AIM: The morbidity and mortality after a hip fracture in the elderly population are multifactorial. The aim of this study is to determine the long-term impact of specific factors to mortality rate and mobility after a hip fracture in the elderly. MATERIALS AND METHODS: Elderly suffering a hip fracture after a low-energy trauma was included in the study, whereas moribund patients with severe comorbid conditions and high-energy trauma were excluded. All the patients were treated operatively during 2003. Data for survivorship and mobilization was collected six months, one and ten years after the operation. Kaplan-Meier log rang test was used for the survival analysis and cox regression for multivariate analysis of prediction factors such as age, gender, time to surgery after trauma, type of fracture, ambulation status before injury and early walking ability after the surgery. RESULTS: Two hundred and thirty three patients were finally included to the study. Gender (p = 0.64) and type of fracture (p = 0.92) seem to have no statistically significant impact on survivorship. Age (p < 0.001), time of surgery after the trauma (p = 0.001), ambulation status (p < 0.001) and early walking ability after the surgery (p < 0.001) seem to have statistically significant impact on mortality, as independent factors. The significance is present one year and ten years after the surgery. However, according to the multivariate analysis, time to surgery after trauma and age lose significance, while early walking ability remain significant one and ten years after surgery (p < 0.001). Ambulation status seem to lose significance early after surgery, but reach significance ten years postoperatively (p < 0.001). CONCLUSION: In summary, it could be stated that early walking ability after an operation for a hip fracture in elderly is the most significant prediction factor of survivorship one and ten years postoperatively. Ambulation status before injury is a significant long-term predictor factor for survivorship.
AIM: The morbidity and mortality after a hip fracture in the elderly population are multifactorial. The aim of this study is to determine the long-term impact of specific factors to mortality rate and mobility after a hip fracture in the elderly. MATERIALS AND METHODS: Elderly suffering a hip fracture after a low-energy trauma was included in the study, whereas moribund patients with severe comorbid conditions and high-energy trauma were excluded. All the patients were treated operatively during 2003. Data for survivorship and mobilization was collected six months, one and ten years after the operation. Kaplan-Meier log rang test was used for the survival analysis and cox regression for multivariate analysis of prediction factors such as age, gender, time to surgery after trauma, type of fracture, ambulation status before injury and early walking ability after the surgery. RESULTS: Two hundred and thirty three patients were finally included to the study. Gender (p = 0.64) and type of fracture (p = 0.92) seem to have no statistically significant impact on survivorship. Age (p < 0.001), time of surgery after the trauma (p = 0.001), ambulation status (p < 0.001) and early walking ability after the surgery (p < 0.001) seem to have statistically significant impact on mortality, as independent factors. The significance is present one year and ten years after the surgery. However, according to the multivariate analysis, time to surgery after trauma and age lose significance, while early walking ability remain significant one and ten years after surgery (p < 0.001). Ambulation status seem to lose significance early after surgery, but reach significance ten years postoperatively (p < 0.001). CONCLUSION: In summary, it could be stated that early walking ability after an operation for a hip fracture in elderly is the most significant prediction factor of survivorship one and ten years postoperatively. Ambulation status before injury is a significant long-term predictor factor for survivorship.
Authors: Juan F Blanco; Carmen da Casa; Carmen Pablos-Hernández; Alfonso González-Ramírez; José Miguel Julián-Enríquez; Agustín Díaz-Álvarez Journal: PLoS One Date: 2021-02-16 Impact factor: 3.240
Authors: Paween Tangchitphisut; Jiraporn Khorana; Phichayut Phinyo; Jayanton Patumanond; Sattaya Rojanasthien; Theerachai Apivatthakakul Journal: Int J Environ Res Public Health Date: 2022-03-28 Impact factor: 3.390