{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:32:35Z","timestamp":1740105155101,"version":"3.37.3"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["American Heart Journal"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.ahj.2024.03.005","type":"journal-article","created":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:14:04Z","timestamp":1710346444000},"page":"69-85","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Predicting the risk of 1-year mortality among patients hospitalized for acute heart failure in China"],"prefix":"10.1016","volume":"272","author":[{"given":"Lihua","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4232-8699","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiqian","family":"Huo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangda","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanchen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lubi","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingkuo","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boxuan","family":"Pu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8840-8638","authenticated-orcid":false,"given":"Jing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ahj.2024.03.005_bib0001","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1001\/jama.2023.2020","article-title":"Heart failure with preserved ejection fraction: a review","volume":"329","author":"Redfield","year":"2023","journal-title":"JAMA"},{"key":"10.1016\/j.ahj.2024.03.005_bib0002","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1038\/nrcardio.2017.65","article-title":"Epidemiology of heart failure with preserved ejection fraction","volume":"14","author":"Dunlay","year":"2017","journal-title":"Nat Rev Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0003","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ahj.2004.08.005","article-title":"Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the acute decompensated heart failure national registry (adhere)","volume":"149","author":"Adams","year":"2005","journal-title":"Am Heart J"},{"key":"10.1016\/j.ahj.2024.03.005_bib0004","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ijcard.2015.08.187","article-title":"Ahead score\u2013long-term risk classification in acute heart failure","volume":"202","author":"Spinar","year":"2016","journal-title":"Int J Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0005","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1093\/eurheartj\/ehs337","article-title":"Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies","volume":"34","author":"Pocock","year":"2013","journal-title":"Eur Heart J"},{"key":"10.1016\/j.ahj.2024.03.005_bib0006","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1016\/j.cardfail.2022.02.012","article-title":"Predicting long-term mortality in patients with acute heart failure by using machine learning","volume":"28","author":"Park","year":"2022","journal-title":"J Card Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0007","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1093\/eurjpc\/zwac148","article-title":"Performance of current risk stratification models for predicting mortality in patients with heart failure: a systematic review and meta-analysis","volume":"29","author":"Siddiqi","year":"2022","journal-title":"Eur J Prev Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0008","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.ahj.2015.04.006","article-title":"Predictors of clinical outcomes in acute decompensated heart failure: acute study of clinical effectiveness of nesiritide in decompensated heart failure outcome models","volume":"170","author":"Khazanie","year":"2015","journal-title":"Am Heart J"},{"key":"10.1016\/j.ahj.2024.03.005_bib0009","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1161\/CIRCOUTCOMES.109.854877","article-title":"A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program","volume":"3","author":"Peterson","year":"2010","journal-title":"Circ Cardiovasc Qual Outcomes"},{"key":"10.1016\/j.ahj.2024.03.005_bib0010","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1002\/ejhf.785","article-title":"Development and validation of multivariable models to predict mortality and hospitalization in patients with heart failure","volume":"19","author":"Voors","year":"2017","journal-title":"Eur J Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0011","doi-asserted-by":"crossref","first-page":"2581","DOI":"10.1001\/jama.290.19.2581","article-title":"Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model","volume":"290","author":"Lee","year":"2003","journal-title":"JAMA"},{"key":"10.1016\/j.ahj.2024.03.005_bib0012","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jchf.2013.01.008","article-title":"Validated, electronic health record deployable prediction models for assessing patient risk of 30-day rehospitalization and mortality in older heart failure patients","volume":"1","author":"Eapen","year":"2013","journal-title":"JACC Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0013","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1001\/jama.293.5.572","article-title":"Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis","volume":"293","author":"Fonarow","year":"2005","journal-title":"JAMA"},{"key":"10.1016\/j.ahj.2024.03.005_bib0014","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1097\/MLR.0b013e3182881c8e","article-title":"Risk-adjusting hospital mortality using a comprehensive electronic record in an integrated health care delivery system","volume":"51","author":"Escobar","year":"2013","journal-title":"Med Care"},{"key":"10.1016\/j.ahj.2024.03.005_bib0015","doi-asserted-by":"crossref","first-page":"698","DOI":"10.7326\/M16-2726","article-title":"Predicting 