Evaluation of pan-Immuno-Inflammation value for In-hospital mortality in acute pulmonary embolism patients.

Background: Pan-immuno-inflammation value (PIV) is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body. Objective: The aim of this study was to investigate the prognostic relevance of PIV in predicting in-hospital mortality in acute pulmonary embolism (PE) patients and to compare it with the well-known risk scoring system, PE severity index (PESI), which is commonly used for a short-term mortality prediction in such patients. Methods: In total, 373 acute PE patients diagnosed with contrast-enhanced computed tomography were included in the study. Detailed cardiac evaluation of each patient was performed and PESI and PIV were calculated. Results: In total, 60 patients died during their hospital stay. The multivariable logistic regression analysis revealed that baseline heart rate, N-terminal pro-B-type natriuretic peptide, lactate dehydrogenase, PIV, and PESI were independent risk factors for in-hospital mortality in acute PE patients. When comparing with PESI, PIV was non-inferior in terms of predicting the survival status in patients with acute PE. Conclusion: In our study, we found that the PIV was statistically significant in predicting in-hospital mortality in acute PE patients and was non-inferior to the PESI.

Comparison of outcomes between single long stent and overlapping stents: a meta-analysis of the literature.

OBJECTIVES: There is no consensus on whether to treat diffuse coronary artery lesions with a single long stent (SLS) or by overlapping two or more stents (OLS). The goal of this review was to compare the outcomes of these two approaches through a meta-analysis of the literature. METHODS: We searched for relevant studies in MEDLINE, Scopus, EMBASE, Google Scholar, and the Cochrane Library. Our meta-analysis included 12 studies (n = 6414) that reported outcomes during the follow-up period. RESULTS: Individuals who received OLS had a greater risk of cardiac mortality and target lesion revascularization (TLR) than those who received SLS (RR: 1.51, CI: 1.03-2.21, p = 0.03, I2 = 0% and RR: 1.64, CI: 1.02-2.65, p = 0.04, I2 = 38%, respectively). The fluoroscopy period in the OLS group was longer than in the SLS group (SMD: 0.35, CI: 0.25-0.46, p < 0.01, I2 = 0%). more contrast volume was sued for the OLS group; however, there was substantial variability in the pooled analysis (I2 = 95%). In terms of all outcomes, there were no differences between stent generation types. CONCLUSION: In the first meta-analysis of mainly observational data comparing OLS vs. SLS for long coronary lesions, OLS had higher rates of cardiac mortality and TLR as well as longer fluoroscopy times compared to SLS.

Left Ventricular Mass Index Predicts Pacemaker-Induced Cardiomyopathy in Patients with Dual Chamber Permanent Pacemakers Implanted Due to Complete Atrioventricular Block.

Background: Pacing-induced cardiomyopathy (PICM) occurs as a result of high-burden right ventricular (RV) pacing, which usually develops in patients with complete atrioventricular (AV) block. There is a paucity of data on the association between PICM and pre-implantation left ventricular mass index (LVMI). Thus, the purpose of this study was to analyze the influence of LVMI on PICM in patients who had dual chamber permanent pacemakers (PPMs) implanted secondary to complete AV block. Methods: Overall, 577 patients with dual chamber permanent pacemakers (PPMs) were classified into three tertiles according to their pre- implantation LVMI. The average follow-up period was 57 ± 38 months. The baseline characteristics, laboratory and echocardiographic variables were compared between the tertiles. PICM was defined as a ≥ 10% drop in left ventricular ejection fraction (LVEF) from pre-implantation with a resultant LVEF < 50%. PICM occurred in 42 (7.2%) patients. The independent predictors of PICM development, as well as the impact of LVMI on PICM, were investigated. Results: After controlling for confounding baseline variables, the tertile with the greatest LVMI had a 1.8 times higher risk for the development of long-term PICM compared with the tertile with the lowest LVMI, which was accepted as the reference group. A receiver operating characteristic curve analysis revealed that the best LVMI cut- off value for predicting long-term PICM was 109.8 g/m2 with 71% sensitivity and 62% specificity (area under curve: 0.68; 95% confidence interval: 0.60-0.76; p < 0.001). Conclusions: This investigation revealed that pre-implantation LVMI had a prognostic role in predicting PICM in patients with an implanted dual chamber PPM due to complete AV block.

Evaluating systemic immune-inflammation index in patients with implantable cardioverter defibrillator for heart failure with reduced ejection fraction.

