Résumé
Objective:To investigate the predictive value of intra-abdominal pressure (IAP) combined with bedside index for severity in acute pancreatitis (BISAP) score on the severity and prognosis of acute pancreatitis (AP).Methods:In this retrospective study, 204 AP patients admitted to the Department of ICU, Second Hospital of Anhui University from Jan 2015 to Dec 2020 were divided based on the severity: into SAP group (145 cases) and Non-SAP group (59 cases) with end point survival (177 cases) and death (27 cases). The receiver operating characteristic (ROC) curves were drawn, and the predictive value of IAP, BISAP score and I-B (IAP and BISAP scores) in the severity and the prognosis of AP was studied. Medcalc software was used to compare the areas under ROC curve for different predictors.Results:IAP and BISAP scores increased with the severity of AP ( P<0.001), the area under the ROC curve (AUC) was 0.791, 0.749 and 0.907 respectively,comparison of area under ROC curve showed that I-B combined assessment was superior to IAP value and BISAP score alone in predicting severity ( P<0.05). IAP and BISAP scores were higher in the death group than in the survival group ( P<0.001). The ROC curve results of IAP, BISAP score and I-B combined on the prognosis of AP showed that the AUC was 0.773, 0.841 and 0.950, respectively,comparison of area under ROC curve showed that I-B combined assessment was superior to IAP and BISAP score alone in predicting prognostic value ( P<0.05). Conclusion:Both IAP and BISAP scores can better predict the severity of and the prognosis of AP, and the combination of IAP and BISAP score is more valuable for prediction of prognosis in AP.
Résumé
Objective:To investigate the bedside index for severity in acute pancreatitis(BISAP) score combined with red cell distribution width (red cell distribution width,RDW) on acute pancreatitis (AP) and early assessment of the severity of value.Methods:385 patients with acute pancreatitis were collected from October 2015 to November 2017 in our hospital,according to the severity of the disease were divided into mild group (MAP),moderately severe group (MSAP) and severe group (SAP),patients admitted to hospital within 24h,blood urea nitrogen,blood glucose,blood examination,collection of red blood cells in parallel the BISAP score distribution width,using analysis of variance statistical differences between three groups of data,and draw the RDW combined with BISAP score in predicting the progression of AP receiver operating characteristic curve analysis and its predictive value.Results:Mild group,moderately severe group,severe BISAP score and red blood cell distribution 0width increased sequentially.There was a significant difference in RDW and BISAP scores between the three groups (P＜0.05),and RDW was positively correlated with BISAP score (r=0.384,P＜0.01).The area under the curve of BISAP score,RDW combined with BISAP score for predicting AP disease was 0.879 and 0.894 respectively,and the sensitivity was 77.3％,95.5％,and the specificity was 85.3％ and 76.5％.Conclusion:With the aggravation of AP patients,both the BISAP score and the RDW increase.The combination of the two is helpful to predict the patient's condition.
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Objective To explore the four criteria,including bedside index for severity in acute pancreatitis(BISAP),Ranson score,modified CT severity index(MCTSI) and acute physiology and chronic health evaluation scoring system Ⅱ (APACHE Ⅱ) in assessment of severity and prognosis of hyperlipidemic acute pancreatitis.Methods A total of 326 patients with hyperlipidemic acute pancreatitis were studied retrospectively from August 2006 to July 2015.The discrepancy of the four criteria in assessment of severity and prognosis of hyperlipidemic acute pancreatitis was compared with chi-square test and receiver operating characteristic curve.Results The incidences of moderately severe acute pancreatitis and severe acute pancreatitis,local complications and mortality of patients with BISAP score ≥3,Ranson score ≥3,APACHE Ⅱ score≥8 and MCTSI score≥4 were significantly higher than BISAP score ＜ 3,Ranson score ＜ 3,APACHE Ⅱ score ＜ 8 and MCTSI ＜ 4 respectively (all P ＜ 0.05).As far as severity was concerned,the sensitivity and AUC of APACHE Ⅱ were 57％ and 0.814,which were higher than the other systems.The second most sensitive criterion was BISAP.In assessment of local complications,the sensitivity and AUC of MCTSI were 68％ and 0.791,which were higher than the other three.The most sensitive criterion to predict mortality was BISAP with sensitivity 89％ and AUC 0.867,which was followed by APACHE Ⅱ.Conclusions All four criteria can be used to determine the severity,local complications and mortality.Generally,BISAP is simple and easy to practice,and better than the other three.
Résumé
Objective To investigate the value of BISAP scoring system in predicting the severity of acute pancreatitis.Methods Medline,EMBASE,Science Direct,Springer link,CBM,Cnki,Wan fang and VIP database were retrieved by computer between January 2000 and March 2013,and articles of BISAP score system in predicting the acute pancreatitis were collected according to strict inclusion criteria.Quality assessment was made by QUADAS scale.Meta-Disc1.4 software was used to analyze the heterogeneity of included articles and perform quantitative synthesis,as well as calculate the pooled sensitivity and specificity,positive likelihood ratio,negative likelihood ratio,and draw the ROC curve,and the results were presented with 95％ CI.Results A total of 11 articles were included,and there were 7 Chinese articles and 4 English articles.According to QUADAS scale,there were 4 articles of A grade,5 articles of B grade,2 articles of C grade.There were 6 studies using 2 as BISAP cut-off value,and 9 articles using 3 as cut-off value,while 4 studies using 2 cut-off values.Pooled analysis showed diagnostic odds ratio of 8.03 (95 ％ CI 5.66-11.38) when cut-off value was 2,and diagnostic odds ratio of 7.49 (95％ CI 5.35-10.49) when cut-off value was 3.There were moderate heterogeneity in both groups (I2 =63.3 ％,P =0.018; I2 =56.1％,P =0.019).When BISAP cut-off value was 2,the pooled analysis of sensitivity,specificity,positive likelihood ratio,negative likelihood ratio and area under curve (AUC) were 59％ (95％ CI56％-63％),82％ (95％ CI 80％-83％),3.50 (95％ CI2.96-4.14),0.45 (95％ CI0.36-0.56) and0.82; and when BISAP cut-off value was 3,the corresponding values were 44％ (95％ CI41％-47％),90％ (95％ CI 89％-91％),4.59 (95％ CI 3.31-6.37),0.64 (95％ CI 0.61-0.68) and 0.64.The former had a high sensitivity,low specificity and large AUC,while the latter had a low sensitivity,high specificity and small AUC.Conclusions The best cut-off value of BISAP in predicting SAP is 2.When cut-off value is 2,the misdiagnosis rate is low,and the false positive rate is in the acceptable range,which is suitable for clinical application.