Browsing by Author "Clark, Erin A. S."

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    Genetic predictors of severe intraventricular hemorrhage in extremely low-birthweight infants
    (Springer Nature, 2021) Thornburg, Courtney D.; Erickson, Stephen W.; Page, Grier P.; Clark, Erin A. S.; DeAngelis, Margaret M.; Hartnett, M. Elizabeth; Goldstein, Ricki F.; Dagle, John M.; Murray, Jeffrey C.; Poindexter, Brenda B.; Das, Abhik; Cotten, C. Michael; Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network; Pediatrics, School of Medicine
    Objective: To test associations between grades 3 or 4 (severe) intraventricular hemorrhage (IVH) and single nucleotide polymorphisms (SNPs) associated with coagulation, inflammation, angiogenesis, and organ development in an exploratory study. Study design: Extremely low-birthweight (ELBW) infants enrolled in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network's (NRN) Cytokines Study were included if they had cranial ultrasound (CUS) and genotyping data available in the NRN Anonymized DNA Repository and Database. Associations between SNPs and IVH severity were tested with multivariable logistic regression analysis. Result: One hundred thirty-nine infants with severe IVH and 687 infants with grade 1 or 0 IVH were included. One thousand two hundred seventy-nine SNPs were genotyped. Thirteen were preliminarily associated with severe IVH including five related to central nervous system (CNS) neuronal and neurovascular development. Conclusion: Genetic variants for CNS neuronal and neurovascular development may be associated with severe IVH in premature infants.
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    Performance of a Multianalyte 'Rule-Out' Assay in Pregnant Individuals With Suspected Preeclampsia
    (Wolters Kluwer, 2022) Costantine, Maged M.; Sibai, Baha; Bombard, Allan T.; Sarno, Mark; West, Holly; Haas, David M.; Tita, Alan T.; Paidas, Michael J.; Clark, Erin A. S.; Boggess, Kim; Grotegut, Chad; Grobman, William; Su, Emily J.; Burd, Irina; Saade, George; Chavez, Martin R.; Paglia, Michael J.; Merriam, Audrey; Torres, Carlos; Habli, Mounira; Macones, Georges; Wen, Tony; Bofill, James; Palatnik, Anna; Edwards, Rodney K.; Haeri, Sina; Oberoi, Pankaj; Mazloom, Amin; Cooper, Matthew; Lockton, Steven; Hankins, Gary D.; Obstetrics and Gynecology, School of Medicine
    Background: The ability to diagnose preeclampsia clinically is suboptimal. Our objective was to validate a novel multianalyte assay and characterize its performance, when intended for use as an aid to rule-out preeclampsia. Methods: Prospective, multicenter cohort study of pregnant individuals presenting between 280/7 and 366/7 weeks' with preeclampsia-associated signs and symptoms. Individuals not diagnosed with preeclampsia after baseline evaluation were enrolled in the study cohort, with those who later developed preeclampsia, classified as cases and compared with a negative control group who did not develop preeclampsia. Individuals with assay values at time of enrollment ≥0.0325, determined using a previously developed algorithm, considered at risk. The primary analysis was the time to develop preeclampsia assessed using a multivariate Cox regression model. Results: One thousand thirty-six pregnant individuals were enrolled in the study cohort with an incidence of preeclampsia of 30.3% (27.6%-33.2%). The time to develop preeclampsia was shorter for those with an at-risk compared with negative assay result (log-rank P<0.0001; adjusted hazard ratio of 4.81 [3.69-6.27, P<0.0001]). The performance metrics for the assay to rule-out preeclampsia within 7 days of enrollment showed a sensitivity 76.4% (67.5%-83.5%), negative predictive value 95.0% (92.8%-96.6%), and negative likelihood ratio 0.46 (0.32-0.65). Assay performance improved if delivery occurred <37 weeks and for individuals enrolled between 28 and 35 weeks. Conclusions: We confirmed that a novel multianalyte assay was associated with the time to develop preeclampsia and has a moderate sensitivity and negative likelihood ratio but high negative predictive value when assessed as an aid to rule out preeclampsia within 7 days of enrollment.