M Ritt1, K H Rádi, C Schwarz, L C Bollheimer, C C Sieber, K G Gaßmann. 1. Priv.-Doz. Dr. med. Dr. med. univ. Martin Ritt, Department of Internal Medicine III (Medicine of Ageing), Geriatrics Centre Erlangen, Hospital of the Congregation of St. Francis Sisters of Vierzehnheiligen Rathsbergerstraße 57, D-91054 Erlangen, Germany, Tel: +49-(0)9131 822 3702, Fax: +49-(0)9131 822 3703, Email: Martin.Ritt@waldkrankenhaus.de.
Abstract
OBJECTIVE: To compare the ability of different frailty indexes based on a standardized comprehensive geriatric assessment (FI-CGAs) for predicting adverse outcomes. DESIGN AND SETTING: Prospective cohort study. Geriatric wards of a general hospital. PARTICIPANTS: 307 hospitalized patients ≥ 65 years. MEASUREMENTS: The FI-CGA-10D (potential health deficits in ten functional domains), the FI-CGA-10D+CM (aforementioned potential health deficits and co-morbidity burden) and the FI-CGA-MIHD (multiple, individual potential health deficits, including functional deficits, co-morbid diseases, amongst others) were assessed at baseline during the patients` hospital stay. The FI-CGAs were analyzed as categorical (according to a FI-CGA score < and ≥ 0.25) and continuous variables. Patients were followed up over 6 months. RESULTS: The FI-CGA-10D, FI-CGA-10+CM and the FI-CGA-MIHD predicted 6-month mortality when expressed as categorical (area under the receiver operating characteristic curve (AUC): AUC = 0.611, AUC = 0.637, AUC = 0.616, all p < 0.050, respectively) or continuous variables (AUC = 0.769, AUC = 0.837, AUC = 0.834, all p < 0.001, respectively). AUC comparisons showed that all three FI-CGAs exhibited a comparable ability to predict 6-month mortality when the FI-CGAs were expressed as categorical variables (all p > 0.200) and the FI-CGA-10D+CM and the FI-CGA-MIHD showed a better ability to predict 6-month mortality than the FI-CGA-10D, when the FI-CGAs were expressed as continuous variables (p < 0.001 and p = 0.007, respectively). None of the FI-CGAs predicted any of the other outcomes, i.e., unplanned re-admission to hospital and a fall during follow-up, irrespective of whether the FI-CGAs were expressed as categorical or continuous variables (all p ≥ 0.050). CONCLUSIONS: The more complex FI-CGAs, i.e., the FI-CGA-10D+CM and the FI-CGA-MIHD, revealed better ability to predict 6 month mortality than the more simple FI-CGA, i.e., the FI-CGA-10D.
OBJECTIVE: To compare the ability of different frailty indexes based on a standardized comprehensive geriatric assessment (FI-CGAs) for predicting adverse outcomes. DESIGN AND SETTING: Prospective cohort study. Geriatric wards of a general hospital. PARTICIPANTS: 307 hospitalized patients ≥ 65 years. MEASUREMENTS: The FI-CGA-10D (potential health deficits in ten functional domains), the FI-CGA-10D+CM (aforementioned potential health deficits and co-morbidity burden) and the FI-CGA-MIHD (multiple, individual potential health deficits, including functional deficits, co-morbid diseases, amongst others) were assessed at baseline during the patients` hospital stay. The FI-CGAs were analyzed as categorical (according to a FI-CGA score < and ≥ 0.25) and continuous variables. Patients were followed up over 6 months. RESULTS: The FI-CGA-10D, FI-CGA-10+CM and the FI-CGA-MIHD predicted 6-month mortality when expressed as categorical (area under the receiver operating characteristic curve (AUC): AUC = 0.611, AUC = 0.637, AUC = 0.616, all p < 0.050, respectively) or continuous variables (AUC = 0.769, AUC = 0.837, AUC = 0.834, all p < 0.001, respectively). AUC comparisons showed that all three FI-CGAs exhibited a comparable ability to predict 6-month mortality when the FI-CGAs were expressed as categorical variables (all p > 0.200) and the FI-CGA-10D+CM and the FI-CGA-MIHD showed a better ability to predict 6-month mortality than the FI-CGA-10D, when the FI-CGAs were expressed as continuous variables (p < 0.001 and p = 0.007, respectively). None of the FI-CGAs predicted any of the other outcomes, i.e., unplanned re-admission to hospital and a fall during follow-up, irrespective of whether the FI-CGAs were expressed as categorical or continuous variables (all p ≥ 0.050). CONCLUSIONS: The more complex FI-CGAs, i.e., the FI-CGA-10D+CM and the FI-CGA-MIHD, revealed better ability to predict 6 month mortality than the more simple FI-CGA, i.e., the FI-CGA-10D.
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: T E Dorner; E Luger; J Tschinderle; K V Stein; S Haider; A Kapan; C Lackinger; K E Schindler Journal: J Nutr Health Aging Date: 2014-03 Impact factor: 4.075
Authors: Alberto Pilotto; Franco Rengo; Niccolò Marchionni; Daniele Sancarlo; Andrea Fontana; Francesco Panza; Luigi Ferrucci Journal: PLoS One Date: 2012-01-11 Impact factor: 3.240
Authors: Lisa Cooper; Julia Loewenthal; Laura N Frain; Samir Tulebaev; Kristin Cardin; Tammy T Hshieh; Clark Dumontier; Shoshana Streiter; Carly Joseph; Austin Hilt; Olga Theou; Kenneth Rockwood; Ariela R Orkaby; Houman Javedan Journal: J Am Geriatr Soc Date: 2021-09-13 Impact factor: 7.538
Authors: Lisa Cooper; Ashley Deeb; Aaron R Dezube; Emanuele Mazzola; Clark Dumontier; Angela M Bader; Olga Theou; Michael T Jaklitsch; Laura N Frain Journal: Ann Surg Date: 2022-01-21 Impact factor: 13.787
Authors: Lisa Cooper; Yusi Gong; Aaron R Dezube; Emanuele Mazzola; Ashley L Deeb; Clark Dumontier; Michael T Jaklitsch; Laura N Frain Journal: J Surg Oncol Date: 2022-03-25 Impact factor: 2.885
Authors: Jordi Amblàs-Novellas; Joan Carles Martori; Joan Espaulella; Ramon Oller; Núria Molist-Brunet; Marco Inzitari; Roman Romero-Ortuno Journal: BMC Geriatr Date: 2018-01-26 Impact factor: 3.921