Patients with atrial fibrillation (AF) constitute a significant portion of hip fracture patients, and both diseases tend to present more frequently in older age. Our goal was to evaluate the long-term mortality of patients with AF who were free from heart failure undergoing hip fracture surgery. This observational, retrospective study was done in a single research and training hospital setting. Hospital electronic health record data, National Health Registry data, and National Death Registry System data for 233 consecutive patients who were above 65 years of age and were planned to undergo surgery for hip fracture were retrieved and analyzed. An experienced cardiologist evaluated the patients prior to surgery. Each member of the research cohort was categorized into one of the two groups based on their survival status (survivor and non-survivor groups). Of the 233 cases, 89 (38.2%) who were included in the investigation died during the follow-up period. The median long-term follow-up period was 34 (12-42) months. The frequency of AF was significantly higher in the non-survivor group. In multivariable Cox regression analysis, AF (HR: 2.195, 95%CI 1.365-3.415, p<0.001), advanced age, and blood urea level were determined as independent predictors for all-cause long-term mortality. AF is an independent predictor for long-term death in hip fracture cases above 65 years of age who were free from heart failure.

SUMMARY INTRODUCTION: The present study aimed to determine independent predictors of left atrial thrombus (LAT) in acute ischemic stroke (AIS) patients without atrial fibrillation (AF) using transesophageal echocardiography (TEE). METHODS: In this single-center, retrospective study, we enrolled 149 consecutive AIS patients. All of the patients underwent a TEE examination to detect LAT within 10 days following admission. Multivariate logistic regression analysis was performed to assess independent predictors of LAT. RESULTS: Among all cases, 14 patients (9.3%) had a diagnosis of LAT based on the TEE examination. In a multivariate analysis, elevated mean platelet volume (MPV), low left-ventricle ejection fraction (EF), creatinine, and reduced left-atrium appendix (LAA) peak emptying velocity were independent predictors of LAT. The area under the receiver operating characteristic curve analysis for MPV was 0.70 (95%CI: 0.57-0.83; p = 0.011). With the optimal cut-off value of 9.45, MPV had a sensitivity of 71.4% and a specificity of 63% to predict LAT. CONCLUSION: AIS patients with low ventricle EF and elevated MPV should undergo further TEE examination to verify the possibility of a cardio-embolic source. In addition, this research may provide novel information with respect to the applicability of MPV to predict LAT in such patients without AF.

Background Electrocardiographic parameters, such as P wave peak time (PWPT), P wave duration (PWD), and P wave amplitude in lead DI, have been utilized to assess left atrial anomalies linked to the development of atrial fibrillation (AF) in different cohort settings. Objective To compare electrocardiographic parameters, such as P waves, in predicting long-term AF risk in acute ischemic stroke cases. Methods The data of 231 consecutive acute ischemic stroke cases were retrospectively collected. Two independent cardiologists interpreted the electrocardiography recordings for PWPT, PWD, and P wave amplitude in lead DI. The median follow-up study period was 16 (interquartile range [IQR]: 11–24) months. Results In total, AF was detected in 43 (18.6%) cases. All studied P wave parameters were found to be statistically significant in cases with AF. Based on multivariable logistic regression analysis, dementia, left atrium volume index, PWD (razão de chances [RC]: 1.11; 95% confidence interval [CI]: 1.058–1.184; p = 0.003), PWPT in lead DII (RC: 1.030; 95%CI: 1.010–1.050; p = 0.003), and advanced interatrial block morphology were independent predictors of long-term AF. P wave duration had the highest area under the curve value, sensitivity, and specificity for long-term AF in such cases compared with the other P wave parameters. Conclusions Our head-to-head comparison of well-known P wave parameters demonstrated that PWD might be the most useful P wave parameter for long-term AF in acute ischemic stroke cases.

Objective: The present study aimed to compare the value of D-dimer measured on the 3rd day of hospitalization with admission D-dimer level in predicting in-hospital mortality in coronavirus disease 2019 (COVID-19) cases. Method: In total, 231 patients with COVID-19 disease were included in the study. D-dimer levels were estimated using immunoturbidimetric assay with normal range of 0-500 μg/mL. In the current research, the primary outcome was the in-hospital mortality. Results: In the present research, 39 (16.8%) COVID-19 cases died during the index hospitalization. In a multivariable analysis; age, D-dimer (3rd day) (OR: 1.00, 95% CI: 1.00-1.00, p<0.001), WBC count, and creatinine were independent predictors of the in-hospital death for COVID-19 cases. The ideal value of D-dimer level on the 3rd day of hospitalization was 774 μq/mL (area under curve (AUC): 0.903, 95% CI: 0.836-0.968; p<0.01) with sensitivity of 83.2% and specificity of 83.6%. It was noted that D-dimer level on the 3rd day of hospitalization had a higher sensitivity (83.2% vs 67.6%, respectively) and AUC value than that of D-dimer level on admission (0.903 vs 0.799, respectively). Conclusion: The main finding in this investigation was that D-dimer elevation on the 3rd of hospitalization is more sensitive predictor of in-hospital mortality than D-dimer elevation on admission in COVID-19 patients. Even though further investigations are needed to forecast precise prognosis in patients with COVID-19 disease in terms of D-dimer levels, we believe that D-dimer levels on the 3rd day of hospitalization have an enhanced potential to be used as a prognostic marker in routine clinical practice.

This study evaluates the association between the Intermountain Risk Score (IMRS) and coronary artery ectasia (CAE) to determine its predictive value. A retrospective study was conducted at a tertiary hospital from January 2019 to January 2024. A total of 446 patients (226 with CAE, 220 controls) were included. Clinical, laboratory, and angiographic data were analyzed. IMRS was calculated based on routine demographic and laboratory parameters. Statistical analyses included logistic regression and receiver operating characteristic (ROC) curve analysis. Patients with CAE had significantly higher IMRS scores (p = 0.011) and were more likely to fall into high-risk IMRS categories (p = 0.002). Smoking (HR: 3.744, p = 0.045), mean corpuscular volume (HR: 1.105, p = 0.019), and IMRS color category (HR: 5.255, p = 0.016) were independent predictors. ROC analysis showed an AUC of 0.617 for IMRS score and 0.627 for IMRS color category. IMRS is a significant predictor of CAE and may serve as a practical risk stratification tool. Higher-risk patients could benefit from closer monitoring and targeted interventions. Further validation in prospective studies is needed.

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