Predictive Factors and Risk Scoring System for Acute Kidney Injury (AKI) in Sick Neonates-A Prospective Cohort Study

Author:

Ramya Kagnur1,Mukhopadhyay Kanya1,Kumar Jogender1

Affiliation:

1. Post Graduate Institute of Medical Education And Research (PGIMER)

Abstract

Abstract

Background Neonatal AKI (Acute kidney injury) is an underreported entity in sick neonates associated with significant morbidity and mortality. Methods It was a prospective cohort study, to study the incidence, risk factors, and outcomes of AKI among sick neonates. We included sick inborn neonates admitted at a level III neonatal intensive care unit. Neonates with congenital anomalies and who died within 72 hours of life were excluded. AKI was defined and categorized as per KDIGO guidelines. Results Two hundred and seventy-six neonates were enrolled over 1 year, of which 115(42%) had AKI. AKI was higher in the first week of life as compared to beyond the first week n = 103/115 (89%) vs. n = 12/115 (7%), p = < 0.01). The incidence of AKI was highest n = 27/38 (71%) among extremely preterm (< 28 weeks) infants. On Cox regression analysis, sepsis, invasive ventilation, acidosis, and perinatal asphyxia were significantly associated with AKI with a hazard ratio (95% CI) of 4 (1.21–13.42), 2.3 (1.32–4.03), 1.9 (1.13–3.36), and 1.5 (1.04–2.31), respectively. The risk prediction model, using the 4 predictors mentioned above, had good diagnostic accuracy (area under the curve- 83.6%) with a sensitivity and specificity of 77% and 80%, respectively. Infants with AKI have significantly higher mortality, compared to those who did not have AKI n = 45/115(39%) vs. n = 5/161 (3%), p < 0.01. Conclusion Nearly half of sick neonates admitted to NICU have AKI, and is maximum in extremely preterm infants. Sepsis, invasive ventilation, acidosis, and perinatal asphyxia have good diagnostic accuracy in identifying neonates likely to develop AKI.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3