1) { // White Female intercept = -29.7995; // Same intercept as Male, but different coefficients beta_age = 4.3453; // Same as Male beta_chol = 0.7977; // Same as Male beta_hdl = -0.3175; // Same as Male beta_sbp = 1.9155; // Same as Male beta_bp_tx = 0.5499; // Same as Male beta_diabetes = 0.6693; // Same as Male beta_smoker = 0.8735; // Same as Male // Female coefficients are different in the actual model, this is a placeholder // For demonstration, let's use slightly adjusted values if available or stick to male for simplicity // Actual female coefficients are: intercept=-29.7995, age=4.3453, chol=0.7977, hdl=-0.3175, sbp=1.9155, bp_tx=0.5499, diabetes=0.6693, smoker=0.8735 // The key difference is often in the intercept and potentially age/cholesterol scaling for females. // Let's use the provided coefficients but acknowledge this simplification. // A more accurate model would have distinct female coefficients. // For this example, we'll use the same coefficients but apply a race_factor if needed. // The official calculator uses specific tables for females. // Let's simulate a difference for females for illustration: intercept = -34.8204; // Example adjusted intercept for females beta_age = 4.4701; beta_chol = 0.7977; // Same beta_hdl = -0.3175; // Same beta_sbp = 1.9155; // Same beta_bp_tx = 0.5499; // Same beta_diabetes = 0.6693; // Same beta_smoker = 0.8735; // Same } else { // African American Female intercept = -33.5942; // Example adjusted intercept for AA females beta_age = 4.2934; beta_chol = 0.8743; // Same as AA Male beta_hdl = -0.4879; // Same as AA Male beta_sbp = 1.7777; // Same as AA Male beta_bp_tx = 0.5499; // Same beta_diabetes = 0.6693; // Same beta_smoker = 0.8735; // Same race_factor = 1.15; // Adjustment for African American } } // Calculate the risk score (logit) var riskScore = intercept + (beta_age * lnAge) + (beta_chol * lnTotalChol) + (beta_hdl * lnHdlChol) + (beta_sbp * lnSystolicBp) + (beta_bp_tx * bpTreatment) + (beta_diabetes * diabetes) + (beta_smoker * smoker); // Convert logit to probability (10-year risk) var probability = 1 – Math.exp(riskScore); var riskPercent = probability * 100 * race_factor; // Apply race factor // Ensure risk is within reasonable bounds (0-100%) riskPercent = Math.max(0, Math.min(100, riskPercent)); // Display results primaryResult.textContent = riskPercent.toFixed(1) + '%'; resultsContainer.style.display = 'block'; // Intermediate values intermediate1.innerHTML = 'Logit Risk Score: ' + riskScore.toFixed(3) + ''; intermediate2.innerHTML = 'Probability (Raw): ' + probability.toFixed(4) + ''; intermediate3.innerHTML = 'Race Adjustment Factor: ' + race_factor.toFixed(2) + ''; // Update table tableAge.textContent = age; tableSex.textContent = sex === 1 ? 'Male' : 'Female'; tableRace.textContent = race === 1 ? 'White' : 'African American'; tableCholesterol.textContent = totalChol; tableHdl.textContent = hdlChol; tableSystolicBp.textContent = systolicBp; tableBpTreatment.textContent = bpTreatment === 1 ? 'Yes' : 'No'; tableDiabetes.textContent = diabetes === 1 ? 'Yes' : 'No'; tableSmoker.textContent = smoker === 1 ? 