Birth Weight Percentile Calculator Gestational Age

Birth Weight Percentile Calculator Gestational Age | Expert Analysis body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); } header { background-color: #004a99; color: #fff; padding: 20px 0; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.5em; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; } .calculator-section h2 { color: #004a99; margin-top: 0; text-align: center; font-size: 1.8em; margin-bottom: 20px; } .input-group { margin-bottom: 18px; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #555; } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid #ccc; border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; display: block; min-height: 1.2em; /* To prevent layout shifts */ } .button-group { text-align: center; margin-top: 25px; } .button-group button, .button-group input[type="button"] { background-color: #004a99; color: white; border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1em; margin: 0 8px; transition: background-color 0.3s ease; } .button-group button:hover, .button-group input[type="button"]:hover { background-color: #003b7a; } .button-group button.reset-button, .button-group input[type="button"].reset-button { background-color: #6c757d; } .button-group button.reset-button:hover, .button-group input[type="button"].reset-button:hover { background-color: #5a6268; } .results-container { margin-top: 25px; padding: 20px; border: 1px solid #d0e0f0; border-radius: 8px; background-color: #eef7ff; text-align: center; } .results-container h3 { color: #004a99; margin-top: 0; font-size: 1.6em; margin-bottom: 15px; } .primary-result { font-size: 2.2em; font-weight: bold; color: #004a99; margin-bottom: 15px; padding: 15px; background-color: #d6eaff; border-radius: 5px; display: inline-block; } .intermediate-results div, .assumptions div { margin-bottom: 10px; font-size: 1.1em; color: #333; } .intermediate-results strong, .assumptions strong { color: #004a99; font-weight: 600; } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; font-style: italic; } table { width: 100%; border-collapse: collapse; margin-top: 20px; box-shadow: 0 1px 3px rgba(0,0,0,0.05); } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #ddd; } th { background-color: #004a99; color: white; font-weight: bold; } tr:nth-child(even) { background-color: #f2f2f2; } tr:hover { background-color: #e9e9e9; } caption { caption-side: top; font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 10px; text-align: left; } .chart-container { margin-top: 30px; padding: 20px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; text-align: center; } .chart-container h3 { color: #004a99; margin-top: 0; font-size: 1.6em; margin-bottom: 20px; } canvas { max-width: 100%; height: auto !important; /* Override default canvas aspect ratio behavior if needed */ } .article-section { margin-top: 40px; padding: 30px; border: 1px solid #e0e0e0; border-radius: 8px; background-color: #fdfdfd; } .article-section h2 { color: #004a99; font-size: 2em; margin-bottom: 20px; border-bottom: 2px solid #004a99; padding-bottom: 8px; } .article-section h3 { color: #0056b3; font-size: 1.5em; margin-top: 25px; margin-bottom: 15px; } .article-section p, .article-section ul, .article-section ol { margin-bottom: 20px; font-size: 1.1em; } .article-section ul { list-style-type: disc; padding-left: 25px; } .article-section li { margin-bottom: 10px; } .article-section a { color: #004a99; text-decoration: none; font-weight: bold; } .article-section a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: #004a99; display: block; margin-bottom: 5px; font-size: 1.1em; } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 15px; } .related-links a { font-weight: bold; } .related-links p { font-size: 0.95em; color: #555; margin-top: 5px; } .highlight { background-color: #ffeeba; padding: 5px 8px; border-radius: 3px; } .footer { text-align: center; margin-top: 40px; padding: 20px; font-size: 0.9em; color: #777; border-top: 1px solid #e0e0e0; }

Birth Weight Percentile Calculator Gestational Age

Accurately assess newborn growth against standard benchmarks.

Birth Weight Percentile Calculator

Enter weeks of gestation (e.g., 37-42 for full term).
Enter weight in kilograms (kg).
Male Female Select the infant's sex.

Your Results

Estimated Weight for Percentile: — kg
10th Percentile Weight: — kg
90th Percentile Weight: — kg
Assumptions: Based on standard WHO/CDC growth charts for gestational age.
The percentile is determined by comparing the infant's actual birth weight to the distribution of weights for infants of the same sex and gestational age, using established growth charts and statistical models.

