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Maximal Static Respiratory and Sniff Pressures in Healthy Children. A Systematic Review and Meta-Analysis
Rahul Verma1, Jackie Chiang2,3,4, Hong Qian5
11 Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Insights
This systematic review and meta-analysis developed prediction equations for respiratory muscle strength in children. New equations for maximal inspiratory pressures (MIP) and maximal expiratory pressures (MEP) in healthy children aid clinical assessment.
Area of Science:
- Pediatric Pulmonology
- Respiratory Physiology
- Clinical Assessment
Background:
- Respiratory muscle strength is crucial for pediatric respiratory health.
- Maximal inspiratory pressures (MIP), maximal expiratory pressures (MEP), and sniff nasal inspiratory pressures (SNIP) are key assessment metrics.
- Existing reference ranges for these measures in children are limited and show wide variability.
Purpose of the Study:
- To systematically review and summarize current reference ranges for MIP, MEP, and SNIP in healthy children.
- To conduct a meta-analysis to develop comprehensive, sex-specific prediction equations for MIP and MEP.
- To provide updated tools for accurate clinical assessment of pediatric respiratory muscle strength.
Main Methods:
- Systematic review of five databases (inception to May 2017) for studies on MIP, MEP, and SNIP in children ≤18 years.
- Inclusion criteria focused on healthy children and adherence to ATS 2002 guidelines; meta-analysis used individual participant data from five studies (1,709 children).
- QUADAS-2 tool assessed study bias; multivariable random effects models generated prediction equations.
Main Results:
- Eighteen studies involving 3,509 children were reviewed; high risk of bias was noted in some studies.
- Meta-analysis of 1,709 children revealed significant differences: MIP and MEP were higher in boys than girls (P<0.0001), and MEP > MIP in both sexes (P<0.05).
- Sex-specific prediction equations identified age, height, and weight as significant predictors; limited data for SNIP.
Conclusions:
- Summarized reference ranges and developed novel prediction equations for MIP and MEP in healthy children.
- These equations, incorporating age, height, and weight, can assist clinicians in pulmonary function laboratories.
- Further research is needed to expand the limited existing literature on SNIP in pediatric populations.
Rationale:
Respiratory muscle strength in children can be assessed by maximal inspiratory pressures (MIP), maximal expiratory pressures (MEP), and sniff nasal inspiratory pressures (SNIP). However, previous studies involved small cohorts of healthy children and reported wide reference ranges.
Objectives:
To perform a systematic review to summarize existing reference ranges for MIP, MEP, and SNIP tests in healthy children and to conduct a meta-analysis to develop comprehensive prediction equations.
Data Sources:
Five databases were searched for relevant studies from database inception to May 29, 2017.
Data Extraction:
Study inclusion was limited to publications that evaluated MIP, MEP, and SNIP values in healthy children aged 18 years or younger. Studies were also excluded if testing methodology differed greatly from the 2002 American Thoracic Society Statement on Respiratory Muscle Testing. Requests for raw data were made to authors via e-mail.
Synthesis:
A total of 18 studies including 3,509 children were systematically reviewed. Diagnostic accuracy of the included studies was assessed using the QUADAS-2 tool, which revealed a high risk of bias for flow and timing and for applicability that may influence the generalizability of our findings. All 18 studies evaluated respiratory pressures in children in seated position. MIP tests were conducted from residual volume, MEP tests from total lung capacity, and SNIP tests from functional residual capacity. The MIP and MEP values in three age groups for boys and girls were summarized using meta-analysis based on individual participant data from five studies containing 1,709 healthy children. Further analyses showed that MIP and MEP were significantly greater in boys than in girls (P < 0.0001). In both sexes, MEP values were always greater than MIP values (P < 0.05). Multivariable random effects models were then performed to establish sex-specific prediction equations. These equations found age, height, and weight to be significant predictor variables. Only two studies with SNIP values from healthy children were included in the review, but they were not part of the meta-analysis.
Conclusions:
We summarized the available reference ranges for MIP, MEP, and SNIP tests based on existing literature, especially for three age groups, and developed prediction equations that can be used in pulmonary function laboratories to aid clinicians. Existing literature on SNIP tests is limited, and future studies are encouraged to explore their use in children. Systematic review registered with the International Prospective Register of Systematic Reviews (PROSPERO; CRD42017072004).
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