{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T19:22:38Z","timestamp":1790018558038,"version":"4.0.1"},"reference-count":21,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T00:00:00Z","timestamp":1726185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background: The severity of systemic congestion is associated with increased portal vein flow pulsatility (PVP). Aim: To determine the usefulness of PVP as a marker of decongestion and prognosis in acute decompensated heart failure (ADHF) patients. Methods: 105 patients, 60% of whom were men, were hospitalized with ADHF, and their PVP index (PVPI) was calculated (maximum velocity\u2013minimum velocity\/maximum velocity) \u00d7 100 on admission and before discharge, along with their EVEREST score, inferior vena cava diameter (IVC), NT-proBNP, serum sodium, and glomerular filtration rate. A PVPI \u2265 50% was defined as a marker of systemic congestion. After treatment with loop diuretics, a decrease in PVPI of &gt;50% before discharge was considered a marker of decongestion The patients were classified into two groups (G): G1-PVPI decrease \u2265 50% (54 patients) and G2-PVPI decrease &lt; 50% (51 patients). Results: At discharge, compared to G2, G1 patients had lower mean PVPI (14.2 vs. 38.9; p &lt; 0.001), higher serum Na (138 vs. 132 mmol\/L, p = 0.03), and a higher number of patients with a significant (&gt;30%) NT-proBNP decrease (42 vs. 27, p = 0.007). PVPI correlated with IVC (r = 0.55, p &lt; 0.001), NT-proBNP (r = 0.21, p = 0.04), and serum Na (r = \u22120.202, p = 0.04). A total of 55% of patients had worsening renal failure (G1 63% vs. G2 48%, p = 0.17). After 90 days, G2 patients had higher mortality (27.45% vs. 3.7 p = 0.001) and rehospitalization (49.01% vs. 33.33%, p &lt; 0.001). In multivariate regression analysis, PVPI was an independent predictor of rehospitalization (OR 1.05, 95% CI 1.00\u20131.10, p = 0.048). Conclusions: Portal vein flow pulsatility, a meaningful marker of persistent subclinical congestion, is related to short-term prognosis in ADHF patients.<\/jats:p>","DOI":"10.3390\/diagnostics14182029","type":"journal-article","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T05:31:44Z","timestamp":1726205504000},"page":"2029","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Portal Vein Pulsatility: A Valuable Approach for Monitoring Venous Congestion and Prognostic Evaluation in Acute Decompensated Heart Failure"],"prefix":"10.3390","volume":"14","author":[{"given":"Mihai","family":"Grigore","sequence":"first","affiliation":[{"name":"Internal Medicine and Cardiology Department, Carol Davila University of Medicine and Pharmacy, \u201cProf. Dr. Theodor Burghele\u201d Clinical Hospital, 020021 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3187-3424","authenticated-orcid":false,"given":"Andreea-Maria","family":"Grigore","sequence":"additional","affiliation":[{"name":"Carol Davila University of Medicine and Pharmacy, Cardiology Department Colentina Clinical Hospital, 020021 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adriana-Mihaela","family":"Ilie\u0219iu","sequence":"additional","affiliation":[{"name":"Internal Medicine and Cardiology Department, Carol Davila University of Medicine and Pharmacy, \u201cProf. Dr. Theodor Burghele\u201d Clinical Hospital, 020021 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1016\/j.jchf.2022.05.013","article-title":"Pathophysiologic Processes and Novel Biomarkers Associated with Congestion in Heart Failure","volume":"10","author":"Pandhi","year":"2022","journal-title":"JACC Heart Fail."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.jchf.2022.06.008","article-title":"Are We Getting Any Closer to Understanding Congestion?","volume":"10","author":"Khan","year":"2022","journal-title":"JACC Heart Fail."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1002\/ejhf.2032","article-title":"Ultrasound imaging of congestion in heart failure: Examinations beyond the heart","volume":"23","author":"Pellicori","year":"2021","journal-title":"Eur. 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