Krause James S, Carter Rickey E, Pickelsimer E Elisabeth, Wilson Dulaney
College of Health Professions, Medical University of South Carolina, Charleston, SC 29425, USA.
Arch Phys Med Rehabil. 2008 Aug;89(8):1482-91. doi: 10.1016/j.apmr.2007.11.062.
To test hypothesized relationships between multiple health parameters and mortality among persons with spinal cord injury (SCI) while controlling for variations in biographical and injury characteristics.
Prospective cohort study with health data collected in late 1997 and early 1998 and mortality status ascertained in December 2005.
A large rehabilitation hospital in the Southeastern United States.
A total of 1389 adults with traumatic SCI, at least 1 year postinjury.
Not applicable.
The primary outcome was time from survey to mortality (or time of censoring). Mortality status was determined using the National Death Index and the Social Security Death Index. There were 225 deaths (16.2%) by December 31, 2005.
Cox proportional hazards modeling identified several significant health predictors of mortality status, while controlling for biographic and injury factors. Two sets of analyses were conducted--the first identifying the significance of a single variable of interest and the second analysis building a comprehensive model based on an optimal group of variables. Multiple types of health conditions were associated with mortality. The best set of health predictors included probable major depression, surgeries to repair pressure ulcers, fractures and/or amputations, symptoms of infections, and days hospitalized. Inclusion of these variables, along with a general health rating, improved prediction of survival compared with biographic and injury variables alone, because the pseudo R(2) increased from .12 to .18 and the concordance from .730 to .776.
In addition to secondary conditions that have been the traditional focus of prevention efforts (eg, pressure ulcers, urinary tract infections), amputations, fractures, and depressive symptoms were associated with higher risk for mortality; however, further research is needed to identify the association of specific conditions with causes of death and to determine whether interventions can modify these conditions and ultimately improve survival.
在控制个人经历和损伤特征差异的同时,检验脊髓损伤(SCI)患者多种健康参数与死亡率之间的假设关系。
前瞻性队列研究,于1997年末和1998年初收集健康数据,并于2005年12月确定死亡状态。
美国东南部的一家大型康复医院。
共有1389名创伤性SCI成年患者,受伤至少1年。
不适用。
主要结局是从调查到死亡的时间(或截尾时间)。使用国家死亡指数和社会保障死亡指数确定死亡状态。截至2005年12月31日,有225人死亡(16.2%)。
Cox比例风险模型确定了几个死亡率状态的重要健康预测因素,同时控制了个人经历和损伤因素。进行了两组分析——第一组确定单个感兴趣变量的显著性,第二组分析基于一组最佳变量构建综合模型。多种健康状况与死亡率相关。最佳的健康预测因素包括可能的重度抑郁症、修复压疮的手术、骨折和/或截肢、感染症状以及住院天数。与仅使用个人经历和损伤变量相比,纳入这些变量以及总体健康评分可改善生存预测,因为伪R²从0.12增加到0.18,一致性从0.730提高到0.776。
除了一直是预防工作传统重点的继发性疾病(如压疮、尿路感染)外,截肢、骨折和抑郁症状与较高的死亡风险相关;然而,需要进一步研究以确定特定疾病与死亡原因之间的关联,并确定干预措施是否可以改善这些疾病并最终提高生存率。