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Portal vein velocity and its dynamics: a potentially useful tool for detecting clinically silent transjugular intrahepatic porto-systemic shunt dysfunction using Doppler ultrasonography.

Rareș Crăciun | Horia Ștefănescu | Oana Nicoară-Farcău | Petra Fischer | Andreea Fodor | Marcel Tanţău | Corina Radu | Zeno Spârchez | Bogdan Procopeţ
Ultrasound international open | 2024

Background   Ultrasound (US) surveillance for transjugular intrahepatic portosystemic shunt (TIPS) dysfunction has yet to be standardized, as clear-cut criteria have not been conventionally defined. This study evaluated the role of US-based parameters in detecting hemodynamic TIPS dysfunction (HD). Methods   We included consecutive patients treated with TIPS. All patients were scheduled within the first six weeks after the procedure for TIPS revision, comprised of a Doppler US exam and invasive hemodynamic reassessment. Clinical TIPS dysfunction (CD) was defined as symptom recurrence, while HD was defined by a portal pressure gradient (PPG)≥12 mmHg. The predictive capabilities of Doppler US for predicting TIPS dysfunction were tested against the hemodynamic gold standard. Results   86 patients were included. Secondary prophylaxis of variceal bleeding was the main indication for TIPS in 72 patients (83.7%), while 27 (31.4%) had refractory ascites. HD occurred in 37 cases (43%), of which 25 patients (67.5%) had no CD. Patients with HD had a significantly lower portal vein velocity (PVV): 35 (20-45) cm/s vs. 40.5 (35-50) cm/s, p=0.02. Compared to the immediate post-TIPS assessment, the patients without HD had a ΔPVV of 6.08±19.8 cm/s vs. a decrease of - 8.2±20.2 cm/s in HD (p=0.04). Using a cut-off value of 40.5 cm/s, PVV had an AUROC of 0.705 for predicting HD, while the addition of ΔPVV (cut-off 9.5 cm/s) improved the AUROC to 0.78. Conclusion   Despite adequate symptom control, a considerable percentage of patients have a post-TIPS PPG≥12 mmHg. The dynamic assessment of PVV and its temporal dynamics can reliably predict TIPS dysfunction.

Pubmed ID: 40012692

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RRID:SCR_009181

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)

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