BACKGROUND: Pro-inflammatory pathways play an important role in the follow-ups of patients with intracardiac defibrillators (ICDs) for heart failure (HF) reduced with ejection fraction (HFrEF). A newly defined index - the systemic immune-inflammation index (SII)-has recently been reported to have prognostic value in patients with cardiovascular disease. This study's aim is to evaluate the SII value regarding its association with long-term mortality and appropriate ICD therapy during a 10-year follow-up. METHODS: This retrospective study included 1011 patients with ICD for HFrEF. The SII was calculated as the neutrophil-to-lymphocyte ratio × total platelet count in the peripheral blood. The study population was divided into two groups according to the SII's optimal cut-off value to predict long-term mortality. The long-term prognostic impact of SII on these patients was evaluated regarding mortality and appropriate ICD therapy. RESULTS: The patients with a higher SII (≥1119) had significantly higher long-term mortality and appropriate ICD therapy rates. After adjustment for all confounding factors, the long-term mortality rate was 5.1 for a higher SII. (95% CI: 2.9-8.1). The long-term appropriate ICD therapy rate was 2.0 for a higher SII (95% CI: 1.4-3.0). CONCLUSION: SII may be an independent predictive marker for both long-term mortality and appropriate ICD therapy in patients with HFrEF.

Evaluating the systemic immune-inflammation index for in-hospital and long-term mortality in elderly non-ST-elevation myocardial infarction patients.

INTRODUCTION: This investigation aimed to evaluate the predictive value of the systemic immune-inflammation index (SII) for in-hospital and long-term mortality in elderly patients with non-ST-elevation myocardial infarction (NSTEMI). METHODS: This retrospective investigation included 314 consecutive elderly NSTEMI patients in a tertiary center. SII is computed as (neutrophils × platelets)/lymphocytes. Based on the increased SII values, we classified the research sample into three tertile groups as T1, T2, and T3. The in-hospital and long-term mortality were defined as the primary outcomes. RESULTS: Patients in the T3 group had lower chances of survival in the in-hospital and long-term periods compared with those in the T2 and T1 groups. According to the multivariable Cox regression models, SII independently related with in-hospital (hazard ratio (HR): 1.001, 95% CI: 1.000-1.1003, p = 0.038) and long-term mortality (HR: 1.004, 95% CI: 1.002-1.006, p < 0.001). To predict long-term mortality, the optimal SII value was > 2174 with 80% sensitivity and 85.4% specificity. SII had a slightly lower but statistically non-inferior discriminative ability for long-term mortality compared with the Charlson comorbidity index (CCI) in the receiver operating characteristic curve comparison (AUC: 86.2 vs. AUC: 890, p > 0.05). Additionally, combining SII with traditional risk factors and the CCI revealed a significant improvement in C-statistics. CONCLUSION: This investigation may be the first to demonstrate that SII is independently linked with in-hospital and long-term mortality in elderly NSTEMI patients.

Cardiac variables associated with atrial fibrillation occurrence and mortality in octogenarians implanted with dual chamber permanent pacemakers.

BACKGROUND: There is a dearth of data on the predictors of atrial fibrillation (AF) and the association between AF and long-term mortality in octogenarians with dual-chamber permanent pacemakers (PPM). We investigate the occurrence of AF and whether it is associated with overall mortality among octogenarians with dual-chamber PPM implants. METHODS: Three hundred and fifty-four patients with PPM implants were divided into two groups based on their long-term survival status. Baseline characteristics, laboratory variables, and echocardiographic variables were then compared between the groups, and independent predictors of the long-term incidence of AF and mortality were determined. RESULTS: Multivariable Cox regression analysis performed after adjusting for the parameters in univariable analysis revealed that diabetes, urea levels, albumin levels, paced QRS duration, and the frequency of atrial high-rate episodes (AHREs) were independently associated with a long-term risk of AF in octogenarians after having dual chamber PPMs implanted. The left ventricular (LV) ejection fraction, left atrial (LA) anteroposterior diameter, and AHRE + AF (HR 1.498, 95%CI 1.003-2.237, p = 0.048) were independent risk factors for the long-term mortality in octogenarians receiving dual-chamber PPMs implants. CONCLUSION: The occurrence of AF following dual-chamber PPM implantation is a significant prognostic factor in octogenarian patients.

