Mathematical model to predict the risk of future exacerbations in non-smoking patients with COPD
Images : https://www.irishtimes.com/polopoly_fs/1.3193401.1503396227!/image/image.jpg_gen/derivatives/box_620_330/image.jpg
Aliaksei Kadushkin1 and Anatoli Tahanovich1
Background: The majority of developed prediction models for future exacerbations included smoking patients with COPD, but they may be not representative for non-smoking COPD patients.
Aim: To develop criteria for assessing risk of frequent exacerbations in non-smoking patients with COPD.
Methods: Twenty eight inflammatory biomarkers in peripheral blood, including lymphocytes subpopulations, cytokines, chemokines, immunoglobulins, acute-phase proteins, and eight clinical parameters were quantified in 42 non-smokers with COPD. The validation cohort consisted of 20 non-smoking patients with COPD. We defined non-smokers as subjects who smoked less than 100 cigarettes in their lifetime. Frequent exacerbations were determined as two or more exacerbations. Patients with infrequent exacerbations were defined as those who had no or one exacerbation in a year. Logistic regression analysis was used to develop the prediction model.