Prediction equations for spirometry in four- to six-year-old children

França, Danielle C.; Camargos, Paulo Augusto Moreira; Jones, Marcus Herbert; Martins, Jocimar Avelar; Vieira, Bruna da Silva Pinto Pinheiro; Colosimo, Enrico A.; Mendonça, Karla Morganna Pereira Pinto de; Borja, Raíssa de Oliveira; Britto, Raquel Rodrigues; Parreira, Verônica Franco

doi:10.1016/j.jped.2015.10.005

Cited by 10 publications

(12 citation statements)

References 21 publications

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“…Ninety‐eight percent of the patients were able to perform a baseline acceptable spirometry, which is a relatively high percentage in comparison with previous studies …”

Section: Discussionmentioning

confidence: 61%

“…Ninety-eight percent of the patients were able to perform a baseline acceptable spirometry, which is a relatively high percentage in comparison with previous studies. [11][12][13][14] We did not encounter any patient who suffered from coulrophobia (fear of clowns), This could be, at least partly, due to the fact that the MCs who participated do not wear face makeup except for a red nose.…”

Section: Discussionmentioning

confidence: 99%

“…Whereas 95% of children aged 8‐9 years were able to yield adequate spirometry results, success rates among preschoolers ranged from 50% to 85% …”

Section: Introductionmentioning

confidence: 99%

“…Whereas 95% of children aged 8-9 years were able to yield adequate spirometry results, 10 success rates among preschoolers ranged from 50% to 85%. [11][12][13][14] The technique of spirometry is usually taught by verbal coaching.…”

mentioning

confidence: 99%

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The effect of medical clowns on performance of spirometry among preschool aged children

Nir

Schichter-Konfino

Kassem

et al. 2018

Pediatric Pulmonology

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“…Ninety‐eight percent of the patients were able to perform a baseline acceptable spirometry, which is a relatively high percentage in comparison with previous studies …”

Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

“…Whereas 95% of children aged 8‐9 years were able to yield adequate spirometry results, success rates among preschoolers ranged from 50% to 85% …”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

The effect of medical clowns on performance of spirometry among preschool aged children

Nir

Schichter-Konfino

Kassem

et al. 2018

Pediatric Pulmonology

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show abstract

“…Spirometry is frequently used in the pediatric population, especially in children with muscle dystrophies, asthma, and pulmonary fibrosis (Crenesse, Berlioz, Bourrier, & Albertini, 2001;França et al, 2016;Kanengiser & Dozor, 1994;M.R. Miller, 2005;Vilozni, Barker, Jellouschek, Heimann, & Blau, 2001).…”

Section: Respiratory Motor Control Assessmentmentioning

confidence: 99%

Trunk and respiratory motor control in typically developing children and its implications in children with chronic spinal cord injury.

Singh¹

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Singh, Goutam, "Trunk and respiratory motor control in typically developing children and its implications in children with chronic spinal cord injury." (2017 Independent sitting is a major milestone and is also a prerequisite for optimal performance of activities of daily living (ADLs). Development of sitting posture control is a dynamic process involving control of degrees of freedom of head and trunk. Traditionally, trunk has been modeled as a single unit (segment).However, recent studies have suggested that it is made up multiple spinal units, controlled by a combination of trunk muscles. During typical development, posture control of trunk is different for different trunk segments. This motor development of trunk control is a complex process due to constant interaction between the nervous system and environment. Any interruption in the normal processes would further complicate it, affecting the typical development of the child.Poor trunk control and respiratory complications are characteristic features among children, adolescents, and adults with neuromuscular disorders.vi Pediatric spinal cord injuries (SCIs) also pose a unique challenge compared to SCI in adults because of the continuous physical and cognitive development.Children with SCI exhibit deficits in trunk motor control, which impair their ability to sit or ambulate. These motor deficits can lead to compensatory changes in other segments of the body, which cause further deviations from typical postures.Trunk muscles have the dual function of supporting both, breathing and trunk posture. Therefore, in children with SCI, impairment of posture control will also affect respiratory functions. Depending on level and severity of injury, can potentially lead to severe respiratory insufficiency. Symptoms of respiratory insufficiency are highly correlated with the level and severity of spinal lesions.Injury at higher cervical and thoracic cord levels causes paresis and paralysis of most of the respiratory muscles, which increase the workload of breathing. As a result, respiratory complications are the leading cause of death among children with SCI. Therefore, impairment of posture control following SCI also affects respiratory functions.Lack of appropriate tools to evaluate trunk motor control following SCI restricts the ability to understand its development and therefore it is a challenge to design treatments and strategies to slow down or prevent the progress of longterm effects of SCI in children. In this dissertation, we studied the postural control using a Segmental Assessment Trunk Control (SATCo) test and respiratory motor control using Respiratory Motor Control Assessment (RMCA) protocol in typically developing (TD) children and compared their results to age-matched children with SCI.vii Chapter I describes the background information about the trunk and respiratory motor control and how the injury to spinal cord impacts these motor functions. Chapter II illustrates the specific aims and hypothesis of this dissertation. Methods and protocols used to ...

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Do the Global Lung Function Initiative 2012 equations fit my population?

Quanjer

Stanojevic

2016

Eur Respir J

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Knowing whether a patient's lung function result is similar to what can be expected of a healthy individual is critical for the correct interpretation of pulmonary function test results. Since lung function changes with growth and ageing and differs according to sex and ethnicity, there are now >300 published reference equations available for spirometry alone. Consequently, individual pulmonary function laboratories are left with a challenging decision: which reference equation do I choose? While it is recommended that reference equations are population specific, there are obvious logistical challenges to collect normative data from a large and representative population such that the resulting range of normal values are not biased. Alternatively, laboratories can choose to use a published reference equation derived from a population similar to the one being tested. Several studies have shown that not all lung function reference equations produce the same results [1-3]. For instance, some equations are based on smaller samples of the population, while others are based on larger and representative population surveys. In some studies, spirometry curves are reviewed rigorously for quality control, while in others they are not. Some data are collected on antiquated equipment no longer available today, while others contain novel outcome measures. Furthermore, within each commercial spirometer, users have an overwhelming number of options: to use a single reference equation, or multiple reference equations combined into a single prediction set. The "stitching" of different equations results in artificial jumps in predicted values that could lead to erroneous interpretation of results and unnecessary intervention [2, 4, 5]. Most importantly, often the physicians interpreting results are unaware of which equations were used, and how the choice of equation might affect their interpretation [6-8]. Another common practice is to extrapolate reference equations beyond the age range of the intended age range, which has also been shown to bias interpretation of results [9].

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Prediction equations for spirometry in four- to six-year-old children

Abstract: The predicted values obtained in the present study are comparable to those reported for preschoolers from both Brazil and other countries.

Cited by 10 publications

References 21 publications

The effect of medical clowns on performance of spirometry among preschool aged children

The effect of medical clowns on performance of spirometry among preschool aged children

Trunk and respiratory motor control in typically developing children and its implications in children with chronic spinal cord injury.

Do the Global Lung Function Initiative 2012 equations fit my population?

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