{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:20:55Z","timestamp":1777530055473,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Joint Project of Chongqing Health Commission and Science and Technology Bureau","award":["2022MSXM115"],"award-info":[{"award-number":["2022MSXM115"]}]},{"name":"Project for Young Talented Doctors of Xinqiao Hospital Affiliated to Army Medical University","award":["2022YQB001"],"award-info":[{"award-number":["2022YQB001"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82000295"],"award-info":[{"award-number":["82000295"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cardiovasc Pharmacol Ther"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:p>Backgrounds: Our study aimed to identify and predict patients with heart failure (HF) taking novel-dose Sacubitril\/Valsartan (S\/V) at risk for all-cause readmission, as well as investigate the possible role of left ventricular reverse remodeling (LVRR). Methods and results: There were 464 patients recruited from December 2017 to September 2021 in our hospital with a median follow-up of 660 days (range, 17-1494). Competing risk analysis with Gray's Test showed statistically significant differences in all-cause readmission ( p-value&lt;\u2009.001) across the three different dose groups. Models 1 and 2 were developed based on the results of univariable competing risk analysis, least absolute shrinkage and selection operator approach, backward stepwise regression, and multivariable competing risk analysis. The internal verification (data-splitting method) indicated that Model 1 had better discrimination, calibration, and clinical utility. The corresponding nomogram showed that patients aged 75 years and above, or taking the lowest-dose S\/V (\u226450\u2005mg twice a day), or diagnosed with ventricular tachycardia, or valvular heart disease, or chronic obstructive pulmonary disease, or diabetes mellitus were at the highest risk of all-cause readmission. In the causal mediation analysis, LVRR was considered as a critical mediator that negatively affected the difference of novel-dose S\/V in readmission. Conclusions: A significant association was detected between novel-dose S\/V and all-cause readmission in HF patients, in part negatively mediated by LVRR. The web-based nomogram could provide individual prediction of all-cause readmission in HF patients receiving novel-dose S\/V. The effects of different novel-dose S\/V are still needed to be explored further in the future.<\/jats:p>","DOI":"10.1177\/10742484231219603","type":"journal-article","created":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T09:16:21Z","timestamp":1702631781000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Hospital Readmissions in Patients Receiving Novel-Dose Sacubitril\/Valsartan Therapy: A Competing-Risk, Causal Mediation Analysis"],"prefix":"10.1177","volume":"28","author":[{"given":"Changchun","family":"Hou","sequence":"first","affiliation":[{"name":"Department of Cardiology, Xinqiao Hospital, Army Medical University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinxin","family":"Hao","sequence":"additional","affiliation":[{"name":"Clinical Research Center, Xinqiao Hospital, Army Medical University, Chongqing, 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