OBJECTIVE: To explore the association between multiple umbilical cord blood proteins and severity of hypoxic-ischemic encephalopathy as defined by continuous multichannel electroencephalography. DESIGN: A prospective case-control cohort study, which was divided into separate exploratory and validation cohorts. SETTING: A single tertiary neonatal intensive care facility. PATIENTS: The study recruited full-term infants with perinatal asphyxia and controls. Identical procedures were used to recruit a representative exploratory sample (n = 30) and a subsequent validation cohort (n = 100). INTERVENTION: All had umbilical cord blood drawn and biobanked at delivery, continuous multichannel electroencephalography commenced in the first 24 hours, and a modified Sarnat score assigned. Analysis of 37 potential cord blood protein markers of hypoxic-ischemic encephalopathy was performed using Luminex multiplex assays. MEASUREMENTS AND RESULTS: Cord blood from 130 infants was analyzed. Interleukin-16 and interleukin-6 significantly differentiated between a moderate-severely abnormal and normal-mildly abnormal electroencephalography background in both exploratory (p = 0.005 and p = 0.016, respectively) and validation cohorts (p = 0.039 and p = 0.024, respectively). To develop a predictive model for a moderate-severely abnormal electroencephalography, stepwise regression analysis was used to combine these analytes with current standard clinical markers of asphyxia (pH, base deficit, and 10-min Apgar). Only Apgar score and interleukin-16 remained in the model, which was highly predictive of an abnormal electroencephalography (area under the curve [AUC] = 0.956, p < 0.001, positive predictive value = 89%, and negative predictive value = 94%). CONCLUSIONS: Cord blood interleukin-6 and interleukin-16 were associated with electrographic grade of hypoxic-ischemic encephalopathy. To predict an abnormal electroencephalography, interleukin-16 and 10-minute Apgar used in combination performed better than current markers.
OBJECTIVE: To explore the association between multiple umbilical cord blood proteins and severity of hypoxic-ischemicencephalopathy as defined by continuous multichannel electroencephalography. DESIGN: A prospective case-control cohort study, which was divided into separate exploratory and validation cohorts. SETTING: A single tertiary neonatal intensive care facility. PATIENTS: The study recruited full-term infants with perinatal asphyxia and controls. Identical procedures were used to recruit a representative exploratory sample (n = 30) and a subsequent validation cohort (n = 100). INTERVENTION: All had umbilical cord blood drawn and biobanked at delivery, continuous multichannel electroencephalography commenced in the first 24 hours, and a modified Sarnat score assigned. Analysis of 37 potential cord blood protein markers of hypoxic-ischemicencephalopathy was performed using Luminex multiplex assays. MEASUREMENTS AND RESULTS: Cord blood from 130 infants was analyzed. Interleukin-16 and interleukin-6 significantly differentiated between a moderate-severely abnormal and normal-mildly abnormal electroencephalography background in both exploratory (p = 0.005 and p = 0.016, respectively) and validation cohorts (p = 0.039 and p = 0.024, respectively). To develop a predictive model for a moderate-severely abnormal electroencephalography, stepwise regression analysis was used to combine these analytes with current standard clinical markers of asphyxia (pH, base deficit, and 10-min Apgar). Only Apgar score and interleukin-16 remained in the model, which was highly predictive of an abnormal electroencephalography (area under the curve [AUC] = 0.956, p < 0.001, positive predictive value = 89%, and negative predictive value = 94%). CONCLUSIONS: Cord blood interleukin-6 and interleukin-16 were associated with electrographic grade of hypoxic-ischemicencephalopathy. To predict an abnormal electroencephalography, interleukin-16 and 10-minute Apgar used in combination performed better than current markers.
Authors: Niamh M Denihan; Jennifer A Kirwan; Brian H Walsh; Warwick B Dunn; David I Broadhurst; Geraldine B Boylan; Deirdre M Murray Journal: J Cereb Blood Flow Metab Date: 2017-08-25 Impact factor: 6.200
Authors: Catherine Mooney; Daragh O'Boyle; Mikael Finder; Boubou Hallberg; Brian H Walsh; David C Henshall; Geraldine B Boylan; Deirdre M Murray Journal: Heliyon Date: 2021-06-29
Authors: Aisling A Garvey; Andreea M Pavel; John M O'Toole; Brian H Walsh; Irina Korotchikova; Vicki Livingstone; Eugene M Dempsey; Deirdre M Murray; Geraldine B Boylan Journal: Pediatr Res Date: 2021-04-20 Impact factor: 3.756