Ambalavanan Namasivayam, Carlo Waldemar A, D'Angio Carl T, McDonald Scott A, Das Abhik, Schendel Diana, Thorsen Poul, Higgins Rosemary D
Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL 35249, USA.
Pediatrics. 2009 Apr;123(4):1132-41. doi: 10.1542/peds.2008-0526.
The goal was to develop multivariate logistic regression models for the outcome of bronchopulmonary dysplasia and/or death at postmenstrual age of 36 weeks by using clinical and cytokine data from the first 28 days.
For 1067 extremely low birth weight infants in the Neonatal Research Network of the National Institute of Child Health and Human Development, levels of 25 cytokines were measured in blood collected within 4 hours after birth and on days 3, 7, 14, and 21. Stepwise regression analyses using peak levels of the 25 cytokines and 15 clinical variables identified variables associated with bronchopulmonary dysplasia/death. Multivariate logistic regression analysis was performed for bronchopulmonary dysplasia/death by using variables selected through stepwise regression. Similar analyses were performed by using average cytokine values from days 0 to 21, days 0 to 3, and days 14 to 21.
Of 1062 infants with available data, 606 infants developed bronchopulmonary dysplasia or died. On the basis of results from all models combined, bronchopulmonary dysplasia/death was associated with higher concentrations of interleukin 1beta, 6, 8, and 10 and interferon gamma and lower concentrations of interleukin 17, regulated on activation, normal T cell expressed and secreted, and tumor necrosis factor beta. Compared with models with only clinical variables, the addition of cytokine data improved predictive ability by a statistically significant but clinically modest magnitude.
The overall cytokine pattern suggests that bronchopulmonary dysplasia/death may be associated with impairment in the transition from the innate immune response mediated by neutrophils to the adaptive immune response mediated by T lymphocytes.
通过使用出生后前28天的临床和细胞因子数据,开发针对孕龄36周时支气管肺发育不良和/或死亡结局的多因素逻辑回归模型。
对于美国国立儿童健康与人类发展研究所新生儿研究网络中的1067例极低出生体重儿,在出生后4小时内以及出生后第3、7、14和21天采集的血液中检测25种细胞因子的水平。使用这25种细胞因子的峰值水平和15个临床变量进行逐步回归分析,以确定与支气管肺发育不良/死亡相关的变量。通过使用逐步回归选择的变量对支气管肺发育不良/死亡进行多因素逻辑回归分析。使用出生后0至21天、0至3天以及14至21天的细胞因子平均值进行类似分析。
在1062例有可用数据的婴儿中,606例发生了支气管肺发育不良或死亡。基于所有模型的综合结果,支气管肺发育不良/死亡与白细胞介素1β、6、8和10以及干扰素γ的较高浓度以及白细胞介素17、激活调节正常T细胞表达和分泌因子和肿瘤坏死因子β的较低浓度相关。与仅包含临床变量的模型相比,添加细胞因子数据可使预测能力有统计学显著但临床意义不大的提高。
整体细胞因子模式表明,支气管肺发育不良/死亡可能与从中性粒细胞介导的先天免疫反应向T淋巴细胞介导的适应性免疫反应转变过程中的损伤有关。