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Perioperative prediction of adverse events with age-adjusted NT-proBNP in children undergoing Norwood surgery

Published online by Cambridge University Press:  14 February 2025

Carolin Niedermaier*
Affiliation:
Technical University of Munich, German Heart Center, Department for Congenital and Pediatric Heart Surgery, Division for Congenital and Pediatric Heart Surgery, University Hospital Großhadern, Ludwig-Maximilians University, Munich, Germany
Masamichi Ono
Affiliation:
Technical University of Munich, German Heart Center, Department for Congenital and Pediatric Heart Surgery, Division for Congenital and Pediatric Heart Surgery, University Hospital Großhadern, Ludwig-Maximilians University, Munich, Germany
Frank Klawonn
Affiliation:
Biostatistics, Helmholtz Center for Infection Research, Braunschweig, Germany Institute for Information Engineering, Ostfalia University of Applied Sciences, Wolfenbuttel, Germany
Stefan Holdenrieder
Affiliation:
Institute of Laboratory Medicine, German Heart Center of the Technical University Munich, Munich, Germany
Julia Lemmer
Affiliation:
Technical University of Munich, German Heart Center, Department of Pediatric Cardiology and Congenital Heart Defects, Munich, Germany
Jürgen Hörer
Affiliation:
Technical University of Munich, German Heart Center, Department for Congenital and Pediatric Heart Surgery, Division for Congenital and Pediatric Heart Surgery, University Hospital Großhadern, Ludwig-Maximilians University, Munich, Germany
Peter Ewert
Affiliation:
Technical University of Munich, German Heart Center, Department of Pediatric Cardiology and Congenital Heart Defects, Munich, Germany DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
Jonas Palm
Affiliation:
Technical University of Munich, German Heart Center, Department of Pediatric Cardiology and Congenital Heart Defects, Munich, Germany
*
Corresponding author: Carolin Niedermaier; Email: carolin.niedermaier@tum.de
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Abstract

Background:

Due to the high postoperative mortality, tools for an adaequate risk stratification are important to identify high-risk patients undergoing the Norwood procedure. As a marker of ventricular wall stress, NT-proBNP might be of particular interest in these children.

Objectives:

This study evaluated whether NT-proBNP’s age-adjusted z-score (“zlog-NT-proBNP”) predicts outcomes after stage I Norwood procedure.

Methods:

Patients who underwent the Norwood procedure between 1 January 2011 and 31 December 2022, with perioperative NT-proBNP measurements available were enrolled. Since reference intervals of NT-proBNP are highly age-dependent, age-adjusted zlog-NT-proBNP was used. Serial zlog-NT-proBNP values were analysed to predict the occurrence of major adverse cardiovascular events after the Norwood procedure. Major adverse cardiovascular events was defined as death, resuscitation, or mechanical circulatory support. Secondary endpoints were re-operation and re-intervention for shunt.

Results:

A total of 139 patients underwent the Norwood procedure and had at least one NT-proBNP measurement available. Preoperative zlog-NT-proBNP measurements (median 3.7, interquartile range 3.1–4.19) showed no association with the occurrence of major adverse cardiovascular events or mortality. Zlog-NT-proBNP early after ICU admission (3.2, interquartile range 2.4–3.8) was predictive of mortality but showed no association with the occurrence of major adverse cardiovascular events. Zlog-NT-proBNP before ICU discharge (3.2, interquartile range 2.8–3.8) was significantly associated with the occurrence of both major adverse cardiovascular events (hazard ratio 1.83, 95% confidence interval 1.25–2.67, P = 0.002) and death (hazard ratio 2.1, 95% CI 1.4–3.2, P < 0.001).

Conclusions:

High zlog-NT-proBNP levels after the Norwood surgery were strongly associated with the occurrence of major adverse cardiovascular events and death. Therefore, zlog-NT-proBNP has the potential to identify high-risk patients before life-threatening complications occur.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Baseline characteristics

Figure 1

Table 2. NT-proBNP measurements

Figure 2

Table 3. Underlying diagnosis

Figure 3

Figure 1. Kaplan–Meier MACE-free survival curve according to late postoperative zlog-NT-proBNP. Patients were divided into two groups according to zlog-NT-proBNP levels before discharge from ICU (below and above 3.5). The log-rank test yielded a p value 0.003.

Figure 4

Figure 2. Kaplan–Meier survival curve according to zlog-NT-proBNP. Patients were divided into two groups according to early postoperative zlog-NT-proBNP levels (below and above 3.5). The log-rank test yielded a p value of 0.005.

Figure 5

Table 4. Hazard ratios for MACE and mortality according to indicators - univariate analysis

Figure 6

Table 5. Hazard ratios for MACE and mortality according to indicators - multivariate analysis

Figure 7

Figure 3 a. ROC curve for death according to the minimum zlog-NT-proBNP value measured in the intermediate postoperative period from day 7 to day 21. The area under the curve was 0.77 (95% CI 0.67–0.88). b. Boxplots according to the minimum zlog-NT-proBNP value measured in the intermediate postoperative period from day 7 to day 21 in patients who died and patients who survived. Patients who died had elevated levels compared to those who survived (median 3.56, IQR 3.25–3.91 vs. 3.0, IQR 2.41–3.36).