Cardiac Surgical Risk Calculator

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Cardiac Surgical Risk Calculator

Estimate your risk of mortality and major complications before cardiac surgery.

Cardiac Surgical Risk Assessment

Enter the patient's age in years.
Male Female Select the patient's biological sex.
No Yes Does the patient have a history of CHF?
No Yes Does the patient have diagnosed CAD?
No Yes Has the patient had a previous heart attack?
No Yes Has the patient had a previous stroke?
No Yes Does the patient have diabetes?
No Yes Does the patient have high blood pressure?
No Yes Does the patient have kidney failure?
No Yes Does the patient have Chronic Obstructive Pulmonary Disease?
No Yes Does the patient have disease in leg arteries?
No Yes Is the surgery an emergency procedure?
No Yes Does the patient experience shortness of breath?
No Yes Has the patient had a previous unplanned reoperation?
No Yes Does the patient have endocarditis?
No Yes Does the patient have valvular heart disease?
No Yes Does the patient have an ascending aorta aneurysm?
No Yes Has the patient had prior surgery for MI?
No Yes Has the patient had prior valve surgery?
No Yes Has the patient had prior Coronary Artery Bypass Grafting?
No Yes Has the patient had other prior cardiac surgery?
No Yes Is the patient female and younger than 65?
No Yes Is the patient male and older than 65?
No Yes Is the patient female and older than 65?
No Yes Was the patient admitted to hospital unexpectedly?
No Yes Was the patient admitted to a critical care unit?
No Yes Was reoperation for bleeding required?
No Yes Was mechanical ventilation required for more than 48 hours?
No Yes Did the patient experience a stroke after surgery?
No Yes Did the patient require dialysis after surgery?
No Yes Did the patient develop a sternal wound infection?
No Yes Was another reoperation required for reasons other than bleeding?
No Yes Did the patient experience cardiac arrest?
No Yes Did the patient die?

Your Estimated Cardiac Surgical Risk

Mortality Risk: %
Major Morbidity Risk: %
Composite Risk (Mortality + Morbidity): %
This calculator uses a simplified logistic regression model based on common risk factors. The exact formula is complex and proprietary to specific risk scores (e.g., STS Score). This is an estimation tool.

Risk Breakdown Comparison

What is Cardiac Surgical Risk?

Cardiac surgical risk refers to the probability that a patient will experience adverse outcomes, including death or significant complications, following a procedure on the heart. These procedures can range from coronary artery bypass grafting (CABG) to valve repair or replacement, and even heart transplantation. Understanding this risk is crucial for both patients and their medical teams to make informed decisions about whether to proceed with surgery, explore alternative treatments, or prepare adequately for potential challenges.

Who should use a Cardiac Surgical Risk Calculator?

Anyone scheduled for or considering cardiac surgery should ideally have their risk assessed. This includes patients diagnosed with conditions like severe coronary artery disease, significant valvular heart disease, aortic aneurysms, or heart failure requiring surgical intervention. It's a tool for patients to gain a clearer picture of potential outcomes, empowering them to discuss options and expectations with their cardiologists and cardiac surgeons.

Common Misconceptions about Cardiac Surgical Risk:

  • "Surgery is always successful." While cardiac surgery has high success rates, it is a major procedure with inherent risks.
  • "Risk calculators are 100% accurate." These are statistical models providing estimates based on population data. Individual outcomes can vary.
  • "Younger patients have no risk." Age is a factor, but other comorbidities significantly influence risk, even in younger individuals.
  • "Only the surgeon's skill matters." Patient-specific factors play a massive role in surgical outcomes.

Cardiac Surgical Risk Calculator Formula and Mathematical Explanation

The calculation of cardiac surgical risk is complex and typically relies on sophisticated statistical models, often logistic regression, developed from large datasets of patient outcomes. These models assign weights to various patient characteristics and comorbidities to predict the probability of specific adverse events. While proprietary scores like the Society of Thoracic Surgeons (STS) score are widely used, a simplified approach can illustrate the concept.

A common approach involves a logistic function:

P(Event) = 1 / (1 + e^-(β₀ + β₁X₁ + β₂X₂ + … + βnXn))

Where:

  • P(Event) is the probability of the adverse event (e.g., mortality).
  • e is the base of the natural logarithm.
  • β₀ is the intercept (baseline risk).
  • β₁, β₂, …, βn are the coefficients (weights) for each predictor variable.
  • X₁, X₂, …, Xn are the values of the predictor variables (patient characteristics).

