Calculate Iugr from Birth Weight

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Calculate IUGR from Birth Weight

Assess fetal growth and identify potential concerns using our IUGR calculator.

IUGR Assessment Calculator

Enter gestational age in weeks (e.g., 38.5 for 38 weeks and 5 days).
Enter birth weight in kilograms (kg).
Male Female

Assessment Results

PVS (Percentile):
Z-Score:
Category:
Formula Basis: This calculator estimates the percentile and Z-score of the birth weight relative to the expected weight for the given gestational age and sex, using established growth charts and statistical methods. A Z-score of -2 or less, or a percentile below the 10th, typically indicates potential IUGR.

Birth Weight vs. Gestational Age

This chart visualizes the infant's birth weight against standard growth curves for the specified sex and gestational age. The red dot indicates the infant's actual measurement relative to the 10th percentile (dashed line) and 50th percentile (solid line).

Growth Chart Reference Data

Selected data points from common growth charts for reference. Values are approximate and may vary slightly by source.
Gestational Age (Weeks) Male – 10th Percentile (kg) Male – 50th Percentile (kg) Female – 10th Percentile (kg) Female – 50th Percentile (kg)

What is IUGR from Birth Weight?

Intrauterine Growth Restriction (IUGR), often assessed using birth weight, refers to a condition where a fetus does not grow at the expected rate during pregnancy. When a baby is born weighing significantly less than expected for their gestational age, it can be an indicator of IUGR. This condition is not a specific diagnosis but rather a sign that the fetus experienced adverse conditions in utero, impacting its growth potential. Understanding how to calculate IUGR from birth weight is crucial for healthcare providers to identify infants who may require further medical attention, monitoring, or intervention. It's important to distinguish IUGR from small for gestational age (SGA) babies, though they often overlap. SGA simply means the baby's weight is below the 10th percentile for gestational age, while IUGR implies a slower growth rate during pregnancy, which can lead to SGA status. However, not all SGA babies are necessarily IUGR if their growth trajectory was consistent, albeit at a lower level.

Who should use this tool? Healthcare professionals, including obstetricians, pediatricians, nurses, and midwives, should use this calculator as a preliminary assessment tool. Expectant parents seeking to understand potential growth concerns discussed with their doctor might also find it informative. However, this tool is not a substitute for professional medical advice or diagnosis. The interpretation of IUGR requires clinical context, including maternal health, placental function, and other fetal assessments.

Common misconceptions about IUGR include believing it's solely due to genetics or that it's always preventable. While genetics can play a role, IUGR is most often caused by environmental factors or complications affecting nutrient and oxygen supply to the fetus. Another misconception is that IUGR babies will always catch up completely in postnatal growth; while many do, some may experience long-term growth deficits or developmental challenges.

IUGR from Birth Weight: Formula and Mathematical Explanation

The core concept behind assessing IUGR from birth weight involves comparing the infant's actual weight to the expected weight for their specific gestational age and sex. This comparison is typically done using standardized fetal growth charts, which provide reference percentiles and Z-scores. A Z-score represents the number of standard deviations a data point is from the mean. A Z-score of -2 or below typically signifies a weight that is significantly lower than average.

The general process involves:

  1. Determining Gestational Age: Accurately establishing the gestational age (GA) in weeks is paramount. This is usually calculated from the last menstrual period or confirmed with early ultrasound measurements.
  2. Identifying Sex: Fetal growth charts often differ between males and females.
  3. Obtaining Birth Weight: The infant's weight at birth, measured in kilograms, is recorded.
  4. Consulting Growth Charts: The specific birth weight for the determined GA and sex is plotted on a standard growth chart.
  5. Calculating Percentile and Z-Score: Statistical methods or specialized software are used to determine where the birth weight falls relative to the mean (50th percentile) and the standard deviations.

While specific complex regression formulas are used to generate official charts (e.g., those from INTERGROWTH-21st or the WHO), our calculator simplifies this by using interpolated data or approximations derived from these established models. The primary outputs are the estimated percentile and Z-score.

