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ArticleJHEP reports : innovation in hepatology2026

The qEEG-TIPS score: Development of a predictive model for recurrent overt hepatic encephalopathy after elective TIPS.

Dario Saltini, Lisa Zarantonello, Alberto Zanetto, Tomas Guasconi, Cristian Caporali, Antonio Piscopo, Andrea Salomé Velasco Mayorga, Marco Scoppettuolo, Fabiola Milosa, Rosina Maria Critelli and 9 more

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Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Dario SaltiniSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy.
Lisa ZarantonelloDepartment of Medicine - DIMED, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy.
Alberto ZanettoDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Italy Division of Interventional Radiology, University Hospital of Modena "Policlinico", Modena, Italy; Gastroenterology and Multivisceral Transplant Unit, Padova University Hospital, Italy.
Tomas GuasconiSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy.
Cristian CaporaliDivision of Interventional Radiology, University Hospital of Modena "Policlinico", Modena, Italy.
Antonio PiscopoSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy; Gastroenterology Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, Modena, Italy.
Andrea Salomé Velasco MayorgaSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy; Gastroenterology Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, Modena, Italy.
Marco ScoppettuoloSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy; Gastroenterology Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, Modena, Italy.
Fabiola MilosaEpatoGastro Lab - RBA-Labs CHIMOMO Department - University of Modena and Reggio Emilia, Modena, Italy.
Rosina Maria CritelliEpatoGastro Lab - RBA-Labs CHIMOMO Department - University of Modena and Reggio Emilia, Modena, Italy.
Filippo ScianòSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy.
Federico CasariDivision of Interventional Radiology, University Hospital of Modena "Policlinico", Modena, Italy.
Francesco AscariDivision of Interventional Radiology, University Hospital of Modena "Policlinico", Modena, Italy.
Marcello BianchiniSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy.
Antonio ColecchiaGastroenterology Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, Modena, Italy.
Melania GagginiInstitute of Clinical Physiology, National Research Council, Via G. Moruzzi 1, 56124 Pisa, Italy.
Francesco VizzuttiDepartment of Experimental and Clinical Medicine, University of Florence, Portal Hypertension Departmental Unit, Dipartimento Oncologico e di chirurgia ad indirizzo robotico, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Sara MontagneseDepartment of Medicine - DIMED, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy.
Filippo SchepisSevere Liver Diseases (M.E.C.) Departmental Unit, Department of Medical Specialties, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, European Reference Network on Rare Liver Disorders (ERN Rare- Liver), Modena, Italy; EpatoGastro Lab - RBA-Labs CHIMOMO Department - University of Modena and Reggio Emilia, Modena, Italy. Electronic address: fschepis@unimore.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsOvert hepatic encephalopathy (OHE) continues to be the primary complication following transjugular intrahepatic portosystemic shunt (TIPS) placement. It significantly impairs patients' health-related quality of life, particularly in its recurrent and persistent forms, and may outweigh the benefits of the procedure. This study aimed to develop and internally validate a prognostic score incorporating quantified electroencephalography (qEEG) to predict the risk of post-TIPS recurrent OHE at 3 and 6 months.

methodsWe prospectively enrolled 161 consecutive patients with cirrhosis undergoing elective TIPS for refractory or recurrent ascites or secondary prophylaxis of variceal bleeding. All patients underwent qEEG assessment using validated spectral analysis criteria prior to TIPS placement. A multivariable Cox regression model was constructed to estimate the risk of recurrent OHE. Model performance was evaluated using time-dependent ROC curves, calibration plots, decision curve analysis, and internal validation via bootstrap resampling (B = 1,500).

resultsIndependent predictors of recurrent OHE included age, serum albumin, prior OHE history, and qEEG alterations, which were incorporated into the novel qEEG-TIPS score. The time-dependent AUCs were 0.76 (95% CI 0.70-0.82) and 0.80 (95% CI 0.76-0.85) at 3 and 6 months, respectively. The score identified high-risk patients with a significantly greater incidence of recurrent OHE at 6 months (48% vs. 8% in low-risk patients, p <0.001). Internal validation yielded an optimism-corrected C-index of 0.74 (95% CI 0.69-0.84), indicating mild overfitting but good predictive stability. Decision curve analysis supported the clinical utility of the model.

conclusionsThe qEEG-TIPS score demonstrated good discrimination and calibration in predicting short-term risk of recurrent OHE after TIPS. This tool may assist in risk stratification and guide personalized management both before and after TIPS. IMPACT AND IMPLICATIONS: Recurrent overt hepatic encephalopathy (OHE) is the primary complication of transjugular intrahepatic portosystemic shunt (TIPS) in patients with cirrhosis, markedly reducing quality of life, increasing healthcare burden, and complicating clinical decision-making. This study introduces and internally validates the qEEG-TIPS score, a novel, non-invasive tool integrating quantified electroencephalography with clinical variables to predict the short-term risk of recurrent OHE after elective TIPS. These findings hold particular relevance for patients, hepatologists, and transplant teams as they enable more personalized risk assessment prior to TIPS and may guide decisions on prophylaxis, patient selection, and post-procedural monitoring. If externally validated, the qEEG-TIPS score could enhance clinical pathways by identifying high-risk patients for targeted interventions, supporting more cost-effective and patient-centered TIPS management strategies.

Indexed as

cirrhosiselectroencephalographyhealth related quality of lifehepatic encephalopathyportal hypertensionportosystemic shuntpredictive model

Identifiers

PMID41831393
PMCPMC13000493

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