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本文引用的文献

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Risk Prediction Models for Postoperative Decompensation and Infection in Patients With Cirrhosis: A Veterans Affairs Cohort Study.肝硬化患者术后失代偿和感染的风险预测模型:退伍军人事务队列研究。
Clin Gastroenterol Hepatol. 2022 May;20(5):e1121-e1134. doi: 10.1016/j.cgh.2021.06.050. Epub 2021 Jul 8.
2
External Validation of the VOCAL-Penn Cirrhosis Surgical Risk Score in 2 Large, Independent Health Systems.在 2 个大型独立医疗系统中对 VOCAL-Penn 肝硬化手术风险评分进行外部验证。
Liver Transpl. 2021 Jul;27(7):961-970. doi: 10.1002/lt.26060.
3
Prevalence of NAFLD, MAFLD and associated advanced fibrosis in the contemporary United States population.当代美国人群中 NAFLD、MAFLD 和相关晚期纤维化的患病率。
Liver Int. 2021 Jun;41(6):1290-1293. doi: 10.1111/liv.14828. Epub 2021 Mar 3.
4
Risk Prediction Models for Post-Operative Mortality in Patients With Cirrhosis.肝硬化患者术后死亡率的风险预测模型。
Hepatology. 2021 Jan;73(1):204-218. doi: 10.1002/hep.31558. Epub 2020 Dec 10.
5
Prevalence, characteristics and mortality outcomes of obese, nonobese and lean NAFLD in the United States, 1999-2016.1999-2016 年美国肥胖、非肥胖和瘦型非酒精性脂肪性肝病(NAFLD)的流行率、特征和死亡率结局。
J Intern Med. 2020 Jul;288(1):139-151. doi: 10.1111/joim.13069. Epub 2020 Apr 22.
6
The impact of cirrhosis and MELD score on postoperative morbidity and mortality among patients selected for liver resection.肝硬化和 MELD 评分对肝切除患者术后发病率和死亡率的影响。
Am J Surg. 2020 Sep;220(3):682-686. doi: 10.1016/j.amjsurg.2020.01.022. Epub 2020 Jan 20.
7
Albumin-Bilirubin Score vs Model for End-Stage Liver Disease in Predicting Post-Hepatectomy Outcomes.白蛋白-胆红素评分与终末期肝病模型在预测肝切除术后结局中的比较。
J Am Coll Surg. 2020 Apr;230(4):637-645. doi: 10.1016/j.jamcollsurg.2019.12.007. Epub 2020 Jan 16.
8
Integration of Child-Pugh score with future liver remnant yields improved prediction of liver dysfunction risk for HBV-related hepatocellular carcinoma following hepatic resection.将Child-Pugh评分与未来肝剩余体积相结合,可改善对乙型肝炎病毒相关肝细胞癌肝切除术后肝功能障碍风险的预测。
Oncol Lett. 2017 May;13(5):3631-3637. doi: 10.3892/ol.2017.5919. Epub 2017 Mar 27.
9
Albumin-Bilirubin Score: Predicting Short-Term Outcomes Including Bile Leak and Post-hepatectomy Liver Failure Following Hepatic Resection.白蛋白-胆红素评分:预测肝切除术后包括胆漏和肝切除术后肝功能衰竭在内的短期结局
J Gastrointest Surg. 2017 Feb;21(2):238-248. doi: 10.1007/s11605-016-3246-4. Epub 2016 Sep 12.
10
Functional remnant liver assessment predicts liver-related morbidity after hepatic resection in patients with hepatocellular carcinoma.功能性残余肝脏评估可预测肝细胞癌患者肝切除术后的肝脏相关发病率。
Hepatol Res. 2017 Apr;47(5):398-404. doi: 10.1111/hepr.12761. Epub 2016 Sep 12.

肝切除术患者术后死亡率风险预测模型的性能。

Performance of risk prediction models for post-operative mortality in patients undergoing liver resection.

机构信息

Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Leonard David Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Am J Surg. 2023 Jan;225(1):198-205. doi: 10.1016/j.amjsurg.2022.07.028. Epub 2022 Aug 5.

DOI:10.1016/j.amjsurg.2022.07.028
PMID:35985849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9994627/
Abstract

BACKGROUND

Liver resection is commonly performed for hepatic tumors, however preoperative risk stratification remains challenging. We evaluated the performance of contemporary prediction models for short-term mortality after liver resection in patients with and without cirrhosis.

METHODS

This retrospective cohort study examined National Surgical Quality Improvement Program data. We included patients who underwent liver resections from 2014 to 2019. VOCAL-Penn, MELD, MELD-Na, ALBI, and Mayo risk scores were evaluated in terms of model discrimination and calibration for 30-day post-operative mortality.

RESULTS

A total 15,198 patients underwent liver resection, of whom 249 (1.6%) experienced 30-day post-operative mortality. The VOCAL-Penn score had the highest discrimination (area under the ROC curve [AUC] 0.74) compared to all other models. The VOCAL-Penn score similarly outperformed other models in patients with (AUC 0.70) and without (AUC 0.74) cirrhosis.

CONCLUSION

The VOCAL-Penn score demonstrated superior predictive performance for 30-day post-operative mortality after liver resection as compared to existing clinical standards.

摘要

背景

肝切除术常用于治疗肝肿瘤,但术前风险分层仍然具有挑战性。我们评估了有无肝硬化的肝切除术后短期死亡率的现代预测模型的表现。

方法

本回顾性队列研究分析了国家外科质量改进计划的数据。我们纳入了 2014 年至 2019 年期间接受肝切除术的患者。评估了 VOCAL-Penn、MELD、MELD-Na、ALBI 和 Mayo 风险评分在术后 30 天死亡率方面的模型区分度和校准度。

结果

共有 15198 例患者接受了肝切除术,其中 249 例(1.6%)发生了 30 天术后死亡。与所有其他模型相比,VOCAL-Penn 评分具有最高的区分度(ROC 曲线下面积[AUC]为 0.74)。在有无肝硬化的患者中,VOCAL-Penn 评分同样优于其他模型(AUC 分别为 0.70 和 0.74)。

结论

与现有临床标准相比,VOCAL-Penn 评分在预测肝切除术后 30 天死亡率方面表现出更好的预测性能。