Heart Failure Awareness Survey in a Turkish Population: HFAS-TR.

OBJECTIVE: Heart failure is a leading cause of death and the most common diagnosis leading to hospitalization. Its awareness is lower than that of other cardiovascular diseases, both in the general population and among patients with heart failure (HF). This study aimed to establish the current level of knowledge about HF in patients with HF with reduced ejection fraction (HFrEF) and mildly reduced ejection fraction (HFmrEF) in Türkiye. METHODS: This questionnaire-based survey study is multicenter, conducted across 34 centers from December 2021 to July 2022. We performed a survey consisting of two sets of questions focusing on individual characteristics of the patients and HF-related knowledge. RESULTS: The study included a total of 2,307 outpatient HF patients, comprising 70.5% males and 29.5% females with a mean age of 64.58 ± 13 (56-74) years and a mean body mass index value of 32.5 ± 10 kg/m2. HFrEF and HFmrEF were determined in 74.7% and 25.3% of patients, respectively. Thirty percent of the patients were unaware that they had HF. While 28.7% of the patients thought that they had sufficient information about HF, 71.3% believed they lacked adequate knowledge. In the study, 25.2% of the participants identified dyspnea, 22% identified tiredness, and 25.4% identified leg edema as the most common symptoms of HF. Only 27.4% of patients recognized all three typical symptoms of HF. CONCLUSION: We found that the study population's knowledge about HF symptoms and the nature of the disease was poor. Educational and awareness activities are necessary to optimize outcomes and benefits.

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.

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.

The relationship between pericardial effusion and pulmonary involvement, prognosis, mortality in COVID-19 patients.

Aim    Comprehensive studies on the coexistence of COVID-19 and pericardial effusion (PEff) are limited. In this study, we investigated the relationship between pneumonia severity and PEff, predisposing factors, and the effect of PEff on clinical prognosis and mortality in COVID-19 patients.Material and methods    Between March and November 2020, 5 575 patients were followed up in our pandemic hospital due to COVID-19. 3 794 patients with positive polymerase chain reaction (PCR) test results and thoraxcomputerized tomography (CT) imaging at admission were included in the study. The clinical and demographic characteristics, CT images, hematological and biochemical parameters of these patients were retrospectively examined. Pulmonary involvement of 3794 patients was divided into three groups and its relationship with PEff was investigated retrospectively.Results    There were 560 patients who did not have pulmonary involvement, 2 639 patients with pulmonary involvement below 50 %, and 595 patients with 50 % or more pulmonary involvement. As pulmonaryinvolvement or the severity of the disease increased, male gender and advanced age become statistically significant. The mean age of patients with PEff was higher, and PEff was more common in males. Patients with PEff had more comorbid diseases and significantly elevated serum cardiac and inflammatory biomarkers. The need for intensive care and mortality rates were higher in these patients. While the in-hospital mortality rate was 56.9 % in patients with PEff and pulmonary involvement above 50 %, in-hospital mortality rate was 34.4 % in patients with pulmonary involvement above 50 % and without PEff (p<0.001).The presence of PEff during admission for COVID-19 disease, the appearance of PEff or increase in the degree of PEff during follow-up were closely related to mortality and prognosis.Conclusion    As the severity of pulmonary involvement or the clinical severity of the disease increased, PEff occurred in patients or the degree of PEff increased. The clinical prognosis of patients presenting with PEff was quite poor, and the frequency of intensive care admissions and mortality were significantly higher. PEff was an important finding in the follow-up and management of patients with COVID-19, and it reflected the clinical prognosis.

Does new onset and pre-existing atrial fibrillation predict mortality in COVID-19 patients?

