Mann Baldeep Kaur, Bhandohal Janpreet Singh, Kalha Ishaan, Fox Kasey, Jean Brian
Division of Hospital Medicine, Department of Medicine, Kern Medical Center, Bakersfield, CA, USA.
Division of Gastroenterology, Department of Medicine, Kern Medical Center, Bakersfield, CA, USA.
Clin Exp Gastroenterol. 2024 Feb 9;17:31-39. doi: 10.2147/CEG.S453345. eCollection 2024.
Procalcitonin levels have been studied to predict the benefit of adding antibiotics in a patient with acute pancreatitis. Through this study, we are searching for any possible correlation between serum procalcitonin levels and the severity of acute pancreatitis (included acute on chronic cases) to determine whether procalcitonin levels can predict a benefit from antibiotic therapy in acute pancreatitis.
This is a retrospective cohort study involving patients with acute pancreatitis and acute on chronic pancreatitis. We included all hospitalized patients admitted to Kern Medical from January 2020 to October 2022 with a diagnosis of acute pancreatitis in a consecutive manner. The primary outcome studied was mortality related to the pancreatitis episode. Logistic regression was used to control numerous confounders.
Based on univariate analysis of procalcitonin, we found starting antibiotics on the day of admission statistically significant. We also found the median differences in mortality to be mildly significant (difference = 0.79, p = 0.0640) based on procalcitonin values. In a multivariate analysis of ln(procalcitonin), we found lipase (p = 0.0249), duration of antibiotics (p = 0.0009), multi-organ failure (p = 0.0045) to be statistically significant, and lactate being mildly significant in the multivariate model (p = 0.0643).
The procalcitonin level can predict the initiation of antibiotics, duration of antibiotics, multi-organ failure, and mortality in patients with acute pancreatitis.
已对降钙素原水平进行研究,以预测在急性胰腺炎患者中加用抗生素的益处。通过本研究,我们探寻血清降钙素原水平与急性胰腺炎(包括慢性胰腺炎急性发作病例)严重程度之间的任何可能关联,以确定降钙素原水平是否可预测急性胰腺炎患者接受抗生素治疗的获益情况。
这是一项回顾性队列研究,纳入急性胰腺炎和慢性胰腺炎急性发作患者。我们连续纳入了2020年1月至2022年10月在克恩医疗中心住院且诊断为急性胰腺炎的所有患者。所研究的主要结局是与胰腺炎发作相关的死亡率。采用逻辑回归来控制众多混杂因素。
基于降钙素原的单因素分析,我们发现入院当天开始使用抗生素具有统计学意义。基于降钙素原值,我们还发现死亡率的中位数差异具有轻度统计学意义(差异 = 0.79,p = 0.0640)。在对ln(降钙素原)的多因素分析中,我们发现脂肪酶(p = 0.0249)、抗生素使用时长(p = 0.0009)、多器官功能衰竭(p = 0.0045)具有统计学意义,而乳酸在多因素模型中具有轻度统计学意义(p = 0.0643)。
降钙素原水平可预测急性胰腺炎患者抗生素的起始使用、抗生素使用时长、多器官功能衰竭及死亡率。