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综合统计方法研究影响淋巴水肿患者发生蜂窝织炎的风险因素。

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

机构信息

Department of Statistics, National Cheng-Kung University, Tainan, Taiwan

Statistics Study Program, Sebelas Maret University, Surakarta, Indonesia.

出版信息

Clin Med Res. 2024 Jun;22(2):84-96. doi: 10.3121/cmr.2024.1897.

Abstract

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. 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. 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]; value < 0.001), clinical stage of cancer (3) ([Formula: see text]; value < 0.001), no cancer ([Formula: see text]; value < 0.05), cancer of female reproductive organs ([Formula: see text]; value < 0.05), breast cancer ([Formula: see text]; value < 0.05), and age ≥ 60 years ([Formula: see text]; 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.

摘要

蜂窝织炎是一种皮肤和皮肤下组织的感染。和任何疾病一样,蜂窝织炎有各种生理和物理影响,会降低患者的生活质量。幸运的是,蜂窝织炎可以及时治疗。然而,一些患者可能会经历不止一次蜂窝织炎发作或以前治愈的蜂窝织炎复发。事实上,蜂窝织炎发作的发生被认为遵循一种统计分布。本文研究了影响蜂窝织炎发作次数的风险因素,以及癌症类型与蜂窝织炎发作之间的关联模式。使用分析和可视化方法,我们使用两部分计数回归模型而不是传统的一部分计数模型来研究影响因素。此外,多元对应分析用于支持计数回归模型的发现。对来自中国台湾成大医院的样本进行分析的结果表明,患者的平均年龄为 58.7 ± 14.31 岁。在检查影响蜂窝织炎发作次数的风险因素时,两部分回归模型在概念上和数值上都优于一部分回归模型。特别是,我们根据最佳模型发现了以下显著因素:蜂窝织炎病史 ([Formula: see text]; value < 0.001)、癌症临床分期 (3) ([Formula: see text]; value < 0.001)、无癌症 ([Formula: see text]; value < 0.05)、女性生殖器官癌症 ([Formula: see text]; value < 0.05)、乳腺癌 ([Formula: see text]; value < 0.05) 和年龄 ≥ 60 岁 ([Formula: see text]; value < 0.05)。多元对应分析方法发现癌症类型(乳腺癌和女性生殖器官癌)、年龄 ≥ 60 岁和蜂窝织炎病史更有可能与多余的零次或一次蜂窝织炎发作相关。

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