30-day mortality for patients with acute heart failure in the emergency department: a cohort study","volume":"167","author":"Miro","year":"2017","journal-title":"Ann Intern Med"},{"key":"10.1016\/j.ahj.2024.03.005_bib0016","first-page":"429","article-title":"Factors influencing the predictive power of models for predicting mortality and\/or heart failure hospitalization in patients with heart failure","volume":"2","author":"Wouter","year":"2014","journal-title":"JACC: Heart Failure"},{"key":"10.1016\/j.ahj.2024.03.005_bib0017","doi-asserted-by":"crossref","first-page":"767","DOI":"10.7326\/0003-4819-156-11-201206050-00003","article-title":"Prediction of heart failure mortality in emergent care: a cohort study","volume":"156","author":"Lee","year":"2012","journal-title":"Ann Intern Med"},{"key":"10.1016\/j.ahj.2024.03.005_bib0018","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.jacc.2008.04.028","article-title":"Predictors of in-hospital mortality in patients hospitalized for heart failure: insights from the organized program to initiate lifesaving treatment in hospitalized patients with heart failure (OPTIMIZE-HF)","volume":"52","author":"Abraham","year":"2008","journal-title":"J Am Coll Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0019","doi-asserted-by":"crossref","first-page":"1372","DOI":"10.1093\/eurjhf\/hfq163","article-title":"Generic and disease-specific quality of life as a predictor of long-term mortality in heart failure","volume":"12","author":"Zuluaga","year":"2010","journal-title":"Eur J Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0020","unstructured":"Institution of Health Metrics and Evaluation. GBD result tool. Available from: https:\/\/vizhub.healthdata.org\/gbd-results\/. Accessed: 25 August, 2023."},{"key":"10.1016\/j.ahj.2024.03.005_bib0021","first-page":"e12884","article-title":"Characteristics, management, and outcomes of patients hospitalized for heart failure in China: the China peace retrospective heart failure study","volume":"8","author":"Yu","year":"2019","journal-title":"J Am Heart Assoc"},{"key":"10.1016\/j.ahj.2024.03.005_bib0022","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1002\/ehf2.12703","article-title":"A novel nomogram to predict all-cause readmission or death risk in Chinese elderly patients with heart failure","volume":"7","author":"Yang","year":"2020","journal-title":"ESC Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0023","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2021.761605","article-title":"A model for the prediction of mortality and hospitalization in Chinese heart failure patients","volume":"8","author":"Zhuang","year":"2021","journal-title":"Front Cardiovasc Med"},{"key":"10.1016\/j.ahj.2024.03.005_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2019.103340","article-title":"Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction","volume":"101","author":"Wang","year":"2020","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.ahj.2024.03.005_bib0025","doi-asserted-by":"crossref","first-page":"e25144","DOI":"10.1136\/bmjopen-2018-025144","article-title":"The China patient-centred evaluative assessment of cardiac events (peace) prospective heart failure study design","volume":"9","author":"Huang","year":"2019","journal-title":"BMJ Open"},{"key":"10.1016\/j.ahj.2024.03.005_bib0026","first-page":"760","article-title":"Chinese guidelines for the diagnosis and treatment of heart failure 2018","volume":"46","year":"2018","journal-title":"Zhonghua Xin Xue Guan Bing Za Zhi"},{"key":"10.1016\/j.ahj.2024.03.005_bib0027","first-page":"e240","article-title":"2013 ACCF\/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation\/American Heart Association task force on practice guidelines","volume":"128","author":"Yancy","year":"2013","journal-title":"Circulation"},{"key":"10.1016\/j.ahj.2024.03.005_bib0028","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1002\/ejhf.2333","volume":"24","author":"Mcdonagh","year":"2022","journal-title":"Eur J Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoenv.2021.112517","article-title":"Association between long-term exposure to ambient air pollution and clinical outcomes among patients with heart failure: findings from the China peace prospective heart failure study","volume":"222","author":"Shi","year":"2021","journal-title":"Ecotoxicol Environ Saf"},{"key":"10.1016\/j.ahj.2024.03.005_bib0030","doi-asserted-by":"crossref","first-page":"m441","DOI":"10.1136\/bmj.m441","article-title":"Calculating the sample size required for developing a clinical prediction model","volume":"368","author":"Riley","year":"2020","journal-title":"BMJ"},{"key":"10.1016\/j.ahj.2024.03.005_bib0031","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1001\/jama.2017.12126","article-title":"Discrimination and calibration of clinical prediction models: users' guides to the medical literature","volume":"318","author":"Alba","year":"2017","journal-title":"JAMA"},{"key":"10.1016\/j.ahj.2024.03.005_bib0032","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1001\/jamacardio.2022.5279","article-title":"Quantifying and interpreting the prediction accuracy of models for the time of a cardiovascular event-moving beyond C statistic: a review","volume":"8","author":"Wang","year":"2023","journal-title":"JAMA Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0033","first-page":"e895","article-title":"2022 AHA\/ACC\/HFSA guideline for the management of heart failure: a report of the American College of Cardiology\/American Heart Association joint committee on clinical practice