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Newborn metabolic vulnerability profile identifies preterm infants at risk for mortality and morbidity.
Oltman, Scott P; Rogers, Elizabeth E; Baer, Rebecca J; Jasper, Elizabeth A; Anderson, James G; Steurer, Martina A; Pantell, Matthew S; Petersen, Mark A; Partridge, J Colin; Karasek, Deborah; Ross, Kharah M; Feuer, Sky K; Franck, Linda S; Rand, Larry; Dagle, John M; Ryckman, Kelli K; Jelliffe-Pawlowski, Laura L.
Affiliation
  • Oltman SP; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA. Scott.Oltman@ucsf.edu.
  • Rogers EE; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA. Scott.Oltman@ucsf.edu.
  • Baer RJ; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Jasper EA; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Anderson JG; Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
  • Steurer MA; Department of Epidemiology, University of Iowa, Iowa City, IA, USA.
  • Pantell MS; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Petersen MA; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Partridge JC; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Karasek D; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Ross KM; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Feuer SK; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
  • Franck LS; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Rand L; Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
  • Dagle JM; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.
  • Ryckman KK; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
  • Jelliffe-Pawlowski LL; Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
Pediatr Res ; 89(6): 1405-1413, 2021 05.
Article in En | MEDLINE | ID: mdl-33003189
BACKGROUND: Identifying preterm infants at risk for mortality or major morbidity traditionally relies on gestational age, birth weight, and other clinical characteristics that offer underwhelming utility. We sought to determine whether a newborn metabolic vulnerability profile at birth can be used to evaluate risk for neonatal mortality and major morbidity in preterm infants. METHODS: This was a population-based retrospective cohort study of preterm infants born between 2005 and 2011 in California. We created a newborn metabolic vulnerability profile wherein maternal/infant characteristics along with routine newborn screening metabolites were evaluated for their association with neonatal mortality or major morbidity. RESULTS: Nine thousand six hundred and thirty-nine (9.2%) preterm infants experienced mortality or at least one complication. Six characteristics and 19 metabolites were included in the final metabolic vulnerability model. The model demonstrated exceptional performance for the composite outcome of mortality or any major morbidity (AUC 0.923 (95% CI: 0.917-0.929). Performance was maintained across mortality and morbidity subgroups (AUCs 0.893-0.979). CONCLUSIONS: Metabolites measured as part of routine newborn screening can be used to create a metabolic vulnerability profile. These findings lay the foundation for targeted clinical monitoring and further investigation of biological pathways that may increase the risk of neonatal death or major complications in infants born preterm. IMPACT: We built a newborn metabolic vulnerability profile that could identify preterm infants at risk for major morbidity and mortality. Identifying high-risk infants by this method is novel to the field and outperforms models currently in use that rely primarily on infant characteristics. Utilizing the newborn metabolic vulnerability profile for precision clinical monitoring and targeted investigation of etiologic pathways could lead to reductions in the incidence and severity of major morbidities associated with preterm birth.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Premature / Infant Mortality / Morbidity Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Infant / Newborn / Pregnancy Language: En Journal: Pediatr Res Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Premature / Infant Mortality / Morbidity Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Infant / Newborn / Pregnancy Language: En Journal: Pediatr Res Year: 2021 Type: Article Affiliation country: United States