Kassa Yoseph, Godana Anteneh Asmare, Geremew Habtamu, Gashu Chalachew
Department of Statistics, College of Natural and Computational Science Oda Bultum University Chiro Ethiopia.
Department of Statistics, College of Natural and Computational Science University of Gondar Gondar Ethiopia.
Health Sci Rep. 2025 Jul 27;8(8):e70896. doi: 10.1002/hsr2.70896. eCollection 2025 Aug.
Globally, chronic obstructive pulmonary disease (COPD) is one of the main causes of illness and death. Understanding the problem with respect to these factors is essential to finding a solution. Therefore, this study aimed to determine time to death and its predictors among outpatients with chronic obstructive pulmonary disease followed up in northwestern Ethiopia.
A retrospective cohort study design was applied to collect relevant information on time to death from the medical patient's charts of 248 outpatients with COPD under follow-up at the UGRH. The information was explored using log-rank tests and Kaplan‒Meier plots. We used the Cox PH model for the time to death of outpatients with COPD.
Out of 248 COPD patients treated at UoG from January 1, 2020 to December 30, 2022, 82 (33.1%) patients died. The study population consisted of 248 patients who received COPD drug treatment during follow-up, of whom 148 (59.7%) were male, and 145 (58.5%) resided in urban areas.
The Cox proportional hazards (PH) model identified sex, occupation, comorbidities, age, HIV status, weight, marital status, and smoking as risk factors for time to death.
在全球范围内,慢性阻塞性肺疾病(COPD)是主要的致病和致死原因之一。了解这些因素相关的问题对于找到解决方案至关重要。因此,本研究旨在确定埃塞俄比亚西北部接受随访的慢性阻塞性肺疾病门诊患者的死亡时间及其预测因素。
采用回顾性队列研究设计,从UGRH接受随访的248例慢性阻塞性肺疾病门诊患者的病历中收集有关死亡时间的相关信息。使用对数秩检验和Kaplan-Meier图对信息进行分析。我们使用Cox PH模型分析慢性阻塞性肺疾病门诊患者的死亡时间。
在2020年1月1日至2022年12月30日期间在UG接受治疗的248例慢性阻塞性肺疾病患者中,82例(33.1%)患者死亡。研究人群包括248例在随访期间接受慢性阻塞性肺疾病药物治疗的患者,其中148例(59.7%)为男性,145例(58.5%)居住在城市地区。
Cox比例风险(PH)模型确定性别、职业、合并症、年龄、HIV状态、体重、婚姻状况和吸烟是死亡时间的风险因素。