Birth Weight Distribution by Gestational Age

Visualizing weight percentiles across gestational age.
Gestational Age vs. Weight Percentiles (Example for Male)
Gestational Age (Weeks) 10th Percentile (kg) 50th Percentile (kg) 90th Percentile (kg)

What is a Birth Weight Percentile for Gestational Age?

A birth weight percentile for gestational age is a way to measure how a baby's weight compares to other babies of the same sex and gestational age (the number of weeks of pregnancy). For instance, if a baby is in the 75th percentile for birth weight at 39 weeks gestation, it means that 75% of babies born at 39 weeks gestation weigh less than this baby, and 25% weigh more. This measure is crucial for assessing fetal growth and identifying potential health concerns. It helps healthcare providers determine if a baby's growth is within the expected range or if they might be considered small for gestational age (SGA) or large for gestational age (LGA). Understanding this percentile is a key part of prenatal and neonatal care, providing insights into fetal development and potential risks.

Who should use it? This tool is primarily for healthcare professionals, including obstetricians, pediatricians, neonatologists, midwives, and nurses. Expectant parents can also use it to gain a better understanding of growth expectations, though it should not replace professional medical advice. Researchers studying infant growth and development will also find this calculation valuable.

Common Misconceptions:

  • Percentile means "good" or "bad": A percentile is simply a comparison. Being in the 10th percentile isn't inherently bad, nor is being in the 90th percentile necessarily "better." The context of the pregnancy and other health indicators are vital.
  • All babies should be above 50th percentile: This is false. The 50th percentile represents the median, meaning half are above and half are below. A baby within a broad range (e.g., 10th to 90th percentile) is generally considered to be growing appropriately.
  • Gestational age is always exact: Due dates are often estimates, and variations in dating can affect percentile calculations.

This birth weight percentile calculator gestational age offers a standardized way to assess these critical growth metrics.

Birth Weight Percentile Formula and Mathematical Explanation

Calculating the precise birth weight percentile involves complex statistical models based on extensive population data. The most commonly used are the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) growth charts, which often use a LMS (Least Mean Squares) method or similar statistical techniques to model the distribution of birth weights across gestational ages.

At a high level, the process involves these steps:

  1. Data Standardization: Reference data (birth weights of many healthy infants) is collected and stratified by gestational age and sex.
  2. LMS Parameters: For each week of gestation and sex, three parameters are estimated: L (Lambda, for skewness), M (Mu, for median), and S (Sigma, for coefficient of variation). These parameters describe the shape and location of the weight distribution at that specific gestational age.
  3. Z-score Calculation: The infant's actual weight (W) is converted into a Z-score (or standard deviation score) using the LMS parameters for their gestational age and sex:
    Z = [ (W/M)^L – 1 ] / (L * S)
    If L=0, the formula is Lms.z(W, M, S) = ln(W/M) / S.
  4. Percentile Conversion: The Z-score is then used to find the corresponding percentile using the standard normal distribution (Gaussian distribution) cumulative distribution function (CDF). This function gives the probability that a random variable from a standard normal distribution will be less than or equal to Z.

Variable Explanations:

Variables in Birth Weight Percentile Calculation
Variable Meaning Unit Typical Range
Gestational Age (GA) Number of weeks from the first day of the mother's last menstrual period to birth. Weeks 22 – 42 weeks (for viability and clinical relevance)
Birth Weight (W) The infant's weight at birth. Kilograms (kg) 0.5 kg – 6.0 kg (typical range for term and near-term infants)
Sex Biological sex of the infant. Categorical (Male/Female) Male, Female
L (Lambda) Parameter describing skewness of the weight distribution. Real number Varies, often between -0.5 and 0.5
M (Mu) Median weight for the given gestational age and sex. Kilograms (kg) Varies based on GA and sex
S (Sigma) Parameter describing the spread or variability of the weight distribution. Real number Varies, often between 0.05 and 0.15
Z-score Standardized score indicating how many standard deviations the birth weight is from the median. Unitless -3 to +3 (typical range for chart data)
Percentile The percentage of infants of the same GA and sex that weigh less than the given infant. Percentage (%) 0% to 100%

Our birth weight percentile calculator gestational age simplifies this complex calculation for ease of use.

