five

Mortality analysis of adult burn patients in Uruguay

收藏
DataCite Commons2021-03-25 更新2024-07-28 收录
下载链接:
https://scielo.figshare.com/articles/dataset/Mortality_analysis_of_adult_burn_patients_in_Uruguay/14304269
下载链接
链接失效反馈
官方服务:
资源简介:
ABSTRACT Objective: To determine the independent risk factors associated with mortality in adult burn patients. Methods: This was a retrospective, observational study performed at the Centro Nacional de Queimados do Uruguai. All patients with skin burns admitted to the unit since its opening on July 1, 1995 through December 31, 2018 were included. The demographic data, burn profiles, length of stay, mechanical ventilation duration and hospital mortality were studied. A multivariate logistic regression was used to identify the risk factors for mortality. The standardized mortality ratio was calculated by dividing the number of observed deaths by the number of expected deaths (according to the Abbreviated Burn Severity Index). Results: During the study period, 3,132 patients were included. The median total body surface area burned was 10% (3%-22%). The Abbreviated Burn Severity Index was 6 (4 - 7). Invasive mechanical ventilation was required in 60% of the patients for a median duration of 6 (3 - 16) days. The median length of stay in the unit was 17 (7 - 32) days. The global mortality was 19.9%. Crude mortality and standardized mortality ratio decreased from 1995 through 2018. The global standardized mortality ratio was 0.99. A need for mechanical ventilation (OR 8.80; 95%CI 5.68 - 13.62), older age (OR 1.07 per year; 95%CI 1.06 - 1.09), total body surface area burned (OR 1.05 per 1%; 95%CI 1.03 - 1.08) and extension of third-degree burns (OR 1.05 per 1%; 95%CI 1.03 - 1.07) were independent risk factors for mortality. Conclusion: The need for mechanical ventilation, older age and burn extension were independent risk factors for mortality in the burned adult Uruguayan population.
提供机构:
SciELO journals
创建时间:
2021-03-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作