Cluster analysis of clinical, angiographic, and laboratory parameters in patients with ST-segment elevation myocardial infarction.

INTRODUCTION: ST-segment elevation myocardial infarction (STEMI) represents the most harmful clinical manifestation of coronary artery disease. Risk assessment plays a beneficial role in determining both the treatment approach and the appropriate time for discharge. Hierarchical agglomerative clustering (HAC), a machine learning algorithm, is an innovative approach employed for the categorization of patients with comparable clinical and laboratory features. The aim of the present study was to investigate the role of HAC in categorizing STEMI patients and to compare the results of these patients. METHODS: A total of 3205 patients who were diagnosed with STEMI at the university hospital emergency clinic between 2015 and 2023 were included in the study. The patients were divided into 2 different phenotypic disease clusters using the HAC method, and their outcomes were compared. RESULTS: In the present study, a total of 3205 STEMI patients were included; 2731 patients were in cluster 1, and 474 patients were in cluster 2. Mortality was observed in 147 (5.4%) patients in cluster 1 and 108 (23%) patients in cluster 2 (chi-square P value < 0.01). Survival analysis revealed that patients in cluster 2 had a significantly greater risk of death than patients in cluster 1 did (log-rank P < 0.001). After adjustment for age and sex in the Cox proportional hazards model, cluster 2 exhibited a notably greater risk of death than did cluster 1 (HR = 3.51, 95% CI = 2.71-4.54; P < 0.001). CONCLUSION: Our study showed that the HAC method may be a potential tool for predicting one-month mortality in STEMI patients.

Protective effects of arbutin against doxorubicin-induced cardiac damage.

BACKGROUND: Doxorubicin is an effective antineoplastic agent but has limited clinical application because of its cumulative toxicities, including cardiotoxicity. Cardiotoxicity causes lipid peroxidation, genetic impairment, oxidative stress, inhibition of autophagy, and disruption of calcium homeostasis. Doxorubicin-induced cardiotoxicity is frequently tried to be mitigated by phytochemicals, which are derived from plants and possess antioxidant, anti-inflammatory, and anti-apoptotic properties. Arbutin, a natural antioxidant found in the leaves of the bearberry plant, has numerous pharmacological benefits, including antioxidant, anti-bacterial, anti-hyperglycemic, anti-inflammatory, and anti-tumor activity. METHODS AND RESULTS: The study involved male Wistar rats divided into three groups: a control group, a group treated with doxorubicin (20 mg/kg) to induce cardiac toxicity, a group treated with arbutin (100 mg/kg) daily for two weeks before doxorubicin administration. After treatment, plasma and heart tissue samples were collected for analysis. The samples were evaluated for oxidative stress parameters, including superoxide dismutase, malondialdehyde, and catalase, as well as for cardiac biomarkers, including CK, CK-MB, and LDH. The heart tissues were also analyzed using molecular (TNF-α, IL-1ß and Caspase 3), histopathological and immunohistochemical methods (8-OHDG, 4 Hydroxynonenal, and dityrosine). The results showed that arbutin treatment was protective against doxorubicin-induced oxidative damage by increasing SOD and CAT activity and decreasing MDA level. Arbutin treatment was similarly able to reverse the inflammatory response caused by doxorubicin by reducing TNF-α and IL-1ß levels and also reverse the apoptosis by decreasing caspase-3 levels. It was able to prevent doxorubicin-induced cardiac damage by reducing cardiac biomarkers CK, CK-MB and LDH levels. In addition to all these results, histopathological analyzes also show that arbutin may be beneficial against the damage caused by doxorubicin on heart tissue. CONCLUSION: The study suggests that arbutin has the potential to be used to mitigate doxorubicin-induced cardiotoxicity in cancer patients.

The prognostic importance of the Naples prognostic score for in-hospital mortality in patients with ST-segment elevation myocardial infarction.

