{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T07:02:24Z","timestamp":1779951744395,"version":"3.53.1"},"reference-count":42,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:00:00Z","timestamp":1779926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To investigate the association between the Systemic Inflammation Response Index (SIRI) and the risk of 6-month readmission in patients with hypertensive heart disease-related heart failure (HHD-HF), and develop and validate a nomogram prediction model integrating SIRI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective cohort of 158 hypertensive heart disease-related heart failure (HHD-HF) patients (June 2022\u2013December 2024) was enrolled. Baseline clinical data, laboratory indicators, and cardiac structural and functional parameters were collected. Patients were split 7:3 into training (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f111) and validation (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f47) sets. LASSO regression was used for variable selection, and a multivariate logistic regression model incorporating SIRI was constructed and visualized as a nomogram. The model\u2019s discriminative ability, calibration, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Additionally, SHapley Additive exPlanations (SHAP) analysis was employed to interpret the contribution and directionality of SIRI and other predictors at both global and individual levels. Spearman rank correlation was used to explore the associations between SIRI and cardiac structural parameters, renal function, and comorbidities.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The LVMI (OR\u202f=\u202f1.02,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.046), diabetes history (OR\u202f=\u202f5.62,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.028), and SIRI (OR\u202f=\u202f2.88,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.014) as independent predictors of 6-month readmission in HHD-HF patients. The nomogram showed discrimination in training and validation cohorts (AUC 0.950 and 0.948, respectively). SHAP analysis confirmed SIRI as the dominant contributor (mean |SHAP|\u202f\u2248\u202f1.4). SIRI positively correlated with readmission risk (\n                      <jats:italic>R<\/jats:italic>\n                      =\u202f0.610) and LVMI (\n                      <jats:italic>R<\/jats:italic>\n                      =\u202f0.413), and negatively eGFR (\n                      <jats:italic>R<\/jats:italic>\n                      =\u202f\u22120.446, all\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt;\u202f0.001). In the total cohort, SIRI alone yielded an AUC of 0.863 (cutoff 1.71). Compared with other markers in the training cohort, SIRI significantly outperformed CRP (\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.001), NLR (\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt;\u202f0.001), and BNP (\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt;\u202f0.001). Subgroup analysis by LVEF showed consistent performance of SIRI in HFrEF (AUC 0.868) and HFpEF (AUC 0.829,\n                      <jats:italic>P<\/jats:italic>\n                      for difference\u202f=\u202f0.589), and SIRI remained an independent predictor in both phenotypes (HFrEF: OR\u202f=\u202f3.65,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.025; HFpEF: OR\u202f=\u202f3.33,\n                      <jats:italic>p<\/jats:italic>\n                      =\u202f0.038).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This nomogram incorporating LVMI, diabetes history, and SIRI effectively predicts 6-month readmission in HHD-HF patients, with discriminative ability and good calibration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmed.2026.1799853","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T06:16:19Z","timestamp":1779948979000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The correlation between the systemic inflammation response index and 6-month readmission risk in patients with hypertensive heart disease-related heart failure and its predictive model"],"prefix":"10.3389","volume":"13","author":[{"given":"Suqin","family":"Wang","sequence":"first","affiliation":[{"name":"Heart Failure Ward of Fuwai Central China Cardiovascular Hospital, Henan Provincial People\u2019s Hospital Heart Center","place":["Zhengzhou, Henan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongzhi","family":"Liu","sequence":"additional","affiliation":[{"name":"Heart Failure Ward of Fuwai Central China Cardiovascular Hospital, Henan Provincial People\u2019s Hospital Heart Center","place":["Zhengzhou, Henan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiao","family":"Sun","sequence":"additional","affiliation":[{"name":"Coronary Heart Disease Unit 4 of Fuwai Central China Cardiovascular Hospital, Henan Provincial People\u2019s Hospital Heart Center","place":["Zhengzhou, Henan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Yuan","sequence":"additional","affiliation":[{"name":"Heart Failure Ward of Fuwai Central China Cardiovascular Hospital, Henan Provincial People\u2019s Hospital Heart Center","place":["Zhengzhou, Henan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1093\/ehjqcco\/qcae110","article-title":"Global burden of heart failure and its underlying