Plotted by corrected age, a former 31-week girl is catching up, not falling behind, in NU580's Unit 2 reading across Fenton, WHO and CDC charts. Searches like "nu 580 unit 2 assignment example", "nu580 unit 2 sample" and "nu580 unit 2 example" land here.
Small at Her Birthday, Average at Her Due Date: Growth Chart Interpretation for a Girl Born at 31 Weeks, Across Three Charts
[Student Name]
Purdue University Global
NU580: FNP II - Primary Care of Children and Adolescents' Health
Unit 2 Growth Chart Interpretation
[Instructor Name]
[Date]
The child is a composite; all measurements and percentiles are bracketed case data.
Method: Corrected Age
Corrected age is chronological age minus the number of weeks a baby was born early. [Lily] was born at 31 weeks, nine weeks before a 40-week due date, so at a chronological age of six months her corrected age is about four months. Plotting a preterm infant at chronological age compares her with babies who had nine more weeks of growth before birth, which makes her look small for a reason that has nothing to do with how she is growing. Clinics commonly correct for prematurity through about 24 months of age; some continue longer for very preterm infants. This case follows correction through 24 months.
The Visit Table
1. Discharge, postmenstrual age [36] weeks. Weight [2.1] kg, length [44] cm, head [31] cm. Fenton chart: weight [20th], length [25th], head [35th].
2. Postmenstrual age [44] weeks. Weight [3.6] kg. Fenton: weight [25th], length [20th], head [45th].
3. Chronological 5 months, corrected 3 months. Weight [5.2] kg. WHO at chronological age: [below 3rd]. WHO at corrected age: [15th].
4. Chronological 8 months, corrected 6 months. Weight [6.6] kg. Chronological: [3rd]. Corrected: [25th].
5. Chronological 11 months, corrected 9 months. Weight [7.6] kg. Chronological: [5th]. Corrected: [30th].
6. Chronological 14 months, corrected 12 months. Weight [8.5] kg. Chronological: [8th]. Corrected: [35th].
7. Chronological 20 months, corrected 18 months. Weight [9.8] kg. Chronological: [12th]. Corrected: [40th].
8. Chronological 30 months. Weight [12.0] kg, length [88] cm. CDC chart, no correction: weight [30th], stature [20th].
Three Charts
The first two visits sit on the Fenton preterm growth chart, which covers infants from 22 weeks through 50 weeks of postmenstrual age and was revised from a meta-analysis of large population datasets (Fenton & Kim, 2013). From corrected 3 months, visits move to the WHO standard for girls, which the CDC recommends for every child up to the second birthday, since it describes how healthy breastfed infants should grow (Grummer-Strawn et al., 2010; WHO Multicentre Growth Reference Study Group, 2006). The final visit, past her second birthday, uses the CDC chart for ages 2 to 20.
Argument 1: The Same Points, Two Stories
Plotted at chronological age, her weight hugs or falls below the lowest lines through her first year, a picture that could prompt an evaluation for failure to thrive. Plotted at corrected age, the same weights rise from near the 15th to the 40th percentile, a picture of steady catch-up growth. Nothing about her changed between the two plots; only the age axis did. A clinician who saw only the first plot might have ordered tests, changed her feeding or referred her, all for a problem that did not exist.
Argument 2: The Order of Catch-Up
Head circumference caught up first, reaching the [50th] percentile by corrected 6 months; weight followed; length is still closing in at the 20th. This order, head before weight before length, is the pattern commonly described in preterm infants, with the brain's growth protected first.
Argument 3: The Handoff at Two Years
After her second birthday, the paper moves her to the CDC chart and stops correcting. The CDC chart is a reference based on a different population from the WHO standard, so a slight shift in percentile is expected at the switch. Her weight moves from the 40th on WHO at corrected 18 months to the 30th on CDC at 30 months. That is the chart changing, not the child; the paper says so before a reader can mistake it for faltering growth.
What Would Have Worried Me
Correcting for prematurity is not a way to explain away every small number. What would have worried me is a corrected series that fell rather than rose: weight crossing downward through two major percentile lines on the corrected plot, weight falling behind length, or head growth stalling. Any of those would call for a closer look at her feeding, her intake and her health, whatever her gestational age. Correction makes the comparison fair; it does not change what faltering growth looks like once the comparison is fair.