For this calculator, we've implemented a simplified model inspired by common risk factors. The exact coefficients (β values) are derived from statistical analysis of patient data and are specific to the risk score being used (e.g., STS Score). The calculator uses a combination of patient demographics and comorbidities to estimate risk.

Variable Explanations and Typical Ranges:

Risk Factor Variables
Variable Meaning Unit/Type Typical Range/Values
Age Patient's age in years Years 18 – 90+
Sex Biological sex of the patient Categorical (Male/Female) 0 (Female), 1 (Male)
CHF Congestive Heart Failure Binary (Yes/No) 0 (No), 1 (Yes)
CAD Coronary Artery Disease Binary (Yes/No) 0 (No), 1 (Yes)
MI Previous Myocardial Infarction Binary (Yes/No) 0 (No), 1 (Yes)
Stroke Previous Stroke Binary (Yes/No) 0 (No), 1 (Yes)
Diabetes Diabetes Mellitus Binary (Yes/No) 0 (No), 1 (Yes)
HTN Hypertension Binary (Yes/No) 0 (No), 1 (Yes)
Renal Failure Renal Failure Binary (Yes/No) 0 (No), 1 (Yes)
COPD Chronic Obstructive Pulmonary Disease Binary (Yes/No) 0 (No), 1 (Yes)
Peripheral Vascular Disease Peripheral Vascular Disease Binary (Yes/No) 0 (No), 1 (Yes)
Emergent Surgery Surgery is an emergency Binary (Yes/No) 0 (No), 1 (Yes)
Dyspnea Shortness of Breath Binary (Yes/No) 0 (No), 1 (Yes)
Unplanned Reoperation Prior unplanned reoperation Binary (Yes/No) 0 (No), 1 (Yes)
Endocarditis Endocarditis Binary (Yes/No) 0 (No), 1 (Yes)
Valvular Heart Disease Valvular Heart Disease Binary (Yes/No) 0 (No), 1 (Yes)
Ascending Aorta Aneurysm Ascending Aorta Aneurysm Binary (Yes/No) 0 (No), 1 (Yes)
Prior MI Surgery Prior surgery for MI Binary (Yes/No) 0 (No), 1 (Yes)
Prior Valve Surgery Prior valve surgery Binary (Yes/No) 0 (No), 1 (Yes)
Prior CABG Prior Coronary Artery Bypass Grafting Binary (Yes/No) 0 (No), 1 (Yes)
Prior Other Cardiac Surgery Other prior cardiac surgery Binary (Yes/No) 0 (No), 1 (Yes)
Female < 65 Years Patient is female and < 65 Binary (Yes/No) 0 (No), 1 (Yes)
Male > 65 Years Patient is male and > 65 Binary (Yes/No) 0 (No), 1 (Yes)
Female > 65 Years Patient is female and > 65 Binary (Yes/No) 0 (No), 1 (Yes)
Unplanned Admission Unplanned hospital admission Binary (Yes/No) 0 (No), 1 (Yes)
Critical Care Unit Admission Critical care unit admission Binary (Yes/No) 0 (No), 1 (Yes)
Reoperation for Bleeding Reoperation for bleeding Binary (Yes/No) 0 (No), 1 (Yes)
Ventilation > 48 Hours Ventilation > 48 hours Binary (Yes/No) 0 (No), 1 (Yes)
Postoperative Stroke Postoperative stroke Binary (Yes/No) 0 (No), 1 (Yes)
Postoperative Renal Dialysis Postoperative renal dialysis Binary (Yes/No) 0 (No), 1 (Yes)
Sternal Infection Sternal infection Binary (Yes/No) 0 (No), 1 (Yes)
Reoperation (Other) Other reoperation Binary (Yes/No) 0 (No), 1 (Yes)
Cardiac Arrest Cardiac arrest Binary (Yes/No) 0 (No), 1 (Yes)
Death Death Binary (Yes/No) 0 (No), 1 (Yes)

Practical Examples (Real-World Use Cases)

Example 1: Mr. John Smith

Patient Profile: Mr. Smith is a 72-year-old male, scheduled for a CABG. He has a history of hypertension, diabetes, and previous myocardial infarction. He does not have CHF, stroke, COPD, or renal failure. His surgery is elective.

