Despite all the advancements in science, medical knowledge, healthcare, and the healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide. The main reasons are the inadequacy of preventive health services and delays in diagnosis due to the increasing population, the failure of physicians to apply guide-based treatments, the lack of continuous patient follow-up, and the low compliance of patients with doctors’ recommendations. Artificial intelligence (AI)-based clinical decision support systems (CDSSs) are systems that support complex decision-making processes by using AI techniques such as data analysis, foresight, and optimization. Artificial intelligence-based CDSSs play an important role in patient care by providing more accurate and personalized information to healthcare professionals in risk assessment, diagnosis, treatment optimization, and monitoring and early warning of CVD. These are just some examples, and the use of AI for CVD decision support systems is rapidly evolving. However, for these systems to be fully reliable and effective, they need to be trained with accurate data and carefully evaluated by medical professionals.

In this study, we aimed to analyze the TURKMI registry to identify the factors associated with delays from symptom onset to treatment that would be the focus of improvement efforts in patients with acute myocardial infarction (AMI) in Turkey. The TURKMI study is a nation-wide registry that was conducted in 50 centers capable of 24/7 primary percutaneous coronary intervention (PCI). All consecutive patients (n=1930) with AMI admitted to coronary care units within 48 hours of symptom onset were prospectively enrolled during a predefined 2-week period between November 1, 2018, and November 16, 2018. All the patients were examined in detail with regard to the time elapsed at each step from symptom onset to initiation of treatment, including door-to-balloon time (D2B) and total ischemic time (TIT). After excluding patients who suffered an AMI within the hospital (2.6%), the analysis was conducted for 1879 patients. Most of the patients (49.5%) arrived by self-transport, 11.8% by emergency medical service (EMS) ambulance, and 38.6% were transferred from another EMS without PCI capability. The median time delay from symptom-onset to EMS call was 52.5 (15-180) min and from EMS call to EMS arrival 15 (10-20) min. In ST-segment elevation myocardial infarction (STEMI), the median D2B time was 36.5 (25-63) min, and median TIT was 195 (115-330) min. TIT was significantly prolonged from 151 (90-285) min to 250 (165-372) min in patients transferred from non-PCI centers. The major significant factors associated with time delay were patient-related delay and the mode of hospital arrival, both in STEMI and non-STEMI. The baseline evaluation of the TURKMI study revealed that an important proportion of patients presenting with AMI within 48 hours of symptom onset reach the PCI treatment center later than the time proposed in the guidelines, and the use of EMS for admission to hospital is extremely low in Turkey. Patient-related factors and the mode of hospital admission were the major factors associated with the time delay to treatment.

The present study aimed to compare long-term outcomes of patients with Medina 0.1.0 left main (LM) bifurcation lesions treated by crossover stenting (COS) versus accurate ostial stenting (AOS). A total of 229 consecutive eligible patients with Medina 0.1.0 LM bifurcation lesions were enrolled and were stratified according to the stenting techniques. The primary end-point was major cardiovascular and cerebral events (MACCE), defined as the combination of all-cause death, target vessel related-myocardial infarction (MI), clinically driven target lesion revascularization (TLR), stroke, or stent thrombosis. COS and AOS were applied to 78 (34%) and 151 (66%) patients, respectively. During a mean of 40.6 ± 21.1 months of follow-up, the rate of MACCE (27.8 vs 12.8%; P =.007) was higher in patients treated with AOS than those treated with the COS technique, mainly driven by more frequent all-cause death (13.9 vs 3.8%, P = .013) and TLR (6.4 vs 15.9%; P = .029). In multivariable Cox regression analysis, AOS strategy was one of the independent predictors of MACCE (odds ratio: 2.166; 95% confidence interval, 1.080–4.340; P = .029). The current study suggests that COS was associated with a better long-term MACCE rate and lower all-cause mortality rate than AOS in patients with Medina 0.1.0 LM bifurcation disease.

It is well known that approximately 20% of patients who undergo cardiac surgery experience weight loss in postoperative period. However, there is a lack of data on postoperative consequences of malnutrition. This study aimed to investigate the relationship between nutritional status and long-term outcomes in patients undergoing isolated coronary artery bypass grafting (CABG). A total of 586 patients who underwent isolated CABG in our center between January 2015 and March 2016 were included in this study. The primary outcome was major adverse cardiac and cerebrovascular events (MACCE) defined as a composite of all-cause death, non-fatal myocardial infarction (MI), and stroke. Patients were divided into two groups based on their MACCE outcomes. Prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores were used to show the nutritional status. The mean follow-up time of the whole study group was 38.08 ± 13.4 months. The follow-up time was 39 ± 13 months in patients with mortality, while it was 20 ± 15 months in those without mortality. The PNI and GNRI values were lower in patients with major adverse cardiac and cerebrovascular events (MACCE) compared to patients without MACCE. The median CONUT score was higher in patients with MACCE. Our study showed that nutritional indices including PNI, CONUT, and GNRI were associated with long-term MACCE and mortality in patients who underwent isolated CABG. The use of these scores in order to predict prognosis in patients treated with CABG seems to be an applicable method in clinical practice.

Objective: Critical limb ischemia (CLI) is a progressive form of peripheral artery disease (PAD). Patients with CLI have poor long-term prognosis. The aim of this study was to investigate the value of sarcopenia in terms of 1-year mortality in patients with below-the-knee lesions who underwent endovascular treatment for CLI. Methods: A total of 190 patients with critical limb ischemia who underwent endovascular treatment (EVT) for below-the-knee (BTK) lesions were enrolled in this study. Sarcopenia was defined using the psoas muscle index (PMI). PMI was obtained by calculating the average psoas muscle area (APMA) of the left and right psoas muscles at the third lumbar vertebra level and dividing by the square of the height (cm²/m²). The primary endpoint of the study was 1-year mortality and the secondary endpoint was 1-year amputation. Patients were divided into 2 groups according to presence of sarcopenia. Results: We detected sarcopenia in 64 patients. The mean age, height, and EF were higher in sarcopenia group. The psoas muscle area, weight, psoas muscle index, body-mass index, albumin level, and GFR were lower in sarcopenia group. The incidence of amputation (11.9% vs 29.7%, p = 0.003) and mortality (15.1% vs 35.9%, p = 0.001) were higher in patients with sarcopenia. Univariate and multivariate logistic regression analyses were used to determine the independent predictors of amputation and mortality. The survival curve for 1-year using the sarcopenia was analyzed using the Kaplan–Meier method, and statistical analysis was performed with the log-rank test. The presence of sarcopenia, glomerular filtration rate level, and low ejection fraction were found to be independent predictors of mortality. Conclusions: Sarcopenia was associated with 1-year mortality in patients with CLI undergoing EVT for BTK lesions. Also, patients with sacropenia had higher 1-year amputation rates. Sarcopenia may be a simple method to help patient selection, assessment, and intervention strategy for EVT and may improve patient outcomes.

Thrombotic process is triggered in the course of Coronavirus disease-2019 (COVID-19), which is a global pandemic, and both arterial and venous systems are affected. ST-elevation myocardial infarcti...