Introduction: Dengue is a major public health concern in our country. The alarming thing is that the seasonal trend of dengue infection is changing with time in Bangladesh due to climate change and unplanned urbanization. Our study was conducted to determine the frequency of dengue virus infection among the febrile patients in 2018 at Dhaka Medical College Hospital (DMCH) and to observe the seasonal trend. Materials and Methods: The study was carried out on 899 febrile patients attended in DMCH from January to December, 2018. Whole blood samples were collected and sera were tested for dengue NS1 antigen and anti-dengue IgM antibodies using commercial test kits (NS1 by OMC Healthcare (Pvt.) Ltd & IgM antibody by Omega Diagnostics Ltd.), respectively. All negative dengue cases were tested for anti Chikungunya antibody to exclude chikungunya. Results: Of the total 899 febrile patients, 350(38.93%) were positive for Dengue infection. Out of them 264(75.43%) were positive for NS1, 82 (23.43%) were positive for IgM and 4 (1.14%) were positive for dengue NS1antigen + anti dengue IgM antibody. More than 50% patients belonged to age group 15-29 years. Males were predominant. More than 60% cases were detected in the post monsoon season. Conclusion: Highest dengue cases were detected in this year in comparison to the previous year’s probably due to re-emergence of DEN-3 serotype. Due to pattern of climate change, seasonal trend of dengue infection was not maintained. Moreover, unplanned urbanization and poor solid waste management have worsened the situation more. J Dhaka Medical College, Vol. 28, No.1, April, 2019, Page 105-111
Introduction: Dengue is now established as one of the most important Arboviral infection in tropical countries. As the epidemic continues worldwide, this Aedes mosquito-transmitted pathogen is considered a major re-emerging tropical disease and significant public health concern. The study was conducted to determine the sero-epidemiology and clinical picture of dengue virus infection among the clinically suspected patients attended in Dhaka Medical College Hospital during January to December 2016.Materials and Methods: The study was carried out on 145 clinically suspected Dengue patients attended in Dhaka Medical College Hospital from January to December 2016 who had fever with temperature >39°C. Blood sample was collected during acute febrile phase of patients and separated sera were tested for NS1 dengue antigen and IgM antibodies using commercial test kits (NS1 by OMC Healthcare (Pvt.) Ltd & IgM antibody by Omega Diagnostics Ltd.).Results: Of the total 145 patients 40 (27.6%) were positive for Dengue NS1 antigen and or IgM antibody test. Of the positive 40 patients, 18 (45%) were positive for NS1, 19 (47.5%) were positive for IgM and 3 (7.5%) were positive for both NS1 and IgM antibody. Major clinical manifestations were fever with arthralgia (79.5%) and retro-orbital pain (50%).Conclusion: Outbreak of Dengue fever is continuing every year and typical presentation of Dengue fever has changed. Arthralgia and retro orbital pain was the most common clinical feature in the present study instead of headache and rash with fever. A large number of suspected dengue cases were negative by Dengue tests for antigen NS1 and IgM antibody which suggests other organisms of similar clinical manifestations are becoming prevalent in Dhaka city.J Dhaka Medical College, Vol. 26, No.2, October, 2017, Page 111-116
Background: Urinary Tract Infection (UTI) implies presence of actively multiplying organisms in the urinary tract. Although it is infrequently associated with mortality, it is still an important cause of morbidity in the paediatric age group. Prompt diagnosis and early initiation of appropriate antibiotics in children reduce the morbidities associated with UTI. Objective: This study was undertaken to observe the clinical and laboratory profile of UTI in children attending outpatient department (OPD) of Combined Military Hospital (CMH) Dhaka. Methods: This observational cross sectional study was carried out in CMH Dhaka within the period of June 2015 to May 2016. A total of 120 children aged 0 months to 12 years attending paediatric OPD with symptoms of suspected UTI were included in this study. All the children were subjected to do urine analysis including microscopy and culture-sensitivity. Other relevant workups were also
Diabetes has become a pervasive and endemic health problem worldwide. It is a chronic disease and also life-threatening. It can cause health problems in many organs such as the heart, kidneys, eyes, nerves, and blood vessels. To reduce the fatality rate from diabetes, early prevention techniques are needed. Nowadays, machine learning techniques are used to predict or detect different life-threatening diseases like cancer, diabetes, heart diseases, thyroid, etc. In this study, a prediction model of diabetes mellitus was presented using the Pima Indian dataset. Three different machine learning techniques that Decision Tree (DT), Random Forest (RF) and, Gradient Boosting (GB) algorithm were used to predict diabetes mellitus and the performance analysis was performed. Confusion matrix, accuracy, F1 score, precision, recall, Cohen's kappa were evaluated and also a ROC curve was plotted. Out of the three techniques, the best results have been achieved with GB.
Background: Antibiotic sensitivity pattern of Neisseria gonorrhoae is changing frequently. Objective: The purpose of the present study was to see the antibiotic sensitivity pattern of Neisseria gonorrhoae isolated from women presented with cervicitis.Methodology: This cross sectional study.carried out in the Department of Microbiology at Dhaka Medical College, Dhaka from July 2011 to December 2012 for a period of one and half year. All the women presented with or without the clinical features of cervicitis at child bearing age (15 to 49 yrs) with or without pregnancy were enrolled as study population. Endocervical swabs were collected for Gram staining, culture, biochemical test from clinically diagnosed patients of cervicitis for presumptive identification of Neisseria gonorrhoeae. The isolates with presumptive identification were confirmed by rapid carbohydrate utilization test (RCUT), which differentiates N.gonorrhoeae from other Neisseria. Antimicrobial susceptibility test was done according CLSI guideline. Result: A total 245 females were recruited of which N. gonorrhoeae were detected from 39(15.9%) cases. Among 39 positive cases of gonococcal cervicitis, 19 (48.71%) were detected in the age group of 21-30 years. 56.41% were sensitive and 30.76% were resistant to ceftriaxone. Similarly 51.28% were sensitive and 23.07% were resistant to cefuroxime; 23.07% sensitive, 30.76% moderately sensitive and 46.15% resistant to ciprofloxacin. Conclusion: Gonococcal cervicitis is found in a high frequency rate with a reduced sensitivity to antibiotics especially ciprofloxacin, second and third generation cephalosporins.Bangladesh J Infect Dis 2014;1(1):3-7
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