Using Quality-Control Analysis of Peak Expiratory Flow Recordings To Guide Therapy for Asthma

  1. Peter G. Gibson, MBBS, FRACP;
  2. John Wlodarczyk, PhD;
  3. Michael J. Hensley, MBBS, PhD, FRACP, FAFPHM;
  4. Keith Murree-Allen, MBBS, FRACP, FCCP;
  5. Leslie G. BSc(Med) Olson, MBBS, PhD, FRACP; and
  6. Nicholas Saltos, MBBS, FRACP, FCCP, FRCP
  1. From John Hunter Hospital, the University of Newcastle, and Royal Newcastle Hospital, Newcastle, New South Wales, Australia. Acknowledgments: The authors thank the educators in the Asthma Management Service: Sr. P. Talbot, Sr. R. Toneguzzi, Sr. C. Kessell, and Mrs. P. Pratt. They also thank Gaye Sheather for secretarial assistance. Grant Support: In part by the Asthma Foundation of New South Wales. Requests for Reprints: Peter G. Gibson, Respiratory Medicine Unit, John Hunter Hospital, Locked Bag 1, Hunter Mail Exchange, Newcastle 2310, New South Wales, Australia. Current Author Addresses: Drs. Gibson, Murree-Allen, Olson, and Saltos: Respiratory Medicine Unit, John Hunter Hospital, Locked Bag 1, Hunter Mail Exchange, Newcastle 2310, New South Wales, Australia.

    Abstract

    Objective: To compare the action points in published asthma management plans with those derived from quality-control analysis of peak expiratory flow recordings.

    Design: Longitudinal observational study.

    Setting: An ambulatory asthma education and management program in a tertiary care hospital.

    Patients: 35 adults with asthma and exacerbation of asthma.

    Measurements: Peak expiratory flow diaries and symptom recordings.

    Results: Asthma action points from published asthma management guidelines had poor operating characteristics. The success rate was 35% when the action point was a peak expiratory flow rate less than 60% of the patient's best peak flow. The success rate improved to 88% when the action point was a peak expiratory flow rate less than 80% of the patient's best peak flow. Published action points had a high failure rate. Peak flow decreased to below the published action points during a stable period of asthma in 7% to 51% of patients studied. Action points defined using quality-control analysis did significantly better. A peak flow value less than 3 standard deviations below the patient's mean peak flow detected 84% of exacerbations and had a low failure rate (19%). Other quality-control tests had sensitivities of 91% and 71%. Quality-control action points could detect exacerbations up to 4.5 days earlier than conventional methods.

    Conclusions: Individualized action points can be derived for patients with asthma by applying quality-control analysis to peak flow recordings. These action points are more sensitive in detecting exacerbations of asthma and have fewer false-positive results. Action plans developed in this manner should be more useful for the early detection of deteriorating asthma.

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