Lin Lianjie, Liang Zhihai
Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Shuang Yong Street, Nanning, Guangxi, 530021, People's Republic of China.
Dig Dis Sci. 2025 Mar 31. doi: 10.1007/s10620-025-09012-z.
Identifying high-risk acute pancreatitis (AP) patients in the ICU is vital for improving prognosis. Thus, this study aims to explore the relationship between the coefficient of variation (CV) of blood glucose and the all-cause mortality of patients with AP in the ICU.
A retrospective analysis was conducted on AP patients in the MIMIC-IV database. The CV was used to describe the glycemic variability (GV) and the optimal cut-off value was determined using the ROC curve. Subsequently, analyze the correlation between CV and all-cause mortality.
A total of 907 patients with AP in the ICU were included in this study. The ROC curve determined the optimal CV cut-off value as 0.25. The KM survival curves and univariate and multivariate logistics regression analyses all showed that CV was associated with the 30-day, 60-day, and 90-day all-cause mortality (P < 0.05). The RCS curves showed a nonlinear correlation (P < 0.05). When CV is less than 0.421, 0.449, and 0.428, respectively, the risk of death at 30-day, 60-day, and 90-day increases as the CV value rises. Subgroup analysis showed an interaction between congestive heart failure and CV in 30-day and 60-day all-cause mortality, between age and CV in 60-day and 90-day all-cause mortality, and between chronic pulmonary disease and CV in 30-day all-cause mortality (P all < 0.05).
The CV is associated with the all-cause mortality of AP patients in the ICU, especially when the CV value is between 0.25 and 0.45. When using CV, the effects of age, congestive heart failure, and chronic pulmonary disease should be considered.
识别重症监护病房(ICU)中急性胰腺炎(AP)的高危患者对改善预后至关重要。因此,本研究旨在探讨血糖变异系数(CV)与ICU中AP患者全因死亡率之间的关系。
对MIMIC-IV数据库中的AP患者进行回顾性分析。采用CV描述血糖变异性(GV),并通过ROC曲线确定最佳截断值。随后,分析CV与全因死亡率之间的相关性。
本研究共纳入907例ICU中的AP患者。ROC曲线确定最佳CV截断值为0.25。KM生存曲线以及单因素和多因素逻辑回归分析均表明,CV与30天、60天和90天的全因死亡率相关(P<0.05)。RCS曲线显示存在非线性相关性(P<0.05)。当CV分别小于0.421、0.449和0.428时,30天、60天和90天的死亡风险随着CV值的升高而增加。亚组分析显示,充血性心力衰竭与CV在30天和60天全因死亡率方面存在交互作用,年龄与CV在60天和90天全因死亡率方面存在交互作用,慢性肺病与CV在30天全因死亡率方面存在交互作用(P均<0.05)。
CV与ICU中AP患者的全因死亡率相关,尤其是当CV值在0.25至0.45之间时。使用CV时,应考虑年龄、充血性心力衰竭和慢性肺病的影响。