Department of Statistics, Assossa University, Assosa, Ethiopia.
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa.
BMJ Open. 2024 May 2;14(5):e073384. doi: 10.1136/bmjopen-2023-073384.
This study aimed to evaluate competing risks and functional ability measures among patients who had a stroke.
A joint model comprising two related submodels was applied: a cause-specific hazard submodel for competing drop-out and stroke-related death risks, and a partial proportional odd submodel for longitudinal functional ability.
Felege Hiwot Referral Hospital, Ethiopia.
The study included 400 patients who had a stroke from the medical ward outpatient stroke unit at Felege Hiwot Referral Hospital, who were treated from September 2018 to August 2021.
Among the 400 patients who had a stroke, 146 (36.5%) died and 88 (22%) dropped out. At baseline, 14% of patients had no symptoms and/or disability while 24% had slight disability, and 25% had severe disability. Most patients (37.04%) exhibited moderate functional ability. The presence of diabetes increased the cause-specific hazard of death by 3.95 times (95% CI 2.16 to 7.24) but decreased the cause-specific hazard of drop-out by 95% (aHR 0.05; 95% CI 0.01 to 0.46) compared with non-diabetic patients who had a stroke.
A substantial proportion of patients who had a stroke experienced mortality and drop-out during the study period, highlighting the importance of considering competing risks in stroke research. Age, diabetes, white cell count and stroke complications were significant covariates affecting both longitudinal and survival submodels. Compared with stand-alone models, the joint competing risk modelling technique offers comprehensive insights into the disease's transition pattern.
本研究旨在评估中风患者的竞争风险和功能能力测量。
应用了一个包含两个相关子模型的联合模型:一个用于竞争退出和中风相关死亡风险的特定原因风险子模型,以及一个用于纵向功能能力的部分比例奇数子模型。
埃塞俄比亚 Felege Hiwot 转诊医院。
该研究纳入了 2018 年 9 月至 2021 年 8 月期间在 Felege Hiwot 转诊医院内科病房门诊中风单元接受治疗的 400 名中风患者。
在 400 名中风患者中,146 人(36.5%)死亡,88 人(22%)退出。基线时,14%的患者无症状和/或无残疾,24%有轻微残疾,25%有严重残疾。大多数患者(37.04%)表现出中度功能能力。患有糖尿病会使死亡的特定原因风险增加 3.95 倍(95%CI 2.16 至 7.24),但与非糖尿病中风患者相比,退出的特定原因风险降低 95%(aHR 0.05;95%CI 0.01 至 0.46)。
在研究期间,相当一部分中风患者经历了死亡和退出,这突出了在中风研究中考虑竞争风险的重要性。年龄、糖尿病、白细胞计数和中风并发症是影响纵向和生存子模型的重要协变量。与独立模型相比,联合竞争风险建模技术提供了对疾病转归模式的全面了解。