Nienke Wagenaar1, Vann Chau2, Floris Groenendaal3, Karina J Kersbergen3, Kenneth J Poskitt4, Ruth E Grunau4, Anne Synnes4, Emma G Duerden5, Linda S de Vries3, Steven P Miller2, Manon J N L Benders6. 1. Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands; Department of Pediatrics, The Hospital for Sick Children and University of Toronto, Toronto, Ontario, Canada. 2. Department of Pediatrics, The Hospital for Sick Children and University of Toronto, Toronto, Ontario, Canada; Department of Pediatrics, University of British Columbia, British Columbia Children's and Women's Hospitals, Child and Family Research Institute, Vancouver, British Columbia, Canada. 3. Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands. 4. Department of Pediatrics, University of British Columbia, British Columbia Children's and Women's Hospitals, Child and Family Research Institute, Vancouver, British Columbia, Canada. 5. Department of Pediatrics, The Hospital for Sick Children and University of Toronto, Toronto, Ontario, Canada. 6. Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: m.benders@umcutrecht.nl.
Abstract
OBJECTIVE: To identify clinical risk factors for punctate white matter lesions (PWML) on early magnetic resonance imaging (MRI) in 2 cohorts of newborns born extremely preterm in different neonatal centers. STUDY DESIGN: A total of 250 newborns born preterm at less than 28 weeks of gestation (mean 26.4 ± 1.1 weeks) with an early MRI were identified from 2 neonatal centers, in Vancouver, Canada (cohort A, n = 100) and Utrecht, the Netherlands (cohort B, n = 150). Cohort A was imaged as part of a prospective research study and cohort B was imaged as part of routine clinical care. PWML were defined as cluster type foci of hyperintensity on T1-weighted imaging and were identified at a mean postmenstrual age of 31.1 (±1.9) weeks. Multivariable analysis was used to identify clinical factors predictive of PWML. RESULTS: Cluster type PWML were found in 47 newborns born extremely preterm (18.8%) and were more common in cohort A (32%) than in cohort B (10%). Newborns in cohort A generally were sicker than those in cohort B. Multivariable analyses revealed that greater birth weight (B = 0.002; P < .02), grade II-III intraventricular hemorrhage (B = 0.83; P < .02), and cohort A (B = 1.34; P < .0001) were independent predictors of PWML. CONCLUSION: Several risk factors for PWML on early MRI were identified. The interaction among birth weight, intraventricular hemorrhage, and other aspects of postnatal illness as risk factors for PWML warrants further investigation in newborns born extremely preterm and may help to identify modifiable risk factors for PWML.
OBJECTIVE: To identify clinical risk factors for punctate white matter lesions (PWML) on early magnetic resonance imaging (MRI) in 2 cohorts of newborns born extremely preterm in different neonatal centers. STUDY DESIGN: A total of 250 newborns born preterm at less than 28 weeks of gestation (mean 26.4 ± 1.1 weeks) with an early MRI were identified from 2 neonatal centers, in Vancouver, Canada (cohort A, n = 100) and Utrecht, the Netherlands (cohort B, n = 150). Cohort A was imaged as part of a prospective research study and cohort B was imaged as part of routine clinical care. PWML were defined as cluster type foci of hyperintensity on T1-weighted imaging and were identified at a mean postmenstrual age of 31.1 (±1.9) weeks. Multivariable analysis was used to identify clinical factors predictive of PWML. RESULTS:Cluster type PWML were found in 47 newborns born extremely preterm (18.8%) and were more common in cohort A (32%) than in cohort B (10%). Newborns in cohort A generally were sicker than those in cohort B. Multivariable analyses revealed that greater birth weight (B = 0.002; P < .02), grade II-III intraventricular hemorrhage (B = 0.83; P < .02), and cohort A (B = 1.34; P < .0001) were independent predictors of PWML. CONCLUSION: Several risk factors for PWML on early MRI were identified. The interaction among birth weight, intraventricular hemorrhage, and other aspects of postnatal illness as risk factors for PWML warrants further investigation in newborns born extremely preterm and may help to identify modifiable risk factors for PWML.
Authors: Clara Adriana Maria de Bruijn; Stefano Di Michele; Maria Luisa Tataranno; Luca Antonio Ramenghi; Andrea Rossi; Mariya Malova; Manon Benders; Agnes van den Hoogen; Jeroen Dudink Journal: Pediatr Res Date: 2022-09-09 Impact factor: 3.953
Authors: Daniel Bierstone; Nienke Wagenaar; Dawn L Gano; Ting Guo; Gregory Georgio; Floris Groenendaal; Linda S de Vries; Jojy Varghese; Hannah C Glass; Catherine Chung; Jefferson Terry; Maarten Rijpert; Ruth E Grunau; Anne Synnes; A James Barkovich; Donna M Ferriero; Manon Benders; Vann Chau; Steven P Miller Journal: JAMA Pediatr Date: 2018-06-01 Impact factor: 16.193
Authors: Emma G Duerden; Ruth E Grunau; Vann Chau; Floris Groenendaal; Ting Guo; M Mallar Chakravarty; Manon Benders; Nienke Wagenaar; Rian Eijsermans; Corine Koopman; Anne Synnes; Linda de Vries; Steven P Miller Journal: Neurology Date: 2020-10-21 Impact factor: 9.910
Authors: Christopher J Kelly; Sophie Arulkumaran; Catarina Tristão Pereira; Lucilio Cordero-Grande; Emer J Hughes; Rui Pedro A G Teixeira; Johannes K Steinweg; Suresh Victor; Kuberan Pushparajah; Joseph V Hajnal; John Simpson; A David Edwards; Mary A Rutherford; Serena J Counsell Journal: Arch Dis Child Date: 2019-06-26 Impact factor: 3.791