Department of Burns Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Emergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
BMJ Open. 2019 Feb 22;8(11):e020527. doi: 10.1136/bmjopen-2017-020527.
Due to the defects in skin barrier function and immune response, burn patients who survive the acute phase of a burn injury are at a high risk of nosocomial infection (NI). The aim of this study is to evaluate the impacts of NI on length of stay (LOS) and hospital mortality in burn patients using a multistate model.
A retrospective observational study was conducted in burn unit and intensive care unit in the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Data were obtained from 1143 records of patients admitted with burn between 1 January 2013 and 31 December 2016.
Risk factors for NIs were determined by binary logistic regression. The extended Cox model with time-varying covariates was used to determine the impact of NIs on hospital mortality, and cumulative incidence functions were calculated. Multiple linear regression analysis was applied to detect the variables associated with LOS. Using a multistate model, the extra LOS due to NI were determined.
15.8% of total burn patients suffered from NIs and incidence density of NIs was 9.6 per 1000 patient-days. NIs significantly increased the rate of death (HR 4.266, 95% CI 2.218 to 8.208, p=0.000). The cumulative probability of death for patients with NI was greater that for those without NI. The extra LOS due to NIs was 17.68 days (95% CI 11.31 to 24.05).
Using appropriate statistical methods, the present study further illustrated that NIs were associated with the increased cumulative incidence of burn death and increased LOS in burn patients.
由于皮肤屏障功能和免疫反应的缺陷,烧伤患者在烧伤急性期后极易发生医院感染(NI)。本研究旨在使用多状态模型评估 NI 对烧伤患者住院时间(LOS)和医院死亡率的影响。
这是一项在中国温州医科大学附属第一医院烧伤病房和重症监护病房进行的回顾性观察性研究。
数据来自 2013 年 1 月 1 日至 2016 年 12 月 31 日期间因烧伤住院的 1143 例患者的记录。
通过二元逻辑回归确定 NI 的危险因素。使用时变协变量的扩展 Cox 模型确定 NI 对医院死亡率的影响,并计算累积发生率函数。应用多元线性回归分析确定与 LOS 相关的变量。使用多状态模型确定因 NI 导致的 LOS 额外增加。
总烧伤患者中有 15.8%发生了 NI,NI 的发病率密度为每 1000 患者日 9.6 例。NI 显著增加了死亡率(HR 4.266,95%CI 2.218 至 8.208,p=0.000)。有 NI 的患者的死亡累积概率大于无 NI 的患者。NI 导致的 LOS 额外增加了 17.68 天(95%CI 11.31 至 24.05)。
使用适当的统计方法,本研究进一步表明,NI 与烧伤死亡累积发生率增加和烧伤患者 LOS 增加相关。