Inputs:

  • Age: 72
  • Sex: Male (1)
  • CHF: No (0)
  • CAD: Yes (1)
  • MI: Yes (1)
  • Stroke: No (0)
  • Diabetes: Yes (1)
  • HTN: Yes (1)
  • Renal Failure: No (0)
  • COPD: No (0)
  • Peripheral Vascular Disease: No (0)
  • Emergent Surgery: No (0)
  • Dyspnea: No (0)
  • Unplanned Reoperation: No (0)
  • Endocarditis: No (0)
  • Valvular Heart Disease: No (0)
  • Ascending Aorta Aneurysm: No (0)
  • Prior MI Surgery: No (0)
  • Prior Valve Surgery: No (0)
  • Prior CABG: No (0)
  • Prior Other Cardiac Surgery: No (0)
  • Female < 65 Years: No (0)
  • Male > 65 Years: Yes (1)
  • Female > 65 Years: No (0)
  • Unplanned Admission: No (0)
  • Critical Care Unit Admission: No (0)
  • Reoperation for Bleeding: No (0)
  • Ventilation > 48 Hours: No (0)
  • Postoperative Stroke: No (0)
  • Postoperative Renal Dialysis: No (0)
  • Sternal Infection: No (0)
  • Reoperation (Other): No (0)
  • Cardiac Arrest: No (0)
  • Death: No (0)

Estimated Results (Illustrative):

  • Mortality Risk: 3.5%
  • Major Morbidity Risk: 8.0%
  • Composite Risk: 11.5%

Interpretation: Mr. Smith has a moderate risk profile due to his age and comorbidities (diabetes, hypertension, prior MI). The estimated 3.5% mortality risk suggests that for every 1000 patients with similar profiles, approximately 35 might not survive the surgery. The 8.0% major morbidity risk indicates potential significant complications. The combined risk of 11.5% highlights the need for careful pre-operative optimization and post-operative monitoring.

Example 2: Ms. Jane Doe

Patient Profile: Ms. Doe is a 58-year-old female, undergoing elective valve replacement. She has a history of CHF and hypertension. She has no history of CAD, MI, stroke, diabetes, renal failure, COPD, or peripheral vascular disease. She is not female < 65 years.

Inputs:

  • Age: 58
  • Sex: Female (0)
  • CHF: Yes (1)
  • CAD: No (0)
  • MI: No (0)
  • Stroke: No (0)
  • Diabetes: No (0)
  • HTN: Yes (1)
  • Renal Failure: No (0)
  • COPD: No (0)
  • Peripheral Vascular Disease: No (0)
  • Emergent Surgery: No (0)
  • Dyspnea: Yes (1)
  • Unplanned Reoperation: No (0)
  • Endocarditis: No (0)
  • Valvular Heart Disease: Yes (1)
  • Ascending Aorta Aneurysm: No (0)
  • Prior MI Surgery: No (0)
  • Prior Valve Surgery: No (0)
  • Prior CABG: No (0)
  • Prior Other Cardiac Surgery: No (0)
  • Female < 65 Years: Yes (1)
  • Male > 65 Years: No (0)
  • Female > 65 Years: No (0)
  • Unplanned Admission: No (0)
  • Critical Care Unit Admission: No (0)
  • Reoperation for Bleeding: No (0)
  • Ventilation > 48 Hours: No (0)
  • Postoperative Stroke: No (0)
  • Postoperative Renal Dialysis: No (0)
  • Sternal Infection: No (0)
  • Reoperation (Other): No (0)
  • Cardiac Arrest: No (0)
  • Death: No (0)

Estimated Results (Illustrative):

  • Mortality Risk: 2.0%
  • Major Morbidity Risk: 6.5%
  • Composite Risk: 8.5%

Interpretation: Ms. Doe, despite being younger than Mr. Smith, has a significant risk factor in her CHF and the fact she is undergoing valve surgery (often more complex than CABG). Her estimated mortality risk is 2.0%, with a major morbidity risk of 6.5%. This indicates a generally favorable outlook but underscores the importance of managing her CHF and the specific risks associated with valve procedures.

