Evaluation of disease distribution and drug utilization for management of psoriasis patients in dermatology OPD of a tertiary care centre: a retrospective observational study

Background: Psoriasis is a chronic skin disorder that can have different clinical presentations. Topical corticosteroids are the primary therapy for psoriasis, but there are many new drug options approved for its treatment. The aim of this study was to assess the prescription patterns and disease distribution of psoriasis patients in a tertiary care center in central India. Methods: We conducted a retrospective observational study of 195 psoriasis patients treated in the Dermatology OPD of a teaching hospital from September 2020 to June 2021. We analyzed patient data for demographics, disease characteristics, and medications prescribed using frequency distributions in Microsoft Excel. Results: Plaque psoriasis was the most common clinical variant among the patients, and the male to female ratio was 1.5:1. February had the highest number of patients treated, indicating an aggravation of symptoms during cold weather. Most patients (93.33%) were prescribed topical corticosteroids, with clobetasol being the most commonly used medication (78%). The average number of drugs per prescription was 5, with other drugs prescribed including emollients (53.33%), vitamin D (31.7%), anti-histamines (21.02%), and methotrexate (5.1%). Conclusions: Topical corticosteroids, particularly clobetasol, were the most commonly prescribed medication for psoriasis patients in this study. Multiple drugs were needed for the management of most patients. The study provides insights into the prescription patterns of psoriasis medications, which may improve patient care and outcomes

Drug utilization study of patients with dermatophytosis attending dermatology outpatient department in tertiary care teaching hospital in Central India

Background: Dermatophytosis is a common fungal infection in India, with prevalence ranging from 36.6% to 78.4%. Treatment options include topical and systemic antifungal agents such as amphotericin B, clotrimazole, miconazole, luliconazole, itraconazole, and terbinafine. With the availability of newer antifungal drugs, a drug utilization study is necessary to understand prescription patterns and promote rational use. Methods: This is a retrospective observational study conducted among the patients attending outpatient department of dermatology of Indira Gandhi Government Medical College and Mayo Hospital. Prescription of patients with diagnosis of tinea were collected using efficient digital database. These prescriptions were then analysed depending on their demographic profile, treatment and then results were evaluated with the help of MS Excel and results presented as percentage and proportion. Results: Total 3701 patients had tinea with 1658 females and 2043 males with majority of patients from 16 to 30 years of age. 81% medicine were prescribed using brand names with prescription containing maximum antifungal drugs followed by antihistaminic drugs. Most common drug prescribed was terbinafine (29%), followed by luliconazole (27.46%) and itraconazole (17%). Most commonly topical antifungal agents were prescribed as cream (35.80%) followed by as lotion (26.26%). Conclusions: Drug utilisation pattern study like this is very important for studying the varying prescription pattern in treatment of dermatophytosis and to make a first step towards uniform and rational drug prescription

Blockchain-Based Secure Traceable Scheme for Food Supply Chain

The typical food traceability system’s data layer is made up of relational databases managed by core businesses, which cannot ensure data security. It is inefficient and requires a lot of upkeep. The food supply chain has numerous actors, making it difficult for consumers to safeguard their rights when purchasing food with quality issues. Due to the numerous organizations involved in the food supply chain, food safety monitoring and traceability have become challenging. The supply chain’s major organizations have control and administrative authority over the data under the current food traceability system, which is overly centralized for traceability information. The safety and dependability of food may be ensured by using the food traceability system to track food information. We can witness a series of detailed insights into food from the manufacturing source to the consumption terminal. A blockchain-based food tracking system is created as a solution to these issues. On the Ethereum platform, the system was created. It was also employed in the blockchain system, in addition to its features of decentralization, tamper-proof, and traceability. To implement the data update service and the food recall function, introduce the Food and Drug Administration node. Consumers have the option to not only enquire about food traceability throughout the manufacturing process but also to file complaints regarding the traceability system’s rights protection

Studying the effect of lockdown using epidemiological modelling of COVID-19 and a quantum computational approach using the Ising spin interaction

