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炎症标志物在预测急性胰腺炎严重程度中的临床意义。

Clinical Significance of Inflammation Markers in Predicting the Severity of Acute Pancreatitis.

机构信息

From the Department of General Surgery, Yanbian University Hospital, Yanji, Jilin.

出版信息

Pancreas. 2021 Feb 1;50(2):201-205. doi: 10.1097/MPA.0000000000001749.

DOI:10.1097/MPA.0000000000001749
PMID:33565796
Abstract

OBJECTIVES

Acute pancreatitis (AP) is an inflammatory disease of the pancreas. We analyzed changes in inflammation markers to explore the clinical significance of using these markers to predict the severity of AP.

METHODS

The study included 169 patients (severe AP = 50 and nonsevere AP = 119) admitted to Yanbian University Hospital between January 2015 and July 2017. The neutrophil-to-lymphocyte ratio (NLR), prognostic nutrition index (PNI), lymphocyte-to-monocyte ratio, red blood cell distribution width coefficient of variation, mean platelet volume, platelet-to-lymphocyte ratio, and red blood cell distribution width-to-platelet ratio of the patients were detected after admission. Correlations between AP severity and various inflammatory markers were statistically analyzed.

RESULTS

The results indicated that the NLR on the first day after admission (area under the curve, 0.824; 95% confidence interval, 0.753-0.896) and the PNI on the third day after admission (area under the curve, 0.814; 95% confidence interval, 0.753-0.896) had more significance than other inflammation markers in predicting the severity of AP. In AP patients, the NLR showed a gradual decline, and the PNI initially decreased and then increased.

CONCLUSIONS

The NLR and PNI can provide new reference values for predicting the severity of AP.

摘要

目的

急性胰腺炎(AP)是一种胰腺炎症性疾病。我们分析了炎症标志物的变化,以探讨使用这些标志物预测 AP 严重程度的临床意义。

方法

该研究纳入了 2015 年 1 月至 2017 年 7 月期间延边大学附属医院收治的 169 例患者(重症 AP=50 例,非重症 AP=119 例)。入院后检测了患者的中性粒细胞与淋巴细胞比值(NLR)、预后营养指数(PNI)、淋巴细胞与单核细胞比值、红细胞分布宽度变异系数、平均血小板体积、血小板与淋巴细胞比值和红细胞分布宽度与血小板比值。对 AP 严重程度与各种炎症标志物之间的相关性进行了统计学分析。

结果

结果表明,入院后第 1 天的 NLR(曲线下面积,0.824;95%置信区间,0.753-0.896)和入院后第 3 天的 PNI(曲线下面积,0.814;95%置信区间,0.753-0.896)在预测 AP 严重程度方面比其他炎症标志物更有意义。在 AP 患者中,NLR 逐渐下降,PNI 先降低后升高。

结论

NLR 和 PNI 可为预测 AP 严重程度提供新的参考值。

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