Optimised deep k-nearest neighbour's based diabetic retinopathy diagnosis(ODeep-NN) using retinal images

Diabetes mellitus has been regarded as one of the prime health issues in present days, which can often lead to diabetic retinopathy, a complication of the disease that affects the eyes, causing loss of vision. For precisely detecting the condition's existence, clinicians are required to recognise the presence of lesions in colour fundus images, making it an arduous and time-consuming task. To deal with this problem, a lot of work has been undertaken to develop deep learning-based computer-aided diagnosis systems that assist clinicians in making accurate diagnoses of the diseases in medical images. Contrariwise, the basic operations involved in deep learning models lead to the extraction of a bulky set of features, further taking a long period of training to predict the existence of the disease. For effective execution of these models, feature selection becomes an important task that aids in selecting the most appropriate features, with an aim to increase the classification accuracy. This research presents an optimised deep k-nearest neighbours'-based pipeline model in a bid to amalgamate the feature extraction capability of deep learning models with nature-inspired metaheuristic algorithms, further using k-nearest neighbour algorithm for classification. The proposed model attains an accuracy of 97.67 and 98.05% on two different datasets considered, outperforming Resnet50 and AlexNet deep learning models. Additionally, the experimental results also portray an analysis of five different nature-inspired metaheuristic algorithms, considered for feature selection on the basis of various evaluation parameters.

Decoupling of ion-transport from polymer segmental relaxation and higher ionic-conductivity in poly(ethylene oxide)/succinonitrile composite-based electrolytes having low lithium salt doping

Only limited enhancement in room-temperature ionic-conductivity for poly(ethylene oxide), PEO, based electrolytes is possible due to coupling between ionic-conductivity and segmental relaxation. In the present study, we have achieved ionic-conductivity of 1.07 × 10-3 and 6.20 × 10-4 S cm-1 at 313 and 298 K, respectively, by adding 45 wt% of succinonitrile (SN) in PEO having low LiTFSI loading (Li : EO = 1 : 20). This enhancement in the ionic-conductivity is attributed to faster ion transport (diffusion coefficient, D = 3.63 × 10-5 cm2 s-1) occurring through the ion-transport channels as confirmed by positron annihilation lifetime spectroscopy. The ionic-transport through these channels is observed to be highly decoupled from the segmental relaxations as confirmed using broadband dielectric spectroscopy through Ratner's approach. The observed decoupling of ionic-conductivity from PEO segmental relaxation in PEO-SN composite-based electrolytes would be useful to design rather inexpensive all solid-state polymer electrolytes for Li ion batteries.

Influence of COVID-19 pandemic in India on coronary artery disease clinical presentation, angiography, interventions and in-hospital outcomes: a single centre prospective registry-based observational study

OBJECTIVE

The study examined the influence of the COVID-19 pandemic in India on variation in clinical features, management and in-hospital outcomes in patients undergoing percutaneous coronary intervention (PCI).

DESIGN

Prospective registry-based observational study.

SETTING

A tertiary care hospital in India participant in the American College of Cardiology CathPCI Registry.

PARTICIPANTS

7089 successive patients who underwent PCI from April 2018 to March 2023 were enrolled (men 5627, women 1462). Details of risk factors, clinical presentation, coronary angiography, coronary interventions, clinical management and in-hospital outcomes were recorded. Annual data were classified into specific COVID-19 periods according to Government of India guidelines as pre-COVID-19 (April 2018 to March 2019, n=1563; April 2019 to March 2020, n=1594), COVID-19 (April 2020 to March 2020, n=1206; April 2021 to March 2022, n=1223) and post-COVID-19 (April 2022 to March 2023, n=1503).

RESULTS

Compared with the patients in pre-COVID-19 and post-COVID-19 periods, during the first COVID-19 year, patients had more hypertension, non-ST elevation myocardial infarction (NSTEMI), lower left ventricular ejection fraction (LVEF) and multivessel coronary artery disease (CAD). In the second COVID-19 year, patients had more STEMI, lower LVEF, multivessel CAD, primary PCI, multiple stents and more vasopressor and mechanical support. There were 99 (1.4%) in-hospital deaths which in the successive years were 1.2%, 1.4%, 0.8%, 2.4% and 1.3%, respectively (p=0.019). Compared with the baseline year, deaths were slightly lower in the first COVID-19-year (age-sex adjusted OR 0.68, 95% CI 0.31 to 1.47) but significantly more in the second COVID-19-year (OR 1.97, 95% CI 1.10 to 3.54). This variation attenuated following adjustment for clinical presentation, extent of CAD, in-hospital treatment and duration of hospitalisation.

CONCLUSIONS

In-hospital mortality among patients with CAD undergoing PCI was significantly higher in the second year of the COVID-19 pandemic in India and could be one of the reasons for excess deaths in the country. These patients had more severe CAD, lower LVEF, and more vasopressor and mechanical support and duration of hospitalisation.

Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data

KEY MESSAGE

An improved estimator of genomic relatedness using low-depth high-throughput sequencing data for autopolyploids is developed. Its outputs strongly correlate with SNP array-based estimates and are available in the package GUSrelate. High-throughput sequencing (HTS) methods have reduced sequencing costs and resources compared to array-based tools, facilitating the investigation of many non-model polyploid species. One important quantity that can be computed from HTS data is the genetic relatedness between all individuals in a population. However, HTS data are often messy, with multiple sources of errors (i.e. sequencing errors or missing parental alleles) which, if not accounted for, can lead to bias in genomic relatedness estimates. We derive a new estimator for constructing a genomic relationship matrix (GRM) from HTS data for autopolyploid species that accounts for errors associated with low sequencing depths, implemented in the R package GUSrelate. Simulations revealed that GUSrelate performed similarly to existing GRM methods at high depth but reduced bias in self-relatedness estimates when the sequencing depth was low. Using a panel consisting of 351 tetraploid potato genotypes, we found that GUSrelate produced GRMs from genotyping-by-sequencing (GBS) data that were highly correlated with a GRM computed from SNP array data, and less biased than existing methods when benchmarking against the array-based GRM estimates. GUSrelate provides researchers with a tool to reliably construct GRMs from low-depth HTS data.

Low body mass index is associated with adverse cardiovascular outcomes following PCI in India: ACC-NCDR registry

Objective

Registry-based prospective study was conducted to evaluate association of body mass index (BMI) with major adverse coronary events (MACE) following percutaneous coronary intervention (PCI).

Methods

Successive patients undergoing PCI were enrolled from April'19 to March'22 and classified into five BMI categories (<23.0,23.0-24.9,25.0-26.9,27.0-29.9, and ≥30.0 kg/m2). Clinical, angiographic features, interventions and outcomes were obtained by in-person or telephonic follow-up. Primary endpoints were (a) MACE(cardiovascular deaths, acute coronary syndrome or stroke, revascularization, hospitalization and all-cause deaths) and (b)cardiovascular deaths. Cox-proportionate hazard ratios(HR) and 95 % confidence intervals(CI) were calculated.

Results

The cohort included 4045 patients. Mean age was 60.3 ± 11y, 3233(79.7 %) were men. There was high prevalence of cardiometabolic risk factors. 90 % patients had acute coronary syndrome(STEMI 39.6 %, NSTEMI/unstable angina 60.3 %), 60.0 % had impaired ejection fraction(EF) and multivessel CAD. Lower BMI groups (<23.0 kg/m2) had higher prevalence of tobacco use, reduced ejection fraction(EF), multivessel CAD, stents, and less primary PCI for STEMI. There was no difference in discharge medications and in-hospital deaths. Median follow-up was 24 months (IQR 12-36), available in 3602(89.0 %). In increasing BMI categories, respectively, MACE was in 10.9,8.9,9.5,9.1 and 6.8 % (R2 = 0.73) and CVD deaths in 5.1,4.5,4.4,5.1 and 3.5 % (R2 = 0.39). Compared to lowest BMI category, age-sex adjusted HR in successive groups for MACE were 0.89,0.87,0.79,0.69 and CVD deaths 0.98,0.87,0.95,0.75 with overlapping CI. HR attenuated following multivariate adjustments.

Conclusions

Low BMI patients have higher incidence of major adverse cardiovascular events following PCI in India. These patients are older, with greater tobacco use, lower EF, multivessel CAD, delayed STEMI-PCI, and longer hospitalization.

Comprehensive characterization of the structure of Zr-based metallic glasses

Structure of metallic glasses fascinates as the generic amorphous structural template for ubiquitous systems. Its specification necessitates determination of the complete hierarchical structure, starting from short-range-order (SRO) → medium-range-order (MRO) → bulk structure and free volume (FV) distribution. This link has largely remained elusive since previous investigations adopted one-technique-at-a-time approach, focusing on limited aspects of any one domain. Reconstruction of structure from experimental data inversion is non-unique for many of these techniques. As a result, complete and precise structural understanding of glass has not emerged yet. In this work, we demonstrate the first experimental pathway for reconstruction of the integrated structure, forZr 67 Ni 33 andZr 52 Ti 6 Al 10 Cu 18 Ni 14 glasses. Our strategy engages diverse (× 7) multi-scale techniques [XAFS, 3D-APT, ABED/NBED, FEM, XRD, PAS, FHREM] on the same glass. This strategy complemented mutual limitations of techniques and corroborated common parameters to generate complete, self-consistent and precise parameters. Further, MRO domain size and inter-void separation were correlated to identify the presence of FV at MRO boundaries. This enabled the first experimental reconstruction of hierarchical subset: SRO → MRO → FV → bulk structure. The first ever image of intermediate region between MRO domains emerged from this link. We clarify that determination of all subsets is not our objective; the essence and novelty of this work lies in directing the pathway towards finite solution, in the most logical and unambiguous way.

An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time

Over 6.5 million people around the world have lost their lives due to the highly contagious COVID 19 virus. The virus increases the danger of fatal health effects by damaging the lungs severely. The only method to reduce mortality and contain the spread of this disease is by promptly detecting it. Recently, deep learning has become one of the most prominent approaches to CAD, helping surgeons make more informed decisions. But deep learning models are computation hungry and devices with TPUs and GPUs are needed to run these models. The current focus of machine learning research is on developing models that can be deployed on mobile and edge devices. To this end, this research aims to develop a concise convolutional neural network-based computer-aided diagnostic system for detecting the COVID 19 virus in X-ray images, which may be deployed on devices with limited processing resources, such as mobile phones and tablets. The proposed architecture aspires to use the image enhancement in first phase and data augmentation in the second phase for image pre-processing, additionally hyperparameters are also optimized to obtain the optimal parameter settings in the third phase that provide the best results. The experimental analysis has provided empirical evidence of the impact of image enhancement, data augmentation, and hyperparameter tuning on the proposed convolutional neural network model, which increased accuracy from 94 to 98%. Results from the evaluation show that the suggested method gives an accuracy of 98%, which is better than popular transfer learning models like Xception, Resnet50, and Inception.

