Hepatitis B virus total core antibody status in unvaccinated general population in a community of Bangladesh

Background: Hepatitis B virus (HBV) infection poses a significant health challenge in Bangladesh, with the hepatitis B core antibody (anti-HBc) being a crucial marker due to its lifelong presence in the bloodstream. This study aimed to evaluate the prevalence of anti-HBc (total) positivity among unvaccinated adults in Northeastern Bangladesh. Methods: This cross-sectional observational study was conducted in the Sobhanighat area of Sylhet, Bangladesh, in collaboration with the department of gastroenterology, Sylhet MAG Osmani Medical College, from November 2022 to August 2023. A total of 216 participants were selected using consecutive sampling. HBsAg, anti-HBs, and anti-HBc (total) were tested for all subjects, and data were collected using a pre-formed questionnaire and analyzed using statistical package for the social sciences (SPSS) version 24. Results: Among the participants, 16 (7.4%) tested positive for anti-HBc (total), while HBsAg was positive in 6 (2.77%) individuals. Anti-HBs was detectable in 23 (10.6%) participants, with 3 (1.38%) showing isolated anti-HBc positivity. Notably, 20% of HBsAg-positive cases exhibited heterotypic anti-HBs. Moreover, 56.25% of respondents with anti-HBc (total) positivity had detectable anti-HBs (p<0.001). Gender did not show significant associations with HBsAg, anti-HBc (total), anti-HBs, or isolated anti-HBc (p>0.05). Conclusions: The study underscores a notable prevalence of anti-HBc (total) positivity among unvaccinated individuals in Bangladesh, indicative of past HBV exposure. It underscores the necessity for enhanced vaccination coverage and robust infection control measures to mitigate HBV transmission in this demographic

Acid Hydrolysis of Bromazepam Catalyzed by Micelles, Reverse Micelles, and Microemulsions

Kinetics of the acid hydrolysis of bromazepam (Bz) has been investigated in micelles, reverse micelles, and microemulcions of cetyltrimethylammonium bromide (CTAB) by spectrophotometric method. The rate of the acid hydrolysis of Bz was found to be enhanced both below and above the critical micelle concentration (CMC) of CTAB in aqueous solution. The pseudo-first-order rate constant (k′) shows an initial decrease for both low and high H+ concentrations. With further increase in [CTAB], at low [H+], the k′ attains an almost constant value, while, at high [H+], the k′ passes through a maximum and then decreases. The kinetic data for catalysis by micelles of CTAB was interpreted with the pseudophase ion exchange (PIE) model. In CTAB/cyclohexane/1-butanol/water microemulsions, as the water to surfactant ratio (wo) increases, the physicochemical properties and droplet sizes of microemulsions significantly change and distinct changes in reaction environment can be marked. The rate of the hydrolysis reaction exhibits excellent correlation with the physicochemical properties and droplet sizes of the microemulsions and reverse micelles of CTAB. At [H+] = 0.001 M, in reverse micelles and microemulsions of CTAB, the k′ of the acid hydrolysis of Bz decreases sharply followed by a slight increase with increasing wo

Capturing and monitoring global differences in untreated and treated end-stage kidney disease, kidney replacement therapy modality, and outcomes

A large gap between the number of people with end-stage kidney disease (ESKD) who received kidney replacement therapy (KRT) and those who needed it has been recently identified, and it is estimated that approximately one-half to three-quarters of all people with ESKD in the world may have died prematurely because they could not receive KRT. This estimate is aligned with a previous report that estimated that >3 million people in the world died each year because they could not access KRT. This review discusses the reasons for the differences in treated and untreated ESKD and KRT modalities and outcomes and presents strategies to close the global KRT gap by establishing robust health information systems to guide resource allocation to areas of need, inform KRT service planning, enable policy development, and monitor KRT health outcomes

Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting

BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, meaning that early identification is often contingent on individuals reporting their injury to medical staff. A fundamental understanding of the types and levels of factors that explain when concussions are reported can help identify promising directions for intervention. PURPOSE: To identify individual and institutional factors that predict immediate (vs delayed) injury reporting. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: This study was a secondary analysis of data from the Concussion Assessment, Research and Education (CARE) Consortium study. The sample included 3213 collegiate athletes and military service academy cadets who were diagnosed with a concussion during the study period. Participants were from 27 civilian institutions and 3 military institutions in the United States. Machine learning techniques were used to build models predicting who would report an injury immediately after a concussive event (measured by an athletic trainer denoting the injury as being reported "immediately" or "at a delay"), including both individual athlete/cadet and institutional characteristics. RESULTS: In the sample as a whole, combining individual factors enabled prediction of reporting immediacy, with mean accuracies between 55.8% and 62.6%, depending on classifier type and sample subset; adding institutional factors improved reporting prediction accuracies by 1 to 6 percentage points. At the individual level, injury-related altered mental status and loss of consciousness were most predictive of immediate reporting, which may be the result of observable signs leading to the injury report being externally mediated. At the institutional level, important attributes included athletic department annual revenue and ratio of athletes to athletic trainers. CONCLUSION: Further study is needed on the pathways through which institutional decisions about resource allocation, including decisions about sports medicine staffing, may contribute to reporting immediacy. More broadly, the relatively low accuracy of the machine learning models tested suggests the importance of continued expansion in how reporting is understood and facilitated

Late Professor Syed Nurun Nabi

Abstract Not Available&#x0D; J. Bangladesh Acad. Sci. 45(1); ii: June 2021</jats:p