Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model

Objectives: Significant resources are devoted to neonatal prolonged mechanical ventilation (NPMV), but little is known about the outcomes in those children. Our primary objective was to describe the NPMV respiratory, digestive, and neurological outcomes at 18 months corrected age. Our second objecti...

Full description

Bibliographic Details
Main Authors: Michaël Sauthier, Nicolas Sauthier, Krystale Bergeron Gallant, Gregory A. Lodygensky, Atsushi Kawaguchi, Guillaume Emeriaud, Philippe Jouvet
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Pediatrics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2021.689190/full
id doaj-2d8aaf8676184788b2659a98958791a9
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Michaël Sauthier
Michaël Sauthier
Nicolas Sauthier
Krystale Bergeron Gallant
Gregory A. Lodygensky
Gregory A. Lodygensky
Atsushi Kawaguchi
Atsushi Kawaguchi
Guillaume Emeriaud
Guillaume Emeriaud
Philippe Jouvet
Philippe Jouvet
spellingShingle Michaël Sauthier
Michaël Sauthier
Nicolas Sauthier
Krystale Bergeron Gallant
Gregory A. Lodygensky
Gregory A. Lodygensky
Atsushi Kawaguchi
Atsushi Kawaguchi
Guillaume Emeriaud
Guillaume Emeriaud
Philippe Jouvet
Philippe Jouvet
Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
Frontiers in Pediatrics
children
machine learning
prolonged mechanical ventilation
clinical decision support
hospital mortality
critical care
author_facet Michaël Sauthier
Michaël Sauthier
Nicolas Sauthier
Krystale Bergeron Gallant
Gregory A. Lodygensky
Gregory A. Lodygensky
Atsushi Kawaguchi
Atsushi Kawaguchi
Guillaume Emeriaud
Guillaume Emeriaud
Philippe Jouvet
Philippe Jouvet
author_sort Michaël Sauthier
title Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
title_short Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
title_full Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
title_fullStr Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
title_full_unstemmed Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model
title_sort long-term mechanical ventilation in neonates: a 10-year overview and predictive model
publisher Frontiers Media S.A.
series Frontiers in Pediatrics
issn 2296-2360
publishDate 2021-07-01
description Objectives: Significant resources are devoted to neonatal prolonged mechanical ventilation (NPMV), but little is known about the outcomes in those children. Our primary objective was to describe the NPMV respiratory, digestive, and neurological outcomes at 18 months corrected age. Our second objective was on the early identification of which patients, among the NPMV cohort, will need to be ventilated for ≥125 days, which corresponded to the 75th percentile in the preliminary data, and to describe that subgroup.Methods: In this retrospective cohort study, we included all children born between 2004 and 2013 who had a NPMV (≥21 days of invasive or noninvasive respiratory support reached between 40 and 44 weeks of postconceptional age). We used random forests, logistic regression with penalization, naive Bayes, and XGBoost to predict which patients will need ≥125 days of ventilation. We used a Monte Carlo cross validation.Results: We included 164 patients. Of which, 40% (n = 66) were female, and the median gestational age was 29 weeks [interquartile range (IQR): 26–36 weeks] with a bimodal distribution. Median ventilation days were 104 (IQR: 66–139 days). The most frequently associated diagnoses were pulmonary hypertension (43%), early pulmonary dysplasia (41%), and lobar emphysema (37%). At 18 months corrected age, 29% (n = 47) had died, 59% (n = 97) were free of any respiratory support, and 45% (n = 74) were exclusively orally fed. A moderate area under the ROC curve of 0.65 (95% CI: 0.54–0.72) for identifying patients in need of ≥125 days of ventilation at inclusion was achieved by random forests classifiers. Among the 26 measured at inclusion, the most contributive ones were PCO2, inspired O2 concentration, and gestational age. At 18 months corrected age, patients ventilated for ≥125 days had a lower respiratory weaning success (76 vs. 87%, P = 0.05), lower exclusive oral feeding proportion (51 vs. 84%, P < 0.001), and a higher neurological impairment (median Pediatric Cerebral Performance Category score 3 vs. 2, P = 0.008) than patients ventilated for < 125 days.Conclusion: NPMV is a severe condition with a high risk of mortality, neurological impairment, and oral feed delay at 18 months. Most survivors are weaned of any respiratory support. We identified the risk factors that allow for the early identification of the most at-risk children of long-term ventilation with a moderate discrimination.
topic children
machine learning
prolonged mechanical ventilation
clinical decision support
