{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T05:15:54Z","timestamp":1783401354869,"version":"3.54.6"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Joint Funds for the Innovation of Science and Technology, Fujian province","award":["Grant No. 2023Y9305"],"award-info":[{"award-number":["Grant No. 2023Y9305"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Rheumatol"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1007\/s10067-026-08206-8","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T08:31:04Z","timestamp":1780907464000},"page":"4129-4140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine learning\u2013based prediction of 30-day mortality in critically ill patients with rheumatoid arthritis"],"prefix":"10.1007","volume":"45","author":[{"given":"Jianwen","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyao","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiping","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juanjuan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4279-4553","authenticated-orcid":false,"given":"Zhihan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,8]]},"reference":[{"issue":"12","key":"8206_CR1","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1001\/jama.2022.0786","volume":"327","author":"MH Smith","year":"2022","unstructured":"Smith MH, Berman JR (2022) What is rheumatoid arthritis? JAMA 327(12):1194. https:\/\/doi.org\/10.1001\/jama.2022.0786","journal-title":"JAMA"},{"issue":"5","key":"8206_CR2","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/j.semarthrit.2015.10.016","volume":"45","author":"L Abasolo","year":"2016","unstructured":"Abasolo L, Ivorra-Cortes J, Leon L et al (2016) Influence of demographic and clinical factors on the mortality rate of a rheumatoid arthritis cohort: a 20-year survival study. Semin Arthritis Rheum 45(5):533\u2013538. https:\/\/doi.org\/10.1016\/j.semarthrit.2015.10.016","journal-title":"Semin Arthritis Rheum"},{"issue":"1","key":"8206_CR3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.jbspin.2012.02.005","volume":"80","author":"S Dadoun","year":"2013","unstructured":"Dadoun S, Zeboulon-Ktorza N, Combescure C et al (2013) Mortality in rheumatoid arthritis over the last fifty years: systematic review and meta-analysis. Joint Bone Spine 80(1):29\u201333. https:\/\/doi.org\/10.1016\/j.jbspin.2012.02.005","journal-title":"Joint Bone Spine"},{"issue":"1","key":"8206_CR4","doi-asserted-by":"publisher","first-page":"102020","DOI":"10.1016\/j.berh.2024.102020","volume":"39","author":"DP Misra","year":"2025","unstructured":"Misra DP (2025) Clinical manifestations of rheumatoid arthritis, including comorbidities, complications, and long-term follow-up. Best Pract Res Clin Rheumatol 39(1):102020. https:\/\/doi.org\/10.1016\/j.berh.2024.102020","journal-title":"Best Pract Res Clin Rheumatol"},{"key":"8206_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.ejim.2022.02.006","volume":"98","author":"Y Kouchit","year":"2022","unstructured":"Kouchit Y, Morand L, Martis N (2022) Mortality and its risk factors in critically ill patients with connective tissue diseases: a meta-analysis. Eur J Intern Med 98:83\u201392. https:\/\/doi.org\/10.1016\/j.ejim.2022.02.006","journal-title":"Eur J Intern Med"},{"issue":"1","key":"8206_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/s13613-019-0488-9","volume":"9","author":"ALE Falc\u00e3o","year":"2019","unstructured":"Falc\u00e3o ALE, Barros AGA, Bezerra AAM et al (2019) The prognostic accuracy evaluation of SAPS 3, SOFA and APACHE II scores for mortality prediction in the surgical ICU: an external validation study and decision-making analysis. Ann Intensive Care 9(1):18. https:\/\/doi.org\/10.1186\/s13613-019-0488-9","journal-title":"Ann Intensive Care"},{"issue":"6","key":"8206_CR7","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1111\/nicc.12944","volume":"29","author":"N Shafigh","year":"2024","unstructured":"Shafigh N, Hasheminik M, Shafigh E et al (2024) Prediction of mortality in ICU patients: a comparison between the SOFA score and other