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Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study

INTRODUCTION: Follow-up of children on long-term non-invasive ventilation (NIV) could be improved by telemonitoring, using the ventilator's built-in software (BIS) parameters as alternative for in-hospital sleep studies to reduce costs, enhance patient independence and contribute to early detec...

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Autores principales: Mentens, Xante, Vanhees, Janne, Paulussen, Jolien, Installé, Sophie, Van Ostaeyen, Anse, Ides, Kris, Jouret, Nathalie, Van Hoorenbeeck, Kim, Verhulst, Stijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166201/
https://www.ncbi.nlm.nih.gov/pubmed/37168806
http://dx.doi.org/10.3389/fped.2023.1158396
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author Mentens, Xante
Vanhees, Janne
Paulussen, Jolien
Installé, Sophie
Van Ostaeyen, Anse
Ides, Kris
Jouret, Nathalie
Van Hoorenbeeck, Kim
Verhulst, Stijn
author_facet Mentens, Xante
Vanhees, Janne
Paulussen, Jolien
Installé, Sophie
Van Ostaeyen, Anse
Ides, Kris
Jouret, Nathalie
Van Hoorenbeeck, Kim
Verhulst, Stijn
author_sort Mentens, Xante
collection PubMed
description INTRODUCTION: Follow-up of children on long-term non-invasive ventilation (NIV) could be improved by telemonitoring, using the ventilator's built-in software (BIS) parameters as alternative for in-hospital sleep studies to reduce costs, enhance patient independence and contribute to early detection of infections. This pilot study investigated whether analysis of BIS parameters can predict abnormal nocturnal transcutaneous CO2 (TcCO2) and saturation (SpO2) measurements in children on long-term NIV. METHODS: Children on long-term NIV in follow-up at the Antwerp University Hospital were retrospectively included. Nocturnal TcCO2 and SpO2 measurements were collected together with BIS parameters at three different time points: the night of the sleep study (BIS(1)), mean values from 48 h (BIS(2)) and 72 h (BIS(3)) before the sleep study. Predictions were calculated for following outcome measures: % recording time TcCO2 > 46.9 mmHg (%RT TcCO2; abnormal if ≥2%), recording time SpO2 < 93% (RT SpO2; abnormal if >1 h), abnormal TcCO2 or SpO2, mean TcCO2, mean SpO2. RESULTS: 69 patients were included. %RT TcCO2 was separately predicted by reached tidal volume(2) [OR 0.97 (0.93; 1.00); p = 0.051; AUC = 30%] and reached IPAP(1) [OR 1.05 (1.00; 1.10); p = 0.050; AUC = 66%]. Leak(1) predicted RT SpO2 [OR 1.21 (1.02; 1.43); p = 0.025; AUC = 84%]. Mean TcCO2 correlated with reached tidal volume(2) (R(2) 0.10, p = 0.033). DISCUSSION: Certain BIS parameters can predict nocturnal hypercapnia and desaturation in children on long-term NIV. Future studies with larger sample sizes are warranted to further investigate the predictive value of the identified BIS parameters.
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spelling pubmed-101662012023-05-09 Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study Mentens, Xante Vanhees, Janne Paulussen, Jolien Installé, Sophie Van Ostaeyen, Anse Ides, Kris Jouret, Nathalie Van Hoorenbeeck, Kim Verhulst, Stijn Front Pediatr Pediatrics INTRODUCTION: Follow-up of children on long-term non-invasive ventilation (NIV) could be improved by telemonitoring, using the ventilator's built-in software (BIS) parameters as alternative for in-hospital sleep studies to reduce costs, enhance patient independence and contribute to early detection of infections. This pilot study investigated whether analysis of BIS parameters can predict abnormal nocturnal transcutaneous CO2 (TcCO2) and saturation (SpO2) measurements in children on long-term NIV. METHODS: Children on long-term NIV in follow-up at the Antwerp University Hospital were retrospectively included. Nocturnal TcCO2 and SpO2 measurements were collected together with BIS parameters at three different time points: the night of the sleep study (BIS(1)), mean values from 48 h (BIS(2)) and 72 h (BIS(3)) before the sleep study. Predictions were calculated for following outcome measures: % recording time TcCO2 > 46.9 mmHg (%RT TcCO2; abnormal if ≥2%), recording time SpO2 < 93% (RT SpO2; abnormal if >1 h), abnormal TcCO2 or SpO2, mean TcCO2, mean SpO2. RESULTS: 69 patients were included. %RT TcCO2 was separately predicted by reached tidal volume(2) [OR 0.97 (0.93; 1.00); p = 0.051; AUC = 30%] and reached IPAP(1) [OR 1.05 (1.00; 1.10); p = 0.050; AUC = 66%]. Leak(1) predicted RT SpO2 [OR 1.21 (1.02; 1.43); p = 0.025; AUC = 84%]. Mean TcCO2 correlated with reached tidal volume(2) (R(2) 0.10, p = 0.033). DISCUSSION: Certain BIS parameters can predict nocturnal hypercapnia and desaturation in children on long-term NIV. Future studies with larger sample sizes are warranted to further investigate the predictive value of the identified BIS parameters. Frontiers Media S.A. 2023-04-24 /pmc/articles/PMC10166201/ /pubmed/37168806 http://dx.doi.org/10.3389/fped.2023.1158396 Text en © 2023 Mentens, Vanhees, Paulussen, Installé, Van Ostaeyen, Ides, Jouret, Van Hoorenbeeck and Verhulst. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Mentens, Xante
Vanhees, Janne
Paulussen, Jolien
Installé, Sophie
Van Ostaeyen, Anse
Ides, Kris
Jouret, Nathalie
Van Hoorenbeeck, Kim
Verhulst, Stijn
Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title_full Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title_fullStr Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title_full_unstemmed Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title_short Predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: A pilot study
title_sort predicting hypercapnia and hypoxia by the ventilator's built-in software in children on long-term non-invasive ventilation: a pilot study
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166201/
https://www.ncbi.nlm.nih.gov/pubmed/37168806
http://dx.doi.org/10.3389/fped.2023.1158396
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