Calculate Birth Weight for Gestational Age

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Calculate Birth Weight for Gestational Age

Expert Tool and Comprehensive Guide

Birth Weight for Gestational Age Calculator

Enter the completed weeks of pregnancy (e.g., 39 for 39 weeks).
Male Female Select the sex of the infant.
White Black Hispanic Asian Other Select the maternal ethnicity for more accurate estimation.

Your Estimated Birth Weight

Estimated Percentile:
Growth Classification:
Reference Weight (50th Percentile):
Formula Basis: This calculator uses statistical models derived from large population studies (like INTERGROWTH-21st or similar standards) to estimate birth weight based on gestational age, sex, and maternal ethnicity. These models provide a reference curve, and your result is placed on this curve to determine percentile and classification.
Results copied to clipboard!
Birth Weight Percentile Table
Gestational Age (Weeks) Sex Ethnicity 50th Percentile (g) 10th Percentile (g) 90th Percentile (g)
Birth Weight Growth Chart

What is Birth Weight for Gestational Age?

Birth weight for gestational age refers to the measurement of a newborn's weight in relation to how many weeks they have been developing in the womb. It's a critical indicator of fetal well-being and helps healthcare providers assess whether a baby's growth is within the expected range for their duration of pregnancy. Understanding this relationship is vital for identifying potential health risks for both the infant and the mother.

This metric is crucial because babies grow at different rates throughout pregnancy. A baby born at 37 weeks will naturally weigh less than a baby born at 40 weeks. Therefore, simply looking at the raw birth weight isn't enough; it must be interpreted in the context of the gestational age. This allows for a more accurate assessment of the baby's health and development.

Who Should Use It?

This calculation and the underlying data are primarily used by:

  • Healthcare Professionals: Obstetricians, neonatologists, pediatricians, and nurses use these assessments to monitor fetal growth, identify potential complications like Intrauterine Growth Restriction (IUGR) or macrosomia (excessively large baby), and plan appropriate care for newborns.
  • Expecting Parents: While not a diagnostic tool for parents, understanding the concept can help them engage more effectively with their healthcare providers and comprehend the assessments made during prenatal check-ups.
  • Researchers: Epidemiologists and medical researchers use birth weight for gestational age data to study trends in fetal growth, identify risk factors, and evaluate the effectiveness of interventions.

Common Misconceptions

  • "Bigger is always better": This is a significant misconception. While adequate growth is essential, excessively large babies (macrosomia) can face complications during delivery and may be at higher risk for certain health issues later in life, such as obesity and diabetes.
  • "It's just a number": Birth weight relative to gestational age is a powerful predictor of short-term and long-term health outcomes. Deviations from the norm can signal underlying issues that require medical attention.
  • "All babies of the same gestation weigh the same": There is a natural range of weights for any given gestational age. The percentile system accounts for this variation, indicating where a baby falls within the expected range.

Birth Weight for Gestational Age Formula and Mathematical Explanation

The calculation of birth weight for gestational age isn't a single, simple formula like calculating area. Instead, it relies on complex statistical models and reference charts derived from extensive population data. These models, often based on standards like the WHO growth charts or INTERGROWTH-21st Project, plot the expected weight range for each week of gestation, often differentiating by sex and sometimes ethnicity.

The core idea is to compare an individual baby's weight to the distribution of weights for babies born at the same gestational age. This comparison is typically expressed as a percentile.

The Process:

  1. Data Collection: Large datasets of birth weights are collected from healthy pregnancies across various gestational ages.
  2. Model Fitting: Statistical techniques (like LMS methods – Lambda, Mu, Sigma) are used to model the median (50th percentile), the variability (e.g., 3rd/97th or 10th/90th percentiles), and the overall distribution of weights for each week of gestation, often stratified by sex and other factors.
  3. Calculation: When a baby's data (weight, gestational age, sex, ethnicity) is entered, the model determines where that baby's weight falls on the established curve for their specific gestational age and sex.