BACKGROUND: The Naples prognostic score (NPS) is an effective inflammatory and nutritional scoring system widely applied as a prognostic factor in various cancers. However, the prognostic significance of NPS is unknown in ST-segment elevation myocardial infarction (STEMI). We aimed to analyze the prognostic value of the NPS in-hospital mortality in patients with STEMI. METHODS: The study consisted of 3828 patients diagnosed with STEMI who underwent primer percutaneous coronary intervention. As the primary outcome, in-hospital mortality was defined as all-cause deaths during hospitalization. The included patients were categorized into three groups based on NPS (group 1:NPS = 0,1,2; group 2:NPS = 3; group 3:NPS = 4). RESULTS: Increased NPS was associated with higher in-hospital mortality rates( P  < 0.001). In the multivariable logistic regression analysis, the relationship between NPS and in-hospital mortality continued after adjustment for age, male sex, diabetes, hypertension, Killip score, SBP, heart rate, left ventricular ejection fraction, myocardial infarction type and postprocedural no-reflow. A strong positive association was found between in-hospital mortality and NPS by multivariable logistic regression analysis [NPS 0-1-2 as a reference, OR = 1.73 (95% CI, 1.04-2.90) for NPS 3, OR = 2.83 (95% CI, 1.76-4.54) for NPS 4]. CONCLUSION: The present study demonstrates that the NPS could independently predict in-hospital mortality in STEMI. Prospective studies will be necessary to confirm the performance, clinical applicability and practicality of the NPS for in-hospital mortality in STEMI.

Evaluation of the Relationship Between Diabetic Retinopathy and the Development of Left Atrial Stiffness in Patients with Diabetes Mellitus.

OBJECTIVE: Based on several studies, atrial remodeling results in an increase in left atrial (LA) stiffness, which is indicative of a worsened reservoir function. A typical microvascular consequence of diabetes mellitus (DM) is diabetic retinopathy. Therefore, the objective of this study was to assess the factors that might be related to LA stiffness in DM patients. MATERIALS AND METHODS: There were 200 DM patients in the study population. The LA stiffness value of 0.33 led to the division of the patients into 2 groups. According to these groups, the parameters to predict the development of the LA stiffness were investigated. RESULTS: The patient population's median age was 54.7 ± 9.4 years, and of them, 105 (52.5% of the population) were men. Retinopathy was substantially linked with LA stiffness. Interventricular septum thickness (B coefficient: 0.261, 95% CI 0.128; 0.394; P < .001), mitral annular plane systolic excursion (B coefficient: -0.350, 95% CI -0.489; -0.2212; P < 0.001), and retinopathy (B coefficient: 0.644, 95% CI 0.307; 0.983; P < .001) were identified as independent predictors of the progression of LA stiffness by the linear regression model. CONCLUSION: The results of the current investigation demonstrated a correlation between higher LA stiffness values and the presence of diabetic retinopathy in diabetic patients.

Risk of Venous Thromboembolism with Statins: Evidence Gathered via a Network Meta-analysis

Background: Anticoagulants are the mainstay of treatment for venous thromboembolism (VTE). Studies have shown conflicting results regarding statins ability to reduce the incidence of VTE. Aims: To perform a network meta-analysis to determine which lipid-lowering agent was more efficacious in and had more evidence regarding reducing the VTE risk. Study Design: Network meta-analysis of the randomized controlled trials (RCTs). Methods: RCTs that assessed the effectiveness and safety of statins or fibrates and compared them to a placebo or another statin were eligible for the study. The outcomes examined in the study were deep vein thrombosis, pulmonary embolism, and/or VTE. We conducted a comprehensive search of the Medline database from 1966 to February 2017, using specific search terms related to VTE and statins. Additionally, we screened, and cross-checked relevant systematic reviews and meta-analyses. We performed a network meta-analysis to compare the different lipid-lowering agents to each other and the placebo and their effectiveness. Results: Twenty-seven RCTs were included in the network meta-analysis (n = 137,940). Pairwise meta-analysis revealed a statistically significant lower incidence of VTE with statins than with placebos (0.79% vs 0.99%, respectively; risk ratios: 0.87, 0.77-0.98; p = 0.022). Rosuvastatin had the most favorable effect in reducing VTE risk than the other statins, fenofibrate, and placebo. Fenofibrate was ranked the worst drug choice, because it increased risk of VTE when compared with the other statins. Rosuvastatin was the best choice for reducing the VTE risk when compared with the placebo (OR: 0.56, 0.42-0.75), atorvastatin (OR: 0.64, 0.44-0.95), pravastatin (OR: 0.50, 0.34-0.74), simvastatin (OR: 0.60, 0.42-0.86) and fenofibrate (OR: 0.37, 0.25-0.56). Compared with a placebo, rosuvastatin reduced the VTE risk by around 45% and fenofibrate increased the risk by 65%. Conclusion: Rosuvastatin is significantly reduces the risk of VTE when compared with a placebo, other statin subtypes, and fibrate. Furthermore, fenofibrate increased the VTE risk when compared with a placebo and statins.

Predictive Value of the Naples Prognostic Score for Acute Kidney Injury in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention.

