IL-1α is required for T cell-driven weight loss after respiratory viral infection

Respiratory viral infections remain a major cause of hospitalization and death worldwide. Patients with respiratory infections often lose weight. While acute weight loss is speculated to be a tolerance mechanism to limit pathogen growth, severe weight loss following infection can cause quality of life deterioration. Despite the clinical relevance of respiratory infection-induced weight loss, its mechanism is not yet completely understood. We utilized a model of CD 8+ T cell-driven weight loss during respiratory syncytial virus (RSV) infection to dissect the immune regulation of post-infection weight loss. Supporting previous data, bulk RNA sequencing indicated significant enrichment of the interleukin (IL)-1 signaling pathway after RSV infection. Despite increased viral load, infection-associated weight loss was significantly reduced after IL-1α (but not IL-1β) blockade. IL-1α depletion resulted in a reversal of the gut microbiota changes observed following RSV infection. Direct nasal instillation of IL-1α also caused weight loss. Of note, we detected IL-1α in the brain after either infection or nasal delivery. This was associated with changes in genes controlling appetite after RSV infection and corresponding changes in signaling molecules such as leptin and growth/differentiation factor 15. Together, these findings indicate a lung-brain-gut signaling axis for IL-1α in regulating weight loss after RSV infection.

Evaluation and deployment of a unified MPPT controller for hybrid Luo converter in combined PV and wind energy systems

This work emphasizes the development and examination of a Hybrid Luo Converter integrated with a unified Maximum Power Point Tracking (MPPT) for both grid and independent hybrid systems. The primary objectives of this hybrid system are to efficiently harness power from intermittent and variable renewable sources while elevating low-voltage energy inputs to utility-grade levels. Unlike previous studies employing specific MPPT algorithms for solar and wind sources, this work aims to simplify the control system by utilizing a unified MPPT controller. This research also introduces a novel approach involving dual-lift hybrid Luo converters to create hybrid systems, operating exclusively or concurrently based on the availability of renewable resources. To maximize power generation from all renewable sources, a unified MPPT algorithm is developed. The hybrid system, incorporates 500 W wind and 560 W PV systems, the innovative Luo converter, and the unified MPPT controller. A comprehensive comparative analysis is presented, comparing the hybrid system's performance with that of traditional control algorithms, such as the Perturb & Observe, and Radial Basis Function Network controllers. The successful prototype of the converter validates the practicality of the proposed approach.

Deep Learning Auto-Segmentation Network for Pediatric Computed Tomography Data Sets: Can We Extrapolate From Adults?

PURPOSE

Artificial intelligence (AI)-based auto-segmentation models hold promise for enhanced efficiency and consistency in organ contouring for adaptive radiation therapy and radiation therapy planning. However, their performance on pediatric computed tomography (CT) data and cross-scanner compatibility remain unclear. This study aimed to evaluate the performance of AI-based auto-segmentation models trained on adult CT data when applied to pediatric data sets and explore the improvement in performance gained by including pediatric training data. It also examined their ability to accurately segment CT data acquired from different scanners.

METHODS AND MATERIALS

Using the nnU-Net framework, segmentation models were trained on data sets of adult, pediatric, and combined CT scans for 7 pelvic/thoracic organs. Each model was trained on 290 to 300 cases per category and organ. Training data sets included a combination of clinical data and several open repositories. The study incorporated a database of 459 pediatric (0-16 years) CT scans and 950 adults (>18 years), ensuring all scans had human expert ground-truth contours of the selected organs. Performance was evaluated based on Dice similarity coefficients (DSC) of the model-generated contours.

RESULTS

AI models trained exclusively on adult data underperformed on pediatric data, especially for the 0 to 2 age group: mean DSC was below 0.5 for the bladder and spleen. The addition of pediatric training data demonstrated significant improvement for all age groups, achieving a mean DSC of above 0.85 for all organs in every age group. Larger organs like the liver and kidneys maintained consistent performance for all models across age groups. No significant difference emerged in the cross-scanner performance evaluation, suggesting robust cross-scanner generalization.

CONCLUSIONS

For optimal segmentation across age groups, it is important to include pediatric data in the training of segmentation models. The successful cross-scanner generalization also supports the real-world clinical applicability of these AI models. This study emphasizes the significance of data set diversity in training robust AI systems for medical image interpretation tasks.

Non-tuberculous mycobacterial pulmonary disease (NTM-PD): Epidemiology, diagnosis and multidisciplinary management

Non-tuberculous mycobacteria (NTM) are ubiquitous environmental organisms that can cause significant disease in both immunocompromised and immunocompetent individuals. The incidence of NTM pulmonary disease (NTM-PD) is rising globally. Diagnostic challenges persist and treatment efficacy is variable. This article provides an overview of NTM-PD for clinicians. We discuss how common it is, who is at risk, how it is diagnosed and the multidisciplinary approach to its clinical management.

Concomitant or sequential pulmonary infection with non-tuberculous mycobacteria and Aspergillus

Non-tuberculous mycobacteria (NTM) and Aspergillus are ubiquitous organisms that have the potential to cause significant pulmonary disease in certain clinical contexts. An association is known to exist between NTM and Aspergillus lung infections. However, it is unclear if NTM infection predisposes to Aspergillus infection or vice versa. It is also unclear whether treatment for one results in a favourable ecological niche that facilitates the growth of the other and promotes subsequent clinical disease. An improved understanding of the link between these two pulmonary pathogens is critical to guide improvements in clinical practice, and ultimately, enhance outcomes among patients who are at risk of experiencing these infections, either concomitantly or sequentially. Here, we discuss the association between pulmonary NTM and Aspergillus infections. We address the frequency with which coinfection or sequential infections are reported to occur, predisposing risk factors that have been identified and the impact on clinical outcomes. Current data on the mechanistic links between NTM and Aspergillus lung infections are also considered. The potential implications for routine clinical practice are explored.

Objective assessment of control compared with clinical triple office control score in children with intermittent exotropia

Poor control of intermittent exotropia may be used as an indication for surgery. However, control fluctuates during the day and from day to day. The standardized triple office control score (mean of three scores on a 6-point ordinal scale) is representative of repeated assessments throughout the day, but lacks validation against an objective measure of eye movements. We report the agreement between the triple office control score measured by the referring eyecare professional and lab-measured vergence instability using an EyeLink video eye tracker. Near and distance triple office control scores were moderately correlated with vergence instability. Near, but not distance, triple office control score was moderately correlated with the percentage of time intermittent exotropia was manifest during EyeLink recording. Larger triple office control scores for intermittent exotropia provide a meaningful description of larger vergence instability, supporting its use in clinical decisions and as a measure in clinical trials.

Chest CT features and functional correlates of COVID-19 at 3 months and 12 months follow-up

Long-term pulmonary sequelae of Coronavirus 2019 (COVID-19) remain unclear. Thus, we aimed to establish post-COVID-19 temporal changes in chest computed tomography (CT) features of pulmonary fibrosis and to investigate associations with respiratory symptoms and physiological parameters at 3 and 12 months' follow-up. Adult patients who attended our initial COVID-19 follow-up service and developed chest CT features of interstitial lung disease, in addition to cases identified using British Society of Thoracic Imaging codes, were evaluated retrospectively. Clinical data were gathered on respiratory symptoms and physiological parameters at baseline, 3 months, and 12 months. Corresponding chest CT scans were reviewed by two thoracic radiologists. Associations between CT features and functional correlates were estimated using random effects logistic or linear regression adjusted for age, sex and body mass index. In total, 58 patients were assessed. No changes in reticular pattern, honeycombing, traction bronchiectasis/bronchiolectasis index or pulmonary distortion were observed. Subpleural curvilinear lines were associated with lower odds of breathlessness over time. Parenchymal bands were not associated with breathlessness or impaired lung function overall. Based on our results, we conclude that post-COVID-19 chest CT features of irreversible pulmonary fibrosis remain static over time; other features either resolve or remain unchanged. Subpleural curvilinear lines do not correlate with breathlessness. Parenchymal bands are not functionally significant. An awareness of the different potential functional implications of post-COVID-19 chest CT changes is important in the assessment of patients who present with multi-systemic sequelae of COVID-19 infection.

Balloon dissection versus telescopic dissection during laparoscopic totally extraperitoneal (TEP) inguinal hernia repair: a systematic review, meta-analysis, and trial sequential analysis

OBJECTIVES

To compare the outcomes of balloon dissection and telescopic dissection in patients undergoing laparoscopic totally extraperitoneal (TEP) inguinal hernia repair.

METHODS

A systematic review in accordance with PRISMA statement standards was conducted. A search of electronic information sources was conducted to identify all studies comparing the outcomes of balloon dissection and telescopic dissection in patients undergoing laparoscopic TEP inguinal hernia repair. Random effects modelling was applied to calculate pooled outcome data.

RESULTS

A total of 936 patients from eight studies were included. The included population in both groups were comparable in terms of baseline characteristics. There was no difference between the two techniques in terms of operation time (MD: - 4.14 min, P = 0.05), conversion to another technique (RD: - 0.02, P = 0.29), recurrence (RD: - 0.00, P = 0.84), haematoma (OR: 1.34, P = 0.61), seroma (OR: 0.63, P = 0.56), surgical site infection (RD: 0.00, P = 1.00), urinary retention (OR: 0.92, P = 0.86), postoperative pain score on day 1 (MD: - 0.16, P = 0.69) and day 7 (MD: - 0.16, P = 0.61). Trial sequential analysis of randomised trials suggested that evidence for operative time and conversion to other technique is subject to type 1 and type 2 error.

CONCLUSIONS

Balloon dissection and telescopic dissection during TEP inguinal hernia repair are comparable in terms of operative and postoperative outcomes. The available evidence for operative time and conversion to other technique is subject to type 1 and type 2 error. In presence of comparative clinical outcomes, the cost-effectiveness analysis in future studies may play an important role in determining the dissection technique of choice.

M ycobacterium avium complex genomics and transmission in a London hospital

BACKGROUND

Non-tuberculous mycobacteria (NTM) are environmental microorganisms and opportunistic pathogens in individuals with pre-existing lung conditions such as cystic fibrosis (CF) and non-CF bronchiectasis. While recent studies of Mycobacterium abscessus have identified transmission within single CF centres as well as nationally and globally, transmission of other NTM species is less well studied.

METHODS

To investigate the potential for transmission of the Mycobacterium avium complex (MAC) we sequenced 996 isolates from 354 CF and non-CF patients at the Royal Brompton Hospital (London, UK; collected 2013-2016) and analysed them in a global context. Epidemiological links were identified from patient records. Previously published genomes were used to characterise global population structures.

RESULTS

We identified putative transmission clusters in three MAC species, although few epidemiological links could be identified. For M. avium, lineages were largely limited to single countries, while for Mycobacterium chimaera, global transmission clusters previously associated with heater-cooler units (HCUs) were found. However, the immediate ancestor of the lineage causing the major HCU-associated outbreak was a lineage already circulating in patients.

CONCLUSIONS

CF and non-CF patients shared transmission chains, although the lack of epidemiological links suggested that most transmission is indirect and may involve environmental intermediates or asymptomatic carriage in the wider population.

Synthesis and upconversion emission studies of CaYF5:Ho3+/Yb3+ phosphor and its applications in optical thermometry, fingerprint detection, and security ink†

In this work, a CaYF₅:Ho³⁺/Yb³⁺ upconversion phosphor was synthesized and its structural, morphological, and optical properties were studied. The upconversion emission study was performed at an excitation pump power density of 5 W cm⁻² and emissions at 544 nm, 650 nm and 747 nm due to the ⁵F₄(⁵S₂) → ⁵I₈, ⁵F₅ → ⁵I₈ and ⁵F₄(⁵S₂) → ⁵I₇ transitions of the Ho³⁺ ion, respectively were observed. From temperature-dependent upconversion spectra temperature sensitivity was calculated and sensitivity is found to be 14 × 10⁻³ K⁻¹ for the synthesized upconversion phosphor. The photothermal conversion efficiency of the prepared sample in ethanol medium was tested. Moreover, the sample was used to develop latent fingerprints on various surfaces and good contrast in recorded images is observed. The invisible ink was prepared using the upconversion phosphor and then written words were recorded in upconversion emission mode.

In this work, a CaYF₅:Ho³⁺/Yb³⁺ upconversion phosphor was synthesized and its structural, morphological, and optical properties were studied. Apart from these studies, latent fingerprint detection and security ink applications were also demonstrated using this phosphor.

Isolated bilateral lateral geniculate body necrosis following acute pancreatitis: A rare cause of bilateral loss of vision in a young female

Sudden bilateral visual loss because of bilateral lateral geniculate body (LGB) necrosis is a very rare entity. The mechanisms causing these isolated lesions have still not been fully understood. We report a case of sudden loss of vision in a 22-year-old female following an attack of acute pancreatitis, just after starting the paleo diet. Neuroimaging revealed bilateral LGB necrosis. Multidisciplinary approach was sought and she was subsequently managed successfully. On follow-up, her visual acuity showed improvement, and neuroimaging revealed resolution of hyperintensities in bilateral LGB with residual blooming suggestive of old hemorrhagic gliosis. The possible reasons for isolated lesions of the LGB are hemorrhagic infarction and osmotic demyelination. In the present case, we postulate a vascular pathology, possibly hypo-perfusion because of shock following acute pancreatitis.

Recovering from COVID-19: lessons learnt from an intensive secondary care follow-up service

In response to the first COVID-19 surge in 2020, secondary care outpatient services were rapidly reconfigured to provide specialist review for disease sequelae. At our institution, comprising hospitals across three sites in London, we initially implemented a COVID-19 follow-up pathway that was in line with expert opinion at the time but more intensive than initial clinical guidelines suggested. We retrospectively evaluated the resource requirements for this service, which supported 526 patients from April 2020 to October 2020. At the 6-week review, 193/403 (47.9%) patients reported persistent breathlessness, 46/336 (13.7%) desaturated on exercise testing, 167/403 (41.4%) were discharged from COVID-19-related secondary care services and 190/403 (47.1%) needed 12-week follow-up. At the 12-week review, 113/309 (36.6%) patients reported persistent breathlessness, 30/266 (11.3%) desaturated on exercise testing and 150/309 (48.5%) were discharged from COVID-19-related secondary care services. Referrals were generated to multiple medical specialties, particularly respiratory subspecialties. Our analysis allowed us to justify rationalising and streamlining provisions for subsequent COVID-19 waves while reassured that opportunities for early intervention were not being missed.

IGRA screening in biologics: safe and reliable, but not perfect

Introduction

Systemic biologic agents can increase the risk of reactivation of latent tuberculosis (TB). Prior to initiation, screening for latent TB using an interferon-γ (IFN-γ) release assay (IGRA) is recommended. There is concern that false negative IGRAs may be more likely in this context.

Methods

This retrospective analysis of IGRA, specifically TSPOT.TB, results and outcomes of patients already on or due to start biologics identifies the rate of TB reactivation in a low TB incidence setting. Additionally, we estimate the negative predictive value (NPV) of IGRAs in this population.

Results

Patients on biologics were more likely to have a negative IGRA result than patients not on biologics. There was no statistically significant change in conversion or reversion rates between groups. Of 9263 patients on biologics, 19 developed active TB after starting biologics at an incidence of 55.1 per 100 000 patient years. This occurred despite screening in half of the 16 patients for whom we were able to review medical records. Most drugs implicated were known to be high risk, although rituximab and natalizumab were being taken by 5 patients and 1 patient respectively. The TSPOT.TB NPV was 99.20% and dropped only slightly to 99.17% when we simulated an approach where all borderline IGRA results were regarded as being negative.

Conclusion

Negative IGRA results confer a low risk of subsequent active TB in patients on biologics in a low incidence setting. However, continued awareness is needed given that a number of active TB cases will have had a prior negative result.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

POS0565 WORSE OUTCOMES LINKED TO ETHNICITY FOR EARLY INFLAMMATORY ARTHRITIS IN ENGLAND AND WALES: A NATIONAL COHORT STUDY

Background

Patients from ethnic minority backgrounds suffer considerable health inequality, with generally poorer health outcomes relative to the rest of the population.1 Further exploration of these differences is essential if we are to deliver the best care for all, and close the health gap for our patients.

Objectives

We used the National Early Inflammatory Arthritis Audit (NEIAA) to assess variability in care quality and treatment outcomes across ethnicities for patients diagnosed with early inflammatory arthritis (EIA) in England and Wales.

Methods

NEIAA is an observational cohort design. Data were from adult patients newly diagnosed with EIA, and seen by rheumatology in England and Wales between May 2018 and March 2020. Quality of care outcomes were assessed against six metrics contained within the National Institute for Health and Clinical Excellence (NICE) Quality Standard for Rheumatoid Arthritis.2 Clinical outcomes were measured using DAS28. Outcomes were compared between ethnic groups (White, Black, Asian, Mixed, Other), and adjusted for confounders (age, sex, smoking, comorbidity, seropositivity and disease severity at presentation) using Logistic regression models with multiple imputation for missing data.

Results

Data for 35,807 eligible patients were analysed, of whom 30,643 (85.6%) were White and 5,164 (14.6%) were from ethnic minority backgrounds: 1,035 (2.8%) Black; 2,617 (7.3%) Asian; 238 (0.6%) Mixed; 1,274 (3.5%) Other. A total of 12,955 patients had confirmed EIA. Of those, 11,315 were White and 1,640 were from ethnic minority backgrounds: 314 (2.4%) Black; 927 (7.1%) Asian; 70 (0.5%) Mixed; 329 (2.5%) Other.

Of 35,160 eligible patients who had data available, 14,803 (42.1%) were assessed by rheumatology within three weeks of referral. Of 9,900 EIA-eligible patients with data available, 5,642 (57.0%) started treatment within six weeks of referral. There were no significant differences in these outcomes by ethnicity. Ethnic minority patients did, however, have lower odds of disease remission at three months, relative to patients of White ethnicity (adjusted odds ratio 0.79; 95% CI: 0.65-0.96; p=0.02). This difference was due to lower odds of disease remission in Black and Asian patients, relative to White patients (Table 1). Ethnic minority patients were significantly less likely to receive initial treatment with methotrexate (0.68; 95% CI: 0.52-0.90; p=0.008) or with glucocorticoids (0.63, 95% CI: 0.49-0.80; p< 0.001).

Table 1.

Associations between ethnicity and disease remission at three months in EIA patients

ModelOdds ratio95% CIP-valueUnadjustedAll ethnic minority0.76(0.62,0.93)0.01backgroundsBlack0.48(0.34,0.67)<0.001Asian0.74(0.59,0.93)0.01Mixed0.61(0.28,1.35)0.22Other1.09(0.71,1.68)0.67Age and sex-adjustedAll ethnic minority0.78(0.63,0.96)0.01backgroundsBlack0.49(0.35,0.69)0.00Asian0.75(0.60,0.94)0.01Mixed0.63(0.28,1.39)0.25Other1.11(0.71,1.71)0.63Fully-adjustedAll ethnic minority0.79(0.65,0.96)0.02backgroundsBlack0.57(0.41,0.79)0.001Asian0.76(0.62,0.93)0.009Mixed0.63(0.27,1.46)0.29Other1.04(0.71,1.54)0.80

Conclusion

The results from this large cohort demonstrate that some minority ethnic groups are less likely to reach disease remission in the early months following an EIA diagnosis. Our results are not explained by delays in referral or treatment. Intitial treatment strategies varied across ethnic groups. These data highlight the need for investigation into the possible drivers of these inequitable outcomes and reappraisal of EIA management pathways.

References

[1]Greenberg JD, Spruill TM, Shan Y, Reed G, Kremer JM, Potter J, et al. Racial and ethnic disparities in disease activity in patients with rheumatoid arthritis. Am J Med. 2013;126(12):1089-98.

[2]NICE quality standard for rheumatoid arthritis in over 16s. Nice.org.uk. 2013 [cited 25 January 2022]. Available from: https://www.nice.org.uk/guidance/qs33/documents/previous-version-of-quality-standard.

Disclosure of Interests

Maryam Adas: None declared, Sathiyaa Balachandran: None declared, Sam Norton: None declared, Edward Alveyn: None declared, Mark Russell Speakers bureau: Has received speaker fees and educational grants from Janssen, Lilly, Menarini, Pfizer and UCB, Tom Esterine Speakers bureau: Patient review of P.I.S and consent form into lay language for KCL that was linked to Pharma company., Paul Amlani-Hatcher: None declared, Sarah Oyebanjo: None declared, Heidi Lempp: None declared, Jo Ledingham: None declared, Kanta Kumar Speakers bureau: Has received training form Pfizer and speaker fees 2021 from Janssen., Paid instructor for: Has received training form Pfizer, James Galloway Speakers bureau: Has received honoraria from AbbVie, Celgene, Chugai, Gilead, Janssen, Eli Lilly, Pfizer, Roche and UCB., Shirish Dubey: None declared.

British Thoracic Society survey of the career intentions of respiratory medicine specialty trainees in the UK

There were respiratory consultant post vacancies in 82% of surveyed UK hospitals in 2021. Understanding respiratory trainees' career intentions is vital to plan and train a future respiratory workforce. In 2020, the British Thoracic Society surveyed trainee members (n=144) to assess career plans and perceived barriers and facilitators when applying for consultant posts. Most trainees (79, 55.6%) report intending to pursue UK-based posts with general internal medicine responsibilities. Consultant applications are influenced by location, hospital type, previous local experience and availability of subspecialty posts. Insufficient guidance is available regarding consultant applications.

Air pollution prediction with machine learning: a case study of Indian cities

The survival of mankind cannot be imagined without air. Consistent developments in almost all realms of modern human society affected the health of the air adversely. Daily industrial, transport, and domestic activities are stirring hazardous pollutants in our environment. Monitoring and predicting air quality have become essentially important in this era, especially in developing countries like India. In contrast to the traditional methods, the prediction technologies based on machine learning techniques are proved to be the most efficient tools to study such modern hazards. The present work investigates six years of air pollution data from 23 Indian cities for air quality analysis and prediction. The dataset is well preprocessed and key features are selected through the correlation analysis. An exploratory data analysis is exercised to develop insights into various hidden patterns in the dataset and pollutants directly affecting the air quality index are identified. A significant fall in almost all pollutants is observed in the pandemic year, 2020. The data imbalance problem is solved with a resampling technique and five machine learning models are employed to predict air quality. The results of these models are compared with the standard metrics. The Gaussian Naive Bayes model achieves the highest accuracy while the Support Vector Machine model exhibits the lowest accuracy. The performances of these models are evaluated and compared through established performance parameters. The XGBoost model performed the best among the other models and gets the highest linearity between the predicted and actual data.

An Overview of Vehicular Emission Standards

In India, the ambient air quality has been degrading from past few decades especially in urban areas. Vehicular emissions are amongst one of the major reasons for the deterioration of ambient air quality in such areas. This article is an effort to review the vehicular emission standards of the major countries (USA, Europe, Japan and Australia) and compare with Indian emission standards. However, there exists several differences in present emission standards followed by different countries. For instance, emission standards in USA are fuel neutral, while no separate weight categorization exists among light-duty vehicles (LDVs). In Europe, Japan, Australia and India, separate weight categorization and emission limits for both petrol and diesel vehicles are provided. It was observed that different driving test cycles used by different countries are the reasons for numerical differences in vehicular emission standards. To rectify this, a worldwide harmonized test cycle (WHTC) is introduced by United Nations Economic Committee for Europe (UNECE) that would represent real-world driving and verifies that the statutory emission limits are not exceeded during actual driving. Countries like Japan and Europe have already been following the WHTC, while some other countries may introduce the same in near future. Yet the real-world emissions across the world keeps on diverging. In such situation, harmonization of vehicle emission standards worldwide is a bit challenging, based on dynamics of road conditions, driving patterns, environmental conditions, etc. Thus, more concerted research is needed for evolution of a common universal emission standards implementable worldwide so that the uniformity in information and policies available to the common public could be maintained.

Educational opportunities for postgraduate medical trainees during the COVID-19 pandemic: deriving value from old, new and emerging ways of learning

The COVID-19 pandemic has had a significant impact on postgraduate medical training across all specialties. Although some traditional learning opportunities have been curtailed, there have been numerous examples of highly valuable educational experiences that have arisen during this time. Here, from a trainee perspective, we consider the educational merits of the re-emergence of 'firm-based' teams, new online learning opportunities, use of digital technologies and the rise of telephone clinics and new COVID-19 clinical services. As health services continue to recover from surges in COVID-19 cases, it is important to reflect on and recognise the value of these educational experiences so that helpful elements can be retained and embedded into training programmes for the benefit of both trainees and patients.

