Establishment of a predictive model for outcomes in patients with severe acute pancreatitis by nucleated red blood cells combined with Ranson score and APACHE II score

Q4 Health Professions 中华检验医学杂志 Pub Date : 2020-01-11 DOI:10.3760/CMA.J.ISSN.1009-8158.2020.01.007
Jing Wang, X. Jin, G. Lu, Yuan Yuan
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Abstract

Objective To explore a predictive model for outcomes of severe acute pancreatitis (SAP) patients. Methods A retrospective study was conducted of 102 SAP patients from January 1,2016 to April 30,2018 from Taizhou Hospital in this study. The participants were divided into survival group and death group according to the outcome of 90 days after admission,88 cases were in survival group including 57 males and 31 females, aged 55.5 (40.3-69.8) years; 14 cases were in death group including 5 males and 9 females, aged 63.0 (50.8-80.8) years. Clinical data and laboratory indicators were compared between the two groups. Statistical analyses were performed to compare categorical variables. Chi-square automatic interaction detector (CHAID) was used to construct the prediction model of SAP patients′ outcomes. The study cohort consisted of SAP patients from August 1st 2018 to July 1st 2019 were collected to validate the prediction model. Results (1)Statistical analyses were performed by chi square test and Mann-Whitney U test. There were statistically significant differences in the proportion of cardiovascular and cerebrovascular diseases, mechanical ventilation and septic shock, and also the Charlson complication index (CCI), the Ranson score and APACHEⅡscore(χ2=5.554, P=0.018; χ2=5.585,P=0.018;P=0.008;Z=-3.007,P=0.003;Z=-2.982, P=0.003; Z=-3.257, P=0.001), death group were higher than survival group. (2) The MPV, CRP, MCHC, pH, pCO2 and positive rates of NRBC were statistically different between survival group and death group(Z=-2.466,P=0.014;Z=-2.689,P=0.007;Z=-2.238,P=0.025;Z=-1.977,P=0.048;Z=-2.239, P=0.025;P=0.000).The NRBC-positive rate in the death group was higher than that in the survival group, while the other indexes were lower in the survival group.(3)The decision tree CHAID method obtains the prediction scheme: when it meets the Ranson score≤3, the SAP patients were judged to be alive; when it meets the Ranson score>3 and the NRBC in peripheral blood was negative, the SAP patients were judged to be alive; when it meets the Ranson score>3, the NRBC was positive and the APACHEⅡscore≤21, the SAP patients were judged to be alive; when it meets the Ranson score>3, NRBC was positive and APACHE Ⅱ>21, the SAP patients were adverse prognosis. (4) 50 SAP patients were collected in the validation group, with 43 actual survivors and 7 deaths. The accuracy rate of predicting the outcomes of SAP patients in validation group with the scheme was 94.0% (47/50). Conclusion The NRBC combined with Ranson score system and APACHE II score system can predict the outcomes of SAP patients. Key words: Acute disease; Pancreatitis; Erythroblasts; APACHE
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有核红细胞联合Ranson评分和APACHE II评分预测重症急性胰腺炎预后模型的建立
目的探讨重症急性胰腺炎(SAP)患者预后的预测模型。方法对2016年1月1日至2018年4月30日泰州医院收治的102例SAP患者进行回顾性研究。根据入院后90天的转归分为生存组和死亡组,生存组88例,其中男性57例,女性31例,年龄55.5(40.3-69.8)岁;死亡组14例,男5例,女9例,年龄63.0岁(50.8 ~ 80.8岁)。比较两组患者的临床资料和实验室指标。对分类变量进行统计分析比较。采用卡方自动交互检测器(CHAID)构建SAP患者预后预测模型。研究队列由2018年8月1日至2019年7月1日的SAP患者组成,以验证预测模型。结果(1)统计学分析采用卡方检验和Mann-Whitney U检验。两组心脑血管病、机械通气、感染性休克比例及Charlson并发症指数(CCI)、Ranson评分、APACHEⅡ评分差异均有统计学意义(χ2=5.554, P=0.018;χ2 = 5.585,P = 0.018; P = 0.008; Z = -3.007, P = 0.003; Z = -2.982, P = 0.003;Z=-3.257, P=0.001),死亡组高于生存组。(2)生存组与死亡组MPV、CRP、MCHC、pH、pCO2及NRBC阳性率差异有统计学意义(Z=-2.466,P=0.014;Z=-2.689,P=0.007;Z=-2.238,P=0.025;Z=-1.977,P=0.048;Z=-2.239, P=0.025;P=0.000)。死亡组nrbc阳性率高于生存组,其他指标均低于生存组。(3)决策树CHAID法得出预测方案:当满足Ranson评分≤3分时,判断SAP患者存活;当Ranson评分>3且外周血NRBC为阴性时,判断SAP患者存活;当Ranson评分>3,NRBC阳性,APACHEⅡ评分≤21时,判断SAP患者存活;当Ranson评分>3,NRBC阳性,APACHEⅡ>21时,SAP患者预后不良。(4)验证组共收集SAP患者50例,其中实际存活43例,死亡7例。验证组SAP患者预后预测准确率为94.0%(47/50)。结论NRBC联合Ranson评分系统和APACHE II评分系统可以预测SAP患者的预后。关键词:急性病;胰腺炎;成红血球细胞;APACHE
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中华检验医学杂志
中华检验医学杂志 Health Professions-Medical Laboratory Technology
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