Predicting future medical needs and mortality risk in geriatric long-term care patients : Development and validation of the Nascher score and revised Nascher score

预测老年长期护理患者未来医疗需求和死亡风险:Nascher评分及其修订版的开发与验证

阅读:1

Abstract

BACKGROUND: Choosing the right intensity of medical care is a huge challenge particularly in long-term geriatric care. The Nascher score was developed to assess future medical care needs. The aim of this study was to determine whether the Nascher score and a revised version can predict future medical needs. METHODS: In this retrospective cohort study, 396 residents in long-term care hospitals, who were admitted over a period of two years and followed up to two and a half yeare, were analysed. Outcome parameters were: (1) number of medication changes, (2) number of ward doctor documentations and (3) number of acute illnesses treated with antibiotics, and mortality risk. Based on the first results, an alternative scoring of the Nascher score with 12 instead of 26 items was developed, called the revised Nascher score. RESULTS: The Nascher score significantly correlated with the number of medication changes, the number of ward doctor documentations, and the number of acute ilnesses treated with antibiotics with Spearman correlation coefficients of 0.30, 0.26, and 0.15, respectively. The revised Nascher score showed a higher correlation with correlation coefficients of 0.36, 0.26, and 0.21, respectively. Residents with a Nascher score in the highest quartile had a significantly higher mortality risk than residents in the lowest quartile (hazard ratio, HR 2.97, 95% confidence interval, CI 1.80-4.34). The corresponding values for the revised Nascher score were HR 3.03, 95% CI 2.03-4.54 in the highest and HR 1.80, 95% CI 1.24-2.60 in the middle quartiles. CONCLUSION: The Nascher score and even more so the revised Nascher score are well suited to predicting the various parameters of future medical needs and mortality risk.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。