A core-shell magnet Mn70Bi30 grown at seeds in magnetic fields and its impacts on its spin-dynamics, Curie point and other tailored properties

The MnBi alloys is a model series of rare-earth free magnets for surge of technologies of small parts of automobiles, power generators, medical tools, memory systems, and many others. The magnetics stem primarily at unpaired Mn-3d5 spins (a 4.23 B moment) align parallel via an orbital moment 0.27 B of Bi-5d106s2p3 in a crystal lattice. Thus, using a surplus Mn (over Bi) in a Mn70Bi30 type alloy designs a spin-rich system of duly tailored properties useful for magnetics and other devices. In this view, we report here a strategy of a refined alloy powder Mn70Bi30 can grow into small crystals of hexagonal (h) plates at seeds as annealed in magnetic fields (in H2 gas). So, small h-plates (30 to 50 nm widths) are grown up at (002) facets, wherein the edges are turned down in a spiral ( 2.1 nm thicknesses) in a core-shell structure. The results are described with X-ray diffraction, lattice images and magnetic properties of a powder Mn70Bi30 (milled in glycine) is annealed at 573 K for different time periods, so to the Mn/Bi order at the permeable facets (seeds). Duly annealed samples exhibit an enhanced magnetization, Ms  70.8 emu/g, with duly promoted coercivity Hc  10.810 kOe (15.910 kOe at 350 K), energy-product 14.8 MGOe, and the crystal-field-anisotropy, K1  7.6x107 erg/cm3, reported at room temperature. Otherwise, Ms should decline at any surplus 3d5-Mn spins order antiparallel at the antisites. Enhanced Curie point 658.1 K (628 K at Mn50Bi50 alloy) anticipates that a surplus Mn does favor the Mn-Bi exchange interactions. Proposed spin models well describe the spin-dynamics and lattice relaxations (on anneals) over the lattice volume (with twins) and spin clusters.

Studies on the breeding potential and entomological indices of dengue vector Aedes aegypti and Aedes albopictus in the district Ghaziabad of Uttar Pradesh, India

BACKGROUND & OBJECTIVES

The female Aedes mosquito is a vector of many arboviruses-borne diseases. The evidence and information regarding their breeding habitats are vital for implementing appropriate control policies.

METHODS

An entomological survey was done at three sites in Ghaziabad district of Uttar Pradesh, India viz. Indirapuram, Vasundhara, and Vaishali to generate the first boundary line information of breeding sites of Aedes aegypti larvae for the early prevention and control interventions for dengue management.

RESULTS

A total of 2994 containers were checked in 1169 households at the time of the survey for breeding sites of Aedes mosquito during the pre-monsoon, monsoon, and post-monsoon period, out of which 667 containers were found positive in 518 positive households. The total HI, CI, and BI were 44.31, 22.27, and 57.05 respectively. The maximum and minimum breeding indices were found during monsoon and pre-monsoon respectively. The most preferred containers for Aedes breeding were cement tanks for lotus plants in nurseries, drums, and small and large size pots for storage of water and ornamental plants mostly in 8 plant nurseries.

INTERPRETATION & CONCLUSION

Breeding of Aedes was found in nurseries and desert coolers which were the primary breeding containers found during the survey. The containers found positive during surveys were emptied or destroyed with the help of the local community and the breeding status of nurseries was informed to the health authorities of Ghaziabad to take necessary action against the breeding sites of the Aedes mosquitoes.

Application of blockchain technology in shaping the future of food industry based on transparency and consumer trust

Food Industries, at this moment, are moving towards a new phase, and this phase will be governed by consumers and not by the industry leaders. The report shows that claims on sustainability, health, wellness, and transparency would govern the future trends in the food industry. Currently, there are several cases of misleading and false claims which hamper consumer trust. So, to uphold consumer trust, authentication of claims through transparency in the food supply chain is required, and blockchain technology can bring transparency at relatively low transaction costs. Once in a blockchain network, data is very difficult to manipulate, with no single point of authority to mess and collapse the system. Though we see mostly the financial systems using blockchain's decentralized functionality, there is a growing trend of innovative applications being built in the supply chain area for contracts and operations. With effort in the right direction and over time, blockchain will recast how operations and processes are done across the industry, including public sectors. The paper reviews the opportunity for the blockchain in enabling food industries for future-readiness, empowering the consumers in verifying the product claims and thus prevent themselves from food fraud. In doing so, the paper considers the future trends in the food industry, identifies current food fraud cases, and outlines the various applications in the agri-food chain and challenges associated with it.

Graphical abstract

Elemental Composition and Sources of Fine Particulate Matter (PM2.5) in Delhi, India

In this study we have analysed the elemental composition of fine particulate matter (PM_2.5) to examine the seasonal changes and sources of the elements in Delhi, India from January, 2017 to December, 2021. During the entire sampling period, 19 elements (Al, Fe, Ti, Cu, Zn, Cr, Ni, As, Mo, Cl, P, S, K, Pb, Na, Mg, Ca, Mn, and Br) of PM_2.5 were identified by Wavelength Dispersive X-ray Fluorescence Spectrometer. The higher annual mean concentrations of S (2.29 µg m^-3), Cl (2.26 µg m^-3), K (2.05 µg m^-3), Ca (0.96 µg m^-3) and Fe (0.93 µg m^-3) were recorded during post-monsoon season followed by Zn > Pb > Al > Na > Cu > Ti > As > Cr > Mo > Br > Mg > Ni > Mn > and P. The annual mean concentrations of elemental composition of PM_2.5 accounted for 10% of PM_2.5 (pooled estimate of 5 year). Principal Component Analysis (PCA) identified the five main sources [crustal/soil/road dust, combustion (BB + FFC), vehicular emissions (VE), industrial emissions (IE) and mixed source (Ti, Cr and Mo rich-source)] of PM_2.5 in Delhi, India.