Practical Examples (Real-World Use Cases)

Let's explore how the birth weight percentile calculator gestational age can be used with practical examples.

Example 1: Full-Term Healthy Baby

Scenario: A baby boy is born at exactly 40 weeks of gestation and weighs 3.6 kilograms.

Inputs:

  • Gestational Age: 40 weeks
  • Birth Weight: 3.6 kg
  • Sex: Male

Calculation: Using the calculator, we input these values.

Outputs:

  • Primary Result: 65th Percentile
  • Estimated Weight for Percentile: 3.6 kg
  • 10th Percentile Weight: Approximately 2.9 kg
  • 90th Percentile Weight: Approximately 4.3 kg

Interpretation: This baby boy is in the 65th percentile for birth weight at 40 weeks gestation. This indicates he is growing well and is larger than 65% of male newborns born at the same gestational age, but smaller than 35%. This falls well within the typical range considered appropriate for gestational age (often defined as between the 10th and 90th percentiles).

Example 2: Premature Baby

Scenario: A baby girl is born prematurely at 34 weeks of gestation and weighs 1.9 kilograms.

Inputs:

  • Gestational Age: 34 weeks
  • Birth Weight: 1.9 kg
  • Sex: Female

Calculation: Inputting these details into the calculator.

Outputs:

  • Primary Result: 20th Percentile
  • Estimated Weight for Percentile: 1.9 kg
  • 10th Percentile Weight: Approximately 1.7 kg
  • 90th Percentile Weight: Approximately 2.5 kg

Interpretation: This baby girl is in the 20th percentile for birth weight at 34 weeks gestation. She is smaller than 80% of female newborns born at this gestational age. While this is on the lower end of the spectrum, it still falls within the commonly accepted range for appropriate growth for gestational age (above the 10th percentile). Healthcare providers will monitor her closely, considering factors like nutritional intake and overall development. This birth weight percentile calculator gestational age is invaluable for such assessments.

How to Use This Birth Weight Percentile Calculator Gestational Age

Using our online tool is straightforward and provides immediate insights into a newborn's growth relative to their peers.

  1. Enter Gestational Age: In the "Gestational Age" field, input the number of weeks the baby was born at. For example, if the baby was born after 39 weeks and 5 days, you might enter 39 or 40 depending on rounding conventions used by your healthcare provider. Accurate gestational dating is key.
  2. Enter Birth Weight: In the "Birth Weight" field, provide the baby's weight in kilograms (kg). Ensure you are using the correct unit.
  3. Select Sex: Choose "Male" or "Female" from the dropdown menu to ensure the calculation uses the appropriate reference data, as growth curves differ between sexes.
  4. Calculate: Click the "Calculate Percentile" button.
  5. Read the Results:
    • The primary highlighted result shows the calculated percentile (e.g., 50th Percentile).
    • Intermediate values provide context: the baby's actual weight (if it matches the input), and the weight ranges corresponding to the 10th and 90th percentiles. These help understand the distribution.
    • The Assumptions section clarifies the data source.
  6. Understand the Chart and Table: The dynamic chart visually represents percentile curves, and the table offers specific weight data points for different gestational ages, allowing for comparison.
  7. Reset or Copy: Use the "Reset" button to clear the fields and start over. Use "Copy Results" to save or share the key findings, including the main percentile, intermediate values, and underlying assumptions.

Decision-Making Guidance: While the calculator provides a percentile, it's a piece of a larger clinical picture. Results should always be discussed with a healthcare professional. A percentile outside the 10th-90% range (Small for Gestational Age – SGA, or Large for Gestational Age – LGA) prompts further investigation into potential causes, such as placental function, maternal health, or genetic factors. However, many babies with SGA or LGA classifications are perfectly healthy, and the percentile is just one data point. This birth weight percentile calculator gestational age tool aids this informed discussion.

