Jordi Amblàs-Novellas1, Joan Carles Martori2, Núria Molist Brunet3, Ramon Oller2, Xavier Gómez-Batiste4, Joan Espaulella Panicot5. 1. Unidad Geriátrica de Agudos, Hospital Universitari de Vic/Consorci Hospitlari de Vic, Vic., Vic, España; Unidad Territorial de Geriatría y Cuidados Paliativos, Consorci Hospitlari de Vic/Hospital Universitari de la Santa Creu de Vic,Vic, España; Centro de Estudios Sociales y Sanitarios (CESS)/Cátedra de Cuidados Paliativos. Universitat de Vic-Universitat Central de Catalunya,Vic, España. Electronic address: jordiamblas@gmail.com. 2. Data Analysis and Modeling Research Group, Universitat de Vic-Universitat Central de Catalunya,Vic, España. 3. Unidad Geriátrica de Agudos, Hospital Universitari de Vic/Consorci Hospitlari de Vic, Vic., Vic, España; Unidad Territorial de Geriatría y Cuidados Paliativos, Consorci Hospitlari de Vic/Hospital Universitari de la Santa Creu de Vic,Vic, España; Centro de Estudios Sociales y Sanitarios (CESS)/Cátedra de Cuidados Paliativos. Universitat de Vic-Universitat Central de Catalunya,Vic, España. 4. Centro de Estudios Sociales y Sanitarios (CESS)/Cátedra de Cuidados Paliativos. Universitat de Vic-Universitat Central de Catalunya,Vic, España. 5. Unidad Territorial de Geriatría y Cuidados Paliativos, Consorci Hospitlari de Vic/Hospital Universitari de la Santa Creu de Vic,Vic, España; Centro de Estudios Sociales y Sanitarios (CESS)/Cátedra de Cuidados Paliativos. Universitat de Vic-Universitat Central de Catalunya,Vic, España.
Abstract
INTRODUCTION: Frailty is closely linked to health results. Frailty indexes (FI) and the Comprehensive Geriatric Assessment (CGA) are multidimensional tools. FI serve to quantitatively measure frailty levels. They have shown to have an excellent correlation with mortality. However, they are infrequently used in clinical practice. Given the need for new, more concise, and pragmatic FI, a new FI is proposed based on a CGA (Frail-VIG Index). MATERIAL AND METHODS: A prospective, observational, longitudinal study was conducted, with cohort follow up at 12 months or death. Participants were patients admitted in the Geriatric Unit of the University Hospital of Vic (Barcelona, Spain) during 2014. Contrast of hypothesis log-rank for survival curves according to Frail-VIG index, and analysis of ROC curves were performed to assess prognostic capacity. RESULTS: A total of 590 patients were included (mean age=86.39). Mortality rate at 12 months was 46.4%. The comparative analysis showed statistically significant differences (P<.05) for almost all variables included in the Frail-VIG index. Survival curves also show significant differences (X2=445, P<.001) for the different Frail-VIG index scores. The area under the ROC curve at 12 months was 0.9 (0.88-0.92). An administration time of the Index is estimated at less than 10minutes. CONCLUSIONS: Results endorse the Frail-VIG index as a simple (as for contents), rapid (for administration time) tool, with discriminative (for situational diagnosis) and predictive capacity (high correlation with mortality).
INTRODUCTION: Frailty is closely linked to health results. Frailty indexes (FI) and the Comprehensive Geriatric Assessment (CGA) are multidimensional tools. FI serve to quantitatively measure frailty levels. They have shown to have an excellent correlation with mortality. However, they are infrequently used in clinical practice. Given the need for new, more concise, and pragmatic FI, a new FI is proposed based on a CGA (Frail-VIG Index). MATERIAL AND METHODS: A prospective, observational, longitudinal study was conducted, with cohort follow up at 12 months or death. Participants were patients admitted in the Geriatric Unit of the University Hospital of Vic (Barcelona, Spain) during 2014. Contrast of hypothesis log-rank for survival curves according to Frail-VIG index, and analysis of ROC curves were performed to assess prognostic capacity. RESULTS: A total of 590 patients were included (mean age=86.39). Mortality rate at 12 months was 46.4%. The comparative analysis showed statistically significant differences (P<.05) for almost all variables included in the Frail-VIG index. Survival curves also show significant differences (X2=445, P<.001) for the different Frail-VIG index scores. The area under the ROC curve at 12 months was 0.9 (0.88-0.92). An administration time of the Index is estimated at less than 10minutes. CONCLUSIONS: Results endorse the Frail-VIG index as a simple (as for contents), rapid (for administration time) tool, with discriminative (for situational diagnosis) and predictive capacity (high correlation with mortality).
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