How to Use This Cardiac Surgical Risk Calculator

Using this cardiac surgical risk calculator is straightforward. Follow these steps to get an estimated risk assessment:

  1. Gather Patient Information: Collect all the necessary details about the patient, including their age, sex, and a comprehensive list of medical conditions (comorbidities) such as heart failure, diabetes, hypertension, kidney disease, lung disease, and history of stroke or heart attack. Note if the surgery is emergent or elective.
  2. Input Data: Enter the patient's age in the designated field. For each medical condition or characteristic listed, select 'Yes' (1) or 'No' (0) from the dropdown menus. Ensure you accurately reflect the patient's medical history.
  3. Calculate Risk: Once all relevant information is entered, click the "Calculate Risk" button.
  4. Review Results: The calculator will display the estimated risk of mortality, major morbidity, and a composite risk score. These are presented as percentages.
  5. Understand the Output: The primary result shows the overall estimated risk. Intermediate values provide a breakdown of mortality and morbidity risks. The composite risk gives a combined view. A brief explanation of the formula's basis is also provided.
  6. Interpret the Risk: Discuss these estimated risks with your healthcare provider. These numbers are statistical probabilities and should be considered alongside clinical judgment, the specific type of cardiac surgery planned, and the patient's overall health status.
  7. Reset or Copy: Use the "Reset" button to clear the fields and start over. The "Copy Results" button allows you to easily transfer the calculated risk figures and key assumptions for documentation or sharing.

Decision-Making Guidance: The results from this calculator are intended to aid discussion, not dictate decisions. High-risk scores may prompt surgeons and patients to consider less invasive options, optimize medical management before surgery, or even reconsider the necessity of the procedure. Conversely, low-risk scores can provide reassurance.

Key Factors That Affect Cardiac Surgical Risk

Several factors significantly influence the risk associated with cardiac surgery. Understanding these can help in interpreting the results from a cardiac surgical risk calculator:

  1. Patient Age: Older patients generally have a higher risk due to decreased physiological reserve and a higher likelihood of comorbidities.
  2. Comorbidities: The presence and severity of other medical conditions are paramount. Conditions like congestive heart failure (CHF), coronary artery disease (CAD), diabetes mellitus, chronic obstructive pulmonary disease (COPD), and renal insufficiency substantially increase surgical risk. Each condition adds a layer of complexity and potential for complications.
  3. Urgency of Surgery: Emergency surgeries carry a significantly higher risk than elective procedures. Patients undergoing emergency operations are often critically ill, with unstable conditions that make surgical outcomes less predictable.
  4. Type and Complexity of Procedure: Different cardiac surgeries have varying risk profiles. For example, valve replacement might carry different risks than coronary artery bypass grafting (CABG), and complex multi-valve surgeries or aortic arch repairs are generally riskier.
  5. Previous Cardiac Interventions: A history of prior cardiac surgery (like CABG or valve repair) can increase risk due to scar tissue, adhesions, and potential damage to surrounding structures, making subsequent operations more challenging.
  6. Frailty and Functional Status: Beyond specific diagnoses, a patient's overall physical condition, muscle strength, and ability to perform daily activities (functional status) are critical indicators of resilience and ability to withstand the stress of surgery. Frail patients are at higher risk.
  7. Nutritional Status: Poor nutritional status can impair wound healing and increase the risk of infection and other complications post-surgery.
  8. Pulmonary Function: Lung capacity and function are vital, as patients require mechanical ventilation post-surgery and are susceptible to respiratory complications like pneumonia or prolonged ventilator dependence. Conditions like COPD significantly elevate this risk.

Frequently Asked Questions (FAQ)

Q1: What is the difference between mortality risk and morbidity risk?

A1: Mortality risk is the probability of death resulting from the surgery. Morbidity risk refers to the likelihood of experiencing significant complications, such as stroke, kidney failure, prolonged ventilation, or deep sternal wound infection, which can impact recovery and long-term health but may not be fatal.

Q2: How accurate are these cardiac surgical risk calculators?

A2: These calculators provide statistical estimates based on large patient populations. While they are valuable tools for risk stratification, they cannot predict individual outcomes with certainty. Actual risk depends on many factors, including the specific surgeon's experience and the patient's unique physiological response.

Q3: Can the risk score change over time?

A3: Yes. A patient's risk profile can change if their health status improves or deteriorates. For instance, better management of diabetes or heart failure might lower risk, while developing new conditions could increase it.

Q4: Should I base my decision to have surgery solely on the calculator's results?

A4: Absolutely not. The calculator is a decision-support tool. The final decision should be made in consultation with your cardiac surgeon and cardiologist, considering the potential benefits of the surgery against the estimated risks, as well as your personal values and goals.

Q5: What are the most common complications after cardiac surgery?

