Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM. We enrolled a total of 2760 patients with cardiovascular disease between November 2023 and May 2024. All eligible participants were divided into the CHD group and the DM & CHD group according to the existence of comorbid DM. Our study revealed that the SII values were significantly higher in diabetic patients with CHD compared to those with CHD alone (P < 0.05). Furthermore, among patients with both CHD and DM, higher SII values were associated with a greater likelihood of developing complex, triple-branch coronary artery lesions, while the opposite trend was observed in CHD populations (P < 0.05). In the regression model completely adjusted for potential confounders, the correlation between high SII levels and co-existing DM status in CHD patients persisted as statistically significant even after attaining guideline-recommended LDL-C and TG goals (P < 0.05). Moreover, our findings demonstrated a significant link between SII levels and the severity of coronary artery stenosis as assessed by coronary angiography, particularly in the DM and CHD patient cohorts (P < 0.05). Further stratified analysis revealed a novel finding that SII levels in DM and CHD patients maintained a positive linear relationship with coronary plaque burden even under stringent glycemic control (P < 0.01, r = 0.37), whereas this correlation was absent in CHD patients who had FBG of 7 mmol/L or lower upon admission (P < 0.01, r < 0.30). These important findings underscore the SII as an independent predictor of the severity of coronary plaque burden in diabetic patients with CHD, offering valuable insights that can aid clinicians in refining risk stratification and implementing personalized management strategies for those at elevated risk.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-024-82826-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11682039PMC

Publication Analysis

Top Keywords

coronary heart
8
heart disease
8
diabetes mellitus
8
chd group
8
chd
6
coronary
5
predictive system
4
system immune-inflammation
4
immune-inflammation severity
4
severity coronary
4

Similar Publications

On the causal connection in lifespan correlations and the possible existence of a 'number of life' at molecular level.

Sci Rep

December 2024

Departamento de Astronomía, Universidad de Chile, Casilla 36-D, Santiago, Chile.

Multiple physiological traits correlates with lifespan, being unclear both the causal connection among them and with the process of ageing. In this paper, we show that six traits (such as metabolic rate, mass, heart rate, etc) acting at the system level, are all related to lifespan thru the existence of an approximately constant number of respiration cycles in a lifespan ([Formula: see text]), therefore, we find that those relationships are not independently related to ageing. In addition, we study if the approximately constant [Formula: see text] is possibly linked with the end-of-lifespan somatic mutation burden, another number recently found to be approximately constant (Cagan, Nature 604:517-524, 2022).

View Article and Find Full Text PDF

Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.

View Article and Find Full Text PDF

Modeling predicts facile release of nitrite but not nitric oxide from the thionitrate CHSNO with relevance to nitroglycerin bioactivation.

Sci Rep

December 2024

Department of Chemistry and Biochemistry, Centre for Research in Molecular Modeling (CERMM), Concordia University, 7141 Sherbrooke Street West, Montréal, QC, H4B 1R6, Canada.

Nitroglycerin is a potent vasodilator in clinical use since the late 1800s. It functions as a prodrug that is bioactivated by formation of an enzyme-based thionitrate, E-Cys-NO. This intermediate reportedly decomposes to release NO and NO but their relative yields remain controversial.

View Article and Find Full Text PDF

A real-world pharmacovigilance analysis of potential ototoxicity associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS).

Sci Rep

December 2024

Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

Sacubitril/valsartan, a first-in-class angiotensin receptor neprilysin inhibitor, is widely used to treat heart failure. Despite its efficacy, sacubitril/valsartan inevitably causes adverse events such as hypotension, renal dysfunction, hyperkalemia, and angioedema. Sacubitril/valsartan-associated ototoxicity is often underreported in clinical studies and real-world settings.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!