Weight Percentile Calculator Fetus

Fetal Weight Percentile Calculator — Understand Your Baby's Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: var(–text-color); background-color: var(–background-color); margin: 0; padding: 20px; display: flex; justify-content: center; flex-direction: column; align-items: center; } .container { max-width: 1000px; width: 100%; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); margin-bottom: 30px; } header { text-align: center; margin-bottom: 30px; border-bottom: 1px solid var(–border-color); padding-bottom: 20px; } header h1 { color: var(–primary-color); margin-bottom: 10px; } header p { font-size: 1.1em; color: #555; } .loan-calc-container { background-color: var(–background-color); padding: 25px; border-radius: 8px; margin-bottom: 30px; 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Fetal Weight Percentile Calculator

Estimate your baby's growth percentile based on ultrasound measurements.

Fetal Weight & Percentile Calculator

Enter the age of the pregnancy in completed weeks (e.g., 28 for 28 weeks).
Enter the baby's weight in grams (g) as measured by ultrasound.

Your Baby's Growth Assessment

Z-Score
Mean Weight (g)
Standard Deviation (g)
Formula Used: Fetal weight percentile is calculated by comparing the Estimated Fetal Weight (EFW) to population-specific reference curves based on gestational age. The Z-score quantifies how many standard deviations the EFW is from the mean weight for that gestational age. The percentile is then derived from the Z-score using a standard normal distribution.

Simplified Calculation:
  1. Calculate Z-score: Z = (EFW – Mean Weight) / Standard Deviation
  2. Determine Percentile from Z-score using a standard normal distribution table or function.
(Note: Actual calculations often use complex statistical models and curve fitting for greater accuracy across different gestational ages.)

Fetal Weight Growth Curve

Estimated Fetal Weight relative to typical growth curve.
Gestational Age (Weeks) Mean Weight (g) Standard Deviation (g) 3rd Percentile (g) 50th Percentile (g) 97th Percentile (g)
Approximate fetal weight reference data. Actual data may vary by population and study.

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What is a Fetal Weight Percentile?

A fetal weight percentile is a way to measure your baby's size during pregnancy. It compares your baby's estimated weight, usually determined through ultrasound scans, to the average weight of other babies at the same stage of pregnancy. For instance, if your baby is in the 70th percentile for weight, it means their estimated weight is greater than 70% of babies at the same gestational age and smaller than 30%.

This measurement is a crucial part of prenatal care, providing valuable insights into fetal development and well-being. It helps healthcare providers identify potential growth concerns, such as Intrauterine Growth Restriction (IUGR) or macrosomia (a baby significantly larger than average), allowing for timely interventions if necessary.

Who Should Use a Fetal Weight Percentile Calculator?

This calculator is primarily designed for expectant parents and healthcare professionals. Expectant parents can use it to gain a better understanding of their baby's growth trajectory between prenatal appointments. Healthcare providers, including obstetricians, midwives, and sonographers, rely on these calculations as part of their routine assessment of fetal well-being.

Common Misconceptions about Fetal Weight Percentiles:

  • Percentiles Determine Health: A baby being in a low or high percentile doesn't automatically mean there's a health problem. Many factors influence fetal growth. The trend over time and individual circumstances are more important than a single percentile reading.
  • Perfectly Accurate Measurements: Ultrasound estimates of fetal weight have a margin of error. Percentiles are estimations based on these estimates.
  • A Race to be Biggest: There's no "ideal" percentile. Both high and low percentiles have ranges considered normal. The key is consistent, appropriate growth for the individual baby.
  • Only for Complicated Pregnancies: While particularly useful in high-risk pregnancies, understanding fetal weight percentile is beneficial for all expectant parents.

{primary_keyword} Formula and Mathematical Explanation

The calculation of a fetal weight percentile is rooted in statistical analysis, comparing an individual baby's estimated fetal weight (EFW) against a reference population. While the exact formulas used in clinical settings can be complex, often involving curve-fitting algorithms tailored to specific population data, the underlying principle can be understood through Z-scores and standard deviations.

The Core Concept: Z-Score

The Z-score is a statistical measure that tells you how many standard deviations away from the mean your baby's EFW is for a given gestational age. A positive Z-score means the baby is heavier than average, while a negative Z-score means the baby is lighter than average.

The formula for the Z-score is:

Z = (EFW – Mean Weight) / Standard Deviation

From Z-Score to Percentile

Once the Z-score is calculated, it's used to find the corresponding percentile. This involves using a standard normal distribution table (also known as a Z-table) or a statistical function. The Z-table shows the probability (or area under the curve) to the left of a given Z-score, which directly corresponds to the percentile rank.

