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NT-proBNP 和 Z 变换 NT-proBNP 值可预测伴有肺动脉高压和心室功能障碍的危重新生儿拔管失败。

NT-proBNP and Zlog-transformed NT-proBNP values predict extubation failure in critically ill neonates with pulmonary hypertension and ventricular dysfunction.

机构信息

Department of Neonatology and Pediatric Intensive Care Medicine, University Children's Hospital Bonn, Bonn, Germany.

Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany.

出版信息

Pediatr Pulmonol. 2023 Jan;58(1):253-261. doi: 10.1002/ppul.26193. Epub 2022 Oct 17.

Abstract

OBJECTIVES

Critically ill neonates with a history of pulmonary hypertension (PH) or ventricular dysfunction are at risk to experience an extubation failure (EF) after liberation from mechanical ventilation (MV). Due to insufficient data from neonatal cohorts, it remains unclear whether NT-proBNP is an appropriate biomarker to predict EF in this cohort. The Zlog-transformation of NT-proBNP (further named NT-proBNP ) is an additional tool to optimize the interpretation of NT-proBNP since absolute NT-proBNP values are varying with the age of these infants.

PATIENTS AND METHODS

This was a retrospective single-center analysis at the University Children's Hospital, Bonn, Germany, during the study period from January 2020 until December 2021. Forty-three neonates met the inclusion criteria and were screened for study participation.

INCLUSION CRITERIA

prolonged (>24 h) MV with at least one extubation attempt, with a history of PH and/or ventricular dysfunction in the echocardiographic assessment at admission to the neonatal intensive care unit or during the period of MV, NT-proBNP measurements before (max. 24 h, baseline) and after (max. 24 h, follow-up) the first extubation attempt. The primary clinical endpoint was defined as EF with need for reintubation (0-72 h). Neonates with an EF were allocated to group A and neonates with successful liberation from MV to group B.

MAIN RESULTS

The primary clinical endpoint (EF) was reached in 21% (nine infants). Absolute mean NT-proBNP values (NT-proBNP ) at baseline did not differ significantly in infants of group A and B (6931 vs. 7136 pg/ml, p = 0.227). NT-proBNP values at baseline (2.35 vs. 1.57, p = 0.073) tended to higher values in group A. NT-proBNP values measured at follow-up were significantly higher in infants allocated to group A (11120 vs. 7570 pg/ml, p = 0.027). Likewise, NT-proBNP values at follow-up were significantly higher in infants allocated to group A (3.05 vs. 1.93, p = 0.009). NT-proBNP values at follow-up and NT-proBNP values at baseline correlated significantly with the severity of PH. Regarding the receiver operating characteristic-analysis, a NT-proBNP value at follow-up of ≥4622 pg/ml was calculated as optimal cut-off value for the prediction of EF (area under the curve [AUC] 0.742, p = 0.001). A NT-proBNP value at baseline of ≥1.63 and at follow-up of ≥2.14 was calculated as optimal cut-off for the prediction of EF (AUC: 0.690/p = 0.027, and 0.781/p = 0.000, respectively).

CONCLUSION

NT-proBNP and NT-proBNP might be valuable biomarkers for the prediction of EF in critically ill neonates. The Zlog-transformation of NT-proBNP allows an age-independent interpretation of NT-proBNP and should be considered for clinical routine.

摘要

目的

患有肺动脉高压 (PH) 或心室功能障碍病史的危重新生儿在从机械通气 (MV) 中解放出来后,有发生拔管失败 (EF) 的风险。由于新生儿队列的数据不足,NT-proBNP 是否是预测该队列 EF 的合适生物标志物仍不清楚。NT-proBNP 的 Z 对数转换(进一步命名为 NT-proBNP)是优化 NT-proBNP 解释的另一种工具,因为 NT-proBNP 的绝对值随着这些婴儿的年龄而变化。

患者和方法

这是德国波恩大学儿童医院的一项回顾性单中心分析,研究期间为 2020 年 1 月至 2021 年 12 月。43 名新生儿符合纳入标准,并接受了研究参与筛选。

纳入标准

MV 时间延长(>24 小时),至少有一次拔管尝试,在新生儿重症监护病房入院时或 MV 期间的超声心动图评估中存在 PH 和/或心室功能障碍史,在第一次拔管尝试前(最大 24 小时,基线)和后(最大 24 小时,随访)测量 NT-proBNP。主要临床终点定义为需要重新插管的 EF(0-72 小时)。EF 的新生儿被分配到组 A,MV 成功解放的新生儿被分配到组 B。

主要结果

主要临床终点(EF)在 21%(9 名婴儿)中达到。组 A 和 B 婴儿的基线绝对平均 NT-proBNP 值(NT-proBNP)无显著差异(6931 与 7136 pg/ml,p=0.227)。组 A 婴儿的基线 NT-proBNP 值(2.35 与 1.57,p=0.073)趋于更高。在组 A 中,分配到组 A 的婴儿的随访 NT-proBNP 值明显更高(11120 与 7570 pg/ml,p=0.027)。同样,分配到组 A 的婴儿的随访 NT-proBNP 值明显高于组 B(3.05 与 1.93,p=0.009)。随访时的 NT-proBNP 值和基线时的 NT-proBNP 值与 PH 的严重程度显著相关。关于受试者工作特征分析,随访时的 NT-proBNP 值≥4622 pg/ml 被计算为 EF 预测的最佳截断值(曲线下面积 [AUC] 0.742,p=0.001)。基线时的 NT-proBNP 值≥1.63 和随访时的 NT-proBNP 值≥2.14 被计算为 EF 预测的最佳截断值(AUC:0.690/p=0.027 和 0.781/p=0.000)。

结论

NT-proBNP 和 NT-proBNP 可能是预测危重新生儿 EF 的有价值的生物标志物。NT-proBNP 的 Z 对数转换允许对 NT-proBNP 进行独立于年龄的解释,应考虑用于临床常规。

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