Heart Rate Change as a Potential Digital Biomarker of Brain Death in Critically Ill Children With Acute Catastrophic Brain Injury

Author:

LaRovere Kerri L.12,Luchette Matthew32,Akhondi-Asl Alireza32,DeSouza Bradley J.4,Tasker Robert C.3,Mehta Nilesh M.32,Geva Alon325

Affiliation:

1. Department of Neurology, Boston Children’s Hospital and Harvard Medical School, Boston, MA.

2. Department of Anesthesiology, Critical Care and Pain Medicine, Perioperative and Critical Care Center for Outcomes Research and Evaluation (PC-CORE), Boston Children’s Hospital, Boston, MA.

3. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.

4. Department of Critical Care Medicine, Children’s Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, CA.

5. Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA.

Abstract

IMPORTANCE: Bedside measurement of heart rate (HR) change (HRC) may provide an objective physiologic marker for when brain death (BD) may have occurred, and BD testing is indicated in children. OBJECTIVES: To determine whether HRC, calculated using numeric HR measurements sampled every 5 seconds, can identify patients with BD among patients with catastrophic brain injury (CBI). DESIGN, SETTING, AND PARTICIPANTS: Single-center, retrospective study (2008–2020) of critically ill children with acute CBI. Patients with CBI had a neurocritical care consultation, were admitted to an ICU, had acute neurologic injury on presentation or during hospitalization based on clinical and/or imaging findings, and died or survived with Glasgow Coma Scale (GCS) less than 13 at hospital discharge. Patients meeting BD criteria (BD group) were compared with those with cardiopulmonary death (CD group) or those who survived to discharge. MAIN OUTCOMES AND MEASURES: HRC was calculated as the interquartile range of HR divided by median HR using 5-minute windows with 50% overlap for up to 5 days before death or end of recording. HRC was compared among the BD, CD, and survivor groups. RESULTS: Of 96 patients with CBI (69% male, median age 4 years), 28 died (8 BD, 20 CD) and 20 survived (median GCS 9 at discharge). Within 24 hours before death, HRC was lower in BD compared with CD patients or survivors (0.01 vs 0.03 vs 0.04, p = 0.001). In BD patients, HRC decreased at least 1 day before death. HRC discriminated BD from CD patients and survivors with 90% sensitivity, 70% specificity, 44% positive predictive value, 96% negative predictive value (area under the receiver operating characteristic curve 0.88, 95% CI, 0.80–0.93). CONCLUSIONS AND RELEVANCE: HRC is a novel digital biomarker that, with further validation, may be useful as a classifier for BD in the overall course of patients with CBI.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine

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