Variables Table

Variable Meaning Unit Typical Range
Gestational Age (GA) Age of the fetus/infant in weeks from conception (or last menstrual period). Weeks (e.g., 38.5) 22.0 – 42.0 weeks
Birth Weight (BW) The weight of the infant at birth. Kilograms (kg) 0.5 – 5.0 kg (highly variable)
Infant Sex Biological sex of the infant. Categorical (Male/Female) Male or Female
Percentile The percentage of infants of the same GA and sex that weigh less than the given weight. % 0 – 100%
Z-Score Number of standard deviations the infant's weight is above or below the mean weight for their GA and sex. Unitless Typically -4.0 to +4.0 (clinical significance usually around -2.0 or lower)

Interpretation: A birth weight below the 10th percentile is generally considered small for gestational age (SGA). A Z-score of -2.0 or less is a more statistically rigorous indicator of being significantly small for gestational age and is often used as a threshold for suspecting or diagnosing IUGR, alongside clinical findings.

Practical Examples

Let's illustrate the use of the IUGR calculator with realistic scenarios.

Example 1: A Term Infant with Low Weight

Scenario: A baby boy is born at exactly 40 weeks of gestation (GA = 40.0 weeks) and weighs 2.800 kg. His sex is male.

Inputs:

  • Gestational Age: 40.0 weeks
  • Birth Weight: 2.800 kg
  • Infant Sex: Male

Calculator Output:

  • Primary Result (Weight): 2.800 kg
  • PVS (Percentile): Approximately 5th percentile
  • Z-Score: Approximately -1.65
  • Category: Small for Gestational Age (SGA) / Potential IUGR concern

Interpretation: This baby boy weighs less than 5% of other male infants born at 40 weeks. While the Z-score of -1.65 is not below -2.0, the percentile is below the 10th, suggesting he is SGA. This warrants clinical evaluation to rule out underlying causes of restricted growth, such as placental insufficiency or fetal infection. Further monitoring of his postnatal growth and development would be recommended.

Example 2: A Preterm Infant with Moderate Low Weight

Scenario: A baby girl is born prematurely at 32 weeks and 5 days of gestation (GA = 32.8 weeks) and weighs 1.200 kg. Her sex is female.

Inputs:

  • Gestational Age: 32.8 weeks
  • Birth Weight: 1.200 kg
  • Infant Sex: Female

Calculator Output:

  • Primary Result (Weight): 1.200 kg
  • PVS (Percentile): Approximately 2nd percentile
  • Z-Score: Approximately -2.05
  • Category: IUGR / Significantly SGA

Interpretation: This baby girl's weight falls below the 2nd percentile for her gestational age, and her Z-score is -2.05, which is below the -2.0 threshold. This strongly suggests significant Intrauterine Growth Restriction (IUGR). The medical team would likely investigate potential causes for this severe growth impairment and initiate appropriate neonatal care protocols, including close monitoring of feeding, temperature regulation, and potential complications associated with IUGR.

How to Use This IUGR Calculator

Our IUGR calculator is designed for ease of use by healthcare professionals. Follow these steps for a quick assessment:

  1. Input Gestational Age: Enter the infant's precise gestational age in weeks. Use decimals for fractions of a week (e.g., 38.5 for 38 weeks and 5 days).
  2. Input Birth Weight: Enter the infant's weight in kilograms (e.g., 2.500 for 2.5 kg). Ensure the correct unit is used.
  3. Select Infant Sex: Choose 'Male' or 'Female' from the dropdown menu, as growth references differ.
  4. Calculate: Click the 'Calculate IUGR' button. The results will update instantly.

Reading the Results:

  • Primary Result: Displays the entered birth weight for confirmation.
  • PVS (Percentile): Indicates the percentage of infants of the same gestational age and sex that weigh less than the inputted weight. A value below the 10th percentile suggests SGA.
  • Z-Score: A statistical measure showing how many standard deviations the baby's weight is from the average. A Z-score of -2.0 or lower is a key indicator for IUGR.
  • Category: Provides a quick interpretation (e.g., SGA, Potential IUGR, IUGR).

Decision-Making Guidance: The calculator provides a quantitative assessment. Healthcare providers must integrate these results with clinical findings, maternal history, and other diagnostic information to make informed decisions about patient care, further investigations, and management plans. Low percentiles and Z-scores suggest a need for closer scrutiny.

