Systemic inflammation plays a crucial role in the pathogenesis and prognosis of diabetes and cardiovascular diseases. System inflammation response index (SIRI), is an emerging biomarker designed to assess the extent of systemic inflammation. We aimed to delineate the prognostic significance of SIRI in patients with both AF and type 2 diabetes mellitus (T2DM). Utilizing the Medical Information Mart for Intensive Care IV (MIMIC-IV) (v2.2) repository, subjects divided into three groups based on the SIRI index. The primary endpoint of our study was all-cause mortality during hospitalization, with one-year mortality serving as the secondary endpoint. A cohort of 2054 AF and T2DM patients participated. COX regression analysis revealed elevated SIRI levels as an independent risk factor for both in-hospital and 1-year mortality. 192 patients died during hospitalization, and 265 died during the follow-up of 1 year. When treating the SIRI as a continuous variable, a higher SIRI was significantly associated with increased all-cause mortality both in-hospital [hazard ratio (HR) 1.015, 95%CI 1.010-1.020, P = 0.015] and 1-year (HR 1. 016, 95%CI 1.008-1.015, P = 0.012). Additionally, compared to patients with the lowest tertiles of SIRI, those with the highest tertiles of SIRI possessed significantly higher all-cause mortality both in-hospital and 1-year after multivariable adjustment, and this relationship remained pronounced in AF and T2DM patients [in-hospital mortality (HR: 1.863, 95% CI 1.189-2.918, P = 0.007); one-year mortality (HR: 2.143, 95% CI 1.621-2.831, P < 0.001)]. Our RCS analyses indicated a pronounced linear association between SIRI and mortality in T2DM (p-value for non-linear < 0.001). In AF patients with T2DM, high SIRI is an independent predictor of poor survival and may be helpful for patient's risk stratification.
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http://dx.doi.org/10.1038/s41598-024-84666-9 | DOI Listing |
Cardiovasc Revasc Med
December 2024
Cardiology Division, Hennepin Healthcare, Minneapolis, MN, USA.
Background: There is a growing body of data to support the presence of sex disparities in outcomes of cardiovascular related hospitalizations. Despite this, there remains a paucity of data on relationships between sex and in-hospital outcomes in patients receiving a left atrial appendage occlusion device (LAAOD).
Methods: We examined the 2016-2020 Nationwide Readmission Database to identify patients with Atrial Fibrillation receiving a LAAOD.
Cardiovasc Revasc Med
January 2025
Division of Cardiology, Department of Medicine, University of Texas Health Sciences Center, San Antonio, TX, USA.
Background: Pulmonary hypertension (pHTN) has been associated with increased morbidity and mortality after mitral Transcatheter Edge-to-Edge Repair (TEER), but the association remains uncertain. This study aims to evaluate the impact of pHTN on cardiovascular outcomes following TEER.
Methods: We searched PubMed, Scopus, and Medline to identify studies reporting outcomes after TEER in individuals with pHTN.
Front Cardiovasc Med
December 2024
Department of Hypertension, Henan Provincial People's Hospital, Zhengzhou, China.
Background: Previous studies suggest that frailty increases the risk of mortality, but the risk of cardiovascular disease (CVD) and all-cause mortality in Chinese community-dwelling older adults remains understudied. Our aim was to explore the effect of frailty on cardiovascular and all-cause mortality in older adults based on a large-scale prospective survey of community-dwelling older adults in China.
Methods: We utilized the 2014-2018 cohort of the Chinese Longitudinal Healthy Longevity Survey and constructed a frailty index (FI) to assess frailty status.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Medicine, Fengxian District Central Hospital, Shanghai, China.
Background: Although a few studies have examined the correlation between low-density lipoprotein cholesterol (LDL-C) and mortality, no study has explored these associations in hypertensive populations. This study aims to investigate the relationship between low-density lipoprotein cholesterol and cardiovascular and all-cause mortality in adults with hypertension.
Methods: Hypertensive participants aged ≥18 years from the National Health and Nutrition Examination Survey 1999-2018 with blood lipid testing data and complete follow-up data until 31 December 2019 were enrolled in the analysis.
JAMIA Open
February 2025
Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, United States.
Objectives: In the general hospital wards, machine learning (ML)-based early warning systems (EWSs) can identify patients at risk of deterioration to facilitate rescue interventions. We assess subpopulation performance of a ML-based EWS on medical and surgical adult patients admitted to general hospital wards.
Materials And Methods: We assessed the scores of an EWS integrated into the electronic health record and calculated every 15 minutes to predict a composite adverse event (AE): all-cause mortality, transfer to intensive care, cardiac arrest, or rapid response team evaluation.
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