causes in 204 countries and territories, 1990-2021","volume":"11","author":"Chen","year":"2025","journal-title":"European Heart J"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s40364-025-00728-8","article-title":"Global, regional, and national burden of heart failure and its underlying causes, 1990-2021: results from the global burden of disease study 2021","volume":"13","author":"Ran","year":"2025","journal-title":"Biomark Res"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.jacc.2023.05.040","article-title":"Global comparison of readmission rates for patients with heart failure","volume":"82","author":"Foroutan","year":"2023","journal-title":"J Am Coll Cardiol"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/s12865-025-00690-y","article-title":"Association of the Systemic Immune-Inflammation Index with clinical outcomes in acute myocardial infarction patients with 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failure","volume":"420","author":"Yang","year":"2025","journal-title":"Int J Cardiol"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.2147\/jir.S451190","article-title":"The associations of two novel inflammation biomarkers, Siri and Sii, with mortality risk in patients with chronic heart failure","volume":"17","author":"Zhu","year":"2024","journal-title":"J Inflamm Res"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3969\/j.issn.1009-816X.2019.01.001","article-title":"Chinese guidelines for the prevention and treatment of hypertension (2018 revision)","volume":"26","year":"2019","journal-title":"Prevent Treat Cardio Cerebral Vasc Dis"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"760","DOI":"10.3760\/cma.j.issn.0253-3758.2018.10.004","article-title":"Chinese guidelines for the diagnosis and treatment of heart failure 2018","volume":"46","year":"2018","journal-title":"Chin J Cardiol"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"3021","DOI":"10.1093\/eurheartj\/ehy339","article-title":"2018 ESC\/ESH guidelines for the management of arterial hypertension","volume":"39","author":"Williams","year":"2018","journal-title":"Eur Heart J"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.echo.2014.10.003","article-title":"Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","volume":"28","author":"Lang","year":"2015","journal-title":"J Am Soc Echocardiogr"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.pcad.2015.09.004","article-title":"The prevention of hospital readmissions in heart failure","volume":"58","author":"Ziaeian","year":"2016","journal-title":"Prog Cardiovasc 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acute pulmonary embolism: a retrospective observational study","volume":"32","author":"Zhou","year":"2026","journal-title":"Clin Appl Thromb Hemost"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1053\/j.jvca.2025.12.022","article-title":"The role of sequential organ failure assessment scores and perfusion markers in predicting postoperative complications after cardiac surgery","volume":"40","author":"Vujovi\u0107","year":"2025","journal-title":"J Cardiothorac Vasc Anesth"},{"key":"ref36","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1186\/s12872-023-03403-8","article-title":"Association between systemic inflammatory response index and left ventricular remodeling and systolic dysfunction in atrial fibrillation patients","volume":"23","author":"Chi","year":"2023","journal-title":"BMC Cardiovasc Disord"},{"key":"ref37","doi-asserted-by":"publisher","first-page":"123356","DOI":"10.1016\/j.lfs.2024.123356","article-title":"Ptn secreted by cardiac fibroblasts promotes myocardial fibrosis and inflammation of pressure overload-induced hypertrophic cardiomyopathy through the Ptn-Sdc4 pathway","volume":"363","author":"Sheng","year":"2025","journal-title":"Life Sci"},{"key":"ref38","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1186\/s12967-025-06260-5","article-title":"Complex regulation of cardiac fibrosis: insights from immune cells and signaling pathways","volume":"23","author":"Rao","year":"2025","journal-title":"J Transl Med"},{"key":"ref39","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1186\/s40001-024-01804-9","article-title":"Threshold-modifying effect of the systemic inflammatory response index on kidney function decline in hypertensive patients","volume":"29","author":"Wei","year":"2024","journal-title":"Eur J Med Res"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3390\/jcdd4040021","article-title":"The physiopathology of Cardiorenal syndrome: a review of the potential contributions of inflammation","volume":"4","author":"Kingma","year":"2017","journal-title":"J Cardiovasc Dev Dis"},{"key":"ref41","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.ccl.2007.08.010","article-title":"Heart failure in the twenty-first century: is it a coronary artery disease or hypertension problem?","volume":"25","author":"Velagaleti","year":"2007","journal-title":"Cardiol Clin"},{"key":"ref42","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1001\/jamacardio.2024.0284","article-title":"Prognostic models for mortality and morbidity in heart failure with preserved ejection fraction","volume":"9","author":"McDowell","year":"2024","journal-title":"JAMA Cardiol"}],"container-title":["Frontiers in 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