In vitro fertilization (IVF) success is influenced by a complex interplay of biological factors. While no calculator can provide a 100% guarantee, our tool uses clinical data trends from organizations like SART and the CDC to estimate the probability of a live birth per embryo transfer cycle.
Key Factors Influencing Your IVF Outcome
Maternal Age: This is the single most significant predictor of IVF success. As women age, both the quantity and chromosomal quality of eggs tend to decline, particularly after the age of 35.
Infertility Diagnosis: Conditions like PCOS often result in a higher egg yield, which can increase the chances of having viable embryos for transfer. Conversely, Diminished Ovarian Reserve or severe Endometriosis can present more significant challenges.
Obstetric History: Women who have previously given birth (especially via natural conception or prior IVF) typically have a higher statistical probability of success in subsequent IVF cycles.
BMI: Research indicates that a Body Mass Index within the "normal" range (18.5 to 24.9) is associated with better response to stimulation medications and higher implantation rates.
Realistic Example Scenarios
Example 1: A 31-year-old woman with unexplained infertility and a healthy BMI, undergoing her first cycle, might see an estimated success rate of 50% to 55% per transfer.
Example 2: A 41-year-old woman with a history of one previous live birth but dealing with diminished ovarian reserve may see an estimated success rate of 10% to 15% per cycle using her own eggs.
Improving Your Chances
Success rates can often be improved through lifestyle adjustments such as quitting smoking, reducing alcohol consumption, and optimizing prenatal nutrition. Additionally, advanced techniques like PGT-A (Preimplantation Genetic Testing for Aneuploidies) can help select the most viable embryos, potentially increasing the success rate per transfer regardless of maternal age.
function calculateIVFSuccess() {
var age = parseFloat(document.getElementById('ivfAge').value);
var bmi = parseFloat(document.getElementById('ivfBMI').value);
var diagnosis = document.getElementById('ivfDiagnosis').value;
var births = document.getElementById('ivfBirths').value;
var cycles = document.getElementById('ivfCycles').value;
if (isNaN(age) || age 50) {
alert("Please enter a valid age between 18 and 50.");
return;
}
// Base rate based on age (SART/CDC Averages)
var baseRate = 0;
if (age = 35 && age = 38 && age = 41 && age 30 || bmi < 18.5) {
baseRate -= 5;
}
// Diagnosis Adjustments
if (diagnosis === "pcos") {
baseRate += 3;
} else if (diagnosis === "endometriosis") {
baseRate -= 4;
} else if (diagnosis === "diminished") {
baseRate -= 10;
} else if (diagnosis === "male") {
baseRate -= 2;
}
// Previous Birth Adjustments
if (births === "1") {
baseRate += 6;
}
// Prior Cycles Adjustments
if (cycles === "1") {
baseRate -= 2;
} else if (cycles === "2") {
baseRate -= 5;
} else if (cycles === "3") {
baseRate -= 8;
}
// Safety floor and ceiling
if (baseRate 75) baseRate = 75;
// Display Result
var resultDiv = document.getElementById('ivfResult');
var percentDiv = document.getElementById('ivfPercent');
var explanationDiv = document.getElementById('ivfExplanation');
resultDiv.style.display = "block";
percentDiv.innerHTML = baseRate.toFixed(1) + "%";
var message = "Based on an age of " + age + " and the provided medical history, your estimated success rate per embryo transfer is approximately " + baseRate.toFixed(1) + "%. ";
message += "Note that this is an estimate. Clinical outcomes depend heavily on egg quality, sperm quality, and clinic-specific protocols.";
explanationDiv.innerHTML = message;
// Scroll to result
resultDiv.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
}