背景和目的面部骨折在容易跌倒的老龄化人群中越来越受到关注。鉴于此,本研究旨在探讨基于年龄效应的面部骨折类型和结局差异.确定不同年龄人群中面部骨折的严重程度和类型之间的差异将有助于在管理面部骨折患者时指导临床决策。方法这是一项单中心研究,涉及创伤登记数据,从2016年7月1日至2022年1月31日。纳入标准基于面部骨折的国际疾病分类(ICD-10)诊断。进行线性回归以确定预测变量对面部骨折创伤患者将经历损伤位置的各种年龄影响的可能性的影响。死亡率,和发病率。结果1575例患者纳入分析。发现了一个显著的回归方程(F(47,1476)=42.46,p<0.01),R2为0.57。年龄较大的面部骨折创伤患者更可能是女性(β=3.13,p<0.01),其zygoma骨折(β=2.57,p=0.02)。较高的缩写损伤量表(AIS)面部区域评分(β=2.21,p=0.03),住院时间更长(β=0.07,p=0.02),住院死亡率(β=10.47,p<0.01)也与年龄相关。年龄较大还与较高水平的几种发病标志物相关。年轻的面部骨折创伤患者更可能是非裔美国人(β=-5.46,p<0.01)或其他,非高加索种族(β=-8.66,p<0.01)和下颌骨骨折类型(β=-3.63,p<0.01)。年轻患者更可能被完全激活(β=-3.10,p<0.01),休克指数比(SIR)更高(β=-7.36,p<0.01)。年轻面部骨折患者的损伤机制更容易受到攻击(β=-12.43,p<0.01),四轮车/全地形车事故(β=-24.80,p<0.01),枪声(β=-15.18,p<0.01),轻便摩托车事故(β=-13.50,p<0.01),摩托车事故(β=-12.31,p<0.01),机动车事故(β=-16.52,p<0.01),或行人被机动车撞击(β=-10.69,p=0.02)。结论根据我们的发现,年龄影响面部骨折模式和结局。年轻患者更有可能通过非跌倒创伤经历多系统损伤。另一方面,老年患者更有可能经历更严重的原发性面部损伤。老年患者也有更高的跌倒相关创伤风险。性别和种族之间也存在差异,男性和非白种人患者在年轻时面部骨折受伤的风险较高。随着人口老龄化,跌倒的患病率可能会增加。因此,面部骨折是一个不断增长的医疗负担,需要未来的投资与护理和治疗。
Background and objective Facial fractures represent a growing concern among an aging population prone to falls. In light of this, this study aimed to investigate differential facial fracture patterns and outcomes based on age effects. Determining the differences between the severity and type of facial fractures in populations of different ages will help guide clinical decision-making when managing patients with facial fractures. Methods This was a single-center study involving trauma registry data, from July 1, 2016, to January 31, 2022. The inclusion criteria were based on the International Classification of Diseases (ICD-10) diagnosis of facial fracture. A linear regression was performed to ascertain the effects of predictor variables on the likelihood that a facial fracture trauma patient would experience various age effects on injury location, mortality, and morbidity. Results A total of 1575 patients were included in the analysis. A significant regression equation was found (F(47,1476)=42.46, p<0.01), with an R2 of 0.57. Older facial fracture trauma patients were more likely to be female (β=3.13, p<0.01) with fractures to their zygoma (β=2.57, p=0.02). Higher Abbreviated Injury Scale (AIS) facial region scores (β=2.21, p=0.03), longer hospital length of stay (β=0.07, p=0.02), and in-hospital mortality (β=10.47, p<0.01) were also associated with older age. Older age was additionally associated with a higher level of several morbidity markers. Younger facial fracture trauma patients were more likely to be African American (β=-5.46, p<0.01) or other, non-Caucasian race (β=-8.66, p<0.01) and to have mandible fracture patterns (β=-3.63, p<0.01). The younger patients were more likely to be fully activated (β=-3.10, p<0.01) with a higher shock index ratio (SIR) (β=-7.36, p<0.01). Injury mechanisms in younger facial fracture patients were more likely to be assault (β=-12.43, p<0.01), four-wheeler/ATV accident (β=-24.80, p<0.01), gunshot (β=-15.18, p<0.01), moped accident (β=-13.50, p<0.01), motorcycle accident (β=-12.31, p<0.01), motor vehicle accident (β=-16.52, p<.01), or pedestrian being struck by a motor vehicle (β=-10.69, p=0.02). Conclusions Based on our findings, age effects impact facial fracture patterns and outcomes. Younger patients are more likely to experience multisystem injuries via non-fall trauma. On the other hand, older patients are more likely to experience more severe primary facial injuries. Older patients are also at a higher risk of fall-related trauma. Disparities also exist between genders and races, with male and non-Caucasian patients being at a higher risk of injury from facial fractures at a younger age. With an aging population, the prevalence of falls is likely to increase. Thus, facial fractures represent a growing healthcare burden and warrant future investments related to care and treatment.