For example:

  • A Z-score of 0 corresponds to the 50th percentile (the average).
  • A Z-score of approximately 1.645 corresponds to the 95th percentile.
  • A Z-score of approximately -1.645 corresponds to the 5th percentile.

Simplified Calculation in Practice:

Our calculator uses simplified, widely accepted reference curves to estimate the Mean Weight and Standard Deviation for the provided Gestational Age. It then applies the Z-score formula and determines the percentile.

Variables Table

Variable Meaning Unit Typical Range
Gestational Age (GA) Age of the pregnancy in completed weeks. Weeks 20 – 40+ weeks
Estimated Fetal Weight (EFW) Baby's weight estimated via ultrasound. Grams (g) Varies greatly with GA
Mean Weight Average EFW for a specific GA in the reference population. Grams (g) Varies greatly with GA
Standard Deviation (SD) A measure of the spread or variability of EFW for a specific GA. Grams (g) Varies with GA; typically smaller in early stages.
Z-Score Number of standard deviations EFW is from the mean. Unitless -3 to +3 (commonly)
Percentile The percentage of babies with EFW less than or equal to the baby's EFW at the same GA. % 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: Average Growth

Scenario: An expectant parent is at 30 weeks of gestation. An ultrasound estimates the baby's weight at 1500 grams.

Inputs:

  • Gestational Age: 30 weeks
  • Estimated Fetal Weight (EFW): 1500 g

Calculator Output:

  • Estimated Percentile: ~55th percentile
  • Z-Score: ~0.12
  • Mean Weight at 30 weeks: ~1450 g
  • Standard Deviation at 30 weeks: ~100 g

Interpretation: The baby's estimated weight is slightly above average for 30 weeks gestation. This falls well within the normal range and suggests consistent, healthy growth. No immediate concerns are indicated by this single measurement.

Example 2: Potential Concerns

Scenario: A woman is at 36 weeks of gestation. An ultrasound estimates her baby's weight at 2200 grams. Her doctor is monitoring her closely due to previous concerns about fetal growth.

Inputs:

  • Gestational Age: 36 weeks
  • Estimated Fetal Weight (EFW): 2200 g

Calculator Output:

  • Estimated Percentile: ~8th percentile
  • Z-Score: ~-1.40
  • Mean Weight at 36 weeks: ~2700 g
  • Standard Deviation at 36 weeks: ~350 g

Interpretation: The baby's estimated weight is significantly below the average for 36 weeks gestation, placing them in the lower percentile range. This could indicate Intrauterine Growth Restriction (IUGR) or simply that the baby is naturally constitutionally small. Further investigation by the healthcare provider is warranted to assess fetal well-being and determine the cause and appropriate management plan. The trend of previous measurements would be crucial here.

How to Use This Fetal Weight Percentile Calculator

Our Fetal Weight Percentile Calculator is designed for ease of use, providing quick insights into your baby's growth.

  1. Enter Gestational Age: Input the number of completed weeks of pregnancy. For example, if you are 28 weeks and 4 days pregnant, enter '28'.
  2. Enter Estimated Fetal Weight (EFW): Input the baby's weight in grams (g) as provided by your latest ultrasound report.
  3. Click Calculate: Press the "Calculate Percentile" button.

How to Read Results:

  • Main Result (Percentile): This is the primary output, indicating where your baby's EFW falls relative to other babies at the same gestational age. For example, the 50th percentile is the median (average).
  • Z-Score: Shows how many standard deviations your baby's EFW is from the mean. Useful for clinicians.
  • Mean Weight & Standard Deviation: These provide context about the typical weight and the variability for the given gestational age.
  • Reference Table: Shows approximate values for different percentiles at various gestational ages. This helps visualize the normal growth range.
  • Growth Chart: Visually plots your baby's EFW against a typical growth curve, showing their position relative to the 3rd, 50th, and 97th percentiles.

Decision-Making Guidance:

Remember, this calculator is an informational tool, not a diagnostic one. The results should *always* be discussed with your healthcare provider. They will consider the percentile in conjunction with other factors, such as:

  • The baby's growth trend over multiple ultrasounds.
  • Your individual health history and risk factors.
  • Amniotic fluid levels.
  • Blood flow to the placenta and baby (Doppler studies).
  • The baby's anatomy and well-being.

Your provider will use this comprehensive picture to guide any necessary decisions regarding your pregnancy care.

