Suppr超能文献

评估炎症生物标志物以识别无气腹的早产儿的手术/死亡坏死性小肠结肠炎。

Assessment of inflammatory biomarkers to identify surgical/death necrotizing enterocolitis in preterm infants without pneumoperitoneum.

机构信息

Institute of Pediatrics, Children's Hospital of Fudan University, National Children's Medical Center, and the Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.

National Health Commission Key Laboratory of Neonatal Diseases, Fudan University, Shanghai, China.

出版信息

Pediatr Surg Int. 2024 Jul 16;40(1):191. doi: 10.1007/s00383-024-05787-w.

Abstract

BACKGROUND

Necrotizing enterocolitis (NEC) is a life-threatening disease that affects premature infants. However, the role of inflammatory biomarkers in identifying surgical/death NEC without pneumoperitoneum remains elusive.

PURPOSE

We aimed to verify the value of platelet-to-lymphocyte ratio (PLR) and the combination of white blood cell (WBC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), neutrophil lymphocyte ratio (NLR), PLR, C reactive protein (CRP) and procalcitonin (PCT) in predicting the severity of NEC, and to construct a model to differ surgically NEC from non-surgically NEC.

METHODS

A retrospective analysis was performed on 191 premature infants with NEC. Based on the inclusion and exclusion criteria, 90 infants with Stage II and IIIA NEC were enrolled in this study, including surgical/death NEC (n = 38) and medical NEC (n = 52). The values of inflammatory biomarkers were collected within 24 h of onset.

RESULTS

The univariate analysis revealed that the values of WBC (p = 0.040), ANC (p = 0.048), PLR (p = 0.009), CRP (p = 0.016) and PCT (p < 0.01) in surgical/death NEC cohort were significantly higher than medical NEC cohort. Binary multivariate logistic regression analysis indicates that ANC, PLR, CRP, and PCT are capable of distinguishing infants with surgical/death NEC, and the AUC of the regression equation was 0.79 (95% CI 0.64-0.89; sensitivity 0.63; specificity 0.88), suggesting the equation has a good discrimination.

IMPLICATIONS FOR PRACTICE AND RESEARCH

Elevated PLR is associated with severe inflammation in surgical/death NEC patients. The prediction modelling of combination of ANC, PLR, CRP and PCT can differentiate surgical/death NEC from infants with medical NEC, which may improve risk awareness and facilitate effective communication between nurses and clinicians. However, multicentre research is needed to verify these findings for better clinical management of NEC.

摘要

背景

坏死性小肠结肠炎(NEC)是一种危及生命的疾病,影响早产儿。然而,炎症生物标志物在识别无气腹手术/死亡 NEC 中的作用仍不清楚。

目的

我们旨在验证血小板与淋巴细胞比值(PLR)以及白细胞(WBC)、绝对中性粒细胞计数(ANC)、绝对淋巴细胞计数(ALC)、中性粒细胞与淋巴细胞比值(NLR)、PLR、C 反应蛋白(CRP)和降钙素原(PCT)联合预测 NEC 严重程度的价值,并构建一种模型来区分手术 NEC 与非手术 NEC。

方法

对 191 例 NEC 早产儿进行回顾性分析。根据纳入和排除标准,纳入 90 例 II 期和 IIIA 期 NEC 患儿,其中手术/死亡 NEC(n=38)和非手术 NEC(n=52)。在发病后 24 小时内收集炎症生物标志物值。

结果

单因素分析显示,手术/死亡 NEC 组的 WBC(p=0.040)、ANC(p=0.048)、PLR(p=0.009)、CRP(p=0.016)和 PCT(p<0.01)值明显高于非手术 NEC 组。二元多变量逻辑回归分析表明,ANC、PLR、CRP 和 PCT 能够区分手术/死亡 NEC 患儿,回归方程的 AUC 为 0.79(95%CI 0.64-0.89;灵敏度 0.63;特异性 0.88),提示该方程具有良好的判别能力。

结论

PLR 升高与手术/死亡 NEC 患儿的严重炎症有关。ANC、PLR、CRP 和 PCT 联合预测模型可区分手术/死亡 NEC 与非手术 NEC 患儿,可能提高风险意识,促进护士与临床医生之间的有效沟通。然而,需要多中心研究来验证这些发现,以更好地管理 NEC。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验