Background:Triglycerides and Glucose Index (TyG index), a product from fasting levels of triglycerides and glucose, presented promising results as apotential marker of metabolic syndrome in different ethnicity. However, no such reports are available in our population to date.Objective: To see the effectiveness of ‘Triglycerides and Glucose Index’ to predict metabolic syndromein a Bangladeshi population.Methods: This cross-sectional study was carried out in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, from March 2016 to February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, who attended the out-patient-departments of the same institution. Anthropometric measurements were recorded – height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose andlipid profile. Then TyG index was calculated and evaluated as a tool in diagnosis of metabolic syndrome in the study subjects.Receiver operating characteristic (ROC) curves were plotted to assess the performance of TyG index in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals.Results: Sensitivity, specificity, positive predictive value and negative predictive value of TyG index to predict metabolic syndrome were 70.45%, 82.14%, 75.61% and 77.97%in males and 25.00%, 97.32%, 88.00% and 62.29%in females respectively. ROC curve showed optimal cut off value 8.72 and area under the curve 0.72 in male study subjects; in female study subjects, the values were 8.72 and 0.96 respectively (P<0.001).Conclusion:Triglycerides and Glucose Index (TyG index) represents a simple,accessible and effective tool for assessment of metabolic syndrome in Bangladeshi population.International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 85-89

<p>The aim of this study was to see the cardiometabolic risk among doctors using waist-to-height ratio index as tool. Cardiometabolic risk is an umbrella term that includes all the risk factors of diabetes and cardiovascular disease. The study was conducted among 195 doctors. According to waist-to-height ratio index 167 (85.6%) doctors had cardiometabolic risk. Waist-to-height ratio index was found good (area under the curve &gt;0.5, sensitivity 88.1%, specificity 23.2%, positive predictive value 53.9%, and negative predictive value 66.7%) for their predictive value of cardiometabolic risk. Age grouping was done and found that no age group was free from cardiometabolic risk.</p>

Background: Obesity is a significant risk factor in the development of metabolic syndrome (MetS). Lipid Accumulation Product (LAP) is an obesity index and has been proposed to be a predictor of metabolic syndrome. The present study aims to see the effectiveness of Lipid Accumulation Product as an obesity index to predict metabolic syndrome in a Bangladeshi population. Methods: This cross-sectional study was conducted in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, between March 2016 and February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, attending out-patient-departments of the same institution. Anthropometric measurements were recorded, which included their height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose and lipid profile. Then LAP was calculated and evaluated as a tool in prediction of MetS in the study subjects. Receiver operating characteristic (ROC) curves were plotted to assess the performance of LAP in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals. Results: Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NVP) of LAP in predicting MetS were 70.45%, 78.57%, 72.09% and 77.19% in male study subjects and 20.45%, 96.43%, 81.82% and 60.67% in female subjects respectively. ROC curve analysis showed that the optimal cutoff value of LAP in male study subjects was 40.72, while area under the curve was 0.92; in female study subjects, the values were 51.69 and 0.91 respectively (P<0.001). Conclusion: Lipid Accumulation Product was found simple, accessible and effective obesity index to predict metabolic syndrome in apparently healthy adults. J Bangladesh Coll Phys Surg 2022; 40: 5-9

Background: CT-guided fine-needle aspiration cytology is an established, indeed effective and precise method for diagnosing of pulmonary lesions. Though this procedure has the possibility to lead lung complications. Therefore, this study aimed to learn about the pathological spectrum of pulmonary lesions, examine the pattern of FNAC diagnosis of lung lesions, and analyse and compare the data with published figures. Material & method: This study was carried out at the Pathology Department of Tairunnessa Memorial Medical College and Hospital, as well as the Popular Diagnostic Center in Gazipur, Bangladesh, where all cases were FNAC and cytologically diagnosed. From September 2000 to April 2022, a total of 171 cases were evaluated. All of the patients had nodular or mass lesions in their lungs and were diagnosed with a CT-guided FNAC by following a standard procedure. Result: Out of 171 cases about 119 (69.59%) were male and 52 (30.40 %) female. It was noticed that approximately 117 (68.42%) were malignant cases. Of these, most common malignancy was adenocarcinoma (43.27%). There were about 31.67 % benign lung lesions cases. Among them, 17.54%, 8.87%, 3.5%, and 1.67% cases had pulmonary inflammatory lesions, tuberculosis, aspergillosis and abscess, respectively. Conclusion: CT guided FNAC can diagnose pulmonary lesion fairly and accurately as well as may leading to less morbidity & mortality as treatment can be started early.

Obesity is a medical condition in which excess body fat has been accumulated to such an extent that it can cause a negative impact on health (World Health Organization, 2014). 1 The body mass index (BMI) is most commonly used to classify overweight and obesity. BMI is calculated by dividing a person's weight in kilogram with the square of his/her height in meter (kg/m 2 ).Recently, the concept of metabolic health status, apart from obesity, has gained much significance. 2 A number of studies have been identified that some subpopulations show metabolic profiles that portray gross deviations from the so far established relationship between BMI and metabolic disturbances. 3, 4 The theory that some non-obese adults have multiple risk factors for the metabolic disorders like obese adults, was first proposed almost 20 years back. 5 These non-obese adults are characterized by higher levels of adiposity, increased insulin resistance and are more prone to suffer from type 2 diabetes mellitus and cardiovascular disease. 6Obesity and overweight, according to BMI, do not always lead to metabolic disorders. In fact, some obese and overweight individuals are metabolically healthy, having normal insulin sensitivity, normal blood pressure, a favorable lipid profile and a lower proportion of visceral fat. 6 A number of studies have brought out the metabolically healthy and unhealthy obesity phenotypes in different BMI groups, considering the presence or absence of metabolic syndrome among the study subjects. 3, 4 Individuals are considered to have metabolic syndrome when they have at least three or more of the metabolic syndrome criteria. 7Emerging evidence suggests lipid accumulation product to be a new indicator of visceral adiposity. 8 It is a mathematical model based on the product of serum triglyceride level and waist circumference of an individual. It can identify insulin resistance as well. Since lipid accumulation product incorporates triglyceride along with waist circumference, which is another indicator of adiposity, it might be a superior marker of insulin resistance compared to the conventional biomarkers. 8 Lipid accumulation product is gender-specific and based on simple parameters. It did not originate from theoretical assumptions but from observations in a healthy, normal/overweight population. 8Lipid accumulation product takes visceral fat distribution into count. Visceral fat is more metabolically dangerous than the subcutaneous fat. 9 The subcutaneous fat depot functions as a | Original | Article | AbstractMetabolic obesity refers to the state of having metabolic syndrome irrespective of one's body mass index. This study was aimed to elucidate the lipid accumulation product and triglyceride-glucose index as simple and alternate criteria for detecting metabolic obesity in adult. The study was conducted in 200 adult (age range: 19-45 years). According to lipid accumulation product and triglyceride-glucose index, the prevalence of metabolic obesity was 54.0% and 53.5% respectively. With a cutoff value of 45.5, th...