Marliese Dion Nist, PhD, RNC-NIC, is Postdoctoral Scholar, The Ohio State University College of Nursing, Columbus. Abigail B. Shoben, PhD, is Associate Professor, Division of Biostatistics, The Ohio State University College of Public Health, Columbus. Rita H. Pickler, PhD, RN, FAAN, is FloAnn Sours Easton Endowed Professor of Child and Adolescent Health, The Ohio State University College of Nursing, Columbus.
Nurs Res. 2020 Sep/Oct;69(5S Suppl 1):S11-S20. doi: 10.1097/NNR.0000000000000448.
Inflammation may be an important predictor of long-term neurodevelopment in preterm infants. The identification of specific inflammatory biomarkers that predict outcomes is an important research goal.
The purpose of this analysis was to identify associations between an early measure of inflammation and neurodevelopment in very preterm infants and to identify differences in the relationship between inflammation and neurodevelopment based on infant gender and race.
We conducted a secondary analysis of data from a randomized controlled trial of a caregiving intervention for preterm infants born less than 33 weeks postmenstrual age. Plasma was collected with a clinically indicated laboratory draw by neonatal intensive care unit nurses and analyzed by multiplex assay for cytokines, chemokines, and growth factors. Neurobehavior was assessed by research nurses at the time of discharge from the neonatal intensive care unit using the motor development and vigor and alertness/orientation clusters from the Neurobehavioral Assessment of the Preterm Infant. Neurodevelopment was assessed at 6 months corrected age by the developmental specialist in the hospital's neonatal follow-up clinic using the Bayley Scales of Infant Development, Third Edition. We used linear regressions to estimate the effect of cytokine levels on neurodevelopment and allowed the effects to differ by infant gender and race.
In a sample of 62 preterm infants with discharge neurobehavioral assessments and a sample of 40 preterm infants with 6-month neurodevelopmental assessments, we found inconsistent associations between single-time point inflammatory measures and neurobehavior or neurodevelopment in analyses of the total sample. However, regressions with interactions revealed effects for multiple inflammatory measures on early neurobehavior and neurodevelopment that differed by infant gender and race.
Although early single-time point measures of inflammation may be insufficient to predict neurodevelopment for all preterm infants, the effect of inflammation appears to differ by infant gender and race. These demographic factors may be important considerations for future studies of inflammation and neurodevelopment as well was the development of future interventions to optimize outcomes.
炎症可能是早产儿长期神经发育的一个重要预测因素。识别能够预测结局的特定炎症生物标志物是一个重要的研究目标。
本分析旨在确定极早产儿早期炎症指标与神经发育之间的关联,并根据婴儿性别和种族,确定炎症与神经发育之间关系的差异。
我们对一项针对小于 33 孕周早产儿的照护干预的随机对照试验的数据进行了二次分析。通过新生儿重症监护病房护士进行临床指示性实验室采血,采集血浆,并通过多重分析测定细胞因子、趋化因子和生长因子。在新生儿重症监护病房出院时,研究护士使用来自早产儿神经行为评估的运动发育和活力与警觉/定向簇对神经行为进行评估。在医院新生儿随访诊所,由发育专家在 6 个月校正年龄时使用贝利婴幼儿发育量表,第三版评估神经发育。我们使用线性回归来估计细胞因子水平对神经发育的影响,并允许影响因婴儿性别和种族而不同。
在有出院神经行为评估的 62 例早产儿样本和有 6 个月神经发育评估的 40 例早产儿样本中,我们在总样本的分析中发现,单次炎症指标与神经行为或神经发育之间的关联不一致。然而,带有交互作用的回归显示,多个炎症指标对早期神经行为和神经发育的影响因婴儿性别和种族而异。
尽管早期单次时间点的炎症指标可能不足以预测所有早产儿的神经发育,但炎症的影响似乎因婴儿性别和种族而异。这些人口统计学因素可能是未来炎症和神经发育研究以及优化结局的未来干预措施发展的重要考虑因素。