Underestimation of the peak flow variability in asthmatic children: evaluation of a new formula

Mario H Vargas1, Héctor Hernán Ruiz-Gutiérrez, Concepción Espinosa-Serafin

  • 1Unidad de Investigación Médica en Epidemiología Clínica, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, IMSS, México. mhvargasb@yahoo.com.mx

Pediatric Pulmonology
|February 11, 2005
PubMed

Insights

Asthma guidelines recommend peak expiratory flow (PEF) variability assessment, but current measurement methods lack accuracy. This study suggests reevaluating PEF variability usefulness or improving its assessment techniques for better asthma management.

Area of Science:

  • Pulmonology
  • Pediatrics
  • Medical Diagnostics

Background:

  • Asthma management guidelines recommend assessing peak expiratory flow (PEF) variability.
  • However, specific timing for PEF measurements is not defined, potentially impacting accuracy.
  • Circadian rhythms influence PEF, suggesting specific measurement times may be crucial.

Purpose of the Study:

  • To evaluate the accuracy of different methods for calculating PEF variability in children with asthma.
  • To propose and test a novel formula for PEF variability using specific time points.
  • To determine if current methods accurately reflect actual PEF variability.

Main Methods:

  • Recruited 35 children with stable, mild intermittent asthma.
  • Collected PEF measurements at even hours over a week (12 measurements/24h period).
  • Calculated PEF variability using standard and proposed formulas, assessing accuracy via concordance correlation coefficient (r(c)).

Main Results:

  • Actual PEF variability (highest vs. lowest 24h) had a median of 37.3%.
  • Methods using specific time points (e.g., 4 pm and 10 pm) showed lower median variability (15.9%) with moderate concordance (r(c)=0.68).
  • Methods using morning and night measurements yielded low variability (4.0-8.7%) with poor concordance (r(c)=0.18-0.38).

Conclusions:

  • Current methods for calculating PEF variability in asthma may not be sufficiently accurate.
  • There is a need to re-evaluate the clinical utility of PEF variability or refine measurement methodologies.
  • Optimized PEF measurement timing could improve diagnostic and monitoring capabilities in pediatric asthma.

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