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基于天冬氨酸转氨酶-血小板比值指数评分对肝癌患者肝切除术后肝衰竭的评估影响。

Impact of aspartate aminotransferase-to-platelet ratio index based score to assess posthepatectomy liver failure in patients with hepatocellular carcninoma.

机构信息

Department of Surgery, Hiroshima Red Cross Hospital and Atomic-bomb Survivors Hospital, Hiroshima, Japan.

出版信息

World J Surg Oncol. 2022 Aug 2;20(1):248. doi: 10.1186/s12957-022-02714-y.

Abstract

BACKGROUND

Posthepatectomy liver failure (PHLF) is a life-threatening complication following hepatic resection. The aspartate aminotransferase-to-platelet ratio index (APRI) is a non-invasive model for assessing the liver functional reserve in patients with hepatocellular carcinoma (HCC). This study aimed to establish a scoring model to stratify patients with HCC at risk for PHLF.

METHODS

This single-center retrospective study included 451 patients who underwent hepatic resection for HCC between 2004 and 2017. Preoperative factors, including non-invasive liver fibrosis markers and intraoperative factors, were evaluated. The predictive impact for PHLF was evaluated using receiver operating characteristic (ROC) curves of these factors.

RESULTS

Of 451 patients, 30 (6.7%) developed severe PHLF (grade B/C). Multivariate logistic analysis indicated that APRI, model for end-stage liver disease (MELD) score, operating time, and intraoperative blood loss were significantly associated with severe PHLF. A scoring model (over 0-4 points) was calculated using these optimal cutoff values. The area under the ROC curve of the established score for severe PHLF was 0.88, which greatly improved the predictive accuracy compared with these factors alone (p < 0.05 for all).

CONCLUSIONS

The scoring model-based APRI, MELD score, operating time, and intraoperative blood loss can predict severe PHLF in patients with HCC.

摘要

背景

肝切除术后肝功能衰竭(PHLF)是一种危及生命的并发症。天门冬氨酸氨基转移酶与血小板比值指数(APRI)是评估肝细胞癌(HCC)患者肝功能储备的一种非侵入性模型。本研究旨在建立一种评分模型,对 HCC 患者发生 PHLF 的风险进行分层。

方法

本单中心回顾性研究纳入了 2004 年至 2017 年间接受 HCC 肝切除术的 451 例患者。评估了术前因素,包括非侵入性肝纤维化标志物和术中因素。使用这些因素的受试者工作特征(ROC)曲线评估预测 PHLF 的影响。

结果

在 451 例患者中,30 例(6.7%)发生严重 PHLF(B/C 级)。多因素 logistic 分析表明,APRI、终末期肝病模型(MELD)评分、手术时间和术中出血量与严重 PHLF 显著相关。使用这些最佳截断值计算了一个评分模型(0-4 分)。建立的严重 PHLF 评分的 ROC 曲线下面积为 0.88,与这些因素单独相比,大大提高了预测准确性(p<0.05)。

结论

基于 APRI、MELD 评分、手术时间和术中出血量的评分模型可预测 HCC 患者的严重 PHLF。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda5/9344632/b322a8351274/12957_2022_2714_Fig1_HTML.jpg

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