On enhancing the Li-ion conductivity of quasi-solid-state electrolytes by suppressing the flexibility of zeolitic imidazolate framework-8 via a mixed ligand strategy

Zeolitic imidazole frameworks (ZIFs) have emerged as potential conductive materials for Li ion-transport in polymer solid state electrolytes. However, developing ZIFs with high Li ionic conductivity is rather limited due to their flexible frameworks allowing dual ion conduction. Herein, we have used a mixed ligand strategy for fine-tuning the aperture and enhancing the rigidity of ZIF-8, which restricts the passage of large size anions. Poly(ethylene oxide)-based quasi-solid state electrolytes utilizing mixed ligand ZIF-7-8 frameworks as passive fillers show a continuous enhancement in Li ion-conductivity exclusively attributed to modifications in the flexibility and pore architecture of ZIF-8 as confirmed through broadband dielectric spectroscopy and positron annihilation spectroscopy. This study shows that polymer segmental relaxation and conductivity relaxation processes are decoupled in these electrolytes. Consequently, our proposed approach provides a new strategy for manufacturing a polymer-based electrolyte with enhanced ionic conductivity.

Modular electromagnetic railgun accelerator for high velocity impact studies

A modular electromagnetic railgun accelerator facility named "RAFTAR" (i.e., Railgun Accelerator Facility for Technology and Research) has been commissioned and its performance has been characterized for high velocity impact testing on materials in a single-shot mode. In the first tests, RAFTAR demonstrated an acceleration of more than 1000 m/s for an 8 g solid aluminum-7075 armature projectile. The current fed was 220 kA, having a muzzle time of about 1.75 ms. It is a single pulse breech-fed rectangular bore (14 × 13 mm²) railgun, and its 1.15 m long barrel assembly consists of two parallel copper bars with an inter-gap of 13 mm that are encased within 50 mm thick high strength reinforced fiberglass sheets (Garolite G10-FR4) and bolted from both the sides. RAFTAR is powered by two capacitor bank modules that have a maximum stored energy of 160 kJ each (containing eight 178 μF/15 kV capacitors), two high power ignitron switches, and a pulse shaping inductor. To obtain consistent acceleration of the armature inside the barrel, reversal of driving current is prevented, and its pulse duration is stretched by tactical integration of the crowbar switch and bitter coil inductor in the circuit. Armature projectile velocity measurement in-bore and outside in free space was performed by the time-of-flight technique using indigenously made miniature B-dot sensors and a novel shorting-foil arrangement, respectively. The time resolved measurement of the in-bore armature evidenced a velocity-skin-effect in the high acceleration phase. There is good agreement between the experimentally measured and theoretically predicted efficiency, confirming the optimal choice of operating parameters. The conclusion summarizes important experimental findings and analyzes the underlying causes that limit the performance of railguns.

Factors associated with health-related quality of life in heart failure in 23,000 patients from 40 countries: results of the global congestive heart failure research program

Background

Poor health-related quality of life (HRQL) is common in heart failure (HF) and strongly predicts death and HF hospitalization in all regions of the world. Understanding facors associated with HRQL could therefore lead to improved prognosis in HF patients. Despite that the majority of HF occurs in low- and middle-income countries, there are limited data characterizing self-perceived health HRQL and its correlates in these settings.

Purpose

To examine clinical and social correlates of HRQL in patients with HF from high- (HIC), upper middle- (UMIC), lower middle-(LMIC) and low-income (LIC) countries.

Methods

Between 2017 and 2020, we enrolled 23,292 patients with HF (32% inpatients, 61% men) from 40 countries in the Global Congestive Heart Failure Study. We recorded HRQL at baseline using Kansas City Cardiomyopathy Questionnaire (KCCQ)-12. In a cross-sectional analysis, we compared age- and sex-adjusted mean KCCQ-12 summary scores (SS: 0–100, higher=better) between patients from different country income levels. We used multivariable linear regression examining correlations (estimates expressed as β-coefficients) of KCCQ-12-SS with sociodemographic-, comorbidity-, treatment- and symptom-covariates. The adjusted model (37 covariates) was informed by univariable findings, clinical importance and backward selection. We used partial R2-estimates to understand the contribution to the variability in KCCQ-12-SS of 4 different groups of covariates. (sociodemographic, comorbidities, treatments and signs and symptoms of congestion).

Results

Mean age was 63 years and 40% were in NYHA class III–IV. Average HRQL was 55± SD 0.5. It was 62.5 (95% CI 62.0–63.1) in HIC, 56.8 (56.1–57.4) in UMIC, 48.6 (48.0–49.3) in LMIC, and 38.5 (37.3–39.7) in LICs (p&lt;0.0001). Strong correlates (β-coefficient [95% CI]) of KCCQ-12-SS were NYHA class III vs class I/II (−12.1 [−12.8 to −11.4] and class IV vs. class I/II (−16.5 [−17.7 to −15.3]), effort dyspnea (−9.5 [−10.2 to −8.8]) and living in LIC vs. HIC (−5.8 [−7.1 to −4.4]). Symptoms explained most of the KCCQ-12-SS variability (partial R2=0.32 of total adjusted R2=0.51), followed by sociodemographic factors (R2=0.12). Results were consistent in populations across income levels.