Predictive value of uric acid/albumin ratio for the prediction of new-onset atrial fibrillation in patients with ST-Elevation myocardial infarction.

Background: There is a lack of studies supporting the association between the uric acid/albumin ratio (UAR) and the development of new-onset atrial fibrillation (NOAF) in ST-elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). Objective: The objective of the study was to assess the efficacy of the UAR for predicting the occurrence of NOAF in STEMI patients undergoing pPCI. Methods: We recruited 1484 consecutive STEMI patients in this retrospective and cross-sectional investigation. The population sample was classified based on the development of NOAF during hospitalization. NOAF was defined as an atrial fibrillation (AF) observed during hospitalization in patients without a history of AF or atrial flutter. The UAR was computed by dividing the serum uric acid (UA) level by serum albumin level. Results: After pPCI, 119 STEMI patients (8%) were diagnosed with NOAF. NOAF patients had higher serum UAR levels than individuals who did not have NOAF. According to the multivariable logistic regression model, the UAR was an independent predictor for NOAF in STEMI patients (OR: 6.951, 95% CI: 2.978-16.28, p < 0.001). The area under curve (AUC) value of the UAR in a receiver operating characteristics (ROC) evaluation was 0.758, which was greater than those of its components (albumin [AUC: 0.633] and UA [AUC: 0.647]) and C-reactive protein (AUC: 0.714). The optimal UAR value in predicting NOAF in STEMI patients was greater than 1.39, with a sensitivity of 69% and a specificity of 74.5%. Conclusion: To the best of our knowledge, this is the first study indicating that the UAR was an independent predictor of NOAF development in STEMI patients.

A simple formula to predict echocardiographic diastolic dysfunction-electrocardiographic diastolic index.

BACKGROUND: Diastolic dysfunction (DD) in transthoracic echocardiography (TTE), which is a poorly understood entity due to its limited treatment, is frequently encountered in daily clinical practice of cardiology. An electrocardiographic (ECG) index to predict echocardiographic DD has not been elucidated yet. We aim to exhibit an electrocardiographic diastolic index (EDI) to predict TTE DD with high sensitivity and specificity. MATERIALS AND METHODS: In this retrospective investigation, we tested the DD predictive value of EDI [aVL R amplitudeâ€¯× (V1S amplitude + V5R amplitude)/D1 P amplitude] on 204 consecutive adult patients without known coronary artery disease. Patients were divided into tertiles according to their EDI starting from the lowest one. The power of the EDI was also compared with the subunits of its formula by a receiver operating curve (ROC) analysis. RESULTS: After adjustment for confounding baseline variables, EDI in tertile 3 was associated with 24.2-fold hazard ratio of DD (odds ratio 25.2, 95% confidence interval [CI] 11.2-51.1, p < 0.001). The Spearman correlation analysis revealed moderate correlation between E/e' and EDI. A ROC analysis showed that the optimal cut-off value of the EDI to predict DD was 8.53 mV with 70% sensitivity and 70% specificity (area under the curve 0.78; 95% CI 0.71-0.84; p < 0.001). CONCLUSION: The electrocardiographic diastolic index (EDI), which is an inexpensive, feasible, and easy to use formula, appears to have a considerable role to predict diastolic dysfunction (DD) in adult patients.

Preoperative cardiac risk factors associated with in-hospital mortality in elderly patients without heart failure undergoing hip fracture surgery: a single-centre study.

INTRODUCTION: In the present study, our aim was to ascertain the preoperative cardiac risk factors related to the in-hospital mortality in the elderly patients (aged over 65 years) who required preoperative cardiology consultation for hip fracture surgery. MATERIAL AND METHODS: The present study was a retrospective, single-centre study, which enrolled consecutive elderly patients without heart failure scheduled for hip fracture surgery in our institution. In all patients, an anesthesiologist performed a detailed preoperative evaluation and decided the need for the cardiac consultation. Patients underwent preoperative cardiac evaluation by a trained cardiologist using the algorithms proposed in the recent preoperative guidelines. The in-hospital mortality was the main outcome of the study. RESULTS: In total, 277 elderly patients undergoing hip fracture surgery were enrolled in this analysis. The overall in-hospital mortality rate was 12.1% (n=30 cases). In a multivariate analysis, we found that insulin dependency, cancer, urea, presence of atrial fibrillation (AF) (OR: 3.906; 95% CI 1.470 to 10.381; p=0.006) and pulmonary artery systolic pressure (PASP) (OR: 1.057; 95% CI 1.016 to 1.100; p=0.006) were the predictors of in-hospital mortality. The receiver operating characteristic curve analysis revealed that the optimal value of PASP in predicting the in-hospital mortality was 35 mm Hg (area under the curve=0.71; 95% CI 0.60 to 0.81, p<0.001) with sensitivity of 87.7% and specificity of 59.5%. CONCLUSION: The present research found that the preoperative cardiac risk factors, namely AF and PASP, might be associated with increased in-hospital mortality in elderly patients without heart failure undergoing hip fracture surgery.