Key Factors That Affect IUGR Results

Several factors can influence fetal growth and the likelihood of IUGR, impacting the birth weight assessment:

  1. Placental Function: The placenta is the lifeline for the fetus, supplying oxygen and nutrients. Impaired placental function (e.g., due to placental insufficiency, abruption, or infarction) is a leading cause of IUGR, directly limiting fetal growth. This is a primary driver of reduced birth weight for gestational age.
  2. Maternal Health Conditions: Chronic conditions in the mother such as hypertension, diabetes (especially poorly controlled), kidney disease, heart disease, and autoimmune disorders can affect blood flow to the placenta and nutrient transfer, hindering fetal growth.
  3. Maternal Nutrition and Substance Use: Inadequate maternal nutrition, including insufficient caloric and protein intake, can limit the building blocks for fetal growth. Smoking, alcohol consumption, and illicit drug use during pregnancy can also impair fetal development and are significant risk factors for IUGR.
  4. Infections: Certain infections acquired during pregnancy (e.g., TORCH infections – Toxoplasmosis, Other infections, Rubella, Cytomegalovirus, Herpes simplex) can directly harm the fetus, affecting growth and causing IUGR.
  5. Genetic Factors and Chromosomal Abnormalities: While less common than environmental causes, intrinsic genetic factors or chromosomal abnormalities in the fetus can lead to restricted growth. The fetus may have a genetically determined smaller size, or an abnormality may interfere with normal development.
  6. Multiple Gestations: In twin or higher-order pregnancies, the shared placental resources and uterine space can lead to competition for nutrients. This often results in lower birth weights and a higher incidence of IUGR compared to singleton pregnancies, especially if there is placental sharing or unequal sharing (e.g., in monochorionic twins).
  7. Uterine Anomalies: Structural abnormalities of the uterus can sometimes impede fetal growth by limiting space or affecting uterine blood flow.

Frequently Asked Questions (FAQ)

What is the definition of IUGR?

IUGR is a condition where a fetus fails to reach its genetically determined growth potential during pregnancy. It's diagnosed when the estimated fetal weight is below a certain threshold (often less than the 10th percentile) for the specific gestational age, or when there's evidence of slowed growth velocity.

Is IUGR the same as Small for Gestational Age (SGA)?

Not exactly. SGA simply describes an infant whose birth weight is below the 10th percentile for their gestational age. IUGR is a cause of SGA, implying that the fetus grew at a slower rate than expected *during* pregnancy due to adverse conditions. An infant can be SGA without necessarily being IUGR if their growth was consistently slow but followed a predictable curve.

What are the risks for a baby diagnosed with IUGR?

Babies with IUGR face increased risks, including stillbirth, birth asphyxia, hypoglycemia (low blood sugar), hypothermia, polycythemia (high red blood cell count), respiratory distress syndrome, necrotizing enterocolitis, developmental delays, and long-term growth issues.

Can IUGR be treated during pregnancy?

Direct treatment of IUGR is limited. Management focuses on identifying and mitigating the cause (e.g., managing maternal hypertension, advising against smoking), close fetal monitoring (ultrasounds, non-stress tests), and optimizing the timing of delivery if the risks of continuing the pregnancy outweigh the benefits of further gestation.

Do babies with IUGR catch up in growth after birth?

Many infants with IUGR do experience postnatal catch-up growth, particularly if the underlying cause is resolved and they receive adequate nutrition. However, some may continue to grow at a slower pace, remaining smaller than their peers throughout childhood. The extent of catch-up growth depends on the severity and cause of the IUGR.

What is the role of Z-score vs. Percentile in IUGR assessment?

Both are important. Percentiles (like the 10th) provide a relatable comparison to peers. Z-scores offer a more precise statistical measure of deviation from the mean, which is valuable for research and comparing growth across different populations or over time. A Z-score of -2.0 or less is a widely accepted threshold for identifying significant growth restriction.

How accurate is birth weight for assessing IUGR?

Birth weight is a key indicator, but it's a snapshot at birth. Ultrasound estimates of fetal weight during pregnancy can track growth *velocity* and identify potential IUGR earlier. A low birth weight, especially when combined with clinical suspicion or poor postnatal growth, strongly suggests IUGR or SGA.

Does maternal weight gain affect IUGR?

Yes, inadequate maternal weight gain during pregnancy can be both a sign and a contributing factor to IUGR, as it may reflect insufficient nutrient intake or the body's inability to support fetal growth adequately.

Can this calculator be used for preterm babies?

Absolutely. Gestational age is a critical input, and the calculator uses data specific to that age. Preterm babies have different expected growth curves than term babies, and this tool accounts for that variability.

© 2023 Your Medical Resource. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice. Consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.

