摘要
目的 探讨C反应蛋白与白蛋白比值(CRP/ALB)、降钙素原与白蛋白比值(PCT/ALB)对急性胰腺炎(AP)严重程度的早期预测价值.方法 回顾性分析2020年1月至2022年12月郑州大学第二附属医院住院治疗的133例AP患者的临床资料.其中,非重症急性胰腺炎(NSAP)组85例,重症急性胰腺炎(SAP)组48例.对两组患者的年龄、住院总天数、转入ICU率、血淀粉酶、白细胞(WBC)、红细胞比容(HCT)、Ca2+、血清肌酐(Cr)、血清尿素氮(BUN)、D-二聚体、PCT、CRP、ALB、PCT/ALB、CRP/ALB等进行单因素方差分析,筛选出与AP严重程度相关的指标,并对筛选出的指标进行ROC曲线分析和二元logistic回归分析.结果 ROC曲线分析结果显示,CRP、CRP/ALB、PCT、PCT/ALB 预测 AP 严重程度的曲线下面积分别为 0.793、0.804、0.869、0.881;logistic回归分析结果显示,CRP/ALB[OR=1.685,95％CI(1.293,2.195)]、PCT/ALB[OR=1.255,95％CI(1.052,1.497)]是早期预测AP严重程度的独立危险因素.结论 CRP/ALB、PCT/ALB比值越高,AP患者发展为重症的可能性越大,二者与AP患者的疾病严重程度呈正相关.
Abstract
Objective To explore the early predictive value of the C-reactive protein to albumin ratio(CRP/ALB)and procalcitonin to albumin ratio(PCT/ALB)for the severity of acute pancreatitis(AP).Methods A retrospective analysis was conducted on the clinical data of 133 patients with AP who were hospitalized at the Second Affiliated Hospital of Zhengzhou University from January 2020 to December 2022.Among them,there were 85 cases in the non-severe acute pancreatitis(NSAP)group and 48 cases in the severe acute pancreatitis(SAP)group.Univariate analysis of variance was performed on the age,total hospital stays,ICU admission rate,amylase,white blood cell(WBC)count,hematocrit(HCT),Ca2+,serum creatinine(Cr),blood urea nitrogen(BUN),D-dimer,serum procalcitonin(PCT),CRP,serum albumin(ALB),PCT/ALB,CRP/ALB in two groups to screen the indicators related to the severity of AP.Subsequently,ROC curve analysis and binary logistic regression analysis were condacted on the selected indicators.Results The ROC curve analysis showed that the area under the curve of CRP,CRP/ALB,PCT,and PCT/ALB were 0.793,0.804,0.869,and 0.881,respectively.The logistic regression analysis showed that CRP/ALB[OR=1.685,95％CI(1.293,2.195)]and PCT/ALB[OR=1.255,95％CI(1.052,1.497)]were independent risk factors for predicting the severity of early AP.Conclusion The higher the CRP/ALB and PCT/ALB,the greater the likelihood that AP patients will develop into severe illness,and both are positively correlated with the severity of AP in patients.
NETL
NSTL
万方数据