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.

Hypertension and Occupational Health: A General Overview and Expert Consensus Suggestions.

Hypertension is a common public health issue, and its incidene increases parallel to age. It is inevitable that certain occupational conditions may pose risks for high blood pressure or cause difficulties in managing blood pressure. Working under specific circumstances may compromise the safety of individuals with hypertension and potentially others. Therefore, it is crucial to implement activities that enhance awareness of hypertension, to ensure regular periodic examinations, and to establish necessary precautions in the workplace for the health of employees and the public. Given the limited resources offering guidance on hypertension in the context of occupational health, the authors of this paper, who hail from different disciplines, have prepared a set of consensus-based suggestions.

The Role of HATCH Score in the Prediction of Ischemic Cerebrovascular Events in Patients with Heart Failure and Atrial Fibrillation.

The presence of both atrial fibrillation (AF) and heart failure (HF) increases the risk of an ischemic cerebrovascular event (CVE) by roughly fivefold. The HATCH score is a score used to predict new-onset AF. Although there are some differences, it contains risk factors similar to the CHA2DS2-VASc score. Our study aimed to investigate the relationship between the HATCH score and ischemic CVE. This retrospective study obtained data from 1719 HF patients between 2015 and 2022. About 673 patients with AF were included in the study. In the univariate and multivariate Cox regressions, we found that CHA2DS2-VASc and HATCH scores were independent predictors of ischemic CVE (p = 0.001 and < p = 0.001, respectively). The ROC analysis, AUC for the CHA2DS2-VASc score was 0.884 (95% CI 0.828-0.940,

Relationship between platelet/hemoglobin and radial thrombus in patients with coronary angiography via radial access.

Aim: To predict the development of radial artery thrombus (RAT) in patients with radial approach coronary angiography of platelet-to-hemoglobin ratio (PHR). Materials & methods: This study was designed to evaluate the relationship between RAT and PHR. A total of 1156 patients who had coronary angiography via the transradial approach between 2021 and 2022 in the authors' center were included in the study. Results: Radial thrombus was detected in 52 (4.5%) patients. PHR was higher in the group with thrombus and was statistically significant. In the regression model, PHR was an independent predictor of the development of radial thrombus (p = 0.007). Conclusion: High PHR may be an independent predictor of the development of radial thrombus.

Turkish Real Life Atrial Fibrillation in Clinical Practice: TRAFFIC Study.

BACKGROUND: Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide and is associated with an increased risk of thromboembolism, ischemic stroke, impaired quality of life, and mortality. The latest research that shows the prevalence and incidence of AF patients in Türkiye was the Turkish Adults' Heart Disease and Risk Factors study, which included 3,450 patients and collected data until 2006/07.The Turkish Real Life Atrial Fibrillation in Clinical Practice (TRAFFIC) study is planned to present current prevalence data, reveal the reflection of new treatment and risk approaches in our country, and develop new prediction models in terms of outcomes. METHODS: The TRAFFIC study is a national, prospective, multicenter, observational registry. The study aims to collect data from at least 1900 patients diagnosed with atrial fibrillation, with the participation of 40 centers from Türkiye. The following data will be collected from patients: baseline demographic characteristics, medical history, vital signs, symptoms of AF, ECG and echocardiographic findings, CHADS2-VASC2 and HAS-BLED (1-year risk of major bleeding) risk scores, interventional treatments, antithrombotic and antiarrhythmic medications, or other medications used by the patients. For patients who use warfarin, international normalized ratio levels will be monitored. Follow-up data will be collected at 6, 12, 18, and 24 months. Primary endpoints are defined as systemic embolism or major safety endpoints (major bleeding, clinically relevant nonmajor bleeding, and minor bleeding as defined by the International Society on Thrombosis and Hemostasis). The main secondary endpoints include major adverse cardiovascular events (systemic embolism, myocardial infarction, and cardiovascular death), all-cause mortality, and hospitalizations due to all causes or specific reasons. RESULTS: The results of the 12-month follow-up of the study are planned to be shared by the end of 2023. CONCLUSION: The TRAFFIC study will reveal the prevalence and incidence, demographic characteristics, and risk profiles of AF patients in Türkiye. Additionally, it will provide insights into how current treatments are reflected in this population. Furthermore, risk prediction modeling and risk scoring can be conducted for patients with AF.