Conclusion

The most important correlates of HRQL in HF patients relate to HF symptom severity, irrespective of country-income level. Improved symptom control may have a big impact on HRQL, especially in LICs.

Funding Acknowledgement

Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Bayer AG

Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app

Background

Patients presenting with cardiogenic shock remain at high risk of morbidity and mortality. Several mechanical cardiocirculatory support (MCS) devices have been developed and their use is rapidly increase in clinical practice. However, there is significant heterogeneity in patient selection, timing of implantation, and post-implantation management across centers and operators.

Purpose

We sought to develop and smartphone app-based clinical decision-making tool to help bedside selection and post-implantation management of MCS devices in patients presenting with cardiogenic shock or cardiac arrest.

Methods

The MCS-Aid app will consistent of 3 major sections: (i) initial device selection based on clinical presentation (patients with cardiogenic shock or cardiac arrest post-ROSC); (ii) guide for escalation or addition of MCS based on the individual hemodynamic scenario; (iii) guide for weaning after implantation of MCS device. The app will have an interactive interface that will allow the user to select the most appropriate next step in management based on the clinical information being entered. A calculator to derive key hemodynamic parameters (e.g. cardiac power output or pulmonary artery pulsatility index) will be incorporated in the App to inform clinical decision-making when appropriate. An example of an algorithm that will be part of the MCS-Aid app is illustrated in the figure.

Conclusions

The MCS-Aid app is an user-friendly bedside clinical decision tool that could help fellows-in-training, early-career interventionalist and interventional cardiologist to select the appropriate MCS device according to the individual clinical and hemodynamic scenario.

Funding Acknowledgement

Type of funding sources: Private company. Main funding source(s): Abiomed

Effect of aspirin discontinuation according to individualised patient bleeding and ischemic risks after PCI: a TWILIGHT trial sub-analysis

Background

The TWILIGHT trial demonstrated a reduction in BARC 2, 3 or 5 (BARC-235) bleeding without an increase in ischemic events at 1-year in high-risk PCI patients randomized to placebo or aspirin (ASA) on a background of ticagrelor 3-months after PCI. However, the effect of ASA discontinuation according to baseline risk of bleeding and ischemic events remain unclear.

Purpose

To a) develop separate models to predict the risk of bleeding and ischemic events, and b) to assess treatment effect of ASA discontinuation across the risk strata.

Methods

Using the TWILIGHT patient database (N=7,119), two multivariable models, one for BARC-235 bleeding and one for CV death, nonfatal MI or nonfatal ischemic stroke (ischemic endpoint) were developed, and their predictive capacity was assessed. The effect of randomized treatment on bleeding and ischemic events across different patient risk-group categories as determined by the risk scores was investigated.

Results

At 1-year, 350 (5.4%) patients experienced a BARC-235 bleeding event and 258 (3.6%) experienced an ischemic event. Independent predictors of BARC-235 included haemoglobin levels at index PCI, proton-pump inhibitor non-use at discharge, age, liver disease and active smoking (c-statistic 0.64). Independent predictors of the ischemic outcome included a positive troponin ACS, prior CABG, diabetes, age, peripheral artery disease, prior PCI, a history of congestive heart failure, active smoking, the level of index PCI complexity, and prior MI (c-statistic 0.71). The risk of a BARC-235 almost doubled between patients in lower versus higher bleeding risk categories (4.3% versus 7.9%) and ischemic risk more than tripled between patients in lower versus higher ischemic risk categories (2.0% versus 7.0%) (see Figure 1). There was no evidence of a differential treatment effect for dual antiplatelet therapy versus ticagrelor monotherapy across the different risk categories of bleeding (interaction P=0.54) and ischemic risk (interaction P=0.95) (Table 1).

Conclusion

Individual patient bleeding and ischemic risks after PCI can both be readily characterised with good discrimination. The effect of ASA discontinuation in preventing bleeding in ticagrelor-treated patients was consistent regardless of baseline bleeding risk. There was no evidence for increased ischemic events with ASA discontinuation according to baseline ischemic risk.

Funding Acknowledgement

Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): AstraZenecaIcahn School of Medicine at Mount Sinai

Role of psychrotrophic bacteria and cold-active enzymes in composting methods adopted in cold regions

Temperature-dependent composting is a challenging task but is worthy if it is done in the right manner. Cold composting has been known to be practiced since ancient times but there were not enough advancements to overcome the long mesophilic phase and bring the compost maturation to a short period. The composting processes that have been well practiced are discussed and the role of psychrotrophic bacteria that produce cold tolerant hydrolytic enzymes has been highlighted. In this chapter, the mechanism of substrate degradation has been elaborated to better understand the need of specific bacteria for a specific kind of substrate allowing fast and efficient decomposition. This chapter attempts to pave an appropriate way and suggest the best-suited method of composting for efficient production of compost by the conservation of heat in cold regions.

The conundrum of olecranon aperture and its relation to the distal end of the humerus in a modern Indian population: An anatomical and surgical perspective

PURPOSE

We aimed to clarify the morphology of the olecranon aperture (OA) of the humerus with its relationship to the distal end of the humerus (epicondylar width) and the width of the medullary canal.

METHODS

In total, 156 dry adult humeri were examined for the presence of OA. When present, we reported their shape, measured transverse (TD) and vertical diameter (VD), the distance from its medial border to the tip of medial epicondyle (D1), lateral border to the tip of lateral epicondyle (D2) and lower border to the tip of trochlea (D3). The epicondylar width (EW) and the width of the medullary canal were also measured in all the humeri.