guidelines","volume":"145","author":"Heidenreich","year":"2022","journal-title":"Circulation"},{"key":"10.1016\/j.ahj.2024.03.005_bib0034","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1016\/S1470-2045(21)00274-6","article-title":"Nomograms to predict outcomes after 177Lu-PSMA therapy in men with metastatic castration-resistant prostate cancer: an international, multicentre, retrospective study","volume":"22","author":"Gafita","year":"2021","journal-title":"Lancet Oncol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0035","doi-asserted-by":"crossref","first-page":"2534","DOI":"10.1200\/JCO.2015.65.5654","article-title":"Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use","volume":"34","author":"Kerr","year":"2016","journal-title":"J Clin Oncol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0036","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1001\/jama.2015.37","article-title":"Decision curve analysis","volume":"313","author":"Fitzgerald","year":"2015","journal-title":"JAMA"},{"key":"10.1016\/j.ahj.2024.03.005_bib0037","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1177\/0272989X06295361","article-title":"Decision curve analysis: a novel method for evaluating prediction models","volume":"26","author":"Vickers","year":"2006","journal-title":"Med Decis Making"},{"key":"10.1016\/j.ahj.2024.03.005_bib0038","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1001\/jamacardio.2022.1900","article-title":"Machine learning-based models incorporating social determinants of health vs traditional models for predicting in-hospital mortality in patients with heart failure","volume":"7","author":"Segar","year":"2022","journal-title":"JAMA Cardiol"},{"key":"10.1016\/j.ahj.2024.03.005_bib0039","doi-asserted-by":"crossref","first-page":"djv095","DOI":"10.1093\/jnci\/djv095","article-title":"Predicting high-grade cancer at ten-core prostate biopsy using four kallikrein markers measured in blood in the ProtecT study","volume":"107","author":"Bryant","year":"2015","journal-title":"J Natl Cancer Inst"},{"key":"10.1016\/j.ahj.2024.03.005_bib0040","doi-asserted-by":"crossref","first-page":"g7594","DOI":"10.1136\/bmj.g7594","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (tripod): the tripod statement","volume":"350","author":"Collins","year":"2015","journal-title":"BMJ"},{"key":"10.1016\/j.ahj.2024.03.005_bib0041","doi-asserted-by":"crossref","first-page":"e002912","DOI":"10.1161\/CIRCHEARTFAILURE.115.002912","article-title":"Validation and comparison of seven mortality prediction models for hospitalized patients with acute decompensated heart failure","volume":"9","author":"Lagu","year":"2016","journal-title":"Circ Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0042","article-title":"Comparing machine learning models and statistical models for predicting heart failure events: a systematic review and meta-analysis","volume":"9","author":"Sun","year":"2022","journal-title":"Front Cardiovasc Med"},{"key":"10.1016\/j.ahj.2024.03.005_bib0043","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.jchf.2021.06.015","article-title":"Health status predicts short- and long-term risk of composite clinical outcomes in acute heart failure","volume":"9","author":"Hu","year":"2021","journal-title":"JACC Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0044","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.cardfail.2004.02.011","article-title":"Risk stratification after hospitalization for decompensated heart failure","volume":"10","author":"Felker","year":"2004","journal-title":"J Card Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0045","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.ejheart.2008.01.009","article-title":"Prognostic impact of NT-proBNP and renal function in comparison to contemporary multi-marker risk scores in heart failure patients","volume":"10","author":"Pfister","year":"2008","journal-title":"Eur J Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0046","doi-asserted-by":"crossref","first-page":"e003926","DOI":"10.1161\/CIRCHEARTFAILURE.117.003926","article-title":"Inpatient mortality risk scores and postdischarge events in hospitalized heart failure patients: a community-based study","volume":"10","author":"Win","year":"2017","journal-title":"Circ Heart Fail"},{"key":"10.1016\/j.ahj.2024.03.005_bib0047","doi-asserted-by":"crossref","first-page":"2924","DOI":"10.1002\/ijc.33487","article-title":"Prediction and clinical utility of a liver cancer risk model in Chinese adults: a prospective cohort study of 0.5 million people","volume":"148","author":"Yu","year":"2021","journal-title":"Int J Cancer"},{"key":"10.1016\/j.ahj.2024.03.005_bib0048","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.ijcard.2021.12.051","article-title":"Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure","volume":"350","author":"Driscoll","year":"2022","journal-title":"Int J Cardiol"}],"container-title":["American Heart Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002870324000668?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002870324000668?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T06:42:12Z","timestamp":1714804932000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0002870324000668"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":48,"alternative-id":["S0002870324000668"],"URL":"https:\/\/doi.org\/10.1016\/j.ahj.2024.03.005","relation":{},"ISSN":["0002-8703"],"issn-type":[{"type":"print","value":"0002-8703"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predicting the risk of 1-year mortality among patients hospitalized for acute heart failure in China","name":"articletitle","label":"Article Title"},{"value":"American Heart Journal","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ahj.2024.03.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}