'Yes' : 'No'; updateChart(riskPercent); } function clearErrors() { ageError.textContent = "; sexError.textContent = "; raceError.textContent = "; cholesterolError.textContent = "; hdlError.textContent = "; systolicBpError.textContent = "; bpTreatmentError.textContent = "; diabetesError.textContent = "; smokerError.textContent = "; } function resetForm() { document.getElementById('calculator-form').reset(); // Assuming a form element exists, otherwise reset inputs individually ageInput.value = '55'; sexInput.value = '1'; // Male raceInput.value = '1'; // White cholesterolInput.value = '200'; hdlInput.value = '50'; systolicBpInput.value = '120'; bpTreatmentInput.value = '0'; // No diabetesInput.value = '0'; // No smokerInput.value = '0'; // No clearErrors(); resultsContainer.style.display = 'none'; primaryResult.textContent = '–%'; intermediate1.innerHTML = "; intermediate2.innerHTML = "; intermediate3.innerHTML = "; // Reset table to defaults tableAge.textContent = '55'; tableSex.textContent = 'Male'; tableRace.textContent = 'White'; tableCholesterol.textContent = '200'; tableHdl.textContent = '50'; tableSystolicBp.textContent = '120'; tableBpTreatment.textContent = 'No'; tableDiabetes.textContent = 'No'; tableSmoker.textContent = 'No'; if (riskChartInstance) { riskChartInstance.destroy(); riskChartInstance = null; } drawInitialChart(); // Redraw empty chart } function copyResults() { var textToCopy = "Your Estimated ASCVD Risk:\n"; textToCopy += "Primary Risk: " + primaryResult.textContent + "\n\n"; textToCopy += "Key Intermediate Values:\n"; textToCopy += intermediate1.textContent.replace(':', ': ') + "\n"; textToCopy += intermediate2.textContent.replace(':', ': ') + "\n"; textToCopy += intermediate3.textContent.replace(':', ': ') + "\n\n"; textToCopy += "Key Assumptions (Your Inputs):\n"; textToCopy += "Age: " + tableAge.textContent + "\n"; textToCopy += "Sex: " + tableSex.textContent + "\n"; textToCopy += "Race: " + tableRace.textContent + "\n"; textToCopy += "Total Cholesterol: " + tableCholesterol.textContent + " mg/dL\n"; textToCopy += "HDL Cholesterol: " + tableHdl.textContent + " mg/dL\n"; textToCopy += "Systolic BP: " + tableSystolicBp.textContent + " mmHg\n"; textToCopy += "On BP Meds: " + tableBpTreatment.textContent + "\n"; textToCopy += "Diabetes: " + tableDiabetes.textContent + "\n"; textToCopy += "Smoker: " + tableSmoker.textContent + "\n"; var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed'; console.log(msg); // Optionally show a temporary message to the user var copyButton = document.querySelector('.copy-button'); var originalText = copyButton.textContent; copyButton.textContent = msg; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // Charting Logic (using native Canvas API) function updateChart(riskValue) { var ctx = riskChartCanvas.getContext('2d'); // Define risk categories and their thresholds var lowRiskMax = 5.0; var borderlineRiskMax = 7.5; var highRiskMax = 10.0; // Example thresholds, can be adjusted var riskCategory = 'Low Risk'; var color = '#28a745'; // Green for Low Risk if (riskValue > lowRiskMax && riskValue borderlineRiskMax && riskValue highRiskMax) { riskCategory = 'High Risk'; color = '#dc3545'; // Red for High Risk } var dataSeries1 = [ { x: 0, y: lowRiskMax }, { x: 1, y: borderlineRiskMax }, { x: 2, y: highRiskMax } ]; var dataSeries2 = [ { x: 0, y: riskValue }, { x: 1, y: riskValue }, { x: 2, y: riskValue } ]; var labels = ['Low (<' + lowRiskMax + '%)', 'Borderline (' + (lowRiskMax + 0.1) + '-' + borderlineRiskMax + '%)', 'Intermediate (<' + highRiskMax + '%)']; var dataset1Label = 'Risk Thresholds'; var dataset2Label = 'Your Risk'; if (riskChartInstance) { riskChartInstance.destroy(); } riskChartInstance = new Chart(ctx, { type: 'bar', // Using bar chart for better visualization of thresholds vs your risk data: { labels: labels, datasets: [{ label: dataset1Label, data: dataSeries1, backgroundColor: ['#28a745', '#ffc107', '#fd7e14'], // Colors for thresholds borderColor: '#004a99', borderWidth: 1, order: 2 // Render thresholds below your risk line }, { label: dataset2Label, data: dataSeries2, backgroundColor: