Clark David E, Doolittle Peter C, Winchell Robert J, Betensky Rebecca A
Department of Surgery, Maine Medical Center, 887 Congress Street, Suite 210, Portland, 04102, ME, USA.
Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, 04101, ME, USA.
Inj Epidemiol. 2014 Dec;1(1):24. doi: 10.1186/s40621-014-0024-1. Epub 2014 Sep 17.
The effectiveness of emergency medical interventions can be best evaluated using time-to-event statistical methods with time-varying covariates (TVC), but this approach is complicated by uncertainty about the actual times of death. We therefore sought to evaluate the effect of hospital intervention on mortality after penetrating trauma using a method that allowed for interval censoring of the precise times of death.
Data on persons with penetrating trauma due to interpersonal assault were combined from the 2008 to 2010 National Trauma Data Bank (NTDB) and the 2004 to 2010 National Violent Death Reporting System (NVDRS). Cox and Weibull proportional hazards models for survival time (t ) were estimated, with TVC assumed to have constant effects for specified time intervals following hospital arrival. The Weibull model was repeated with t interval-censored to reflect uncertainty about the precise times of death, using an imputation method to accommodate interval censoring along with TVC.
All models showed that mortality was increased by older age, female sex, firearm mechanism, and injuries involving the head/neck or trunk. Uncensored models showed a paradoxical increase in mortality associated with the first hour in a hospital. The interval-censored model showed that mortality was markedly reduced after admission to a hospital, with a hazard ratio (HR) of 0.68 (95% CI 0.63, 0.73) during the first 30 min declining to a HR of 0.01 after 120 min. Admission to a verified level I trauma center (compared to other hospitals in the NTDB) was associated with a further reduction in mortality, with a HR of 0.93 (95% CI 0.82, 0.97).
Time-to-event models with TVC and interval censoring can be used to estimate the effect of hospital care on early mortality after penetrating trauma or other acute medical conditions and could potentially be used for interhospital comparisons.
使用带有随时间变化协变量(TVC)的事件发生时间统计方法能够最佳地评估紧急医疗干预措施的有效性,但这种方法因实际死亡时间的不确定性而变得复杂。因此,我们试图使用一种允许对精确死亡时间进行区间删失的方法来评估医院干预对穿透性创伤后死亡率的影响。
将2008年至2010年国家创伤数据库(NTDB)以及2004年至2010年国家暴力死亡报告系统(NVDRS)中人际攻击导致穿透性创伤患者的数据进行合并。估计生存时间(t)的Cox和Weibull比例风险模型,假定TVC在入院后的特定时间间隔内具有恒定效应。使用插补方法来处理区间删失以及TVC,对t进行区间删失后重复Weibull模型,以反映精确死亡时间的不确定性。
所有模型均显示,年龄较大、女性性别、火器致伤机制以及涉及头/颈或躯干的损伤会增加死亡率。未删失模型显示,与在医院的第一个小时相关的死亡率出现了矛盾的增加。区间删失模型显示,入院后死亡率显著降低,前30分钟的风险比(HR)为0.68(95%CI 0.63,0.73),120分钟后降至HR为0.01。入住经过认证的一级创伤中心(与NTDB中的其他医院相比)与死亡率的进一步降低相关,HR为0.93(95%CI 0.82,0.97)。
带有TVC和区间删失的事件发生时间模型可用于估计医院护理对穿透性创伤或其他急性医疗状况后早期死亡率的影响,并有可能用于医院间比较。