RESUMO
A validation of the GeRi-Score on 120-day mortality, the impact of a pre-operative visit by a geriatrician, and timing of surgery on the outcome was conducted. The score has predictive value for 120-day mortality. No advantage was found for surgery within 24 h or a preoperative geriatric visit. PURPOSE: Numerous tools predict mortality among patients with hip fractures, but they include many variables, require time-consuming assessment, and are difficult to calculate. The GeRi-Score provides a quick method of pre-operative assessment. The aim of this study is to validate the score in the 120-day follow-up and determine the impact of a pre-operative visit by a geriatrician and timing of surgery on the patient outcome. METHODS: A retrospective analysis of the AltersTraumaRegister DGU® from 2017 to 2021 was conducted, including all proximal femur fractures. The patients were divided into low-, moderate-, and high-risk groups based on the GeRi-Score. Mortality was analyzed using logistic regression. To determine the influence of the time to surgery and the preoperative visit by a geriatrician, matching was performed using the exact GeRi-Score, preoperative walking ability, type of fracture, and the time to surgery. RESULTS: The study included 38,570 patients, divided into 12,673 low-risk, 18,338 moderate-risk, and 7,559 high-risk patients. The moderate-risk group had three times the mortality risk of the low-risk group (OR 3.19 (95% CI 2.68-3.79; p<0.001)), while the high-risk group had almost eight times the mortality risk than the low-risk group (OR 7.82 (95% CI 6.51-9.93; p<0.001)). No advantage was found for surgery within the first 24 h across all groups. There was a correlation of a preoperative geriatric visit and mortality showing an increase in the moderate and high-risk group on in-house mortality. CONCLUSIONS: The GeRi-Score has predictive value for 120-day mortality. No advantage was found for surgery within 24 h. The analysis did not demonstrate a benefit of the preoperative geriatric visit, but more data are needed.
Assuntos
Avaliação Geriátrica , Fraturas do Quadril , Fraturas por Osteoporose , Cuidados Pré-Operatórios , Sistema de Registros , Tempo para o Tratamento , Humanos , Idoso , Feminino , Masculino , Fraturas do Quadril/cirurgia , Fraturas do Quadril/mortalidade , Avaliação Geriátrica/métodos , Idoso de 80 Anos ou mais , Estudos Retrospectivos , Medição de Risco/métodos , Tempo para o Tratamento/estatística & dados numéricos , Seguimentos , Fraturas por Osteoporose/cirurgia , Fraturas por Osteoporose/mortalidade , Cuidados Pré-Operatórios/métodosRESUMO
This study developed an easy-to-use mortality prediction tool, which showed an acceptable discrimination and no significant lack of fit. The GeRi-Score was able to predict mortality and could distinguish between mild, moderate and high risk groups. Therefore, the GeRi-Score might have the potential to distribute the intensity of medical care. PURPOSE: Several mortality-predicting tools for hip fracture patients are available, but all consist of a high number of variables, require a time-consuming evaluation and/or are difficult to calculate. The aim of this study was to develop and validate an easy-to-use score, which depends mostly on routine data. METHODS: Patients from the Registry for Geriatric Trauma were divided into a development and a validation group. Logistic regression models were used to build a model for in-house mortality and to obtain a score. Candidate models were compared using Akaike information criteria (AIC) and likelihood ratio tests. The quality of the model was tested using the area under the curve (AUC) and the Hosmer-Lemeshow test. RESULTS: 38,570 patients were included, almost equal distributed to the development and to the validation dataset. The AUC was 0.727 (95% CI 0.711 - 0.742) for the final model, AIC resulted in a significant reduction in deviance compared to the basic model, and the Hosmer-Lemeshow test showed no significant lack of fit (p = 0.07). The GeRi-Score predicted an in-house mortality of 5.3% vs. 5.3% observed mortality in the development dataset and 5.4% vs. 5.7% in the validation dataset. The GeRi-Score was able to distinguish between mild, moderate and high risk groups. CONCLUSIONS: The GeRi-Score is an easy-to-use mortality-predicting tool with an acceptable discrimination and no significant lack of fit. The GeRi-Score might have the potential to distribute the intensity of perioperative medical care in hip fracture surgery and can be used in quality management programs as benchmark tool.