Araiza-Rodríguez José Francisco, Bautista-Becerril Brandon, Núñez-Venzor Alejandra, Falfán-Valencia Ramcés, Zubillaga-Mares Asya, Abarca-Rojano Edgar, Sevilla-Fuentes Samuel, Mendoza-Vargas Luis Ángel, Ramos-Martínez Espiridión, Berthaúd-González Bertha, Avila-Páez Mauricio, Manilla-González Jennifer, Guerrero Jiménez José Manuel, Rodríguez Aguilar Liceth Michelle
Hospital General "Dr. Manuel Gea González", Mexico City 14080, Mexico.
Laboratorio de Neumogenómica, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
J Clin Med. 2025 Aug 4;14(15):5465. doi: 10.3390/jcm14155465.
: Acute pancreatitis (AP) is a highly variable inflammatory condition that can lead to severe complications and high mortality, particularly in its severe forms. Early risk stratification is essential; however, the delayed availability of traditional scoring systems often limits its effectiveness. This study aimed to evaluate the clinical utility of systemic inflammation indices as early predictors of severity in patients with acute pancreatitis. : A retrospective, observational study was conducted among patients diagnosed with acute pancreatitis, classified according to the revised Atlanta criteria. Upon admission, systemic inflammation indices were calculated from complete blood count parameters, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI). Severity was assessed using the APACHE II score. Statistical analysis involved Kruskal-Wallis tests, Dunn's post hoc comparisons, ROC curve analysis, logistic regression for odds ratios (ORs), and Spearman correlations. : SII, NLR, MLR, SIRI, and AISI showed statistically significant associations with AP severity ( < 0.05). MLR and SIRI exhibited the highest predictive performance (AUC = 0.74). ORs for severe pancreatitis were: MLR = 19.10, SIRI = 7.50, NLR = 7.33, AISI = 5.12, and SII = 4.10. All four indices also demonstrated moderate positive correlations with APACHE II scores. : Systemic inflammation indices are simple, cost-effective, and accessible tools that can aid in the early identification of patients at high risk for severe acute pancreatitis. Their integration into clinical practice may enhance early decision-making and improve patient outcomes.
急性胰腺炎(AP)是一种高度可变的炎症性疾病,可导致严重并发症和高死亡率,尤其是重症形式。早期风险分层至关重要;然而,传统评分系统的延迟可用性常常限制了其有效性。本研究旨在评估全身炎症指标作为急性胰腺炎患者严重程度早期预测指标的临床实用性。
对根据修订的亚特兰大标准分类的急性胰腺炎确诊患者进行了一项回顾性观察研究。入院时,根据全血细胞计数参数计算全身炎症指标,包括中性粒细胞与淋巴细胞比值(NLR)、单核细胞与淋巴细胞比值(MLR)、全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)和全身炎症综合指数(AISI)。使用急性生理与慢性健康状况评分系统II(APACHE II)评分评估严重程度。统计分析包括Kruskal-Wallis检验、Dunn事后比较、ROC曲线分析、比值比(OR)的逻辑回归和Spearman相关性分析。
SII、NLR、MLR、SIRI和AISI与AP严重程度存在统计学显著关联(<0.05)。MLR和SIRI表现出最高的预测性能(AUC = 0.74)。重症胰腺炎的OR分别为:MLR = 19.10,SIRI = 7.50,NLR = 7.33,AISI = 5.12,SII = 4.10。所有四个指标也与APACHE II评分呈中度正相关。
全身炎症指标是简单、经济有效且易于获取的工具,可有助于早期识别重症急性胰腺炎的高危患者。将它们纳入临床实践可能会加强早期决策并改善患者预后。