Antibiotic residues in pasteurised and Raw Cow's milk in Dhaka, Bangladesh.

This study aimed to investigate antibiotic residues such as oxytetracycline, ciprofloxacin, enrofloxacin and levofloxacin, in both pasteurised and raw cow's milk. A method using high-performance liquid chromatography with a UV detector (HPLC-UV) was developed and validated following International Conference on Harmonization (ICH) guidelines for simultaneous detection and quantification of these residues. The technique demonstrated linearity, with r2 values ranging from 0.999 to 1.00 within the 1.3-15.0 µg ml-1 range for each antibiotic. Thirty cow's milk samples, raw and pasteurised, from Dhaka's local markets were analysed, revealing the presence of enrofloxacin and levofloxacin, while oxytetracycline was absent in all samples. Notably, pasteurised milk samples contained enrofloxacin, levofloxacin and oxytetracycline, with groups P6 and P7 exceeding the Maximum Residue Limit for enrofloxacin, levofloxacin and ciprofloxacin (121 µg l-1). This study emphasises antibiotic residues in milk, with a validated method holding promise for routine analysis in industries requiring simultaneous quantitation of multiple antibiotics.

Comparative analysis of prescription patterns and errors in government versus private hospitals in Dhaka: A cross-sectional study.

Background and Objectives: Prescription errors can inadvertently compromise the effectiveness and increase the risk of adverse events. This study aims to compare prescription patterns and errors between government and private hospitals in Dhaka, Bangladesh, by evaluating the World Health Organization (WHO) prescription indicators, polypharmacy, and omission errors. Methods: Between September 2021 and November 2021, a total of 399 prescriptions were collected from outpatient departments of various government and private hospitals from patients or their attendants. The data were analyzed using the statistical package STATA 15. Chi-square and Fisher's exact test were employed to determine associations (p < 0.05) among various types of categorical data. Results: Of the collected prescriptions, 48% (n = 192) were from government, while 52% (n = 207) were from private hospitals. The mean number of medicines per prescription was 5.16 for government and 5.87 for private hospitals. Generic names were absent (0%) in both types of hospitals. Antibiotics were present in 34.37% of prescriptions from government and 51.69% from private hospitals. Moreover, injection were found in 17.70% of government and 18.35% of private hospitals' prescriptions. Government hospitals adhered to 67.97% of the essential drug list, whereas private hospitals adhered to 80.42%. Associations between hospital types were observed in missing age, and comorbidities, while no association was found in inscription mistakes. Missing dates and signatures were also associated with hospital types. Polypharmacy was observed in 49.47% of government hospitals and 71.01% of private hospitals. Additionally, polypharmacy in females, pediatrics, geriatrics, and missing comorbidity were also associated with hospital types (p < 0.05). Conclusion: Both government and private hospitals exhibited similar deviations from the WHO prescribing indicators. While government hospitals showed more omission errors, private hospitals exhibited higher rates of polypharmacy. Physicians in both types of hospitals should be vigilant about omission errors, maintain the WHO prescribing indicators, and minimize polypharmacy.

Role of pattern recognition receptors in sensing Mycobacterium tuberculosis.

Mycobacterium tuberculosis is one of the major invasive intracellular pathogens causing most deaths by a single infectious agent. The interaction between host immune cells and this pathogen is the focal point of the disease, Tuberculosis. Host immune cells not only mount the protective action against this pathogen but also serve as the primary niche for growth. Thus, recognition of this pathogen by host immune cells and following signaling cascades are key dictators of the disease state. Immune cells, mainly belonging to myeloid cell lineage, recognize a wide variety of Mycobacterium tuberculosis ligands ranging from carbohydrate and lipids to proteins to nucleic acids by different membrane-bound and soluble pattern recognition receptors. Simultaneous interaction between different host receptors and pathogen ligands leads to immune-inflammatory response as well as contributes to virulence. This review summarizes the contribution of pattern recognition receptors of host immune cells in recognizing Mycobacterium tuberculosis and subsequent initiation of signaling pathways to provide the molecular insight of the specific Mtb ligands interacting with specific PRR, key adaptor molecules of the downstream signaling pathways and the resultant effector functions which will aid in identifying novel drug targets, and developing novel drugs and adjuvants.

