Comprehensive Statistical Approach to Investigate the Risk Factors Affecting the Occurrences of Cellulitis Episodes among Patients with Lymphedema.

Background: Cellulitis is an infection of the skin and the tissues just under the skin. As any disease, cellulitis has various physiological and physical effects that deteriorate a patient's quality of life. Luckily, cellulitis can be treated when dealt with in a timely fashion. Nonetheless, some patients may experience more than one episode of cellulitis or a recurrence of cellulitis that was previously cured. In fact, the occurrences of cellulitis episodes are believed to follow a statistical distribution. The frequency distribution of cellulitis episodes is scrutinized herein. We aimed to investigate the risk factors that affect the number of cellulitis episodes and the pattern of association between cancer types and cellulitis episodes by using analytical and visual approaches.Methods: A statistical approach applying a two-part count regression model was used instead of the traditional one-part count model. Moreover, multiple correspondence analysis was used to support the finding of count regression models.Results: The results of analysis of the sample from the National Cheng Kung University hospital in Taiwan revealed the mean age of patients was 58.7 ± 14.31 years old. The two-part regression model is conceptually and numerically better than the one-part regression model when examining the risks factors that affect cellulitis episodes. Particularly, we found the significant factors based on the best model are cellulitis history ([Formula: see text]; P value < 0.001), clinical stage of cancer (3) ([Formula: see text]; P value < 0.001), no cancer ([Formula: see text]; P value < 0.05), cancer of female reproductive organs ([Formula: see text]; P value < 0.05), breast cancer ([Formula: see text]; P value < 0.05), and age ≥ 60 years ([Formula: see text]; P value < 0.05). Multiple correspondence analysis approach found cancer types (breast and female reproductive organ), age ≥ 60 years, and cellulitis history were more likely to link to excess zero cellulitis or one cellulitis episode.