Ron M J Warnier1,2,3, Erik van Rossum1,4, Sander M J van Kuijk5, Wubbo J Mulder2, Jos M G A Schols1,6, Gertrudis I J M Kempen1. 1. Care and Public Health Research Institute (CAPHRI), Department of Health Services Research, Maastricht University, Maastricht, The Netherlands. 2. Department of Internal Medicine, Division of Geriatrics, Maastricht University Medical Centre, Maastricht, The Netherlands. 3. Department of Integrated Care, Division of Elderly care, Maastricht University Medical Centre, Maastricht, The Netherlands. 4. Zuyd University of Applied Sciences, Heerlen, The Netherlands. 5. Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands. 6. Care and Public Health Research Institute (CAPHRI), Department of Family Medicine, Maastricht University, Maastricht, The Netherlands.
Abstract
BACKGROUND: The Maastricht frailty screening tool for hospitalised patients (MFST-HP) is a frailty screening tool that is fully integrated in the nursing assessment at admission. This study aims to determine the predictive value of the MFST-HP for the health outcomes length of hospital stay, discharge destination, readmission and mortality. METHODS: Data of 2691 hospitalised patients (70+), admitted between 01-01-2013 and 31-12-2013, were included in the study. The predictive value of the MFST-HP was analysed by means of receiver operating characteristics curves. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for different MFST-HP cut-off scores were examined. RESULTS: Mean age of the population was 78.9 years (SD 6.4) and their average length of stay was 10.2 days (SD 9.7). Nearly 75.0% of the patients were discharged to their home and around. Approximately 25% of the patients were readmitted within 120 days. Mortality rates were 4.3% and 9.5% (within 30 or 120 days postdischarge, respectively). The area under the curve was moderate and varied from 0.50 to 0.69 for the different outcomes. As a result of high values on negative predictive value (between 73.5% and 96.7%) the MFST-HP is able to rule out a large proportion of non-frail patients. In this study 84% of the patients had a MFST-HP score of ≥ 6, suggested as most favourable cut off. CONCLUSIONS: The MFST-HP seems to operate more strongly as a non-frailty indicator than as a frailty indicator and may in this respect help professionals to decide upon subsequent care. The MFST-HP is able to rule out 84% of the non-frail population in this study. The remaining 16% need to be assessed by means of a comprehensive geriatric assessment or rapid geriatric assessment, to gain more insight in the level of vulnerability in the frail-group.
BACKGROUND: The Maastricht frailty screening tool for hospitalised patients (MFST-HP) is a frailty screening tool that is fully integrated in the nursing assessment at admission. This study aims to determine the predictive value of the MFST-HP for the health outcomes length of hospital stay, discharge destination, readmission and mortality. METHODS: Data of 2691 hospitalised patients (70+), admitted between 01-01-2013 and 31-12-2013, were included in the study. The predictive value of the MFST-HP was analysed by means of receiver operating characteristics curves. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for different MFST-HP cut-off scores were examined. RESULTS: Mean age of the population was 78.9 years (SD 6.4) and their average length of stay was 10.2 days (SD 9.7). Nearly 75.0% of the patients were discharged to their home and around. Approximately 25% of the patients were readmitted within 120 days. Mortality rates were 4.3% and 9.5% (within 30 or 120 days postdischarge, respectively). The area under the curve was moderate and varied from 0.50 to 0.69 for the different outcomes. As a result of high values on negative predictive value (between 73.5% and 96.7%) the MFST-HP is able to rule out a large proportion of non-frail patients. In this study 84% of the patients had a MFST-HP score of ≥ 6, suggested as most favourable cut off. CONCLUSIONS: The MFST-HP seems to operate more strongly as a non-frailty indicator than as a frailty indicator and may in this respect help professionals to decide upon subsequent care. The MFST-HP is able to rule out 84% of the non-frail population in this study. The remaining 16% need to be assessed by means of a comprehensive geriatric assessment or rapid geriatric assessment, to gain more insight in the level of vulnerability in the frail-group.
Authors: Myriam Oviedo-Briones; Ángel Rodríguez-Laso; José Antonio Carnicero; Barbara Gryglewska; Alan J Sinclair; Francesco Landi; Bruno Vellas; Fernando Rodríguez Artalejo; Marta Checa-López; Leocadio Rodriguez-Mañas Journal: J Cachexia Sarcopenia Muscle Date: 2022-04-15 Impact factor: 12.063