Yen H T Dao, Tien M Huynh, Duy T Tran, Phat T Ho, Thong D Vo
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Multivariate regression and receiver operating characteristics (ROC) curves evaluated the prognostic factors and predictive accuracy.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Among 207 patients, 78.7% had nonsevere AP, and 21.3% had SAP. The severe group exhibited a significantly higher median SIRI (12.0) than the nonsevere group (4.9) (<i>P</i> < 0.001). Multivariate regression identified SIRI (odds ratio [OR] = 1.623) as an independent predictor of SAP. The ROC curve determined a SIRI cutoff of 7.82 with an area under the curve (AUC) of 0.737. Combining the SIRI and Bedside Index for Severity in Acute Pancreatitis (BISAP) score improved the predictive ability (AUC = 0.820) with increased sensitivity (90.91%) (<i>P</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>SIRI, particularly when combined with the BISAP score, shows significant potential to predict SAP severity in the Vietnamese clinical setting, providing valuable information for effective patient management.</p>\n </section>\n </div>","PeriodicalId":45861,"journal":{"name":"JGH Open","volume":"8 6","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jgh3.13101","citationCount":"0","resultStr":"{\"title\":\"Clinical value of the Systemic Inflammatory Response Index for predicting acute pancreatitis severity in Vietnamese setting\",\"authors\":\"Yen H T Dao, Tien M Huynh, Duy T Tran, Phat T Ho, Thong D Vo\",\"doi\":\"10.1002/jgh3.13101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aim</h3>\\n \\n <p>Accurate prediction of severe acute pancreatitis (SAP) is crucial for timely intervention. This study focuses on the Systemic Inflammatory Response Index (SIRI) to assess its clinical value in predicting the severity of AP in the Vietnamese context.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A cross-sectional prospective study was conducted with acute pancreatitis patients at a national hospital in Ho Chi Minh City. The patients were classified into nonsevere and severe groups, and the clinical characteristics were analyzed. The predictive abilities of SIRI, calculated using neutrophil × monocyte/lymphocyte, was assessed for predictive abilities. Multivariate regression and receiver operating characteristics (ROC) curves evaluated the prognostic factors and predictive accuracy.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Among 207 patients, 78.7% had nonsevere AP, and 21.3% had SAP. The severe group exhibited a significantly higher median SIRI (12.0) than the nonsevere group (4.9) (<i>P</i> < 0.001). Multivariate regression identified SIRI (odds ratio [OR] = 1.623) as an independent predictor of SAP. The ROC curve determined a SIRI cutoff of 7.82 with an area under the curve (AUC) of 0.737. 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引用次数: 0
摘要
背景和目的 准确预测重症急性胰腺炎(SAP)对及时干预至关重要。本研究重点关注全身炎症反应指数(SIRI),以评估其在预测越南急性胰腺炎严重程度方面的临床价值。 方法 对胡志明市一家国立医院的急性胰腺炎患者进行了横断面前瞻性研究。研究人员将患者分为非重症组和重症组,并对其临床特征进行了分析。以中性粒细胞×单核细胞/淋巴细胞计算的 SIRI 预测能力进行了评估。多变量回归和接收者操作特征曲线(ROC)评估了预后因素和预测准确性。 结果 207 名患者中,78.7% 患有非重度 AP,21.3% 患有 SAP。重症组的 SIRI 中位数(12.0)明显高于非重症组(4.9)(P < 0.001)。多变量回归确定 SIRI(几率比 [OR] = 1.623)是 SAP 的独立预测因子。ROC 曲线确定 SIRI 临界值为 7.82,曲线下面积 (AUC) 为 0.737。将 SIRI 与急性胰腺炎床旁严重程度指数 (BISAP) 评分相结合可提高预测能力(AUC = 0.820),并增加灵敏度(90.91%)(P < 0.001)。 结论 SIRI,尤其是与 BISAP 评分相结合时,在越南临床环境中显示出预测 SAP 严重程度的巨大潜力,为有效管理患者提供了宝贵的信息。
Clinical value of the Systemic Inflammatory Response Index for predicting acute pancreatitis severity in Vietnamese setting
Background and Aim
Accurate prediction of severe acute pancreatitis (SAP) is crucial for timely intervention. This study focuses on the Systemic Inflammatory Response Index (SIRI) to assess its clinical value in predicting the severity of AP in the Vietnamese context.
Methods
A cross-sectional prospective study was conducted with acute pancreatitis patients at a national hospital in Ho Chi Minh City. The patients were classified into nonsevere and severe groups, and the clinical characteristics were analyzed. The predictive abilities of SIRI, calculated using neutrophil × monocyte/lymphocyte, was assessed for predictive abilities. Multivariate regression and receiver operating characteristics (ROC) curves evaluated the prognostic factors and predictive accuracy.
Results
Among 207 patients, 78.7% had nonsevere AP, and 21.3% had SAP. The severe group exhibited a significantly higher median SIRI (12.0) than the nonsevere group (4.9) (P < 0.001). Multivariate regression identified SIRI (odds ratio [OR] = 1.623) as an independent predictor of SAP. The ROC curve determined a SIRI cutoff of 7.82 with an area under the curve (AUC) of 0.737. Combining the SIRI and Bedside Index for Severity in Acute Pancreatitis (BISAP) score improved the predictive ability (AUC = 0.820) with increased sensitivity (90.91%) (P < 0.001).
Conclusion
SIRI, particularly when combined with the BISAP score, shows significant potential to predict SAP severity in the Vietnamese clinical setting, providing valuable information for effective patient management.