indicators. Nurs Crit Care 29(6):1619\u20131622. https:\/\/doi.org\/10.1111\/nicc.12944","journal-title":"Nurs Crit Care"},{"issue":"3","key":"8206_CR8","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.mayocp.2020.08.048","volume":"96","author":"JC Diaz Soto","year":"2021","unstructured":"Diaz Soto JC, Mauermann WJ, Lahr BD et al (2021) MELD and MELD XI scores as predictors of mortality after pericardiectomy for constrictive pericarditis. Mayo Clin Proc 96(3):619\u2013635. https:\/\/doi.org\/10.1016\/j.mayocp.2020.08.048","journal-title":"Mayo Clin Proc"},{"issue":"1","key":"8206_CR9","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1186\/s13054-021-03724-0","volume":"25","author":"J Dong","year":"2021","unstructured":"Dong J, Feng T, Thapa-Chhetry B et al (2021) Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care. Crit Care 25(1):288. https:\/\/doi.org\/10.1186\/s13054-021-03724-0","journal-title":"Crit Care"},{"issue":"1","key":"8206_CR10","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1097\/ALN.0000000000004764","volume":"140","author":"P Arina","year":"2024","unstructured":"Arina P, Kaczorek MR, Hofmaenner DA et al (2024) Prediction of complications and prognostication in perioperative medicine: a systematic review and PROBAST assessment of machine learning tools. Anesthesiology 140(1):85\u2013101. https:\/\/doi.org\/10.1097\/ALN.0000000000004764","journal-title":"Anesthesiology"},{"issue":"25","key":"8206_CR11","doi-asserted-by":"publisher","first-page":"2398","DOI":"10.1056\/NEJMc2305287","volume":"388","author":"K Shibue","year":"2023","unstructured":"Shibue K (2023) Artificial intelligence and machine learning in clinical medicine. N Engl J Med 388(25):2398. https:\/\/doi.org\/10.1056\/NEJMc2305287","journal-title":"N Engl J Med"},{"issue":"1","key":"8206_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41597-022-01899-x","volume":"10","author":"AEW Johnson","year":"2023","unstructured":"Johnson AEW, Bulgarelli L, Shen L et al (2023) MIMIC-IV, a freely accessible electronic health record dataset. Sci Data 10(1):1. https:\/\/doi.org\/10.1038\/s41597-022-01899-x","journal-title":"Sci Data"},{"issue":"1","key":"8206_CR13","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.kint.2020.07.035","volume":"99","author":"K Blazek","year":"2021","unstructured":"Blazek K, van Zwieten A, Saglimbene V et al (2021) A practical guide to multiple imputation of missing data in nephrology. Kidney Int 99(1):68\u201374. https:\/\/doi.org\/10.1016\/j.kint.2020.07.035","journal-title":"Kidney Int"},{"issue":"2020","key":"8206_CR14","doi-asserted-by":"publisher","first-page":"5494858","DOI":"10.1155\/2020\/5494858","volume":"7","author":"W Chen","year":"2020","unstructured":"Chen W, Ou M, Tang D et al (2020) Identification and validation of immune-related gene prognostic signature for hepatocellular carcinoma. J Immunol Res 7(2020):5494858. https:\/\/doi.org\/10.1155\/2020\/5494858","journal-title":"J Immunol Res"},{"issue":"6","key":"8206_CR15","doi-asserted-by":"publisher","first-page":"1496","DOI":"10.3390\/diagnostics12061496","volume":"12","author":"PS Hung","year":"2022","unstructured":"Hung PS, Lin PR, Hsu HH et al (2022) Explainable machine learning-based risk prediction model for in-hospital mortality after continuous renal replacement therapy initiation. Diagnostics (Basel) 12(6):1496. https:\/\/doi.org\/10.3390\/diagnostics12061496","journal-title":"Diagnostics (Basel)"},{"issue":"1","key":"8206_CR16","doi-asserted-by":"publisher","first-page":"26","DOI":"10.3899\/jrheum.150312","volume":"43","author":"CA Peschken","year":"2016","unstructured":"Peschken CA, Hitchon CA, Garland A et al (2016) A population-based study of intensive care unit admissions in rheumatoid arthritis. J Rheumatol 43(1):26\u201333. https:\/\/doi.org\/10.3899\/jrheum.150312","journal-title":"J Rheumatol"},{"issue":"1","key":"8206_CR17","doi-asserted-by":"publisher","first-page":"10189","DOI":"10.1038\/s41598-017-10558-w","volume":"7","author":"JM Lezcano-Valverde","year":"2017","unstructured":"Lezcano-Valverde