Objectives:Recent studies after the outbreak of coronavirus disease 2019 have shown an association of the ABO blood group to the susceptibility of severe acute respiratory syndrome coronavirus 2 infection. Anti-A and anti-B antibodies, carbohydrate clustering, interleukin-6 levels and host transmembrane protease serine subtype 2 were suggested to cause the variable susceptibility of severe acute respiratory syndrome coronavirus 2 infection to the ABO blood groups. This study aims to find the association of the ABO blood group with severe acute respiratory syndrome coronavirus 2 infection susceptibility in Nepal.Methods:Population-based matched case–control study was conducted from October 2021 to February 2022 in Rupandehi district of Nepal. A total of 1091 reverse transcription-polymerase chain reaction confirmed coronavirus disease 2019 cases and 2182 controls were included in the study by convenient sampling method.Results:A statistically significant association of severe acute respiratory syndrome coronavirus 2 infection was observed for the blood group AB between cases and controls (11.5% vs 8.5%; odds ratio = 1.4, 95% confidence interval = 1.10–1.78). However, there was no association of severe acute respiratory syndrome coronavirus 2 infection for blood group A (26.7% vs 28.23%; odds ratio = 0.93, 95% confidence interval = 0.79–1.09), B (26.9% vs 29.84%; odds ratio = 0.86, 95% confidence interval = 0.73–1.02) and O (34.9% vs 33.41%; odds ratio = 1.07, 95% confidence interval = 0.92–1.25).Conclusion:This study reported slightly more susceptibility to severe acute respiratory syndrome coronavirus 2 infection among individuals with blood group AB.

The prevalence of hepatitis B virus among HIV-seropositive individuals is believed to be high, and yet the disease remains neglected in many areas of the continent. Little is known about occult hepatitis in HIV individuals. This review assessed occult hepatitis B infection and its prevalence in the different regions of the African continent. It also determines its prevalence in the HIV population which is endemic in the region. Studies were searched from the Cochrane, google scholar, PubMed/Medline, and African Journals online. Authors included cross-sectional studies, case controls, and cohorts, from 2010 to January 2021, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Participants, Interventions, Comparisons, Outcomes, and Study design frameworks to develop the search strategy. All studies had participants who were HIV-positive, covering different regions of the continent. Risk ratio was used to measure effect size, and Stata 14 software was used for analysis. Eleven studies met the eligibility criteria, with 2567 participants. Overall prevalence of occult hepatitis B was 11.2%. Regional prevalence was 26.5% for the south, 11% for the north, 9.1% for the east, and 8.5% for the western region. Approximately 10% of HIV-seropositive individuals were co-infected with occult hepatitis B virus. Regionally, the prevalence was highest in the southern region and lowest in the west. The prevalence of occult HBV infection was compared between the southern region and the other regions. It was higher in the south compared to the east (risk ratio = 0.87, 95% confidence interval (0.83–0.91)). It was also higher in the south compared to the north (risk ratio = 0.82, 95% confidence interval (0.79–0.85)), and it was also higher in the south compared to the west (risk ratio = 0.85, 95% confidence interval (0.82–0.87)). Public health measures and interventions are required to raise awareness, increase prevention, and reduce spread of the disease. More evidence-based studies need to be carried out.

Background: Diabetes mellitus is a chronic, systemic and metabolic disorder known to affect almost every organ due to its unequivocal complications. The auditory organ is often affected but usually ignored complications of diabetes mellitus. With the rise in the prevalence of diabetes mellitus and hearing impairment in developing countries, it becomes a crucial public health issue if both of them are found to be associated. Objective: To find the prevalence of hearing impairment in diabetic patients. Materials and Methods: This was a cross-sectional study conducted at the Department of Clinical Physiology in collaboration with the Department of General Practice and Emergency Medicine and the Department of Otorhinolaryngology- Head and Neck Surgery, Tribhuvan University Teaching Hospital. After applying exclusion criteria, 55 subjects were recruited for the study. Pure Tone Audiometry, a non-invasive test was used to assess hearing threshold in this study. Audiogram findings of diabetics were then analyzed. Results: Outcomes of the tests revealed that 17 (30%) of subjects with diabetes mellitus had hearing loss, out of which 13 had mild hearing loss. A significantly positive correlation was found between age and hearing threshold at every frequency. Higher frequencies were found to be more affected. The best cut-off age for onset of hearing loss in diabetics was found to be 51.50 years. Conclusion: Current study suggests a 30% prevalence of hearing loss in diabetes mellitus. We observed hearing loss more among the elderly at higher frequencies

Introduction Hand grip strength is used in evaluation of muscle strength and is also increasingly being used as an indicator for nutritional status. The maximum force applied voluntarily by the subject is called maximum handgrip strength, which is measured in kilograms. Muscular endurance is the ability of a muscle or muscle group to perform against a load for an extended period of time, measured in seconds. This study aims to correlate body mass index with handgrip strength and handgrip endurance in medical students. MethodsThis is a cross sectional, observational study which included 74 undergraduate students of Maharajgunj Medical Campus by convenient sampling method. Body mass index was calculated by Quetelet’s formula. Camry digital hand dynamometer was used to measure handgrip strength in the dominant hand in kilograms. Participants were instructed to hold dynamometer with maintained pressure of 30% of maximum handgrip strength for as long as possible to determine the handgrip endurance. Statistical analyses were performed with SPSS Statistics software. ResultsThe handgrip strength was more in males than females with a mean of 43.09±3.72 kg, while handgrip endurance was more in females with a mean of 123.60±50.65 sec. Positive correlation was seen between body mass index and handgrip strength (r=0.23 and p=0.045). Body mass index and handgrip endurance also showed positive correlation (r=0.34 and p=0.003). ConclusionSignificant correlation of body mass index with handgrip strength and handgrip endurance was seen in medical students.

Introduction: Height is used to calculating body mass index and body surface area which are used to interpret renal function tests and pulmonary function tests. The maximum vertical measurement of a person is the standing height. Arm span is the measurement between the tip of the middle finger of the right and left hands. The exact standing height of patients with abnormalities of disproportionate growth, spine deformities, skeletal dysplasia, limb deformities, amputated limb, pain, weakness or paralysis cannot be measured. In these conditions, an arm span may be used to determine the height of a person. Objective: This study aims to determine the association of height and arm span among the medical students of Maharajgunj, Medical Campus, Nepal. Methods: A cross-sectional analytical study was conducted among medical students in the Clinical Physiology Department of Maharajgunj Medical Campus from November 2020 to October 2021. Non-probability, the convenience sampling method was adopted and a total of 110 participants were enrolled in the study including 55 males and 55 females. Pearson’s correlation coefficient was used to find the association between height and arm span. A simple linear regression test was also used to formulate the equations of height and arm span and data analysis was done using SPSS version 25. Results: A significant positive correlation was observed between height and arm span where the total participants had r-value=0.765(p=0.00), males had r-value=0.557(p =0.00) and female had r-value=0.778(p=0.00). Conclusions: A strong positive correlation was observed between height and arm span among the participants.