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Record W2068812421 · doi:10.1542/peds.106.4.852

Use of a Peak Flow Meter for Positive Feedback in Psychogenic Cough

2000· article· en· W2068812421 on OpenAlexaboutno aff
Michael R. Bye

Bibliographic record

VenuePEDIATRICS · 2000
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpirometryAsthmaPeak flow meterPsychogenic diseasePhysical examinationChronic coughAnesthesiaInternal medicine

Abstract

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Peak flow meters are recommended for the control of chronic asthma.1 They often detect airflow obstruction before it is clinically manifested, and can be a useful tool for asthma self-management. Early detection of airflow obstruction may result in earlier, more effective therapy.2 In certain select cases the peak flow meter can be used to reassure a patient that symptoms are not being caused by asthma. We report such a case.A.C. was first referred to us at age 8 1/12 years because of prolonged cough with upper respiratory tract infection (URI). By history she had cough only with URI, but the cough lasted 3 or more weeks with each URI. She had missed 15 days of school in each of the past 2 school years because of the cough. She had exercise induced cough only when otherwise ill. Nebulized albuterol provided some relief. She had occasional urticaria of unknown cause. Allergens do not provoke asthma symptoms, and there was no seasonal pattern to the asthma, other than the expected increased frequency of URI in the winter.When initially seen she had developed a URI 1 week before, and was coughing considerably. Wheezes were heard on physical examination, which was otherwise unremarkable. She was controlled on beclomethasone, albuterol and a short course of prednisolone. She was subsequently seen when clinically well, and had a normal physical examination. However, spirometry revealed airflow obstruction, with her forced expiratory flow after 25% to 75% of vital capacity had been expelled (FEF25–75) at 48% of the predicted value. Her clinical state and airway physiology were normalized with chronic beclomethasone, salmeterol and nedocromil, and prn albuterol. She did well for the next 6 months, with only minor cough with URI. She was no longer missing school.At 8 9/12 years she developed a URI with cough controlled by her chronic therapy, prn albuterol and prednisolone was added at 2 mg/kg/day. On the fourth day of prednisolone, a cough returned. She was afebrile and had no headache, nasal discharge, eye, or nose symptoms. An unusual facial twitch was noted. The cough was harsh and barking, incessant throughout the day. The cough disappeared once she went to sleep. She was otherwise well. With the new cough she missed 2 days of school. There was no relief from changing the beclomethasone to fluticasone 220 μg BID, and adding ipratropium 2 puffs TID. A physician added hydrocodone and an antihistamine, but the cough persisted. The added therapy increased her sleepiness, indirectly decreasing her cough.I saw her during Friday afternoon office hours, the seventh day of prednisolone. She had no cough in the office. Her physical examination and spirometry were normal, unchanged from her best baseline values. I stopped the hydrocodone and antihistamine, continued the other therapy. That weekend she remained cough-free, and the ipratropium was discontinued. On Monday in school she began coughing again, with the same pattern. Her mother was called to school. Mrs. C. brought the peak flow meter to school, showed A.C. that the peak flow was the same as it had been, and at the level of her personal best. The cough stopped and did not return. She was weaned off the systemic corticosteroids, and was again well-controlled on her inhaled therapy.This young girl with moderate persistent asthma well-controlled on chronic inhaled therapy developed an exacerbation of her asthma triggered by URI. She had a good initial response to increased inhaled albuterol and oral corticosteroids, but after 4 days developed an unusual cough with a facial tic. There was no clinical evidence of sinusitis or allergies, and this occurred after the ragweed season. There was no direct response to cough suppressants or antihistamines. These did make her sleepy, which secondarily decreased her cough. A number of factors led me to believe the cough was psychogenic. The cough had a barking, “Canada goose” quality.3,4 It disappeared as soon as she went to sleep. The facial tic was suggestive of anxiety, as well. The disappearance of the cough and the tic with the office visit was either attributable to reassurance,5 the sedating effect of some of her medications, or the upcoming weekend. The scenario the next Monday, after remaining cough-free over the weekend, confirmed the nature of the new cough. The inciting stress was never detected, and there has been no recurrence in the year since. She remains well-controlled with normal exercise tolerance. She does well in school, and takes part in soccer and basketball.We prefer the terms “stress-related cough” or “anxiety-related cough” to the term “psychogenic cough.” We find parents and patients more accepting of the former terms. This also emphasizes that the symptoms are a reaction to an external stress, not “in the child's head.” A number of treatments have been suggested for this entity. Cohlan and Stone6 suggested wrapping the chest in a bed sheet, and we have used his technique with some success. Other treatments include relaxation techniques, biofeedback, and speech therapy.5,7 We describe a child in whom the peak flow meter was used as positive biofeedback, with a resulting cessation of the previously troublesome cough.In summary, we recognize that a child with asthma can have abnormal airway physiology in the face of a normal peak flow rate.8Clinicians cannot assume that a normal peak flow rate signifies normal airway function. However, in select cases where the child has normal airway physiology, and the clinician has made a diagnosis of stress-related cough, the peak flow meter can be helpful in providing positive feedback to the child. We were able to use it successfully in our patient to abort the cough.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.286
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2000
Admission routes1
Has abstractyes

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