Successful Percutaneous Closure of an Aorto-right Ventricular Fistula After Sutureless Aortic Valve Replacement: A Case Report.

Rupture of a sinus of valsalva aneurysm (SVA) and the development of an aorto-right ventricular fistula (ARVF) is a rare condition, associated with high morbidity and mortality rates if left untreated. Opening of the SVA rupture into the right heart chambers may result in various morbidities, such as pulmonary hypertension. We present a case of a patient who developed ARVF following sutureless aortic valve replacement, and was subsequently treated successfully via a percutaneous approach.

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.

Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19.

Background COVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality. Materials and methods Patients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU. Results A total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission). Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the development of mortality and ICU admission better than other parameters. Discussion COVID-19 can cause problems in different systems as a result of an inflammatory response, secreted cytokines, hypercoagulability, and direct tissue damage. When treating patients, a more appropriate approach is to evaluate different parameters together rather than focusing on a single parameter and deciding accordingly. However, evaluating alterations in many parameters in a disease that affects many systems is difficult and increases the risk of mistakes. Although each blood parameter separately is important, it was observed that the cardiac parameters troponin I and BNP have better predictive values than others in predicting the course and prognosis of COVID-19. Conclusion Blood parameters are used in COVID-19 diagnosis, treatment, and follow-up. Although it is not primarily a cardiac disease, cardiac markers can provide better results in showing the course and prognosis of COVID-19.

Relationship Between Albumin-Corrected Anion Gap and Mortality in Hospitalized Heart Failure Patients.

BACKGROUND: Heart failure (HF) is a disease with high morbidity and mortality. Despite the efforts to reduce mortality rates through medical progress, it is necessary to develop markers to identify critically ill patients. In our study, we aimed to investigate the relationship between albumin-corrected anion gap (ACAG) and mortality in hospitalized patients with HF. METHODOLOGY: We performed a retrospective study that included patients with HF hospitalized in the Erzurum City Hospital between 2015 and 2022. The basal clinical, hematological, and biochemical findings of the patients were obtained from the electronic medical records. ACAG was calculated. The date and causes of death of the patients were searched and recorded through the Republic of Türkiye Ministry of Health Death Notification System (ÖBYS) and Central Population Administration System (MERNIS). Thus, the relationship between ACAG and mortality in hospitalized patients with HF was evaluated. RESULTS: A total of 205 patients hospitalized for HF were included in the study. The mean age of all people in this study was 71.8 ± 10.7 years. A total of 104 (50.7%) of the patients included in the study were women. The mean left ventricular ejection fraction was 47.2 ± 13.6%. The mean follow-up period of the entire population was 76.5 ± 18.9 months. The mortality rate was 11.7% (24 patients). Serum anion gap (SAG) and ACAG were significantly higher in the group with death outcomes (p = 0.043 and p = 0.012, respectively). Cox regression analysis showed that ACAG was an independent predictor of HF mortality (p = 0.003). ACAG area under the curve was 0.773 (95% CI 0.634 - 0.914), the cut-off was 13, sensitivity was 75%, and specificity was 75.9% (p = 0.002). CONCLUSION: Statistical analysis showed a meaningful connection between an increase in ACAG and mortality in hospitalized patients with HF. Consequently, ACAG can be used as an independent predictor of mortality in patients with HF.

CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.

BACKGROUND AND PURPOSE: COVID-19, which emerged in Wuhan (China), is one of the deadliest and fastest-spreading pandemics as of the end of 2019. According to the World Health Organization (WHO), there are more than 100 million infectious cases worldwide. Therefore, research models are crucial for managing the pandemic scenario. However, because the behavior of this epidemic is so complex and difficult to understand, an effective model must not only produce accurate predictive results but must also have a clear explanation that enables human experts to act proactively. For this reason, an innovative study has been planned to diagnose Troponin levels in the COVID-19 process with explainable white box algorithms to reach a clear explanation. METHODS: Using the pandemic data provided by Erzurum Training and Research Hospital (decision number: 2022/13-145), an interpretable explanation of Troponin data was provided in the COVID-19 process with SHApley Additive exPlanations (SHAP) algorithms. Five machine learning (ML) algorithms were developed. Model performances were determined based on training, test accuracies, precision, F1-score, recall, and AUC (Area Under the Curve) values. Feature importance was estimated according to Shapley values by applying the SHApley Additive exPlanations (SHAP) method to the model with high accuracy. The model created with Streamlit v.3.9 was integrated into the interface with the name CVD22. RESULTS: Among the five-machine learning (ML) models created with pandemic data, the best model was selected with the values of 1.0, 0.83, 0.86, 0.83, 0.80, and 0.91 in train and test accuracy, precision, F1-score, recall, and AUC values, respectively. As a result of feature selection and SHApley Additive exPlanations (SHAP) algorithms applied to the XGBoost model, it was determined that DDimer mean, mortality, CKMB (creatine kinase myocardial band), and Glucose were the features with the highest importance over the model estimation. CONCLUSIONS: Recent advances in new explainable artificial intelligence (XAI) models have successfully made it possible to predict the future using large historical datasets. Therefore, throughout the ongoing pandemic, CVD22 (https://cvd22covid.streamlitapp.com/) can be used as a guide to help authorities or medical professionals make the best decisions quickly.

