Clinical and Demographic Predictors of Survival in Elderly Burn Patients Aged 65 and Older: A Retrospective Analysis in an Appalachian Cohort

65岁及以上老年烧伤患者生存的临床和人口统计学预测因素:一项阿巴拉契亚队列的回顾性分析

阅读:1

Abstract

Background Elderly burn patients, particularly those aged 65 and older, represent a vulnerable population with unique clinical challenges. This study aims to evaluate clinical and demographic factors associated with survival outcomes in elderly burn patients within an Appalachian cohort. Methods A retrospective analysis was conducted on 198 patients aged ≥65 years admitted to a tertiary care center in Appalachia. Patient demographics, comorbidities, burn characteristics, and outcomes were analyzed. Bivariate analyses, including chi-square tests, t-tests, and Mann-Whitney U tests, were used to identify factors associated with discharge status (alive vs. deceased). Results The mean age of the cohort was 72.6 ± 6.1 years, with 65.2% male participants. The overall survival rate was 85.9%. Key findings included a statistically significant association between age and survival (p = 0.031), with older patients more likely to experience mortality. Inhalation injuries were strongly associated with increased mortality (p < 0.001). Patients who died had a higher median total burn surface area (TBSA) of 30.0% (interquartile range (IQR): 10.0-50.0) compared to 5.0% (IQR: 1.0-10.0) in survivors (p < 0.001). Other variables, including comorbidities, BMI, and burn source, did not demonstrate statistically significant associations with mortality. Conclusions Age, inhalation injury, and TBS were significant predictors of mortality in elderly burn patients. These findings underscore the importance of targeted interventions and resource allocation for high-risk patients, particularly in underserved regions like Appalachia. Further research is needed to improve outcomes in this vulnerable population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。