JM, Salazar F, Le\u00f3n L, Toledano E et al (2017) Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach. Sci Rep 7(1):10189. https:\/\/doi.org\/10.1038\/s41598-017-10558-w","journal-title":"Sci Rep"},{"issue":"16","key":"8206_CR18","doi-asserted-by":"publisher","first-page":"1592958","DOI":"10.3389\/fimmu.2025.1592958","volume":"17","author":"X Chen","year":"2025","unstructured":"Chen X, Gong H, Chen J et al (2025) Development and validation of a prognostic nomogram for predicting mortality risk in adult rheumatoid arthritis: an analysis of NHANES 1999\u20132018 data. Front Immunol 17(16):1592958. https:\/\/doi.org\/10.3389\/fimmu.2025.1592958","journal-title":"Front Immunol"},{"issue":"1","key":"8206_CR19","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1186\/s41927-020-00164-1","volume":"4","author":"T Fujiwara","year":"2020","unstructured":"Fujiwara T, Tokuda K, Momii K, Shiomoto K, Tsushima H, Akasaki Y, Ikemura S, Fukushi JI, Maki J, Kaku N, Akahoshi T et al (2020) Prognostic factors for the short-term mortality of patients with rheumatoid arthritis admitted to intensive care units. BMC Rheumatol 4(1):64. https:\/\/doi.org\/10.1186\/s41927-020-00164-1","journal-title":"BMC Rheumatol"},{"issue":"2","key":"8206_CR20","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1007\/s10067-024-07272-0","volume":"44","author":"M Tang","year":"2025","unstructured":"Tang M, Du L, Peng J (2025) Urinary albumin-to-creatinine ratio for predicting risk of all-cause mortality and specific-cause mortality in patients with rheumatoid arthritis: evidence from NHANES 1999\u20132018. Clin Rheumatol 44(2):623\u2013633. https:\/\/doi.org\/10.1007\/s10067-024-07272-0","journal-title":"Clin Rheumatol"},{"key":"8206_CR21","doi-asserted-by":"publisher","first-page":"1360026","DOI":"10.3389\/fmed.2024.1360026","volume":"11","author":"Z Jiang","year":"2024","unstructured":"Jiang Z, Chen L, Liu A et al (2024) Rheumatoid arthritis and the risk of chronic kidney diseases: a Mendelian randomization study. Front Med (Lausanne) 11:1360026. https:\/\/doi.org\/10.3389\/fmed.2024.1360026","journal-title":"Front Med (Lausanne)"},{"key":"8206_CR22","doi-asserted-by":"publisher","first-page":"5859","DOI":"10.2147\/IJGM.S490916","volume":"17","author":"S Tekeoglu","year":"2024","unstructured":"Tekeoglu S (2024) Prevalence and risk factors of cardiovascular disease in rheumatoid arthritis patients: a comparative analysis of real-world data. Int J Gen Med 17:5859\u20135868. https:\/\/doi.org\/10.2147\/IJGM.S490916","journal-title":"Int J Gen Med"},{"issue":"1","key":"8206_CR23","doi-asserted-by":"publisher","first-page":"e58","DOI":"10.1016\/S2665-9913(20)30221-6","volume":"3","author":"R Hansildaar","year":"2021","unstructured":"Hansildaar R, Vedder D, Baniaamam M et al (2021) Cardiovascular risk in inflammatory arthritis: rheumatoid arthritis and gout. Lancet Rheumatol 3(1):e58\u2013e70. https:\/\/doi.org\/10.1016\/S2665-9913(20)30221-6","journal-title":"Lancet Rheumatol"},{"issue":"11","key":"8206_CR24","doi-asserted-by":"publisher","first-page":"5205","DOI":"10.1093\/rheumatology\/keab204","volume":"60","author":"A Palom\u00e4ki","year":"2021","unstructured":"Palom\u00e4ki A, Kerola AM, Malmberg M et al (2021) Patients with rheumatoid arthritis have impaired long-term outcomes after myocardial infarction: a nationwide case-control registry study. Rheumatology (Oxford) 60(11):5205\u20135215. https:\/\/doi.org\/10.1093\/rheumatology\/keab204","journal-title":"Rheumatology (Oxford)"},{"key":"8206_CR25","doi-asserted-by":"publisher","first-page":"745601","DOI":"10.3389\/fmed.2021.745601","volume":"8","author":"L Argnani","year":"2021","unstructured":"Argnani L, Zanetti A, Carrara G et al (2021) Rheumatoid arthritis and cardiovascular risk: retrospective matched-cohort analysis based on the RECORD study of the Italian Society for Rheumatology. Front Med (Lausanne) 8:745601. https:\/\/doi.org\/10.3389\/fmed.2021.745601","journal-title":"Front Med (Lausanne)"},{"key":"8206_CR26","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1186\/s12891-016-1038-3","volume":"17","author":"M