{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T02:59:42Z","timestamp":1790132382011,"version":"4.0.1"},"reference-count":71,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":3,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nephrology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Ultrafiltration during hemodialysis is the most hemodynamically stressful intervention dialysis patients endure, yet its prescription relies on interdialytic weight gain and clinical gestalt. Rates exceeding 13\u2009mL\/kg\/h carry substantially higher cardiovascular mortality, and recurrent intradialytic hypotension drives myocardial stunning, accelerated loss of residual kidney function, and progressive cardiac dysfunction. Existing volume management tools, including bioimpedance spectroscopy, relative blood volume monitoring, and even lung ultrasound, address fragments of this problem but none integrates the two questions that should govern every prescription: how much volume can be removed, and how fast? This review synthesizes principles from critical care hemodynamics and nephrology to propose an integrated ultrasound\u2010guided framework. We apply the Frank\u2010Starling relationship to volume removal, translating the principles of active fluid removal to maintenance hemodialysis. We approach the safety of fluid removal in terms of preload responsiveness: removal is best tolerated when the patient is preload\u2010unresponsive, operating on the flat portion of the cardiac function curve. The framework uses a rapid screen (inferior vena cava diameter and lung ultrasound) to identify patients near dry weight versus those requiring further assessment. When congestion is present, a two\u2010axis decision matrix combines venous congestion quantification (portal vein pulsatility) with preload dependence testing (passive leg raising with a stroke volume surrogate) to guide both volume target and removal rate. Preload responsiveness is defined by a rise of at least 10% to 12% in the left ventricular outflow tract velocity\u2010time integral after passive leg raising, and significant venous congestion by an inferior vena cava diameter of 2\u2009cm or greater with portal vein pulsatility; preload\u2010unresponsive patients without congestion may tolerate rates toward the 13\u2009mL\/kg\/h safety ceiling, whereas preload\u2010responsive or severely congested patients warrant slower removal over extended or additional sessions. We propose a two\u2010tiered protocol adaptable to diverse practice settings. This integrated framework has not been tested prospectively and should be regarded as hypothesis\u2010generating; that said, the individual components are validated and the physiological rationale is sound, and the potential to reduce ultrafiltration\u2010related morbidity, from intradialytic symptoms to myocardial stunning and residual function loss, is substantial.<\/jats:p>","DOI":"10.1111\/nep.70272","type":"journal-article","created":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T06:41:30Z","timestamp":1788590490000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Physiologically\u2010Guided Ultrafiltration: A Proposed Ultrasound Framework for Individualized Volume Removal During Hemodialysis"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7511-2574","authenticated-orcid":false,"given":"Sharad","family":"Patel","sequence":"first","affiliation":[{"name":"Department of Medicine, Division of Nephrology Cooper University Hospital, Cooper Medical School of Rowan University  Camden New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arwa","family":"Bootwala","sequence":"additional","affiliation":[{"name":"Independent Researcher  Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2562-746X","authenticated-orcid":false,"given":"Adam","family":"Green","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Critical Care Medicine Cooper University Hospital, Cooper Medical School of Rowan University  Camden New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"issue":"12","key":"e_1_2_13_2_1","first-page":"S16","article-title":"Epidemiology of Cardiovascular Disease in Chronic Renal Disease","volume":"9","author":"Foley R. 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