310: Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study

310: Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study

Poster Session II ajog.org weeks’ gestation within 48 hours of delivery, stored in DICOM format and analyzed with quantusFLMÒ. Physicians were blinde...

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Poster Session II

ajog.org weeks’ gestation within 48 hours of delivery, stored in DICOM format and analyzed with quantusFLMÒ. Physicians were blinded to the analysis. At delivery, perinatal outcomes and the occurrence of neonatal respiratory morbidity, defined as either respiratory distress syndrome or transient tachypnea of the newborn, were registered. The performance of the ultrasound texture analysis test to predict neonatal respiratory morbidity was evaluated. RESULTS: A total of 880 images were collected but 17.2% were discarded due to poor image quality or exclusion criteria, leaving 730 observations for the final analysis. The prevalence of neonatal respiratory morbidity was 13.8% (101/730). quantusFLMÒ predicted neonatal respiratory morbidity with a sensitivity, specificity, and positive and negative predictive value of 74.3% (75/101), 88.6% (557/629), 51.0% (75/147), and 95.5% (557/583), respectively. Accuracy was of a 86.5% (632/730) and positive and negative likelihood ratios were 6.5 and 0.3, respectively. CONCLUSION: quantusFLMÒ predicted neonatal respiratory morbidity with an accuracy similar to that previously reported for other tests with the advantage of being a non-invasive technique.

310 Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study Montse Palacio1,2, Elisenda Bonet-carne3, Teresa Cobo1, Alvaro Perez-moreno3, Joan Sabria`1, Jute Richter4, Marian Kacerovsky5, Bo Jacobsson6,7, Rau´l A. Garcı´a-posada8, Fernando Bugatto9, Ramon Santisteve10, A`ngels Vives11, Mauro Parra-cordero12, Edgar Hernandez-andrade13,14, Jose´ Luis Bartha15, Pilar Carretero-lucena16, Kai Lit17, Rogelio Cruz18, Minke Burke19, Suseela Vavilala20, Igor Iruretagoyena21, Juan Luis Delgado22, Mauro Schenone23, Josep Vilanova24, on behalf of the Fetal Lung Texture Team 1 BCNatal-University of Barcelona, Barcelona, Spain, 2CIBER-ER, Barcelona, Spain, 3Transmural Biotech SL., Barcelona, Spain, 4KU Leuven, Leuven, Belgium, 5University Hospital Hradec Kralove, Hradec Kralove, Czech Republic, 6Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden, 7Norwegian Institute of Public Health, Oslo, Norway, 8Clínica del Prado, Medellín, Antioquía, Colombia, 9University Hospital Puerta del Mar, Cadiz, Spain, 10Hospital de Sant Joan de Déu, Manresa, Spain, 11Consorci Sanitari de Terrassa, Terrassa, Spain, 12University of Chile Hospital, Santiago de Chile, Chile, 13Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 14Wayne State University, Hutzel Women’s Hospital, Detroit, MI, 15University Hospital La Paz, Madrid, Spain, 16 University Hospital of Granada, Granada, Spain, 17Department of Maternal Fetal Medicine, KK Women’s & Children’s Hospital, Singapore., Singapore, 18 Children’s Hospital of Querétaro, Querétaro, Mexico, 19Royal Prince Alfred Hospital Sydney, University of Sydney, Sydney, NSW, Australia, 20Fernández Hospital, Hyberabad, India, 21University of Wisconsin, Madison, WI, 22 ‘Virgen de la Arrixaca’, Murcia, Spain, 23University of Tennessee Health Science Center, Memphis, TN, 24Hospital Nostra Senyora de Meritxell, Escaldes-Engordany, Andorra

OBJECTIVE: Prediction of neonatal respiratory morbidity may be

useful to plan delivery in complicated pregnancies. The limited predictive performance of the current diagnostic tests together with the risks of an invasive procedure, limit the use of fetal lung maturity assessment. The aim of this study was to evaluate the performance of quantitative ultrasound texture analysis (quantusFLMÒ) to predict neonatal respiratory morbidity in preterm and early-term (<39.0 weeks) deliveries. STUDY DESIGN: A prospective multicenter study in 20 centers worldwide. Fetal lung ultrasound images were obtained at 25.0-38.6

311 Risk of preterm birth by subtype for infants with gastroschisis Rebecca J. Baer1,2, Larry Rand2,3, Christina D. Chambers1, Kelli K. Ryckman4, Scott P. Oltman2,5, Laura L. Jelliffe-Pawlowski2,5 1

Department of Pediatrics, University of California San Diego, La Jolla, CA, California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, 3Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, 4 Departments of Epidemiology and Pediatrics, University of Iowa, Iowa City, IA, 5Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 2

OBJECTIVE: Examine the association between gastroschisis and the risk of preterm birth (< 37 weeks) by timing and subtype. STUDY DESIGN: The study population was drawn from singleton live births in California from 2007 through 2012 from a birth cohort file maintained by the California Office of Statewide Health Planning and Development, which includes linked birth certificate and mother and infant hospital discharge records. The sample was restricted to infants delivered between 20 and 42 weeks gestation where the infant had no major malformations other than gastroschisis. Gastroschisis was defined as an ICD-9 diagnostic code or repair procedure for gastroschisis (n ¼ 1421). Infants without such code served as the referent population (n ¼ 2,890,541). Relative risks (RRs) and their 95% confidence intervals (CI) were calculated for preterm birth by timing (< 34, 34 to 36, and any < 37 weeks) and by subtype (preterm premature rupture of the membranes (PPROM),

S190 American Journal of Obstetrics & Gynecology Supplement to JANUARY 2017