Introduction:Psychological stress from the ongoing coronavirus disease 2019 (COVID-19) pandemic can potentially aggravate the course of several stress-sensitive skin and hair diseases. This study aimed to determine the potential association of COVID-19 stress with hair diseases, such as telogen effluvium (TE), alopecia areata (AA), and seborrheic dermatitis (SD), among medical students in Bangladesh.MethodsThis online-based cross-sectional study was conducted among 404 medical students of Bangladesh using a self-administered questionnaire, including sociodemographic information, status of hair diseases (i.e., TE, AA, and SD), COVID-19 fear scale, impact of event scale specific for COVID-19 (IES-COVID-19), and COVID-19 student stress questionnaire (CSSQ) scale, to determine pandemic-related stress. The logistic regression model was used to analyze the association.ResultsOverall prevalence of TE, AA, and SD was 61.1, 24.7, and 57.7%, respectively, with female predominance in case of TE and male predominance in case of AA and SD. More than half of the participants had COVID-19-related fear and traumatic stress symptoms. In the multiple logistic regression model, smoking [adjusted odds ratio (aOR) 2.93, 95% CI 1.29–6.65 for AA and aOR 4.19, 95% CI 1.83–9.56 for TE], COVID-19-related fear (aOR 1.70, 95% CI 1.01–2.89 for AA and aOR 2.620, 95% CI 1.25–5.48 for TE), and COVID-19-related traumatic stress symptoms (aOR 1.84, 95% CI 1.08–3.13 for AA, aOR 2.61, 95% CI 1.19–5.68 for TE, and aOR 1.92, 95% CI 1.14–3.25 for SD) were the risk factors of hair fall disorders.ConclusionOur study showed that a large number of medical students experienced TE, AA, and SD during the pandemic era. COVID-19-related stress and fear potentially have an association with these diseases.

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Background Antimicrobial resistance is an emerging concern globally in recent years. Management of common infectious diseases like urinary tract infection (UTI) has become challenging. In this context, the purpose of this study is to compare the shifting trends in bacteriology and antibiotic resistance pattern among uropathogens to similar studies conducted at various times in Bangladesh. Methods It was a cross-sectional study conducted at the CUMILLA MEDICAL COLLEGE HOSPITAL’S MEDICINE DEPARTMENT in three phases (2011, 2016, 2021. Patients who visited the outpatient and inpatient departments of the study center with symptoms suggestive of a urinary tract infection were undergone urine culture. Those who yielded positive growth in urne culture were finally included in the study. Results Escherichia coli (62% in 2021, 86% in 2016 and 76% in 2011) and Klebsiella species (11% in 2021, 10% in 2016 and 11% in 2011) were the most frequently isolated bacteria. Overall, in Gram-negative organisms, resistance was almost > 50% to all the tested antibiotics. Very high frequency of resistance ranging from 66.67 to 93.75% to cotrimoxazole, ciprofloxacin, cefuroxime, cephradine, amoxicillin and nalidixic acid, moderately high resistance to ceftriaxone (64.52%) and gentamicin (53.13%) and low resistance to nitrofurantoin (25.38%) were shown by the most commonly isolated organisms. Resistance to common antibiotics has been significantly increased over time in the isolated orgnaisms, especially in carbapenem and aminoglycoside group. Conclusion Resistance of uropathogens against conventional antibiotics used to treat UTI is high and the proportion has been increased over time. The situation might be grave in upcoming years if rational consumption of antibiotics is not warranted.

Background Adherence to inhaler medication is an important contributor to optimum asthma control along with adequate pharmacotherapy. The objective of the present study was to assess self-reported adherence levels and to identify the potential factors associated with non-adherence to the inhalers among asthma patients. Methods This facility-based cross-sectional study was conducted in the medicine outpatient department of Rajshahi Medical College Hospital from November 2020 to January 2021. A total of 357 clinically confirmed adult asthma patients were interviewed. Inhaler adherence was measured using the 10-item Test of Adherence scale (TAI).. Both descriptive and inferential statistics were used to express the socio-demographic of the patients and predictors of poor adherence to inhaler. Results A substantial number of participants were non-adherent (86%) to inhaler medication. Patients non-adherent to inhaler medication are often younger (23.15, 95% CI 3.67–146.08), lived in the rural area (23.28, 95% CI 2.43–222.66), less year of schooling (5.69, 95% CI 1.27–25.44), and belonged to the middle income (aOR 9.74, 95% CI 2.11–44.9) than those adherent with the inhaler. The presence of comorbidities (12.91, 95% CI 1.41–117.61), prolonged duration of inhaler intake (5.69, 95% CI 1.22–26.49), consulting non-qualified practitioners (13.09, 95% CI 3.10–55.26) were the significant contributor of non-adherence. Conclusion Despite ongoing motivation and treatment, non-adherence to inhalation anti-asthmatic is high and several factors have been found to contribute. Regular monitoring and a guided patient-centered self-management approach might be helpful to address them in long run.