[重症监护病房脓毒症患者血清钾轨迹与30天死亡风险的关联:一项回顾性队列研究]。

Q3 Medicine
Shaoxu Deng, Rui Huang, Fei Xia, Tian Zhang, Longjiu Zhang, Jiangquan Fu
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引用次数: 0

摘要

目的:探讨脓毒症患者重症监护病房(ICU)入院后血清钾变化轨迹与30天死亡风险的关系。方法:对2020年1月至2024年1月在贵州医科大学附属医院综合ICU、内科重症监护病房(MICU)和急诊重症监护病房(EICU)住院的成年脓毒症患者进行回顾性队列研究。使用SAS软件,根据基于组的轨迹建模(GBTM)将在ICU住院至少5天且连续至少7天血钾测量的患者分为5个轨迹组。根据患者入ICU后血清钾水平的变化趋势,分为低水平组缓慢升高,正常范围中水平组缓慢升高,正常范围中水平组缓慢下降,高水平组缓慢下降,高水平组缓慢升高。收集患者入院时的性别、年龄、病史及白细胞计数(WBC)、血小板计数(PLT)、降钙素原(PCT)、活化部分凝血活酶时间(APTT)、凝血酶原时间(PT)、血钠、血清肌酐(SCr)。同时记录患者入ICU 24小时内最严重序贯器官衰竭评分(SOFA)、ICU住院时间、30天预后。比较两组患者临床资料的差异。采用Kaplan-Meier生存曲线绘制各血清钾轨迹的30天累积生存率,然后采用Log-Rank检验对各组进行比较。采用多变量Cox比例风险回归分析,评价血钾轨迹对30天死亡风险的独立影响。结果:最终纳入342例ICU脓毒症患者,其中从低水平缓慢升高组42例(12.28%),从正常范围中等水平缓慢升高组127例(37.14%),从正常范围中等水平缓慢降低组118例(34.50%),从高水平缓慢降低组28例(8.19%),从正常范围高水平缓慢升高组27例(7.89%)。不同血钾轨迹组患者除年龄、APTT差异外,其他临床特征差异无统计学意义。Kaplan-Meier生存曲线显示,不同血钾轨迹组患者的30天累积生存率差异有统计学意义(Log-Rank检验:χ2 = 14.696, P = 0.005),其中从高水平缓慢升高的正常范围组最低(39.3%)。多因素Cox比例风险回归分析显示,血钾轨迹从高水平正常范围缓慢升高的患者30天死亡风险最高[危险比(HR) = 2.341, 95%可信区间(95% ci)为1.049 ~ 5.226,P = 0.038]。在调整了性别、年龄、病史、SOFA评分、WBC、PLT、PCT、APTT、PT、血钠和SCr等变量后,这种相关性仍然存在(HR = 3.058, 95%CI为1.249-7.488,P = 0.014)。结论:与血钾波动在正常范围内的患者相比,血钾轨迹从高水平正常范围缓慢升高的ICU脓毒症患者30天死亡风险显著增高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Association of serum potassium trajectory with 30-day death risk in patients with sepsis in intensive care unit: a retrospective cohort study].

Objective: To investigate the relationship between the trajectories of serum potassium changes after intensive care unit (ICU) admission and 30-day death risk in patients with sepsis.

Methods: A retrospective cohort study was conducted, including adult patients with sepsis admitted to the comprehensive ICU, medical intensive care unit (MICU) and emergency intensive care unit (EICU) of Guizhou Medical University Affiliated Hospital from January 2020 to January 2024. The patients who had a minimum of 5 days' hospitalisation in the ICU and who had at least 7 consecutive days of the serum potassium measurements were classified into five trajectories groups according to group-based trajectory modelling (GBTM) using SAS software. This was based on tendency changes in serum potassium levels in patients after admission to the ICU, which was categorized as follows: slowly increased from a low level group, slowly increased from a medium level of normal range group, slowly decreased from a medium level of normal range group, slowly decreased from a high level group, and slowly increased from a high level of normal range group. The patient's gender, age, medical history, and white blood cell count (WBC), platelet count (PLT), procalcitonin (PCT), activated partial thromboplastin time (APTT), prothrombin time (PT), blood sodium, and serum creatinine (SCr) at the time of admission to the ICU were collected. At the same time, the patient's worst sequential organ failure assessment (SOFA) score within 24 hours of admission to the ICU, length of ICU stay, and 30-day outcome were record. The differences in clinical data among different groups of patients were compared. The 30-day cumulative survival rates of the various serum potassium trajectories were plotted using Kaplan-Meier survival curves, the groups were then compared using the Log-Rank test. A multivariate Cox proportional risk regression analysis was developed to evaluate the independent effect of serum potassium trajectory on 30-day death risk.

Results: Finally, 342 ICU sepsis patients were enrolled, of which 42 patients in the slowly increased from a low level group (12.28%), 127 patients in the slowly increased from a medium level of normal range group (37.14%), 118 patients in the slowly decreased from a medium level of normal range group (34.50%), 28 patients in the slowly decreased from a high level group (8.19%), and 27 patients in the slowly increased from a high level of normal range group (7.89%). Except for age and APTT differences, there were no statistically significant differences in other clinical characteristics among the patients in the different serum potassium trajectories groups. Kaplan-Meier survival curves showed that there was statistically significant difference in the 30-day cumulative survival rate among the patients in the different serum potassium trajectories groups (Log-Rank test: χ2 = 14.696, P = 0.005), with the lowest in the slowly increased from a high level of normal range group (39.3%). Multivariate Cox proportional risk regression analysis showed that the patients with the serum potassium trajectory of slowly increased from a high level of normal range had the highest 30-day death risk [hazard ratio (HR) = 2.341, 95% confidence interval (95%CI) was 1.049-5.226, P = 0.038]. This association persisted after adjustment for variables such as gender, age, medical history, SOFA score, WBC, PLT, PCT, APTT, PT, blood sodium, and SCr (HR = 3.058, 95%CI was 1.249-7.488, P = 0.014).

Conclusion: Compared with the patients whose serum potassium fluctuated within the normal range, the sepsis patients in the ICU with a serum potassium trajectory that slowly increased from a high level of normal range had a significantly higher 30-day death risk.

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Zhonghua wei zhong bing ji jiu yi xue
Zhonghua wei zhong bing ji jiu yi xue Medicine-Critical Care and Intensive Care Medicine
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