Dajti Elton, Ravaioli Federico, Zykus Romanas, Rautou Pierre-Emmanuel, Elkrief Laure, Grgurevic Ivica, Stefanescu Horia, Hirooka Masashi, Fraquelli Mirella, Rosselli Matteo, Chang Pik Eu Jason, Piscaglia Fabio, Reiberger Thomas, Llop Elba, Mueller Sebastian, Marasco Giovanni, Berzigotti Annalisa, Colli Agostino, Festi Davide, Colecchia Antonio
Gastroenterology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, European Reference Network on Hepatological Diseases, Bologna, Italy; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Department of Medical Specialities, University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy.
Lancet Gastroenterol Hepatol. 2023 Sep;8(9):816-828. doi: 10.1016/S2468-1253(23)00150-4. Epub 2023 Jul 18.
The diagnosis of clinically significant portal hypertension is crucial for prognosis and treatment guidance in patients with compensated advanced chronic liver disease (ACLD). Spleen stiffness measurement (SSM) might improve the non-invasive diagnosis of clinically significant portal hypertension, but previous studies have reported heterogeneous SSM cutoffs. We aimed to evaluate the accuracy of SSM and SSM-based algorithms in this setting.
In this systematic review and individual patient data meta-analysis, we searched PubMed, Embase, Scopus, Web of Science, and the Cochrane Library from database inception to Dec 31, 2022, for articles, abstracts, and letters, with no restrictions on language. Cross-sectional studies reporting hepatic venous pressure gradient and SSM by different techniques (transient elastography; two-dimensional shear-wave elastography [2D-SWE]; point shear-wave elastography [p-SWE]) in adults (≥18 years) with compensated ACLD were eligible for inclusion. The main outcome was the diagnostic performance of two SSM-based algorithms, with the Baveno VII model as a reference, evaluating sensitivity and specificity, as well as summary negative predictive values (NPVs) and positive predictive values (PPVs). In the Baveno VII model, clinically significant portal hypertension was ruled out if patients had a liver stiffness measurement (LSM) of 15 kPa or less and a platelet count of 150 × 10 platelets per L or higher and ruled in if they had an LSM of greater than 25 kPa. The two SSM-based models combined these same cutoffs with additional criteria. In the Baveno VII-SSM single cutoff model, clinically significant portal hypertension was ruled out if at least two of the following were present: LSM of 15 kPa or less, platelet count of 150 × 10 platelets per L or higher, and SSM of 40 kPa or less; and ruled in if at least two were present: LSM of greater than 25 kPa, platelet count of less than 150 × 10 platelets per L, and SSM of greater than 40 kPa. The Baveno VII-SSM dual cutoff model used the same criteria, but with a cutoff of SSM of less than 21 kPa to rule out, and greater than 50 kPa to rule in, clinically significant portal hypertension. This study is registered with PROSPERO, CRD42019127164.
Of the 44 records assessed for eligibility, 17 studies (with 1245 patients) were included in the meta-analysis. In the transient elastography cohort (n=600), the Baveno VII algorithm was validated for both ruling out (NPV 100%, 95% CI 64-100; sensitivity 100%, 95% CI 70-100) and ruling in (PPV 95%, 85-98; specificity 94%, 95% CI 87-97) clinically significant portal hypertension, but the proportion of patients with indeterminate results (grey zone) was 48% (95% CI 44-52); 57% (95% CI 52-62) of patients with clinically significant portal hypertension were included in the rule-in zone. The Baveno VII-SSM dual cutoff model had adequate NPV (98%, 95% CI 58-100; sensitivity 100%, 95% CI 91-100) and PPV (93%, 95% CI 84-97; specificity 89%, 95% CI 84-93), with 32% (95% CI 28-36) of patients in the grey zone; 76% (95% CI 72-80) of the patients with clinically significant portal hypertension were in the rule-in zone. The Baveno VII-SSM single cutoff model had a sensitivity of 93% (95% CI 85-97) and a NPV of 85% (95% CI 60-96) for ruling out, and a specificity of 86% (95% CI 80-91) and a PPV of 92% (95% CI 83-95) for ruling in, clinically significant portal hypertension. 88% (95% CI 84-91) of patients with clinically significant portal hypertension were included in the rule-in zone and 9% (95% CI 7-12) of patients were in the grey zone. In the 2D-SWE cohort (n=225), all three algorithms could safely rule in clinically significant portal hypertension with adequate PPV (≥90%), but NPV was inadequate for ruling out clinically significant portal hypertension. Insufficient data were available to evaluate the performance of SSM assessed by p-SWE. Heterogeneity was low (I<25%) for most estimates.
