Rocío Menéndez-Colino1,2, Alicia Gutiérrez Misis2,3, Teresa Alarcon1,2,4,3, Jesús Díez-Sebastián5, Macarena Díaz de Bustamante2,6, Rocío Queipo2,4,3, Angel Otero2,4,3, Juan I González-Montalvo1,2,4,3. 1. Department of Geriatric Medicine, La Paz University Hospital, Madrid, Spain. 2. Institute for Biomedical Research, La Paz University Hospital (IdiPAZ) Madrid Spain. 3. Department of Medicine, Autonomous University of Madrid, Spain. 4. Thematic Network of Cooperative Research on Aging and Fragility (RETICEF). 5. Research Unit, La Paz University Hospital, Madrid, Spain. 6. Puerta del Hierro University Hospital of Majadahonda - Geriatric Medicine, Majadahonda, Spain.
Abstract
PURPOSE: The aim of this study was to develop a new comprehensive preoperative risk score for predicting mortality during the first year after hip fracture (HF) and its comparison with 3 other risk prediction models. METHODS: All patients admitted consecutively with a fragility HF during 1 year in a co-managed orthogeriatric unit at a university hospital were assessed and followed for 1 year. Factors independently associated with 1-year mortality were used to create the HULP-HF (Hospital Universitario La Paz - Hip Fracture) score. The predictive validity, discrimination and calibration of the HULP-HF score, the American Society of Anesthesiologists (ASA) scale, the abbreviated Charlson comorbidity index (a-CCI) and the Nottingham Hip Fracture score (NHFS) were compared. Discriminative performance was assessed using the area under the curve (AUC) and calibration by the Hosmer-Lemeshow goodness-of-fit-test. RESULTS: 509 patients were included. 1-year mortality was 23.2%. The 8 independent mortality risk factors included in the HULP-HF score were age >85 years, baseline functional and cognitive impairment, low body mass index, heart disease, low hand-grip strength, anaemia on admission, and secondary hyperparathyroidism associated with vitamin D deficiency. The AUC was 0.79 in the HULP-HF score, 0.66 in the NHFS, 0.61 in the abbreviated CCI and 0.59 in the ASA scale. The HULP-HF score, the NHFS and the abbreviated CCI all presented good levels of calibration (p > 0.05). CONCLUSIONS: The HULP-HF score has a predictive capacity for 1-year mortality in HF patients slightly superior to that of other previously existing scores.
PURPOSE: The aim of this study was to develop a new comprehensive preoperative risk score for predicting mortality during the first year after hip fracture (HF) and its comparison with 3 other risk prediction models. METHODS: All patients admitted consecutively with a fragility HF during 1 year in a co-managed orthogeriatric unit at a university hospital were assessed and followed for 1 year. Factors independently associated with 1-year mortality were used to create the HULP-HF (Hospital Universitario La Paz - Hip Fracture) score. The predictive validity, discrimination and calibration of the HULP-HF score, the American Society of Anesthesiologists (ASA) scale, the abbreviated Charlson comorbidity index (a-CCI) and the Nottingham Hip Fracture score (NHFS) were compared. Discriminative performance was assessed using the area under the curve (AUC) and calibration by the Hosmer-Lemeshow goodness-of-fit-test. RESULTS: 509 patients were included. 1-year mortality was 23.2%. The 8 independent mortality risk factors included in the HULP-HF score were age >85 years, baseline functional and cognitive impairment, low body mass index, heart disease, low hand-grip strength, anaemia on admission, and secondary hyperparathyroidism associated with vitamin D deficiency. The AUC was 0.79 in the HULP-HF score, 0.66 in the NHFS, 0.61 in the abbreviated CCI and 0.59 in the ASA scale. The HULP-HF score, the NHFS and the abbreviated CCI all presented good levels of calibration (p > 0.05). CONCLUSIONS: The HULP-HF score has a predictive capacity for 1-year mortality in HF patients slightly superior to that of other previously existing scores.
Entities:
Keywords:
Hip fracture; mortality; risk prediction; scoring
Authors: Alberto Grassi; Luca Andriolo; Davide Golinelli; Dario Tedesco; Simona Rosa; Pasquale Gramegna; Jacopo Ciaffi; Riccardo Meliconi; Maria Paola Landini; Giuseppe Filardo; Maria Pia Fantini; Stefano Zaffagnini Journal: Int J Environ Res Public Health Date: 2021-05-13 Impact factor: 3.390
Authors: Francisco José Tarazona-Santabalbina; Cristina Ojeda-Thies; Jesús Figueroa Rodríguez; Concepción Cassinello-Ogea; José Ramón Caeiro Journal: Int J Environ Res Public Health Date: 2021-03-16 Impact factor: 3.390