BACKGROUND: Coronavirus Disease-2019 (COVID-19), caused by Severe Acute Respiratory Syndrome-Coronavirus-2, still remains prevalent and severe. We aimed to evaluate the effects of pre-existing atrial fibrillation and new-onset atrial fibrillation (NOAF) on the clinical severity and mortality of COVID-19. RESULTS: Between April and December 2020, 5577 patients with positive PCR and/or COVID-19 compatible findings in computed tomography hospitalized were enrolled retrospectively. Total and in-hospital mortality, need for intensive care unit (ICU), need for mechanical ventilation, and recurrent hospitalization results of 286 patients with pre-existing AF before hospitalization and 82 patients with NOAF during hospitalization were evaluated. Preexisting AF was associated with a 2-fold increase in total and in-hospital mortality [OR (2.16 (1.62-2.89), 2.02 (1.48-2.76), P < 0.001, respectively]. NOAF was associated with a 14-fold increase in total mortality and a 12-fold increase in in-hospital mortality [OR(14.72 (9.22-23.5), 12.56 (8.02-19.68), P < 0.001], respectively]. However, pre-existing AF and NOAF resulted in increased ICU admission, mechanical ventilation, and recurrent hospitalization. In the Cox regression analysis, NOAF was observed as an independent risk factor for mortality. CONCLUSIONS: Pre-existing AF and in-hospital NOAF were associated with increased mortality and severity in hospitalized COVID-19 patients. In addition, NOAF was observed as an independent prognostic indicator in terms of total mortality.

Relationship Between Blood Lipid Levels and Mortality in Hospitalized COVID-19 Patients.

People with comorbid conditions are at increased risk of developing severe/fatal coronavirus disease 2019 (COVID-19). We aimed to investigate the relationship between lipid levels and mortality in patients hospitalized for COVID-19 infection. In this retrospective study, we collected the details of 5274 COVID-19 patients who were diagnosed using the polymerase chain reaction and/or computed tomography and were hospitalized between March and November 2020. Patients (n = 4118) whose blood lipid levels were checked within the first 24 h after hospitalization were included in the study. Multivariable cox proportional hazards regression was used to assess the relationship between lipid variables such as low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) and death. There was a statistically significant association between LDL-C, HDL-C, and TG levels and the risk of death (P =.002, <.001, and .035, respectively). Low and high LDL-C, low HDL-C, and high TG levels were negatively associated with COVID-19-related mortality. Blood lipid levels may be useful predictors of mortality in COVID-19 patients.

Association between previous anticoagulant use and mortality among hospitalized patients with COVID-19.

Although COVID-19 disease primarily affects the respiratory system, it has been seen in many studies that it causes thromboembolic (TE) events in many tissues and organs. So that, to prevent TE can reduce mortality and morbidity. In this context, this study aimed to investigate the relationship between the previous use of warfarin or other new direct oral anticoagulants (OAC) and mortality in patients hospitalized with a diagnosis of COVID-19 before hospitalization. A total of 5575 patients who were diagnosed with COVID-19 were hospitalized and started treatment between March 21 and November 30, 2020 were included in the study. The primary outcome was in-hospital all-cause mortality. A retrospective cohort study design was planned. Patients were followed up until death or censoring on November 30, 2020. The candidate predictors for primary outcome should be clinically and biologically plausible, and their relationships with all-cause death should be demonstrated in previous studies. We considered all candidate predictors included in the model in accordance with these principles. The main candidate predictor was previous OAC use. The primary analysis method was to compare the time to deaths of patients using and not using previous OAC by a multivariable Cox proportional hazard model (CPHM). In the CPHM, previous OAC use was found to be associated with a significantly lower mortality risk (adjusted hazard ratio 0.62, 95% CI 0.42-0.92, p = 0.030). In hospitalized COVID-19 patients, in patients who previously used anticoagulantswas associated with lower risk of in-hospital death than in those who did not.

Significance of MPV, RDW and PDW with the Severity and Mortality of COVID-19 and Effects of Acetylsalicylic Acid Use.

We aimed to investigate association between mean platelet volume (MVP), platelet distribution width (PDW) and red cell distribution width (RDW) and mortality in patients with COVID-19 and find out in which patients the use of acetylsalicylic acid (ASA) affects the prognosis due to the effect of MPV on thromboxan A2. A total of 5142 patients were divided into those followed in the intensive care unit (ICU) and those followed in the ward. Patient medical records were examined retrospectively. ROC analysis showed that the area under curve (AUC) values were 0.714, 0.750, 0.843 for MPV, RDW and D-Dimer, the cutoff value was 10.45fl, 43.65fl, 500.2 ng/mL respectively. (all P < .001). Survival analysis showed that patients with MPV >10.45 f/l and D-Dimer >500.2 ng/mL, treatment with ASA had lower in-hospital and 180-day mortality than patients without ASA in ICU patients (HR = 0.773; 95% CI = 0.595-0.992; P = .048, HR = 0.763; 95% CI = 0.590-0.987; P = .036). Administration of low-dose ASA in addition to anti-coagulant according to MPV and D-dimer levels reduces mortality.