title: Nutritional status and metabolic profile in neurologically impaired pediatric surgical patients.
abstract: BACKGROUND
  Malnutrition is reported in pediatric neuromotor disability and impacts the child's health. We described the nutritional and metabolic status in neurologically impaired (NI) children undergoing surgery.
  
  
  METHODS
  Anthropometry, body composition, hormonal and nutritional evaluations were performed in 44 NI subjects (13.7±8.0 years). Energy needs were calculated by Krick's formula. Metabolic syndrome (MS) was defined applying the following criteria (≥3 defined MS): fasting blood glucose >100 mg/dL and/or homeostasis model assessment for insulin resistance (HOMA-IR) >97.5th percentile, trygliceride level >95th percentile, high-density lipoprotein (HDL)-cholesterol level <5th percentile, systolic/diastolic pressure >95th percentile; whilebody mass index - standard deviation score (BMI-SDS) <2 and biochemical malnutrition markers (≥2) defined undernutrition.
  
  
  RESULTS
  Energy intake was not adequate in 73.8% of the patients; no correlation between energy intake and BMI was noted. Undernutrition was noted in 34.1% of patients and MS in 11.36% of subjects. Fifty percent of the patients presented with insulin resistance, which was not related to BMI, body composition or other MS components.
  
  
  CONCLUSIONS
  Nutritional and metabolic monitoring of disabled children and young adults is recommended to prevent adverse outcomes associated with malnutrition.
authors.forename: Gloria
authors.initials: G
authors.lastname: Pelizzo
authors.forename: Valeria
authors.initials: V
authors.lastname: Calcaterra
authors.forename: Veronica
authors.initials: V
authors.lastname: Carlini
authors.forename: Mario
authors.initials: M
authors.lastname: Fusillo
authors.forename: Matteo
authors.initials: M
authors.lastname: Manuelli
authors.forename: Catherine
authors.initials: C
authors.lastname: Klersy
authors.forename: Noemi
authors.initials: N
authors.lastname: Pasqua
authors.forename: Elona
authors.initials: E
authors.lastname: Luka
authors.forename: Riccardo
authors.initials: R
authors.lastname: Albertini
authors.forename: Mara
authors.initials: M
authors.lastname: De Amici
authors.forename: Hellas
authors.initials: H
authors.lastname: Cena
mesh_terms: D000293:Adolescent; D000328:Adult; D000886:Anthropometry; D015415:Biomarkers / Q000032:analysis*; D001823:Body Composition; D015992:Body Mass Index; D016022:Case-Control Studies; D002648:Child; D002675:Child, Preschool; D002149:Energy Intake; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D024821:Metabolic Syndrome / Q000209:etiology / Q000378:metabolism*; D055442:Metabolome; D009422:Nervous System Diseases / Q000150:complications* / Q000503:physiopathology / Q000601:surgery; D009752:Nutritional Status; D011379:Prognosis; D012307:Risk Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers