Cyanoacrylate for Intraoral Wound Closure: A Possibility?

Wound closure is a part of any surgical procedure and the objective of laceration repair or incision closure is to approximate the edges of a wound so that natural healing process may occur. Over the years new biomaterials have been discovered as an alternate to conventional suture materials. Cyanoacrylate bioadhesives are one among them. They carry the advantages of rapid application, patient comfort, resistance to infection, hemostatic properties, and no suture removal anxiety. Hence this study was undertaken to study the effect of long chain cyanoacrylate as an adhesive for intraoral wound closure and also to explore its hemostatic and antibacterial effects. Isoamyl-2-cyanoacrylate (AMCRYLATE) was used as the adhesive in the study. In conclusion isoamyl cyanoacrylate can be used for intraoral wound closure, as an alternative to sutures for gluing the mucoperiosteum to bone, for example, after impaction removal, periapical surgeries, and cleft repair. Its hemostatic and antibacterial activity has to be further evaluated

Assessing the burden of Covid-19 in the slums of Bangalore city: Results of Rapid Community Survey

Background: Karnataka, more so Bangalore, reported an increase in number of COVID-19 cases in early April 2021. Objective: To assess the burden of COVID-19 in the slums of Bengaluru city. Materials and Methods: A cross-sectional multi centre community-based study was done in the 2nd and 3rd week of April 2021 in 24 different slums in Bangalore city. WHO cluster random sampling technique was followed. Swabs for RTPCR test and 4 ml of venous blood was collected from 728 subjects more than 18 years of age. Results: A total of 51 (7%) subjects were positive for COVID-19 through RT-PCR. Majority 33 (56.9%) were in the age group of 18-44 years. 148 (20.3%) subjects were sero-positive on blood examination and 18-44 years was the (59.4%) preponderant age group. Overall seropositivity was 20.3% (95%CI; 17.4-23.2) and RT-PCR positivity is 7% (95%CI; 5.2-8.8%) among the subjects surveyed. In the inner core area of Bangalore, seropositivity was 24.2% (95%CI; 21.0 – 27.3) and RT-PCR positivity was 8% (95%CI; 6.1-9.9). Two doses of COVID-19 vaccine were taken only by 1.55% subjects during the study period. Conclusion: The study showed that one in 5 subjects were sero-positive to SARS-CoV-2 and one in 15 individuals had active COVID-19 infection

Worker safety in Designated Microscopy Centers (DMC) and Tuberculosis unit (TU) under Revised National Tuberculosis Control programme (RNTCP) in state of Bihar – Contribution & Role of DTST

Damien Foundation India Trust (DFIT), one of the members of International Federation of Anti-Leprosy associations (ILEP) are involved in providing technical and financial support in leprosy and TB control through its projects spread across the country. While support to leprosy control started way back in 1982 through its own project, support to TB control started only in 2003. This study was part of evaluation taken to assess the role of DTST in achieving the planned objectives and to assess the impact of DFIT’s involvement in TB control. To assess the current status of worker safety in DMC/TUs of RNTCP centers in state of Bihar and the role and contribution of DTST in ensuring the same. This cross sectional evaluation study was undertaken in randomly selected 8 DMCs/ TUs in rural areas of two districts of Bihar state in 2007. Evaluation was done using pre-tested observational checklist and personal discussions with key personnel. Evaluation included assessment of role & contribution of DTST with respect to infrastructure & resource availability; Training and capacity building; Practice regarding safe disposal of infected materials & worker safety. Most of the civil works was complete in functional DMC/ TUs visited. Sharp pits for sharp disposal were available in only 50% of DMCs/TUs. Staffing position complete to nearly 80%. DTST role in capacity building training, infrastructure availably and monitoring of the programme has been remarkable. However there is a need to emphasis on importance of the worker safety and universal precautions during training. Effective implementation of clearly laid down National guidelines & policy keeping in lieu of the worker safety is the need of the hour when the programme gets streamlined in the general health system.  &nbsp

Biosynthesis of Zinc Oxide Nanoparticles Using Leaf Extract of Passiflora subpeltata: Characterization and Antibacterial Activity Against Escherichia coli Isolated from Poultry Faeces