Common Errors in Plotting Preterm Infants
Three errors recur. The first is plotting at chronological age on the WHO chart, which produces the alarming series in the table. The second is forgetting to switch from the Fenton chart to the WHO chart at the right point, which makes the first months look discontinuous. The third is continuing correction past the protocol's cutoff on the CDC chart, which makes a child look larger than she is. The visit table records which chart and which age were used at each point so that none of these can happen silently.
Feeding Context
Her growth cannot be read without her feeding history. She was discharged on fortified breast milk, supplemented with a preterm transitional formula until corrected 6 months, and then moved to breast milk and solids. Her catch-up curve rose most steeply during the fortified months. That pattern supports the plan her neonatal team set and suggests her nutrition, not only her age, explains the rise.
How Her Parents Were Told
Her parents had seen "below the 3rd percentile" on a printed visit summary at 5 months and had been frightened. They were shown both plots side by side: the chronological plot that had alarmed them and the corrected plot that described her actual growth. Seeing the two lines diverge, with their daughter's rising line on the corrected chart, reassured them more than any explanation. They were told that the clinic plots her at corrected age until two, and that the printed summary would be adjusted so the same fright would not recur.
Verdict
[Lily] is growing well. Head circumference has caught up, weight is catching up, and length is closing in. Her growth should continue to be plotted with attention to the chart and the age axis, and her length followed at each visit until it settles on its channel. Her development should be judged at corrected age on the same schedule, since a nine-week head start matters as much for milestones as for measurements; a first word at corrected 12 months is on time, even if her chronological age is 14. At each visit, the corrected age is written in the note beside the chronological age, so no clinician has to calculate it in the room.
References
Fenton, T. R., & Kim, J. H. (2013). A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatrics, 13, 59. https://doi.org/10.1186/1471-2431-13-59
Grummer-Strawn, L. M., Reinold, C., & Krebs, N. F. (2010). Use of World Health Organization and CDC growth charts for children aged 0-59 months in the United States. MMWR Recommendations and Reports, 59(RR-9), 1-15.
WHO Multicentre Growth Reference Study Group. (2006). WHO child growth standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. World Health Organization.
How this NU580 Unit 2 example is structured
Method comes first and carries more weight here than in most growth papers. The paper defines corrected age as chronological age minus the weeks born early, nine for this girl, and cites the convention of correcting through about 24 months, noting that some clinics continue longer for very preterm infants and that her case follows the protocol the prompt names. Three arguments follow. First, the same eight measurements plotted both ways, the uncorrected series hugging or dropping below the lowest line while the corrected series rises from near the 10th to the 40th percentile. Second, the order of catch-up, head before weight before length, as the preterm literature describes. Third, the handoff to the CDC reference after her second birthday, where the paper expects a slight percentile move because the comparison population changes, and says so before the reader can mistake it for a problem.
Get an NU580 Unit 2 example written to your instructions
Growth cases in this course arrive in several forms: a table of numbers, printed charts to annotate, or a narrative with measurements scattered through it. Whichever form the Unit 2 prompt takes, forward it along with the grading criteria and whichever chart edition the section expects. A composite child with matching data comes back in 24-48h, the first one free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
NU580 Unit 2 questions, answered
What if my case child was not born preterm?
Then corrected age does not apply, and the interpretation turns on other things: the trend across visits, the relation between weight, length and head size, and the move to CDC charts at two years. The sample's method section still shows the reasoning a grader looks for, stating which chart and which age are used before reading any percentile.
Where do the percentiles come from if I cannot plot by hand?
Most students use a published calculator or the CDC and WHO data tables, and either is acceptable if named. State the source in your method paragraph so a grader can reproduce any value. Hand plotting on a printed chart is still requested in some sections, usually with the image attached, and then legible dots and labeled ages matter.
Should the paper recommend tests or referrals?
Only as far as your prompt asks. A growth interpretation usually names the pattern, steady, catching up or falling away, and what would change that judgment. Where a pattern is concerning, naming the next step a clinician would consider fits. Diagnosing from growth data alone oversteps, and graders in this course tend to notice.