The Relationship of Preterm, Term, and Post-Term Births to Maternal Stress and Human Milk Cortisol Levels.

Introduction: Maternal stress can lead to changes in the composition of human breast milk. The present study evaluates cortisol levels in the breast milk of mothers after giving birth preterm, term, or post-term, and ascertains whether the levels are associated with maternal stress. Materials and Methods: Included in the study were mothers who gave birth vaginally after 32 weeks of gestation between January and April 2022. The breast milk was expressed with an electronic pump under the supervision of a nurse on day 7 following birth, and 2 mL samples of the milk were transferred into microtubes and stored at -80°C. Stress in the mothers was measured using the perceived stress scale developed by Cohen et al. The human breast milk cortisol levels were determined using an enzyme-linked immunoassay in a single session. Results: A total of 90 mothers, including 30 with preterm births, 38 with term births, and 22 with post-term births, were included in the study. The median stress scale score was 28 (17-50) and the median breast milk cortisol level was 0.49 ng/mL (0.1-1.96 ng/mL). A significant positive correlation was noted between the stress scale scores and breast milk cortisol levels (r = 0.56, p < 0.01). The breast milk cortisol levels and maternal stress scale scores were significantly higher in the preterm birth group than in the term birth group (p = 0.011 and p = 0.013, respectively). Conclusion: Although there is an association between maternal stress and preterm labor and milk cortisol levels, we believe that more studies are needed to establish a causal link.

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.

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.