1 Department of Internal Medicine and.
2 Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan.
Ann Am Thorac Soc. 2019 Jan;16(1):116-123. doi: 10.1513/AnnalsATS.201806-391OC.
Sepsis is a leading cause of death and disability whose heterogeneity is often cited as a key impediment to translational progress.
To test the hypothesis that there are consequential and significant differences in sepsis outcomes that result from differences in a patient's clinical course leading up to sepsis hospitalization.
We conducted an observational cohort study of U.S. Health and Retirement Study (HRS) participants in Medicare (1998-2012) and U.S. Department of Veterans Affairs beneficiaries (2009). Using latent profile analysis, we identified patient subtypes based on trajectory of presepsis healthcare facility use. Subtypes were identified in the derivation cohort (1,512 sepsis hospitalizations among earlier HRS participants), then validated them in two additional cohorts (1,992 sepsis hospitalizations among later HRS participants; 32,525 sepsis hospitalizations among U.S. Department of Veterans Affairs beneficiaries). We measured the association between presepsis path and 90-day mortality using chi-square tests and multivariable logistic regression.
We identified three subtypes: low use of inpatient healthcare facilities, comprising 84% of the derivation cohort; rising use, 12%; and high use, 4%. The shape and distribution of presepsis trajectories were similar in all three cohorts. In the derivation cohort, 90-day mortality differed by presepsis trajectory as follows: 38% (low use), 63% (rising use), and 48% (high use) (P < 0.001). This association persisted in the validation cohorts (P < 0.001 for each). The rising use class remained an independent predictor of mortality after adjustment for potential confounders, including detailed physiologic data.
In national cohorts of patients with sepsis, we have shown that several distinct paths into sepsis exist. These paths, identified by trajectories of presepsis healthcare use, are predictive of 90-day mortality.
脓毒症是导致死亡和残疾的主要原因,其异质性常被认为是转化研究的主要障碍。
检验假设,即脓毒症患者的临床病程差异导致脓毒症住院治疗结果存在重要且显著的差异。
我们对美国健康与退休研究(HRS)中的 Medicare 参与者(1998-2012 年)和美国退伍军人事务部(VA)受益人的队列进行了观察性队列研究。使用潜在剖面分析,我们根据入院前医疗保健机构使用的轨迹确定患者亚组。在推导队列(1512 例 HRS 早期参与者的脓毒症住院患者)中识别出亚组,然后在另外两个队列(1992 例 HRS 晚期参与者的脓毒症住院患者;32525 例美国退伍军人事务部受益人的脓毒症住院患者)中验证。我们使用卡方检验和多变量逻辑回归来衡量入院前途径与 90 天死亡率之间的关联。
我们确定了三种亚组:低使用住院医疗设施,占推导队列的 84%;上升使用,占 12%;高使用,占 4%。所有三个队列中入院前轨迹的形状和分布都相似。在推导队列中,90 天死亡率因入院前轨迹而异,如下所示:38%(低使用)、63%(上升使用)和 48%(高使用)(P<0.001)。这种关联在验证队列中仍然存在(每个队列 P<0.001)。在调整潜在混杂因素(包括详细的生理数据)后,上升使用类别仍然是死亡率的独立预测因素。
在脓毒症患者的全国队列中,我们已经证明存在几种不同的脓毒症途径。这些途径通过入院前医疗保健使用的轨迹确定,可以预测 90 天死亡率。