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预测急性不适老年患者短期住院时间的入院变量:与急诊科和内科短期住院病房的相关性。

Admission variables predicting short lengths of stay of acutely unwell older patients: relevance to emergency and medical short-stay units.

作者信息

Basic David, Khoo Angela

机构信息

Geriatric Medicine and Rehabilitation, Liverpool Hospital, Liverpool, NSW 2170, Australia.

出版信息

Aust Health Rev. 2009 Aug;33(3):502-12. doi: 10.1071/ah090502.

Abstract

OBJECTIVE

To help develop criteria to identify older patients suitable for admission to medical short-stay units, by determining predictors of length of stay (LOS) of 3 days or less.

METHODS

The data were prospectively collected from consecutive older patients admitted from the emergency department of a university hospital to an acute geriatric medicine service. Data included active medical diagnoses, the Modified Barthel Index (MBI), the Timed Up and Go (TUG) test, and demographic information. Logistic regression was used to model the probability of LOS of 3 days or less (short LOS).

RESULTS

Among 2036 patients discharged alive from hospital (mean age, 82 years; median LOS, 7 days), 398 had a short LOS (median, 2 days), while 1638 had a long LOS (median, 9 days). In logistic regression analysis, the main independent predictors of short LOS were an MBI score > 15/20 (OR, 2.98; 95% CI, 1.97-4.49), ability to perform the TUG test (OR, 2.08; 95% CI, 1.34-3.24) and absence of delirium (OR, 2.66; 95% CI, 1.56-4.54). Patients without infection, anaemia, gastrointestinal disorder and stroke were also more likely to have a short LOS in multivariate analysis (all P < 0.05).

CONCLUSION

Preserved function, measured using the MBI and TUG, and the absence of delirium are strong predictors of short LOS. In conjunction with early, skilled clinical evaluation, these criteria could be used to select older patients presenting to the emergency departments for admission to short-stay units.

摘要

目的

通过确定住院时间(LOS)为3天或更短的预测因素,帮助制定标准以识别适合入住医疗短期住院单元的老年患者。

方法

前瞻性收集一所大学医院急诊科收治的连续老年患者的数据,这些患者被转至急性老年医学服务科室。数据包括现行医学诊断、改良巴氏指数(MBI)、定时起立行走测试(TUG)以及人口统计学信息。采用逻辑回归模型来模拟LOS为3天或更短(短住院时间)的概率。

结果

在2036名出院的存活患者中(平均年龄82岁;中位住院时间7天),398名患者住院时间短(中位时间2天),而1638名患者住院时间长(中位时间9天)。在逻辑回归分析中,短住院时间的主要独立预测因素为MBI评分>15/20(比值比[OR],2.98;95%置信区间[CI],1.97 - 4.49)、能够完成TUG测试(OR,2.08;95% CI,1.34 - 3.24)以及无谵妄(OR,2.66;95% CI,1.56 - 4.54)。在多变量分析中,无感染、贫血、胃肠道疾病和中风的患者也更有可能住院时间短(所有P<0.05)。

结论

使用MBI和TUG测量的功能保留以及无谵妄是短住院时间的有力预测因素。结合早期、专业的临床评估,这些标准可用于选择到急诊科就诊的老年患者入住短期住院单元。

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