Literature DB >> 30799137

Age-related ranges of respiratory inductance plethysmography (RIP) reference values for infants and children.

Sona Lakshme Balasubramaniam1, Yanping Wang1, Lauren Ryan1, Jobayer Hossain1, Tariq Rahman1, Thomas H Shaffer2.   

Abstract

The current noninvasive method for respiratory monitoring is respiratory inductance plethysmography (RIP); two bands are connected, one each to the chest and the abdomen, to measure the breathing pattern. RIP requires post hoc analysis to calculate indices such as respiratory rate, phase angle, labored breathing index, and percent of rib cage contribution to breathing. Clinical studies have provided patient RIP values and age-matched normal values, but they lack global evaluation of normative data for a wide age range of pediatric subjects. Herein, we compiled normative RIP indices from numerous studies for a large range of pediatric ages. From these data, we derived regression equations useful for computing normal RIP parameters as a function of age. The presented review will provide caregivers the ability to compare RIP data of pediatric patients against the regression analysis. This comparison will help identify patients with pulmonary complications and aid in guiding respiratory therapy.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Labored breathing index; Normal respiratory inductance; Percent of rib cage contribution to breathing; Phase angle; Plethysmography values; Respiratory rate

Mesh:

Year:  2018        PMID: 30799137     DOI: 10.1016/j.prrv.2018.03.010

Source DB:  PubMed          Journal:  Paediatr Respir Rev        ISSN: 1526-0542            Impact factor:   2.726


  5 in total

1.  Adjustment of high flow nasal cannula rates using real-time work of breathing indices in premature infants with respiratory insufficiency.

Authors:  Kelley Z Kovatis; Robert G Locke; Amy B Mackley; Keshab Subedi; Thomas H Shaffer
Journal:  J Perinatol       Date:  2021-03-04       Impact factor: 3.225

2.  Diagnostic differences in respiratory breathing patterns and work of breathing indices in children with Duchenne muscular dystrophy.

Authors:  Lauren Ryan; Tariq Rahman; Abigail Strang; Robert Heinle; Thomas H Shaffer
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

3.  Machine learning for automatic identification of thoracoabdominal asynchrony in children.

Authors:  Madhavi V Ratnagiri; Lauren Ryan; Abigail Strang; Robert Heinle; Tariq Rahman; Thomas H Shaffer
Journal:  Pediatr Res       Date:  2020-07-03       Impact factor: 3.756

4.  A novel noninvasive approach for evaluating work of breathing indices in a developmental rat model using respiratory inductance plethysmography.

Authors:  Yan Zhu; Zubair H Aghai; Suhita Gayen Nee Betal; Michael Favara; Gina Fong; Tariq Rahman; Thomas H Shaffer
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

5.  Automated Assessment of Thoracic-Abdominal Asynchrony in Patients with Morquio Syndrome.

Authors:  Madhavi V Ratnagiri; Yan Zhu; Tariq Rahman; Mary Theroux; Shunji Tomatsu; Thomas H Shaffer
Journal:  Diagnostics (Basel)       Date:  2021-05-15
  5 in total

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