COVID-19 is a respiratory tract infection that can range from being mild to fatal. In India, the countrywide lockdown has been imposed since 24th march 2020, and has got multiple extensions with different guidelines for each phase. Among various models of epidemiology, we use the SIR(D) model to analyze the extent to which this multi-phased lockdown has been active in ‘flattening the curve’ and lower the threat. Analyzing the effect of lockdown on the infection may provide a better insight into the evolution of epidemic while implementing the quarantine procedures as well as improving the healthcare facilities. For accurate modelling, incorporating various parameters along with sophisticated computational facilities are required. Parallel to SIRD modelling, we tend to compare it with the Ising model and derive a quantum circuit that incorporates the rate of infection and rate of recovery, etc as its parameters. The probabilistic plots obtained from the circuit qualitatively resemble the shape of the curve for the spread of Coronavirus. We also demonstrate how the curve flattens when the lockdown is imposed. This kind of quantum computational approach can be useful in reducing space and time complexities of a huge amount of information related to the epidemic

Acceptability of PrEP among MSM and transgender communities-Qualitative findings from two metropolitan cities in India.

BackgroundGlobal evidence suggests that Pre-Exposure Prophylaxis (PrEP) plays a pivotal role in reducing new HIV-infections among key populations (KP). However, the acceptability of PrEP differs across different geographical and cultural settings and among different KP typologies. Men who have sex with men (MSM) and transgender (TG) communities in India have around 15-17 times higher prevalence of human immunodeficiency virus (HIV) than the general population. The low rates of consistent condom use and poor coverage of HIV testing and treatment among the MSM and transgender communities highlight the need for alternative HIV prevention options.MethodsWe used data from 20 in-depth interviews and 24 focused group discussions involving 143 MSM and 97 transgender individuals from the two metropolitan cities (Bengaluru and Delhi) in India to qualitatively explore their acceptability of PrEP as a HIV prevention tool. We coded data in NVivo and conducted extensive thematic content analysis.ResultsAwareness and use of PrEP were minimal among the MSM and transgender communities in both cities. However, on being provided with information on PrEP, both MSM and transgender communities expressed willingness to use PrEP as an additional HIV-prevention tool, to complement inability to consistently use condoms. PrEP was also perceived as a tool that could enhance the uptake of HIV-testing and counseling services. PrEP awareness, availability, accessibility and affordability were identified as determining factors that could influence its acceptability. Challenges such as stigma and discrimination, interrupted supply of drugs and non-community-friendly drug dispensing sites were identified barriers to continuing PrEP.ConclusionsUsing qualitative data from two Indian settings, this study provides community perspectives and recommendations to stakeholders and policymakers for introduction of PrEP into programs as a prevention tool among MSM and transgender communities in India

Differential desulfurization of dibenzothiophene by newly identified MTCC strains: Influence of Operon Array.

Since the sulfur specific cleavage is vital for the organic sulfur removal from fossil fuel, we explored potential bacterial strains of MTCC (Microbial Type Culture Collection) to desulfurize the Dibenzothiophene (DBT) through C-S bond cleavage (4-S pathway). MTCC strains Rhodococcus rhodochrous (3552), Arthrobacter sulfureus (3332), Gordonia rubropertincta (289), and Rhodococcus erythropolis (3951) capable of growing in 0.5 mM DBT were examined for their desulfurization ability. The presence of dsz genes as well as the metabolites was screened by polymerase chain reaction (PCR) and HPLC, respectively. All these strains showed > 99% DBT desulfurization with 10 days of incubation in minimal salt medium. From the HPLC analysis it was further revealed that these MTCC strains show differences in the end metabolites and desulfurize DBT differently following a variation in the regular 4-S pathway. These findings are also well corroborating with their respective organization of dszABC operons and their relative abundance. The above MTCC strains are capable of desulfurizing DBT efficiently and hence can be explored for biodesulfurization of petrochemicals and coal with an eco-friendly and energy economical process

Standardization of PCR product of <i>dsz</i> genes and 16s rRNA with different annealing temperatures.

<p>The PCR products with different annealing temperature were electrophoresed in agaraose gel against 100 bp DNA ladder.</p