Key Factors That Affect {primary_keyword} Results

Several factors influence a fetus's growth and, consequently, its weight percentile. Understanding these can help interpret the results:

  1. Genetics: Just as some adults are naturally taller or shorter, babies inherit genetic potential for size from their parents. This is a primary driver of a baby's potential final size.
  2. Maternal Health and Nutrition: The mother's overall health, including her diet and nutritional intake, directly impacts nutrient supply to the fetus. Conditions like diabetes can lead to larger babies (macrosomia), while poor nutrition or certain chronic illnesses might restrict growth.
  3. Placental Function: The placenta is the lifeline between mother and baby, supplying oxygen and nutrients. If the placenta isn't functioning optimally (placental insufficiency), fetal growth can be significantly slowed, leading to a lower weight percentile.
  4. Gestational Diabetes: Uncontrolled gestational diabetes can cause the fetus to receive excess glucose, leading to accelerated growth and a higher estimated fetal weight, often resulting in a high percentile.
  5. Maternal Conditions: Chronic conditions in the mother, such as high blood pressure, kidney disease, or certain infections, can sometimes affect fetal growth. Conversely, conditions like hyperthyroidism can sometimes be associated with faster fetal growth.
  6. Uterine Environment: The size and shape of the uterus, as well as the amount of amniotic fluid, can play a role. Conditions like oligohydramnios (low amniotic fluid) might be associated with restricted growth.
  7. Fetal Chromosomal or Genetic Abnormalities: Certain genetic conditions can affect the baby's growth rate, leading to a percentile that is significantly lower or higher than expected.
  8. Multiple Gestations: Twins, triplets, or more fetuses often share resources, which can impact individual growth rates and result in lower percentiles for each baby compared to a singleton pregnancy, though their relative growth should still be monitored.

Frequently Asked Questions (FAQ)

Is a low fetal weight percentile always a problem?
Not necessarily. A low percentile can simply mean the baby is constitutionally small, like some parents are. However, it can also be an indicator of Intrauterine Growth Restriction (IUGR), which requires medical evaluation to ensure the baby is receiving adequate nutrients and oxygen. Your doctor will assess the trend and other factors.
What is the difference between fetal weight percentile and estimated fetal weight (EFW)?
EFW is the actual estimated weight of the baby in grams (or pounds/ounces) calculated from ultrasound measurements. The percentile is a ranking that compares that EFW to the average EFW of other babies at the same stage of pregnancy.
How accurate are ultrasound weight estimations?
Ultrasound estimations are generally quite accurate, but they do have a margin of error, typically ranging from 10-15%. This means the actual birth weight can differ from the EFW. The accuracy can also depend on factors like the baby's position, the amount of amniotic fluid, and the skill of the sonographer.
Can I influence my baby's weight percentile?
Focusing on a healthy lifestyle is key. This includes a balanced diet, appropriate weight gain during pregnancy, managing any existing medical conditions, and avoiding harmful substances like smoking or excessive alcohol. Your healthcare provider can offer specific dietary and lifestyle advice tailored to your pregnancy.
What happens if my baby is consistently in a high percentile?
A consistently high percentile might suggest macrosomia (a baby significantly larger than average). This can sometimes increase the risk of complications during delivery, such as shoulder dystocia. Your doctor will monitor the growth closely and may discuss delivery options or interventions if necessary.
Do different calculators use different formulas?
Yes, while the core statistical principles are the same, the reference data (population curves) used can vary slightly between calculators. This is because fetal growth can differ based on ethnicity, geography, and the specific studies used to create the reference charts. Always discuss results with your healthcare provider for personalized context.
When is the fetal weight percentile typically assessed?
Fetal weight estimation and percentile assessment are usually done during routine anatomy scans (around 18-22 weeks) and then again in the third trimester (typically 28-36 weeks) or more frequently if there are concerns about growth.
Is there a "normal" range for fetal weight percentiles?
Generally, percentiles between the 10th and 90th are considered within the typical range for fetal growth. However, clinicians often view percentiles between the 3rd and 97th as acceptable, with deviations outside this range warranting closer attention. The trend over time is often more important than a single reading.