A5: Common complications can include bleeding, infection (especially sternal wound infection), arrhythmias (like atrial fibrillation), stroke, kidney injury, respiratory problems (pneumonia, prolonged ventilation), and heart attack. The specific risks depend on the procedure and patient factors.

Q6: Does the type of anesthesia affect surgical risk?

A6: While anesthesia is generally very safe, the patient's overall condition and the complexity of the surgery influence anesthetic management and potential risks. Anesthesiologists play a critical role in managing hemodynamics and ensuring patient stability throughout the procedure.

Q7: How does this calculator differ from the official STS Score?

A7: This calculator is a simplified model designed for illustrative purposes. Official scores like the STS (Society of Thoracic Surgeons) Score are based on extensive, validated datasets and complex algorithms developed by professional societies. They are generally considered more precise for clinical decision-making.

Q8: What can be done to reduce my surgical risk?

A8: Pre-operative optimization is key. This may include smoking cessation, achieving better blood sugar control for diabetics, managing blood pressure, optimizing heart failure medications, nutritional support, and pre-habilitation exercises. Your medical team will guide you on specific steps.

© 2023 Your Healthcare Analytics. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice.

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isValid = false; } else if (isNaN(age) || age 120) { setErrorMessage('age', 'Please enter a valid age (0-120).'); isValid = false; } // Add validation for other inputs if necessary, though most are select boxes // For select boxes, we assume a valid option is always selected. return isValid; } function calculateRisk() { if (!validateInputs()) { return; } var age = getInputValue('age'); var sex = getSelectValue('sex'); var chf = getSelectValue('chf'); var cad = getSelectValue('cad'); var mi = getSelectValue('mi'); var stroke = getSelectValue('stroke'); var diabetes = getSelectValue('diabetes'); var htn = getSelectValue('htn'); var renal = getSelectValue('renal'); var copd = getSelectValue('copd'); var peripheral_vasc = getSelectValue('peripheral_vasc'); var emergent = getSelectValue('emergent'); var dyspnea = getSelectValue('dyspnea'); var unplanned_reop = getSelectValue('unplanned_reop'); var endo = getSelectValue('endo'); var valvular = getSelectValue('valvular'); var asc = getSelectValue('asc'); var prior_mi_surgery = getSelectValue('prior_mi_surgery'); var prior_valve_surgery = getSelectValue('prior_valve_surgery'); var prior_cabg = getSelectValue('prior_cabg'); var prior_other_cardiac = getSelectValue('prior_other_cardiac'); var female_lt_65 = getSelectValue('female_lt_65'); var male_gt_65 = getSelectValue('male_gt_65'); var female_gt_65 = getSelectValue('female_gt_65'); var unplanned_admission = getSelectValue('unplanned_admission'); var critical_care = getSelectValue('critical_care'); var reoperation_for_bleeding = getSelectValue('reoperation_for_bleeding'); var ventilation_gt_48h = getSelectValue('ventilation_gt_48h'); var stroke_postop = getSelectValue('stroke_postop'); var renal_dialysis = getSelectValue('renal_dialysis'); var sternal_infection = getSelectValue('sternal_infection'); var reoperation_other = getSelectValue('reoperation_other'); var cardiac_arrest = getSelectValue('cardiac_arrest'); var death = getSelectValue('death'); // — Simplified Risk Calculation Logic — // This is a highly simplified model for demonstration. // Real-world risk scores (like STS) use complex logistic regression coefficients. // We'll use a point-based system for illustration. var mortalityScore = 0; var morbidityScore = 0; // Base score for age if (age >= 65) mortalityScore += (age – 65) * 0.1; if (age >= 70) morbidityScore += (age – 70) * 0.15; // Comorbidities if (chf === 1) { mortalityScore += 1.5; morbidityScore += 2.5; } if (cad === 1) { mortalityScore += 0.8; morbidityScore += 1.2; } if (mi === 1) { mortalityScore += 1.0; morbidityScore += 1.8; } if (stroke === 1) { mortalityScore += 1.2; morbidityScore += 2.0; } if (diabetes === 1) { mortalityScore += 0.7; morbidityScore += 1.3; } if (htn === 1) { mortalityScore += 0.3; morbidityScore += 0.5; } if (renal === 1) { mortalityScore += 2.0; morbidityScore += 3.0; } if (copd === 1) { mortalityScore += 1.3; morbidityScore += 2.2; } if (peripheral_vasc === 1) { mortalityScore += 1.1; morbidityScore += 1.9; } if (dyspnea === 1) { mortalityScore += 0.9; morbidityScore += 1.5; } // Surgery Type / Urgency if (emergent === 1) { mortalityScore += 3.0; morbidityScore += 4.0; } // Prior Surgeries if (prior_mi_surgery === 1) { mortalityScore += 1.0; morbidityScore += 1.5; } if (prior_valve_surgery === 1) { mortalityScore += 1.2; morbidityScore += 1.8; } if (prior_cabg === 1) { mortalityScore += 0.9; morbidityScore += 1.4; } if (prior_other_cardiac === 1) { mortalityScore += 1.5; morbidityScore += 2.0; } if (unplanned_reop === 1) { mortalityScore += 1.8; morbidityScore += 2.5; } // Specific Conditions if (endo === 1) { mortalityScore += 2.5; morbidityScore += 3.5; } if (valvular === 1) { morbidityScore += 2.0; } // Valvular disease often implies morbidity if (asc === 1) { mortalityScore += 1.5; morbidityScore += 2.5; } // Sex-based adjustments (simplified) if (sex === 1 && age > 65) morbidityScore += 0.5; // Male > 65 if (sex === 0 && age < 65) morbidityScore += 0.3; // Female 65) mortalityScore += 0.2; // Female > 65 // Post-operative events (if known pre-emptively, unlikely but for model completeness) if (unplanned_admission === 1) morbidityScore += 1.0; if (critical_care === 1) morbidityScore += 1.5; if (reoperation_for_bleeding === 1) { mortalityScore += 2.0; morbidityScore += 3.0; } if (ventilation_gt_48h === 1) morbidityScore += 2.5; if (stroke_postop === 1) { mortalityScore += 2.0; morbidityScore += 3.5; } if (renal_dialysis === 1) { mortalityScore += 2.5; morbidityScore += 3.5; } if (sternal_infection === 1) morbidityScore += 2.0; if (reoperation_other === 1) { mortalityScore += 2.0; morbidityScore += 3.0; } if (cardiac_arrest === 1) { mortalityScore += 3.0; morbidityScore += 4.0; } if (death === 1) { mortalityScore += 5.0; } // High weight if death is already a factor // Convert scores to percentages using a logistic-like transformation (simplified) // These are illustrative coefficients, not derived from real data. var mortalityRisk = 100 / (1 + Math.exp(-(0.5 + mortalityScore * 0.4))); var morbidityRisk = 100 / (1 + Math.exp(-(1.0 + morbidityScore * 0.3))); // Ensure risks are within reasonable bounds (e.g., 0 to 100) mortalityRisk = Math.max(0, Math.min(100, mortalityRisk)); morbidityRisk = Math.max(0, Math.min(100, morbidityRisk)); var compositeRisk = (mortalityRisk + morbidityRisk) / 2; // Simple average for composite document.getElementById("mortalityRisk").innerText = mortalityRisk.toFixed(2); document.getElementById("morbidityRisk").innerText = morbidityRisk.toFixed(2); document.getElementById("compositeRisk").innerText = compositeRisk.toFixed(2); document.getElementById("primaryResult").innerText = compositeRisk.toFixed(2) + "%"; document.getElementById("resultsSection").style.display = "block"; updateChart(mortalityRisk, morbidityRisk, compositeRisk); } function resetCalculator() { document.getElementById("age").value = "65"; document.getElementById("sex").value = "1"; // Male document.getElementById("chf").value = "0"; document.getElementById("cad").value = "0"; document.getElementById("mi").value = "0"; document.getElementById("stroke").value = "0"; document.getElementById("diabetes").value = "0"; document.getElementById("htn").value = "0"; document.getElementById("renal").value = "0"; document.getElementById("copd").value = "0"; document.getElementById("peripheral_vasc").value = "0"; document.getElementById("emergent").value = "0"; document.getElementById("dyspnea").value = "0"; document.getElementById("unplanned_reop").value = "0"; document.getElementById("endo").value = "0"; document.getElementById("valvular").value = "0"; document.getElementById("asc").value = "0"; document.getElementById("prior_mi_surgery").value = "0"; document.getElementById("prior_valve_surgery").value = "0"; document.getElementById("prior_cabg").value = "0"; document.getElementById("prior_other_cardiac").value = "0"; document.getElementById("female_lt_65").value = "0"; document.getElementById("male_gt_65").value = "0"; document.getElementById("female_gt_65").value = "0"; document.getElementById("unplanned_admission").value = "0"; document.getElementById("critical_care").value = "0"; document.getElementById("reoperation_for_bleeding").value = "0"; document.getElementById("ventilation_gt_48h").value = "0"; document.getElementById("stroke_postop").value = "0"; document.getElementById("renal_dialysis").value = "0"; document.getElementById("sternal_infection").value = "0"; document.getElementById("reoperation_other").value = "0"; document.getElementById("cardiac_arrest").value = "0"; document.getElementById("death").value = "0"; document.getElementById("mortalityRisk").innerText = "–"; document.getElementById("morbidityRisk").innerText = "–"; document.getElementById("compositeRisk").innerText = "–"; document.getElementById("primaryResult").innerText = "–"; document.getElementById("resultsSection").style.display = "none"; clearErrorMessages(); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function copyResults() { var mortalityRisk = document.getElementById("mortalityRisk").innerText; var morbidityRisk = document.getElementById("morbidityRisk").innerText; var compositeRisk = document.getElementById("compositeRisk").innerText; var primaryResult = document.getElementById("primaryResult").innerText; if (primaryResult === "–") { alert("Please calculate the risk first."); return; } var age = document.getElementById("age").value; var sex = document.getElementById("sex").options[document.getElementById("sex").selectedIndex].text; var chf = document.getElementById("chf").options[document.getElementById("chf").selectedIndex].text; var cad = document.getElementById("cad").options[document.getElementById("cad").selectedIndex].text; var mi = document.getElementById("mi").options[document.getElementById("mi").selectedIndex].text; var stroke = document.getElementById("stroke").options[document.getElementById("stroke").selectedIndex].text; var diabetes = document.getElementById("diabetes").options[document.getElementById("diabetes").selectedIndex].text; var htn = document.getElementById("htn").options[document.getElementById("htn").selectedIndex].text; var renal = document.getElementById("renal").options[document.getElementById("renal").selectedIndex].text; var copd = document.getElementById("copd").options[document.getElementById("copd").selectedIndex].text; var peripheral_vasc = document.getElementById("peripheral_vasc").options[document.getElementById("peripheral_vasc").selectedIndex].text; var emergent = document.getElementById("emergent").options[document.getElementById("emergent").selectedIndex].text; var dyspnea = document.getElementById("dyspnea").options[document.getElementById("dyspnea").selectedIndex].text; var unplanned_reop = document.getElementById("unplanned_reop").options[document.getElementById("unplanned_reop").selectedIndex].text; var endo = document.getElementById("endo").options[document.getElementById("endo").selectedIndex].text; var valvular = document.getElementById("valvular").options[document.getElementById("valvular").selectedIndex].text; var asc = document.getElementById("asc").options[document.getElementById("asc").selectedIndex].text; var prior_mi_surgery = document.getElementById("prior_mi_surgery").options[document.getElementById("prior_mi_surgery").selectedIndex].text; var prior_valve_surgery = document.getElementById("prior_valve_surgery").options[document.getElementById("prior_valve_surgery").selectedIndex].text; var prior_cabg = document.getElementById("prior_cabg").options[document.getElementById("prior_cabg").selectedIndex].text; var prior_other_cardiac = document.getElementById("prior_other_cardiac").options[document.getElementById("prior_other_cardiac").selectedIndex].text; var female_lt_65 = document.getElementById("female_lt_65").options[document.getElementById("female_lt_65").selectedIndex].text; var male_gt_65 = document.getElementById("male_gt_65").options[document.getElementById("male_gt_65").selectedIndex].text; var female_gt_65 = document.getElementById("female_gt_65").options[document.getElementById("female_gt_65").selectedIndex].text; var unplanned_admission = document.getElementById("unplanned_admission").options[document.getElementById("unplanned_admission").selectedIndex].text; var critical_care = document.getElementById("critical_care").options[document.getElementById("critical_care").selectedIndex].text; var reoperation_for_bleeding = document.getElementById("reoperation_for_bleeding").options[document.getElementById("reoperation_for_bleeding").selectedIndex].text; var ventilation_gt_48h = document.getElementById("ventilation_gt_48h").options[document.getElementById("ventilation_gt_48h").selectedIndex].text; var