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'#ccc' : '#dc3545'; return isValid; } function getGrowthData(gestationalAge, sex) { // Simplified data based on common growth charts (e.g., WHO/customized) // This is a placeholder and would ideally be more detailed or use a regression model var maleData = [ { ga: 22, p10: 0.45, p50: 0.58, z10: -1.28, z50: 0.00 }, { ga: 23, p10: 0.52, p50: 0.67, z10: -1.28, z50: 0.00 }, { ga: 24, p10: 0.59, p50: 0.76, z10: -1.28, z50: 0.00 }, { ga: 25, p10: 0.67, p50: 0.86, z10: -1.28, z50: 0.00 }, { ga: 26, p10: 0.75, p50: 0.97, z10: -1.28, z50: 0.00 }, { ga: 27, p10: 0.84, p50: 1.09, z10: -1.28, z50: 0.00 }, { ga: 28, p10: 0.93, p50: 1.22, z10: -1.28, z50: 0.00 }, { ga: 29, p10: 1.03, p50: 1.36, z10: -1.28, z50: 0.00 }, { ga: 30, p10: 1.13, p50: 1.51, z10: -1.28, z50: 0.00 }, { ga: 31, p10: 1.24, p50: 1.67, z10: -1.28, z50: 0.00 }, { ga: 32, p10: 1.35, p50: 1.84, z10: -1.28, z50: 0.00 }, { ga: 33, p10: 1.47, p50: 2.02, z10: -1.28, z50: 0.00 }, { ga: 34, p10: 1.60, p50: 2.21, z10: -1.28, z50: 0.00 }, { ga: 35, p10: 1.74, p50: 2.41, z10: -1.28, z50: 0.00 }, { ga: 36, p10: 1.89, p50: 2.61, z10: -1.28, z50: 0.00 }, { ga: 37, p10: 2.04, p50: 2.82, z10: -1.28, z50: 0.00 }, { ga: 38, p10: 2.20, p50: 3.03, z10: -1.28, z50: 0.00 }, { ga: 39, p10: 2.36, p50: 3.24, z10: -1.28, z50: 0.00 }, { ga: 40, p10: 2.52, p50: 3.45, z10: -1.28, z50: 0.00 }, { ga: 41, p10: 2.67, p50: 3.65, z10: -1.28, z50: 0.00 }, { ga: 42, p10: 2.82, p50: 3.84, z10: -1.28, z50: 0.00 } ]; var femaleData = [ { ga: 22, p10: 0.43, p50: 0.56, z10: -1.28, z50: 0.00 }, { ga: 23, p10: 0.50, p50: 0.64, z10: -1.28, z50: 0.00 }, { ga: 24, p10: 0.57, p50: 0.73, z10: -1.28, z50: 0.00 }, { ga: 25, p10: 0.64, p50: 0.82, z10: -1.28, z50: 0.00 }, { ga: 26, p10: 0.72, p50: 0.92, z10: -1.28, z50: 0.00 }, { ga: 27, p10: 0.80, p50: 1.03, z10: -1.28, z50: 0.00 }, { ga: 28, p10: 0.89, p50: 1.15, z10: -1.28, z50: 0.00 }, { ga: 29, p10: 0.98, p50: 1.28, z10: -1.28, z50: 0.00 }, { ga: 30, p10: 1.08, p50: 1.41, z10: -1.28, z50: 0.00 }, { ga: 31, p10: 1.18, p50: 1.55, z10: -1.28, z50: 0.00 }, { ga: 32, p10: 1.29, p50: 1.70, z10: -1.28, z50: 0.00 }, { ga: 33, p10: 1.40, p50: 1.86, z10: -1.28, z50: 0.00 }, { ga: 34, p10: 1.52, p50: 2.02, z10: -1.28, z50: 0.00 }, { ga: 35, p10: 1.64, p50: 2.19, z10: -1.28, z50: 0.00 }, { ga: 36, p10: 1.77, p50: 2.37, z10: -1.28, z50: 0.00 }, { ga: 37, p10: 1.90, p50: 2.55, z10: -1.28, z50: 0.00 }, { ga: 38, p10: 2.04, p50: 2.73, z10: -1.28, z50: 0.00 }, { ga: 39, p10: 2.18, p50: 2.91, z10: -1.28, z50: 0.00 }, { ga: 40, p10: 2.32, p50: 3.09, z10: -1.28, z50: 0.00 }, { ga: 41, p10: 2.45, p50: 3.26, z10: -1.28, z50: 0.00 }, { ga: 42, p10: 2.58, p50: 3.42, z10: -1.28, z50: 0.00 } ]; var data = (sex === 'male') ? maleData : femaleData; // Find the closest GA data point or interpolate var closestPoint = data.find(function(point) { return point.ga === Math.round(gestationalAge); }); if (closestPoint) { return closestPoint; } else { // Simple linear interpolation for non-integer GA var lowerPoint = data.filter(function(point) { return point.ga = gestationalAge; })[0]; if (!lowerPoint || !upperPoint) return data[0]; // Fallback var factor = (gestationalAge – lowerPoint.ga) / (upperPoint.ga – lowerPoint.ga); // Interpolate P10 and P50 var p10 = lowerPoint.p10 + factor * (upperPoint.p10 – lowerPoint.p10); var p50 = lowerPoint.p50 + factor * (upperPoint.p50 – lowerPoint.p50); // Interpolate Z-scores (approximation) var z10 = lowerPoint.z10 + factor * (upperPoint.z10 – lowerPoint.z10); var z50 = lowerPoint.z50 + factor * (upperPoint.z50 – lowerPoint.z50); return { ga: gestationalAge, p10: p10, p50: p50, z10: z10, z50: z50 }; } } function calculateIUGR() { var ga = parseFloat(document.getElementById('gestationalAge').value); var bw = parseFloat(document.getElementById('birthWeight').value); var sex = document.getElementById('sex').value; var gaError = document.getElementById('gestationalAgeError'); var bwError = document.getElementById('birthWeightError'); var sexError = document.getElementById('sexError'); // Though select is less error prone var isValid = true; // Clear errors first gaError.textContent = "; bwError.textContent = "; // sexError.textContent = "; // No error message needed for select // Validation if (isNaN(ga) || ga 42) { // Realistic GA range gaError.textContent = 'Please enter Gestational Age between 22 and 42 weeks.'; document.getElementById('gestationalAge').style.borderColor = '#dc3545'; isValid = false; } else { document.getElementById('gestationalAge').style.borderColor = '#ccc'; } if (isNaN(bw) || bw <= 0) { // Birth weight must be positive bwError.textContent = 'Please enter a valid Birth Weight (must be positive).'; document.getElementById('birthWeight').style.borderColor = '#dc3545'; isValid = false; } else { document.getElementById('birthWeight').style.borderColor = '#ccc'; } if (!isValid) { return; // Stop if validation fails } var growthData = getGrowthData(ga, sex); var p10Weight = growthData.p10; var p50Weight = growthData.p50; var zScoreAtP10 = growthData.z10; // Standard Z-score for 10th percentile // Calculate Z-Score for the actual birth weight // Z = (X – μ) / σ // We know P10 corresponds to Z=-1.28 and P50 to Z=0. // If we approximate σ ≈ (P50 – P10) / (0 – (-1.28)), then σ ≈ (p50 – p10) / 1.28 var standardDeviation = (p50Weight – p10Weight) / 1.28; // Approximated SD var actualZScore = (bw – p50Weight) / standardDeviation; // Calculate Percentile from Z-Score (using approximation or a lookup) // This is a simplification; actual percentile calculation is complex. // We'll use a rough mapping or directly report the P10/P50 context. var percentile; if (bw < p10Weight) { // Crude estimation for percentiles below 10th percentile = Math.max(0, 10 + (actualZScore – zScoreAtP10) * 10); } else if (bw < p50Weight) { percentile = 10 + (actualZScore – zScoreAtP10) * (40 / (0 – zScoreAtP10)); // Rough interpolation } else { percentile = 50 + (actualZScore / 0) * 50; // Rough interpolation above median } percentile = Math.max(0, Math.min(100, percentile)).toFixed(1); // Clamp and format // Determine Category var category; if (actualZScore <= -2.0 || parseFloat(percentile) < 10.0) { category = "IUGR / Significantly SGA"; } else if (parseFloat(percentile) < 10.0) { category = "Small for Gestational Age (SGA)"; } else { category = "Appropriate for Gestational Age (AGA)"; } // Update Results Display document.getElementById('primaryResult').textContent = bw.toFixed(3) + ' kg'; document.getElementById('pvsValue').innerHTML = 'PVS (Percentile): ' + percentile + '%'; document.getElementById('zScoreValue').innerHTML = 'Z-Score: ' + actualZScore.toFixed(2); document.getElementById('weightCategory').innerHTML = 'Category: ' + category; // Update Chart updateChart(ga, bw, sex, p10Weight, p50Weight); // Update Table populateGrowthTable(); // Show results container document.getElementById('resultsContainer').style.display = 'block'; } function updateChart(currentGA, currentBW, sex, p10Weight, p50Weight) { var ctx = document.getElementById('growthChart').getContext('2d'); var chartData = getChartPlotData(sex); // Get data for plotting var canvas = document.getElementById('growthChart'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'scatter', // Use scatter