败血症后从外科重症监护病房出院后 1 年死亡率的预测因素。
Predictors of 1-year mortality following discharge from the surgical intensive care unit after sepsis.
发表日期:2024 Oct 09
作者:
Anahita Jalilvand, Tracie Terrana, Whitney Kellett, Courtney Collins, Megan Ireland, Wendy Wahl, Jon Wisler
来源:
SURGERY
摘要:
脓毒症后综合征与显着的长期死亡率相关。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。我们回顾性审查了因脓毒症入住外科重症监护病房的患者(2011 年至 2022 年,序贯器官衰竭评估评分≥2)。将出院后 1 年内死亡的患者 (n = 171) 与幸存者 (n = 639) 进行比较。比较基线特征、脓毒症表现和住院数据。进行多重逻辑回归以确定出院后 1 年死亡率的预测因子。与幸存者相比,死亡者年龄更大,从其他机构转院的可能性较小(35% vs 46%,P = .003),死亡人数更多转移性癌症(9% vs 1%,P < .01),或 III 期慢性肾病(16% vs 7%,P < .01)。入院序贯器官衰竭评估评分、乳酸和升压药的使用具有可比性。 1 年死亡率队列表现出呼吸道感染(15% vs 9%)和腹部感染(66% vs 54%)增加(P < .01)、中位住院时间(29 vs 19,P <.005)、肾功能衰竭增加(14% vs 9%,P = .048),以及依赖性出院。调整后的死亡预测因素包括年龄(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)和依赖性出院。与最低四分位(<10 天)相比,前四分位的住院时间(>32 天)与出院后死亡率增加 3 倍相关。我们确定了败血症后出院后死亡率的独立预测因素,包括年龄、住院时间长短住院、家属出院和 III 期慢性肾病。这些数据可以识别高危患者,并对其进行更密切的随访。由爱思唯尔公司发布。
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.Published by Elsevier Inc.