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DOI: 10.1055/a-2761-1697
Centralized Telemetry Enables Continuous Monitoring to Predict Clinical Deterioration in Infants Hospitalized with Bronchiolitis
Authors
Abstract
Objective
Bronchiolitis is the leading cause of hospitalization in infants, and early detection of clinical deterioration remains a major challenge in pediatric wards. The objective is to analyze continuous longitudinal telemetry data (heart rate [HR] and oxygen saturation [SpO2]) in infants hospitalized with bronchiolitis, and to evaluate whether this monitoring allows early prediction of the need for high-flow nasal cannula (HFNC) therapy or pediatric intensive care unit (PICU) admission.
Study Design
Retrospective, observational study in infants admitted for bronchiolitis (October 2021–January 2022). Clinical, epidemiological, and longitudinal data were collected using minute-by-minute HR and SpO2 during the first 24 hours of admission using Vital Sync (Medtronic). A mixed model (restricted maximum likelihood; REML) was constructed to model the longitudinal HR and SpO2 data.
Results
About 79 patients with 113,760 longitudinal HR and SpO2 data were included. A total of 16.5% required HFNC, and 9% were admitted to PICU. A higher HR was observed in the first hours of admission in those patients who required PICU (163 ± 5 vs. 146 ± 4 bpm; p < 0.01) and in those who required HFNC (158 ± 6 vs. 144 ± 5 bpm; p < 0.01). In the mixed model (REML), we found differences in HR (p < 0.01) between groups (PICU yes/no and HFNC yes/no) and over time (p < 0.01). The mixed model allowed prediction of the mean HR of patients admitted to PICU (162 bpm) and those requiring HFNC (159 bpm).
Conclusion
Continuous monitoring of HR in infants hospitalized for bronchiolitis in pediatric wards may be a useful tool to help anticipate clinical deterioration.
Key Points
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Longitudinal continuous telemetry in infants with bronchiolitis may be a useful tool.
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Centralized telemetry monitoring may be promising in pediatric wards outside intensive care units.
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HR monitoring may be useful for the need for admission to the PICU.
Publication History
Received: 01 August 2025
Accepted: 02 December 2025
Article published online:
18 December 2025
© 2025. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
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References
- 1 Florin TA, Plint AC, Zorc JJ. Viral bronchiolitis. Lancet 2017; 389 (10065): 211-224
- 2 Hall CB, Simőes EA, Anderson LJ. Clinical and epidemiologic features of respiratory syncytial virus. Curr Top Microbiol Immunol 2013; 372: 39-57
- 3 Bont L, Checchia PA, Fauroux B. et al. Defining the epidemiology and burden of severe respiratory syncytial virus infection among infants and children in Western countries. Infect Dis Ther 2016; 5 (03) 271-298
- 4 Schondelmeyer AC, Dewan ML, Brady PW. et al. Cardiorespiratory and pulse oximetry monitoring in hospitalized children: A Delphi process. Pediatrics 2020; 146 (02) e20193336
- 5 Prgomet M, Cardona-Morrell M, Nicholson M. et al. Vital signs monitoring on general wards: Clinical staff perceptions of current practices and the planned introduction of continuous monitoring technology. Int J Qual Health Care 2016; 28 (04) 515-521
- 6 Solís-García G, Maderuelo-Rodríguez E, Perez-Pérez T. et al. Longitudinal analysis of continuous pulse oximetry as prognostic factor in neonatal respiratory distress. Am J Perinatol 2022; 39 (06) 677-682
- 7 González de Dios J, Ochoa Sangrador C. Grupo de revisión y panel de expertos de la Conferencia de Consenso del Proyecto aBREVIADo (BRonquiolitis-Estudio de Variabilidad, Idoneidad y ADecuación). Consensus conference on acute bronchiolitis: Methodology and recommendations. An Pediatr (Barc) 2010; 72 (03) 221.e1-221.e33
- 8 Fairchild KD, Lake DE. Cross-correlation of heart rate and oxygen saturation in very low birthweight infants: Association with apnea and adverse events. Am J Perinatol 2018; 35 (05) 463-469
- 9 Sullivan BA, Wallman-Stokes A, Isler J. et al. Early pulse oximetry data improves prediction of death and adverse outcomes in a two-center cohort of very low birth weight infants. Am J Perinatol 2018; 35 (13) 1331-1338
