{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:04:52Z","timestamp":1760148292436,"version":"build-2065373602"},"reference-count":9,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T00:00:00Z","timestamp":1681516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>With the introduction of several novel medications, including angiotensin receptor neprilysin inhibitors and sodium-glucose cotransporter 2 inhibitors, in addition to conventional beta-blockers and mineralocorticoid receptor antagonists, mortality and morbidity in patients with heart failure improved significantly [...]<\/jats:p>","DOI":"10.3390\/jcm12082889","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T02:02:59Z","timestamp":1681696979000},"page":"2889","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["How to Assess the Degree of Pulmonary Congestion in Patients with Congestive Heart Failure"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7294-7637","authenticated-orcid":false,"given":"Teruhiko","family":"Imamura","sequence":"first","affiliation":[{"name":"Second Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mauro, C., Chianese, S., Cocchia, R., Arcopinto, M., Auciello, S., Capone, V., Carafa, M., Carbone, A., Caruso, G., and Castaldo, R. (2023). Acute Heart Failure: Diagnostic-Therapeutic Pathways and Preventive Strategies-A Real-World Clinician\u2019s Guide. J. Clin. Med., 12.","DOI":"10.3390\/jcm12030846"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ruocco, G., Feola, M., Nuti, R., Luschi, L., Evangelista, I., and Palazzuoli, A. (2019). Loop Diuretic Administration in Patients with Acute Heart Failure and Reduced Systolic Function: Effects of Different Intravenous Diuretic Doses and Diuretic Response Measurements. J. Clin. Med., 8.","DOI":"10.3390\/jcm8111854"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Vecchi, A.L., Muccioli, S., Marazzato, J., Mancinelli, A., Iacovoni, A., and De Ponti, R. (2021). Prognostic Role of Subclinical Congestion in Heart Failure Outpatients: Focus on Right Ventricular Dysfunction. J. Clin. Med., 10.","DOI":"10.3390\/jcm10225423"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Imamura, T., Gonoi, W., Hori, M., Ueno, Y., Narang, N., Onoda, H., Tanaka, S., Nakamura, M., Kataoka, N., and Ushijima, R. (2021). Validation of Noninvasive Remote Dielectric Sensing System to Quantify Lung Fluid Levels. J. Clin. Med., 11.","DOI":"10.3390\/jcm11010164"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Imamura, T., Hori, M., Ueno, Y., Narang, N., Onoda, H., Tanaka, S., Nakamura, M., Kataoka, N., Sobajima, M., and Fukuda, N. (2022). Association between Lung Fluid Levels Estimated by Remote Dielectric Sensing Values and Invasive Hemodynamic Measurements. J. Clin. Med., 11.","DOI":"10.3390\/jcm11051208"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Palazzuoli, A., Evangelista, I., Beltrami, M., Pirrotta, F., Tavera, M.C., Gennari, L., and Ruocco, G. (2022). Clinical, Laboratory and Lung Ultrasound Assessment of Congestion in Patients with Acute Heart Failure. J. Clin. Med., 11.","DOI":"10.3390\/jcm11061642"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Izumida, T., Imamura, T., Hori, M., Nakagaito, M., Onoda, H., Tanaka, S., Ushijima, R., and Kinugawa, K. (2023). Correlation between Remote Dielectric Sensing and Chest X-ray to Assess Pulmonary Congestion. J. Clin. Med., 12.","DOI":"10.3390\/jcm12020598"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Baudry, G., Bourdin, J., Mocan, R., Hugon-Vallet, E., Pozzi, M., Jobbe-Duval, A., Paulo, N., Rossignol, P., Sebbag, L., and Girerd, N. (2022). Prognosis of Advanced Heart Failure Patients according to Their Hemodynamic Profile Based on the Modified Forrester Classification. J. Clin. Med., 11.","DOI":"10.3390\/jcm11133663"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Imamura, T., Izumida, T., Narang, N., Onoda, H., Nakagaito, M., Tanaka, S., Nakamura, M., Ushijima, R., Fujioka, H., and Kakeshita, K. (2023). Association between Remote Dielectric Sensing and Estimated Plasma Volume to Assess Body Fluid Distribution. J. Clin. Med., 12.","DOI":"10.3390\/jcm12020463"}],"container-title":["Journal of Clinical Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2077-0383\/12\/8\/2889\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:16:29Z","timestamp":1760123789000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2077-0383\/12\/8\/2889"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,15]]},"references-count":9,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["jcm12082889"],"URL":"https:\/\/doi.org\/10.3390\/jcm12082889","relation":{},"ISSN":["2077-0383"],"issn-type":[{"type":"electronic","value":"2077-0383"}],"subject":[],"published":{"date-parts":[[2023,4,15]]}}}