Journal article
Retrospective Analyses of Methacholine Inhalation Challenges
Chest, v 105(4), pp 1082-1088
Apr 1994
PMID: 8162729
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We retrospectively analyzed 198 methacholine inhalation challenges (MICs) of symptomatic patients with normal results of lung examinations, spirometry, and chest radiographs. During MIC, five parameters (FEV1, FEF25-75%, FVC, sCaw, TGV) were measured. Using established changes in these parameters at ≤8 mg/ml methacholine, there were 175 positive tests (no false positives) and 23 negative tests (15 true negatives, 5 false negatives, and 3 unavailable for follow-up). The MIC sensitivity determined by FEV1 responses was significantly lower than the sensitivity using responses in either three (FEV1, FEF25-75%, and FVC; p<0.001) or five (FEV1, FEF25-75%, FVC, sGaw, and TGV; p<0.001) parameter sets. Sensitivities were 60.6 percent, 91.1 percent, and 97.2 percent, respectively. All positive MICs (100 percent) were identified by examining changes in the five-parameter set vs 97.3 percent in the three-parameter set; it was a significant difference at p<0.01. We conclude that the measurement and analysis of non-FEV1 parameters in addition to FEV1 significantly increases the sensitivity of the MIC.
Metrics
Details
- Title
- Retrospective Analyses of Methacholine Inhalation Challenges
- Creators
- Marc F. Goldstein - Hahnemann University HospitalSusan M. Pacana - Hahnemann University HospitalDonald J. Dvorin - Hahnemann University HospitalEliot H. Dunsky - Hahnemann University Hospital
- Publication Details
- Chest, v 105(4), pp 1082-1088
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Medicine (Graduate); General Internal Medicine
- Web of Science ID
- WOS:A1994NE95400024
- Scopus ID
- 2-s2.0-0028218467
- Other Identifier
- 991019183931104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Critical Care Medicine
- Respiratory System