RESULTS

OA was reported in 32 humeri (20.6%) with left side predominance, translucent septum in 35.8%, and opaque septum in 43.6%. The most typical shape noted was oval. On right side, mean VD and TD was 4.30±0.54mm and 5.85±0.45mm, respectively, whereas on left, these value were 4.21±0.56mm and 5.64±0.43mm, respectively. The mean of D1, D2 and D3 was 25.86±0.43mm, 26.50±0.28mm and 15.07±0.53mm on right and 24.80±0.41mm, 26.84±0.21mm and 15.81±0.31mm on left with significant difference (P<0.05). The medullary canal was significantly smaller in humeri with OA.

CONCLUSION

Topographic location of OA may have possible role in determining safe zone for retrograde nailing in supracondylar humeral fractures. Since OA has a direct relation to the size of the intramedullary canal, it is crucial during preoperative planning and choosing an adequate surgical approach involving lower segment of humerus.

Long-Term Variation in Carbonaceous Components of PM2.5 from 2012 to 2021 in Delhi

Carbonaceous species [organic carbon (OC), elemental carbon (EC), elemental matter (EM), primary organic carbon (POC), secondary organic carbon (SOC), total carbon (TC), and total carbonaceous matter (TCM)] of PM_2.5 were analyzed to study the seasonal variability and long-term trend of carbonaceous aerosols (CAs) in megacity Delhi, India from January, 2012 to April, 2021. The average concentrations (± standard deviation) of PM_2.5, OC, EC, TC, EM, TCM, POC and SOC were 127 ± 77, 15.7 ± 11.6, 7.4 ± 5.1, 23.1 ± 16.5, 8.2 ± 5.6, 33.3 ± 23.9, 9.3 ± 6.3 and 6.5 ± 5.3 µg m^-3, respectively during the sampling period (10-year average). The average CAs accounted for 26% of PM_2.5 concentration during the entire sampling period. In addition, the seasonal variations in PM_2.5, OC, EC, POC, SOC, and TCM levels were recorded with maxima in post-monsoon and minima in monsoon seasons. The linear relationship of OC and EC, OC/EC and EC/TC ratios suggested that the vehicular emissions (VE), fossil fuel combustion (FFC) and biomass burning (BB) are the major sources of CAs at megacity Delhi, India.

Aqueously altered igneous rocks sampled on the floor of Jezero crater, Mars

The Perseverance rover landed in Jezero crater, Mars, to investigate ancient lake and river deposits. We report observations of the crater floor, below the crater's sedimentary delta, finding the floor consists of igneous rocks altered by water. The lowest exposed unit, informally named Séítah, is a coarsely crystalline olivine-rich rock, which accumulated at the base of a magma body. Fe-Mg carbonates along grain boundaries indicate reactions with CO₂-rich water, under water-poor conditions. Overlying Séítah is a unit informally named Máaz, which we interpret as lava flows or the chemical complement to Séítah in a layered igneous body. Voids in these rocks contain sulfates and perchlorates, likely introduced by later near-surface brine evaporation. Core samples of these rocks were stored aboard Perseverance for potential return to Earth.

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. An intrusion detection system (IDS) is the most promising solution for preventing malicious intrusions and tracing suspicious network behavioral patterns. Machine learning (ML) methods are widely used in IDS. Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. In the initial phase, the proposed HNIDS utilizes hybrid EGA-PSO methods to enhance the minor data samples and thus produce a balanced data set to learn the sample attributes of small samples more accurately. In the proposed HNIDS, a PSO method improves the vector. GA is enhanced by adding a multi-objective function, which selects the best features and achieves improved fitness outcomes to explore the essential features and helps minimize dimensions, enhance the true positive rate (TPR), and lower the false positive rate (FPR). In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier's performance, and prevents overfitting issues. The performance of the proposed method and existing ML methods are tested using the benchmark datasets NSL-KDD. The experimental findings demonstrated that the proposed HNIDS method achieves an accuracy of 98.979% on BCC and 88.149% on MCC for the NSL-KDD dataset, which is far better than the other ML methods i.e., SVM, RF, LR, NB, LDA, and CART.

The generation of diverse traveling pulses and its solution scheme in an excitable slow-fast dynamics

In this article, we report on the generation and propagation of traveling pulses in a homogeneous network of diffusively coupled, excitable, slow-fast dynamical neurons. The spatially extended system is modeled using the nearest neighbor coupling theory, in which the diffusion part measures the spatial distribution of coupling topology. We derive analytically the conditions for traveling wave profiles that allow the construction of the shape of traveling nerve impulses. The analytical and numerical results are used to explore the nature of propagating pulses. The symmetric or asymmetric nature of traveling pulses is characterized, and the wave velocity is derived as a function of system parameters. Moreover, we present our results for an extended excitable medium by considering a slow-fast biophysical model with a homogeneous, diffusive coupling that can exhibit various traveling pulses. The appearance of series of pulses is an interesting phenomenon from biophysical and dynamical perspective. Varying the perturbation and coupling parameters, we observe the propagation of activities with various amplitude modulations and transition phases of different wave profiles that affect the speed of pulses in certain parameter regimes. We observe different types of traveling pulses, such as envelope solitons and multi-bump solutions, and show how system parameters and coupling play a major role in the formation of different traveling pulses. Finally, we obtain the conditions for stable and unstable plane waves.

