Jalilvand Anahita, Terrana Tracie, Kellett Whitney, Collins Courtney, Ireland Megan, Wahl Wendy, Wisler Jon
Division of Trauma, Critical Care, and Burn, Ohio State University, Columbus, OH.
Division of Trauma, Critical Care, and Burn, Ohio State University, Columbus, OH.
Surgery. 2025 Mar;179:108808. doi: 10.1016/j.surg.2024.08.037. Epub 2024 Oct 10.
Postsepsis syndrome is associated with significant long-term mortality. The objective of this study was to determine predictors of mortality within 1 year of discharge from the surgical intensive care unit.
We retrospectively reviewed patients admitted to a surgical intensive care unit with sepsis (sequential organ failure assessment score ≥2, 2011-2022). Those who died within 1 year from discharge (n = 171) were compared to survivors (n = 639). Baseline characteristics, sepsis presentation, and hospitalization data were compared. A multiple logistic regression was performed to determine predictors of 1-year mortality after discharge.
Compared with survivors, those who died were older, less likely to be transferred from another institution (35% vs 46%, P = .003), had more metastatic cancer (9% vs 1%, P < .01), or stage III + chronic kidney disease (16% vs 7%, P < .01). Admission sequential organ failure assessment score, lactate, and vasopressor use were comparable. The 1-year mortality cohort exhibited increased respiratory (15% vs 9%) and abdominal (66% vs 54%) infections (P < .01), median length of stay (29 vs 19, P < .005), renal failure (14% vs 9%, P = .048), and dependent discharge. Adjusted predictors of death included age (odds ratio [OR] 1.03, 95% confidence interval [CI] 1.02-1.05), metastatic cancer (OR 8.0, 95% CI 2.6-25), chronic kidney disease (OR 2.8, 95% CI 1.4-5.6), length of stay (OR 1.02, 95% CI 1.0-1.03), and dependent discharge. A length of stay in the top quartile (>32 days) was associated with a 3-fold increase in postdischarge mortality compared with the lowest quartile (<10 days).
We identified independent predictors of postdischarge mortality following sepsis, including age, length of stay, dependent discharge, and stage III + chronic kidney disease. These data can identify at-risk patients who can be targeted for closer follow-up.
脓毒症后综合征与显著的长期死亡率相关。本研究的目的是确定外科重症监护病房出院后1年内死亡率的预测因素。
我们回顾性分析了2011年至2022年入住外科重症监护病房且患有脓毒症(序贯器官衰竭评估评分≥2)的患者。将出院后1年内死亡的患者(n = 171)与幸存者(n = 639)进行比较。比较了基线特征、脓毒症表现和住院数据。进行多因素逻辑回归以确定出院后1年死亡率的预测因素。
与幸存者相比,死亡患者年龄更大,从其他机构转入的可能性更小(35%对46%,P = 0.003),有更多转移性癌症(9%对1%,P < 0.01)或III期+慢性肾病(16%对7%,P < 0.01)。入院时序贯器官衰竭评估评分、乳酸水平和血管升压药使用情况相当。1年死亡率队列的呼吸道感染(15%对9%)和腹部感染(66%对54%)增加(P < 0.01),中位住院时间(29天对19天,P < 0.005)、肾衰竭(14%对9%,P = 0.048)以及出院时依赖他人情况增加。死亡的校正预测因素包括年龄(比值比[OR] 1.03,95%置信区间[CI] 1.02 - 1.05)、转移性癌症(OR 8.0,95% CI 2.6 - 25)、慢性肾病(OR 2.8,95% CI 1.4 - 5.6)、住院时间(OR 1.02,95% CI 1.0 - 1.03)和出院时依赖他人情况。住院时间处于最高四分位数(>32天)与出院后死亡率相比最低四分位数(<10天)增加3倍相关。
我们确定了脓毒症后出院后死亡率的独立预测因素,包括年龄、住院时间、出院时依赖他人情况和III期+慢性肾病。这些数据可识别出有风险的患者,以便对其进行更密切的随访。