Department of Pediatric Intensive Care Unit, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 318 Renmin Middle Road, Yuexiu District, Guangzhou, 510120, China.
Department of Intensive Care Medicine, Liuzhou Affiliated Guangzhou Women and Children's Medical Center, No. 50 Boyuan Avenue, Liudong New District, Yufeng District, Liuzhou, 545005, China.
BMC Infect Dis. 2024 Sep 2;24(1):902. doi: 10.1186/s12879-024-09789-w.
Sepsis-associated encephalopathy (SAE) patients often experience changes in intracranial pressure and impaired cerebral autoregulation. Mean arterial pressure (MAP) plays a crucial role in cerebral perfusion pressure, but its relationship with mortality in SAE patients remains unclear. This study aims to investigate the relationship between MAP and the risk of 28-day and in-hospital mortality in SAE patients, providing clinicians with the optimal MAP target.
We retrospectively collected clinical data of patients diagnosed with SAE on the first day of ICU admission from the MIMIC-IV (v2.2) database. Patients were divided into four groups based on MAP quartiles. Kruskal-Wallis H test and Chi-square test were used to compare clinical characteristics among the groups. Restricted cubic spline and segmented Cox regression models, both unadjusted and adjusted for multiple variables, were employed to elucidate the relationship between MAP and the risk of 28-day and in-hospital mortality in SAE patients and to identify the optimal MAP. Subgroup analyses were conducted to assess the stability of the results.
A total of 3,816 SAE patients were included. The Q1 group had higher rates of acute kidney injury and vasoactive drug use on the first day of ICU admission compared to other groups (P < 0.01). The Q1 and Q4 groups had longer ICU and hospital stays (P < 0.01). The 28-day and in-hospital mortality rates were highest in the Q1 group and lowest in the Q3 group. Multivariable adjustment restricted cubic spline curves indicated a nonlinear relationship between MAP and mortality risk (P for nonlinearity < 0.05). The MAP ranges associated with HRs below 1 for 28-day and in-hospital mortality were 74.6-90.2 mmHg and 74.6-89.3 mmHg, respectively.The inflection point for mortality risk, determined by the minimum hazard ratio (HR), was identified at a MAP of 81.5 mmHg. The multivariable adjusted segmented Cox regression models showed that for MAP < 81.5 mmHg, an increase in MAP was associated with a decreased risk of 28-day and in-hospital mortality (P < 0.05). In Model 4, each 5 mmHg increase in MAP was associated with a 15% decrease in 28-day mortality risk (HR: 0.85, 95% CI: 0.79-0.91, p < 0.05) and a 14% decrease in in-hospital mortality risk (HR: 0.86, 95% CI: 0.80-0.93, p < 0.05). However, for MAP ≥ 81.5 mmHg, there was no significant association between MAP and mortality risk (P > 0.05). Subgroup analyses based on age, congestive heart failure, use of vasoactive drugs, and acute kidney injury showed consistent results across different subgroups.Subsequent analysis of SAE patients with septic shock also showed results similar to those of the original cohort.However, for comatose SAE patients (GCS ≤ 8), there was a negative correlation between MAP and the risk of 28-day and in-hospital mortality when MAP was < 81.5 mmHg, but a positive correlation when MAP was ≥ 81.5 mmHg in adjusted models 2 and 4.
There is a nonlinear relationship between MAP and the risk of 28-day and in-hospital mortality in SAE patients. The optimal MAP target for SAE patients in clinical practice appears to be 81.5 mmHg.
脓毒症相关性脑病(SAE)患者常经历颅内压变化和脑自动调节受损。平均动脉压(MAP)在脑灌注压中起着至关重要的作用,但 MAP 与 SAE 患者死亡率之间的关系尚不清楚。本研究旨在探讨 MAP 与 SAE 患者 28 天和住院死亡率风险之间的关系,为临床医生提供最佳的 MAP 目标。
我们从 MIMIC-IV(v2.2)数据库中回顾性地收集了在 ICU 入院第一天被诊断为 SAE 的患者的临床数据。根据 MAP 四分位数将患者分为四组。Kruskal-Wallis H 检验和卡方检验用于比较组间的临床特征。未调整和多变量调整的限制性立方样条和分段 Cox 回归模型被用来阐明 MAP 与 SAE 患者 28 天和住院死亡率风险之间的关系,并确定最佳的 MAP。进行亚组分析以评估结果的稳定性。
共纳入 3816 名 SAE 患者。与其他组相比,Q1 组在 ICU 入院第一天有更高的急性肾损伤和血管活性药物使用率(P < 0.01)。Q1 和 Q4 组的 ICU 和住院时间更长(P < 0.01)。Q1 组的 28 天和住院死亡率最高,Q3 组最低。多变量调整的限制性立方样条曲线表明 MAP 与死亡率风险之间存在非线性关系(P 非线性 < 0.05)。与 HR < 1 相关的 MAP 范围分别为 74.6-90.2 mmHg 和 74.6-89.3 mmHg,用于 28 天和住院死亡率。死亡率风险的拐点,由最小危险比(HR)确定,在 MAP 为 81.5 mmHg 时出现。多变量调整的分段 Cox 回归模型显示,对于 MAP < 81.5 mmHg,MAP 的增加与 28 天和住院死亡率风险的降低相关(P < 0.05)。在模型 4 中,MAP 每增加 5 mmHg,28 天死亡率风险降低 15%(HR:0.85,95%CI:0.79-0.91,p < 0.05),住院死亡率风险降低 14%(HR:0.86,95%CI:0.80-0.93,p < 0.05)。然而,对于 MAP ≥ 81.5 mmHg,MAP 与死亡率风险之间没有显著关联(P > 0.05)。基于年龄、充血性心力衰竭、血管活性药物使用和急性肾损伤的亚组分析显示,在不同的亚组中结果一致。对伴有脓毒性休克的 SAE 患者的进一步分析也显示出与原始队列相似的结果。然而,对于昏迷的 SAE 患者(GCS ≤ 8),在调整模型 2 和 4 中,当 MAP < 81.5 mmHg 时,MAP 与 28 天和住院死亡率风险之间呈负相关,但当 MAP ≥ 81.5 mmHg 时呈正相关。
MAP 与 SAE 患者 28 天和住院死亡率风险之间存在非线性关系。SAE 患者的最佳 MAP 目标似乎为 81.5 mmHg。