Background: The Pharmacovigilance Program of India recommends the use of the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) scale, while many clinicians prefer the Naranjo algorithm for its simplicity. In the present study, we assessed agreement between the two widely used causality assessment scales, that is, the WHO-UMC criteria and the Naranjo algorithm. Materials and Methods: In this study, 842 individual case safety reports were randomly selected from 1000 spontaneously reported forms submitted to the ADR Monitoring Center at a tertiary healthcare Institute in Central India between 2016 and 2018. Two well-trained independent groups performed the causality assessment. One group performed a causality assessment of the 842 ADRs using the WHO-UMC criteria and the other group performed the same using the Naranjo algorithm. The agreement between two ADR causality scales was assessed using the weighted kappa (κ) test. Results: Cohen's kappa coefficient (κ) statistical test was applied between the two scales (WHO-UMC scale and Naranjo algorithm) to find out the agreement between these two scales. “No” agreement was found between the two scales {Kappa statistic with 95% confidence interval = 0.048 ( P < 0.001)}. Conclusion: There was no agreement found between the WHO-UMC criteria and the Naranjo algorithm in our study.

Background: Rational use of medicines (RUM) is highly desired worldwide yet many shortcomings are found. This study aims to evaluate prescription pattern and RUM using World Health Organisation (WHO) prescribing indicators.The impact of audit and feedback has also been studied, along with comparison with published data. Methods: A cross-sectional observational study was conducted in the outpatient department setting of a tertiary care centre in central India. Data were collected from 2719 prescriptions across different departments from hospital pharmacies from 2016 to 2018 at different time periods. The data was analysed using WHO core prescribing indicators.Results: Average number of drugs per prescription was found to be 2.53 � 1.23 (WHO optimal value ≤ 2). The mean values of prescribing indicators for antibiotics (19.82% vs. ≤ 30%) and injection prescribing (1.98% vs. ≤10%) were within optimal values. Generic prescribing (15.96% vs. 100%) and prescribing from National List of Essential Medicines (NLEM; 37.37% vs. 100%) were found to be significantly lesser. Annual audit and feedback showed improvement in generic prescribing and prescribing from NLEM, but the other trends continued to be similar. Conclusion:While use of antibiotics and injections among outpatients was found to be rational, there is scope of

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Antibody-dependent enhancement (ADE) can be seen in a variety of viruses. It has a deleterious impact on antibody treatment of viral infection. This effect was first discovered in the dengue virus, and it has since been discovered in the coronavirus. Over 213 million people have been affected by the rapid spread of the newly emerging coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). The new coronavirus offers a significant threat and has sparked widespread concern. ADE in dengue virus and other viruses are discussed with possible effect on COVID-19 treatment and vaccine development will need to consider this phenomenon to ensure it is mitigated and avoided altogether. In these case scenarios, the role of ADE and its clinical consequences remains to be explored for this newly detected virus.

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