Alem Kidanemariam, Gebeyehu Sefinew, Arega Yibeltal
Department of Biostatistics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Department of Statistics, College of Natural and Computational Sciences, Adigrat University, Adigrat, Ethiopia.
J Asthma Allergy. 2020 May 7;13:167-177. doi: 10.2147/JAA.S246464. eCollection 2020.
The aim of this study was to identify the risk factors and treatment types for asthma severity among adult patients by applying a retrospective study design.
The symptoms of asthma and corresponding medication prescription were addressed by descriptive statistics, and an ordinal logistic regression model was applied to identify the risk factors of asthma severity based on the data obtained from chronic follow-up of 422 adult asthma patients from September 11, 2012, to July 8, 2016, at the University of Gondar Teaching Hospital (UOGTH).
From 422 study units, the more commonly presenting asthma symptoms were coughing and wheezing expressed by 52.13% and 50.9%, respectively. For the treatment type given to the patients, oxygen and prednisolone were highly distributed drugs to the patients in chronic illness, medication and follow-up clinic of the University of Gondar Teaching Hospital (UOGTH) which were expressed by 73.5% and 35.5%, respectively. The proportional odd logit model was used to analyse asthma severity in patients; patients who were female (OR=1.68), a rural resident (OR=1.56), regular physical exercise (OR=2.39), allergen to pet (OR=3.17), had asthma in childhood (OR=2.27), had a family history (OR=1.89), and had depression (OR=2.31) were more likely to increase asthma severity than others, and patients who were in case with regular cooker, dry season was less likely to increase asthma severity.
Generally, the study presented the most common asthma symptoms and treatment types correspondingly. The study also showed that demographic, environmental, genetic, and health-related factors have a significant effect on asthma severity.
本研究旨在通过回顾性研究设计确定成年哮喘患者哮喘严重程度的危险因素及治疗类型。
采用描述性统计分析哮喘症状及相应药物处方情况,并应用有序逻辑回归模型,基于2012年9月11日至2016年7月8日在贡德尔大学教学医院(UOGTH)对422例成年哮喘患者进行慢性随访所获得的数据,确定哮喘严重程度的危险因素。
在422个研究对象中,最常见的哮喘症状是咳嗽和喘息,分别有52.13%和50.9%的患者出现。对于给予患者的治疗类型,氧气和泼尼松龙是贡德尔大学教学医院慢性病、药物治疗及随访门诊中给予患者的使用频率较高的药物,分别占73.5%和35.5%。采用比例对数模型分析患者的哮喘严重程度;女性患者(OR = 1.68)、农村居民(OR = 1.56)、经常进行体育锻炼(OR = 2.39)、对宠物过敏(OR = 3.17)、儿童期患哮喘(OR = 2.27)、有家族病史(OR = 1.89)以及患有抑郁症(OR = 2.31)的患者比其他患者更易加重哮喘严重程度,而使用常规炊具、处于旱季的患者哮喘严重程度增加的可能性较小。
总体而言,本研究相应地呈现了最常见的哮喘症状及治疗类型。研究还表明,人口统计学、环境、遗传及健康相关因素对哮喘严重程度有显著影响。