The significance of the morphology-voltage-P-wave duration (MVP) ECG score for prediction of in-hospital and long-term atrial fibrillation in ischemic stroke.

BACKGROUND: Atrial fibrillation (AF) is the most common preventable cause of stroke. Diagnosis of new AF is frequent after acute ischemic stroke (AIS). We aimed to evaluate the predictive value of the recently developed morphology-voltage-P-wave duration (MVP) ECG risk score for in-hospital and long-term AF diagnosis following AIS. MATERIAL AND METHODS: In this observational investigation, we evaluated the ability of the MVP ECG risk score to predict AF in 266 consecutive patients with AIS. The study population was divided into three groups according to their calculated MVP ECG risk score on admission electrocardiography. The groups were compared in terms of their predictive value for in-hospital and long-term AF diagnosis. RESULTS: After adjustment for confounding baseline variables, MVP ECG risk score 5-6 group had 13.2 times higher rates of in-hospital AF compared to MVP ECG risk score 0-2 group, which was used as the reference group. For long-term follow-up, MVP ECG risk score 5-6 group had 5.2 times higher rates of long-term AF compared to MVP ECG risk score 0-2 group. A ROC analysis showed that the optimal cut-off value of the MVP ECG risk score to predict in-hospital AF was 4 with 78% sensitivity and 76% specificity (AUC: 0.80; 95% CI: 0.64-0.96; p < 0.001), the optimal cut-off value of the MVP ECG risk score to predict long-term AF was 3 with 85% sensitivity and 59% specificity (AUC: 0.81; 95% CI: 0.76-0.86; p < 0.001). CONCLUSION: The MVP ECG risk score, which can be easily calculated from a surface ECG, can be used to guide who needs stricter monitoring for the diagnosis of long-term AF in patients with AIS.

Is the use of ACE inb/ARBs associated with higher in-hospital mortality in Covid-19 pneumonia patients?

INTRODUCTION: The present research aimed to determine the relation between the use of angiotensin-converting enzyme inhibitors (ACE inh) and angiotensinogen receptor blockers (ARBs) and in-hospital mortality of hypertensive patients diagnosed with Covid-19 pneumonia. MATERIAL AND METHOD: In this retrospective study, we included 113 consecutive hypertensive patients admitted due to Covid-19 infection. In all patients, Covid-19 infection was confirmed with using reverse-transcription polymerase chain reaction. All patients were on ACE inh/ARBs or other antihypertensive therapy unless no contraindication was present. The primary outcome of the study was the in-hospital all-cause mortality. RESULTS: In total, 113 hypertensive Covid-19 patients were included, of them 74 patients were using ACE inh/ARBs. During in-hospital follow up, 30.9% [n = 35 patients] of patients died. The frequency of admission to the ICU and endotracheal intubation were significantly higher in patients using ACE inh/ARBs. In a multivariable analysis, the use of ACE inh/ARBs was an independent predictor of in-hospital mortality (OR: 3.66; 95%CI: 1.11-18.18; p= .032). Kaplan-Meir curve analysis displayed that patients on ACE inh/ARBs therapy had higher incidence of in-hospital death than those who were not. CONCLUSION: The present study has found that the use of ACE inh/ARBs therapy might be associated with an increased in-hospital mortality in patients who were diagnosed with Covid-19 pneumonia. It is likely that ACE inh/ARBs therapy might not be beneficial in the subgroup of hypertensive Covid-19 patients despite the fact that there might be the possibility of some unmeasured residual confounders to affect the results of the study.

Effects of SGLT2 inhibitors on right ventricular function in heart failure patients: Updated meta-analysis of the current literature.

