评估降钙素原和前列腺素在预测早发新生儿败血症方面的作用。

Sadia Israr, Asma Hayat, Tariq Mahmood, Amna Saddique, Nadia Ambreen, Rabiya Shabbir
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引用次数: 0

摘要

目的确定脐带血中前螺旋体蛋白和降钙素原的意义,并与乳酸和 C 反应蛋白进行比较,以早期预测新生儿败血症。研究设计:病例对照研究。研究地点拉瓦尔品第军事医院。时间: 2018年9月至2019年7月2018 年 9 月至 2019 年 7 月。研究方法纳入早产或胎膜早破、早产、戴处理、胎粪和引产失败的产妇。在 60 例新生儿中,19 例有明确文件证明怀疑败血症并经新生儿科医生确认,其余为对照组。计算了平均值和标准偏差。病例组和对照组之间所有生化指标水平的差异通过独立的 t 检验进行评估。用 medcalc 诊断计算器计算两种标记物的敏感性、特异性、准确性和预测值。通过回归分析获得强度。计算最准确截断值的接收者操作特征曲线和曲线下面积。结果独立样本 t 检验显示,降钙素原和前列腺素与新生儿败血症密切相关。前皮素的阳性预测值为 83.33%,阴性预测值为 90.48%,准确率为 88.33%,而降钙素原的阳性预测值为 62.50%,阴性预测值为 88.89%,准确率为 78.33%。逐步回归分析表明,在预测新生儿败血症方面,联合检测优于单一检测。降钙素原的临界值为 0.4ng/ml(AUC 为 84.5%),前螺旋体素的临界值为 305pg/ml(AUC 为 86.5%)。结论与乳酸盐和 CRP 相比,包含降钙素原和前胰蛋白酶这两种生化指标的预测模型可以及早发现新生儿败血症,从而降低婴儿死亡率和发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Procalcitonin and Presepsin in prediction for early onset neonatal sepsis.
Objective: To determine the presepsin and procalcitonin significance in cord blood and compare with lactate and C-Reactive protein for early prediction of neonatal sepsis. Study Design: Case Control Study. Setting: Military Hospital Rawalpindi. Period: Sep 2018 to July 2019. Methods: Mothers, having deliveries with early or prolonged rupture of membrane, preterm, dai handled, meconium and failure of induction have been included. Out of 60 neonates, nineteen were cases with a clearly documented suspicion of sepsis and confirmed by neonatologists, remaining were control. Mean and Standard Deviation were calculated. The difference in all biochemical markers levels among case and control groups were assessed by independent t-test. Sensitivity, specificity, accuracy, and predictive value of both markers were calculated by medcalc diagnostic calculator. Regression analysis to access the strength. Receiver Operating Characteristics curve for most accurate cut off values and Area Under the Curve was calculated. Results: Independent sample t test revealed the strong association of procalcitonin and presepsin with neonatal sepsis. Presepsin has higher positive predictive value 83.33% and negative predictive value 90.48% with 88.33% accuracy while procalcitonin has positive predictive value 62.50%, negative predictive value 88.89% and accuracy 78.33%. Stepwise regression analysis showed better in combination than single in predication of neonatal sepsis. The cutoff value for procalcitonin was 0.4ng/ml (AUC of 84.5%.) and for presepsin was 305pg/ml (AUC of 86.5%). Conclusion: In comparison to lactate and CRP, a prediction model that incorporates two biochemical indicators, procalcitonin and presepsin, can reduce infant mortality and morbidity by spotting neonatal sepsis early.
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