The American Heart Association Prevent Online Calculator

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American Heart Association Prevent Online Calculator

Assess your cardiovascular health and understand your risk factors.

Heart Disease & Stroke Risk Assessment

Your current age in years.
Male Female
Top number in your blood pressure reading.
Bottom number in your blood pressure reading.
Your total cholesterol level.
"Good" cholesterol level.
Never Smoked Former Smoker Current Smoker
No Yes
No Yes

Your Risk Assessment Results

  • 10-Year Risk (%):
  • Lifetime Risk (%):
  • Risk Category:
Formula Explanation: This calculator uses a simplified risk assessment model based on factors like age, sex, blood pressure, cholesterol levels, smoking status, and diabetes. The 10-year risk estimates the probability of having a heart attack or stroke within the next decade. Lifetime risk provides a broader perspective on long-term cardiovascular health. These are estimates and should be discussed with a healthcare professional.

Risk Factor Contribution Over Time

Note: This chart illustrates a hypothetical contribution of key risk factors to overall cardiovascular risk over a 20-year period, based on your inputs. Actual risk is complex and multifactorial.

Risk Factor Summary

Risk Factor Your Input Impact Level (Hypothetical)
Age
Systolic BP
Total Cholesterol
HDL Cholesterol
Smoking
Diabetes

What is the American Heart Association Prevent Online Calculator?

The American Heart Association (AHA) Prevent Online Calculator is a valuable digital tool designed to help individuals estimate their personal risk of developing cardiovascular disease (CVD), including heart attack and stroke. It serves as an educational resource, empowering users to understand how various lifestyle choices and biological factors contribute to their overall heart health. By inputting specific health metrics, users can gain insights into their potential future risk, encouraging proactive steps towards prevention and management.

Who should use it?

This calculator is recommended for most adults, particularly those who:

  • Are concerned about their heart health.
  • Have a family history of heart disease or stroke.
  • Are experiencing lifestyle changes (e.g., new diet, exercise routine, smoking cessation).
  • Want to understand the impact of their current health metrics (like blood pressure and cholesterol).
  • Are looking for motivation to adopt healthier habits.

It's important to note that this tool provides an *estimate* and is not a substitute for a professional medical diagnosis or consultation with a healthcare provider. It's a starting point for conversation and informed decision-making about heart disease prevention.

Common Misconceptions:

  • It's a definitive diagnosis: The calculator provides a risk score, not a diagnosis. Many factors influence actual outcomes.
  • Low risk means no action needed: Even with a low calculated risk, maintaining a healthy lifestyle is crucial for long-term well-being.
  • High risk means inevitable outcome: A high-risk score is a call to action. Lifestyle changes and medical intervention can significantly reduce risk.
  • It accounts for all risk factors: While comprehensive, the calculator may not include every single factor that could influence CVD risk (e.g., specific genetic predispositions, certain inflammatory conditions).

American Heart Association Prevent Online Calculator Formula and Mathematical Explanation

The American Heart Association's risk assessment tools, including the one simulated here, are typically based on complex statistical models derived from large-scale epidemiological studies. These models aim to predict the probability of a cardiovascular event (like heart attack or stroke) within a specific timeframe (e.g., 10 years) or over a lifetime. While the exact proprietary algorithms can be intricate and may evolve, the core principles involve assigning points or weights to different risk factors based on their statistical association with CVD.

A simplified representation of how such calculators work involves:

  1. Inputting Data: User provides values for key risk factors.
  2. Assigning Weights: Each input value is mapped to a score or weight based on its contribution to risk, often varying by age and sex. For example, higher blood pressure generally contributes more to risk than slightly elevated cholesterol.
  3. Calculating Log-Odds: These weighted scores are often combined into a linear predictor, representing the log-odds of experiencing a cardiovascular event.
  4. Converting to Probability: The log-odds are then converted into a probability (percentage) using a logistic function. This probability represents the estimated risk over a specific period.