for specific points data: { datasets: [{ label: 'Infant Measurement', data: [{ x: currentGA, y: currentBW }], backgroundColor: 'rgba(255, 0, 0, 1)', // Red dot for infant borderColor: 'rgba(255, 0, 0, 1)', pointRadius: 8, pointHoverRadius: 10, showLine: false // No line for single point }, { label: '50th Percentile (Median)', data: chartData.p50Data, backgroundColor: 'rgba(0, 74, 153, 0.7)', // Primary color borderColor: 'rgba(0, 74, 153, 0.7)', pointRadius: 0, // No points, just a line fill: false, showLine: true, tension: 0.1 // Slight curve }, { label: '10th Percentile', data: chartData.p10Data, backgroundColor: 'rgba(0, 74, 153, 0.5)', borderColor: 'rgba(0, 74, 153, 0.5)', borderDash: [5, 5], // Dashed line pointRadius: 0, fill: false, showLine: true, tension: 0.1 }] }, options: { scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Gestational Age (Weeks)' }, min: 22, max: 42, grid: { color: 'rgba(200,200,200,0.2)' } }, y: { title: { display: true, text: 'Birth Weight (kg)' }, min: 0, // Start y-axis at 0 max: 5.0, // Set a reasonable max grid: { color: 'rgba(200,200,200,0.2)' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.x) { label += context.parsed.x.toFixed(1) + ' weeks, '; } if (context.parsed.y) { label += context.parsed.y.toFixed(3) + ' kg'; } return label; } } }, legend: { position: 'top', } }, responsive: true, maintainAspectRatio: false } }); } function getChartPlotData(sex) { var maleData = [ { x: 22, y: 0.58 }, { x: 23, y: 0.67 }, { x: 24, y: 0.76 }, { x: 25, y: 0.86 }, { x: 26, y: 0.97 }, { x: 27, y: 1.09 }, { x: 28, y: 1.22 }, { x: 29, y: 1.36 }, { x: 30, y: 1.51 }, { x: 31, y: 1.67 }, { x: 32, y: 1.84 }, { x: 33, y: 2.02 }, { x: 34, y: 2.21 }, { x: 35, y: 2.41 }, { x: 36, y: 2.61 }, { x: 37, y: 2.82 }, { x: 38, y: 3.03 }, { x: 39, y: 3.24 }, { x: 40, y: 3.45 }, { x: 41, y: 3.65 }, { x: 42, y: 3.84 } ]; var femaleData = [ { x: 22, y: 0.56 }, { x: 23, y: 0.64 }, { x: 24, y: 0.73 }, { x: 25, y: 0.82 }, { x: 26, y: 0.92 }, { x: 27, y: 1.03 }, { x: 28, y: 1.15 }, { x: 29, y: 1.28 }, { x: 30, y: 1.41 }, { x: 31, y: 1.55 }, { x: 32, y: 1.70 }, { x: 33, y: 1.86 }, { x: 34, y: 2.02 }, { x: 35, y: 2.19 }, { x: 36, y: 2.37 }, { x: 37, y: 2.55 }, { x: 38, y: 2.73 }, { x: 39, y: 2.91 }, { x: 40, y: 3.09 }, { x: 41, y: 3.26 }, { x: 42, y: 3.42 } ]; var p50Data = (sex === 'male') ? maleData : femaleData; // For 10th percentile line, we use the p10 data from getGrowthData and interpolate var p10Data = []; var dataPoints = [22, 26, 30, 34, 38, 42]; // Sample GAs for P10 data points var tempSexData = (sex === 'male') ? [0.45, 0.75, 1.13, 1.60, 2.20, 2.82] : [0.43, 0.72, 1.08, 1.52, 2.04, 2.58]; for(var i=0; i < dataPoints.length; i++) { p10Data.push({ x: dataPoints[i], y: tempSexData[i] }); } return { p50Data: p50Data, p10Data: p10Data }; } function populateGrowthTable() { var tableBody = document.getElementById('growthTableBody'); tableBody.innerHTML = ''; // Clear existing rows var gaPoints = [24, 28, 32, 36, 40]; // Sample GAs for the table gaPoints.forEach(function(ga) { var maleData = getGrowthData(ga, 'male'); var femaleData = getGrowthData(ga, 'female'); var row = tableBody.insertRow(); row.insertCell(0).textContent = ga.toFixed(1) + ' weeks'; row.insertCell(1).textContent = maleData.p10.toFixed(3); row.insertCell(2).textContent = maleData.p50.toFixed(3); row.insertCell(3).textContent = femaleData.p10.toFixed(3); row.insertCell(4).textContent = femaleData.p50.toFixed(3); }); } function resetCalculator() { document.getElementById('gestationalAge').value = '38.0'; document.getElementById('birthWeight').value = '2.500'; document.getElementById('sex').value = 