- 10 Mithal LB, Yogev R, Palac HL, Kaminsky D, Gur I, Mestan KK. Vital signs analysis algorithm detects inflammatory response in premature infants with late onset sepsis and necrotizing enterocolitis. Early Hum Dev 2018; 117: 83-89
- 11 Sullivan BA, Nagraj VP, Berry KL. et al. Clinical and vital sign changes associated with late-onset sepsis in very low birth weight infants at 3 NICUs. J Neonatal Perinatal Med 2021; 14 (04) 553-561
- 12 Roland D, Stilwell PA, Fortune PM, Alexander J, Clark SJ, Kenny S. Case for change: A standardised inpatient paediatric early warning system in England. Arch Dis Child 2021; 106 (07) 648-651
- 13 Chen L, Ogundele O, Clermont G, Hravnak M, Pinsky MR, Dubrawski AW. Dynamic and personalized risk forecast in step-down units. Implications for monitoring paradigms. Ann Am Thorac Soc 2017; 14 (03) 384-391
- 14 de Vries EN, Ramrattan MA, Smorenburg SM, Gouma DJ, Boermeester MA. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care 2008; 17 (03) 216-223
- 15 Andersen LW, Berg KM, Chase M, Cocchi MN, Massaro J, Donnino MW. American Heart Association's Get With The Guidelines(®)-Resuscitation Investigators. Acute respiratory compromise on inpatient wards in the United States: Incidence, outcomes, and factors associated with in-hospital mortality. Resuscitation 2016; 105: 123-129
- 16 Jones D, Mitchell I, Hillman K, Story D. Defining clinical deterioration. Resuscitation 2013; 84 (08) 1029-1034
- 17 Paravidino VB, Mediano MFF, Silva ICM. et al. Effect of physical exercise on spontaneous physical activity energy expenditure and energy intake in overweight adults (the EFECT study): A study protocol for a randomized controlled trial. Trials 2018; 19 (01) 167
- 18 Rizopoulos D. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics 2011; 67 (03) 819-829
- 19 Verbeke G, Fieuws S, Molenberghs G, Davidian M. The analysis of multivariate longitudinal data: A review. Stat Methods Med Res 2014; 23 (01) 42-59
- 20 McCulloh R, Koster M, Ralston S. et al. Use of intermittent vs continuous pulse oximetry for nonhypoxemic infants and young children hospitalized for bronchiolitis: A randomized clinical trial. JAMA Pediatr 2015; 169 (10) 898-904
- 21 Mahant S, Wahi G, Bayliss A. et al; Canadian Paediatric Inpatient Research Network (PIRN). Intermittent vs continuous pulse oximetry in hospitalized infants with stabilized bronchiolitis: A randomized clinical trial. JAMA Pediatr 2021; 175 (05) 466-474
- 22 Bonafide CP, Xiao R, Brady PW. et al; Pediatric Research in Inpatient Settings (PRIS) Network. Prevalence of continuous pulse oximetry monitoring in hospitalized children with bronchiolitis not requiring supplemental oxygen. JAMA 2020; 323 (15) 1467-1477
- 23 McDaniel LM, Ralston SL. How routine are routine vital signs?. Hosp Pediatr 2022; 12 (07) e235-e238
- 24 Khanna AK, Hoppe P, Saugel B. Automated continuous noninvasive ward monitoring: Future directions and challenges. Crit Care 2019; 23 (01) 194
- 25 van Loon K, Peelen LM, van de Vlasakker EC, Kalkman CJ, van Wolfswinkel L, van Zaane B. Accuracy of remote continuous respiratory rate monitoring technologies intended for low care clinical settings: A prospective observational study. Can J Anaesth 2018; 65 (12) 1324-1332
- 26 McGillion MH, Duceppe E, Allan K. et al; PROTECT Network Investigators. Postoperative remote automated monitoring: need for and state of the science. Can J Cardiol 2018; 34 (07) 850-862
- 27 Harford M, Catherall J, Gerry S, Young JD, Watkinson P. Availability and performance of image-based, non-contact methods of monitoring heart rate, blood pressure, respiratory rate, and oxygen saturation: A systematic review. Physiol Meas 2019; 40 (06) 06TR01
- 28 Rasooly IR, Makeneni S, Khan AN, Luo B, Muthu N, Bonafide CP. The alarm burden of excess continuous pulse oximetry monitoring among patients with bronchiolitis. J Hosp Med 2021; 16 (12) 727-729
- 29 Graham KC, Cvach M. Monitor alarm fatigue: Standardizing use of physiological monitors and decreasing nuisance alarms. Am J Crit Care 2010; 19 (01) 28-34 , quiz 35
- 30 Kumar N, Akangire G, Sullivan B, Fairchild K, Sampath V. Continuous vital sign analysis for predicting and preventing neonatal diseases in the twenty-first century: Big data to the forefront. Pediatr Res 2020; 87 (02) 210-220
