PDF(Pubmed)
Abstract：
UNASSIGNED: The aim of this study was to determine the variations in effect for predictors of mortality over time and risk of in-hospital complications in geriatric patients with a hip fracture. Many studies have investigated risk factors of short-term and long-term mortality separately. In current literature, little is known about the variations in effect of risk factors over time and no comparison with the general population is made.
UNASSIGNED: All patients with a hip fracture aged 70 years or older admitted to our hospital between January 1, 2016, and May 1, 2018, were included in this retrospective study. Patients who had undergone total hip arthroplasty (THA) were not included. The primary outcome was mortality after 1 year. Secondary outcomes were mortality after 30 days, 90 days, 2 years, and complications. Kaplan-Meier (KM) curves for risk factors were generated to visualize survival over time. Data were compared with data extracted from the national health records.
UNASSIGNED: A total of 685 geriatric patients with hip fractures were included with a 1-year mortality of 27%. The adjusted odds ratios (AOR) found differed over time. Five risk factors for mortality were investigated in this study using KM curves: age, prefracture living situation, dementia, sex, and ASA classification.
UNASSIGNED: Over time, the variation of 5 risk factors for mortality were visualized in geriatric patients with a hip fracture: age, prefracture living situation, dementia, sex, and ASA classification. An elevated risk of mortality was discovered compared with the general population. The variation in effect observed in risk factors plays a vital role in prognosis. This insight will help guide accurate medical decision-making for a tailored treatment plan for geriatric patients with a hip fracture.
UNASSIGNED: All patients with a hip fracture aged 70 years or older admitted to our hospital between January 1, 2016, and May 1, 2018, were included in this retrospective study. Patients who had undergone total hip arthroplasty (THA) were not included. The primary outcome was mortality after 1 year. Secondary outcomes were mortality after 30 days, 90 days, 2 years, and complications. Kaplan-Meier (KM) curves for risk factors were generated to visualize survival over time. Data were compared with data extracted from the national health records.
UNASSIGNED: A total of 685 geriatric patients with hip fractures were included with a 1-year mortality of 27%. The adjusted odds ratios (AOR) found differed over time. Five risk factors for mortality were investigated in this study using KM curves: age, prefracture living situation, dementia, sex, and ASA classification.
UNASSIGNED: Over time, the variation of 5 risk factors for mortality were visualized in geriatric patients with a hip fracture: age, prefracture living situation, dementia, sex, and ASA classification. An elevated risk of mortality was discovered compared with the general population. The variation in effect observed in risk factors plays a vital role in prognosis. This insight will help guide accurate medical decision-making for a tailored treatment plan for geriatric patients with a hip fracture.
摘要：
■本研究的目的是确定老年髋部骨折患者随时间的死亡率和院内并发症风险的影响因素的变化。许多研究分别调查了短期和长期死亡率的危险因素。在当前的文学中,人们对风险因素随时间的影响变化知之甚少，也没有与普通人群进行比较。
■2016年1月1日至2018年5月1日期间入住我院的所有70岁以上髋部骨折患者均纳入本回顾性研究。不包括接受全髋关节置换术（THA）的患者。主要结果是1年后的死亡率。次要结果是30天后的死亡率，90天,2年,和并发症。生成风险因素的Kaplan-Meier(KM)曲线以可视化随时间的存活。将数据与从国家健康记录中提取的数据进行比较。
■共纳入685例老年髋部骨折患者，1年死亡率为27%。发现的调整后的优势比(AOR)随着时间的推移而有所不同。在这项研究中，使用KM曲线调查了死亡的五个危险因素：年龄，骨折前生活状况,痴呆症,性别,和ASA分类。
■随着时间的推移，老年髋部骨折患者死亡的5个危险因素的变化是可视化的:年龄,骨折前生活状况,痴呆症,性别,和ASA分类。与普通人群相比，发现死亡风险升高。在危险因素中观察到的效果变化在预后中起着至关重要的作用。这种见解将有助于指导为髋部骨折老年患者量身定制的治疗计划做出准确的医疗决策。
■2016年1月1日至2018年5月1日期间入住我院的所有70岁以上髋部骨折患者均纳入本回顾性研究。不包括接受全髋关节置换术（THA）的患者。主要结果是1年后的死亡率。次要结果是30天后的死亡率，90天,2年,和并发症。生成风险因素的Kaplan-Meier(KM)曲线以可视化随时间的存活。将数据与从国家健康记录中提取的数据进行比较。
■共纳入685例老年髋部骨折患者，1年死亡率为27%。发现的调整后的优势比(AOR)随着时间的推移而有所不同。在这项研究中，使用KM曲线调查了死亡的五个危险因素：年龄，骨折前生活状况,痴呆症,性别,和ASA分类。
■随着时间的推移，老年髋部骨折患者死亡的5个危险因素的变化是可视化的:年龄,骨折前生活状况,痴呆症,性别,和ASA分类。与普通人群相比，发现死亡风险升高。在危险因素中观察到的效果变化在预后中起着至关重要的作用。这种见解将有助于指导为髋部骨折老年患者量身定制的治疗计划做出准确的医疗决策。