'male'; // Clear errors document.getElementById('gestationalAgeError').textContent = ''; document.getElementById('birthWeightError').textContent = ''; document.getElementById('gestationalAge').style.borderColor = '#ccc'; document.getElementById('birthWeight').style.borderColor = '#ccc'; // Reset results and chart document.getElementById('primaryResult').textContent = '–'; document.getElementById('pvsValue').innerHTML = 'PVS (Percentile): –'; document.getElementById('zScoreValue').innerHTML = 'Z-Score: –'; document.getElementById('weightCategory').innerHTML = 'Category: –'; document.getElementById('resultsContainer').style.display = 'none'; // Reset chart – draw default/empty state or re-render initial if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var ctx = document.getElementById('growthChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var pvs = document.getElementById('pvsValue').textContent.replace('PVS (Percentile): ', "); var zScore = document.getElementById('zScoreValue').textContent.replace('Z-Score: ', "); var category = document.getElementById('weightCategory').textContent.replace('Category: ', "); var assumptions = "Key Assumptions:\n" + "Gestational Age: " + document.getElementById('gestationalAge').value + " weeks\n" + "Birth Weight: " + document.getElementById('birthWeight').value + " kg\n" + "Infant Sex: " + document.getElementById('sex').value.charAt(0).toUpperCase() + document.getElementById('sex').value.slice(1); var resultsText = "IUGR Assessment Results:\n" + "————————\n" + "Birth Weight: " + primaryResult + "\n" + "Percentile: " + pvs + "\n" + "Z-Score: " + zScore + "\n" + "Category: " + category + "\n\n" + assumptions; // Use Clipboard API if available, fallback to prompt if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); prompt('Copy this text:', resultsText); // Fallback }); } else { prompt('Copy this text:', resultsText); // Fallback for older browsers } } // Initial setup on load document.addEventListener('DOMContentLoaded', function() { // Populate table on load populateGrowthTable(); // Optionally draw initial chart or wait for calculation updateChart(38.0, 2.500, 'male', 2.20, 3.03); // Initial values for chart context // Hide results initially document.getElementById('resultsContainer').style.display = 'none'; // Add event listeners for real-time validation and calculation var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); inputs.forEach(function(input) { input.addEventListener('input', function() { // Trigger calculation on input change if fields are valid var gaValid = validateInput('gestationalAge', 'gestationalAgeError', 22, 42); var bwValid = validateInput('birthWeight', 'birthWeightError', 0.001); // Smallest possible positive weight if (gaValid && bwValid) { calculateIUGR(); } else { // If invalid, ensure results are hidden or reset document.getElementById('resultsContainer').style.display = 'none'; } }); }); // Setup FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; var isActive = this.classList.contains('active'); // Close all others first faqQuestions.forEach(function(q) { q.classList.remove('active'); q.nextElementSibling.classList.remove('show'); }); // Toggle the clicked one if (!isActive) { this.classList.add('active'); answer.classList.add('show'); } }); }); }); // Make sure chart library is loaded before calling updateChart initially // Assuming Chart.js is loaded globally or via CDN. If not, this needs adjustment. // For this self-contained HTML, we'll rely on it being available. // If Chart.js is not globally available, add: // // before this script block.

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