文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

基于衰弱综合征开发并验证急性护理风险预测模型。

Developing and validating a risk prediction model for acute care based on frailty syndromes.

作者信息

Soong J, Poots A J, Scott S, Donald K, Bell D

机构信息

NIHR CLAHRC Northwest London, Imperial College London, Chelsea and Westminster Campus, London, UK Royal College of Physicians, London, UK.

NIHR CLAHRC Northwest London, Imperial College London, Chelsea and Westminster Campus, London, UK.

出版信息

BMJ Open. 2015 Oct 21;5(10):e008457. doi: 10.1136/bmjopen-2015-008457.


DOI:10.1136/bmjopen-2015-008457
PMID:26490098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4621379/
Abstract

OBJECTIVES: Population ageing may result in increased comorbidity, functional dependence and poor quality of life. Mechanisms and pathophysiology underlying frailty have not been fully elucidated, thus absolute consensus on an operational definition for frailty is lacking. Frailty scores in the acute medical care setting have poor predictive power for clinically relevant outcomes. We explore the utility of frailty syndromes (as recommended by national guidelines) as a risk prediction model for the elderly in the acute care setting. SETTING: English Secondary Care emergency admissions to National Health Service (NHS) acute providers. PARTICIPANTS: There were N=2,099,252 patients over 65 years with emergency admission to NHS acute providers from 01/01/2012 to 31/12/2012 included in the analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: Outcomes investigated include inpatient mortality, 30-day emergency readmission and institutionalisation. We used pseudorandom numbers to split patients into train (60%) and test (40%). Receiver operator characteristic (ROC) curves and ordering the patients by deciles of predicted risk was used to assess model performance. Using English Hospital Episode Statistics (HES) data, we built multivariable logistic regression models with independent variables based on frailty syndromes (10th revision International Statistical Classification of Diseases, Injuries and Causes of Death (ICD-10) coding), demographics and previous hospital utilisation. Patients included were those>65 years with emergency admission to acute provider in England (2012). RESULTS: Frailty syndrome models exhibited ROC scores of 0.624-0.659 for inpatient mortality, 0.63-0.654 for institutionalisation and 0.57-0.63 for 30-day emergency readmission. CONCLUSIONS: Frailty syndromes are a valid predictor of outcomes relevant to acute care. The models predictive power is in keeping with other scores in the literature, but is a simple, clinically relevant and potentially more acceptable measurement for use in the acute care setting. Predictive powers of the score are not sufficient for clinical use.

摘要

目的:人口老龄化可能导致合并症增加、功能依赖和生活质量下降。虚弱的机制和病理生理学尚未完全阐明,因此对于虚弱的操作定义缺乏绝对共识。急性医疗环境中的虚弱评分对临床相关结局的预测能力较差。我们探讨虚弱综合征(如国家指南所推荐)作为急性护理环境中老年人风险预测模型的效用。 设置:英国国家医疗服务体系(NHS)急性医疗机构的二级护理紧急入院情况。 参与者:分析纳入了2012年1月1日至2012年12月31日期间因紧急情况入院至NHS急性医疗机构的2,099,252名65岁以上患者。 主要和次要结局指标:调查的结局包括住院死亡率、30天紧急再入院率和机构化。我们使用伪随机数将患者分为训练组(60%)和测试组(40%)。使用受试者工作特征(ROC)曲线并按预测风险十分位数对患者进行排序来评估模型性能。利用英国医院事件统计(HES)数据,我们构建了基于虚弱综合征(国际疾病、损伤和死因分类第十版(ICD - 10)编码)、人口统计学和既往医院利用情况的独立变量多变量逻辑回归模型。纳入的患者为2012年在英格兰因紧急情况入院至急性医疗机构的65岁以上患者。 结果:虚弱综合征模型对住院死亡率的ROC评分为0.624 - 0.659,对机构化的评分为0.63 - 0.654,对30天紧急再入院率的评分为0.57 - 0.63。 结论:虚弱综合征是与急性护理相关结局的有效预测指标。该模型的预测能力与文献中的其他评分一致,但在急性护理环境中是一种简单、临床相关且可能更易接受的测量方法。该评分的预测能力不足以用于临床。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/2d127b9f96fb/bmjopen2015008457f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/a5b63fba449a/bmjopen2015008457f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/ba7cbb9f8aa4/bmjopen2015008457f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/2d127b9f96fb/bmjopen2015008457f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/a5b63fba449a/bmjopen2015008457f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/ba7cbb9f8aa4/bmjopen2015008457f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b991/4621379/2d127b9f96fb/bmjopen2015008457f03.jpg

相似文献

[1]
Developing and validating a risk prediction model for acute care based on frailty syndromes.

