Background: Health care workers (HCWs) are at high risk of acquiring infections during this ongoing COVID-19 outbreak. This study was aimed at determining the prevalence of SARS-CoV-2 infection, the socio demographic and clinical profile and the possible risk factors for infection among the HCWs at Mugda Medical College Hospital (MuMCH). Method: This retrospective observational study was done among the HCWs of MuMCH from 19 April, 2020 to 15 May, 2020. The SARS-CoV-2 positive 37 HCWs were interviewed over telephone by a structured questionnaire and the obtained data were analyzed by using descriptive statistics. Result: Out of total 343 HCWs, total 37(10.79%) cases were detected COVID-19 positive. Out of them, 13(35.14%) were male and 24 (64.86%) were female. The median age was 36 years. Among the infected HCWs, 26 (70.27%) did not have any pre-existing comorbidities. Bronchial asthma (13.51%) and HTN (13.51%) were the most prevalent comorbidities. Around 43.24% (16) had no definite symptoms for COVID- 19. Among the 21(56.76%) symptomatic cases, 15(40.54%) had mild and 6(16.22%) had moderate symptoms. The most common symptoms were cough (16, 43.24%), fever (11, 29.73%), sore throat (7, 18.92%) and fatigue/malaise (7, 18.92%). All had completely recovered uneventfully although 22(59.46%) got admitted to hospital. Only 12(32.43%) were involved in aerosol generating procedure. Total 26 cases (70.27%) used appropriate PPE during their duty. Although only 4(10.81%) got adequate training on PPE use, 33(89.19%) of them had adequate knowledge on that. About 15(40.54%) were reusing PPEs. Most of them (33, 89.20%) were not taking any chemoprophylaxis; all were following traditional preventive measures. Among the HCWs, 26(70.27%) were not satisfied with the infection prevention and control (IPC) measures taken by the hospital authority. All of them presumed that, their occupational exposure was the possible source of COVID-19 infection. Conclusion: More than 1 in 10 HCWs at MuMCH was infected with SARS-CoV-2 while working at the hospital. They represented the younger age group, had fewer comorbidities. Nurses were the most affected category. All experienced uneventful recovery and most of them were not satisfied with the IPC measures taken by the hospital authority. Further studies are required to identify the level of risk of infection, possible risk factors and outcomes and to improve the IPC measures of the hospital. J Bangladesh Coll Phys Surg 2020; 38(0): 43-49

Abstract

Background: Dengue is an endemic disease for Bangladesh with occasional outbreak. Little is known about the predictors of severe dengue. Methods: This cross sectional study was conducted in the medicine department of Dhaka Medical College from April 2019 to March 2020. Total 199 consecutive patients were enrolled in this study. For the purpose of the analysis, dengue fever was classified as group I and dengue hemorrhagic fever and dengue shock syndrome was classified as group II. Results: The mean (SD) age of the study population was 28.5(12.1) and 87.4% were less than 40 years of age. The male and female ratio was about 3:1. Among the total study population, 149(74.9%) patients had DF, 46 (23.1%) had DHF and only 4 (2%) had DSS on presentation. Baseline demography and clinical presentation did not significantly differ between classical dengue and severe dengue. Previous history of dengue had low association with severity (RR, 95%CI, phi, P value; 1.2, 1.04-1.40, 0.25, 0.001).Most of the laboratory parameters were similar between the groups. The number of platelet count was significantly lower in DHF and DSS [median (IQR) 43500(16500-95250], than DF [median (IQR) 65000(33000-1170000, p-value 0.01] Conclusion: Previous infection with dengue virus and decreasing platelet count are the predictors of the severe dengue. J Dhaka Medical College, Vol. 29, No.1, April, 2020, Page 77-82

Background: The novel corona virus has been identified as the cause of respiratory illness in Wuhan, Hubei province, China, since December, 2019. It has spread almost all the countries and areas (212) in world. Due to distinct demographics of infection, variation of case fatality and clinical presentation in different countries, the knowledge of demographic distribution and analysis of clinical profile from this study would help for patient management of COVID-19 till the invention of specific drug and vaccines. We aimed to analyze the clinical profile of fist 100 cases of COVID-19 admitted in a teaching hospital. Methods: In this observational study, RT-PCR confirmed first 100 hospitalized COVID-19 cases, admitted in Mugda Medical College Hospital were included. With well informed consent, a structured questionnaire was fulfilled during the time of hospital stay. Data were analyzed with clinical outcome, hospital stay, clinical staging and comorbidity of admitted patient from 20th March to 10th April. Results: Among the total participants, male were predominate (59%). Age groups were ranging from 9 to 80 years and mean age was 43 years. Common symptoms were fever (91%), cough (33%), dyspnea (41%), sore throat (12%), diarrhea (12%) and myalgia (2%). Mild cases (53%) were common, followed by moderate (31%), severe (13%) and critical (3%). Average hospital stay was 11 days. Common comorbidities were diabetes mellitus (21%), hypertension (17%), chronic kidney disease (11%), bronchial asthma (8%), stroke (3%) and ischaemic heart disease (2%). Conclusion: Distinct demographic presentation with age variability, clinical presentation with variable fatality in different countries may help the further steps taken by the policymaker of low resource country for the prevention of infection and management of COVID-19. Birdem Med J 2020; 10, COVID Supplement: 18-22

Marfan’s Syndrome patients with aortic root aneurysm or dissection may present with shortness of breath and chest pain and may be missed during clinical evaluation. Subsequently, sudden aortic rupture may occur in these groups of patients and give rise to fatal outcome. Increasing awareness of Marfanoid signs amongst clinicians are important for early diagnosis and treatment of dissecting aortic aneurysm. Marfan’s Syndrome with dissecting aortic aneurysm should not be overlooked among patients with shortness of breath, chest pain and aortic regurgitation. Here we report a case of Marfan’s Syndrome who presented with non-exertional chest pain.University Heart Journal Vol. 10, No. 1, January 2014; 39-41