hospital mortality
critical care
url https://www.frontiersin.org/articles/10.3389/fped.2021.689190/full
work_keys_str_mv AT michaelsauthier longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT michaelsauthier longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT nicolassauthier longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT krystalebergerongallant longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT gregoryalodygensky longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT gregoryalodygensky longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT atsushikawaguchi longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT atsushikawaguchi longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT guillaumeemeriaud longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT guillaumeemeriaud longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT philippejouvet longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
AT philippejouvet longtermmechanicalventilationinneonatesa10yearoverviewandpredictivemodel
_version_ 1721306216989196288
spelling doaj-2d8aaf8676184788b2659a98958791a92021-07-13T05:03:48ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602021-07-01910.3389/fped.2021.689190689190Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive ModelMichaël Sauthier0Michaël Sauthier1Nicolas Sauthier2Krystale Bergeron Gallant3Gregory A. Lodygensky4Gregory A. Lodygensky5Atsushi Kawaguchi6Atsushi Kawaguchi7Guillaume Emeriaud8Guillaume Emeriaud9Philippe Jouvet10Philippe Jouvet11Research Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Anesthesia, Centre Hospitalier de l'Université de Montréal, Université de Montréal, Montréal, QC, CanadaResearch Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaResearch Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaResearch Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Intensive Care Medicine, Pediatric Critical Care Medicine, Tokyo Women's Medical University, Tokyo, JapanResearch Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaResearch Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaDepartment of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, CanadaObjectives: Significant resources are devoted to neonatal prolonged mechanical ventilation (NPMV), but little is known about the outcomes in those children. Our primary objective was to describe the NPMV respiratory, digestive, and neurological outcomes at 18 months corrected age. Our second objective was on the early identification of which patients, among the NPMV cohort, will need to be ventilated for ≥125 days, which corresponded to the 75th percentile in the preliminary data, and to describe that subgroup.Methods: In this retrospective cohort study, we included all children born between 2004 and 2013 who had a NPMV (≥21 days of invasive or noninvasive respiratory support reached between 40 and 44 weeks of postconceptional age). We used random forests, logistic regression with penalization, naive Bayes, and XGBoost to predict which patients will need ≥125 days of ventilation. We used a Monte Carlo cross validation.Results: We included 164 patients. Of which, 40% (n = 66) were female, and the median gestational age was 29 weeks [interquartile range (IQR): 26–36 weeks] with a bimodal distribution. Median ventilation days were 104 (IQR: 66–139 days). The most frequently associated diagnoses were pulmonary hypertension (43%), early pulmonary dysplasia (41%), and lobar emphysema (37%). At 18 months corrected age, 29% (n = 47) had died, 59% (n = 97) were free of any respiratory support, and 45% (n = 74) were exclusively orally fed. A moderate area under the ROC curve of 0.65 (95% CI: 0.54–0.72) for identifying patients in need of ≥125 days of ventilation at inclusion was achieved by random forests classifiers. Among the 26 measured at inclusion, the most contributive ones were PCO2, inspired O2 concentration, and gestational age. At 18 months corrected age, patients ventilated for ≥125 days had a lower respiratory weaning success (76 vs. 87%, P = 0.05), lower exclusive oral feeding proportion (51 vs. 84%, P < 0.001), and a higher neurological impairment (median Pediatric Cerebral Performance Category score 3 vs. 2, P = 0.008) than patients ventilated for < 125 days.Conclusion: NPMV is a severe condition with a high risk of mortality, neurological impairment, and oral feed delay at 18 months. Most survivors are weaned of any respiratory support. We identified the risk factors that allow for the early identification of the most at-risk children of long-term ventilation with a moderate discrimination.https://www.frontiersin.org/articles/10.3389/fped.2021.689190/fullchildrenmachine learningprolonged mechanical ventilationclinical decision supporthospital mortalitycritical care