BACKGROUND: There is some discrepancy in current studies concerning the effect of sodium-glucose cotransporter type 2 inhibitors (SGLT2i) on right ventricular (RV) functions in heart failure (HF) patients. Hence, this meta-analysis was focused on determining the impact of SGLT2i on RV functions in such individuals. MATERIAL AND METHODS: Two independent investigators searched PubMed, Google Scholar, and the Cochrane Library for articles of interest. To analyze heterogeneity, Higgins' I2 as well as prediction intervals and Egger's test were used to assess heterogeneity. The Newcastle-Ottawa standard ratings approach was used to assess the quality of observational studies. The ROBINS-I risk of bias algorithm was used to assess bias risks of randomized studies. RESULTS: This meta-analysis evaluated 8 studies in total. Over the follow-up time frame, patients who used SGLT2i had substantially lower systolic pulmonary artery pressure and higher tricuspid annular plane systolic excursion values (mean difference [MD] = -5.23 [-7.81; -2.66] and, MD = 1.47 [1.01; 1.93]; P <0.01, respectively). There was no significant difference in RVS' values between follow-up and baseline (MD = 1.54 [-0.19; 3.26]; P = 0.08). However, as compared to the baseline period, fractional area contraction values were substantially larger at the end of the follow-up (MD = 5.52 [4.23; 6.82]; P <0.01). CONCLUSION: To the best of our knowledge, this is the first meta-analysis assessing the impact of SGLT2i on RV function in HF patients. Our findings suggest that SGLT2i may improve RV performance in HF patients.

Selecting the best optimizers for deep learning-based medical image segmentation.

Purpose: The goal of this work is to explore the best optimizers for deep learning in the context of medical image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies. Approach: Most successful deep learning networks are trained using two types of stochastic gradient descent (SGD) algorithms: adaptive learning and accelerated schemes. Adaptive learning helps with fast convergence by starting with a larger learning rate (LR) and gradually decreasing it. Momentum optimizers are particularly effective at quickly optimizing neural networks within the accelerated schemes category. By revealing the potential interplay between these two types of algorithms [LR and momentum optimizers or momentum rate (MR) in short], in this article, we explore the two variants of SGD algorithms in a single setting. We suggest using cyclic learning as the base optimizer and integrating optimal values of learning rate and momentum rate. The new optimization function proposed in this work is based on the Nesterov accelerated gradient optimizer, which is more efficient computationally and has better generalization capabilities compared to other adaptive optimizers. Results: We investigated the relationship of LR and MR under an important problem of medical image segmentation of cardiac structures from MRI and CT scans. We conducted experiments using the cardiac imaging dataset from the ACDC challenge of MICCAI 2017, and four different architectures were shown to be successful for cardiac image segmentation problems. Our comprehensive evaluations demonstrated that the proposed optimizer achieved better results (over a 2% improvement in the dice metric) than other optimizers in the deep learning literature with similar or lower computational cost in both single and multi-object segmentation settings. Conclusions: We hypothesized that the combination of accelerated and adaptive optimization methods can have a drastic effect in medical image segmentation performances. To this end, we proposed a new cyclic optimization method (Cyclic Learning/Momentum Rate) to address the efficiency and accuracy problems in deep learning-based medical image segmentation. The proposed strategy yielded better generalization in comparison to adaptive optimizers.

The Association of Serum Uric Acid/Albumin Ratio with No-Reflow in Patients with ST Elevation Myocardial Infarction.

The goal of this investigation was to explore the relationship between serum uric acid/albumin ratio (UAR) and no-reflow (NR) in ST elevation myocardial infarction (STEMI) patients (n = 838) who underwent primary percutaneous coronary intervention (pPCI). Angiographic NR was defined as thrombolysis in myocardial infarction (TIMI) flows 0, 1, and 2 in the absence of coronary spasm or dissection. NR developed in 91 (10.9%) STEMI patients. Patients with NR had higher UAR and according to multivariable logistic regression models, a high UAR was an independent risk factor for NR. The area under the curve (AUC) value of the UAR was .760 (95%CI: .720-.801) in a receiver-operating characteristics curve (ROC) assessment. Notably, the UAR AUC value was greater than that of its components: albumin (AUC: .642) and serum uric acid (AUC: .637) (P < .05 for both comparisons). The optimum UAR value in detecting NR in STEMI patients was >1.21 with a sensitivity of 82% and a specificity of 67%. This was the first study to report that the UAR was independently associated with NR in STEMI patients who underwent pPCI.

Evaluation of Intermountain Risk Score for Short- and Long-Term Mortality in ST Elevation Myocardial Infarction Patients.