The current study was undertaken to investigate the antibacterial (against molecular characterized E. coli isolated from poultry faeces) potential of biosynthesized zinc oxide nanoparticles (ZnO-NPs) from Passiflora subpeltata Ortega aqueous leaf extract. The biosynthesized nanoparticles were subjected to physico-chemical characterization to study shape, size and purity by UV-Vis spectroscopy, X-Ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS) and Transmission Electron Microscopy (TEM). The molecular identification of isolated E. coli from faeces samples was carried out by using 16-23s rRNA primers. The results of the physico-chemical characterization revealed that the biosynthesized nanoparticles were of 93.7% purity with an average size between 45 and 50 nm. The ZnO-NPs offered significant inhibition against the isolated Gram-negative E. coli with MIC at 62.5 mu g mL(-1) concentration. The antibacterial potential of ZnO NPs against E. coli has also been investigated by the cell viability test, and further the effects of ZnO NPs on bacterial morphological structures was analysed by SEM and TEM

Envisioning a learning surveillance system for tuberculosis.

Surveillance is critical for interrupting transmission of global epidemics. Research has highlighted gaps in the surveillance for tuberculosis that range from failure to collect real-time data to lack of standardization of data for informed decision-making at different levels of the health system. Our research aims to advance conceptual and methodological foundations for the development of a learning surveillance system for Tuberculosis, that involves systematic collection, analysis, interpretation, and feedback of outcome-specific data. It would concurrently involve the health care delivery system, public health laboratory, and epidemiologists. For our study, we systemically framed the cyber environment of TB surveillance as an ontology of the learning surveillance system. We validated the ontology by binary coding of dimensions and elements of the ontology with the metadata from an existing surveillance platform-GPMS TB Transportal. Results show GPMS TB Transportal collects a critical range of data for active case investigation and presumptive case screening for identifying and detecting confirmed TB cases. It is therefore targeted at assisting the Active Case Finding program. Building on the results, we demonstrate enhanced surveillance strategies for GPMS that are enumerated as pathways in the ontology. Our analysis reveals the scope for embedding learning surveillance pathways for digital applications in Direct Benefit Transfer, and Drug Resistance Treatment in National TB Elimination Programme in India. We discuss the possibilities of developing the transportal into a multi-level computer-aided decision support system for TB, using the innumerable pathways encapsulated in the ontology

The burden of active infection and anti-SARS-CoV-2 IgG antibodies in the general population: Results from a statewide sentinel-based population survey in Karnataka, India

Objective: To estimate the burden of active infection and anti-SARS-CoV-2 IgG antibodies in Karnataka, India, and to assess variation across geographical regions and risk groups. Methods: A cross-sectional survey of 16,416 people covering three risk groups was conducted between 3–16 September 2020 using the state of Karnataka’s infrastructure of 290 healthcare facilities across all 30 districts. Participants were further classified into risk subgroups and sampled using stratified sampling. All participants were subjected to simultaneous detection of SARS-CoV-2 IgG using a commercial ELISA kit, SARS-CoV-2 antigen using a rapid antigen detection test (RAT) and reverse transcription-polymerase chain reaction (RT-PCR) for RNA detection. Maximum-likelihood estimation was used for joint estimation of the adjusted IgG, active and total prevalence (either IgG or active or both), while multinomial regression identified predictors. Results: The overall adjusted total prevalence of COVID-19 in Karnataka was 27.7% (95% CI 26.1–29.3), IgG 16.8% (15.5–18.1) and active infection fraction 12.6% (11.5–13.8). The case-to-infection ratio was 1:40 and the infection fatality rate was 0.05%. Influenza-like symptoms or contact with a COVID-19-positive patient were good predictors of active infection. RAT kits had higher sensitivity (68%) in symptomatic people compared with 47% in asymptomatic people. Conclusion: This sentinel-based population survey was the first comprehensive survey in India to provide accurate estimates of the COVID-19 burden. The findings provide a reasonable approximation of the population immunity threshold levels. Using existing surveillance platforms coupled with a syndromic approach and sampling framework enabled this model to be replicable