{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T22:52:53Z","timestamp":1792363973994,"version":"4.4.0"},"reference-count":16,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2013,1,25]],"date-time":"2013-01-25T00:00:00Z","timestamp":1359072000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Congestive Heart Failure"],"published-print":{"date-parts":[[2013,5]]},"abstract":"<jats:p>Despite current therapies and disease management approaches, rates of heart failure (<jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>) rehospitalization remain high. New tools are needed to assess preclinical (asymptomatic) pulmonary congestion to enable outpatient management. Hence, a novel monitoring system based on noninvasive remote dielectric sensing (<jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content>) technology was developed. Validation of the <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> technology was conducted in preclinical and clinical studies. In a porcine <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content> model, acute fluid overload followed by administration of diuretics were performed. Changes in <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> values were correlated to serial computed tomographic (<jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>) assessments of lung fluid concentrations. In hospitalized decompensated <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content> patients, changes in <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> values were correlated to net fluid balance changes. A nearly linear pattern between the changes in <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content> fluid concentration values was observed in 6 discrete experiments (<jats:styled-content style=\"fixed-case\">I<\/jats:styled-content>ntraclass correlation=0.95). Results from 24 patients demonstrated a reduction in <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> values of 17.53%\u00b111% throughout hospitalization, consistent with a reduction in pulmonary congestion. This finding strongly correlated with changes in net fluid balance (<jats:styled-content style=\"fixed-case\">P<\/jats:styled-content>earson correlation=0.86; 95% <jats:styled-content style=\"fixed-case\">c<\/jats:styled-content>onfidence <jats:styled-content style=\"fixed-case\">i<\/jats:styled-content>nterval, 0.68\u20130.94; <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>=0.74). These findings suggest that <jats:styled-content style=\"fixed-case\">R<\/jats:styled-content>e<jats:styled-content style=\"fixed-case\">DS<\/jats:styled-content> technology accurately quantifies lung fluid concentration and has potential for monitoring <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content> patients through hospitalization and possibly at home.<\/jats:p>","DOI":"10.1111\/chf.12021","type":"journal-article","created":{"date-parts":[[2013,1,25]],"date-time":"2013-01-25T14:07:19Z","timestamp":1359122839000},"page":"149-155","source":"Crossref","is-referenced-by-count":96,"title":["A Novel Approach to Monitoring Pulmonary Congestion in Heart Failure: Initial Animal and Clinical Experiences Using Remote Dielectric Sensing Technology"],"prefix":"10.1111","volume":"19","author":[{"given":"Offer","family":"Amir","sequence":"first","affiliation":[{"name":"Department of Cardiovascular Medicine Lady Davis Carmel Medical Center and the Ruth and Bruce Rappaport School of Medicine Technion\u2010Israel Institute of Technology Haifa Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Rappaport","sequence":"additional","affiliation":[{"name":"Sensible Medical Innovations Netanya Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barak","family":"Zafrir","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine Lady Davis Carmel Medical Center and the Ruth and Bruce Rappaport School of Medicine Technion\u2010Israel Institute of Technology Haifa Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William T.","family":"Abraham","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine Ohio State University Medical Center Columbus OH"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2013,1,25]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2008.04.037"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cardfail.2010.08.010"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cardfail.2008.06.005"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pcad.2009.11.005"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.296.18.2217"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0195-668X(02)00823-0"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.111.018473"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa0803563"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1010029"},{"key":"e_1_2_9_11_1","article-title":"Identifying patients at risk of death or hospitalisation due to worsening heart failure using decision tree analysis: evidence from the Trans\u2010European Network\u2010Home\u2010Care Management System (TEN\u2010HMS) study","author":"Zhang J","journal-title":"Int J Cardiol"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.111.043042"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(11)60101-3"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/41\/11\/001"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/41\/11\/002"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1186\/cc342"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.vascn.2005.10.005"}],"container-title":["Congestive Heart Failure"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fchf.12021","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/chf.12021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T03:07:37Z","timestamp":1697598457000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/chf.12021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1,25]]},"references-count":16,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,5]]}},"alternative-id":["10.1111\/chf.12021"],"URL":"https:\/\/doi.org\/10.1111\/chf.12021","archive":["Portico"],"relation":{},"ISSN":["1527-5299","1751-7133"],"issn-type":[{"value":"1527-5299","type":"print"},{"value":"1751-7133","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,25]]}}}