Predictive value of cardiovascular risk scoring systems for the detection of myocardial injury following carbon monoxide intoxication.

OBJECTIVES: This single-center, retrospective study investigates the predictive value of cardiovascular (CV) risk-calculation systems in patients admitted to the emergency department with carbon monoxide (CO) intoxication for the identification of potential myocardial injury. METHODS: The total CV risk of 558 patients presenting to the emergency department with CO intoxication were calculated on admission using different CV risk scoring systems, including SCORE Turkey, European Heart SCORE, and FRAMINGHAM to predict potential myocardial injury secondary to poisoning, and the risk levels were categorized based on the calculated scores. The presence of myocardial injury was identified based on the level of elevation of a cardiac biomarker (Serum cardiac troponin-I >99th percentile upper reference limit). RESULTS: Myocardial injury due to CO intoxication was detected in 132 (23.7%) of the patients. A comparison of the risk scoring systems' ability to detect the presence of myocardial injury revealed that all had significant, similar, but low predictive values (the "area under the curve" values of SCORE Turkey, European Heart SCORE and FRAMINGHAM were 0.653, 0.632, and 0.629, respectively; P < 0.001). Among the three risk scoring systems, SCORE Turkey was the most successful test in diagnosing myocardial injury with 87% specificity, while FRAMINGHAM scoring was the most successful test in excluding the presence of myocardial injury with 72.1% sensitivity. CONCLUSION: Among the tested CV risk-calculation systems SCORE Turkey, was found to be the most effective in the prediction of myocardial injury secondary to CO poisoning, but all produced similar and significant results.

Role of Systemic Immune-Inflammatory Index in Predicting the Development of In-Hospital Malignant Ventricular Arrhythmia in Patients With ST-Elevated Myocardial Infarction.

Many complications can be observed after ST-elevation myocardial infarction (STEMI). The systemic immune-inflammatory index (SII) is a sensitive indicator of the inflammatory state, and this parameter may also be associated with cardiovascular diseases. In this study, we investigated the relationship between malignant ventricular arrhythmias (MVA) development and SII in STEMI patients. A total of 1708 STEMI patients were included in the study. Propensity score matching (PSM) analysis was performed. Patients were divided into 2 groups according to the development of MVA, and predictors of MVA development were investigated. After the PSM analysis, the mean age of 158 patients was 61.6 years, and 68.4% were male. In the univariate analysis, neutrophil count, SII, C-reactive protein (CRP), albumin, and CRP/albumin ratio (CAR) were associated with the development of MVA; while in the regression analysis, CAR and SII was found to be independent predictors of the development of MVA. In this study, we demonstrated that SII is a better independent predictor than other inflammatory parameters for predicting the development of MVA. This index may be useful in clinical use.

A significant predictor of in-hospital and long-term mortality and progression in COVID-19 patients: The end-stage liver disease (MELD) score model.