Variables and Their Meanings:

Variable Meaning Unit Typical Range
Age Current age of the individual Years 20 – 80+
Biological Sex Sex assigned at birth (influences baseline risk) Categorical (Male/Female) Male, Female
Systolic Blood Pressure (SBP) The higher number in a blood pressure reading; pressure when heart beats mmHg 80 – 180+
Diastolic Blood Pressure (DBP) The lower number in a blood pressure reading; pressure when heart rests between beats mmHg 50 – 110+
Total Cholesterol Overall cholesterol level in the blood mg/dL 100 – 300+
HDL Cholesterol High-Density Lipoprotein ("good" cholesterol) mg/dL 20 – 90+
Smoking Status Current, former, or never smoker Categorical Never, Former, Current
Diabetes Presence or absence of diabetes mellitus Categorical Yes, No
Taking Blood Pressure Medication Whether the individual is currently on medication for hypertension Categorical Yes, No

The specific mathematical formula used by the AHA is complex and often proprietary, involving coefficients derived from regression analysis on large datasets. For instance, a simplified logistic regression model might look conceptually like:

Log-odds(Risk) = β₀ + β₁(Age) + β₂(Sex) + β₃(SBP) + β₄(TotalChol) + β₅(HDLChol) + β₆(Smoker) + β₇(Diabetes) + …

Where β values are coefficients determined by the model. The resulting log-odds are then transformed into a probability using the logistic function: P = 1 / (1 + e^(-Log-odds)). The precise coefficients and how they are adjusted for interactions (e.g., how smoking affects risk differently in older individuals) are key to the calculator's accuracy.

Practical Examples (Real-World Use Cases)

Let's illustrate how the American Heart Association Prevent Online Calculator can be used with two distinct scenarios:

Example 1: A Health-Conscious Middle-Aged Adult

Inputs:

  • Age: 45
  • Biological Sex: Female
  • Systolic Blood Pressure: 115 mmHg
  • Diastolic Blood Pressure: 75 mmHg
  • Total Cholesterol: 180 mg/dL
  • HDL Cholesterol: 55 mg/dL
  • Smoking Status: Never Smoked
  • Diabetes: No
  • Taking Blood Pressure Medication: No

Hypothetical Outputs:

  • Primary Result: Low Risk
  • 10-Year Risk: 3%
  • Lifetime Risk: 15%
  • Risk Category: Low

Financial Interpretation: This individual has a low calculated risk of a cardiovascular event in the next 10 years. This suggests that their current lifestyle and health metrics are generally favorable. From a financial perspective, this might translate to lower potential healthcare costs related to heart disease in the near future and potentially more favorable insurance premiums (though insurance underwriting is complex and considers many factors). However, maintaining these healthy habits is crucial for sustained low risk. This user might consider this a green light to continue their healthy lifestyle choices and perhaps explore preventive health screenings.

Example 2: An Adult with Several Risk Factors

Inputs:

  • Age: 60
  • Biological Sex: Male
  • Systolic Blood Pressure: 145 mmHg
  • Diastolic Blood Pressure: 90 mmHg
  • Total Cholesterol: 240 mg/dL
  • HDL Cholesterol: 40 mg/dL
  • Smoking Status: Current Smoker
  • Diabetes: Yes
  • Taking Blood Pressure Medication: Yes

Hypothetical Outputs:

  • Primary Result: High Risk
  • 10-Year Risk: 25%
  • Lifetime Risk: 60%
  • Risk Category: High

Financial Interpretation: This individual faces a significantly elevated risk of a cardiovascular event. The combination of age, male sex, high blood pressure (even while on medication), borderline high cholesterol, current smoking, and diabetes creates a substantial burden on their cardiovascular system. Financially, this translates to a much higher likelihood of significant healthcare expenses in the coming years, including potential hospitalizations, surgeries (like bypass or angioplasty), and long-term management of chronic conditions. This user should prioritize immediate consultation with their doctor to aggressively manage these risk factors. Actions like smoking cessation, medication adherence, dietary changes, and increased physical activity are critical not only for health but also for mitigating future financial burdens associated with cardiovascular disease. This high-risk score underscores the urgency of preventive health measures.

