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Copyright of Archives of the Turkish Society of Cardiology / Türk Kardiyoloji Derneği Arşivi is the property of KARE Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Acute coronary syndromes (ACS) are one of the most common causes of morbidity and mortality worldwide. Primary percutaneous coronary intervention (pPCI) is the main treatment strategy to restore myocardial perfusion. However, the no-reflow phenomenon (NRP) may block coronary flow. The present study focused on assessing and contrasting predictive parameters for NRP in ACS patients. Our research is a retrospective analysis. We assessed the parameters significantly associated with NRP using Cox regression and Receiver operating characteristic (ROC) Curve analysis. The study included 5122 patients who met the criteria. The average age of the patients was 63.9 + 13.2, and 74.4% were male. It was observed that NRP developed in 1.8% of all patients. Age, hemoglobin (Hb), white blood cell (WBC), glucose and low density lipoprotein cholesterol (LDL-C) were determined to be independent predictors of NRP. The power of these parameters to predict NRP was similar, and WBC was the most predictive (Area Under Curve (AUC): 0.605 95% CI: 0.539–0.671, P = .001). We believe that the use of these simple, practical, and routinely used hematological and biochemical parameters will help us predict the risk of developing NRP before pPCI. This information should improve management. [ABSTRACT FROM AUTHOR]

Although there are many scoring systems for acute coronary syndromes, there is no suitable score for early risk stratification during initial medical contact with non-ST-elevation myocardial infarction (NSTEMI) patients. The present study compared the Rapid Emergency Medicine Score (REMS), an easy-to-use scoring system in emergency departments, with the Global Registry of Acute Coronary Events (GRACE) score used for in-hospital mortality risk stratification of NSTEMI patients. The results were: (i) the REMS score outperformed the GRACE score in predicting the in-hospital mortality; (ii) in estimating in-hospital mortality, the sensitivity of the GRACE score was 88%, the specificity was 65%, while the sensitivity of the REMS score was 100% and the specificity was 76%; (iii) the AUC (Area Under Curve) value of the REMS score (AUC 0.89) was superior to the GRACE score (AUC 0.79) in the data obtained from Receiver operating characteristic (ROC) descriptive analysis, but not statistically significant (P > .05). We suggest that the REMS score can be used to predict in-hospital mortality in patients with NSTEMI. [ABSTRACT FROM AUTHOR]

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.

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.

Background: Heart failure (HF) remains a significant health problem despite advances in diagnosis and treatment options. Malnutrition and increased inflammation predict poor disease prognosis. The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). We aimed to assess the potential of NPS as a predictor of long-term mortality in patients with HF., Methods: A total of 1728 patients with HF who applied to our center between 2018 and 2022 were included in this study. The NPS was computed and the patients were divided into three groups according to their NPS values as follows: NPS = 0 (Group 1), NPS = 1-2 (Group 2), and NPS = 3-4 (Group 3). We also evaluated the association between NPS value and HF mortality., Results: The patients were followed for a mean follow-up duration of 30 months. The mortality rate was 8.3% (145 patients). We carried out Model-1 and -2 Cox regression analyses to identify long-term mortality determinants. Model-2 was constructed by adding NPS to Model-1. NPS was significantly associated with HF mortality (Hazard Ratio: 2.194, 95% Confidence Interval: 1.176-4.091, p  = 0.014). According to the Kaplan-Meier plot and log-rank analyses, there was a statistically significant difference in the long-term mortality of patients with HF and their NPS values for the entire cohort., Conclusion: Based on our findings, NPS showed promise as an independent predictor of long-term mortality in individuals with HF.