Predictive value of platelets-to-spleen diameter ratio for esophagogastric varices in hepatitis B virus-induced cirrhosis.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI:10.62347/XQUE3108
Hong Qi, Xuan Yang, Man Yan, Yange Wang, Xueqin Fang, Li Sun
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Abstract

Objective: To evaluate the predictive efficacy of the platelets-to-spleen diameter ratio (PSDR) for developing esophagogastric varices (EV) in patients with cirrhosis due to hepatitis B virus (HBV).

Methods: We conducted a retrospective cohort study using data from patients treated for HBV induced cirrhosis at Xi'an No. 3 Hospital, the Affiliated Hospital of Northwest University, from June 2020 to August 2023. Patients were categorized into two groups based on endoscopic evidence of EV: an EV group and a non-EV group. Clinical, sonographic, and hematological findings were compared within and between these groups. Stratified analyses based on the severity of varices were performed, and multivariate logistic regression was used to identify predictors of EV. Receiver Operating Characteristic (ROC) curve analysis assessed the diagnostic accuracy of PSDR in predicting EV.

Results: The study included 139 patients diagnosed with HBV induced cirrhosis, divided into an EV group (86 patients, with 48 low-risk and 38 high-risk) and a non-EV group (53 patients). Significant differences were found between the groups in several parameters: Child-Pugh classification, Child-Pugh score, portal vein diameter, hepatic vein deceleration index, spleen thickness, and PSDR (all P<0.001). These variables also varied significantly across the different risk categories within the EV group (all P<0.001). Multivariate logistic regression indicated PSDR as an independent predictor of EV development (Odds Ratio [OR]=3.569, 95% Confidence Interval [CI]: 0.970-1.001, P<0.001). ROC curve analysis showed that PSDR had an Area Under the Curve (AUC) of 0.865 (95% CI: 0.764-0.965) for predicting EV, with an optimal threshold of 1013.2, achieving 88.46% sensitivity and 69.23% specificity. For high-risk EV, PSDR showed an AUC of 0.763 (95% CI: 0.670-0.856), with a threshold of 883.5, sensitivity of 79.17%, and specificity of 54.17%.

Conclusion: The PSDR is a significant risk marker and demonstrates strong predictive utility for both the presence and severity of EV in patients with HBV-induced cirrhosis. PSDR provides a valuable, non-invasive diagnostic tool for anticipating the development of EV in this patient population.

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血小板与脾脏直径比值对乙型肝炎病毒所致肝硬化食管胃底静脉曲张的预测价值
目的评估血小板脾径比(PSDR)对乙型肝炎病毒(HBV)肝硬化患者发生食管胃底静脉曲张(EV)的预测效果:我们利用2020年6月至2023年8月期间在西北大学附属第三医院(西安市第三医院)接受治疗的HBV诱发肝硬化患者的数据进行了一项回顾性队列研究。根据内镜证据将患者分为两组:EV 组和非 EV 组。比较两组内和两组间的临床、声像图和血液学结果。根据静脉曲张的严重程度进行分层分析,并使用多变量逻辑回归来确定EV的预测因素。受体操作特征曲线(ROC)分析评估了 PSDR 在预测 EV 方面的诊断准确性:研究纳入了 139 例确诊为 HBV 诱导肝硬化的患者,分为 EV 组(86 例,其中低危 48 例,高危 38 例)和非 EV 组(53 例)。两组患者在多项参数上存在显著差异:Child-Pugh分级、Child-Pugh评分、门静脉直径、肝静脉减速指数、脾脏厚度和PSDR(均为PC结论:PSDR 是一个重要的风险标志物,对 HBV 引起的肝硬化患者 EV 的存在和严重程度都有很强的预测作用。PSDR 为预测这类患者的 EV 发展提供了一种有价值的非侵入性诊断工具。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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