| Autor: |
Elton Dajti, Federico Ravaioli, Giovanni Marasco, Luigina Vanessa Alemanni, Luigi Colecchia, Alberto Ferrarese, Caterina Cusumano, Stefano Gemini, Amanda Vestito, Matteo Renzulli, Rita Golfieri, Davide Festi, Antonio Colecchia |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
The American journal of gastroenterology. 117(11) |
| ISSN: |
1572-0241 |
| Popis: |
A noninvasive diagnosis of clinically significant portal hypertension (CSPH) has important prognostic and therapeutic implications for patients with compensated advanced chronic liver disease. We aimed to validate and improve the available algorithms for the CSPH diagnosis by evaluating spleen stiffness measurement (SSM) in patients with compensated advanced chronic liver disease.This is a retrospective study including patients with liver stiffness measurement (LSM) ≥10 kPa, no previous decompensation, and available measurements of hepatic venous pressure gradient, LSM, and SSM by transient elastography referring to our center in Bologna. The diagnostic algorithms were adequate if negative and positive predictive values were90% when ruling out and ruling in CSPH, respectively; these models were validated in a cohort from Verona. The 5-year decompensation rate was reported.One hundred fourteen patients were included in the derivation cohort. The Baveno VII diagnostic algorithm (LSM ≤15 kPa + platelet count ≥150 × 10 9 /L to rule out CSPH and LSM25 kPa to rule in CSPH) was validated; however, 40%-60% of the patients remained in the gray zone. The addition of SSM (40 kPa) to the model significantly reduced the gray zone to 7%-15%, maintaining adequate negative and positive predictive values. The diagnostic algorithms were validated in a cohort of 81 patients from Verona. All first decompensation events occurred in the "rule-in" zone of the model including SSM.The addition of SSM significantly improves the clinical applicability of the algorithm based on LSM and platelet count for CSPH diagnosis. Our models can be used to noninvasively identify candidates for nonselective beta-blocker treatment and patients at a high risk of decompensation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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