Peds Flashcards
Screening tools
- STAMP (screening tool for assessment of malntr in peds)
- STRONGkids (screening tool for risk on nutritional status/growth)
- PYMS (pediatric yorkhill malnutr score)
All include high, medium, low classifications. Variable for starting age, but can go up to 16-18 YOA
Child is at nutrition risk:
Basic criteria when screening peds
- Weight for length, weight for height <10th%ile (-1.28 z score)
- BMI for age/gender <5th%ile (-1.64 z score)
- Increased metabolic requirements
- Impaired ability to ingest or tolerate oral feeding
- Documented inadequate provision of or tolerance to nutrients
- Inadequate weight gain or a significant decrease in usual growth percentile
Subjective Assessment
Nutrition-centered history:
– Feeding tolerance
– Feeding skills
– Intake patterns
– Cultural/religious factors
Inorganic Factors:
– Economic
– Educational
– Social
Inorganic, economic factor – recent formula shortage, parents trying to dilute remaining formula, transitioning child to cow’s milk sooner, or using juice
Subjective Assessment - things to document
- IBW
- Changes in weight
- Appropriateness of current intakes
- Any GI problems
Clinical assessment
- Admitting diagnosis
- Medical/surgical issues that may affect mode of nutrition delivery
Objective (growth) Assessment
Growth parameters
– Birth anthropometrics (infants/toddlers)
– Head circumference (<3 years of age)
– Length/height (length <2 YOA)
– Recumbent length for children less than
2 years of age
– Weight
Gestation
Normal gestation 37-42 weeks (~40 weeks)
Prematurity – Classifications
- Low birth weight infants
– birth wt <2500 g - Very low birth weight infants
– birth wt <1500 g - Extremely low birth weight infants
– birth wt <1000 g - Micronate
– <750 g
Note: An infant can be LBW, but yet full term 2/2 IUGR
Study
Small for gestational age
Birth weight <10th%ile on intrauterine growth curve
* Pregnancy-induced hypertension
* Maternal malnutrition
* Maternal substance abuse
* Chromosomal abnormalities
Study
Large for gestational age
Birth weight >90th%ile on intrauterine growth curve
* Maternal diabetes
* Genetic predisposition
* Miscalculation of due date
Types of Growth Charts
Based on age, gender, or diagnosis
– CDC growth charts (2-20 years)
– WHO growth charts (Birth to 2 years)
* Used bc data used on worldwide sample
– Preterm charts (e.g., NICU)
– Specialized charts (e.g., Cerebral palsy)
Key Points w/ Growth Charts
- Plotting WNL?
- Trending (is there a clear pattern?)
STUDY
BMI
- <5th%ile = underweight
- 5-85th%ile = normal
- 85-95th%ile = overweight
- > 95th%ile = obese
STUDY
General rules of thumb for infants
The infant should be:
* Doubling birth weight by 5-6 months
* Tripling birth weight by 1 year
Pediatric Malnutrition
- Ages 1 month-18 years
- Evaluate anthropometrics
- Evaluate dietary intake
- Factor in nutrition focused physical examination (is there muscle or fat loss?)
NFPE is NOT primary indicator of malnutrition
Mild Malnutrition
z score -1 to -1.99
* Cause is acute undernutrition (ex: illness)
* Effect is unintentional weight loss or below standard rate of weight gain
Patient still on the growth curve
Moderate malnutrition
z score -2 to -2.99
* Cause is longer lasting undernutrition
* Effect is below standard weight-for-length/height or BMI
Pt is below the growth curve
Severe malnutrition
z score of -3 or greater
* Cause is chronic undernutrition
* Effect is below standard linear growth/stunting
Pt is significantly below the growth curve
Determining malnutrition is dependent on what information at time of assessment?
Indicators for malnutrition vary based on the number of data points you have at time of assessment
Single Data Point
- Proportionality: BMI or Weight for length, z score
- MUAC, z score
- Height or length for age, z score
- Weight for age, z score
- Degree of malnutrition
2 or More Data Points
- Weight gain velocity (<2 yrs)
- Weight loss (2-20 yrs)
- Deceleration in weight for length/height (BMI) z score
- Inadequate nutrient intake
Estimating Calorie Needs:
Healthy Child
* Dietary Reference Intakes
* Estimated Energy Requirements (EER)
When child turns 3, can add AF to EER to provide additional kcal to compensate for energy utilized
Estimating Calorie Needs:
Decreased kcal
Basal Metabolic Rate (BMR)
* (ie. Schofield equation)
Resting Energy Expenditure (REE)
* (ie. WHO equation)
Stress factors can be added to both
Estimating Calorie Needs:
Weight Gain
Specifically, this is for infants to sustain a faster rate of weight gain to achieve an appropriate weight
Catch-up growth
How does Cystic Fibrosis alter nutrient needs?
– Increased nutrient needs 2/2 increased WOB
– Decreased food consumption 2/2 current illnesses
– Reduced nutrient absorption 2/2 pancreatic insufficiency
– Secondary illnesses, such as CF related
diabetes, liver disease, and osteoporosis
What is the max dosing for PERT?
- <2500 units lipase/kg/meal
- Do not exceed 10,000 units lipase/kg/day
- Going above increases risk of fibrosing colonopathy
STUDY
Supplementation of salt for infants with CF
0-6 mos: 1/8 tsp per day
>6 mos: 1⁄4 tsp per day
Can you use standard equations for energy needs in critical illness?
NO!
* Standard equations are inaccurate in this population (risk of overfeeding)
* The inflammatory response effects energy needs (effect on LBM)
STUDY
What is the best approach to calculating energy needs in critical illness
Indirect calorimetry ideal for malnutr or altering metabolic state
If can’t measure needs, use:
Schofield or WHO equations w/o stress factors
Estimated needs for children with Burns
- Catabolic state lasting weeks post injury
- Gold standard is to use indirect calorimetry
- General goal is 120-130% of REE
Children with burns >20% BSA will likely not meet EEN via PO intakes alone and will require some form of nutrition support