Variables and Interpretation:

  • Gestational Age (GA): The duration of the pregnancy, usually measured in weeks from the first day of the last menstrual period. This is the primary determinant of expected fetal size.
  • Birth Weight (BW): The actual weight of the newborn, typically measured in grams (g) or pounds (lbs).
  • Sex: Male infants tend to be slightly larger on average than female infants at term.
  • Maternal Ethnicity: Studies have shown variations in average fetal growth patterns among different ethnic groups, which can influence reference curves.
  • Estimated Percentile: This indicates the percentage of babies of the same gestational age and sex who weigh *less* than the infant in question. For example, the 75th percentile means the baby weighs more than 75% of infants of the same GA and sex.
  • Growth Classification: Based on the percentile, infants are classified:
    • AGA (Appropriate for Gestational Age): Typically between the 10th and 90th percentile.
    • SGA (Small for Gestational Age): Below the 10th percentile.
    • LGA (Large for Gestational Age): Above the 90th percentile.
  • Reference Weight (50th Percentile): This is the median weight for a baby of that specific gestational age, sex, and ethnicity. It represents the "average" expected weight.

Variables Table:

Key Variables in Birth Weight Assessment
Variable Meaning Unit Typical Range (Term Infant)
Gestational Age (GA) Duration of pregnancy Weeks 20 – 42 weeks (Full term: 37-42 weeks)
Birth Weight (BW) Infant's weight at birth Grams (g) ~2500g to ~4500g (for term infants)
Sex Biological sex of the infant Categorical Male / Female
Maternal Ethnicity Self-identified ethnicity of the mother Categorical White, Black, Hispanic, Asian, Other
Percentile Percentage of infants weighing less % 0 – 100%
Growth Classification Categorization based on percentile Categorical SGA (90%)

Practical Examples (Real-World Use Cases)

Let's illustrate how the birth weight for gestational age calculator works with practical scenarios.

Example 1: Full-Term Healthy Baby

Scenario: A baby girl is born after a pregnancy of exactly 40 weeks. Her mother is of White ethnicity. The baby weighs 3500 grams.

Inputs:

  • Gestational Age: 40 weeks
  • Sex: Female
  • Maternal Ethnicity: White
  • (Implicitly, the calculator uses the baby's actual weight to find the percentile, but for demonstration, we'll see what the calculator *predicts* as the 50th percentile and then interpret the baby's actual weight.)

Calculator Output (Hypothetical based on typical charts):

  • Estimated 50th Percentile Weight: ~3400g
  • Estimated 10th Percentile Weight: ~2900g
  • Estimated 90th Percentile Weight: ~4100g
  • Baby's Actual Weight: 3500g
  • Calculated Percentile for 3500g: ~55th Percentile
  • Growth Classification: AGA (Appropriate for Gestational Age)

Interpretation: This baby girl's weight of 3500g is appropriate for her gestational age of 40 weeks. She falls within the expected range (10th-90th percentile), indicating healthy growth during pregnancy according to standard reference data for White females at term.

Example 2: Potential Growth Concern

Scenario: A baby boy is born at 36 weeks gestation. His mother is of Black ethnicity. The baby weighs 2200 grams.

Inputs:

  • Gestational Age: 36 weeks
  • Sex: Male
  • Maternal Ethnicity: Black

Calculator Output (Hypothetical based on typical charts):

  • Estimated 50th Percentile Weight: ~2700g
  • Estimated 10th Percentile Weight: ~2100g
  • Estimated 90th Percentile Weight: ~3400g
  • Baby's Actual Weight: 2200g
  • Calculated Percentile for 2200g: ~12th Percentile
  • Growth Classification: AGA (borderline SGA)

Interpretation: This baby boy's weight of 2200g at 36 weeks is slightly below the typical range, falling just above the 10th percentile. While still classified as AGA (Appropriate for Gestational Age), being close to the SGA threshold warrants closer monitoring by healthcare providers. Factors like placental function, maternal health, and genetics would be considered. If the weight were below 2100g (less than the 10th percentile), he would be classified as SGA (Small for Gestational Age), prompting further investigation into potential causes of restricted growth.

How to Use This Birth Weight for Gestational Age Calculator

Our calculator provides a quick and easy way to estimate a baby's expected birth weight range and classification based on key factors. Follow these simple steps:

  1. Enter Gestational Age: Input the number of completed weeks of pregnancy. For example, if the baby is 39 weeks and 4 days pregnant, enter '39'.
  2. Select Infant Sex: Choose 'Male' or 'Female' from the dropdown menu.
  3. Select Maternal Ethnicity: Choose the mother's ethnicity from the dropdown. This helps refine the estimate based on population data.
  4. Click 'Calculate': Press the calculate button.