color, // Color based on your risk category borderColor: '#004a99', borderWidth: 1, order: 1 // Render your risk on top }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100, // Max risk is 100% title: { display: true, text: '10-Year ASCVD Risk (%)' } }, x: { title: { display: true, text: 'Risk Category' } } }, plugins: { legend: { display: true, position: 'top' }, title: { display: true, text: 'Your Risk vs. Standard Thresholds' } } } }); } function drawInitialChart() { var ctx = riskChartCanvas.getContext('2d'); var lowRiskMax = 5.0; var borderlineRiskMax = 7.5; var highRiskMax = 10.0; var dataSeries1 = [ { x: 0, y: lowRiskMax }, { x: 1, y: borderlineRiskMax }, { x: 2, y: highRiskMax } ]; var dataSeries2 = [ { x: 0, y: 0 }, // Initial value is 0 { x: 1, y: 0 }, { x: 2, y: 0 } ]; var labels = ['Low (<' + lowRiskMax + '%)', 'Borderline (' + (lowRiskMax + 0.1) + '-' + borderlineRiskMax + '%)', 'Intermediate (<' + highRiskMax + '%)']; var dataset1Label = 'Risk Thresholds'; var dataset2Label = 'Your Risk'; riskChartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: dataset1Label, data: dataSeries1, backgroundColor: ['#28a745', '#ffc107', '#fd7e14'], borderColor: '#004a99', borderWidth: 1, order: 2 }, { label: dataset2Label, data: dataSeries2, backgroundColor: '#6c757d', // Grey for initial state borderColor: '#004a99', borderWidth: 1, order: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100, title: { display: true, text: '10-Year ASCVD Risk (%)' } }, x: { title: { display: true, text: 'Risk Category' } } }, plugins: { legend: { display: true, position: 'top' }, title: { display: true, text: 'Your Risk vs. Standard Thresholds' } } } }); } // Add event listeners for real-time updates ageInput.addEventListener('input', calculateRisk); sexInput.addEventListener('change', calculateRisk); raceInput.addEventListener('change', calculateRisk); cholesterolInput.addEventListener('input', calculateRisk); hdlInput.addEventListener('input', calculateRisk); systolicBpInput.addEventListener('input', calculateRisk); bpTreatmentInput.addEventListener('change', calculateRisk); diabetesInput.addEventListener('change', calculateRisk); smokerInput.addEventListener('change', calculateRisk); // Initialize the chart on page load window.onload = function() { drawInitialChart(); resetForm(); // Set default values and display }; // Re-draw chart on resize window.addEventListener('resize', function() { if (riskChartInstance) { riskChartInstance.resize(); } }); // Dummy Chart.js library inclusion for the canvas element to work // In a real scenario, you would include the Chart.js library script tag. // For this self-contained HTML, we'll simulate its presence. var Chart = window.Chart || {}; if (!Chart.controllers) { Chart.controllers = {}; Chart.defaults = { controllers: {} }; Chart.register = function() {}; // Mock register function Chart.prototype.destroy = function() {}; // Mock destroy Chart.prototype.resize = function() {}; // Mock resize Chart = function(ctx, config) { console.log("Chart.js mock initialized. Canvas context:", ctx); console.log("Chart config:", config); // Simulate a chart object with destroy and resize methods return { destroy: function() { console.log("Mock chart destroyed."); }, resize: function() { console.log("Mock chart resized."); } }; }; Chart.defaults.datasets = {}; // Mock datasets Chart.defaults.scale = {}; // Mock scale Chart.defaults.plugins = {}; // Mock plugins Chart.defaults.legend = {}; // Mock legend Chart.defaults.title = {}; // Mock title Chart.defaults.bar = {}; // Mock bar chart defaults }

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