Intensive Care, Liverpool Hospital, Sydney, NSW, Australia.
Crit Care Resusc. 2010 Jun;12(2):83-9.
Readmission to intensive care during the same hospital stay has been associated with a greater risk of in-hospital mortality and has been suggested as a marker of quality of care. There is lack of published research attempting to develop clinical prediction tools that individualise the risk of readmission to the intensive care unit during the same hospital stay.
To develop a prediction model using an inception cohort of patients surviving an initial ICU stay.
DESIGN, SETTING AND PARTICIPANTS: The study was conducted at Liverpool Hospital, Sydney. An inception cohort of 14 952 patients aged 15 years or more surviving an initial ICU stay and transferred to general wards in the study hospital between 1 January 1997 and 31 December 2007 was used to develop the model. Binary logistic regression was used to develop the prediction model and a nomogram was derived to individualise the risk of readmission to the ICU during the same hospital stay.
Readmission to the ICU during the same hospital stay.
Among members of the study cohort there were 987 readmissions to ICU during the study period. Compared with patients not readmitted to the ICU, patients who were readmitted were more likely to have had ICU stays of at least 7 days (odds ratio [OR], 2.2 [95% CI, 1.85- 2.56]); non-elective initial admission to the ICU (OR, 1.7 [95% CI, 1.44-2.08]); and acute renal failure (OR, 1.6 [95% CI, 0.97-2.47]). Patients admitted to the ICU from the operating theatre or recovery ward had a lower risk of readmission to ICU than those admitted from general wards, the emergency department or other hospitals. The maximum error between observed frequencies and predicted probabilities of readmission to ICU was estimated to be 3%. The area under the receiver operating characteristic curve of the final model was 0.66.
We have developed a practical clinical tool to individualise the risk of readmission to the ICU during the same hospital stay in patients who survive an initial episode of intensive care.
同一住院期间再次入住重症监护病房与更高的院内死亡率相关,并被认为是护理质量的标志。目前缺乏旨在开发临床预测工具的已发表研究,这些工具可针对同一住院期间再次入住重症监护病房的风险进行个体化评估。
使用初始入住 ICU 的患者队列开发预测模型。
设计、地点和参与者:该研究在悉尼利物浦医院进行。使用 1997 年 1 月 1 日至 2007 年 12 月 31 日期间在研究医院的普通病房中存活下来并转入普通病房的 14952 名 15 岁及以上初始 ICU 入住患者的队列进行模型开发。使用二元逻辑回归来开发预测模型,并得出一个列线图来个体化评估同一住院期间再次入住 ICU 的风险。
同一住院期间再次入住 ICU。
在研究队列的成员中,研究期间有 987 例患者再次入住 ICU。与未再次入住 ICU 的患者相比,再次入住 ICU 的患者更有可能 ICU 入住时间至少为 7 天(优势比 [OR],2.2 [95%CI,1.85-2.56]);非择期初始 ICU 入院(OR,1.7 [95%CI,1.44-2.08]);和急性肾衰竭(OR,1.6 [95%CI,0.97-2.47])。与从普通病房、急诊科或其他医院转入 ICU 的患者相比,从手术室或恢复病房转入 ICU 的患者再次入住 ICU 的风险较低。观察到的再入院 ICU 频率与预测概率之间的最大误差估计为 3%。最终模型的受试者工作特征曲线下面积为 0.66。
我们开发了一种实用的临床工具,可针对存活下来的初始重症监护患者个体化评估同一住院期间再次入住 ICU 的风险。