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Altered metabolites in newborns with persistent pulmonary hypertension.
Steurer, Martina A; Oltman, Scott; Baer, Rebecca J; Feuer, Sky; Liang, Liang; Paynter, Randi A; Rand, Larry; Ryckman, Kelli K; Keller, Roberta L; Jelliffe-Pawlowski, Laura L.
Affiliation
  • Steurer MA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA. SteurerMullerM@peds.ucsf.edu.
  • Oltman S; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. SteurerMullerM@peds.ucsf.edu.
  • Baer RJ; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA. SteurerMullerM@peds.ucsf.edu.
  • Feuer S; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Liang L; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Paynter RA; Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
  • Rand L; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Ryckman KK; Department of Genetics, Stanford University, Palo Alto, CA, USA.
  • Keller RL; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Jelliffe-Pawlowski LL; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Pediatr Res ; 84(2): 272-278, 2018 08.
Article in En | MEDLINE | ID: mdl-29895840
BACKGROUND: There is an emerging evidence that pulmonary hypertension is associated with amino acid, carnitine, and thyroid hormone aberrations. We aimed to characterize metabolic profiles measured by the newborn screen (NBS) in infants with persistent pulmonary hypertension of the newborn (PPHN) METHODS: Nested case-control study from population-based database. Cases were infants with ICD-9 code for PPHN receiving mechanical ventilation. Controls receiving mechanical ventilation were matched 2:1 for gestational age, sex, birth weight, parenteral nutrition administration, and age at NBS collection. Infants were divided into derivation and validation datasets. A multivariable logistic regression model was derived from candidate metabolites, and the area under the receiver operator characteristic curve (AUROC) was generated from the validation dataset. RESULTS: We identified 1076 cases and 2152 controls. Four metabolites remained in the final model. Ornithine (OR 0.32, CI 0.26-0.41), tyrosine (OR 0.48, CI 0.40-0.58), and TSH 0.50 (0.45-0.55) were associated with decreased odds of PPHN; phenylalanine was associated with increased odds of PPHN (OR 4.74, CI 3.25-6.90). The AUROC was 0.772 (CI 0.737-0.807). CONCLUSIONS: In a large, population-based dataset, infants with PPHN have distinct, early metabolic profiles. These data provide insight into the pathophysiology of PPHN, identifying potential therapeutic targets and novel biomarkers to assess the response.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Persistent Fetal Circulation Syndrome Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Newborn Language: En Journal: Pediatr Res Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Persistent Fetal Circulation Syndrome Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Newborn Language: En Journal: Pediatr Res Year: 2018 Type: Article Affiliation country: United States