How to Use This American Heart Association Prevent Online Calculator

Using the AHA Prevent Online Calculator is straightforward. Follow these steps to get your personalized risk assessment:

  1. Gather Your Information: Before you start, collect your latest health metrics. This includes your current age, biological sex, recent blood pressure readings (both systolic and diastolic), total cholesterol level, HDL ("good") cholesterol level, your smoking status (never, former, or current), whether you have been diagnosed with diabetes, and if you are currently taking medication for high blood pressure.
  2. Enter Your Data: Input each piece of information into the corresponding field on the calculator. Ensure accuracy, especially with numerical values. For blood pressure and cholesterol, use the most recent reliable measurements.
  3. Select Options: For categorical data like biological sex, smoking status, diabetes, and medication use, select the appropriate option from the dropdown menus.
  4. Calculate Risk: Once all fields are filled, click the "Calculate Risk" button. The calculator will process your inputs.
  5. Review Your Results: The calculator will display your estimated 10-year risk percentage, lifetime risk percentage, and an overall risk category (e.g., Low, Borderline, Intermediate, High). A primary highlighted result will summarize your overall risk status.
  6. Understand Intermediate Values: Pay attention to the intermediate values, such as the specific percentages for 10-year and lifetime risk, as they provide more granular detail.
  7. Read the Formula Explanation: Familiarize yourself with the basic explanation of how the risk is calculated. This helps in understanding the significance of each input factor.
  8. Analyze the Chart and Table: Examine the dynamic chart and table to visualize how different risk factors contribute to your overall risk profile and see a summary of your inputs.

How to Read Results:

  • Primary Result: This gives a quick summary (e.g., "Low Risk," "High Risk").
  • 10-Year Risk (%): The percentage chance you will have a heart attack or stroke in the next 10 years. Lower is better.
  • Lifetime Risk (%): The percentage chance you will have a cardiovascular event at some point in your life. Lower is better.
  • Risk Category: A classification (Low, Borderline, Intermediate, High) based on established guidelines, providing context to the percentages.

Decision-Making Guidance:

  • Low Risk: Continue healthy habits and regular check-ups.
  • Borderline/Intermediate Risk: Discuss lifestyle modifications and potential interventions with your doctor.
  • High Risk: Immediate consultation with a healthcare provider is strongly recommended to develop a comprehensive management plan.

Remember, this tool is for informational purposes. Always consult with a qualified healthcare professional for personalized medical advice and treatment plans. Use the "Reset" button to clear your inputs and start over.

Key Factors That Affect American Heart Association Prevent Online Calculator Results

Several key factors significantly influence the risk score generated by the AHA Prevent Online Calculator. Understanding these can help users interpret their results and identify areas for improvement:

  1. Age: Cardiovascular risk naturally increases with age. Arteries can become stiffer and narrower over time, and the cumulative effects of lifestyle and biological processes contribute to higher risk in older individuals. This is often the most significant predictor in risk models.
  2. Blood Pressure (Systolic & Diastolic): Hypertension (high blood pressure) is a major risk factor. It damages blood vessel walls, making them more prone to atherosclerosis (hardening and narrowing). Even slightly elevated blood pressure can increase risk over time. The calculator considers both systolic and diastolic readings, and whether medication is being used, as uncontrolled or treated hypertension indicates a higher underlying risk.
  3. Cholesterol Levels (Total & HDL): High levels of LDL ("bad") cholesterol contribute to plaque buildup in arteries. Conversely, higher levels of HDL ("good") cholesterol can help remove excess cholesterol from the arteries. The ratio between total and HDL cholesterol, and the absolute levels of each, are critical inputs. Low HDL and high Total/LDL cholesterol significantly elevate risk.
  4. Smoking Status: Smoking is one of the most potent and preventable risk factors for CVD. It damages blood vessels, increases blood pressure, reduces the oxygen-carrying capacity of blood, and lowers HDL cholesterol. Current smokers face a substantially higher risk compared to former or never smokers. The calculator reflects this significant impact.
  5. Diabetes Mellitus: Diabetes significantly increases CVD risk, often by 2 to 4 times. High blood sugar levels over time can damage blood vessels and nerves that control the heart. People with diabetes often have other co-existing risk factors like hypertension and abnormal cholesterol levels, compounding the risk.
  6. Biological Sex: Historically, men have been found to develop heart disease at younger ages than women. However, after menopause, a woman's risk increases significantly, often catching up to men's. Risk models incorporate these sex-based differences in baseline risk and how risk factors manifest at different ages.
  7. Family History (Implicit): While not always a direct input in simpler calculators, a strong family history of premature heart disease is a known risk factor. Genetic predispositions can influence cholesterol levels, blood pressure regulation, and susceptibility to atherosclerosis. More advanced risk calculators might incorporate this.
  8. Lifestyle Factors (Diet & Exercise – Implicit): While not always direct inputs, diet and physical activity profoundly impact blood pressure, cholesterol, weight, and diabetes risk. The calculator's results implicitly reflect the consequences of these lifestyle choices. For example, poor diet and lack of exercise can lead to higher cholesterol and blood pressure, thus increasing the calculated risk.

Frequently Asked Questions (FAQ)

What is the difference between 10-year risk and lifetime risk?

The 10-year risk estimates the probability of experiencing a major cardiovascular event (like a heart attack or stroke) within the next decade. The lifetime risk provides a broader perspective, estimating the overall chance of developing or dying from cardiovascular disease over the course of your life. Both are important metrics for understanding your cardiovascular health trajectory.

Can this calculator predict exactly when I will have a heart attack?

No, absolutely not. This calculator provides a statistical probability or risk score based on population data and known risk factors. It cannot predict the exact timing of a cardiovascular event for an individual. Many unpredictable factors can influence health outcomes.

My risk is low. Do I still need to worry about heart health?

A low-risk score is excellent news! However, it's still crucial to maintain a healthy lifestyle (balanced diet, regular exercise, not smoking, managing stress) and attend regular medical check-ups. Risk can change over time due to aging, lifestyle changes, or the development of new health conditions.

My risk is high. Is it too late to make a difference?

It is never too late to take action! A high-risk score is a serious warning sign, but it is also a powerful motivator. By working closely with your healthcare provider to manage risk factors like blood pressure, cholesterol, diabetes, and smoking, you can significantly reduce your actual risk and improve your long-term health outcomes.

Does the calculator account for family history?

Many versions of the AHA risk calculator do not have a direct input for family history, though some more advanced models might. However, family history is a known risk factor. If you have a strong family history of early heart disease, discuss this with your doctor, as it may warrant closer monitoring or more aggressive management of other risk factors.

What does it mean if I'm taking blood pressure medication but my BP is still high?

If you are taking blood pressure medication and your readings remain elevated (e.g., systolic ≥ 130 mmHg or diastolic ≥ 80 mmHg, depending on guidelines), it indicates that your hypertension is not adequately controlled. This significantly increases your cardiovascular risk. It's essential to consult your doctor to adjust your medication dosage, change medications, or explore other treatment options.

How often should I use this calculator?

It's generally recommended to use the calculator periodically, perhaps annually, or whenever there are significant changes in your health status or lifestyle (e.g., starting a new medication, quitting smoking, major dietary changes). Regular reassessment helps track progress and identify emerging risks.

Are the results from this calculator legally binding for insurance purposes?

No, the results from this online calculator are for educational and informational purposes only. They are not intended to be used as a definitive assessment for insurance underwriting or any other legal or financial decision-making process. Insurance companies use their own proprietary algorithms and underwriting criteria.

© 2023 Your Website Name. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice. Consult with a healthcare professional for any health concerns.

var chartInstance = null; // Global variable to hold chart instance function validateInput(id, min, max, errorId, message) { var input = document.getElementById(id); var value = parseFloat(input.value); var errorDiv = document.getElementById(errorId); errorDiv.textContent = "; // Clear previous error if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; return false; } if (value max) { errorDiv.textContent = message; return false; } return true; } function calculateRisk() { // Clear previous errors document.getElementById('ageError').textContent = "; document.getElementById('systolicBpError').textContent = "; document.getElementById('diastolicBpError').textContent = "; document.getElementById('cholesterolTotalError').textContent = "; document.getElementById('cholesterolHdlError').textContent = "; // Input validation var isValid = true; isValid &= validateInput('age', 20, 100, 'ageError', 'Age must be between 20 and 100.'); isValid &= validateInput('systolicBp', 70, 200, 'systolicBpError', 'Systolic BP must be between 70 and 200 mmHg.'); isValid &= validateInput('diastolicBp', 40, 120, 'diastolicBpError', 'Diastolic BP must be between 40 and 120 mmHg.'); isValid &= validateInput('cholesterolTotal', 100, 400, 'cholesterolTotalError', 'Total Cholesterol must be between 100 and 400 mg/dL.'); isValid &= validateInput('cholesterolHdl', 20, 100, 'cholesterolHdlError', 'HDL Cholesterol must be between 20 and 100 mg/dL.'); if (!isValid) { // Reset results if validation fails document.getElementById('primaryResult').textContent = '–'; document.getElementById('tenYearRisk').textContent = '–'; document.getElementById('lifetimeRisk').textContent = '–'; document.getElementById('riskCategory').textContent = '–'; updateTableAndChart('–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–'); return; } var age = parseFloat(document.getElementById('age').value); var gender = document.getElementById('gender').value; var systolicBp = parseFloat(document.getElementById('systolicBp').value); var diastolicBp = parseFloat(document.getElementById('diastolicBp').value); var cholesterolTotal = parseFloat(document.getElementById('cholesterolTotal').value); var cholesterolHdl = parseFloat(document.getElementById('cholesterolHdl').value); var smokingStatus = document.getElementById('smokingStatus').value; var diabetes = document.getElementById('diabetes').value; var medication = document.getElementById('medication').value; // Simplified risk calculation logic (conceptual, not AHA's exact model) // This is a placeholder for a more complex algorithm. // Real AHA calculators use Framingham or similar models with specific coefficients. var riskScore = 0; var tenYearRiskPercent = 0; var lifetimeRiskPercent = 0; var riskCategory = "; // — Simplified Scoring Logic — // Age points (example) if (gender === 'male') { if (age >= 40) riskScore += (age – 40) * 0.5; if (age >= 50) riskScore += (age – 50) * 1.0; if (age >= 60) riskScore += (age – 60) * 1.5; } else { // female if (age >= 50) riskScore += (age – 50) * 0.5; if (age >= 60) riskScore += (age – 60) * 1.0; if (age >= 70) riskScore += (age – 70) * 1.5; } // Blood Pressure points if (systolicBp >= 140 || diastolicBp >= 90) { riskScore += 5; if (medication === 'yes') riskScore += 2; // Penalty for needing meds } else if (systolicBp >= 130 || diastolicBp >= 85) { riskScore += 3; if (medication === 'yes') riskScore += 1; } else if (systolicBp >= 120 || diastolicBp >= 80) { riskScore += 1; if (medication === 'yes') riskScore += 0.5; } // Cholesterol points var cholesterolRatio = cholesterolTotal / cholesterolHdl; if (cholesterolRatio >= 5) riskScore += 4; else if (cholesterolRatio >= 4.5) riskScore += 2; else if (cholesterolRatio >= 4) riskScore += 1; if (cholesterolTotal >= 240) riskScore += 3; else if (cholesterolTotal >= 220) riskScore += 1; if (cholesterolHdl < 40 && gender === 'male') riskScore += 3; if (cholesterolHdl < 50 && gender === 'female') riskScore += 3; else if (cholesterolHdl < 45 && gender === 'male') riskScore += 1; else if (cholesterolHdl < 55 && gender === 'female') riskScore += 1; // Smoking points if (smokingStatus === 'current') riskScore += 8; else if (smokingStatus === 'former') riskScore += 3; // Diabetes points if (diabetes === 'yes') riskScore += 5; // — Convert Score to Percentages (Highly Simplified) — // These conversion factors are illustrative and not based on real AHA models. if (gender === 'male') { tenYearRiskPercent = Math.min(30, Math.max(1, riskScore * 0.8)); // Cap at 30% for example lifetimeRiskPercent = Math.min(70, Math.max(5, riskScore * 1.5)); // Cap at 70% for example } else { // female tenYearRiskPercent = Math.min(25, Math.max(1, riskScore * 0.6)); // Cap at 25% for example lifetimeRiskPercent = Math.min(60, Math.max(5, riskScore * 1.2)); // Cap at 60% for example } // Determine Risk Category if (tenYearRiskPercent < 5) { riskCategory = 'Low'; } else if (tenYearRiskPercent < 10) { riskCategory = 'Borderline'; } else if (tenYearRiskPercent 65) ageImpact = 'High'; else if (age = 140 || diastolicBp >= 90) bpImpact = 'High'; else if (systolicBp < 120 && diastolicBp = 240) cholTotalImpact = 'High'; else if (cholesterolTotal < 200) cholTotalImpact = 'Low'; var hdlImpact = 'Moderate'; if ((gender === 'male' && cholesterolHdl < 40) || (gender === 'female' && cholesterolHdl 60) || (gender === 'female' && cholesterolHdl > 70)) hdlImpact = 'Low'; var smokingImpact = 'Low'; if (smokingStatus === 'current') smokingImpact = 'Very High'; else if (smokingStatus === 'former') smokingImpact = 'Moderate'; var diabetesImpact = 'Moderate'; if (diabetes === 'yes') diabetesImpact = 'High'; document.getElementById('tableAgeImpact').textContent = ageImpact; document.getElementById('tableSystolicBpImpact').textContent = bpImpact; document.getElementById('tableCholesterolTotalImpact').textContent = cholTotalImpact; document.getElementById('tableCholesterolHdlImpact').textContent = hdlImpact; document.getElementById('tableSmokingImpact').textContent = smokingImpact; document.getElementById('tableDiabetesImpact').textContent = diabetesImpact; // Update Chart var ctx = document.getElementById('riskChart').getContext('2d'); // Define data series based on simplified risk score contributions // These are illustrative values and not precise calculations var ageData = (gender === 'male' ? (age – 40) * 0.5 : (age – 50) * 0.5) || 0; var bpData = (systolicBp >= 140 || diastolicBp >= 90) ? 5 : ((systolicBp >= 130 || diastolicBp >= 85) ? 3 : ((systolicBp >= 120 || diastolicBp >= 80) ? 1 : 0)); var cholRatioData = (cholesterolTotal / cholesterolHdl) >= 5 ? 4 : ((cholesterolTotal / cholesterolHdl) >= 4.5 ? 2 : ((cholesterolTotal / cholesterolHdl) >= 4 ? 1 : 0)); var cholTotalData = cholesterolTotal >= 240 ? 3 : (cholesterolTotal >= 220 ? 1 : 0); var hdlData = (gender === 'male' && cholesterolHdl < 40) || (gender === 'female' && cholesterolHdl < 50) ? 3 : ((gender === 'male' && cholesterolHdl < 45) || (gender === 'female' && cholesterolHdl 0 ? (riskScore / totalIllustrativeScore) * 100 : 0; // Normalize to risk score var chartData = { labels: ['Age', 'Blood Pressure', 'Cholesterol', 'Smoking', 'Diabetes'], datasets: [{ label: 'Contribution to Risk Score (%)', data: [ (ageData * scaleFactor * 0.5).toFixed(1), // Adjust scaling for visualization (bpData * scaleFactor * 0.8).toFixed(1), ((cholTotalData + hdlData) * scaleFactor * 0.7).toFixed(1), // Combine cholesterol factors (smokingData * scaleFactor * 1.2).toFixed(1), (diabetesData * scaleFactor * 1.1).toFixed(1) ], backgroundColor: 'rgba(0, 74, 153, 0.6)', borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Risk Category Thresholds (%)', // Hypothetical thresholds data: [ riskCategory === 'Low' ? 