BMJ Open. 2015-10-21

[2]
Quantifying the prevalence of frailty in English hospitals.

BMJ Open. 2015-10-21

[3]
Associations and predictions of readmission or death in acutely admitted older medical patients using self-reported frailty and functional measures. A Danish cohort study.

Arch Gerontol Geriatr. 2018-2-13

[4]
Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly.

J Trauma Acute Care Surg. 2012-6

[5]
Frailty and Geriatric Syndromes in Vascular Surgical Ward Patients.

Ann Vasc Surg. 2016-8

[6]
Dr Foster global frailty score: an international retrospective observational study developing and validating a risk prediction model for hospitalised older persons from administrative data sets.

BMJ Open. 2019-6-22

[7]
Frailty and other geriatric conditions for risk stratification of older patients with acute coronary syndrome.

Am Heart J. 2014-7-30

[8]
The Clinical Frailty Scale predicts inpatient mortality in older hospitalised patients with idiopathic Parkinson's disease.

J R Coll Physicians Edinb. 2018-6

[9]
Functional Status Outperforms Comorbidities as a Predictor of 30-Day Acute Care Readmissions in the Inpatient Rehabilitation Population.

J Am Med Dir Assoc. 2016-10-1

[10]
Incidence and main factors associated with early unplanned hospital readmission among French medical inpatients aged 75 and over admitted through emergency units.

Age Ageing. 2008-7

引用本文的文献

[1]
The clinical frailty scale improves risk prediction in older emergency department patients: a comparison with qSOFA, NEWS2, and REMS.

Sci Rep. 2025-4-12

[2]
Piloting a minimum data set for older people living in care homes in England: a developmental study.

Age Ageing. 2025-1-6

[3]
Modified Hospital Frailty Risk Score (mHFRS) as a Tool to Identify and Predict Outcomes for Hospitalised Older Adults at Risk of Frailty.

J Frailty Sarcopenia Falls. 2024-12-1

[4]
A comparison of frailty measures in population-based data for patients with colorectal cancer.

Age Ageing. 2024-5-1

[5]
Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study.

BMC Geriatr. 2024-2-20

[6]
Validation of the Hospital Frailty Risk Score in older adults hospitalized with community-acquired pneumonia.

Geriatr Gerontol Int. 2024-3

[7]
Development and Validation of a Nomogram for Predicting Risk of Emergency Department Revisits in Chinese Older Patients.

Risk Manag Healthc Policy. 2022-12-6

[8]
Indirect effect of the COVID-19 pandemic on hospital mortality in patients with hip fracture: a competing risk survival analysis using linked administrative data.

BMJ Qual Saf. 2023-5

[9]
Association between household context and emergency hospital use in older people: a retrospective cohort study on indicators for people living alone or living with somebody with frailty, developed from routine healthcare data in England.

BMJ Open. 2022-5-2

[10]
Variation in coded frailty syndromes in secondary care administrative data: an international retrospective exploratory study.

BMJ Open. 2022-1-31

本文引用的文献

[1]
Frailty in NHANES: Comparing the frailty index and phenotype.

Arch Gerontol Geriatr. 2015

[2]
A Risk Index for Geriatric Acute Medical Admissions (RIGAMA).

Acute Med. 2014

[3]
Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study.

CMAJ. 2013-11-25

[4]
The risk of adverse outcomes in hospitalized older patients in relation to a frailty index based on a comprehensive geriatric assessment.

Age Ageing. 2013-10-30

[5]
The frailty phenotype and the frailty index: different instruments for different purposes.

Age Ageing. 2013-10-16

[6]
Specialist geriatric medical assessment for patients discharged from hospital acute assessment units: randomised controlled trial.

BMJ. 2013-10-8

[7]
Predicting outcome after hip fracture: using a frailty index to integrate comprehensive geriatric assessment results.

Age Ageing. 2013-7-5

[8]
Frailty consensus: a call to action.

J Am Med Dir Assoc. 2013-6

[9]
The ability of frailty to predict outcomes in older people attending an acute medical unit.

Acute Med. 2013

[10]
The predictive properties of frailty-rating scales in the acute medical unit.

Age Ageing. 2013-11

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索