The relationship between hemoglobin, albumin, lymphocyte, platelet (HALP) score, and various cancers and cardiovascular diseases has been tested previously. However, the relationship between HALP score and non-valvular atrial fibrillation (NVAF) has not been adequately tested. Therefore, our study aimed to investigate the relationship between HALP score and mortality in patients with NVAF. This study included 2,592 NVAF patients from 35 centers in Turkey. Patients were divided into two groups: those with HALP scores ≤ 58.96 (low HALP score group, 1,296 patients) and > 58.96 (high HALP score group, 1,296 patients). The primary outcome measured was all-cause mortality. The mean HALP score was 66 ± 33. Patients in the low HALP score group had higher 1- and 5-year all-cause mortality rates (1-year: 12.9% vs. 5.4%, p < 0.001; 5-year: 38.5% vs. 20.2%, p < 0.001). Cox regression analysis identified the HALP score as an independent predictor of mortality (1-year: HR = 0.987, 95% CI = 0.981-0.992, p < 0.001; 5-year: HR = 0.990, 95% CI = 0.987-0.993, p < 0.001). ROC analysis determined a HALP score 52.3 predicted 1-year mortality with 62.9% sensitivity and 62% specificity (AUC = 0.680); a score of 55 predicted 5-year mortality with 60.3% sensitivity and 62.2% specificity (AUC = 0.657). Kaplan-Meier analysis revealed increasing mortality over time in the low HALP score group (log-rank tests, 1-year = 44.86, p < 0.001; 5-year = 108.54, p < 0.001). The HALP score is a simple, accessible measure, and our findings suggest that lower HALP scores are associated with increased 1-year and 5-year mortality in NVAF patients. This provides a reference for clinicians assessing risk in this vulnerable population.

Background: The GRACE score is widely used to estimate early mortality in acute coronary syndromes (ACS), yet its ability to capture the complex interaction between inflammation, hepatic dysfunction, renal impairment, and myocardial injury remains limited. Integrating biomarkers that reflect these complementary physiological pathways may enhance risk prediction and allow earlier identification of high-risk patients. This study evaluated whether a multi-biomarker model incorporating the C-reactive protein/albumin ratio (CAR), the albumin–bilirubin (ALBI) score, and the blood urea nitrogen/creatinine (BUN/Cr) ratio provides incremental prognostic value beyond the GRACE score and traditional cardiac markers. Methods: This retrospective study included patients hospitalized with ACS. Baseline laboratory results were used to calculate CAR, ALBI, and BUN/Cr ratios. Troponin and hemoglobin values were recorded as standard cardiac and hematologic indicators. The primary outcome was in-hospital mortality. Logistic regression models, receiver operating characteristic (ROC) curve analysis, and comparisons of area under the curve (AUC) were performed to determine whether the multi-biomarker model improved risk stratification beyond the GRACE score alone. Results: Higher CAR, ALBI, and BUN/Cr values were each associated with increased in-hospital mortality. When combined with the GRACE score, the multi-biomarker model significantly improved predictive accuracy. The integrated model demonstrated a higher AUC compared with GRACE alone, indicating incremental prognostic value across inflammatory, hepatic, and renal pathways. Conclusions: A multi-biomarker strategy combining CAR, ALBI, and BUN/Cr ratios enhances early mortality prediction beyond the GRACE score in patients with ACS. Incorporating these readily available laboratory indices may help clinicians identify high-risk patients more precisely at the time of hospital admission.

Background and Objectives: Monday syndrome refers to a psychosomatic stress response occurring at the beginning of the work week and has been implicated in triggering acute cardiovascular events. This study aimed to evaluate the association between Monday syndrome and the incidence of cardiovascular emergencies. Materials and Methods: Between June 2024 and June 2025, a total of 500 patients aged 18–65 years who presented with acute cardiovascular events at two centers were retrospectively analyzed. Diagnoses included STEMI, NSTEMI, unstable angina, ventricular tachycardia/fibrillation, and hypertensive emergency. The distribution of events by weekday and hour was examined. Poisson regression was used to assess the effect of Mondays on event incidence. Results: Of 500 patients (mean age 49.1 ± 9.7 years, 50.4% male), the most common diagnoses were STEMI (31.8%) and NSTEMI (27.4%). The incidence of cardiovascular events was highest on Mondays (19.6%) and lowest on Sundays (10.6%). The early-morning period (06:00–10:00) showed the most significant clustering of events (p < 0.001). Systolic blood pressure (145 ± 18 vs. 139 ± 17 mmHg, p = 0.008) and heart rate (87 ± 12 vs. 82 ± 13 bpm, p = 0.01) were significantly higher on Mondays. Monday presentation was associated with a 23% higher event rate (incidence rate ratio [IRR] 1.23, 95% CI 1.10–1.38, p = 0.002). Conclusions: Monday syndrome is associated with a significant increase in the incidence of cardiovascular emergencies, especially in the early-morning hours. Increased sympathetic tone, hormonal activation, and psychosocial stress are possible contributors.

Background: The relationship between obesity and changes in electrocardiographic wave duration were demonstrated previously. The aim of our study was to examine the relationship between body mass index (BMI) and index of cardiac electrophysiological balance (ICEB)/corrected index of cardiac electrophysiological balance (ICEBc). Materials and Methods: A total of 353 consecutive patients with no comorbidities other than obesity admitted to an outpatient cardiology clinic between September and November 2023 were enrolled in the study. The patients were divided into 5 groups according to their BMI as follows: BMI 40 kg/m2 as group 5. Electrocardiographic parameters ICEB/ICEBc levels were compared among the groups. Results: The mean age of the participants was 32.6±10.61 years, and 199 (56.4%) were female. The mean ICEB values of groups were 4.36±0.53, 4.17±0.53, 4.04±0.52, 4.27±0.55 and 4.18±0.47, respectively and there was a significant difference among the groups (p=0.014). In addition, the mean ICEBc values were 5.03±0.69, 4.81±0.63, 4.6±0.56, 5.05±0.68, and 5.05±0.52, respectively and there was a significant difference among the groups (p<0.001). It was found that low and high BMI groups were associated with a significant increase in ICEB and ICEBc values in the subgroup analyses. Conclusions: As a result of our study, it was observed that low and high BMI values may be associated with an increase in ICEB and ICEBc values. It should be kept in mind that ICEB and ICEBc values may be high in cardiac evaluation in relatively thin and obese individuals.