Instruction strategies for drug calculation skills: A systematic review of the literature

BACKGROUND

Medication errors and unsafe medication practices are a leading cause of injury and avoidable harm worldwide.

OBJECTIVES

The aim of this review was to (i) explore and identify evidence-based strategies to teach medication calculation skills by determining the most common errors and assess the quality, level, and role of the evidence, and (ii) describe instruction strategies for drug calculation skills development or improvement based on seven research-based principles for smart teaching.

DESIGN

Systematic review.

DATA SOURCES

CINAHL, PubMed, and PsycINFO.

REVIEW METHODS

The review followed Whittemore and Knafl's framework steps with an assessment of the studies reporting using PRISMA, STROBE, COREQ and categorizing their methods by evidence hierarchy and roles. Two authors independently assessed eligibility and extracted data.

RESULTS

From the total 1793 articles, 51 studies met the eligibility criteria. The studies included 9210 nursing students/nurses and mainly used a quantitative approach (67.5%), followed by qualitative (22.5%) and mixed methods (10.0%), with the students/nurses doing arithmetic and conceptual mistakes. The findings presented were low levels of evidence III (23.5%) and V (41.2%), quality Level B (82.4%), and 47.1% focused on choosing the appropriate teaching and intervention approaches (role of the evidence). The teaching strategies addressed multiple smart teaching principles, but mainly prior knowledge (principle 1, 39.2%). The least used strategies were those addressing the levers that influence motivation and behaviors such as value, expectations, and environment climate (principle 3, 13.7%). Two studies addressed five principles simultaneously.

CONCLUSIONS

Regarding teaching strategies, the most recurring strategies were early diagnostic assessments on knowledge, anxiety and/or self-confidence, considering knowledge organization with scaffolding complex tasks, being explicit about objectives and expectations, and usage of e-learning. However, e-learning was mainly used after 2018. Considering the low levels and quality of evidence, we recommend higher levels of research design for future research. Randomized Controlled Trials could be conducted when randomizing teaching methods per semester or questions embedded in software. Web-base software could be used to support teaching and research approaches.

Management of Mycobacterium avium complex and Mycobacterium abscessus pulmonary disease: therapeutic advances and emerging treatments

Nontuberculous mycobacterial pulmonary disease (NTM-PD) remains a challenging condition to diagnose and treat effectively. Treatment of NTM-PD is prolonged, frequently associated with adverse effects and has variable success. In this review, we consider the factors influencing clinicians when treating NTM-PD and discuss outcomes from key studies on the pharmacological management of Mycobacterium avium complex pulmonary disease and M. abscessus pulmonary disease. We highlight issues relating to treatment-related toxicity and provide an overview of repurposed and emerging therapies for NTM-PD.

Nontuberculous Mycobacterial Pulmonary Disease: Clinical Epidemiologic Features, Risk Factors, and Diagnosis: The Nontuberculous Mycobacterial Series

Nontuberculous mycobacterial pulmonary disease (NTM-PD) continues to impose a significant clinical burden of disease on susceptible patients. The incidence of NTM-PD is rising globally, but it remains a condition that is challenging to diagnose and treat effectively. This review provides an update on the global epidemiologic features, risk factors, and diagnostic considerations associated with the management of NTM-PD.

Comparative Evaluation of Microleakage of Three Different Restorative Materials (Cention N, Zirconomer Improved and Glass Hybrid Restorative System) in Class V Cavity Restoration Using Stereomicroscope: In vitro Study

Aim and Objective: Microleakage is the most important factor responsible for the destruction of restoration margins. The aim of this study was to compare and evaluate the microleakage of three different restorative materials namely glass hybrid restorative system, zirconomer improved and Cention N under stereomicroscope. Materials and Methods: In this in-vitro experimental study, 45 Class V cavities were prepared on the buccal surface of maxillary premolars. The prepared cavities were divided into three groups for restoration with Cention N(group I), Zirconomer Improved(group II), Equiaforte (group III). All the samples were thermocycled for 500 cycles between 5-55°C initially and then immersed in 0.5% methylene blue for 24 hours before sectioning. All the sectioned samples were observed for microleakage under a stereomicroscope. Results: Data was analyzed using one way ANOVA test for comparison between three groups and the result revealed statistically significant difference between the groups(p<0.05). Post hoc Tukey test was used for intergroup comparison and it was observed that both Cention and Equiaforte are inferior to Zirconomer improved in terms of microleakage (p<0.05). Conclusion: Zirconomer improved exhibited lower microleakage when compared to Cention N and Equiaforte cements.

Synthesis of NaYF4:Ho3+/Yb3+ colloidal upconversion phosphor and its application for OCT-based imaging, temperature sensing, fingerprinting and security ink

In this work, an NaYF4:Ho3+/Yb3+ upconversion phosphor in colloidal form was synthesized and then its suitability for image contrast enhancement in optical coherence tomography (OCT) and photothermal (PT) OCT imaging was analysed.

Diagnosis and management of non-cystic fibrosis bronchiectasis

Bronchiectasis is a heterogeneous and increasingly prevalent chronic pulmonary disease that is associated with significant morbidity. In this review, we outline how patients with bronchiectasis may present clinically and describe an approach to its diagnosis, including how to identify an underlying aetiology. We discuss the important considerations when treating either acute exacerbations or stable disease and provide an overview of the role of long-term antimicrobials, airway clearance methods and other supportive management.

Personalised Medicine for Tuberculosis and Non-Tuberculous Mycobacterial Pulmonary Disease

Personalised medicine, in which clinical management is individualised to the genotypic and phenotypic data of patients, offers a promising means by which to enhance outcomes in the management of mycobacterial pulmonary infections. In this review, we provide an overview of how personalised medicine approaches may be utilised to identify patients at risk of developing tuberculosis (TB) or non-tuberculous mycobacterial pulmonary disease (NTM-PD), diagnose these conditions and guide effective treatment strategies. Despite recent technological and therapeutic advances, TB and NTM-PD remain challenging conditions to diagnose and treat. Studies have identified a range of genetic and immune factors that predispose patients to pulmonary mycobacterial infections. Molecular tests such as nucleic acid amplification assays and next generation sequencing provide a rapid means by which to identify mycobacterial isolates and their antibiotic resistance profiles, thus guiding selection of appropriate antimicrobials. Host-directed therapies and therapeutic drug monitoring offer ways of tailoring management to the clinical needs of patients at an individualised level. Biomarkers may hold promise in differentiating between latent and active TB, as well as in predicting mycobacterial disease progression and response to treatment.

Monitoring of Chemical Markers in Extraction of Traditional Medicinal Plants (Piper nigrum, Curcuma longa) Using In Situ ReactIR

BACKGROUND

The fingerprinting and quantification of marker compounds from medicinal plants is a domain of the herbal industry for quality/quantity control parameters.

OBJECTIVE

The main objective of this study is the application of the in situ ReactIR technique for measuring the concentration of different components during the extraction process of different medicinal plants.

METHOD

In this study we have performed the extraction of two-marker compounds, viz. piperine from Piper nigrum and curcumin from Curcuma longa plants, using various solvents (dichloromethane and methanol). The progress of extraction was monitored using an in situ Fourier transform infrared (FTIR) probe instrument and an automated reactor.

RESULTS

In this communication, using the in situ ReactIR technique we developed a method which demonstrates the relative quantification of marker analytes, optimizes extraction time and type of solvents to be used for different analytes during the extraction process.

CONCLUSIONS

To the best of our knowledge, this is the first report of relative quantification and structural information of marker compounds during the process of extraction using in situ FTIR.

HIGHLIGHTS

The present study highlights the real-time monitoring, in situ quantification, and structural information of marker compounds during the process of extraction of medicinal plants using in situ FTIR.

O-172 Metabolic imaging of cumulus cells to predict embryo implantation potential

Study question

Can non-invasive metabolic imaging detect variations in cumulus cell metabolic parameters associated with a viable pregnancy of the corresponding embryo?

Summary answer

Noninvasive metabolic imaging can detect differences in the cumulus cell metabolic signatures between embryos that led to a viable pregnancy and those that did not. 

What is known already

Bidirectional metabolic cooperativity between the human oocyte and its surrounding cumulus cells is essential for the oocyte to acquire full developmental competency. However, the relationship between cumulus cell metabolism and oocyte viability is not well established. Metabolic imaging uses Fluorescence Lifetime Imaging Microscopy (FLIM) to non-invasively measure autofluorescence of the endogenous molecules, NADH and FAD+, which are essential coenzymes for cellular respiration and glycolysis. This technique enables quantitative information for these coenzyme concentrations and regarding metabolite enzyme engagement. We have previously shown that this technique is an effective tool for quantitatively measuring metabolic state of mouse embryos.

Study design, size, duration

Cumulus cell clusters (n = 617 from 193 patients) were dissected from cumulus-oocyte complexes prior to insemination or ICSI, vitrified, warmed and their metabolic function assessed. We conducted a prospective observational study to evaluate to what extent cumulus cells from an oocyte that led to a viable pregnancy (presence of a viable fetus &gt;7 weeks gestation) after transfer of the corresponding embryo metabolically differed from those that did not. We also evaluated the associations with embryo morphology.

Participants/materials, setting, methods

Cumulus cell metabolism was assessed non-invasively using FLIM to measure the autofluorescence of NADH and FAD+. Overall a single FLIM measurement provides a total of 8 metabolic parameters (4 for NADH and 4 for FAD+). An additional parameter, the Redox Ratio was also acquired (NADH intensity / FAD+ intensity). We used multilevel models to investigate the association of cumulus cell metabolic parameters with the morphology of the corresponding embryo and clinical outcome.

Main results and the role of chance

Of the cumulus samples analyzed, 75 corresponded to embryos that did not result in a viable pregnancy, and 24 that did so. Significant associations were observed between cumulus cell FAD+ fraction bound to enzyme (p = 0.007), FAD+ long lifetime (p = 0.01) and FAD+ short lifetime (p &lt; 0.001) and the clinical outcome of the corresponding embryo. These significant associations held up after controlling for age. We used a support vector machine algorithm to distinguish between embryos that led to a viable pregnancy and those that did not. The optimum hyperplane derived from a support vector machine algorithm predicted whether a sample with random cumulus cell metabolic parameters will lead to a viable pregnancy or not with an accuracy of 80%. Embryo morphological assessments were stratified as excellent, good, fair and poor. We found no significant associations between cumulus cell metabolic signatures and embryo morphology evaluated on day 3. Significant associations of FAD+ short lifetime (p &lt; 0.001) and day 5 embryo morphology were found. However, these associations were not significant after controlling for age. 

Limitations, reasons for caution

Although we observed significant variations in metabolic parameters, further studies with larger sample sizes are required. Despite our validation studies showing no significant effect of vitrification on cumulus cell metabolic parameters, analyses with fresh clusters are needed to confirm our results.

Wider implications of the findings

Noninvasive FLIM imaging detects metabolic variations of cumulus masses and their association with embryo viability. The ability to correlate metabolic measurements of cumulus clusters, in combination with embryo morphology assessments and patient clinical characteristics, with embryo fate paves the way for this approach to be used in a clinical setting.

Trial registration number

5RO1HD092559-03

A validation framework to assess performance of commercial deformable image registration in lung radiotherapy

INTRODUCTION

Deformable image registration (DIR) can play an important role in the context of adaptive radiotherapy. The AAPM Task Group 132 (TG-132) has described several quantitative measures for DIR error assessment but they can only be accurately defined when there is a ground-truth present in high-contrast regions. This work aims to set out a framework to obtain optimal results for CT-CT lung DIR in clinical setting for a commercially available system by quantifying the DIR performance in both low- and high-contrast regions.

METHODS

Five publicly available thorax datasets were used to assess the DIR quality. A "Ghost fiducial" method was implemented by windowing the contrast in a new feature provided by Varian Velocity v4.1. Target registration error (TRE) of the landmarks and Dice-similarity coefficient of the tumour were calculated at three different contrast settings to assess the algorithm in high- and low-contrast scenarios.

RESULTS

For the original unedited dataset, higher resolution DIR methods showed best performance acceptable within the recommended limit according to TG-132, when actual displacements were less than 10 mm. The relation of the actual displacement of the landmarks and TRE shows the limited capacity of the algorithm to deal with movements larger than 10 mm.

CONCLUSION

This work found the performance of DIR methods and settings available in Varian Velocity v4.1 to be a function of contrast level as well as extent of motion. This highlights the need for multiple metrics to assess different aspects of DIR performance for various applications related to low-contrast and/or high-contrast regions.

Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance

BACKGROUND

Troponin elevation is common in hospitalized COVID-19 patients, but underlying aetiologies are ill-defined. We used multi-parametric cardiovascular magnetic resonance (CMR) to assess myocardial injury in recovered COVID-19 patients.

METHODS AND RESULTS

One hundred and forty-eight patients (64 ± 12 years, 70% male) with severe COVID-19 infection [all requiring hospital admission, 48 (32%) requiring ventilatory support] and troponin elevation discharged from six hospitals underwent convalescent CMR (including adenosine stress perfusion if indicated) at median 68 days. Left ventricular (LV) function was normal in 89% (ejection fraction 67% ± 11%). Late gadolinium enhancement and/or ischaemia was found in 54% (80/148). This comprised myocarditis-like scar in 26% (39/148), infarction and/or ischaemia in 22% (32/148) and dual pathology in 6% (9/148). Myocarditis-like injury was limited to three or less myocardial segments in 88% (35/40) of cases with no associated LV dysfunction; of these, 30% had active myocarditis. Myocardial infarction was found in 19% (28/148) and inducible ischaemia in 26% (20/76) of those undergoing stress perfusion (including 7 with both infarction and ischaemia). Of patients with ischaemic injury pattern, 66% (27/41) had no past history of coronary disease. There was no evidence of diffuse fibrosis or oedema in the remote myocardium (T1: COVID-19 patients 1033 ± 41 ms vs. matched controls 1028 ± 35 ms; T2: COVID-19 46 ± 3 ms vs. matched controls 47 ± 3 ms).

CONCLUSIONS

During convalescence after severe COVID-19 infection with troponin elevation, myocarditis-like injury can be encountered, with limited extent and minimal functional consequence. In a proportion of patients, there is evidence of possible ongoing localized inflammation. A quarter of patients had ischaemic heart disease, of which two-thirds had no previous history. Whether these observed findings represent pre-existing clinically silent disease or de novo COVID-19-related changes remain undetermined. Diffuse oedema or fibrosis was not detected.

Endophyte roles in nutrient acquisition, root system architecture development and oxidative stress tolerance

Plants associate with communities of microbes (bacteria and fungi) that play critical roles in plant development, nutrient acquisition and oxidative stress tolerance. The major share of plant microbiota is endophytes which inhabit plant tissues and help them in various capacities. In this article, we have reviewed what is presently known with regard to how endophytic microbes interact with plants to modulate root development, branching, root hair formation and their implications in overall plant development. Endophytic microbes link the interactions of plants, rhizospheric microbes and soil to promote nutrient solubilization and further vectoring these nutrients to the plant roots making the soil-plant-microbe continuum. Further, plant roots internalize microbes and oxidatively extract nutrients from microbes in the rhizophagy cycle. The oxidative interactions between endophytes and plants result in the acquisition of nutrients by plants and are also instrumental in oxidative stress tolerance of plants. It is evident that plants actively cultivate microbes internally, on surfaces and in soils to acquire nutrients, modulate development and improve health. Understanding this continuum could be of greater significance in connecting endophytes with the hidden half of the plant that can also be harnessed in applied terms to enhance nutrient acquisition through the development of favourable root system architecture for sustainable production under stress conditions.

Bioresorbable polymer and durable polymer metallic stents in coronary artery disease: a meta-analysis

BACKGROUND

Literature on bioresorbable-polymer-stents (BPS) and second-generation durable-polymer-stents (DPS) in percutaneous coronary intervention (PCI) for all comer CAD is conflicting.

METHODS

Randomized controlled studies comparing PCI among BPS and second-generation DPS were identified up until May-2020 from online databases.  Primary outcomes included are all-cause myocardial infarction (MI), cardiac-death, target-vessel-revascularization (TVR), target-vessel MI (TVMI), and stent-thrombosis (ST). Random effect method of risk ratio and confidence interval of 95% was used.

RESULTS

25 prospective randomized controlled trials with 31,822 patients (BPS n = 17,065 and DPS n = 14,757) were included in the study. Follow-up ranged between a minimum of 6 months to more than 5 years. Cardiac death (RR 1.02, 95% CI 0.89-1.45, p = 0.16) was comparable in BPS and second-generation DPS. Risk of all-cause MI was similar between BPS and DPS (RR 0.97, 95% CI 0.84-1.11, p = 0.73). TVMI (RR 0.88, 95% CI 0.69-1.11, p = 0.33) and ST rates were also comparable in BPS and DPS groups (RR 1.06, 95% CI 0.80-1.40, p = 1.00). Overall TVR had comparable outcomes between BPS and DPS (RR 0.95, 95% CI 0.79-1.14, p < 0.001); however, higher TVR was seen among BPS group at follow-up of ≥5 years (RR 1.39, 95% CI 1.12-1.14, p = 0.02). Bias was low and heterogeneity was moderate.

CONCLUSION

Patients undergoing PCI treated with BPS had comparable outcomes in terms of cardiac death, TVR, ST, TVMI, and all-cause MI to patients treated with second-generation DPS; however, BPS had higher rates of TVR for follow-up of ≥5-years.

Symptomatic, biochemical and radiographic recovery in patients with COVID-19

Background

The symptoms, radiography, biochemistry and healthcare utilisation of patients with COVID-19 following discharge from hospital have not been well described.

Methods

Retrospective analysis of 401 adult patients attending a clinic following an index hospital admission or emergency department attendance with COVID-19. Regression models were used to assess the association between characteristics and persistent abnormal chest radiographs or breathlessness.

Results

75.1% of patients were symptomatic at a median of 53 days post discharge and 72 days after symptom onset and chest radiographs were abnormal in 47.4%. Symptoms and radiographic abnormalities were similar in PCR-positive and PCR-negative patients. Severity of COVID-19 was significantly associated with persistent radiographic abnormalities and breathlessness. 18.5% of patients had unscheduled healthcare visits in the 30 days post discharge.

Conclusions

Patients with COVID-19 experience persistent symptoms and abnormal blood biomarkers with a gradual resolution of radiological abnormalities over time. These findings can inform patients and clinicians about expected recovery times and plan services for follow-up of patients with COVID-19.

Post-PCI outcomes in STEMI patients with coronary ectasia: meta-analysis

BACKGROUND

Coronary ectasia (CE) is defined as dilation of the coronary artery, 1.5 times that of the surrounding vessel. Outcomes of percutaneous intervention (PCI) in patients with CE presenting as ST-elevated myocardial infarction (STEMI) remain a topic of debate.

METHODS

Studies comparing outcomes of PCI in CE versus no-ectasia (NE) STEMI patients were identified. Baseline angiographic characteristics include thrombolysis in myocardial infarction (TIMI) 0-1 flow, right coronary artery (RCA) involvement, and primary outcomes including thrombus aspiration, no-reflow, mortality, and TIMI-3 post-PCI. Odds ratio (OR) and 95% confidence interval (CI) were calculated.

RESULTS

Six studies (n = 5746, CE-340 and NE-5406) qualified for the analysis. RCA involvement was more common in CE than NE, OR-1.39 (95%CI1.06-1.82, p-0.02). Pre-procedure TIMI-0-1 was of comparable results between the groups (p-1.13). Higher thrombus aspiration for CE (OR 2.18, 95%CI1.44-3.32;p-<0.001). CE had higher incidence of no-reflow (OR 4.07, 95%CI2.42-6.84;p-<0.001). TIMI-3 flow post-PCI was achieved less commonly in the CE group (OR-0.64, 95%CI-0.48-0.86;p-<0.001). Mortality on follow-up was comparable (0.83, 95%CI0.39-1.78;p-0.63). Metaregression analysis did not show confounding effects from comorbidities.

CONCLUSION

Coronary ectasia patients with STEMI had higher rates of PCI failure and no-reflow than NE; however, mortality during follow-up was comparable.

Expression and functional role of IGFs during early pregnancy in placenta of water buffalo

Adequate vascularisation is a key factor for successful fetal development. We hypothesized that Insulin-Like Growth Factor (IGF) family members regulate angiogenesis along with promoting fetal development and growth. In this experiment, we determined the expression and functional role of IGF family in placental compartments (caruncle; CAR, cotyledon; COT) during different stages of early pregnancy in the water buffalo (Bubalus bubalis). Samples were collected from early pregnancy 1 (EP1, 28-45 days), early pregnancy 2 (EP2, 45-90 days), and third stage of estrous cycle (11-16 days), which was taken as control. In addition, the role of IGF1 on mRNA expression of vWF, StAR, CYP11A1, 3βHSD, PCNA, and BAX were elucidated in cultured trophoblast cells (TCC) obtained from EP2. Quantitative real-time PCR (q-PCR), westernblot, and immunohistochemistry were done to investigate the gene expression, protein expression, and localization of examined factors, and RIA was also done to assess progesterone (P₄) concentration. Expression of IGFs, its receptors and binding proteins were found to be significantly higher (p < 0.05) in both CAR and COT as compared to control during early pregnancy, except binding proteins IGFBP1, 3 and 4 which were significantly (p < 0.05) downregulated in COT with advancement of pregnancy. mRNA expression was consistent with the findings of immunoblotting and immunolocalization experiments. Trophoblasts cell culture (TCC) study showed a significant time and dose-dependent effect of IGF1 onsteroidogenic transcript, which was found to be maximum at 100 ng/ml that paralleled with P₄ accretion in the media (p < 0.05). Further, IGF1 upregulated the transcripts of vWF, PCNA, and downregulated BAX at the same concentration (p < 0.05). Overall, our results demonstrated that the expression of IGFs is a site-specific phenomenon in placentome, which indicates autocrine/paracrine and endocrine function. Our in-vitro finding support that IGF1 plays a critical role in placental development by promoting angiogenesis, steroid synthesis, and cell proliferation during early pregnancy.

An efficient algorithm to detect DDoS amplification attacks

Domain name system (DNS) plays a critical part in the functioning of the Internet. But since DNS queries are sent using UDP, it is vulnerable to Distributed Denial of Service (DDoS) attacks. The attacker can take advantage of this and spoof the source IP address and direct the response towards the victim network. And since the network does not keep track of the number of requests going out and responses coming in, the attacker can flood the network with these unwanted DNS responses. Along with DNS, other protocols are also exploited to perform DDoS. Usage of Network Time Protocol (NTP) is to synchronize clocks on systems. Its monlist command replies with 600 entries of previous traffic records. This response is enormous compared to the request. This functionality is used by the attacker in DDoS. Since these attacks can cause colossal congestion, it is crucial to prevent or mitigate these types of attacks. It is obligatory to discover a way to drop the spoofed packets while entering the network to mitigate this type of attack. Intelligent cybersecurity systems are designed for the detection of these attacks. An Intelligent system has AI and ML algorithms to achieve its function. This paper discusses such intelligent method to detect the attack server from legitimate traffic. This method uses an algorithm that gets activated by excess traffic in the network. The excess traffic is determined by the speed or rate of the requests and responses and their ratio. The algorithm extracts the IP addresses of servers and detects which server is sending more packets than requested or which are not requested. This server can be later blocked using a firewall or Access Control List (ACL).

Repurposing Existing Drugs for the Treatment of COVID-19

The rapid global spread and significant mortality associated with the coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral infection has spurred an urgent race to find effective treatments. Repurposing existing drugs is a particularly attractive approach as pharmacokinetic and safety data already exist; thus, development can leapfrog straight to clinical trials of efficacy, generating results far more quickly than de novo drug development. This review summarizes the state of play for the principle drugs identified as candidates to be repurposed for treating COVID-19 grouped by broad mechanism of action: antiviral, immune enhancing, and antiinflammatory or immunomodulatory. Patient selection, particularly with regard to disease stage, is likely to be key. To date, only dexamethasone and remdesivir have been shown to be effective, but several other promising candidates are in trials.