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Background: While the survival benefits of angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) are firmly established in the general population, their efficacy within patient undergoing dialysis with coronary artery disease (CAD) remains controversial. Methods: Between January 2015 and June 2021, 1168 patients undergoing dialysis with CAD were assessed from 30 tertiary medical centers. The primary outcome was all-cause death, and the secondary outcome was cardiovascular death. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for between-group differences. Results: Overall, ACEI or ARB were prescribed to 518 patients (44.3%) upon discharge. After a median follow-up of 22.2 months, 361 (30.9%) patients died, including 243 cardiovascular deaths. The use of ACEI or ARB was associated with a significantly lower risk of all-cause (25.3% vs 35.4%, hazard ratio [HR] 0.65, 95% confidence interval [CI] 0.52–0.82, p < 0.001) and cardiovascular death (17.0% vs 23.8%; HR 0.64, 95% CI 0.48–0.83, p = 0.001). These findings remained consistent across IPTW and PSM analyses. Sensitivity analyses for ACEI and ARB use separately yielded similar results. Conclusions: Our findings suggested that among patients undergoing dialysis with CAD, ACEI or ARB use was associated with a lower risk of all-cause and cardiovascular death. [ABSTRACT FROM AUTHOR]

Background: Stress Hyperglycemia Ratio (SHR) reflects the acute blood glucose variation in critically ill conditions. However, its prognostic value in chronic kidney disease (CKD) remains understudied. This study aimed to investigate the association between SHR and one-year mortality in CKD patients hospitalized in the Intensive Care Unit (ICU). Methods: Patients with diagnosis of CKD in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were enrolled. Incidence of all-cause mortality within one-year follow-up was used as the primary endpoint. Results: 1825 CKD patients were included in the study. A "U-shaped" relationship between SHR and one-year mortality as identified using multivariate restricted cubic spline (RCS) analysis. Then study population were categorized into three groups: Group 1 (SHR < 0.70), Group 2 (0.70 ≤ SHR ≤ 0.95) and Group 3 (SHR > 0.95). Group 2 showed significantly better one-year outcomes compared to the other two groups (p = 0.0031). This survival benefit persisted across subgroup analyses stratified by age, sex, CKD stage, anemia and various clinical conditions. Conclusion: SHR proved to be a meaningful biomarker for predicting one-year mortality in ICU-admitted CKD patients, with a "U-shaped" correlation. The identification of the optimal SHR range (0.70–0.95) provided clinicians with a valuable tool for detecting high-risk populations. [ABSTRACT FROM AUTHOR]

As a biomarker of inflammation and a core component in the coagulation pathway, fibrinogen contributes to atherosclerosis and subsequent adverse cardiovascular events and is modified by the occurrence of diabetes mellitus. However, the association between fibrinogen, diabetes status, and mortality in patients with end-stage renal disease (ESRD) and acute coronary syndrome (ACS) remains scarce. Methods: A multi-center cohort study enrolled 1079 patients with ESRD and ACS between January 2015 and June 2021. Patients were classified into three groups based on fibrinogen tertiles and were further categorized by diabetes status. The primary outcome was all-cause mortality, while the secondary outcome was cardiovascular mortality. Results: During a median 21.5 months of follow-up, 386 cases of all-cause mortality were recorded, including 262 cases of cardiovascular mortality. Multivariable Cox regression model revealed that patients with the third tertile of fibrinogen and those with diabetes experienced a significantly increased risk of all-cause mortality (fibrinogen: hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.32– 2.19; diabetes: HR, 1.36; 95% CI, 1.10– 1.68). When patients were stratified by both fibrinogen levels and diabetes status, patients in the third fibrinogen tertile with diabetes had the highest risk of all-cause mortality (HR 2.43, 95% CI 1.69– 3.48) compared to those in the first fibrinogen tertile without diabetes. Similar associations were observed for cardiovascular mortality. Notably, incorporating the combined fibrinogen and diabetes status into the Global Registry of Acute Coronary Events (GRACE) score or baseline risk model led to significant improvements in the C-statistics for predicting mortality, surpassing the advancements achieved with any single biomarker. Conclusion: In patients with ESRD and ACS, elevated fibrinogen and diabetes were associated with an increased risk of all-cause and cardiovascular mortality. Categorizing patients based on fibrinogen levels and diabetes status could provide valuable information for risk stratification of these patients. [ABSTRACT FROM AUTHOR]

Background: The triglyceride-glucose (TyG) index has been suggested as a dependable indicator for predicting major adverse cardiovascular events (MACE) in individuals with cardiovascular conditions. Nevertheless, there is insufficient data on the predictive significance of the TyG index in end-stage renal disease (ESRD) patients with coronary artery disease (CAD). Methods: This study, conducted at multiple centers in China, included 959 patients diagnosed with dialysis and CAD from January 2015 to June 2021. Based on the TyG index, the participants were categorized into three distinct groups. The study's primary endpoint was the combination of MACE occurring within one year of follow-up, including death from any cause, non-fatal myocardial infarction, and non-fatal stroke. We assessed the association between the TyG index and MACE using Cox proportional hazard models and restricted cubic spline analysis. The TyG index value was evaluated for prediction incrementally using C-statistics, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results: The three groups showed notable variations in the risk of MACE (16.3% in tertile 1, 23.5% in tertile 2, and 27.2% in tertile 3; log-rank P = 0.003). Following complete adjustment, patients with the highest TyG index exhibited a notably elevated risk of MACE in comparison to those in the lowest tertile (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.14–2.35, P = 0.007). Likewise, each unit increase in the TyG index correlated with a 1.37-fold higher risk of MACE (HR 1.37, 95% CI 1.13–1.66, P = 0.001). Restricted cubic spline analysis revealed a connection between the TyG index and MACE (P for nonlinearity > 0.05). Furthermore, incorporating the TyG index to the Global Registry of Acute Coronary Events risk score or baseline risk model with fully adjusted factors considerably enhanced the forecast of MACE, as demonstrated by the C-statistic, continuous NRI, and IDI. Conclusions: The TyG index might serve as a valuable and dependable indicator of MACE risk in individuals with dialysis and CAD, indicating its potential significance in enhancing risk categorization in clinical settings. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to explore the association between the triglyceride glucose index (TyG) and the risk of in-hospital and one-year mortality in patients with chronic kidney disease (CKD) and cardiovascular disease (CAD) admitted to the intensive care unit (ICU). Methods: The data for the study were taken from the Medical Information Mart for Intensive Care-IV database which contained over 50,000 ICU admissions from 2008 to 2019. The Boruta algorithm was used for feature selection. The study used univariable and multivariable logistic regression analysis, Cox regression analysis, and 3-knotted multivariate restricted cubic spline regression to evaluate the association between the TyG index and mortality risk. Results: After applying inclusion and exclusion criteria, 639 CKD patients with CAD were included in the study with a median TyG index of 9.1 [8.6,9.5]. The TyG index was nonlinearly associated with in-hospital and one-year mortality risk in populations within the specified range. Conclusion: This study shows that TyG is a predictor of one-year mortality and in-hospital mortality in ICU patients with CAD and CKD and inform the development of new interventions to improve outcomes. In the high-risk group, TyG might be a valuable tool for risk categorization and management. Further research is required to confirm these results and identify the mechanisms behind the link between TyG and mortality in CAD and CKD patients. [ABSTRACT FROM AUTHOR]