The Ohio State University, Columbus, Ohio; The Division of Trauma, Critical Care, and Burn Surgery, Wexner Medical Center, Columbus, Ohio.
The Ohio State University, Columbus, Ohio; The Division of Trauma, Critical Care, and Burn Surgery, Wexner Medical Center, Columbus, Ohio.
J Surg Res. 2023 Mar;283:1117-1123. doi: 10.1016/j.jss.2022.10.096. Epub 2022 Dec 15.
The impact of infectious source on sepsis outcomes for surgical patients is unclear. The objective of this study was to evaluate the association between sepsis sources and cumulative 90-d mortality in patients admitted to the surgical intensive care unit (SICU) with sepsis.
All patients admitted to the SICU at an academic institution who met sepsis criteria (2014-2019, n = 1296) were retrospectively reviewed. Classification of source was accomplished through a chart review and included respiratory (RT, n = 144), intra-abdominal (IA, n = 859), skin and soft tissue (SST, n = 215), and urologic (UR, n = 78). Demographics, comorbidities, and clinical presentation were compared. Outcomes included 90-d mortality, respiratory and renal failure, length of stay, and discharge disposition. Cox-proportional regression was used to model predictors of mortality; P < 0.05 was significant.
Patients with SST were younger, more likely to be diabetic and obese, but had the lowest total comorbidities. Median admission sequential organ failure assessment scores were highest for IA and STT and lowest in urologic infections. Cumulative 90-d mortality was highest for IA and RT (35% and 33%, respectively) and lowest for SST (20%) and UR (8%) (P < 0.005). Compared to the other categories, UR infections had the lowest SICU length of stay and the highest discharge-to-home (57%, P < 0.0005). Urologic infections remained an independent negative predictor of 90-d mortality (odds ratio 0.14, 95% confidence interval: 0.1-0.4), after controlling for sequential organ failure assessment.
Urologic infections remained an independent negative predictor of 90-d mortality when compared to other sources of sepsis. Characterization of sepsis source revealed distinct populations and clinical courses, highlighting the importance of understanding different sepsis phenotypes.
传染病源对手术患者脓毒症结局的影响尚不清楚。本研究旨在评估外科重症监护病房(SICU)中脓毒症患者的脓毒症源与 90 天累积死亡率之间的关系。
回顾性分析了一家学术机构 SICU 收治的符合脓毒症标准的所有患者(2014-2019 年,n=1296)。通过病历回顾进行源分类,包括呼吸道(RT,n=144)、腹腔内(IA,n=859)、皮肤软组织(SST,n=215)和泌尿科(UR,n=78)。比较了人口统计学、合并症和临床表现。结果包括 90 天死亡率、呼吸和肾功能衰竭、住院时间和出院去向。使用 Cox 比例风险回归模型来模拟死亡率的预测因素;P<0.05 为差异有统计学意义。
SST 患者年龄较小,更可能患有糖尿病和肥胖症,但总合并症最少。IA 和 SST 患者的入院序贯器官衰竭评估评分中位数最高,UR 感染患者的评分最低。IA 和 RT 的 90 天累积死亡率最高(分别为 35%和 33%),UR 和 SST 的死亡率最低(分别为 8%和 20%)(P<0.005)。与其他类别相比,UR 感染的 SICU 住院时间最短,出院回家比例最高(57%,P<0.0005)。在控制序贯器官衰竭评估后,UR 感染仍然是 90 天死亡率的独立负预测因素(比值比 0.14,95%置信区间:0.1-0.4)。
与其他脓毒症源相比,UR 感染仍然是 90 天死亡率的独立负预测因素。对脓毒症源的特征分析揭示了不同的人群和临床过程,突出了理解不同脓毒症表型的重要性。