8 results match your criteria: "Rangpur Medical College and Hospital[Affiliation]"

Objectives: Irrational and injudicious use of antibiotics in COVID-19 patients could be detrimental in a tropical country with a weak antibiotic stewardship policy such as Bangladesh. This study aimed to focus on the antibiotic usage patterns in COVID-19 patients in Bangladesh.

Methods: This prospective observational study was performed from July 2020 to June 2021 in five tertiary hospitals in Bangladesh.

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Cardiovascular diseases (CVDs) remain a major global health challenge and a leading cause of mortality, highlighting the need for improved predictive models. We introduce an innovative agent-based dynamic simulation technique that enhances our AI models' capacity to predict CVD progression. This method simulates individual patient responses to various cardiovascular risk factors, improving prediction accuracy and detail.

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Early pregnancy loss (EPL) is a prevalent health concern with significant implications globally for gestational health. This research leverages machine learning to enhance the prediction of EPL and to differentiate between typical pregnancies and those at elevated risk during the initial trimester. We employed different machine learning methodologies, from conventional models to more advanced ones such as deep learning and multilayer perceptron models.

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Background Choledochal cyst is a congenital cystic dilatation of the biliary tree. Various aspects of pathophysiology are unclear, particularly with reference to intracholedochal cystic pressure (ICCP) and liver histopathology. This study aimed to determine the relationship among cystic volume, ICCP, and histopathological changes in the liver in patients with choledochal cysts.

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Background: Bangladesh is anticipated to have the eighth-highest number of diabetic patients within the next 15 years. Approximately one-fifth of adult diabetes patients reside in Southeast Asian nations. This study aimed to find out the economic burden of extreme hypoglycemia on diabetic sufferers in Bangladesh.

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In recent times, nonalcoholic fatty liver disease (NAFLD) has been considered one of the major causes of liver disease across the world. NAFLD is defined as the deposition of triglycerides in the liver and is associated with obesity and metabolic syndrome. Hyperinsulinemia, insulin resistance (IR), fatty liver, hepatocyte injury, unbalanced proinflammatory cytokines, mitochondrial dysfunction, oxidative stress, liver inflammation, and fibrosis are the main pathogenesis in NAFLD.

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Background And Aims: Inhalation of respirable silica dust during several stone processing methods can result in several respiratory diseases. However, data are scarce regarding the respiratory health of stone-cutting workers in Bangladesh. We aimed to determine the point prevalence of respiratory symptoms, lung function status and radiological abnormalities among the stone-cutting workers.

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Objective: To characterise childhood mouthing and handling behaviours and to assess the association between hand-to-object and object-to-mouth contacts and diarrhoea prevalence in young children in urban Dhaka, Bangladesh.

Methods: A prospective cohort study was conducted among 494 children under 5 years of age in Dhaka, Bangladesh. This study was nested within the randomised controlled trial of the Cholera Hospital-Based Intervention for 7 Days (CHoBI7) mobile health (mHealth) program.

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