Metabolic Deregulations in Patients with Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) contributes to endocrine and metabolic complications for women worldwide. The aim of this study was to establish the usefulness of new anthropometric indices and atherogenic indices in the evaluation of metabolic disorders, in particular, glucose and insulin abnormalities in the profiles of women with polycystic ovary syndrome (PCOS). In the study, a total of 49 women with PCOS aged between 18 and 39 years were recruited. All patients were tested for fasting glucose and insulin, lipid parameters, oral-glucose administration, and biochemical parameters. All of them underwent anthropometric measurements, such as BMI (body mass index), WHR (waist-to-hip ratio), WHtR (waist-to-height ratio), BAI (body adiposity index), VAI (visceral adiposity index), LAP (lipid accumulation product), BRI (body roundness index), ABSI (A body shape index), AIP (atherogenic risk of plasma), AC (atherogenic coefficient), Castelli risk index-I, Castelli risk index-II and (LCI) lipoprotein combine index, TG/HDL-C ratio, METS-IR (The metabolic score of insulin resistance), triglyceride glucose index (TyG index), triglyceride glucose-body mass index (TyG-BMI index) and triglyceride glucose-waist circumference index (TyG-WC index) were calculated. The analyzed anthropometric measurements/indices and atherogenic indices demonstrated significant correlations in PCOS women. T A strong relationship was found between fasting glucose, fasting insulin, glucose after 60 min, HOMA-IR index in the patients with PCOS. There was no significant relationship between HbA1c and other analyzed parameters and indices. Most of the analyzed anthropometric and atherogenic indices may be useful tools in evaluating metabolic disorders, and, in particular, glucose and insulin abnormalities in PCOS women.

Polish Adaptation of the Alarm Fatigue Assessment Questionnaire as an Element of Improving Patient Safety.

Medical personnel, working in medical intensive care units, are exposed to fatigue associated with alarms emitted by numerous medical devices used for diagnosing, treating, and monitoring patients. Alarm fatigue is a safety and quality problem in patient care and actions should be taken to reduce this by, among other measures, building an effective safety culture. In the present study, an adaptation of a questionnaire to assess alarm fatigue was carried out. The study obtained good reliability of the questionnaire at Cronbach's alpha level of 0.88. The Polish research team has successfully adapted the Alarm Fatigue Assessment Questionnaire so that it can be used in healthcare settings as a tool to improve patient safety.

Glucose intolerance, insulin resistance and metabolic syndrome in patients with stable angina pectoris. Obesity predicts coronary atherosclerosis and dysglycemia.

INTRODUCTION: Disturbances of glucose regulation and other metabolic disorders, as part of metabolic syndrome, are important risk factors for atherosclerosis. Abnormal glucose metabolism is commonly observed in patients with acute coronary syndrome. However, there is no consistent evidence for subjects with stable angina. OBJECTIVES: To investigate the prevalence of glucose metabolism in patients with stable coronary artery disease (CAD) documented angiographically and to assess correlations of metabolic profile and extent of atherosclerotic lesions. PATIENTS AND METHODS: 100 consecutive non-diabetic patients with stable CAD referred to coronary angiography were studied. Total cholesterol and its fractions, triglycerides, uric acid and fasting insulin levels were determined. Oral glucose tolerance test (OGTT) and then coronary angiography were performed. All patients were divided into groups according to glucometabolic and coronary status and insulin resistance. The sum of all lesions in coronary vessels was calculated for each patient (CAD score). RESULTS: After OGTT, 44% of patients presented disturbed glucose metabolism: 9% of patients had newly diagnosed diabetes and 35% patients were in the prediabetic state. There was no correlation between glycemic status and insulin resistance, and severity of coronary heart disease. Obesity, reflected by body mass index, waist circumference and waist-to-hip ratio, was a major metabolic disorder and independent predictor of the extent of coronary atherosclerosis and glucose intolerance. CONCLUSIONS: Abnormal glucose regulation is very common in patients with stable CAD. Only obesity was the independent predictor of coronary atherosclerosis and dysglycemia. Other metabolic risk factors are target for prevention and treatment.