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一项关于影响老年住院患者出院去向因素的欧洲多中心研究:ACMEplus项目住院数据的分析

A multi-centre European study of factors affecting the discharge destination of older people admitted to hospital: analysis of in-hospital data from the ACMEplus project.

作者信息

Campbell Susan E, Seymour D Gwyn, Primrose William R, Lynch Joanna E, Dunstan Edmund, Espallargues Mireia, Lamura Giovanni, Lawson Peter, Philp Ian, Mestheneos Elizabeth, Politynska Barbara, Raiha Ismo

机构信息

Medicine for the Elderly, Department of Medicine and Therapeutics, University of Aberdeen, Aberdeen, UK.

出版信息

Age Ageing. 2005 Sep;34(5):467-75. doi: 10.1093/ageing/afi141. Epub 2005 Jul 25.

Abstract

OBJECTIVES

to examine the relationship between seven predictor variables (recorded on Day 3 of hospital admission) and discharge destination in non-elective medical patients aged 65+ years.

DESIGN

prospective cohort.

SETTING

eight centres in six European countries.

PREDICTOR VARIABLES

age, gender, living alone, physical function (three categories based on Barthel Index), cognition (Katzman's orientation-memory-concentration test), main body system affected (based on International Classification of Diseases), number of geriatric giants (GGs) involved in the referral (a GG being a problem with falling, mobility, continence or cognition).

MAIN OUTCOME MEASURES

discharge destination (by Day 90) in three categories: 'HOMESAME' (return to previous residence), 'INSTIN90' (discharge to alternative residence or still in hospital at 90 days), 'DEADINHO' (death in hospital),

RESULTS

in 1,626 patients, discharge destination was HOMESAME in 84.7%, DEADINHO in 8.9% and INSTIN90 in 6.4%. Mean duration of stay was 17.7 days, median 12. Univariate analyses showed a statistically significant relationship between all seven predictor variables and discharge destination. Physical function was the best single predictor with a seven-fold difference in adverse outcome rates between the best and worst categories. On multiple logistic regression, significant predictor variables were as follows. (i) For DEADINHO: physical function, cognition, gender; (ii) for INSTIN90: physical function, living alone, GGs, age, gender. Multiple linear regression identified physical function, GGs and living alone as predictors of loge length of stay.

CONCLUSION

case-mix systems to compare risk-adjusted hospital outcome in older medical patients need to incorporate information about physical function, cognition and presenting problems in addition to diagnosis.

摘要

目的

研究65岁及以上非择期内科患者入院第3天记录的7个预测变量与出院去向之间的关系。

设计

前瞻性队列研究。

地点

6个欧洲国家的8个中心。

预测变量

年龄、性别、独居、身体功能(根据巴氏指数分为三类)、认知(考茨曼定向-记忆-注意力测试)、主要受累身体系统(基于国际疾病分类)、转诊中涉及的老年巨症数量(老年巨症指跌倒、行动不便、失禁或认知方面的问题)。

主要结局指标

90天内的出院去向,分为三类:“回家原处”(回到先前住所)、“90天内入住其他住所或仍住院”、“住院死亡”。

结果

1626例患者中,84.7%出院回家原处,8.9%住院死亡,6.4% 90天内入住其他住所或仍住院。平均住院时间为17.7天,中位数为12天。单因素分析显示,所有7个预测变量与出院去向之间均存在统计学显著关系。身体功能是最佳单一预测因素,最佳和最差类别之间不良结局发生率相差7倍。多因素逻辑回归分析显示,显著的预测变量如下:(i)对于“住院死亡”:身体功能、认知、性别;(ii)对于“90天内入住其他住所或仍住院”:身体功能、独居、老年巨症数量、年龄、性别。多因素线性回归分析确定身体功能、老年巨症数量和独居是住院时间对数的预测因素。

结论

用于比较老年内科患者风险调整后医院结局的病例组合系统,除诊断信息外,还需纳入身体功能、认知和现存问题的信息。

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