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预测因素和危重病新生儿急性肾损伤(aki)的风险评分系统:一项前瞻性队列研究。

Predictive factors and risk scoring system for acute kidney injury (aki) in sick neonates-a prospective cohort study.

机构信息

Neonatal Unit, Department of Pediatrics, Post Graduate Institute of Medical Education And Research (PGIMER), Chandigarh, India.

出版信息

Eur J Pediatr. 2024 Dec;183(12):5419-5424. doi: 10.1007/s00431-024-05816-9. Epub 2024 Oct 16.

Abstract

UNLABELLED

Neonatal AKI (acute kidney injury) is an underreported entity in sick neonates associated with significant morbidity and mortality. This 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 h of life were excluded. AKI was defined and categorized as per KDIGO guidelines. Two hundred and seventy-six neonates were enrolled over 1 year, of which 115 (42%) had AKI. 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.

CONCLUSIONS

Nearly half of sick neonates admitted to NICU have AKI, which is maximum in extremely preterm infants. Sepsis, invasive ventilation, acidosis, and perinatal asphyxia have good diagnostic accuracy in identifying neonates likely to develop AKI.

WHAT IS KNOWN

• Asphyxia, prematurity, sepsis, shock, hypotension, drugs, congenital heart diseases contribute to neonatal AKI.

WHAT IS NEW

• Our simple risk prediction model can be used in sick neonates to identify infants who are at risk for developing AKI.

摘要

背景

新生儿急性肾损伤(AKI)是与较高发病率和死亡率相关的危重新生儿中报告不足的实体。本研究旨在探讨危重新生儿 AKI 的发生率、危险因素和结局。

方法

我们纳入了入住三级新生儿重症监护病房的危重新生儿。排除了有先天畸形且生后 72 小时内死亡的新生儿。AKI 的定义和分类均按照 KDIGO 指南进行。在 1 年的时间内共纳入了 276 例新生儿,其中 115 例(42%)患有 AKI。极高早产儿(<28 周)中 AKI 的发生率最高,有 27/38 例(71%)。Cox 回归分析显示,败血症、有创通气、酸中毒和围产期窒息与 AKI 显著相关,风险比(95%CI)分别为 4(1.21-13.42)、2.3(1.32-4.03)、1.9(1.13-3.36)和 1.5(1.04-2.31)。使用上述 4 个预测因素构建的风险预测模型具有良好的诊断准确性(曲线下面积为 83.6%),敏感性和特异性分别为 77%和 80%。与未发生 AKI 的患儿相比,发生 AKI 的患儿死亡率显著升高(n=45/115[39%]vs.n=5/161[3%],p<0.01)。

结论

入住新生儿重症监护病房的危重新生儿近一半患有 AKI,其中极高早产儿的 AKI 发生率最高。败血症、有创通气、酸中毒和围产期窒息对识别可能发生 AKI 的新生儿具有较好的诊断准确性。

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