Jay Acharya , Radcliffe Lisk , Rashid Mahmood , Amir Manzoor , Francesca Young , Mitveer Gill , Keefai Yeong , Kevin Kelly , Jonathan Robin , David Fluck , Christopher Henry Fry , Thang Sieu Han
{"title":"虚弱和谵妄:老年人的致命组合","authors":"Jay Acharya , Radcliffe Lisk , Rashid Mahmood , Amir Manzoor , Francesca Young , Mitveer Gill , Keefai Yeong , Kevin Kelly , Jonathan Robin , David Fluck , Christopher Henry Fry , Thang Sieu Han","doi":"10.1016/j.aggp.2025.100180","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Frailty and delirium commonly coexist in acutely ill older adults, but they are variably measured. The Clinical Frailty Scale (CFS) and the 4AT scores are advocated as standardised tools to assess these conditions. We have developed risk categories based on these scales to predict mortality.</div></div><div><h3>Methods</h3><div>Two-graph ROC curve analysis derived thresholds at 5.5 for CFS and 1 for 4AT for predicting mortality, from which three composite <em>Risk-Categories</em> were created: “<em>Low-Risk</em>” represents low scores for both CFS (1–6) and 4AT (0); <em>Intermediate-Risk”</em> represents either high CFS (7–9) or high 4AT (1–12) scores; and <em>High-Risk</em>” represents both high CFS and 4AT scales. These <em>Risk-Categories</em> were used to predict in-hospital or 30-day mortality using logistic regression, and up to 27 months since admission using Cox regression; adjusted for age, sex, Charlson comorbidity index, anticholinergic burden and polypharmacy.</div></div><div><h3>Results</h3><div>There were 1192 patients (57.1 % women) of mean age 86.1 yr (SD=7.1) consecutively admitted to a hospital. Compared to those in the “<em>Low-Risk</em>” category (reference), in-hospital mortality odds-ratios (ORs; 95 %CI) were greater for those in the “<em>Intermediate-Risk”</em> category: OR=1.74 (1.11–2.72), and “<em>High-Risk</em>” category: OR=2.72 (1.47–5.02). Corresponding values for within 30-day mortality were: OR=1.75 (1.18–2.60) and OR=3.03 (1.76–5.21). Risk of death within 27 months of admission was increased in the “<em>High-Risk</em>” category: hazard ratio=1.46 (1.14–1.87). The association of CFS and mortality was partially mediated by 4AT.</div></div><div><h3>Conclusion</h3><div>Mortality in hospital was approximately doubled in “<em>Intermediate-Risk</em>” and tripled in “<em>High-Risk</em>” patients, which persisted after discharge. These risk categories are a useful tool for identifying high-risk patients.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 3","pages":"Article 100180"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Frailty and delirium: A fatal combination in older adults\",\"authors\":\"Jay Acharya , Radcliffe Lisk , Rashid Mahmood , Amir Manzoor , Francesca Young , Mitveer Gill , Keefai Yeong , Kevin Kelly , Jonathan Robin , David Fluck , Christopher Henry Fry , Thang Sieu Han\",\"doi\":\"10.1016/j.aggp.2025.100180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Frailty and delirium commonly coexist in acutely ill older adults, but they are variably measured. The Clinical Frailty Scale (CFS) and the 4AT scores are advocated as standardised tools to assess these conditions. We have developed risk categories based on these scales to predict mortality.</div></div><div><h3>Methods</h3><div>Two-graph ROC curve analysis derived thresholds at 5.5 for CFS and 1 for 4AT for predicting mortality, from which three composite <em>Risk-Categories</em> were created: “<em>Low-Risk</em>” represents low scores for both CFS (1–6) and 4AT (0); <em>Intermediate-Risk”</em> represents either high CFS (7–9) or high 4AT (1–12) scores; and <em>High-Risk</em>” represents both high CFS and 4AT scales. These <em>Risk-Categories</em> were used to predict in-hospital or 30-day mortality using logistic regression, and up to 27 months since admission using Cox regression; adjusted for age, sex, Charlson comorbidity index, anticholinergic burden and polypharmacy.</div></div><div><h3>Results</h3><div>There were 1192 patients (57.1 % women) of mean age 86.1 yr (SD=7.1) consecutively admitted to a hospital. Compared to those in the “<em>Low-Risk</em>” category (reference), in-hospital mortality odds-ratios (ORs; 95 %CI) were greater for those in the “<em>Intermediate-Risk”</em> category: OR=1.74 (1.11–2.72), and “<em>High-Risk</em>” category: OR=2.72 (1.47–5.02). Corresponding values for within 30-day mortality were: OR=1.75 (1.18–2.60) and OR=3.03 (1.76–5.21). Risk of death within 27 months of admission was increased in the “<em>High-Risk</em>” category: hazard ratio=1.46 (1.14–1.87). The association of CFS and mortality was partially mediated by 4AT.</div></div><div><h3>Conclusion</h3><div>Mortality in hospital was approximately doubled in “<em>Intermediate-Risk</em>” and tripled in “<em>High-Risk</em>” patients, which persisted after discharge. These risk categories are a useful tool for identifying high-risk patients.</div></div>\",\"PeriodicalId\":100119,\"journal\":{\"name\":\"Archives of Gerontology and Geriatrics Plus\",\"volume\":\"2 3\",\"pages\":\"Article 100180\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Gerontology and Geriatrics Plus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2950307825000621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Gerontology and Geriatrics Plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950307825000621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Frailty and delirium: A fatal combination in older adults
Background
Frailty and delirium commonly coexist in acutely ill older adults, but they are variably measured. The Clinical Frailty Scale (CFS) and the 4AT scores are advocated as standardised tools to assess these conditions. We have developed risk categories based on these scales to predict mortality.
Methods
Two-graph ROC curve analysis derived thresholds at 5.5 for CFS and 1 for 4AT for predicting mortality, from which three composite Risk-Categories were created: “Low-Risk” represents low scores for both CFS (1–6) and 4AT (0); Intermediate-Risk” represents either high CFS (7–9) or high 4AT (1–12) scores; and High-Risk” represents both high CFS and 4AT scales. These Risk-Categories were used to predict in-hospital or 30-day mortality using logistic regression, and up to 27 months since admission using Cox regression; adjusted for age, sex, Charlson comorbidity index, anticholinergic burden and polypharmacy.
Results
There were 1192 patients (57.1 % women) of mean age 86.1 yr (SD=7.1) consecutively admitted to a hospital. Compared to those in the “Low-Risk” category (reference), in-hospital mortality odds-ratios (ORs; 95 %CI) were greater for those in the “Intermediate-Risk” category: OR=1.74 (1.11–2.72), and “High-Risk” category: OR=2.72 (1.47–5.02). Corresponding values for within 30-day mortality were: OR=1.75 (1.18–2.60) and OR=3.03 (1.76–5.21). Risk of death within 27 months of admission was increased in the “High-Risk” category: hazard ratio=1.46 (1.14–1.87). The association of CFS and mortality was partially mediated by 4AT.
Conclusion
Mortality in hospital was approximately doubled in “Intermediate-Risk” and tripled in “High-Risk” patients, which persisted after discharge. These risk categories are a useful tool for identifying high-risk patients.