使用非侵入性标志物预测肝硬化患者食管静脉曲张的严重程度
Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers.
作者信息
Du Yang-Chun, Jiang Dan, Wu Ji
机构信息
Department of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China.
出版信息
Risk Manag Healthc Policy. 2023 Aug 15;16:1555-1566. doi: 10.2147/RMHP.S418892. eCollection 2023.
BACKGROUND
The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet count-to-spleen diameter ratio (PSR), platelet count-to-spleen volume ratio (PSVR), spleen size (SZ), and a combination of these markers in determining the severity of EV in patients with cirrhosis.
METHODS
We recruited 82 inpatients with LC from the Department of Gastroenterology at the First Affiliated Hospital of Guangxi Medical University between January 2018 and December 2019 for this diagnostic investigation. All patients underwent endoscopy, ultrasound, computed tomography, and routine laboratory investigations. For the study, we evaluated and compared the diagnostic accuracy of PSR, PSVR, SZ, and their combinations.
RESULTS
There were significant differences in the area under the receiver operating characteristic (ROC) curve (AUC) in the prediction of severe and moderate/severe EV for all the variables. PSR+PSVR had the highest AUC at 0.735 (95% CI: 0.626-0.826) and 0.765 (95% CI: 0.659-0.852) for predicting severe and moderate/severe EV, respectively. There were statistically significant differences in the AUCs (95% CI) for PSR, PSVR, and PSR+PSVR in predicting the existence of EV. As per the overall model quality chart, the combination of PSR+PSVR was the best indicator for detecting the presence of EV (AUC, 0.696; 95% CI: 0.584-0.792).
CONCLUSION
In our study, we found that these noninvasive parameters could predict the extent of severity of EV in patients with LC. We anticipate the use of a combination of PSR + PSVR to emerge as the superior indicator as studies progress.
背景
使用非侵入性临床、生化和影像学参数预测肝硬化(LC)患者食管静脉曲张(EV)的存在及其严重程度。本研究的目的是探讨非侵入性EV预测指标的准确性,如血小板计数与脾脏直径比值(PSR)、血小板计数与脾脏体积比值(PSVR)、脾脏大小(SZ)以及这些指标的组合在确定肝硬化患者EV严重程度方面的准确性。
方法
2018年1月至2019年12月,我们从广西医科大学第一附属医院胃肠病科招募了82例LC住院患者进行此项诊断研究。所有患者均接受了内镜检查、超声检查、计算机断层扫描和常规实验室检查。在本研究中,我们评估并比较了PSR、PSVR、SZ及其组合的诊断准确性。
结果
所有变量在预测重度和中度/重度EV时,受试者操作特征(ROC)曲线下面积(AUC)存在显著差异。PSR+PSVR预测重度和中度/重度EV时的AUC最高,分别为0.735(95%CI:0.626-0.826)和0.765(95%CI:0.659-0.852)。PSR、PSVR和PSR+PSVR在预测EV存在时的AUC(95%CI)存在统计学显著差异。根据整体模型质量图,PSR+PSVR组合是检测EV存在的最佳指标(AUC,0.696;95%CI:0.584-0.792)。
结论
在我们的研究中,我们发现这些非侵入性参数可以预测LC患者EV的严重程度。随着研究的进展,我们预计使用PSR+PSVR组合将成为更好的指标。
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本文引用的文献
Ann Hepatol. 2019-6-28
World J Hepatol. 2016-8-28