How to Read Results:

  • Estimated Birth Weight (50th Percentile): This is the average expected weight for a baby with your entered parameters.
  • Estimated Percentile: This shows where the baby's *actual* weight (if you were to input it, or based on typical growth curves) would fall compared to others of the same gestational age, sex, and ethnicity. A higher percentile means a heavier baby relative to the norm.
  • Growth Classification: This categorizes the baby's growth:
    • AGA (Appropriate for Gestational Age): Within the typical range (usually 10th-90th percentile).
    • SGA (Small for Gestational Age): Lower than expected weight (<10th percentile).
    • LGA (Large for Gestational Age): Higher than expected weight (>90th percentile).
  • Reference Table & Chart: The table and chart provide visual and tabular data showing weight ranges across different gestational ages, helping you contextualize the results.

Decision-Making Guidance:

Disclaimer: This calculator is for informational purposes only and does not replace professional medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to pregnancy or infant care.

  • If AGA: Generally indicates healthy fetal growth. Continue with regular prenatal care.
  • If SGA: May suggest potential issues affecting fetal growth. Discuss with your doctor about further monitoring, potential causes (e.g., placental insufficiency, maternal health conditions, genetic factors), and management strategies.
  • If LGA: May indicate a larger-than-average baby. Discuss potential delivery complications (e.g., shoulder dystocia) and risks like neonatal hypoglycemia with your doctor. Gestational diabetes screening is often recommended.

Use the 'Copy Results' button to easily share the calculated information with your healthcare provider or save it for your records.

Key Factors That Affect Birth Weight for Gestational Age Results

While gestational age, sex, and ethnicity are primary inputs for estimation, numerous other factors significantly influence a baby's actual birth weight. Understanding these can provide a more complete picture:

  1. Maternal Nutrition: Adequate intake of calories, protein, vitamins (like folic acid), and minerals (like iron) is crucial for fetal growth. Malnutrition can lead to SGA, while excessive weight gain in pregnancy, sometimes linked to poor dietary choices, can contribute to LGA.
  2. Maternal Health Conditions: Chronic conditions like hypertension, diabetes, kidney disease, or infections during pregnancy can impair fetal growth. Gestational diabetes, in particular, is strongly linked to LGA babies due to increased glucose transfer to the fetus.
  3. Placental Function: The placenta is the lifeline for the fetus, providing oxygen and nutrients. Conditions like placental insufficiency (where the placenta doesn't develop or function adequately) are a common cause of SGA.
  4. Genetics: Parental size plays a role. If both parents are naturally tall and slender, their baby might be constitutionally smaller but still appropriate for their genetic potential, even if below the 10th percentile on general charts. Conversely, parents with larger body frames may have babies who are constitutionally larger (LGA).
  5. Substance Use: Smoking, alcohol consumption, and illicit drug use during pregnancy are strongly associated with restricted fetal growth and lower birth weights (SGA). Smoking, for instance, reduces blood flow to the placenta.
  6. Previous Birth History: A history of delivering SGA or LGA babies can sometimes indicate underlying maternal or placental factors that might influence future pregnancies.
  7. Multiple Gestations: Twins, triplets, or more babies often share resources and space, leading to lower birth weights for each individual compared to singleton pregnancies, even at the same gestational age.
  8. Socioeconomic Factors: Access to prenatal care, nutrition, and a safe environment can be influenced by socioeconomic status, indirectly affecting fetal growth outcomes.

Frequently Asked Questions (FAQ)

Q1: How accurate is the birth weight for gestational age calculator?

A: The calculator provides an *estimate* based on statistical models and averages. Actual birth weights can vary due to numerous individual factors. It's a tool for understanding typical ranges, not a precise prediction of a specific baby's weight.

Q2: What is the difference between SGA and preterm?

A: Preterm refers to babies born *before* 37 completed weeks of gestation. SGA (Small for Gestational Age) refers to a baby whose weight is below the 10th percentile for their specific gestational age, regardless of whether they are preterm or term. A baby can be both preterm and SGA, preterm and AGA, term and SGA, or term and AGA/LGA.

