Base excess as a predictor of neonatal mortality in neonatal sepsis

Sushrutha K. P., Hamsa M., Lingaraju N., Sampath Kumar C.
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Abstract

Background: Neonatal sepsis is responsible for approximately 15% of all neonatal deaths in the world. Despite of availability in advanced medical healthcare facilities for mother and neonates, incidence of mortality secondary to sepsis especially in developing countries like India is more common. Metabolic acidosis is the most common form of acid base imbalance in neonatal sepsis which can be analyzed with increased levels of base excess. Hence early diagnosis of neonatal sepsis can be done by determining base excess. Methods: This is a prospective observational study conducted in NICU at Cheluvamba Hospital, Mysore. 73 term neonates with suspected sepsis were enrolled in the study who were on regular follow-up and treatment till death/discharged from NICU. Base excess value is obtained from the arterial blood gas analysis from each subject and it was compared with survivor and non-survivor group along with other study parameter Results: Out of 73 subjects, incidence of non survivors group with severe increase in base excess is 75%. To predict the mortality, we compared it with standard base excess which showed the prediction of more than 60%, with significant AOC (0.827) of very near to one in ROC curve, with statistically significant (p<0.001) sensitivity of 92.59%, specificity of 63.04%, positive predictive value of 59.5%, negative predictive value of 93.5%. Conclusions: In present study we have proved that base excess is an important parameter for the early diagnosis and for early intervention in neonatal sepsis.
基数过大是新生儿败血症中新生儿死亡率的预测因素
背景:新生儿败血症约占全球新生儿死亡总数的 15%。尽管为母亲和新生儿提供了先进的医疗保健设施,但脓毒症继发死亡的情况却更为常见,尤其是在印度等发展中国家。代谢性酸中毒是新生儿败血症中最常见的酸碱失衡形式,可通过增加碱过量水平来分析。因此,可通过测定碱过量对新生儿败血症进行早期诊断。研究方法这是一项在迈索尔 Cheluvamba 医院新生儿重症监护室进行的前瞻性观察研究。73 名怀疑患有败血症的足月新生儿被纳入研究,他们一直接受定期随访和治疗,直至死亡或从新生儿重症监护室出院。从每个受试者的动脉血气分析中获得基线超常值,并与存活组和非存活组以及其他研究参数进行比较:在 73 名受试者中,非幸存者组中基础过量严重增加的发生率为 75%。为了预测死亡率,我们将其与标准基数超常率进行了比较,结果显示预测率超过了 60%,在 ROC 曲线中,AOC(0.827)非常接近 1,具有显著的统计学意义(p<0.001),灵敏度为 92.59%,特异性为 63.04%,阳性预测值为 59.5%,阴性预测值为 93.5%。结论本研究证明,基数过大是早期诊断和早期干预新生儿败血症的一个重要参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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