Structural ordering at magnetic seeds with twins at boundaries of a core-shell alloy Mn60Bi40and tailored magnetic properties

A spin Mn3d⁵-rich Mn₆₀Bi₄₀alloy reveals a model system in order to tailor profound magnetic properties at unpaired 3d⁵spins in such alloys of a core-shell structure. As annealed (at a critical temperature 573 K in H₂gas), a refined powder (in glycine) grows onα-MnBi seeds (crystallites) present in it at Mn/Bi atoms order over topological layers, preferentially along (110) planes, at a self-confined structure at seeds of an anisotropic shape of hexagonal (h) plates (25-85 nm widths). In terms of the HRTEM images, the atoms turn down at edges (at the plates grow up) in a spiral layer, ≤ 2.1 nm thickness, of small core-shells. A spin model is proposed to delineate a way at the spins can pin down at the edges, form single magnetic domains, and raise coercivity (H_c), with no much loss of net magnetic moment. The X-ray diffraction and HRTEM images corroborate the results of topological pacing of atoms at the h-plates at anneals. A novelty is that a core-shell leads to tailor a superbH_c, as much as 11.110 kOe (16.370 kOe at 350 K), with a fairly large magnetization, 76.5 emu g^-1, at near 300 K. An enhanced Curie point 650.1 K (628 K at Mn₅₀Bi₅₀alloy) confers a surplus 3d⁵-Mn spin sensitively tunesα-MnBi stoichiometry and so its final magnetic structure. A refined alloy powder so made is useful to make powerful magnets and devices in the forms of films and bonded magnets in different shapes for uses as small tools, tweezers, and other devices.

Effect of nurse-led lifestyle modification follow up program on health outcomes and quality of life among post myocardial infarction patients: a randomized controlled trial

Funding Acknowledgements

Type of funding sources: None.

Background

India has among the world's highest burden of cardiovascular disease, potentially contributed by myocardial infarction. Despite growing trouble, there are no known post-discharge programs & randomized trials reporting health status outcomes & quality of life among post-myocardial infarction patients. Cardiac rehabilitation programs reduce mortality, therefore, it is crucial to understand the local burden of the disease, common challenges, public perceptions, develop timely & effective interventional programs.

Purpose

This study aimed to evaluate the effect of a nurse-led lifestyle modification follow-up program on health outcomes & quality of life among post-myocardial infarction patients.

Methods

A two-arm randomized controlled trial was adopted & 104 post-myocardial infarction patients were recruited from August to December 2021. An equal number of participants were randomly assigned to intervention & control group by random number table generator. The control group patients received routine care, while the intervention group was provided routine care along with a nurse-led lifestyle modification follow-up program(health education, educational booklet, & telephone follow- up). A low-cost intervention based on information-motivation-behavioural skill model was developed. It was designed according to the needs of patients to know their risk factors, help patients establish a knowledge base, & adapt to the post-illness lifestyle changes. Data were assessed & compared by using the demographic datasheet, health outcomes datasheet, & MacNew heart disease quality of life questionnaire. All evaluations were conducted at baseline after 12 weeks post-discharge, by face-to-face interview & biophysiological measurements.

Results

The nurse-led lifestyle modification follow-up program was convenient for clinical application. The intervention group showed a appreciable improvement in low density lipoprotein(p=0.045), systolic blood pressure(p=0.009), diastolic blood pressure(p=0.044), body mass index(p=0.043), and NT ProBNP(p=0.007). The program effectively improved the lifestyle behaviours thereby considerably improving the quality of life in all the subscales-physical, emotional & social (p&lt;0.001) after 12 weeks of discharge.

Conclusion

In the Indian context, it is a novel & extensive approach to improve access to health care and emphasizes post-discharge self-management. The greatest benefit of this program was allowing the intervention group participants to consult with us immediately. Since lifestyles vary among different individuals, we considered individuality when providing education & involving them in implementation of an intervention to enhance their confidence & ultimately achieve optimal health outcomes & quality of life. The findings of this study are important for health care professionals caring for post-myocardial infarction patients & direct incorporation of such programs into routine practice to reduce morbidity & mortality.

Undiagnosed and Uncontrolled Hypertension and Access to Health Care among Residents of an Urban Area of Eastern Nepal: a Cross-sectional Study

Background The burden and complication of hypertension is increasing as most of the people living with hypertension are unaware of their condition and those who are already diagnosed with it do not have their blood pressure under control. Objective To assess the prevalence of undiagnosed and uncontrolled hypertension among residents of Itahari sub metropolitan city of eastern Nepal, along with its associated socio demographic and behavioral risk factors and access to health care services. Method Cross sectional study was conducted in five wards of Itahari, among 1161 participants, using population proportionate to sample size sampling technique. Face to face interview was conducted with participants for data collection applying semi- structured questionnaire and physical measurement like blood pressure, weight and height. Result Prevalence of hypertension was 26.5% includingundiagnosed 11.0% and previously diagnosed 15.5%. Among diagnosed, 76.6% had uncontrolled blood pressure and 56.70% were taking anti-hypertensive medicine, and 7.8% were under Ayurvedic medicine. More than 70% participants preferred private health facility for treatment and 22.7% had faced financial barrier to seek healthcare. About 64% of participants did not visit health services or had visited only once in past six months. Increasing age, Body Mass Index (BMI), smoking status and positive family history were found to be significantly associated with hypertension at < 0.05 level. Conclusion Prevalence of hypertension is high and awareness regarding available health services in local primary health center and its utilization is lacking among participants. Regular screening program for hypertension and awareness program to disseminate the knowledge of availability of primary health center should be conducted.

