{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T12:14:26Z","timestamp":1780920866622,"version":"3.54.1"},"reference-count":22,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"unspecified","delay-in-days":158,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Open Heart"],"accepted":{"date-parts":[[2026,5,29]]},"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Forrester classification remains a cornerstone for assessing haemodynamic status in heart failure, yet its clinical application is restricted by the invasiveness of right heart catheterisation. This study aimed to develop a novel, non-invasive and reproducible alternative by integrating bioelectrical impedance analysis (BIA) and pulse wave analysis (PWA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      We conducted a retrospective study of consecutive patients admitted to our cardiology department between January 2020 and December 2022 who underwent PWA within 1\u2009month of BIA. Systolic time intervals (STIs) were calculated as the ratio of pre-ejection period to left ventricular ejection time using PWA. Patients were classified into four virtual Forrester profiles\u2014\n                      <jats:italic>Warm and Dry<\/jats:italic>\n                      ,\n                      <jats:italic>Warm and Wet<\/jats:italic>\n                      ,\n                      <jats:italic>Cold and Dry<\/jats:italic>\n                      , and\n                      <jats:italic>Cold and Wet<\/jats:italic>\n                      \u2014based on STI and extracellular water\/total body water thresholds. The primary endpoint was major adverse cardiovascular events (MACEs).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 558 patients with available STI and BIA data, 161, 209, 90 and 98 were classified as\n                      <jats:italic>Warm and Dry<\/jats:italic>\n                      ,\n                      <jats:italic>Warm and Wet<\/jats:italic>\n                      ,\n                      <jats:italic>Cold and Dry<\/jats:italic>\n                      , and\n                      <jats:italic>Cold and Wet<\/jats:italic>\n                      , respectively.\n                      <jats:italic>Wet<\/jats:italic>\n                      groups were older, had higher B-type natriuretic peptide, lower skeletal muscle mass and haemoglobin and more renal impairment, whereas\n                      <jats:italic>Cold<\/jats:italic>\n                      groups exhibited lower left ventricular ejection fraction. During follow-up, 84 MACEs occurred. Kaplan-Meier analysis showed significant differences in MACE-free survival among the four profiles (log-rank p=0.01), with\n                      <jats:italic>Warm and Dry<\/jats:italic>\n                      having the most favourable prognosis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The proposed virtual Forrester profiling integrating BIA and PWA provides a practical, quantitative and reproducible framework for non-invasive haemodynamic assessment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/openhrt-2026-004041","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T11:55:25Z","timestamp":1780919725000},"page":"e004041","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Complementary cardiac functional assessment using systolic time intervals and bioelectrical impedance analysis"],"prefix":"10.1136","volume":"13","author":[{"given":"Tomoaki","family":"Nishikawa","sequence":"first","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0827-874X","authenticated-orcid":false,"given":"Akinori","family":"Higaki","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keisho","family":"Kurokawa","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arisa","family":"Abe","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rikako","family":"Horie","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryo","family":"Miyabe","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhisa","family":"Nakao","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomoki","family":"Fujisawa","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuke","family":"Akazawa","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toru","family":"Miyoshi","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Kawakami","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haruhiko","family":"Higashi","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunsuke","family":"Tamaki","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuhisa","family":"Nishimura","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, 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