| Title: | Exhaled Volatile Organic Compounds for Early Prediction of Bronchopulmonary Dysplasia in Infants Born Preterm |
| Author(s): | Romijn M; van Kaam AH; Fenn D; Bos LD; van den Akker CHP; Finken MJJ; Rotteveel J; Cerullo J; Brinkman P; Onland W; |
| Address: | "Department of Pediatrics-Neonatology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands; Department of Pediatric-Endocrinology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. Department of Pediatrics-Neonatology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands. Department of Respiratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Department of Laboratory of Experimental Intensive Care and Anaesthesiology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands. Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands; Department of Pediatric-Endocrinology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. Division of Neonatolgy 'Villa dei Fiori' Hospital, Naples, Italy. Department of Respiratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands. Department of Pediatrics-Neonatology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands. Electronic address: w.onland@amsterdamumc.nl" |
| DOI: | 10.1016/j.jpeds.2023.02.014 |
| ISSN/ISBN: | 1097-6833 (Electronic) 0022-3476 (Linking) |
| Abstract: | "OBJECTIVE(S): To investigate the predictive performances of exhaled breath volatile organic compounds (VOCs) for development of bronchopulmonary dysplasia (BPD) in infants born preterm. METHODS: Exhaled breath was collected from infants born <30 weeks' gestation at days 3 and 7 of life. Ion fragments detected by gas chromatography-mass spectrometry analysis were used to derive and internally validate a VOC prediction model for moderate or severe BPD at 36 weeks of postmenstrual age. We tested the predictive performance of the National Institute of Child Health and Human Development (NICHD) clinical BPD prediction model with and without VOCs. RESULTS: Breath samples were collected from 117 infants (mean gestation 26.8 +/- 1.5 weeks). Thirty-three percent of the infants developed moderate or severe BPD. The VOC model showed a c-statistic of 0.89 (95% CI 0.80-0.97) and 0.92 (95% CI 0.84-0.99) for the prediction of BPD at days 3 and 7, respectively. Adding the VOCs to the clinical prediction model in noninvasively supported infants resulted in significant improvement in discriminative power on both days (day 3: c-statistic 0.83 vs 0.92, P value .04; day 7: c-statistic 0.82 vs 0.94, P value .03). CONCLUSIONS: This study showed that VOC profiles in exhaled breath of preterm infants on noninvasive support in the first week of life differ between those developing and not developing BPD. Adding VOCs to a clinical prediction model significantly improved its discriminative performance" |
| Keywords: | "Child Infant, Newborn Infant Humans *Bronchopulmonary Dysplasia/diagnosis Infant, Premature *Volatile Organic Compounds Models, Statistical Prognosis Gestational Age chronic lung disease exhaled breath prediction model preterm infant;" |
| Notes: | "MedlineRomijn, Michelle van Kaam, Anton H Fenn, Dominic Bos, Lieuwe D van den Akker, Chris H P Finken, Martijn J J Rotteveel, Joost Cerullo, Julia Brinkman, Paul Onland, Wes eng Research Support, Non-U.S. Gov't 2023/03/04 J Pediatr. 2023 Jun; 257:113368. doi: 10.1016/j.jpeds.2023.02.014. Epub 2023 Mar 2" |
