دورية أكاديمية
Interaction between geriatric syndromes in predicting three months mortality risk.
| العنوان: | Interaction between geriatric syndromes in predicting three months mortality risk. |
|---|---|
| المؤلفون: | Oud FMM; Department of Geriatrics and Centre of Excellence for Old Age Medicine, Gelre Ziekenhuizen Apeldoorn and Zutphen, the Netherlands; Department of Internal Medicine, University Medical Centre Groningen, Groningen, the Netherlands. Electronic address: f.m.m.oud@umcg.nl., Schut MC; Department of Medical Informatics, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands., Spies PE; Department of Geriatrics and Centre of Excellence for Old Age Medicine, Gelre Ziekenhuizen Apeldoorn and Zutphen, the Netherlands., van der Zaag-Loonen HJ; Department of Internal Medicine, University Medical Centre Groningen, Groningen, the Netherlands., de Rooij SE; Department of Medical Informatics, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands; Amstelland Hospital, Amstelveen, the Netherlands., Abu-Hanna A; Department of Medical Informatics, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands., van Munster BC; Department of Internal Medicine, University Medical Centre Groningen, Groningen, the Netherlands. |
| المصدر: | Archives of gerontology and geriatrics [Arch Gerontol Geriatr] 2022 Nov-Dec; Vol. 103, pp. 104774. Date of Electronic Publication: 2022 Jul 08. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Biomedical Press Country of Publication: Netherlands NLM ID: 8214379 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6976 (Electronic) Linking ISSN: 01674943 NLM ISO Abbreviation: Arch Gerontol Geriatr Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam : Elsevier Biomedical Press, c1982- |
| مستخلص: | Objectives: Capturing frailty using a quick tool has proven to be challenging. We hypothesise that this is due to the complex interactions between frailty domains. We aimed to identify these interactions and assess whether adding interactions between domains improves mortality predictability. Methods: In this retrospective cohort study, we selected all patients aged 70 or older who were admitted to one Dutch hospital between April 2015 and April 2016. Patient characteristics, frailty screening (using VMS (Safety Management System), a screening tool used in Dutch hospital care), length of stay, and mortality within three months were retrospectively collected from electronic medical records. To identify predictive interactions between the frailty domains, we constructed a classification tree with mortality as the outcome using five variables: the four VMS-domains (delirium risk, fall risk, malnutrition, physical impairment) and their sum. To determine if any domain interactions were predictive for three-month mortality, we performed a multivariable logistic regression analysis. Results: We included 4,478 patients. (median age: 79 years; maximum age: 101 years; 44.8% male) The highest risk for three-month mortality included patients that were physically impaired and malnourished (23% (95%-CI 19.0-27.4%)). Subgroups had comparable three-month mortality risks based on different domains: malnutrition without physical impairment (15.2% (96%-CI 12.4-18.6%)) and physical impairment and delirium risk without malnutrition (16.3% (95%-CI 13.7-19.2%)). Discussion: We showed that taking interactions between domains into account improves the predictability of three-month mortality risk. Therefore, when screening for frailty, simply adding up domains with a cut-off score results in loss of valuable information. Competing Interests: Declaration of Competing Interest The authors have no personal or financial conflicts of interest. (Copyright © 2022. Published by Elsevier B.V.) |
| فهرسة مساهمة: | Keywords: Frailty; Older patients; Screening; Vulnerable |
| تواريخ الأحداث: | Date Created: 20220719 Latest Revision: 20231013 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1016/j.archger.2022.104774 |
| PMID: | 35849976 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 1872-6976 |
|---|---|
| DOI: | 10.1016/j.archger.2022.104774 |