Department of Medicine, Translational Public Health Unit, Stroke and Ageing Research, Southern Clinical School, Monash University, Clayton, Victoria, Australia.
Stroke. 2013 Aug;44(8):2260-8. doi: 10.1161/STROKEAHA.111.000531. Epub 2013 Jun 25.
Understanding the factors that contribute to early readmission after discharge following stroke is limited. We aimed to describe the factors associated with 28-day readmission after hospitalization for stroke.
Factors associated with readmission were classified from the medical record standardized audits of 50 to 100 consecutively admitted patients with stroke from 35 Australian hospitals during multiple time periods (2000-2010). Factors were compared between patients readmitted and not readmitted after stroke hospitalization (n=43) grouped using 5 categories: patient characteristics (n=16; eg, age), clinical processes of care (n=13; eg, admitted into a stroke unit), social circumstances (n=3; eg, living home alone prior), health system (n=6; eg, location of hospital), and health outcome (n=5; eg, length of stay). Multilevel logistic regression modeling was used to examine the association with these independent factors selected if statistical significance P<0.15 or if considered clinically important and readmission status.
Among 3328 patients, 6.5% were readmitted within 28 days (mean age, 75; 48% female; 92% ischemic). After bivariate analyses 14/43 factors from 4/5 categories were associated with readmission after hospitalization for stroke. Two factors from patient and health outcome categories remained independently associated with readmission after multivariable analyses. These were dependent premorbid functional status (adjusted odds ratio, 1.87; 95% confidence interval, 1.25-2.81) and having a severe adverse event during the initial hospitalization for stroke (adjusted odds ratio, 2.81; 95% confidence interval, 1.55-5.12).
This is the first study to comprehensively evaluate factors associated with 28-day readmission after stroke. The factors associated with 28-day readmission are diverse and include potentially modifiable and nonmodifiable factors.
对于导致中风出院后早期再入院的因素了解有限。我们旨在描述与中风住院后 28 天内再入院相关的因素。
从澳大利亚 35 家医院多个时期(2000-2010 年)连续收治的 50-100 例中风患者的病历标准化审核中,对与再入院相关的因素进行分类。将中风住院后再入院和未再入院的患者(n=43)分为 5 类:患者特征(n=16;如年龄)、临床护理流程(n=13;如收入中风病房)、社会环境(n=3;如独居前)、卫生系统(n=6;如医院位置)和健康结果(n=5;如住院时间)。采用多水平逻辑回归模型,对如果统计学意义 P<0.15 或如果被认为具有临床重要性和再入院状态的这些独立因素进行检验。
在 3328 例患者中,6.5%(n=218)在 28 天内再入院(平均年龄 75 岁;48%女性;92%为缺血性中风)。在单变量分析后,4 个类别中的 14/43 个因素与中风住院后的再入院相关。多变量分析后,患者和健康结果两个类别的两个因素与再入院独立相关。这两个因素分别为依赖于病前功能状态(调整优势比,1.87;95%置信区间,1.25-2.81)和中风初始住院期间发生严重不良事件(调整优势比,2.81;95%置信区间,1.55-5.12)。
这是第一项全面评估中风后 28 天内再入院相关因素的研究。与 28 天内再入院相关的因素多种多样,包括潜在可改变和不可改变的因素。