The aim of this study was to examine the Intermountain Risk Score (IMRS) for short- and long-term mortality in ST elevation myocardial infarction (STEMI) patients and compare it with the well-known risk scores, such as the Thrombolysis in Myocardial Infarction (TIMI) and the Global Registry of Acute Coronary Events (GRACE). In this retrospective and cross-sectional study, 1057 consecutive patients with STEMI were evaluated. The end-points of the study were short- and long-term mortality. The overall mortality rate was 16% (n = 170 patients). The IMRS was significantly higher in STEMI patients who did not survive compared with those who survived. According to multivariable COX proportional regression analysis, the IMRS was independently related to both short- (HR: 1.482, 95% CI: 1.325-1.675, p < .001) and long-term mortality (HR: 1.915, 95% CI: 1.711-2.180, p < .001). The comparison of receiver operating characteristic curves revealed that the IMRS had non-inferior predictive capability for short- and long-term mortality than the TIMI and GRACE risk scores. To the best of our knowledge, this is the first study to show that the IMRS can predict short- and long-term prognosis of patients with STEMI. Further, the IMRS' predictive value for overall mortality was non-inferior compared with TIMI and GRACE scores.

The association between whole blood viscosity and high thrombus burden in patients with non-ST elevation myocardial infarction.

BACKGROUND: Prior studies showed that patients with elevated whole blood viscosity (WBV) had a higher risk of arterial thrombosis, acute stent thrombosis, and left ventricular apical thrombus presence after acute coronary syndrome. This investigation aimed to determine the association between WBV and high thrombus burden (HTB) in non-ST elevation myocardial infarction (NSTEMI) patients treated with percutaneous coronary intervention (PCI). METHODS: This retrospective cohort investigation included data from consecutive 290 NSTEMI patients who received PCI at a tertiary institution. Patients with grade 1-3 thrombus burden were categorized as having low thrombus burden (LTB) (n = 178), whereas those with grade 4-5 thrombus burden were classified as having HTB (n = 112). WBV at high shear rate (HSR) and low shear rate (LSR) were estimated using hematocrit (HTC) and total protein levels. RESULTS: Patients with HTB had higher WBV at both LSR and HSR. In HTB patients, the frequency of infarct-related artery (IRA) reference vessel diameter, distal embolization, and no-reflow was also higher. Multivariable logistic regression models indicated that WBV at LSR (odds ratio [OR], 1.028; 95% confidence interval [CI], 1.014-1.043; P < 0.001) and HSR (OR, 1.606; 95% CI, 1.334-1.953; P < 0.001) were independent predictors of HTB in NSTEMI patients. Notably, the area under the curve value of WBV at both shear rates was greater than that of its components, including total protein and HTC. CONCLUSION: This is the first study showing that WBV at both shear rates is a significant predictor of HTB in NSTEMI patients.

The Triglyceride-Glucose Index Can Predict Long-Term Major Adverse Cardiovascular Events in Turkish Patients With High Cardiovascular Risk.

Objective: There is an evidence gap regarding the predictive accuracy of the triglyceride-glucose (TyG) index for long-term major adverse cardiovascular events (MACEs) in individuals with high cardiovascular risk. The aim of this investigation was to evaluate the predictive value of the TyG index for long-term MACEs in patients at high cardiovascular risk. Methods: In total, 483 patients with high cardiovascular risk were included in this analysis. The study population was separated into 2 groups depending on the occurrence of long-term MACEs. The independent predictors of long-term MACEs in patients with high cardiovascular risk were investigated. The long-term prognostic value of the TyG index in these patients was evaluated in terms of MACEs. Results: Age, male sex, diabetes mellitus, and the TyG index were demonstrated to be independent predictors of long-term MACE occurrence in patients with high cardiovascular risk. The TyG index was independently related to long-term MACEs in patients with high cardiovascular risk (hazard ratio, 1.003; 95% confidence interval [CI], 1.001-1.006; p=0.011). The receiver operating characteristic curve revealed that the optimum value of the TyG index to predict long-term MACEs in the overall study cohort was >9.68, with 65% sensitivity and 63% specificity (area under the curve, 0.71; 95% CI, 0.65-0.77; p<0.001). Conclusion: The TyG index was demonstrated to be an independent predictor of long-term MACE occurrence in patients with high cardiovascular risk who had not been previously diagnosed with cardiovascular disease.