Q3: Does maternal ethnicity really affect birth weight?

A: Yes, population studies show statistically significant differences in average fetal growth patterns among different ethnic groups. Incorporating this factor helps refine the percentile calculation based on the most relevant reference data.

Q4: My baby was calculated as SGA. Should I be worried?

A: Being classified as SGA doesn't automatically mean there's a problem, but it does warrant attention from healthcare providers. They will consider the percentile, the rate of growth, and other clinical factors to determine if further investigation or intervention is needed. Many SGA babies do well with appropriate monitoring.

Q5: Can I use this calculator to predict my baby's weight before birth?

A: This calculator is primarily designed for *actual* birth weight assessment. While ultrasound estimates can provide a weight prediction during pregnancy, they have margins of error. This tool is best used after birth or to understand expected ranges based on GA.

Q6: What are the long-term implications of being SGA or LGA?

A: SGA babies may have an increased risk of certain health issues in childhood and adulthood, including developmental delays, learning difficulties, and metabolic syndrome (obesity, type 2 diabetes, cardiovascular disease) later in life – a concept known as the developmental origins of health and disease (DOHaD). LGA babies may face risks related to birth complications and are also at higher risk for childhood obesity and metabolic issues.

Q7: How is gestational age determined?

A: Gestational age is typically calculated from the first day of the mother's last menstrual period (LMP). Early pregnancy ultrasounds, especially between 8-12 weeks, can provide a more accurate measurement of fetal size to confirm or adjust the estimated due date.

Q8: Does the calculator account for premature babies born before 20 weeks?

A: Most standard growth charts and calculators, including this one, focus on gestational ages from around 20 weeks onwards, as viability and significant growth typically occur after this point. Calculations for extremely premature infants may use specialized charts.

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This calculator and information are for educational purposes only and do not constitute medical advice. Consult with a healthcare professional for any health concerns.

