Zengin Oğuzhan, Göre Burak, Öztürk Oğuz, Cengiz Arap Merve, Güler Kadıoğlu Senanur, Asfuroğlu Kalkan Emra, Ateş İhsan
Department of Internal Medicine, Ankara Bilkent City Hospital, Ankara 06800, Turkey.
Department of Internal Medicine, Çerkeş State Hospital, Çankırı 18600, Turkey.
J Clin Med. 2025 May 14;14(10):3419. doi: 10.3390/jcm14103419.
Acute pancreatitis (AP) remains a pressing clinical challenge, largely due to its potential to lead to life-threatening complications and increased mortality. Over the years, numerous tools have been proposed to evaluate the intensity of AP and estimate likely health outcomes. Despite their usefulness, many of these assessment models are complex and rely on a wide array of clinical inputs, making them less practical in everyday healthcare settings. In contrast, the Aggregate Systemic Inflammation Index (AISI), which is calculated using routine blood count parameters, provides a simpler and more inclusive approach to measuring systemic inflammation. This research focuses on examining how effectively AISI can be used to gauge disease severity and project clinical trajectories in individuals affected by pancreatitis. This retrospective study reviewed the medical records of 412 individuals diagnosed with acute pancreatitis, all of whom received care at the Internal Medicine Clinic of Ankara Bilkent City Hospital between 1 April 2019 and 1 September 2024. The investigation encompassed a thorough analysis of patients' demographic characteristics, lab parameters, and clinical findings, with special attention given to inflammatory markers, including the Aggregate Systemic Inflammation Index (AISI), its revised version, the Platelet-to-Lymphocyte Ratio (PLR), the Neutrophil-to-Lymphocyte Ratio (NLR), and the Systemic Inflammatory Response Index (SIRI). Comparative analyses between groups were performed using independent sample -tests and one-way ANOVA, complemented by Tukey's post hoc tests where appropriate. Correlations among continuous variables were determined through Pearson's analysis, and the prognostic accuracy of both AISI and its modified form was assessed using Receiver Operating Characteristic (ROC) curve methodology. The mean age among participants was 63.47 ± 17.92 years, while the average AISI value was calculated as 1183.89 ± 1067.42. Both the original and modified versions of the AISI index showed strong positive correlations with several key clinical measures, including prolonged hospitalization, a Glasgow score of 2 or above, BISAP, Ranson scoring, the revised Atlanta classification, and APACHE II. AISI was also significantly linked to the presence of complications and overall mortality ( < 0.01). Analysis through ROC curves demonstrated that an AISI level above 236.626 effectively predicted hospital stays exceeding 10 days, with a sensitivity of 94.40% and a specificity of 91.00%. Moreover, both AISI and its modified form reliably distinguished patients who had a Ranson score of zero, with high diagnostic accuracy. AISI and its modified version demonstrate a strong association with both the intensity and clinical course of acute pancreatitis. Thanks to their simplicity, low cost, and broad usability in healthcare settings, these indices hold considerable promise as practical and dependable tools for assessing the severity and likely outcomes of this increasingly prevalent disease.
急性胰腺炎(AP)仍然是一个紧迫的临床挑战,这主要是因为它有可能导致危及生命的并发症并增加死亡率。多年来,人们提出了许多工具来评估AP的严重程度并估计可能的健康结果。尽管它们很有用,但其中许多评估模型都很复杂,并且依赖于大量的临床输入信息,这使得它们在日常医疗环境中不太实用。相比之下,使用常规血细胞计数参数计算得出的综合全身炎症指数(AISI),提供了一种更简单、更全面的方法来测量全身炎症。本研究重点探讨AISI在评估胰腺炎患者疾病严重程度和预测临床病程方面的有效性。这项回顾性研究回顾了412例被诊断为急性胰腺炎患者的病历,这些患者于2019年4月1日至2024年9月1日期间在安卡拉比尔肯特市医院内科诊所接受治疗。该调查全面分析了患者的人口统计学特征、实验室参数和临床发现,特别关注炎症标志物,包括综合全身炎症指数(AISI)及其修订版、血小板与淋巴细胞比值(PLR)、中性粒细胞与淋巴细胞比值(NLR)以及全身炎症反应指数(SIRI)。使用独立样本t检验和单因素方差分析进行组间比较分析,并在适当情况下辅以Tukey事后检验。通过Pearson分析确定连续变量之间的相关性,并使用受试者工作特征(ROC)曲线方法评估AISI及其改良形式的预后准确性。参与者的平均年龄为63.47±17.92岁,而平均AISI值计算为1183.89±1067.42。AISI指数的原始版本和改良版本均与几个关键临床指标呈强正相关,包括住院时间延长、格拉斯哥评分2分及以上、BISAP、兰森评分、修订的亚特兰大分类和急性生理与慢性健康状况评分系统II(APACHE II)。AISI也与并发症的存在和总体死亡率显著相关(P<0.01)。通过ROC曲线分析表明,AISI水平高于236.626可有效预测住院时间超过10天,敏感性为94.40%,特异性为91.00%。此外,AISI及其改良形式能够可靠地区分兰森评分为零的患者,诊断准确性高。AISI及其改良版本与急性胰腺炎的严重程度和临床病程均密切相关。由于它们的简单性、低成本以及在医疗环境中的广泛可用性,这些指数作为评估这种日益普遍疾病的严重程度和可能结果的实用且可靠工具,具有很大的前景。