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Predicting Clinically Significant Portal Hypertension in MASLD Using Routine Ultrasound and Clinical Data: A
Nebyu Yonas Shanka1,2, Chavdar S Pavlov1,3, Taisiia A Turankova1
1Department of Therapy, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia, mma.ru.
Identifying clinically significant portal hypertension (CSPH) in metabolic dysfunction-associated steatotic liver disease (MASLD) using routine tests is challenging. Current noninvasive methods show modest accuracy, requiring further development for clinical use.
Area of Science:
- Hepatology
- Gastroenterology
- Noninvasive Diagnostics
Background:
- Metabolic dysfunction-associated steatotic liver disease (MASLD) can lead to clinically significant portal hypertension (CSPH).
- Accurate noninvasive identification of CSPH in MASLD patients is crucial but remains difficult.
- CSPH is a key factor in adverse outcomes for MASLD patients.
Purpose of the Study:
- To assess the utility of routine ultrasound and clinical variables for identifying CSPH in adults with MASLD.
- To evaluate the performance of noninvasive markers in predicting CSPH (defined as HVPG ≥ 10 mmHg).
Main Methods:
- Retrospective cohort study of 218 adults with MASLD who underwent hepatic venous pressure gradient (HVPG) measurement.
- Evaluation of demographic, laboratory, routine ultrasound, and liver stiffness data.
- Application of logistic regression and machine learning models for CSPH prediction.
Main Results:
- CSPH was present in 44 (20.2%) patients.
- Patients with CSPH exhibited less favorable noninvasive profiles, particularly in liver stiffness and spleen length.
- Machine learning models showed modest predictive performance (AUC up to 0.67), with portal vein calibre and liver stiffness being independently associated with CSPH.
Conclusions:
- Routinely available ultrasound and clinical data have limited ability to identify CSPH in MASLD.
- Current noninvasive markers are independently associated with CSPH but insufficient for standalone clinical triage.
- Further refinement of MASLD-specific noninvasive prediction strategies is needed before clinical implementation.
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