Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, East Qingchun Road, Hangzhou, 310016, Zhejiang Province, China.
Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Crit Care. 2018 Dec 18;22(1):347. doi: 10.1186/s13054-018-2279-3.
Sepsis is a heterogeneous disease and identification of its subclasses may facilitate and optimize clinical management. This study aimed to identify subclasses of sepsis and its responses to different amounts of fluid resuscitation.
This was a retrospective study conducted in an intensive care unit at a large tertiary care hospital. The patients fulfilling the diagnostic criteria of sepsis from June 1, 2001 to October 31, 2012 were included. Clinical and laboratory variables were used to perform the latent profile analysis (LPA). A multivariable logistic regression model was used to explore the independent association of fluid input and mortality outcome.
In total, 14,993 patients were included in the study. The LPA identified four subclasses of sepsis: profile 1 was characterized by the lowest mortality rate and having the largest proportion and was considered the baseline type; profile 2 was characterized by respiratory dysfunction; profile 3 was characterized by multiple organ dysfunction (kidney, coagulation, liver, and shock), and profile 4 was characterized by neurological dysfunction. Profile 3 showed the highest mortality rate (45.4%), followed by profile 4 (27.4%), 2 (18.2%), and 1 (16.9%). Overall, the amount of fluid needed for resuscitation was the largest on day 1 (median 5115 mL, interquartile range (IQR) 2662 to 8800 mL) and decreased rapidly on day 2 (median 2140 mL, IQR 900 to 3872 mL). Higher cumulative fluid input in the first 48 h was associated with reduced risk of hospital mortality for profile 3 (odds ratio (OR) 0.89, 95% CI 0.83 to 0.95 for each 1000 mL increase in fluid input) and with increased risk of death for profile 4 (OR 1.20, 95% CI 1.11 to 1.30).
The study identified four subphenotypes of sepsis, which showed different mortality outcomes and responses to fluid resuscitation. Prospective trials are needed to validate our findings.
脓毒症是一种异质性疾病,确定其亚类可能有助于优化临床管理。本研究旨在确定脓毒症亚类及其对不同液体复苏量的反应。
这是一项在一家大型三级医院的重症监护病房进行的回顾性研究。纳入 2001 年 6 月 1 日至 2012 年 10 月 31 日符合脓毒症诊断标准的患者。使用临床和实验室变量进行潜在剖面分析(LPA)。采用多变量逻辑回归模型探讨液体输入与死亡率结局的独立相关性。
共纳入 14993 例患者。LPA 确定了脓毒症的四个亚类:第 1 类特征为死亡率最低,比例最大,被认为是基线类型;第 2 类特征为呼吸功能障碍;第 3 类特征为多器官功能障碍(肾、凝血、肝和休克),第 4 类特征为神经功能障碍。第 3 类死亡率最高(45.4%),其次是第 4 类(27.4%)、第 2 类(18.2%)和第 1 类(16.9%)。总体而言,复苏所需的液体量在第 1 天最大(中位数 5115ml,四分位距 2662 至 8800ml),第 2 天迅速减少(中位数 2140ml,四分位距 900 至 3872ml)。前 48 小时内累积液体输入量增加与第 3 类患者的住院死亡率降低相关(每增加 1000ml 液体输入,比值比(OR)为 0.89,95%可信区间(CI)为 0.83 至 0.95),而与第 4 类患者的死亡风险增加相关(OR 为 1.20,95%CI 为 1.11 至 1.30)。
本研究确定了脓毒症的四个亚表型,它们表现出不同的死亡率结局和对液体复苏的反应。需要前瞻性试验来验证我们的发现。