van Onna","year":"2016","unstructured":"van Onna M, Boonen A (2016) The challenging interplay between rheumatoid arthritis, ageing and comorbidities. BMC Musculoskelet Disord 17:184. https:\/\/doi.org\/10.1186\/s12891-016-1038-3","journal-title":"BMC Musculoskelet Disord"},{"key":"8206_CR27","doi-asserted-by":"publisher","first-page":"105001","DOI":"10.1016\/j.yexmp.2025.105001","volume":"144","author":"X Zhang","year":"2025","unstructured":"Zhang X, Meng F, Wang Z et al (2025) The association between abnormal glucose metabolism and rheumatoid arthritis. Exp Mol Pathol 144:105001. https:\/\/doi.org\/10.1016\/j.yexmp.2025.105001","journal-title":"Exp Mol Pathol"},{"issue":"2","key":"8206_CR28","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1097\/XCE.0000000000000244","volume":"10","author":"Z Tian","year":"2021","unstructured":"Tian Z, Mclaughlin J, Verma A et al (2021) The relationship between rheumatoid arthritis and diabetes mellitus: a systematic review and meta-analysis. Cardiovasc Endocrinol Metab 10(2):125\u2013131. https:\/\/doi.org\/10.1097\/XCE.0000000000000244","journal-title":"Cardiovasc Endocrinol Metab"},{"key":"8206_CR29","doi-asserted-by":"publisher","first-page":"103472","DOI":"10.1016\/j.jaut.2025.103472","volume":"156","author":"M Zhu","year":"2025","unstructured":"Zhu M, Li X, Zhao K et al (2025) Altered glucose metabolism in B cells: implications for the pathogenesis and treatment of autoimmune diseases. J Autoimmun 156:103472. https:\/\/doi.org\/10.1016\/j.jaut.2025.103472","journal-title":"J Autoimmun"},{"issue":"2","key":"8206_CR30","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.imbio.2018.11.010","volume":"224","author":"E Rendra","year":"2019","unstructured":"Rendra E, Riabov V, Mossel DM et al (2019) Reactive oxygen species (ROS) in macrophage activation and function in diabetes. Immunobiology 224(2):242\u2013253. https:\/\/doi.org\/10.1016\/j.imbio.2018.11.010","journal-title":"Immunobiology"},{"issue":"5","key":"8206_CR31","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.3390\/biomedicines10051168","volume":"10","author":"LV Nedosugova","year":"2022","unstructured":"Nedosugova LV, Markina YV, Bochkareva LA et al (2022) Inflammatory mechanisms of diabetes and its vascular complications. Biomedicines 10(5):1168. https:\/\/doi.org\/10.3390\/biomedicines10051168","journal-title":"Biomedicines"},{"issue":"1","key":"8206_CR32","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1097\/CM9.0000000000003230","volume":"138","author":"X Chen","year":"2025","unstructured":"Chen X, Xie N, Feng L et al (2025) Oxidative stress in diabetes mellitus and its complications: from pathophysiology to therapeutic strategies. Chin Med J (Engl) 138(1):15\u201327. https:\/\/doi.org\/10.1097\/CM9.0000000000003230","journal-title":"Chin Med J (Engl)"}],"container-title":["Clinical Rheumatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-026-08206-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10067-026-08206-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-026-08206-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:27:20Z","timestamp":1783398440000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10067-026-08206-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,8]]},"references-count":32,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["8206"],"URL":"https:\/\/doi.org\/10.1007\/s10067-026-08206-8","relation":{},"ISSN":["0770-3198","1434-9949"],"issn-type":[{"value":"0770-3198","type":"print"},{"value":"1434-9949","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,8]]},"assertion":[{"value":"27 February 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 May 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 June 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study was conducted in accordance with the guidelines of the Declaration of Helsinki. Since the study involved analysis of publicly available datasets, no additional ethical approval was required.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}