Related Tools and Internal Resources

// Placeholder data for reference curves – In a real application, these would be more comprehensive and potentially loaded dynamically. // This is a simplified representation. Real-world curves are often polynomial fits. var referenceData = [ { weeks: 20, mean: 300, sd: 40, p3: 230, p50: 300, p97: 400 }, { weeks: 21, mean: 370, sd: 50, p3: 270, p50: 370, p97: 500 }, { weeks: 22, mean: 440, sd: 60, p3: 320, p50: 440, p97: 600 }, { weeks: 23, mean: 510, sd: 70, p3: 370, p50: 510, p97: 700 }, { weeks: 24, mean: 590, sd: 80, p3: 420, p50: 590, p97: 800 }, { weeks: 25, mean: 670, sd: 90, p3: 470, p50: 670, p97: 900 }, { weeks: 26, mean: 750, sd: 100, p3: 520, p50: 750, p97: 1000 }, { weeks: 27, mean: 840, sd: 110, p3: 580, p50: 840, p97: 1100 }, { weeks: 28, mean: 930, sd: 120, p3: 640, p50: 930, p97: 1200 }, { weeks: 29, mean: 1020, sd: 130, p3: 700, p50: 1020, p97: 1300 }, { weeks: 30, mean: 1110, sd: 140, p3: 760, p50: 1110, p97: 1400 }, { weeks: 31, mean: 1200, sd: 150, p3: 820, p50: 1200, p97: 1500 }, { weeks: 32, mean: 1300, sd: 160, p3: 880, p50: 1300, p97: 1600 }, { weeks: 33, mean: 1400, sd: 170, p3: 940, p50: 1400, p97: 1700 }, { weeks: 34, mean: 1500, sd: 180, p3: 1000, p50: 1500, p97: 1800 }, { weeks: 35, mean: 1600, sd: 190, p3: 1060, p50: 1600, p97: 1900 }, { weeks: 36, mean: 1700, sd: 200, p3: 1120, p50: 1700, p97: 2000 }, { weeks: 37, mean: 1800, sd: 210, p3: 1180, p50: 1800, p97: 2100 }, { weeks: 38, mean: 1900, sd: 220, p3: 1240, p50: 1900, p97: 2200 }, { weeks: 39, mean: 2000, sd: 230, p3: 1300, p50: 2000, p97: 2300 }, { weeks: 40, mean: 2100, sd: 240, p3: 1360, p50: 2100, p97: 2400 }, { weeks: 41, mean: 2150, sd: 245, p3: 1380, p50: 2150, p97: 2450 }, { weeks: 42, mean: 2200, sd: 250, p3: 1400, p50: 2200, p97: 2500 } ]; var chartInstance = null; // To hold the chart instance function getReferenceValues(gestationalAge) { if (gestationalAge referenceData[referenceData.length – 1].weeks) return referenceData[referenceData.length – 1]; var lowerIndex = 0; for (var i = 0; i < referenceData.length; i++) { if (referenceData[i].weeks = 0 ? erf : -erf)); return cdf; } function calculatePercentile() { var gestationalAge = parseFloat(document.getElementById("gestationalAge").value); var estimatedFetalWeight = parseFloat(document.getElementById("estimatedFetalWeight").value); // Reset errors document.getElementById("gestationalAgeError").style.display = 'none'; document.getElementById("estimatedFetalWeightError").style.display = 'none'; document.getElementById("results").style.display = 'none'; var isValid = true; if (isNaN(gestationalAge) || gestationalAge <= 0) { document.getElementById("gestationalAgeError").textContent = "Please enter a valid gestational age (in weeks)."; document.getElementById("gestationalAgeError").style.display = 'block'; isValid = false; } else if (gestationalAge 42) { document.getElementById("gestationalAgeError").textContent = "Gestational age should typically be between 15 and 42 weeks."; document.getElementById("gestationalAgeError").style.display = 'block'; isValid = false; } if (isNaN(estimatedFetalWeight) || estimatedFetalWeight <= 0) { document.getElementById("estimatedFetalWeightError").textContent = "Please enter a valid estimated fetal weight (in grams)."; document.getElementById("estimatedFetalWeightError").style.display = 'block'; isValid = false; } if (!isValid) { return; } var refValues = getReferenceValues(gestationalAge); var meanWeight = refValues.mean; var stdDev = refValues.sd; var zScore = (estimatedFetalWeight – meanWeight) / stdDev; var percentile = calculateNormalCDF(zScore) * 100; // Ensure percentile is within 0-100 range percentile = Math.max(0, Math.min(100, percentile)); document.getElementById("zScore").textContent = zScore.toFixed(2); document.getElementById("meanWeight").textContent = meanWeight.toFixed(0); document.getElementById("stdDev").textContent = stdDev.toFixed(0); var mainResultText = percentile.toFixed(1) + "th Percentile"; if (percentile 97) mainResultText += " (High)"; document.getElementById("mainResult").textContent = mainResultText; document.getElementById("results").style.display = 'block'; updateTable(gestationalAge); updateChart(gestationalAge, estimatedFetalWeight, meanWeight, stdDev, percentile); } function resetCalculator() { document.getElementById("gestationalAge").value = "28"; document.getElementById("estimatedFetalWeight").value = "1200"; document.getElementById("gestationalAgeError").style.display = 'none'; document.getElementById("estimatedFetalWeightError").style.display = 'none'; document.getElementById("results").style.display = 'none'; document.getElementById("mainResult").textContent = "–"; document.getElementById("zScore").textContent = "–"; document.getElementById("meanWeight").textContent = "–"; document.getElementById("stdDev").textContent = "–"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } populateTable([]); // Clear table } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var zScore = document.getElementById("zScore").textContent; var meanWeight = document.getElementById("meanWeight").textContent; var stdDev = document.getElementById("stdDev").textContent; var gestationalAge = document.getElementById("gestationalAge").value; var estimatedFetalWeight = document.getElementById("estimatedFetalWeight").value; if (mainResult === "–") { alert("No results to copy yet. Please calculate first."); return; } var assumptions = "Assumptions:\n"; assumptions += "- Gestational Age: " + gestationalAge + " weeks\n"; assumptions += "- Estimated Fetal Weight: " + estimatedFetalWeight + " g\n"; assumptions += "- Reference Data Used: Standard Growth Curves\n"; var resultsText = "Fetal Growth Assessment:\n"; resultsText += "————————\n"; resultsText += "Result: " + mainResult + "\n"; resultsText += "Z-Score: " + zScore + "\n"; resultsText += "Mean Weight for GA: " + meanWeight + " g\n"; resultsText += "Standard Deviation for GA: " + stdDev + " g\n"; resultsText += "\n" + assumptions; try { navigator.clipboard.writeText(resultsText).then(function() { // Optionally show a success message alert("Results copied to clipboard!"); }, function(err) { console.error('Could not copy text: ', err); // Fallback for older browsers or environments where clipboard API is restricted var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { document.execCommand('copy'); alert("Results copied to clipboard!"); } catch (e) { alert("Failed to copy results. Please copy manually."); } document.body.removeChild(textArea); }); } catch (e) { console.error('Clipboard API not available or permission denied: ', e); alert("Clipboard API not available. Please copy results manually from the Results section."); } } function updateTable(currentGA = null) { var tableBody = document.getElementById("tableBody"); tableBody.innerHTML = ""; // Clear previous rows // Display a range of weeks around the current GA, plus endpoints var weeksToShow = [20, 24, 28, 30, 32, 34, 36, 38, 40, 42]; if (currentGA) { // Add currentGA if it's not already in the list and within range if (currentGA >= 20 && currentGA <= 42 && !weeksToShow.includes(currentGA)) { weeksToShow.push(currentGA); weeksToShow.sort(function(a, b){return a-b}); } } weeksToShow.forEach(function(weeks) { var ref = getReferenceValues(weeks); var row = tableBody.insertRow(); row.insertCell(0).textContent = ref.weeks; row.insertCell(1).textContent = ref.mean.toFixed(0); row.insertCell(2).textContent = ref.sd.toFixed(0); row.insertCell(3).textContent = ref.p3.toFixed(0); row.insertCell(4).textContent = ref.p50.toFixed(0); row.insertCell(5).textContent = ref.p97.toFixed(0); }); } function updateChart(gestationalAge, efw, mean, sd, percentile) { var ctx = document.getElementById('weightGrowthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for the chart var labels = []; var meanData = []; var p3Data = []; var p97Data = []; // Generate data points for the chart across a relevant range var startWeek = Math.max(15, Math.min(gestationalAge – 5, 20)); var endWeek = Math.min(42, Math.max(gestationalAge + 5, 35)); for (var week = startWeek; week { if (parseInt(labels[index]) === gestationalAge) { return efw; } return null; }), borderColor: 'rgba(255, 159, 64, 1)', // Orange backgroundColor: 'rgba(255, 159, 64, 0.2)', pointRadius: 6, pointHoverRadius: 8, fill: false, tension: 0, // Straight line for single point borderWidth: 2 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, ticks: { autoSkip: true, maxTicksLimit: 15 // Limit number of x-axis labels for readability } }, y: { title: { display: true, text: 'Estimated Fetal Weight (grams)' }, ticks: { // Format ticks to avoid scientific notation for large numbers if needed callback: function(value, index, values) { if (value === Math.floor(value)) { return value.toLocaleString(); // Use locale formatting } } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toLocaleString() + ' g'; } return label; } } }, legend: { position: 'top', } } } }); } // Add event listener for FAQ toggles document.addEventListener('DOMContentLoaded', function() { var faqs = document.querySelectorAll('.faq-item .question'); faqs.forEach(function(faq) { faq.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); // Initial calculations and setup on page load updateTable(); calculatePercentile(); // Run calculation with default values });

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