The aim of this study is to investigate the relationship between the model for end-stage liver disease (MELD) score and disease progression and mortality in COVID-19 patients. The files of 4213 patients over the age of 18 who were hospitalized with the diagnosis of COVID-19 between March 20, 2020 and May 1, 2021 were retrospectively scanned. Sociodemographic characteristics, chronic diseases, hemogram and biochemical parameters at the time they were diagnosed with COVID-19 of the patients, duration of hospitalization, duration of intensive care unit (ICU), duration of intubation, in-hospital mortality from COVID-19 and outside-hospital mortality for another reason (within the last 1 year) and recurrent hospitalization (within the last 1 year) were recorded. The MELD scores of the patients were calculated. Two groups were formed as MELD score < 10 and MELD score ≥ 10. The rate of ICU, in-hospital mortality from COVID-19 and outside-hospital mortality from other causes, intubation rate, and recurrent hospitalization were significantly higher in the MELD ≥ 10 group. The duration of ICU, hospitalization, intubation were significantly higher in the MELD ≥ 10 group (p < 0.001). As a result of Univariate and Multivariate analysis, MELD score was found to be the independent predictors of ICU, in-hospital mortality, intubation, and recurrent hospitalization (p < 0.001). MELD score 18.5 predicted ICU with 99% sensitivity and 100% specificity (area under curve [AUC]: 0.740, 95% confidence interval [CI]: 0.717-0.763, p < 0.001) also MELD score 18.5 predicted in-hospital mortality with 99% sensitivity and 100% specificity (AUC: 0.797, 95% CI: 0.775-0.818, p < 0.001). The MELD score was found to be the independent predictors of in-hospital mortality, ICU admission, and intubation in COVID-19 patients.

The relationship between pesi score and pulmonary venous flow parameters in patients with acute pulmonary embolism.

BACKGROUND: Acute pulmonary embolism (APE) is an important cause of cardiovascular morbidity and mortality. PESI scoring is used in risk classification. This study was designed to determine the relationship between echocardiographic pulmonary vein measurements and PESI score, which is an important tool in diagnosis and treatment. METHODS: A total of 210 patients were evaluated. Pulmonary vein measurements and PESI scores of the patients at the time of diagnosis were calculated. Correlation analysis was performed to determine the relationship between the two parameters. RESULTS: Total PESI scores were 112.9 ± 33.9. The pulmonary vein S wave .39 ± .14, the D wave .48 ± .18, and the S/D ratio was found to be .86 ± .35. It was determined that there was a significant correlation between pulmonary S/D ratio and PESI score. (Pearson correlation coefficient = -.693, R2 Linear:.484; p < .001) The AUC of S/D for mortality prediction was .729 (95% CI = .653-.804; p < .001), the cutoff value was .63, the sensitivity and specificity were 55.6% and 55.7%, respectively. CONCLUSION: Pulmonary vein measurements were found to be correlated with the PESI score and were found to be a parameter that could predict mortality.

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.

The Relationship Between Clinical Outcomes and Calculated Thrombus Burden Before and After Initial Flow in Patients with ST-Segment Elevation Myocardial Infarction.

OBJECTIVE: Primary percutaneous coronary intervention is the standard treatment for ST-segment eleva- tion myocardial infarction. Although myocardial and epicardial perfusion is usually achieved with primary percutaneous coronary intervention, infarct-related arterial thrombus burden negatively affects the proce- dural success and clinical outcomes of primary percutaneous coronary intervention. Therefore, we aimed to investigate the association between thrombus burden (calculated before and after initial flow) and clinical consequences in patients with ST-segment elevation myocardial infarction. MATERIALS AND METHODS: This study retrospectively enrolled 1376 patients who had ST-segment elevation myo- cardial infarction between May 2012 and November 2015. Patients who had only undergone balloon angio- plasty and emergency coronary artery bypass grafting were not included in the study. Data regarding the initial clinical and demographic features of the patients were obtained from their hospital records. Thrombus burden was calculated using baseline and final (after wire inflation or small balloon dilatation) thrombolysis in myocardial infarction thrombus grades. The endpoints of the study were defined as no-reflow development after primary percutaneous coronary intervention and 1-year all-cause mortality. Statistical significance was defined as P < .05. RESULTS: No-reflow was detected in 169 patients (12.3%). The calculated basal thrombus burden was signifi- cantly associated with post-procedural no-reflow (P < .001). No-reflow was also associated with advanced age (P < .001), longer pain-to-door time (P < .001), and increased blood glucose levels (P = .032). The calcu- lated final thrombus burden was related to 1-year all-cause mortality (P = .047). One-year all-cause mortality was also associated with advanced age (P < .001), high Killip scores (P=.003), increased white blood cell counts (P = .001), and low estimated glomerular filtration rates (P < .001). CONCLUSION: Basal thrombus burden was associated with no-reflow, and final thrombus burden was associ- ated with 1-year all-cause mortality. The calculation of thrombus burden before and after initial flow may help to predict clinical outcomes.

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.