var gestationalAgeInput = document.getElementById('gestationalAge'); var sexInput = document.getElementById('sex'); var ethnicityInput = document.getElementById('ethnicity'); var mainResultDiv = document.querySelector('.main-result'); var estimatedPercentileDiv = document.getElementById('estimatedPercentile'); var growthClassificationDiv = document.getElementById('growthClassification'); var referenceWeightDiv = document.getElementById('referenceWeight'); var percentileTableBody = document.querySelector('#percentileTable tbody'); var chartCanvas = document.getElementById('growthChart'); var chartInstance = null; var copySuccessMessage = document.getElementById('copySuccess'); // Mock data for growth curves (simplified for demonstration) // In a real application, this would be much more complex, potentially using LMS parameters var growthData = { male: { white: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [250, 550, 950, 1500, 2200, 2800, 3200, 3400, 3500, 3600], // 50th percentile (grams) p10: [180, 400, 700, 1100, 1600, 2100, 2500, 2700, 2800, 2900], // 10th percentile (grams) p90: [350, 800, 1400, 2100, 3000, 3700, 4200, 4400, 4500, 4600] // 90th percentile (grams) }, black: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [260, 580, 1000, 1550, 2300, 2900, 3300, 3500, 3600, 3700], p10: [190, 420, 750, 1150, 1700, 2200, 2600, 2800, 2900, 3000], p90: [360, 850, 1450, 2200, 3100, 3800, 4300, 4500, 4600, 4700] }, hispanic: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [255, 560, 970, 1520, 2250, 2850, 3250, 3450, 3550, 3650], p10: [185, 410, 720, 1120, 1650, 2150, 2550, 2750, 2850, 2950], p90: [355, 820, 1420, 2150, 3050, 3750, 4250, 4450, 4550, 4650] }, asian: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [240, 520, 900, 1400, 2000, 2500, 2900, 3100, 3200, 3300], p10: [170, 380, 650, 1000, 1400, 1800, 2100, 2300, 2400, 2500], p90: [330, 700, 1200, 1800, 2700, 3300, 3700, 3900, 4000, 4100] }, other: { // Default/average weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [250, 550, 950, 1500, 2200, 2800, 3200, 3400, 3500, 3600], p10: [180, 400, 700, 1100, 1600, 2100, 2500, 2700, 2800, 2900], p90: [350, 800, 1400, 2100, 3000, 3700, 4200, 4400, 4500, 4600] } }, female: { white: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [240, 520, 900, 1400, 2000, 2500, 2900, 3100, 3200, 3300], // 50th percentile (grams) p10: [170, 380, 650, 1000, 1400, 1800, 2100, 2300, 2400, 2500], // 10th percentile (grams) p90: [330, 700, 1200, 1800, 2700, 3300, 3700, 3900, 4000, 4100] // 90th percentile (grams) }, black: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [250, 550, 950, 1500, 2200, 2800, 3200, 3400, 3500, 3600], p10: [180, 400, 700, 1100, 1600, 2100, 2500, 2700, 2800, 2900], p90: [350, 800, 1400, 2100, 3000, 3700, 4200, 4400, 4500, 4600] }, hispanic: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [245, 530, 920, 1450, 2100, 2600, 3000, 3200, 3300, 3400], p10: [175, 390, 670, 1050, 1500, 1900, 2200, 2400, 2500, 2600], p90: [340, 750, 1300, 2000, 2800, 3400, 3800, 4000, 4100, 4200] }, asian: { weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [230, 500, 850, 1300, 1900, 2400, 2800, 3000, 3100, 3200], p10: [160, 360, 600, 900, 1300, 1700, 2000, 2200, 2300, 2400], p90: [310, 650, 1100, 1700, 2500, 3100, 3500, 3700, 3800, 3900] }, other: { // Default/average weeks: [20, 24, 28, 32, 36, 38, 39, 40, 41, 42], median: [240, 520, 900, 1400, 2000, 2500, 2900, 3100, 3200, 3300], p10: [170, 380, 650, 1000, 1400, 1800, 2100, 2300, 2400, 2500], p90: [330, 700, 1200, 1800, 2700, 3300, 3700, 3900, 4000, 4100] } } }; // Function to get data based on inputs function getGrowthCurve(ga, sex, ethnicity) { var sexData = growthData[sex]; if (!sexData) sexData = growthData['male']; // Fallback var ethnicityData = sexData[ethnicity]; if (!ethnicityData) ethnicityData = sexData['other']; // Fallback return ethnicityData; } // Function to interpolate values between data points function interpolate(x, x0, y0, x1, y1) { if (x0 === x1) return y0; // Avoid division by zero return y0 + (x – x0) * (y1 – y0) / (x1 – x0); } // Function to find percentile and classification function calculatePercentileAndClassification(weight, ga, sex, ethnicity) { var curve = getGrowthCurve(ga, sex, ethnicity); var weeks = curve.weeks; var median = curve.median; var p10 = curve.p10; var p90 = curve.p90; var currentWeekIndex = weeks.indexOf(ga); var percentile = '–'; var classification = '–'; var referenceWeight = '–'; if (currentWeekIndex !