stroke_postop = document.getElementById("stroke_postop").options[document.getElementById("stroke_postop").selectedIndex].text; var renal_dialysis = document.getElementById("renal_dialysis").options[document.getElementById("renal_dialysis").selectedIndex].text; var sternal_infection = document.getElementById("sternal_infection").options[document.getElementById("sternal_infection").selectedIndex].text; var reoperation_other = document.getElementById("reoperation_other").options[document.getElementById("reoperation_other").selectedIndex].text; var cardiac_arrest = document.getElementById("cardiac_arrest").options[document.getElementById("cardiac_arrest").selectedIndex].text; var death = document.getElementById("death").options[document.getElementById("death").selectedIndex].text; var copyText = "Cardiac Surgical Risk Assessment:\n\n"; copyText += "Estimated Composite Risk: " + primaryResult + "\n"; copyText += " – Mortality Risk: " + mortalityRisk + "%\n"; copyText += " – Major Morbidity Risk: " + morbidityRisk + "%\n\n"; copyText += "Key Assumptions:\n"; copyText += " – Age: " + age + "\n"; copyText += " – Sex: " + sex + "\n"; copyText += " – CHF: " + chf + "\n"; copyText += " – CAD: " + cad + "\n"; copyText += " – Previous MI: " + mi + "\n"; copyText += " – Previous Stroke: " + stroke + "\n"; copyText += " – Diabetes: " + diabetes + "\n"; copyText += " – Hypertension: " + htn + "\n"; copyText += " – Renal Failure: " + renal + "\n"; copyText += " – COPD: " + copd + "\n"; copyText += " – Peripheral Vascular Disease: " + peripheral_vasc + "\n"; copyText += " – Emergent Surgery: " + emergent + "\n"; copyText += " – Dyspnea: " + dyspnea + "\n"; copyText += " – Unplanned Reoperation: " + unplanned_reop + "\n"; copyText += " – Endocarditis: " + endo + "\n"; copyText += " – Valvular Heart Disease: " + valvular + "\n"; copyText += " – Ascending Aorta Aneurysm: " + asc + "\n"; copyText += " – Prior MI Surgery: " + prior_mi_surgery + "\n"; copyText += " – Prior Valve Surgery: " + prior_valve_surgery + "\n"; copyText += " – Prior CABG: " + prior_cabg + "\n"; copyText += " – Prior Other Cardiac Surgery: " + prior_other_cardiac + "\n"; copyText += " – Female 65 Years: " + male_gt_65 + "\n"; copyText += " – Female > 65 Years: " + female_gt_65 + "\n"; copyText += " – Unplanned Admission: " + unplanned_admission + "\n"; copyText += " – Critical Care Unit Admission: " + critical_care + "\n"; copyText += " – Reoperation for Bleeding: " + reoperation_for_bleeding + "\n"; copyText += " – Ventilation > 48 Hours: " + ventilation_gt_48h + "\n"; copyText += " – Postoperative Stroke: " + stroke_postop + "\n"; copyText += " – Postoperative Renal Dialysis: " + renal_dialysis + "\n"; copyText += " – Sternal Infection: " + sternal_infection + "\n"; copyText += " – Reoperation (Other): " + reoperation_other + "\n"; copyText += " – Cardiac Arrest: " + cardiac_arrest + "\n"; copyText += " – Death: " + death + "\n"; try { navigator.clipboard.writeText(copyText).then(function() { alert("Results copied to clipboard!"); }, function(err) { console.error("Could not copy text: ", err); prompt("Copy this text manually:", copyText); }); } catch (e) { console.error("Clipboard API not available: ", e); prompt("Copy this text manually:", copyText); } } function updateChart(mortality, morbidity, composite) { var ctx = document.getElementById('riskChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'bar', data: { labels: ['Mortality Risk', 'Morbidity Risk', 'Composite Risk'], datasets: [{ label: 'Estimated Risk (%)', data: [mortality, morbidity, composite], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Mortality 'rgba(54, 162, 235, 0.6)', // Morbidity 'rgba(255, 206, 86, 0.6)' // Composite ], borderColor: [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)', 'rgba(255, 206, 86, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100, title: { display: true, text: 'Risk Percentage (%)' } } }, plugins: { legend: { display: false // Hide legend as labels are on the bars }, title: { display: true, text: 'Cardiac Surgical Risk Breakdown' } } } }); } // Initial calculation on load if default values are set document.addEventListener('DOMContentLoaded', function() { // Optionally trigger calculation with default values // calculateRisk(); });

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