Multiple Regression Analysis of Airway Responsiveness in Adult Asthmatic Patients

Katsuyuki Tomita Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Akihiko Suyama Department of Hygiene Faculty of Medicine, Tottori University, Tottori, Japan

Katsutosi Igawa Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Kazuhiro Katou Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Akira Yamasaki Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Yasusi Kometani Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Hiroyuki Sano Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Keiko Nagata Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

Takao Sasaki Third Department of Internal Medicine Faculty of Medicine, Tottori University, Tottori, Japan

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Abstract

The aim of this study was to determine which background variables exert the most influence on airway responsiveness in adult asthmatic patients. The relationships between airway response and background variables were investigated by multiple linear and logistic regression analysis in 97 asthmatic patients. Airway responsiveness was measured by the oscillation technique during metha-choline inhalation challenge. The regression analyses revealed that modified Aas score “one of asthma severity score,” was the major factor contributing to airway hyperreactivity. We conclude that the number of attacks during a previous year is the most important background factor related to airway hyperre-sponsiveness on a clinical basis.

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Multiple Regression Analysis of Airway Responsiveness in Adult Asthmatic Patients

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Multiple Regression Analysis of Airway Responsiveness in Adult Asthmatic Patients

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