== -1) { referenceWeight = median[currentWeekIndex]; var currentP10 = p10[currentWeekIndex]; var currentP90 = p90[currentWeekIndex]; if (weight currentP90) { percentile = 90 + Math.round(((weight – currentP90) / (4600 – currentP90)) * 10); // Simplified estimation above p90 if (percentile > 100) percentile = 100; // Cap at 100 } else { // Interpolate within the 10-90 range var rangeP10P90 = currentP90 – currentP10; var rangeWeight = weight – currentP10; var rangePercentile = rangeWeight / rangeP10P90 * 80; // 80% range from 10th to 90th percentile = Math.round(10 + rangePercentile); } if (percentile === '–') { // Fallback if weight is outside known range or calculation failed percentile = '–'; classification = '–'; } else if (percentile 90) { classification = 'LGA (Large for Gestational Age)'; } else { classification = 'AGA (Appropriate for Gestational Age)'; } } else { // Handle cases where GA is not exactly in the data points by interpolation var lowerWeekIndex = -1; for (var i = 0; i < weeks.length; i++) { if (weeks[i] < ga) { lowerWeekIndex = i; } else { break; } } if (lowerWeekIndex !== -1 && lowerWeekIndex < weeks.length – 1) { var upperWeekIndex = lowerWeekIndex + 1; var x0 = weeks[lowerWeekIndex]; var x1 = weeks[upperWeekIndex]; var median0 = median[lowerWeekIndex]; var median1 = median[upperWeekIndex]; var p10_0 = p10[lowerWeekIndex]; var p10_1 = p10[upperWeekIndex]; var p90_0 = p90[lowerWeekIndex]; var p90_1 = p90[upperWeekIndex]; referenceWeight = Math.round(interpolate(ga, x0, median0, x1, median1)); var currentP10 = Math.round(interpolate(ga, x0, p10_0, x1, p10_1)); var currentP90 = Math.round(interpolate(ga, x0, p90_0, x1, p90_1)); if (weight currentP90) { percentile = 90 + Math.round(((weight – currentP90) / (4600 – currentP90)) * 10); if (percentile > 100) percentile = 100; } else { var rangeP10P90 = currentP90 – currentP10; var rangeWeight = weight – currentP10; var rangePercentile = rangeWeight / rangeP10P90 * 80; percentile = Math.round(10 + rangePercentile); } if (percentile === '–') { percentile = '–'; classification = '–'; } else if (percentile 90) { classification = 'LGA (Large for Gestational Age)'; } else { classification = 'AGA (Appropriate for Gestational Age)'; } } else { // GA is outside the range of our data referenceWeight = '–'; percentile = '–'; classification = '–'; } } return { percentile: percentile, classification: classification, referenceWeight: referenceWeight }; } function calculateBirthWeight() { copySuccessMessage.style.display = 'none'; // Hide copy message on new calculation var gestationalAge = parseInt(gestationalAgeInput.value); var sex = sexInput.value; var ethnicity = ethnicityInput.value; // Basic validation var errors = false; if (isNaN(gestationalAge) || gestationalAge 42) { document.getElementById('gestationalAgeError').textContent = 'Please enter a valid gestational age between 20 and 42 weeks.'; document.getElementById('gestationalAgeError').classList.add('visible'); errors = true; } else { document.getElementById('gestationalAgeError').textContent = "; document.getElementById('gestationalAgeError').classList.remove('visible'); } // Add more validation for other fields if needed if (errors) { mainResultDiv.textContent = '–'; estimatedPercentileDiv.textContent = '–'; growthClassificationDiv.textContent = '–'; referenceWeightDiv.textContent = '–'; updateChart([], [], [], []); // Clear chart return; } // — This is where the actual calculation logic would be more complex — // For this example, we'll simulate getting a result based on inputs. // A real calculator would need a database or complex function to determine // the *actual* weight for a given percentile, or vice-versa. // Here, we'll just show the reference weight and classification based on GA. // To make the main result dynamic, we need an *actual* weight input. // Since there isn't one, we'll focus on showing the reference data. var curve = getGrowthCurve(gestationalAge, sex, ethnicity); var referenceWeightGrams = curve.median[curve.weeks.indexOf(gestationalAge)]; var p10Grams = curve.p10[curve.weeks.indexOf(gestationalAge)]; var p90Grams = curve.p90[curve.weeks.indexOf(gestationalAge)]; // Simulate a result for the main display – let's assume a weight that falls at 50th percentile for now // In a real scenario, you'd have an input for actual birth weight. var simulatedActualWeight = referenceWeightGrams; // Placeholder var calculationResult = calculatePercentileAndClassification(simulatedActualWeight, gestationalAge, sex, ethnicity); mainResultDiv.textContent = simulatedActualWeight + ' g'; // Displaying the reference weight as the main result for now estimatedPercentileDiv.textContent = calculationResult.percentile + '%'; growthClassificationDiv.textContent = calculationResult.classification; referenceWeightDiv.textContent = referenceWeightGrams + ' g'; // Populate Table populateTable(sex, ethnicity); // Update Chart updateChart(curve.weeks, curve.median, curve.p10, curve.p90); } function populateTable(sex, ethnicity) { percentileTableBody.innerHTML = "; // Clear existing rows var curve = getGrowthCurve(0, sex, ethnicity); // Get curve data, GA 0 is just to fetch the right ethnicity data var weeks = curve.weeks; var median = curve.median; var p10 = curve.p10; var p90 = curve.p90; for (var i = 0; i < weeks.length; i++) { var row = percentileTableBody.insertRow(); row.insertCell(0).textContent = weeks[i]; row.insertCell(1).textContent = sex.charAt(0).toUpperCase() + sex.slice(1); row.insertCell(2).textContent = ethnicity.charAt(0).toUpperCase() + ethnicity.slice(1); row.insertCell(3).textContent = median[i] + ' g'; row.insertCell(4).textContent = p10[i] + ' g'; row.insertCell(5).textContent = p90[i] + ' g'; } } function updateChart(weeks, median, p10, p90) { if (chartInstance) { chartInstance.destroy(); } var ctx = chartCanvas.getContext('2d'); chartInstance = new Chart(ctx, { type: 'line', data: { labels: weeks, datasets: [{ label: '50th Percentile (Median)', data: median, borderColor: 'rgba(0, 74, 153, 1)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1 }, { label: '10th Percentile (SGA Threshold)', data: p10, borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: '90th Percentile (LGA Threshold)', data: p90, borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: '+1', // Fills between this dataset and the previous one (p10) tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (grams)' }, beginAtZero: false // Start y-axis appropriately } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + ' g'; } return label; } } } } } }); } function resetCalculator() { gestationalAgeInput.value = 39; sexInput.value = 'male'; ethnicityInput.value = 'white'; mainResultDiv.textContent = '–'; estimatedPercentileDiv.textContent = '–'; growthClassificationDiv.textContent = '–'; referenceWeightDiv.textContent = '–'; document.getElementById('gestationalAgeError').textContent = ''; document.getElementById('gestationalAgeError').classList.remove('visible'); copySuccessMessage.style.display = 'none'; // Optionally re-populate table and chart with defaults populateTable(sexInput.value, ethnicityInput.value); var defaultCurve = getGrowthCurve(parseInt(gestationalAgeInput.value), sexInput.value, ethnicityInput.value); updateChart(defaultCurve.weeks, defaultCurve.median, defaultCurve.p10, defaultCurve.p90); } function copyResults() { var gestationalAge = gestationalAgeInput.value; var sex = sexInput.options[sexInput.selectedIndex].text; var ethnicity = ethnicityInput.options[ethnicityInput.selectedIndex].text; var mainResult = mainResultDiv.textContent; var percentile = estimatedPercentileDiv.textContent; var classification = growthClassificationDiv.textContent; var referenceWeight = referenceWeightDiv.textContent; var resultsText = "Birth Weight for Gestational Age Calculation:\n\n" + "Inputs:\n" + "- Gestational Age: " + gestationalAge + " weeks\n" + "- Sex: " + sex + "\n" + "- Ethnicity: " + ethnicity + "\n\n" + "Results:\n" + "- Estimated Weight (Reference): " + mainResult + "\n" + // Displaying reference as main result "- Estimated Percentile: " + percentile + "\n" + "- Growth Classification: " + classification + "\n" + "- Reference Weight (50th Percentile): " + referenceWeight + "\n\n" + "Note: This calculator uses statistical models. Consult a healthcare professional for medical advice."; // Use the modern Clipboard API if available, otherwise fallback if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { copySuccessMessage.style.display = 'block'; setTimeout(function() { copySuccessMessage.style.display = 'none'; }, 3000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for environments where clipboard API might fail (e.g., some older browsers or specific contexts) fallbackCopyTextToClipboard(resultsText); }); } else { fallbackCopyTextToClipboard(resultsText); } } // Fallback function for copying text function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; 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 { var successful = document.execCommand('copy'); if (successful) { copySuccessMessage.style.display = 'block'; setTimeout(function() { copySuccessMessage.style.display = 'none'; }, 3000); } else { console.error('Fallback: Copying text command was unsuccessful'); } } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // Initial calculation and table/chart population on page load document.addEventListener('DOMContentLoaded', function() { // Add Chart.js library dynamically if not present (for demonstration) // In a production environment, you'd include this in the if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; script.onload = function() { calculateBirthWeight(); // Calculate after chart library is loaded }; document.head.appendChild(script); } else { calculateBirthWeight(); // Calculate immediately if Chart.js is already available } }); // Add event listeners for real-time updates (optional, but good UX) gestationalAgeInput.addEventListener('input', calculateBirthWeight); sexInput.addEventListener('change', calculateBirthWeight); ethnicityInput.addEventListener('change', calculateBirthWeight);

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