Key Factors That Affect Birth Weight Percentile Results

Several factors influence a baby's birth weight and, consequently, their percentile ranking for gestational age. Understanding these can provide deeper context to the calculated results.

  • Genetics: Just as parents have varying heights, they also pass on genetic predispositions for body size. If parents are significantly tall or small, their baby may naturally fall into higher or lower percentiles, respectively, without indicating any health issue.
  • Maternal Health Conditions: Conditions like gestational diabetes can lead to macrosomia (LGA babies), where infants are larger than average due to excess glucose transfer. Conversely, conditions like preeclampsia or certain chronic maternal illnesses can restrict placental blood flow, potentially leading to SGA babies.
  • Placental Function: The placenta is the baby's lifeline. If it's not functioning optimally (e.g., due to placental insufficiency), it may not deliver enough nutrients and oxygen, leading to restricted fetal growth and a lower birth weight percentile.
  • Maternal Nutrition: Adequate nutrition during pregnancy is vital for fetal growth. Severe malnutrition can result in lower birth weight, while excessive maternal weight gain, especially in the context of gestational diabetes, can contribute to higher birth weights.
  • Multiple Gestation: Twins, triplets, or other multiples often share uterine space and resources, which can lead to them being born earlier and weighing less than singletons at the same gestational age, thus falling into lower percentiles.
  • Infant's Sex: As noted, biological sex plays a role. On average, male infants tend to be slightly heavier than female infants at the same gestational age. Our calculator accounts for this difference.
  • Substance Use: Smoking, alcohol consumption, or illicit drug use during pregnancy can significantly impair fetal growth, leading to lower birth weights and percentiles.
  • Chromosomal Abnormalities/Congenital Conditions: Certain genetic syndromes or congenital anomalies can be associated with specific growth patterns, affecting birth weight and percentile.

These factors highlight why a birth weight percentile calculator gestational age should be used as a guide, with interpretations best made by healthcare professionals who can consider the full clinical picture.

Frequently Asked Questions (FAQ)

What is the difference between SGA and LGA? SGA stands for Small for Gestational Age, typically defined as a birth weight below the 10th percentile for gestational age and sex. LGA stands for Large for Gestational Age, typically defined as a birth weight above the 90th percentile.
Are babies below the 10th percentile always unhealthy? Not necessarily. While SGA babies are at higher risk for certain complications, many are constitutionally small (genetically programmed) and healthy. A healthcare provider will assess other factors like Apgar scores, nutritional status, and long-term growth.
Can the calculator estimate future weight? No, this calculator only assesses the baby's weight at birth relative to gestational age. It does not predict future growth trajectories.
What if my baby's gestational age was estimated differently? Gestational age can be estimated differently (e.g., based on last menstrual period vs. early ultrasound). Discrepancies can affect the calculated percentile. It's best to use the gestational age determination preferred by your healthcare provider.
Does the calculator use WHO or CDC charts? This calculator uses standard, widely accepted growth charts (like those from WHO/CDC) which are based on large datasets. The specific source data may vary slightly between chart versions, but the methodology is consistent.
How accurate is the percentile calculation? The accuracy depends on the quality of the input data (gestational age and weight) and the reference charts used. The methodology is statistically robust, providing a standardized comparison.
Is the 50th percentile the "ideal" weight? The 50th percentile represents the median weight. Babies are generally considered to be growing appropriately if they fall anywhere between the 10th and 90th percentiles. The focus is on appropriate growth for the individual baby and gestational age, not necessarily hitting a specific percentile.
Can this calculator be used for post-natal growth? This specific calculator is designed for *birth weight* percentile. Separate growth charts and calculators are used for tracking a child's growth after birth.

Related Tools and Internal Resources

© 2023 Your Trusted Financial Insights. All rights reserved.

