Can Frailty Tools Predict the Mortality, Readmission, and Hospitalization of Geriatric Emergency Attenders?

dc.authorid0000-0002-6936-4924
dc.contributor.authorSolakoglu, Gorkem Alper
dc.contributor.authorAçıksarı, Kurtuluş
dc.contributor.authorAdak, Nur Aleyna
dc.date.accessioned2025-05-10T19:32:19Z
dc.date.issued2021
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description.abstractBackground: The population in Turkey, as well as globally, is aging, and frail patients appear more frequently in emergency departments. Our study aims to identify various frailty tools to stratify risk for patients in terms of inpatient mortality, the prevalence of hospitalization, the length of hospital stay, and 30-day readmission. Materials and Method: In an emergency department, geriatric patients over the age of 65 were assessed using the PRISMA-7 questionnaire, the Clinical Frailty Scale (CFS), and the Identification of Seniors at Risk (ISAR) tool to predict the possibility of hospitalization, 30-day readmission, and mortality. In addition, demographic and socioeconomic parameters were analyzed. Results: In total, 137 patients with a mean age of 80.19 +/- 8.12 years were assessed. Both the CFS and ISAR tools failed to predict mortality, 30-day readmission, and hospitalization (p >.05). The PRISMA-7 tool was not statistically related to mortality (p =.018) or hospitalization (p =.038) but did predict 30-day readmission (p =.677). The average number of hospitalization days of the patients was 9.96 +/- 9.78 (1-45 days). There was no statistically significant relation between age, monthly income, distance to hospital, and polypharmacy to mortality, 30-day readmission, hospitalization, and outpatient clinic admission (p >.05). Conclusion: The PRISMA-7 questionnaire, but not the CFS or ISAR, might be used by geriatric emergency attenders to assess risk for hospitalization and mortality. However, the development of more standardized and prospective study protocols is needed to draw further conclusions. Copyright (C) 2021, Taiwan Society of Geriatric Emergency & Critical Care Medicine.
dc.identifier.doi10.6890/IJGE.202104_15(2).0011
dc.identifier.endpage149
dc.identifier.issn1873-9598
dc.identifier.issn1873-958X
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85114714890
dc.identifier.scopusqualityQ4
dc.identifier.startpage145
dc.identifier.urihttps://doi.org/10.6890/IJGE.202104_15(2).0011
dc.identifier.urihttps://hdl.handle.net/20.500.14730/8227
dc.identifier.volume15
dc.identifier.wosWOS:000641684600012
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaiwan Soc Geriatric Emergency & Critical Care Medicine-Tsgecm
dc.relation.ispartofInternational Journal of Gerontology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250302
dc.subjectfrailty
dc.subjectemergency department
dc.subjectpatient readmission
dc.subjecthospital mortality
dc.titleCan Frailty Tools Predict the Mortality, Readmission, and Hospitalization of Geriatric Emergency Attenders?
dc.typeArticle

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