5 : (riskCategory === 'Borderline' ? 10 : (riskCategory === 'Intermediate' ? 20 : 20)), riskCategory === 'Low' ? 5 : (riskCategory === 'Borderline' ? 10 : (riskCategory === 'Intermediate' ? 20 : 20)), riskCategory === 'Low' ? 5 : (riskCategory === 'Borderline' ? 10 : (riskCategory === 'Intermediate' ? 20 : 20)), riskCategory === 'Low' ? 5 : (riskCategory === 'Borderline' ? 10 : (riskCategory === 'Intermediate' ? 20 : 20)), riskCategory === 'Low' ? 5 : (riskCategory === 'Borderline' ? 10 : (riskCategory === 'Intermediate' ? 20 : 20)) ], type: 'line', // Display as line for threshold reference fill: false, borderColor: 'rgba(40, 167, 69, 0.8)', // Success color borderDash: [5, 5], pointRadius: 0 }] }; if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance } chartInstance = new Chart(ctx, { type: 'bar', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Estimated Contribution (%)' } }, x: { title: { display: true, text: 'Risk Factor Category' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Estimated Contribution of Factors to Risk Score' } } } }); } function resetForm() { document.getElementById('age').value = '45'; document.getElementById('gender').value = 'male'; document.getElementById('systolicBp').value = '120'; document.getElementById('diastolicBp').value = '80'; document.getElementById('cholesterolTotal').value = '200'; document.getElementById('cholesterolHdl').value = '50'; document.getElementById('smokingStatus').value = 'never'; document.getElementById('diabetes').value = 'no'; document.getElementById('medication').value = 'no'; // Clear errors document.getElementById('ageError').textContent = "; document.getElementById('systolicBpError').textContent = "; document.getElementById('diastolicBpError').textContent = "; document.getElementById('cholesterolTotalError').textContent = "; document.getElementById('cholesterolHdlError').textContent = "; // Reset results display document.getElementById('primaryResult').textContent = '–'; document.getElementById('tenYearRisk').textContent = '–'; document.getElementById('lifetimeRisk').textContent = '–'; document.getElementById('riskCategory').textContent = '–'; // Clear table content updateTableAndChart('–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–', '–'); // Destroy chart if it exists if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } // Initial calculation on page load with default values document.addEventListener('DOMContentLoaded', function() { calculateRisk(); }); // FAQ Toggle Function function toggleFaq(element) { var faqItem = element.closest('.faq-item'); faqItem.classList.toggle('open'); } // Chart.js library (must be included externally or embedded) // For this self-contained HTML, we'll assume Chart.js is available globally. // In a real-world scenario, you'd include it via CDN or local file: // // Since we cannot use external scripts, this is a placeholder. // If running this code, ensure Chart.js is loaded in the environment. // For demonstration purposes, I'll include a minimal mock if Chart is not defined. if (typeof Chart === 'undefined') { console.warn("Chart.js not found. Chart functionality will be disabled."); var Chart = function() { this.destroy = function() { console.log("Mock Chart destroy called."); }; }; Chart.prototype.getContext = function() { return null; }; }

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