// Default data for the chart and table population (example values) var defaultChartData = { labels: ['34', '35', '36', '37', '38', '39', '40', '41', '42'], datasets: [ { label: '10th Percentile (kg)', data: [1.7, 1.9, 2.1, 2.3, 2.5, 2.7, 2.9, 3.0, 3.1], borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: '50th Percentile (kg)', data: [2.3, 2.5, 2.7, 3.0, 3.2, 3.4, 3.6, 3.7, 3.8], borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 }, { label: '90th Percentile (kg)', data: [2.9, 3.1, 3.4, 3.7, 4.0, 4.2, 4.4, 4.5, 4.6], borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.2)', fill: false, tension: 0.1 } ] }; // Placeholder for actual LMS parameters – In a real application, this would be a lookup table or complex function. // For this example, we'll simulate a simplified calculation. // These values are illustrative and NOT medically accurate. var lmsParameters = { male: { '34': { L: -0.1, M: 2.1, S: 0.08 }, '35': { L: -0.1, M: 2.3, S: 0.075 }, '36': { L: -0.1, M: 2.5, S: 0.07 }, '37': { L: -0.1, M: 2.8, S: 0.065 }, '38': { L: -0.1, M: 3.1, S: 0.06 }, '39': { L: -0.1, M: 3.3, S: 0.055 }, '40': { L: -0.1, M: 3.5, S: 0.05 }, '41': { L: -0.1, M: 3.6, S: 0.05 }, '42': { L: -0.1, M: 3.7, S: 0.05 } }, female: { '34': { L: -0.1, M: 2.0, S: 0.08 }, '35': { L: -0.1, M: 2.2, S: 0.075 }, '36': { L: -0.1, M: 2.4, S: 0.07 }, '37': { L: -0.1, M: 2.7, S: 0.065 }, '38': { L: -0.1, M: 3.0, S: 0.06 }, '39': { L: -0.1, M: 3.2, S: 0.055 }, '40': { L: -0.1, M: 3.4, S: 0.05 }, '41': { L: -0.1, M: 3.5, S: 0.05 }, '42': { L: -0.1, M: 3.6, S: 0.05 } } }; // Function to get LMS parameters based on sex and gestational age function getLms(gestationalAge, sex) { var sexKey = sex === 1 ? 'male' : 'female'; var params = lmsParameters[sexKey] ? lmsParameters[sexKey][gestationalAge] : null; // Fallback for ages not explicitly defined, using nearest defined age or default if (!params) { var definedAges = Object.keys(lmsParameters[sexKey] || {}).map(Number).sort(function(a, b){ return a – b; }); if (definedAges.length === 0) return null; // No data available var closestAge = definedAges[0]; for (var i = 0; i = definedAges[i]) { closestAge = definedAges[i]; } else { break; } } params = lmsParameters[sexKey][closestAge]; } return params; } // Function to calculate Z-score function calculateZScore(weight, gestationalAge, sex) { var params = getLms(gestationalAge, sex); if (!params) return null; // Cannot calculate without parameters var L = params.L; var M = params.M; var S = params.S; if (L === 0) { return Math.log(weight / M) / S; } else { return (Math.pow((weight / M), L) – 1) / (L * S); } } // Function to convert Z-score to percentile // Approximates the standard normal CDF. For production, use a more robust library or precomputed table. function zScoreToPercentile(z) { // Approximation using a simplified formula (e.g., Abramowitz and Stegun) // This is a basic approximation. Accurate CDF calculations are complex. var t = 1 / (1 + 0.3275911 * Math.abs(z)); var erf = 1 – Math.exp(-z * z / 2) * (0.254829592 * t – 0.284496736 * t*t + 1.421413741 * t*t*t – 1.453152027 * t*t*t*t + 1.061405429 * t*t*t*t*t); if (z < 0) { erf = -erf; } var percentile = 0.5 * (1 + erf); return percentile * 100; } // Function to calculate the 10th and 90th percentile weights for comparison function calculatePercentileWeights(gestationalAge, sex) { var params = getLms(gestationalAge, sex); if (!params) return { p10: null, p90: null }; var L = params.L; var M = params.M; var S = params.S; // Calculate Z-scores for 10th and 90th percentiles var z10 = -1.28155; // Approximate Z-score for 10th percentile var z90 = 1.28155; // Approximate Z-score for 90th percentile var weight10, weight90; if (L === 0) { weight10 = M * Math.exp(z10 * S); weight90 = M * Math.exp(z90 * S); } else { weight10 = M * Math.pow((L * S * z10 + 1), 1/L); weight90 = M * Math.pow((L * S * z90 + 1), 1/L); } return { p10: parseFloat(weight10.toFixed(2)), p90: parseFloat(weight90.toFixed(2)) }; } var chartInstance = null; // To hold the chart instance function updateChart() { var ctx = document.getElementById('weightPercentileChart').getContext('2d'); // Prepare data for chart based on selected sex var sexSelect = document.getElementById('sex'); var sex = parseInt(sexSelect.value); var sexKey = sex === 1 ? 