The simplified algorithm of the video biomicroscopy of a bulbar conjunctiva in the young quitted smoking subjects by means of the logistic regression method

Abstract

Introduction and the aim of the research. The staff of the faculty therapy department of FESMU for a long time has been studying the microvasculature (MV) by the method of bulbar conjunctiva video biomicroscopy (CAVBM) in smoking young people and the patients with ischemic heart disease. In this research we tried to find the simplified algorithm of the CAVMB and the analysis of the obtained data in current and former young smokers. We used mathematical model of logistic regression for the search of the most informative MV parameters which recovered after smoking cessation. The aim of this study was to find more significant (sensitive) parameters for analysis of the results and assessment of dynamics in the positive microcirculatory changes after smoking cessation. Material and the methods. Using a computer-assisted video biomicroscopy (CAVBM) of the bulbar conjunctiva, microcirculatory parameters were studied in generally healthy young adults who were current or former smokers (n=51). Qualitative and quantitative parameters of MV were processed by a logistic regression method. Results and their discussion. The two most significant MV parameters were identified. These parameters were found to be increased after smoking cessation and therefore can be used to determine, with a probability of 97.7%, whether an individual is a current or former smoker. These two parameters are the arteriole-to-venule ratio (AVR) and the number of capillaries in the left eye. Conclusions. We suggest a new simplified algorithm of the CAVMB with registration and analysis of only two MV quantitative parameters. We appreciate these parameters as the most objectively demonstrating the recovery of microcirculation in young subjects who quitted smoking.