Cioboata Daniela Mariana, Boia Marioara, Manea Aniko Maria, Costescu Oana Cristina, Costescu Sergiu, Doandes Florina Marinela, Popa Zoran Laurentiu, Sandesc Dorel
Department of Neonatology, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Doctoral School Department, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Pediatr Rep. 2024 Apr 24;16(2):313-326. doi: 10.3390/pediatric16020027.
This prospective study investigated the association between elevated neutrophil-to-monocyte ratio (NMR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP), procalcitonin, and tumor necrosis factor-alpha (TNF-alpha) and the risk of developing neurological complications in mechanically ventilated neonates. The aim was to evaluate these biomarkers' predictive value for neurological complications. Within a one-year period from January to December 2022, this research encompassed neonates born at ≥35 weeks of gestational age who required mechanical ventilation in the neonatal intensive care unit (NICU) from the first day of life. Biomarkers were measured within the first 24 h and at 72 h. Sensitivity, specificity, and area under the curve (AUC) values were calculated for each biomarker to establish the best cutoff values for predicting neurological complications. The final analysis included a total of 85 newborns, of which 26 developed neurological complications and 59 without such complications. Among the studied biomarkers, TNF-alpha at >12.8 pg/mL in the first 24 h demonstrated the highest predictive value for neurological complications, with a sensitivity of 82%, specificity of 69%, and the highest AUC (0.574, = 0.005). At 72 h, TNF-alpha levels greater than 14.3 pg/mL showed further increased predictive accuracy (sensitivity of 87%, specificity of 72%, AUC of 0.593, < 0.001). The NMR also emerged as a significant predictor, with a cutoff value of >5.3 yielding a sensitivity of 78% and specificity of 67% (AUC of 0.562, = 0.029) at 24 h, and a cutoff of >6.1 showing a sensitivity of 76% and specificity of 68% (AUC of 0.567, = 0.025) at 72 h. Conversely, CRP and procalcitonin showed limited predictive value at both time points. This study identifies TNF-alpha and NMR as robust early predictors of neurological complications in mechanically ventilated neonates, underscoring their potential utility in guiding early intervention strategies. These findings highlight the importance of incorporating specific biomarker monitoring in the clinical management of at-risk neonates to mitigate the incidence of neurological complications.
这项前瞻性研究调查了中性粒细胞与单核细胞比值(NMR)、淋巴细胞与单核细胞比值(LMR)、C反应蛋白(CRP)、降钙素原和肿瘤坏死因子-α(TNF-α)升高与机械通气新生儿发生神经并发症风险之间的关联。目的是评估这些生物标志物对神经并发症的预测价值。在2022年1月至12月的一年时间内,本研究纳入了胎龄≥35周、从出生第一天起就在新生儿重症监护病房(NICU)需要机械通气的新生儿。在出生后24小时内和72小时测量生物标志物。计算每个生物标志物的敏感性、特异性和曲线下面积(AUC)值,以确定预测神经并发症的最佳临界值。最终分析共纳入85例新生儿,其中26例发生神经并发症,59例未发生此类并发症。在所研究的生物标志物中,出生后24小时TNF-α>12.8 pg/mL对神经并发症的预测价值最高,敏感性为82%,特异性为69%,AUC最高(0.574,P = 0.005)。在72小时时,TNF-α水平大于14.3 pg/mL显示预测准确性进一步提高(敏感性为87%,特异性为72%,AUC为0.593,P < 0.001)。NMR也成为一个重要的预测指标,在24小时时临界值>5.3,敏感性为78%,特异性为67%(AUC为0.562,P = 0.029),在72小时时临界值>6.1,敏感性为76%,特异性为68%(AUC为0.567,P = 0.025)。相反,CRP和降钙素原在两个时间点的预测价值都有限。本研究确定TNF-α和NMR是机械通气新生儿神经并发症的有力早期预测指标,强调了它们在指导早期干预策略方面的潜在效用。这些发现突出了在高危新生儿的临床管理中纳入特定生物标志物监测以降低神经并发症发生率的重要性。