.PASS评分联合FPR、PCT对重症急性胰腺炎的预测价值研究[J].,2024,(24):4685-4688 |
PASS评分联合FPR、PCT对重症急性胰腺炎的预测价值研究 |
Predictive Value of Combination of PASS, FPR,and PCT for Severe Acute Pancreatitis |
投稿时间:2024-03-02 修订日期:2024-04-09 |
DOI:10.13241/j.cnki.pmb.2024.24.018 |
中文关键词: 重症急性胰腺炎 PASS评分 纤维蛋白原/前白蛋白 降钙素原 |
英文关键词: SAP PASS FPR PCT |
基金项目:四川省南充市市校合作科研专项资金项目(19SXHZ0056) |
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中文摘要: |
摘要 目的:探讨胰腺炎活动评分系统(pancreatitis activity scoring system,PASS)联合纤维蛋白原/前白蛋白比值(fibrinogen/prealbumin ratio, FPR)、降钙素原(procalcitonin, PCT)对重症急性胰腺炎(severe acute pancreatitis, SAP)的预测价值。方法:研究对象为2021年9月到2023年9月川北医学院附属医院收治的160例急性胰腺炎(acute pancreatitis, AP)患者,AP患者有无器官衰竭和局部及全身并发症分为轻症急性胰腺炎(mild acute pancreatitis, MAP)、中重症急性急性胰腺炎(moderate severe acute pancreatitis, MSAP)及重症急性胰腺炎(SAP)。MAP、MSAP患者纳入非重症急性胰腺炎组(non-severe acute pancreatitis, NSAP),另一组为重症急性胰腺炎组(SAP)。比较两组患者PASS评分、FPR、PCT水平,以Logistic回归分析发生SAP的独立危险因素,并应用受试者工作特征(receiver operating characteristic, ROC)曲线评估PASS、FPR、PCT对SAP患者的预测价值。结果:两组患者的PASS评分、FPR、PCT、白细胞(white blood cell, WBC)、肌酐、纤维蛋白原、前白蛋白差异具有统计学意义(P<0.05),NSAP组的PASS评分、FPR、PCT、WBC、肌酐、纤维蛋白原显著低于SAP组,NSAP组前白蛋白水平显著高于SAP组。二元Logistic回归分析显示:PASS评分、FPR、PCT及联合检测预测SAP发生的曲线下面积(Area under the curve, AUC)分别为0.788、0.858、0.832及0.895。结论:PASS评分、FPR、PCT是SAP发生的危险因素,与AP严重程度呈正相关。PASS评分联合FPR、PCT预测SAP发生的能力强于其中任何一项指标单一检测。 |
英文摘要: |
ABSTRACT Objective: To investigate the predictive value of PASS combined with fibrinogen / prealbumin (FPR) and procalcitonin (PCT) in SAP. Methods: A total of 160 patients with acute pancreatitis (AP) treated in the affiliated Hospital of North Sichuan Medical College from September 2021 to September 2023 were selected. Patients with AP with or without organ failure and local or systemic complications were characterized by MAP and MSAP and SAP. Patients with MAP and MSAP were classified into the NSAP group and the SAP group. The PASS score, FPR and PCT levels were compared between the two groups, and the independent risk factors for SAP were analyzed by Logistic regression. The predictive value of PASS, FPR and PCT in SAP patients was evaluated by ROC curve. Results: There was a statistically significant difference in the PASS score, FPR, PCT, WBC, creatinine fibrinogen and prealbumin between the two groups of patients(P<0.05). The PASS score, FPR, PCT, WBC, creatinine, and fibrinogen in the NSAP group were significantly lower than those in the SAP group, while the prealbumin level in the NSAP group was significantly higher than that in the SAP group. Binary Logistic regression analysis showed that the PASS score, FPR and PCT were risk factors for SAP. ROC curve analysis results showed that the area under the curve of PASS score, FPR, PCT and combined detection to predict SAP occurrence were 0.788, 0.858, 0.832 and 0.895, respectively. Conclusion: PASS score, FPR, and PCT are risk factors for SAP occurrence and are positively correlated with the severity of AP. The clincial value of PASS score combined with FPR and PCT to predict SAP occurrence was stronger than that of any index alone. |
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