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预测急性胰腺炎的严重程度——评估中性粒细胞与淋巴细胞计数比值作为新兴生物标志物:一项回顾性分析研究

Predicting Severity of Acute Pancreatitis-Evaluation of Neutrophil-to-Lymphocyte Count Ratio as Emerging Biomarker: A Retrospective Analytical Study.

作者信息

Vincent Akhil, C A Shashirekha

机构信息

General Surgery, Sri Devaraj Urs Medical College, Kolar, IND.

出版信息

Cureus. 2024 Nov 30;16(11):e74881. doi: 10.7759/cureus.74881. eCollection 2024 Nov.

Abstract

Introduction Acute pancreatitis (AP) is a pancreatic inflammatory disease that can range in severity from mild, self-limiting forms to severe cases with high mortality rates. AP has various etiologies, including lifestyle factors like alcohol consumption and obesity, and its rapid progression makes early and accurate prediction of severity critical for effective management and improved patient outcomes. The traditional AP severity assessment tools, such as Ranson's criteria and APACHE II, require extensive data and time, making them less feasible in emergency settings. In response, simpler biomarkers that can quickly predict AP severity upon patient presentation are needed to enable early risk stratification and targeted interventions. The study aims to address this research gap by evaluating the neutrophil-to-lymphocyte ratio (NLR) as a potential biomarker for predicting AP severity, as well as assessing its correlation with the CT Severity Index, a widely used measure of AP severity. Methods The study used a retrospective analytical design, conducted at the R L Jalappa Hospital & Research Centre in Karnataka, India. The researchers included 118 patients diagnosed with acute pancreatitis (AP) according to the Revised Atlanta Classification. The dataset collected from the participants' medical records included variables such as age, gender, history of alcohol and tobacco use, duration of abdominal pain, ICU stay, CT Severity Index scores, and the neutrophil-to-lymphocyte ratio (NLR). Statistical analysis was performed using SPSS software version 21.0 (IBM Corp., Armonk, NY, USA). A p-value of less than 0.05 was considered statistically significant. This comprehensive methodological approach aimed to provide precise insights into the role of NLR in predicting AP severity while accounting for variability in patient data. Results The study included 118 patients, with 85 classified as having mild to moderate pancreatitis and 33 with severe pancreatitis. There were no significant differences between the two groups in terms of demographic factors such as gender, BMI, alcohol use, smoking, and comorbidities. The study also examined the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the CT Severity Index, a measure of pancreatitis severity. The results showed a strong positive correlation between NLR and the CT Severity Index (r = 0.860, p < 0.001). This indicates that higher NLR values are associated with more severe pancreatitis, as measured by the CT Severity Index. These relationships suggest that NLR reflects the inflammatory response in acute pancreatitis, with higher levels of inflammatory markers associated with elevated NLR values. Conclusion This study aimed to evaluate the neutrophil-to-lymphocyte ratio (NLR) as a biomarker for predicting the severity of acute pancreatitis (AP). We conducted a retrospective analysis of 118 AP patients, categorizing them into mild-to-moderate and severe groups. NLR was significantly higher in the severe AP group compared to the mild-to-moderate group, suggesting its potential as an early predictor of AP severity. The study also examined the correlation between NLR and the CT Severity Index, a widely used measure of AP severity, further supporting the utility of NLR as a rapid and accessible tool for risk stratification in AP management.

摘要

引言

急性胰腺炎(AP)是一种胰腺炎症性疾病,严重程度从轻度、自限性形式到死亡率高的严重病例不等。AP有多种病因,包括饮酒和肥胖等生活方式因素,其快速进展使得早期准确预测严重程度对于有效管理和改善患者预后至关重要。传统的AP严重程度评估工具,如兰森标准和急性生理与慢性健康状况评分系统II(APACHE II),需要大量数据和时间,在紧急情况下不太可行。因此,需要更简单的生物标志物,以便在患者就诊时快速预测AP严重程度,从而实现早期风险分层和针对性干预。本研究旨在通过评估中性粒细胞与淋巴细胞比值(NLR)作为预测AP严重程度的潜在生物标志物,并评估其与CT严重程度指数(一种广泛使用的AP严重程度测量指标)的相关性,来填补这一研究空白。

方法

本研究采用回顾性分析设计,在印度卡纳塔克邦的R L贾拉帕医院及研究中心进行。研究人员纳入了118例根据修订的亚特兰大分类法诊断为急性胰腺炎(AP)的患者。从参与者的病历中收集的数据集包括年龄、性别、烟酒使用史、腹痛持续时间、入住重症监护病房(ICU)情况、CT严重程度指数评分以及中性粒细胞与淋巴细胞比值(NLR)等变量。使用SPSS 21.0软件(美国纽约州阿蒙克市IBM公司)进行统计分析。p值小于0.05被认为具有统计学意义。这种全面性的方法旨在在考虑患者数据变异性的同时,对NLR在预测AP严重程度中的作用提供精确见解。

结果

该研究纳入了118例患者,其中85例被归类为轻度至中度胰腺炎,33例为重度胰腺炎。两组在性别、体重指数(BMI)、饮酒、吸烟和合并症等人口统计学因素方面无显著差异。该研究还考察了中性粒细胞与淋巴细胞比值(NLR)与CT严重程度指数(一种胰腺炎严重程度的测量指标)之间的关系。结果显示NLR与CT严重程度指数之间存在强正相关(r = 0.860,p < 0.001)。这表明,根据CT严重程度指数衡量,较高的NLR值与更严重的胰腺炎相关。这些关系表明NLR反映了急性胰腺炎中的炎症反应,炎症标志物水平越高,NLR值越高。

结论

本研究旨在评估中性粒细胞与淋巴细胞比值(NLR)作为预测急性胰腺炎(AP)严重程度的生物标志物。我们对118例AP患者进行了回顾性分析,将他们分为轻度至中度组和重度组。与轻度至中度组相比,重度AP组的NLR显著更高,表明其作为AP严重程度早期预测指标的潜力。该研究还考察了NLR与CT严重程度指数(一种广泛使用的AP严重程度测量指标)之间的相关性,进一步支持了NLR作为AP管理中快速且易于获取的风险分层工具的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b83d/11685782/bf77ccdce575/cureus-0016-00000074881-i01.jpg

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