Literature DB >> 29091782

Ante-, peri- and postnatal factors associated with intraventricular hemorrhage in very premature infants.

Martin Poryo1, Judith Caroline Boeckh2, Ludwig Gortner3, Michael Zemlin3, Perrine Duppré4, Daniel Ebrahimi-Fakhari4, Stefan Wagenpfeil5, Matthias Heckmann6, Eva Mildenberger7, Anne Hilgendorff8, Andreas W Flemmer8, Georg Frey9, Sascha Meyer10.   

Abstract

BACKGROUND: Intraventricular hemorrhage (IVH) is one of the most serious complications in preterm infants and is associated with neurological sequelae and mortality. Over the past few decades, the rate of IVH has decreased due to improved neonatal intensive care. However, up to 15-25% of very and extremely premature infants (<32 and <28weeks of pregnancy (WOP) respectively) still suffer from IVH. STUDY
PURPOSE: The aim of this study was to perform an updated, multicenter analysis to identify ante-, peri, and postnatal factors other than gestational age/birth weight associated with IVH of any grade in a large cohort of very and extremely premature infants.
METHODS: We performed a retrospective analysis in a prospectively conducted multicenter cohort study between 01/01/1998-31/12/2012 at 5 level 3 perinatal centers. All relevant ante-, peri- and neonatal data were collected and univariate as well as multivariate logistic regression analysis was performed.
RESULTS: 765 inborn infants with a gestational age<32 WOP were enrolled into this study (369 (48.2%) female; 396 (51.8%) male). Birth weight ranged from 315g to 2200g (mean 1149.7g, SD 371.9g); 279 (36.5%) were born ≤27+6 WOP and 486 (63.5%)≥28+0 WOP. IVH was seen in 177 (23.1%) patients. Multivariate analysis revealed that in addition to higher gestational age (OR 0.7, CI [0.6-0.8]), antenatal steroid treatment (OR 0.3, CI [0.2-0.6]) and caesarian section without uterine contraction (OR 0.6, CI [0.4-0.9]) were associated with a lower rate of IVH while RDS (OR 5.6, CI [1.3-24.2]), pneumothorax (OR 2.8, CI [1.4-5.5]) and use of catecholamines (OR 2.7, CI [1.7-4.5]) were associated with an increased risk of IVH. After exclusion of gestational age and birth weight from multivariate analysis, early onset sepsis (OR 1.6, CI [1.01-2.7]) and patent ductus arteriosus (OR 1.9, CI [1.1-3.1]) were associated with a higher rate of IVH. In addition, univariate analysis revealed that Apgar scores at 5min (p<0.001), BDP/ROP/NEC (p<0.001), mechanical ventilation (p<0.001) and inhalative nitric oxide (p<0.001) were significantly associated with IVH.
CONCLUSIONS: Our comprehensive analysis demonstrated that the occurrence of IVH in very premature infants is significantly associated with ante-, peri- and postnatal factors being either related to the degree of immaturity or indicating a critical clinical course after birth. The analysis reiterates the necessity for a very close cooperation between obstetricians and neonatologists to reduce the incidence of IVH in this susceptible cohort.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Intraventricular hemorrhage; Neonatal complications; Premature infants

Mesh:

Substances:

Year:  2017        PMID: 29091782     DOI: 10.1016/j.earlhumdev.2017.08.010

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  17 in total

1.  IVH scoring system.

Authors:  Aakash Pandita; Namita Mishra; Girish Gupta; Kirti Naranje; Anita Singh
Journal:  Childs Nerv Syst       Date:  2018-01-10       Impact factor: 1.475

2.  Late-onset group B streptococcus infections and severe bronchopulmonary dysplasia in an extremely preterm born infant.

Authors:  Raymond Suffolk; Lone Agertoft; Malene Johansen; Gitte Zachariassen
Journal:  BMJ Case Rep       Date:  2019-07-26

Review 3.  Intraventricular hemorrhage and posthemorrhagic hydrocephalus in preterm infants: diagnosis, classification, and treatment options.

Authors:  Paola Valdez Sandoval; Paola Hernández Rosales; Deyanira Gabriela Quiñones Hernández; Eva Alejandra Chavana Naranjo; Victor García Navarro
Journal:  Childs Nerv Syst       Date:  2019-04-05       Impact factor: 1.475

4.  Risk factors of cerebral palsy in children: a systematic review and meta-analysis.

Authors:  Dandan Chen; Meiyuan Huang; Yangyan Yin; Dongmei Gui; Yuniao Gu; Taiping Zhuang; Caihua Chen; Kaiming Huo
Journal:  Transl Pediatr       Date:  2022-04

5.  Influence of Timing of Antenatal Corticosteroid Administration on Morbidity of Preterm Neonates.

Authors:  Patrick Morhart; Janis Gärtner; Christel Weiss; Florian Matthias Stumpfe; Ulf Dammer; Florian Faschingbauer; Fabian B Fahlbusch; Matthias W Beckmann; Sven Kehl
Journal:  In Vivo       Date:  2022 Jul-Aug       Impact factor: 2.406

6.  Seizures in Pre-term Infants Less than 29 Weeks: Incidence, Etiology, and Response to Treatment.

Authors:  Talkad S Raghuveer; Rosey E Zackula; Logan C Gibson; Rebecca J Martin; Subhash Shah
Journal:  Kans J Med       Date:  2020-06-25

7.  Extended Combined Neonatal Treatment With Erythropoietin Plus Melatonin Prevents Posthemorrhagic Hydrocephalus of Prematurity in Rats.

Authors:  Shenandoah Robinson; Fatu S Conteh; Akosua Y Oppong; Tracylyn R Yellowhair; Jessie C Newville; Nagat El Demerdash; Christine L Shrock; Jessie R Maxwell; Stephen Jett; Frances J Northington; Lauren L Jantzie
Journal:  Front Cell Neurosci       Date:  2018-09-25       Impact factor: 5.505

8.  The heme and radical scavenger α1-microglobulin (A1M) confers early protection of the immature brain following preterm intraventricular hemorrhage.

Authors:  Olga Romantsik; Alex Adusei Agyemang; Snjolaug Sveinsdóttir; Sigurbjörg Rutardóttir; Bo Holmqvist; Magnus Cinthio; Mattias Mörgelin; Gulcin Gumus; Helena Karlsson; Stefan R Hansson; Bo Åkerström; David Ley; Magnus Gram
Journal:  J Neuroinflammation       Date:  2019-06-07       Impact factor: 8.322

9.  Chorioamnionitis Is a Risk Factor for Intraventricular Hemorrhage in Preterm Infants: A Systematic Review and Meta-Analysis.

Authors:  Eduardo Villamor-Martinez; Monica Fumagalli; Owais Mohammed Rahim; Sofia Passera; Giacomo Cavallaro; Pieter Degraeuwe; Fabio Mosca; Eduardo Villamor
Journal:  Front Physiol       Date:  2018-09-11       Impact factor: 4.566

10.  Machine learning models for identifying preterm infants at risk of cerebral hemorrhage.

Authors:  Varvara Turova; Irina Sidorenko; Laura Eckardt; Esther Rieger-Fackeldey; Ursula Felderhoff-Müser; Ana Alves-Pinto; Renée Lampe
Journal:  PLoS One       Date:  2020-01-15       Impact factor: 3.240

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