Algorithms combining Baveno VII criteria with SSM showed good performance and reduced the diagnostic grey zone for clinically significant portal hypertension compared with Baveno VII criteria alone. Future studies should evaluate whether SSM-based diagnosis allows for the identification of patients who would benefit from non-selective β-blocker treatment.
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对于代偿期晚期慢性肝病(ACLD)患者,诊断具有临床意义的门静脉高压对于预后判断和治疗指导至关重要。脾脏硬度测量(SSM)可能会改善具有临床意义的门静脉高压的无创诊断,但先前的研究报告了SSM临界值的异质性。我们旨在评估在这种情况下SSM及基于SSM的算法的准确性。
在这项系统评价和个体患者数据荟萃分析中,我们检索了从数据库建立至2022年12月31日的PubMed、Embase、Scopus、Web of Science和Cochrane图书馆,以查找文章、摘要和信函,对语言无限制。报告了通过不同技术(瞬时弹性成像;二维剪切波弹性成像[2D-SWE];点剪切波弹性成像[p-SWE])测量的肝静脉压力梯度和SSM的横断面研究纳入了≥18岁的代偿期ACLD成人患者。主要结局是两种基于SSM的算法的诊断性能,以Baveno VII模型作为参考,评估敏感性和特异性,以及汇总阴性预测值(NPV)和阳性预测值(PPV)。在Baveno VII模型中,如果患者的肝脏硬度测量值(LSM)为15 kPa或更低且血小板计数为每升150×10⁹个血小板或更高,则排除具有临床意义的门静脉高压;如果LSM大于25 kPa,则判定为具有临床意义的门静脉高压。两种基于SSM的模型将这些相同的临界值与其他标准相结合。在Baveno VII-SSM单临界值模型中,如果满足以下至少两项,则排除具有临床意义的门静脉高压:LSM为15 kPa或更低、血小板计数为每升150×10⁹个血小板或更高、SSM为40 kPa或更低;如果满足以下至少两项,则判定为具有临床意义的门静脉高压:LSM大于25 kPa、血小板计数低于每升150×10⁹个血小板、SSM大于40 kPa。Baveno VII-SSM双临界值模型使用相同的标准,但排除具有临床意义的门静脉高压的SSM临界值为小于21 kPa,判定为具有临床意义的门静脉高压的SSM临界值为大于50 kPa。本研究已在PROSPERO注册,注册号为CRD42019127164。
在评估的44条记录中,有17项研究(1245例患者)纳入荟萃分析。在瞬时弹性成像队列(n = 600)中,Baveno VII算法在排除(NPV 100%,95%CI 64 - 100;敏感性100%,95%CI 70 - 100)和判定(PPV 95%,85 - 98;特异性94%,95%CI 87 - 97)具有临床意义的门静脉高压方面得到验证,但结果不确定(灰色区域)的患者比例为48%(95%CI 44 - 52);57%(95%CI 52 - 62)具有临床意义的门静脉高压患者被纳入判定区域。Baveno VII-SSM双临界值模型具有足够的NPV(98%,95%CI 58 - 100;敏感性100%,95%CI 91 - 100)和PPV(93%,95%CI 84 - 97;特异性89%,95%CI 84 - 93),灰色区域患者比例为32%(95%CI 28 - 36);76%(95%CI 72 - 80)具有临床意义的门静脉高压患者在判定区域。Baveno VII-SSM单临界值模型排除具有临床意义的门静脉高压的敏感性为93%(95%CI 85 - 97),NPV为85%(95%CI 60 - 96),判定具有临床意义的门静脉高压的特异性为86%(95%CI 80 - 91),PPV为92%(95%CI 83 - 95)。88%(95%CI 84 - 91)具有临床意义的门静脉高压患者被纳入判定区域,9%(95%CI 7 - 12)的患者在灰色区域。在2D-SWE队列(n = 225)中,所有三种算法都可以通过足够的PPV(≥90%)安全地判定具有临床意义的门静脉高压,但NPV不足以排除具有临床意义的门静脉高压。现有数据不足以评估通过p-SWE评估的SSM性能。大多数估计值的异质性较低(I²<25%)。
与单独的Baveno VII标准相比,将Baveno VII标准与SSM相结合的算法表现良好,并减少了具有临床意义的门静脉高压的诊断灰色区域。未来的研究应评估基于SSM的诊断是否能够识别出可能从非选择性β受体阻滞剂治疗中获益的患者。
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