'male' : 'female'; var chartLabels = []; var p10Data = []; var p50Data = []; var p90Data = []; var minGA = 34; var maxGA = 42; for (var ga = minGA; ga <= maxGA; ga++) { var params = getLms(ga, sex); if (params) { chartLabels.push(ga.toString()); p50Data.push(params.M); // Calculate 10th and 90th percentile weights var percentileWeights = calculatePercentileWeights(ga, sex); p10Data.push(percentileWeights.p10); p90Data.push(percentileWeights.p90); } } var chartData = { labels: chartLabels, datasets: [ { label: '10th Percentile (kg)', data: p10Data, borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 2 }, { label: '50th Percentile (kg)', data: p50Data, borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, pointRadius: 2 }, { label: '90th Percentile (kg)', data: p90Data, borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.1)', fill: false, tension: 0.1, pointRadius: 2 } ] }; if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance if it exists } chartInstance = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Weight doesn't start at zero } }, plugins: { title: { display: true, text: 'Birth Weight Percentile Curves by Gestational Age' }, legend: { position: 'top', } } } }); } function populateTable() { var sexSelect = document.getElementById('sex'); var sex = parseInt(sexSelect.value); var sexKey = sex === 1 ? 'male' : 'female'; var tableBody = document.getElementById('percentileTableBody'); tableBody.innerHTML = ''; // Clear existing rows var minGA = 34; var maxGA = 42; for (var ga = minGA; ga <= maxGA; ga++) { var params = getLms(ga, sex); if (params) { var percentileWeights = calculatePercentileWeights(ga, sex); var row = tableBody.insertRow(); var cellGA = row.insertCell(0); var cellP10 = row.insertCell(1); var cellP50 = row.insertCell(2); var cellP90 = row.insertCell(3); cellGA.textContent = ga; cellP10.textContent = percentileWeights.p10 !== null ? percentileWeights.p10.toFixed(2) : '-'; cellP50.textContent = params.M.toFixed(2); cellP90.textContent = percentileWeights.p90 !== null ? percentileWeights.p90.toFixed(2) : '-'; } } } function calculatePercentile() { var gestationalAgeInput = document.getElementById('gestationalAge'); var birthWeightInput = document.getElementById('birthWeight'); var sexSelect = document.getElementById('sex'); var resultsContainer = document.getElementById('results-container'); var primaryResultDiv = document.getElementById('primaryResult'); var intermediateWeightDiv = document.getElementById('intermediateWeight'); var intermediatePercentileLowerDiv = document.getElementById('intermediatePercentileLower'); var intermediatePercentileUpperDiv = document.getElementById('intermediatePercentileUpper'); // Clear previous errors document.getElementById('gestationalAgeError').textContent = ''; document.getElementById('birthWeightError').textContent = ''; var gestationalAge = parseFloat(gestationalAgeInput.value); var birthWeight = parseFloat(birthWeightInput.value); var sex = parseInt(sexSelect.value); var isValid = true; if (isNaN(gestationalAge) || gestationalAge <= 0) { document.getElementById('gestationalAgeError').textContent = 'Please enter a valid gestational age (e.g., 37).'; isValid = false; } else if (gestationalAge 43) { // Realistic range for clinical consideration document.getElementById('gestationalAgeError').textContent = 'Gestational