Introduction In this study, we aimed to investigate the usefulness of P wave peak time (PWPT), a novel ECG parameter, in patients who were diagnosed with acute ischaemic stroke (IS) and had paroxysmal atrial fibrillation (PAF) on Holter monitoring. Materials and methods In this retrospective cohort study, we included 90 consecutive patients with acute IS who were admitted to our hospital between January 2017 and July 2019. PWPT was described as the time from the beginning of the P wave to its peak, and it was measured from leads DII and VI. The PAF diagnosis was confirmed if it was detected on the ECG during palpitation or in rhythm during the Holter recordings. Results In this study, 34 (37.7%) patients with acute IS were diagnosed with PAF. In multivariate analyses, the independent predictors of PAF were age, PWPT in lead VI and PWPT in lead DII (OR: 1.34, 95% CI 1.15 to 1.56; p<0.001). A receiver operating curve analysis demonstrated that area under the curve values for PWPT in lead DII for PAF were 0.88 (95% CI 0.81 to 0.95, p<0.001). The cut-off value for PWPT in lead DII in predicting PAF was 68.5 ms with a sensitivity of 82.4% and a specificity of 75.0%. Conclusion To the best of our knowledge, this is the first study to demonstrate a significant relationship between PWPT in lead DII and PAF among patients with acute IS.

Contrast-induced acute kidney injury (CI-AKI) can occur after coronary interventions despite protective measures. We evaluated the effect of urinary system contrast blush grading for predicting post-procedure CI-AKI in 486 patients with chronic coronary artery disease. Patient characteristics and blood samples were collected. Urinary system contrast blush grade was recorded during the coronary angiography and interventions. Post-procedure third to fourth day blood samples were collected for diagnosis of CI-AKI. The median age of the patients was 61 years (53-70, interquartile range), and 194 (39.9%) participants were female. Contrast-induced acute kidney injury occurred in 78 (16%) patients. By comparing full and reduced models with the likelihood ratio test, it was observed that in the reduced model, factors such as age, diabetes mellitus, body weight–adapted contrast media (CM), hemoglobin, and urinary system blush were associated with CI-AKI presence. The probability of CI-AKI presence increased slightly from grade 0 to 1 blush, but it increased sharply grade from 1 to 2 blush. According to our results, an increase in body weight–adapted CM and urinary blush grading were the main predictors of CI-AKI. These findings suggest that when body weight–adapted CM ratio exceeds 3.5 mL/kg and urinary contrast blush reaches grade 2, the patients should be followed up more carefully for the development of CI-AKI.

Aim: We aimed to evaluate the awareness of pneumococcal vaccination (PCV13, PPSV23) in general cardiology outpatient clinics and impact of physicians’ recommendations on vaccination rates. Methods: This was a multicenter, observational, prospective cohort study. Patients over the age of 18 from 40 hospitals in different regions of Turkey who applied to the cardiology outpatient clinic between September 2022 and August 2021 participated. The vaccination rates were calculated within three months of follow-up from the admitting of the patient to cardiology clinics. Results: The 403 (18.2%) patients with previous pneumococcal vaccination were excluded from the study. The mean age of study population (n = 1808) was 61.9 ± 12.1 years and 55.4% were male. The 58.7% had coronary artery disease, hypertension (74.1%) was the most common risk factor, and 32.7% of the patients had never been vaccinated although they had information about vaccination before. The main differences between vaccinated and unvaccinated patients were related to education level and ejection fraction. The physicians’ recommendations were positively correlated with vaccination intention and behavior in our participants. Multivariate logistic regression analysis showed a significant correlation between vaccination and female sex [OR = 1.55 (95% CI = 1.25–1.92), p < 0.001], higher education level [OR = 1.49 (95% CI = 1.15–1.92), p = 0.002] patients’ knowledge [OR = 1.93 (95% CI = 1.56–2.40), p < 0.001], and their physician’s recommendation [OR = 5.12 (95% CI = 1.92–13.68), p = 0.001]. Conclusion: To increase adult immunization rates, especially among those with or at risk of cardiovascular disease (CVD), it is essential to understand each of these factors. Even if during COVID-19 pandemic, there is an increased awareness about vaccination, the vaccine acceptance level is not enough, still. Further studies and interventions are needed to improve public vaccination rates.