A cross-sectional study on current prescription trends and errors in outpatient department of a Bangladeshi secondary care district hospital.

Context: The rational prescription leads to a healthy and good-quality life of a patient. Irrational, inappropriate, and unnecessary prescriptions are major therapeutic issues in Bangladesh, which can cause severe consequences. Aim: This cross-sectional study was conducted to evaluate the prescription patterns and errors as well as to review the most frequently prescribed drug classes among outpatients at a secondary hospital in Pabna, a district of Bangladesh. Methods: A total of 400 prescriptions were reviewed from March 2019 to May 2019. In this study, statistical data analysis was implemented by IBM SPSS Statistics V22 and data revealed in frequencies, mean, and percentage. Spearman's rank correlation coefficient was calculated to show the correlation between bivariate coded variables. Results: The results revealed that majority of the prescription were prescribed for females (73.5%) where proton-pump inhibitors (PPIs), analgesics, vitamins, and single antibiotics were most frequently prescribed medicine for the female patients compared to male patients. Almost half of the collected prescription contained four medicines (47%). Maximum number of prescriptions contained two (30.5%) essential drugs and among 1402 medicines of 400 prescriptions, antiulcerants were most frequently prescribed medicine (23.32%) where esomeprazole was highly prescribed generic drug (44.75%). Moreover, Spearman's rank correlation coefficient suggested that PPIs and analgesics were frequently prescribed medicines at a time for the patients (0.182). According to the age group, the study also got some significant variations in prescribing pattern. However, most common prescription errors were prescriber's name not mentioned (100%), diagnosis not mentioned (96.75%), dose not indicated (15.41%), and wrong drug name (0.36%). Conclusion: Findings of the current study represent the existing prescribing trends of different therapeutic classes of drugs and common prescription errors in a secondary health facility of Bangladesh. From this study, it is observed that physicians prescribed rationally in some cases but need to ensure rationality in all prescriptions. Continuous monitoring of drug use, development of prescribing guidelines, and training are recommended to ensure and implement good-quality prescribing practices for promoting the rational and cost-effective use of drugs.

Evaluation of sleep quality, psychological states and subsequent self-medication practice among the Bangladeshi population during Covid-19 pandemic.

INTRODUCTION: Due to the extended lockdown imposed for SARS-CoV-2 pandemic, many people have experienced problematic sleep patterns and associated health issues worldwide. This study was conducted to assess the sleep quality and psychological states of the Bangladeshi population during the COVID-19 pandemic, respondent's behavioral traits as well as psychological or sleep-related problems induced self-medication practice among the respondents, along with the probability of development of drug dependency. METHODS: The survey was conducted among 2941 respondents from 25th November 2020 to 4th December 2020 where the responses were analyzed by SPSS V22. RESULTS: 10-29.5% experienced a significant degree of sleep problems whereas some experienced severe anxiety and depression. The associations between the behavioral traits and parameters concerning sleep quality, anxiety and depression showed 5% level of significance in all cases. Self-medication practice of sleep aids during this pandemic was reported by 7.14% of the respondents, with a greater percentage belonging to the female or senior age group. Tendency to repeatedly self-medication was observed in 18.86% of this self-medicating populace, and a greater number of male (10.26%) respondents displayed such tendency as opposed to their female (8.6%) equivalents. However, 48.10% of the respondents reported perceptions of improved physical and/or psychological health following self-medication, and this trait was predominant in men (52.14%). CONCLUSION: Results showed a significant number of Bangladeshi populaces were suffering from psychological issues during this COVID-19 which also influenced a certain number of people towards self-medication practice where signs of drug dependency were observed in a significant number of respondents.