The purpose of this investigation was to investigate whether there was an association between the Naples prognostic score and the development of acute kidney injury (AKI) in ST-elevation myocardial infarction (STEMI) patients following primary percutaneous coronary intervention (pPCI). The study comprised 2901 consecutive STEMI patients who had pPCI. For each patient, the Naples prognostic score was determined. To evaluate the predictive performance of the Naples score (which included either continuous and categorical variables), we developed a Nested model and a nested model combined with the Naples score. The Naples prognostic score was the most significant predictor of AKI occurrence after admission creatinine, age, and contrast volume. The continuous Naples prognostic score model provided the best prediction performance and discriminative ability. The C-index of the Nested and full models with continuous Naples prognostic score were significantly higher than that of the Nested model. The decision curve analysis found that the overall model had a higher full range of probability of clinical net benefit than the baseline model, with a 10% AKI likelihood. The present study found that the Naples prognostic score may be useful to predict the risk of AKI in STEMI patients undergoing pPCI.

A new marker for the prediction of contrast induced-acute kidney injury following primary percutaneous coronary intervention: logarithm of haemoglobin-albumin product.

BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a disorder that adversely affects the prognosis of STEMI. The study aimed to assess the predictive value of a new marker, logarithm of haemoglobin and albumin product (LHAP) on the risk of CI-AKI development after primary percutaneous coronary intervention (p-pci). METHOD: We retrospectively enrolled 3057 patients with ST-elevation acute myocardial infarction who were treated with p-PCI. The primary outcome was CI-AKI, defined as >25% or >0.5 mg/dl increase of baseline creatinine values during post-procedural 48 h. RESULTS: First, a baseline model was produced to determine the predictors of CI-AKI, then haemoglobin, albumin and LHAP were included in the base model and the performances of all models were compared. The predictive accuracy (Likelihood ratio χ2 and R2) and discrimination (ROC-AUC) of the model including LHAP were significantly higher than that of models including both albumin and Hgb. LHAP best cut-off value for the development of CI-AKI was 9.26 (sensitivity 68% and specificity 66%). CONCLUSION: LHAP values were the most important predictor of CI-AKI, followed by creatinine value and Killip class. LHAP values are significantly associated with CI-AKI after p-PCI.

The Relation of Body Mass Index with In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction.

Objectives: In this study, we aimed to determine whether body mass index (BMI) is an independent predictor of in-hospital mortality in ST-segment elevation myocardial infarction (STEMI) patients and to assess the relationship between BMI and mortality. Methods: One thousand three hundred fifty-seven patients with STEMI were included to the study. Primary outcome was in-hospital mortality. The multivariable logistic regression was used to assess the relationship between BMI and in-hospital mortality using age, gender, diabetes mellitus, systolic blood pressure, heart rate, smoking status, serum creatinine and hemoglobin, type of STEMI, and Killip class as adjustment variables. Results: The frequency of in-hospital mortality was 14.7%. The mean BMI was found to be 28.2 ± 4.8 kg/m2. Considering the in-hospital mortality frequencies between the groups, mortality was observed in 61.7% of the BMI <20 kg/m2 group, 15.5% of the 20-25 kg/m2 group, 8.5% of the 25-30 kg/m2 group, and 9.5% of the >30 kg/m2 group (chi-square P value <0.001). In the multivariable logistic regression analysis, a change in BMI from 20 to 30 kg/m2 was associated with a reduced risk of in-hospital mortality (odds ratio: 0.39, 95% confidence interval: 0.23-0.67, P < 0.001). Conclusion: Our study results revealed that there was inverse significant association between BMI and in-hospital mortality in STEMI patients.

Prognostic value of triglyceride/glucose index in patients with ST-segment elevation myocardial infarction.

Aim: New parameters are emerging to predict prognosis in patients with ST-segment elevation myocardial infarction (STEMI). In this study we aimed to determine and compare the prognostic values of some metabolic indices in terms of predicting long-term mortality in patients with STEMI. Method: A total of 1900 nondiabetic patients who presented with STEMI and underwent percutaneous coronary intervention were included in the study. Multivariable Cox proportional regression analysis was used to determine and compare the predictive performance of triglyceride-glucose (TyG) index, triglyceride-high-density lipoprotein ratio (Ty/HDL) and admission glucose. Results: In multivariable Cox regression analysis, the model based on TyG index had better predictive performance than the Ty/HDL and admission blood glucose. Conclusion: The TyG index is more informative than Ty/HDL and admission glucose level to predict long-term all-cause mortality.