Heart rate variability as a marker of multiple organ dysfunction syndrome in deeply sedated, prepubescent patients: a secondary analysis

Multiple organ dysfunction syndrome (MODS) is a frequent complication in critically ill patients. The objective of the present study in a pediatric intensive care unit was to determine the feasibility of using HRV to differentiate between deeply sedated patients with medium/high MODS and those with no/low MODS. This was a secondary analysis of data from the ANI EP clinical study (NCT04913038). Various HRV indices were computed in a 10-minute time window. A patient with a pediatric Sequential Organ Failure Assessment (pSOFA) score higher than 5 was classified into the medium/high MODS group. Forty-seven patients were selected for analysis. The Energy variable (equivalent to the standard deviation of normal-to-normal intervals) was significantly correlated with the pSOFA score (r²=-0.31, p = 0.03). HFnu values were higher in the medium/high MODS group than in the no/low MODS group (0.35 vs. 0.28, respectively; p = 0.019), and HFnu discriminated between the two groups of patients with an area under the receiver operating characteristic curve of 0.75 (sensitivity = 0.78, specificity = 0.74). Energy was slightly but not significantly lower in the medium/high MODS group (0.17, vs. 0.35 in the no/mild MODS group; p = 0.086). The results of our study in a PICU showed that HRV indices can differentiate between deeply sedated patients with MODS and those without. Further investigations are needed to confirm this finding and extend it to other populations.

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Publication Details

Journal
Journal of Clinical Monitoring and Computing
Published
2026-02-05
DOI
https://doi.org/10.1007/s10877-026-01417-z
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
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article

Heart rate variability as a marker of multiple organ dysfunction syndrome in deeply sedated, prepubescent patients: a secondary analysis

Julien De Jonckheere, Morgan Recher, Anne Wojtanowski, Mathieu Jeanne et al.
Journal of Clinical Monitoring and Computing
Sepsis Diagnosis and Treatment
article

Heart rate variability as a marker of multiple organ dysfunction syndrome in deeply sedated, prepubescent patients: a secondary analysis

Julien De Jonckheere, Morgan Recher, Anne Wojtanowski, Mathieu Jeanne, Côme BUREAU
article en

Abstract

Multiple organ dysfunction syndrome (MODS) is a frequent complication in critically ill patients. The objective of the present study in a pediatric intensive care unit was to determine the feasibility of using HRV to differentiate between deeply sedated patients with medium/high MODS and those with no/low MODS. This was a secondary analysis of data from the ANI EP clinical study (NCT04913038). Various HRV indices were computed in a 10-minute time window. A patient with a pediatric Sequential Organ Failure Assessment (pSOFA) score higher than 5 was classified into the medium/high MODS group. Forty-seven patients were selected for analysis. The Energy variable (equivalent to the standard deviation of normal-to-normal intervals) was significantly correlated with the pSOFA score (r²=-0.31, p = 0.03). HFnu values were higher in the medium/high MODS group than in the no/low MODS group (0.35 vs. 0.28, respectively; p = 0.019), and HFnu discriminated between the two groups of patients with an area under the receiver operating characteristic curve of 0.75 (sensitivity = 0.78, specificity = 0.74). Energy was slightly but not significantly lower in the medium/high MODS group (0.17, vs. 0.35 in the no/mild MODS group; p = 0.086). The results of our study in a PICU showed that HRV indices can differentiate between deeply sedated patients with MODS and those without. Further investigations are needed to confirm this finding and extend it to other populations.

Journal of Clinical Monitoring and Computing
Université de Lille (FR), Centre Hospitalier Universitaire de Lille (FR), Lille’s Cardiology Hospital (FR), Center for Infection and Immunity of Lille (FR), Imation (United States) (US)
Reduced inequalities
Openalex Percentile: Top 64%
Sepsis Diagnosis and Treatment
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