Department of Medicine, Emory University, Atlanta, GA, USA.
Emory Critical Care Center, Atlanta, GA, USA.
Intensive Care Med. 2022 Nov;48(11):1582-1592. doi: 10.1007/s00134-022-06890-z. Epub 2022 Sep 24.
Sepsis is a heterogeneous syndrome and identification of sub-phenotypes is essential. This study used trajectories of vital signs to develop and validate sub-phenotypes and investigated the interaction of sub-phenotypes with treatment using randomized controlled trial data.
All patients with suspected infection admitted to four academic hospitals in Emory Healthcare between 2014-2017 (training cohort) and 2018-2019 (validation cohort) were included. Group-based trajectory modeling was applied to vital signs from the first 8 h of hospitalization to develop and validate vitals trajectory sub-phenotypes. The associations between sub-phenotypes and outcomes were evaluated in patients with sepsis. The interaction between sub-phenotype and treatment with balanced crystalloids versus saline was tested in a secondary analysis of SMART (Isotonic Solutions and Major Adverse Renal Events Trial).
There were 12,473 patients with suspected infection in training and 8256 patients in validation cohorts, and 4 vitals trajectory sub-phenotypes were found. Group A (N = 3483, 28%) were hyperthermic, tachycardic, tachypneic, and hypotensive. Group B (N = 1578, 13%) were hyperthermic, tachycardic, tachypneic (not as pronounced as Group A) and hypertensive. Groups C (N = 4044, 32%) and D (N = 3368, 27%) had lower temperatures, heart rates, and respiratory rates, with Group C normotensive and Group D hypotensive. In the 6,919 patients with sepsis, Groups A and B were younger while Groups C and D were older. Group A had the lowest prevalence of congestive heart failure, hypertension, diabetes mellitus, and chronic kidney disease, while Group B had the highest prevalence. Groups A and D had the highest vasopressor use (p < 0.001 for all analyses above). In logistic regression, 30-day mortality was significantly higher in Groups A and D (p < 0.001 and p = 0.03, respectively). In the SMART trial, sub-phenotype significantly modified treatment effect (p = 0.03). Group D had significantly lower odds of mortality with balanced crystalloids compared to saline (odds ratio (OR) 0.39, 95% confidence interval (CI) 0.23-0.67, p < 0.001).
Sepsis sub-phenotypes based on vital sign trajectory were consistent across cohorts, had distinct outcomes, and different responses to treatment with balanced crystalloids versus saline.
脓毒症是一种异质综合征,确定亚表型至关重要。本研究使用生命体征轨迹来开发和验证亚表型,并使用随机对照试验数据研究亚表型与治疗之间的相互作用。
纳入 2014 年至 2017 年(训练队列)和 2018 年至 2019 年(验证队列)期间在埃默里医疗保健公司的四家学术医院就诊的所有疑似感染患者。应用基于群组的轨迹模型对入院 8 小时内的生命体征进行分析,以开发和验证生命体征轨迹亚表型。在脓毒症患者中评估亚表型与结局的关联。在 SMART(等渗溶液和主要不良肾脏事件试验)的二次分析中,测试亚表型与平衡晶体液与生理盐水治疗之间的相互作用。
在训练队列中有 12473 名疑似感染患者,在验证队列中有 8256 名疑似感染患者,发现了 4 种生命体征轨迹亚表型。A 组(N=3483,28%)表现为发热、心动过速、呼吸急促和低血压。B 组(N=1578,13%)表现为发热、心动过速、呼吸急促(不如 A 组明显)和高血压。C 组(N=4044,32%)和 D 组(N=3368,27%)体温、心率和呼吸频率较低,C 组血压正常,D 组血压较低。在 6919 名脓毒症患者中,A 组和 B 组年龄较小,C 组和 D 组年龄较大。A 组充血性心力衰竭、高血压、糖尿病和慢性肾脏病的患病率最低,而 B 组患病率最高。A 组和 D 组血管加压药使用率最高(p<0.001)。在逻辑回归中,A 组和 D 组 30 天死亡率显著升高(p<0.001 和 p=0.03)。在 SMART 试验中,亚表型显著改变了治疗效果(p=0.03)。与生理盐水相比,D 组平衡晶体液的死亡率显著降低(比值比(OR)0.39,95%置信区间(CI)0.23-0.67,p<0.001)。
基于生命体征轨迹的脓毒症亚表型在两个队列中一致,具有不同的结局,并且对平衡晶体液与生理盐水的治疗反应不同。