关键词: Inflammatory bowel disease Platelet mass index Platelet parameters Inflammatory bowel disease Platelet mass index Platelet parameters

来  源:   DOI:10.12865/CHSJ.47.04.13   PDF(Pubmed)

Abstract:
Different qualitative and quantitative changes in platelets are involved in the pathophysiological processes in inflammatory bowel diseases (IBD): ulcerative colitis (UC) and Crohn\'s disease (CD). The aim of the study was to determine the diagnostic accuracy of Platelet mass Index (PMI) and other platelet parameters in assessment disease activity in patients with UC and CD. A cross-sectional, observational study consisted of 60 IBD patients (30 UC and 30 CD) and 30 healthy subjects (Control group). Patients were grouped according to disease activity into active and inactive (remission). Platelet count (PLC), Plateletcrit (PCT), Mean Platelet Volume (MPV), Platelet Distribution Width (PDW) and PMI were determined for all study participants. Receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine diagnostic accuracy. Although PLC had the highest AUC (0.756) compared to PCT (AUC: 0.731), PDW (AUC: 0.722) and PMI (AUC: 0.724), they all had fair diagnostic accuracy in distinguishing active and inactive UC patients. Discriminatory accuracy of PLC was excellent (AUC: 0.909), PCT and PMI good to excellent (AUC: 0.809 and AUC: 0.893, respectively) and PDW fair (AUC: 0.789) in classifying CD patients as active and inactive. Platelet parameters are simple, routinely available biomarkers more useful for assessing disease activity for patients with CD than for patients with UC. Our results indicate, for the first time, that PMI may serve as a novel and simple marker in identifying whether IBD patients are in the active or inactive phase of the disease.
摘要:
在炎症性肠病(IBD):溃疡性结肠炎(UC)和克罗恩病(CD)的病理生理过程中,血小板的定性和定量变化不同。该研究的目的是确定血小板质量指数(PMI)和其他血小板参数在评估UC和CD患者疾病活动中的诊断准确性。横截面,观察性研究包括60例IBD患者(30例UC和30例CD)和30例健康受试者(对照组)。根据疾病活动性将患者分为活跃和不活跃(缓解)。血小板计数(PLC),Plateletcrit(PCT),平均血小板体积(MPV),测定所有研究参与者的血小板分布宽度(PDW)和PMI。使用受试者工作特征(ROC)曲线及其相应的曲线下面积(AUC)来确定诊断准确性。尽管与PCT(AUC:0.731)相比,PLC具有最高的AUC(0.756),PDW(AUC:0.722)和PMI(AUC:0.724),在区分活动性和非活动性UC患者方面,它们均具有相当的诊断准确性.PLC的判别精度优异(AUC:0.909),在将CD患者分类为活跃和不活跃时,PCT和PMI良好(分别为AUC:0.809和AUC:0.893)和PDW公平(AUC:0.789)。血小板参数很简单,常规可用的生物标志物对评估CD患者的疾病活动比UC患者更有用.我们的结果表明,第一次,该PMI可作为一种新颖且简单的标志物,用于鉴别IBD患者是否处于疾病的活动期或非活动期.
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