Bruxism is a repetitive activity of the masticatory muscles, which determine teeth grinding or clenching, associated with rigidity, bracing, or thrusting of the mandibula. The aim of this study was to determine the prevalence of possible bruxism in 328 students attending the Faculty of Dental Medicine, University of Medicine and Pharmacy of Craiova, and its associations with stress and other manifestations of the temporo-mandibular disorder. This was a questionnaire-based study to collect information on self-evaluation of bruxism presence, frequency of specific episodes, stress, anxiety, and other manifestations of temporo-mandibular disorder. Self-evaluated bruxism was identified in 39.33% from the entire study group, allowing us to define two subgroups for further analysis. Sleep bruxism was present in 16.28% of participants; awake bruxism was present in 68.99%, while 14.73% of participants presented a combined form. The main manifestation of bruxism was reported as teeth grinding. Fatigue was identified as a common clinical sign of bruxism and temporo-mandibular disorder. Group distribution analysis (Chi-Square) indicated significant associations between bruxism and stress, panic, restlessness, or increased stress during the COVID-19 pandemic (p < 0.05). Bruxism, and especially awake bruxism, has increased in prevalence among young students, and it has been associated with increased levels of stress.
Heart failure (HF) and renal dysfunction are frequent associated in the same patient. The purpose of our study was to assess the prevalence of renal dysfunction and the clinical status in admitted patients for decompensated HF. Material and Methods. 397 patients succesively hospitalized for decompensated HF, NYHA III or IV functional class, with left ventricular ejection fraction (LVEF) � 45% were included in the study. Renal dysfunction was defined by glomerular filtration rate (GFR) [ 60 mL/min/1.73 m 2. The mean GFR in patients with HF was 63.89 � 21.5 mL/min/1.73 m2 .The prevalence of renal dysfunction was 49.6%. Patients with GFR [ 60 mL/min/1.73m2, compared with those with preserved renal function were significantly more frequent older (75.37 � 6.84 vs. 71.33 � 8.08 years; p [0.001), females (53,8% vs. 43.5%; p = 0.04), had a significantly higher prevalence of diabetes mellitus (50.2% vs. 28.5%; p [0.001), atrial fibrillation (53.8% vs 46.2%, p = 0.04) and anemia (47.7% vs. 29.5% ; p [0.001). Also, patients with renal dysfunction had more severe HF than those without renal dysfunction (NYHA class IV: 65% vs 45%, p [0.001, clinical congestion: 78.2% vs 68%, p = 0.02, LVEF [35%: 47.21% vs � 35%, p [0.001). Renal dysfunction can be considered an additional marker of severe cardiac dysfunction along with NYHA IV class and low LVEF. The presence of both renal dysfunction and anemia could represent prognostic markers in HF patients with reduced LVEF.
Gestational diabetes mellitus (GDM) is a major public health issue of our century due to its increasing prevalence, affecting 5% to 20% of all pregnancies. The pathogenesis of GDM has not been completely elucidated to date. Increasing evidence suggests the association of environmental factors with genetic and epigenetic factors in the development of GDM. So far, several metabolomics studies have investigated metabolic disruptions associated with GDM. The aim of this review is to highlight the usefulness of maternal metabolites as diagnosis markers of GDM as well as the importance of both maternal and fetal metabolites as prognosis biomarkers for GDM and GDM’s transition to type 2 diabetes mellitus T2DM.
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a new term that no longer excludes patients that consume alcohol or present other liver diseases, unlike nonalcoholic fatty liver disease (NAFLD). The aim of this study was to evaluate the role of different biomarkers as predictors of MAFLD in patients with type 2 diabetes mellitus (T2DM). In this regard, a cross-sectional, non-interventional study was conducted over a period of 8 months in patients with T2DM. Liver steatosis displayed by abdominal ultrasound certified the MAFLD diagnosis. A percentage of 49.5% of the studied patients presented MAFLD. Through logistic regression adjusted for gender, age, T2DM duration, lipid-lowering therapy, smoking status, nutritional status, we demonstrated that elevated triglycerides (TG) levels , high non-high-density-lipoprotein (HDL)-cholesterol-to-HDL-cholesterol (non-HDL/HDL) ratio, high atherogenic index of plasma (AIP), and increased Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) had predictive value for MAFLD in patients with T2DM. Furthermore, we calculated the optimal cut-off values for these biomarkers (184 mg/dL for TG, 0.615 for AIP, 3.9 for the non-HDL/HDL ratio, and 2.01 for HOMA-IR) which can predict the presence of MAFLD in patients with T2DM. To our knowledge, this is the first study to assess the predictive value of the non-HDL/HDL ratio for MAFLD in patients with T2DM.
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