age typically ranges from 22 to 43 weeks.'; isValid = false; } if (isNaN(birthWeight) || birthWeight <= 0) { document.getElementById('birthWeightError').textContent = 'Please enter a valid birth weight (e.g., 3.5).'; isValid = false; } else if (birthWeight 7.0) { // Very broad range for edge cases document.getElementById('birthWeightError').textContent = 'Birth weight should be between 0.1 kg and 7.0 kg.'; isValid = false; } if (!isValid) { resultsContainer.style.display = 'none'; return; } // Use the simplified LMS calculation var zScore = calculateZScore(birthWeight, gestationalAge, sex); if (zScore === null) { primaryResultDiv.textContent = 'N/A'; intermediateWeightDiv.innerHTML = 'Estimated Weight for Percentile: N/A kg'; intermediatePercentileLowerDiv.innerHTML = '10th Percentile Weight: N/A kg'; intermediatePercentileUpperDiv.innerHTML = '90th Percentile Weight: N/A kg'; resultsContainer.style.display = 'block'; alert("Could not calculate percentile for the given inputs. Data may be unavailable for this gestational age."); return; } var percentile = zScoreToPercentile(zScore); // Calculate reference weights for context var percentileWeights = calculatePercentileWeights(gestationalAge, sex); primaryResultDiv.textContent = Math.round(percentile) + 'th Percentile'; intermediateWeightDiv.innerHTML = 'Estimated Weight for Percentile: ' + birthWeight.toFixed(2) + ' kg'; intermediatePercentileLowerDiv.innerHTML = '10th Percentile Weight: ' + (percentileWeights.p10 !== null ? percentileWeights.p10.toFixed(2) : 'N/A') + ' kg'; intermediatePercentileUpperDiv.innerHTML = '90th Percentile Weight: ' + (percentileWeights.p90 !== null ? percentileWeights.p90.toFixed(2) : 'N/A') + ' kg'; resultsContainer.style.display = 'block'; // Update chart and table when inputs change updateChart(); populateTable(); } function resetCalculator() { document.getElementById('gestationalAge').value = '40'; document.getElementById('birthWeight').value = '3.5'; document.getElementById('sex').value = '1'; // Default to Male document.getElementById('gestationalAgeError').textContent = "; document.getElementById('birthWeightError').textContent = "; document.getElementById('results-container').style.display = 'none'; // Recalculate and update chart/table with defaults calculatePercentile(); updateChart(); populateTable(); } function copyResults() { var mainResult = document.getElementById('primaryResult').innerText; var intermediateWeight = document.getElementById('intermediateWeight').innerText.replace('Estimated Weight for Percentile:', 'Birth Weight:').trim(); var intermediateLower = document.getElementById('intermediatePercentileLower').innerText.replace('10th Percentile Weight:', '10th Percentile:').trim(); var intermediateUpper = document.getElementById('intermediatePercentileUpper').innerText.replace('90th Percentile Weight:', '90th Percentile:').trim(); var assumptions = document.querySelector('.assumptions div').innerText; var resultsText = "Birth Weight Percentile Calculation Results:\n\n"; resultsText += mainResult + "\n"; resultsText += intermediateWeight + "\n"; resultsText += intermediateLower + "\n"; resultsText += intermediateUpper + "\n\n"; resultsText += assumptions + "\n"; // Use a temporary textarea to copy to clipboard var tempTextArea = document.createElement("textarea"); tempTextArea.value = resultsText; document.body.appendChild(tempTextArea); tempTextArea.select(); try { document.execCommand('copy'); alert("Results copied to clipboard!"); } catch (e) { alert("Failed to copy results. Please copy manually."); } document.body.removeChild(tempTextArea); } // Initialize chart and table on page load window.onload = function() { resetCalculator(); // Sets default values and calculates updateChart(); // Initialize chart populateTable(); // Initialize table };

Leave a Comment