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终末期肝病模型评分对死亡率预测的性能及病因的潜在作用。

Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology.

机构信息

Gatroenterology Unit, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy; Gastroenterology Unit, Clinica La Maddalena, Palermo, Italy.

Radiology Service, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS-ISMETT), Palermo, Italy.

出版信息

J Hepatol. 2021 Dec;75(6):1355-1366. doi: 10.1016/j.jhep.2021.07.018. Epub 2021 Jul 30.

Abstract

BACKGROUND & AIMS: Although the discriminative ability of the model for end-stage liver disease (MELD) score is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discriminative performance and calibration of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intrahepatic portosystemic shunt (TIPS); classic MELD-Mayo; and MELD-UNOS, used by the United Network for Organ Sharing (UNOS). We also explored recalibrating and updating the model.

METHODS

In total, 776 patients who underwent elective TIPS (TIPS cohort) and 445 unselected patients (non-TIPS cohort) were included. Three, 6 and 12-month mortality predictions were calculated by the 3 MELD versions: discrimination was assessed by c-statistics and calibration by comparing deciles of predicted and observed risks. Cox and Fine and Grey models were used for recalibration and prognostic analyses.

RESULTS

In the TIPS/non-TIPS cohorts, the etiology of liver disease was viral in 402/188, alcoholic in 185/130, and non-alcoholic steatohepatitis in 65/33; mean follow-up±SD was 25±9/19±21 months; and the number of deaths at 3-6-12 months was 57-102-142/31-47-99, respectively. C-statistics ranged from 0.66 to 0.72 in TIPS and 0.66 to 0.76 in non-TIPS cohorts across prediction times and scores. A post hoc analysis revealed worse c-statistics in non-viral cirrhosis with more pronounced and significant worsening in the non-TIPS cohort. Calibration was acceptable with MELD-TIPS but largely unsatisfactory with MELD-Mayo and -UNOS whose performance improved much after recalibration. A prognostic analysis showed that age, albumin, and TIPS indication might be used to update the MELD.

CONCLUSIONS

In this validation study, the performance of the MELD score was largely unsatisfactory, particularly in non-viral cirrhosis. MELD recalibration and candidate variables for an update to the MELD score are proposed.

LAY SUMMARY

While the discriminative performance of the model for end-stage liver disease (MELD) score is credited to be fair to good, its calibration, the correspondence of observed to predicted mortality, is still unsettled. We found that application of 3 different versions of the MELD in 2 independent cirrhosis cohorts yielded largely imprecise mortality predictions particularly in non-viral cirrhosis. Thus, we propose a recalibration and suggest candidate variables for an update to the model.

摘要

背景与目的

尽管模型用于终末期肝病(MELD)评分的区分能力通常被认为是可以接受的,但它的校准仍然不清楚。在一项验证研究中,我们评估了 3 种模型的区分性能和校准:原始 MELD-TIPS,用于预测经颈静脉肝内门体分流术(TIPS)后的生存率;经典 MELD-Mayo;以及美国器官共享网络(UNOS)使用的 MELD-UNOS。我们还探索了重新校准和更新模型。

方法

共纳入 776 例接受择期 TIPS 的患者(TIPS 队列)和 445 例未选择的患者(非 TIPS 队列)。通过 3 种 MELD 版本计算 3、6 和 12 个月的死亡率预测:通过 c 统计量评估区分度,通过比较预测风险和观察风险的十分位数来评估校准度。使用 Cox 和 Fine-Grey 模型进行重新校准和预后分析。

结果

在 TIPS/非 TIPS 队列中,肝脏疾病的病因在 402/188 例中为病毒性,在 185/130 例中为酒精性,在 65/33 例中为非酒精性脂肪性肝炎;平均随访时间±标准差分别为 25±9/19±21 个月;3-6-12 个月的死亡人数分别为 57-102-142/31-47-99。在 TIPS 和非 TIPS 队列中,各预测时间和评分的 c 统计量范围为 0.66 至 0.72。事后分析显示,非病毒性肝硬化的 c 统计量较差,且非 TIPS 队列的恶化更为明显和显著。MELD-TIPS 的校准是可以接受的,但 MELD-Mayo 和 -UNOS 的校准则差强人意,重新校准后其性能有了很大提高。预后分析显示,年龄、白蛋白和 TIPS 适应证可用于更新 MELD。

结论

在这项验证研究中,MELD 评分的性能基本不能令人满意,特别是在非病毒性肝硬化中。提出了 MELD 的重新校准和更新候选变量。

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