A National Equity Initiative to Address Noncommunicable Diseases and Injuries: Findings and Recommendation from the Nepal NCDI Poverty Commission

We aimed to assess the burden of NCDIs across socioeconomic groups, their economic impact, existing health service readiness and availability, current policy frameworks and national investment, and planned programmatic initiatives in Nepal through a comprehensive literature review. Secondary data from Global Burden of Disease estimates from GBD 2015 and National Living Standard Survey 2011 were used to estimate the burden of NCDI and present the relationship of NCDI burden with socioeconomic status. The Commission used these data to define priority NCDI conditions and recommend potential cost-effective, poverty-averting, and equity-promoting health system interventions. NCDIs disproportionately affect the health and well-being of poorer populations in Nepal and cause significant impoverishment. The Commission found a high diversity of NCDIs in Nepal, with approximately 60% of the morbidity and mortality caused by NCDIs without primary quantified behavioral or metabolic risk factors, and nearly half of all NCDI-related DALYs occurring in Nepalese younger than 40 years. The Commission prioritized an expanded set of twenty-five NCDI conditions and recommended introduction or scale-up of twenty-three evidence-based health sector interventions. Implementation of these interventions would avert an estimated 9680 premature deaths per annum by 2030 and would cost approximately $8.76 per capita. The Commission modelled potential financing mechanisms, including increased excise taxation on tobacco, alcohol, and sugar-sweetened beverages, which would provide significant revenue for NCDI-related expenditures. Overall, the Commission's conclusions are expected to be a valuable contribution to equitable NCDI planning in Nepal and similar resource-constrained settings globally.

Asian Best Practices for Care of Diabetes in Elderly (ABCDE)

The elderly population with diabetes is diverse with the majority experiencing a decline in physical and mental capabilities, impacting the entire diabetes management process. Therefore, a need for geriatric-specific guidelines, especially for the Asian population, was identified and subsequently developed by an expert panel across government and private institutions from several Asian countries. The panel considered clinical evidence (landmark trials, position papers, expert opinions), recommendations from several important societies along with their decades of clinical experience and expertise, while meticulously devising thorough geriatric-specific tailored management strategies. The creation of the ABCDE best practices document underscores and explores the gaps and challenges and determines optimal methods for diabetes management of the elderly population in the Asian region.

Familial hypercholesterolemia in community-based KHDC Nepal program-baseline data

Funding Acknowledgements

Type of funding sources: Public Institution(s). Main funding source(s): HUG and Republic and Canton of Geneva – Service de solidarité internationaleBP Koirala Institute of Health Sciences

Familial hypercholesterolemia (FH) is either underdiagnosed or diagnosed after primary coronary events. Although homozygous variant of FH is considered rare, heterozygous FH is estimated to occur in about 1 in 200 to 300 individuals. There is no study pertaining to prevalence of FH in Nepal which could be a factor influencing cardiovascular morbidity and mortality.

We present a baseline data of FH in an ongoing in participants of community-based cardiovascular and kidney diseases preventive (KHDC Nepal) program in Mechinagar municipality in Eastern Nepal.

KHDC is a program to collaborate among health post, primary health center or equivalent, and local government along with community representatives created to educate, screen, and intervene for selective NCDs. This program is in alignment with the World Health Organization’s Package of Essential Noncommunicable (WHO PEN) disease interventions for primary health care in low-resource settings. General health status and lifestyle habits, physical examination, and blood pressure were assessed. Blood tests done included fasting lipid profile, serum creatinine, FBS, and HbA1c. A mechanism was developed to follow-up screened positive persons in the primary health centers. Referrals were made to the tertiary care center as needed.

We analyzed initial 7289 participants, 20 years or above, who were enrolled in KHDC program in the year 2020. We assessed for FH using Dutch Lipid Clinic Network(DLCN), Simon Broome and AHA criteria. Participants were categorized as definite, probable, possible, or no FH based on the scores of DLCN criteria; as definite and probable based on Simon Broome criteria and as clinically diagnosed FH based on AHA criteria.

The median age of the patient was 54 years, the majority being females (62.7%). A total of 70(0.96%) of the participants had elevated LDL-C levels of more than 190mg/dl detected during the screening and had no secondary cause for hyperlipidemia. According to DLCN criteria, 65(0.89%) participants were grouped under possible FH, 5(0.06%) were grouped under probable FH while none of them could be delineated as definite FH. According to Simon Broome criteria, 14(0.2%) participants were grouped under probable and none of them could be delineated as definite. According to AHA criteria, 10 (0.13%) participants were categorized as clinically diagnosed FH. DNA analysis was not available in our setup. Clinically manifested atherosclerotic disease was recorded in 5 participants. None of the participants were aware of the FH.

This community-based program of the adult population help create baseline data of FH in Nepal. Larger study with genetic analysis is likely to reveal true prevalence of FH in Nepal.

Critical Analysis of Existing Punjabi Grammar Checker and a Proposed Hybrid Framework Involving Machine Learning and Rule-Base Criteria

An important area of research involving Artificial Intelligence (AI) is Natural Language Processing (NLP). The objective of training a machine is to imitate and manipulate text and speech of humans. Progressive research is undertaken to find connection between humans and their usage of language commonly used being referred as Natural Language. Various tools for different languages have been developed for operating the natural languages widely used by public. NLP integrates various disciplines and works cohesively for processing text, Information Retrieval, AI etc. One such tool used for checking the accuracy of a given sentence in any language is referred to as a Grammar Checker. So a Grammar checker of a particular language explores grammatical errors (if any) and provide remedial suggestions for correction of the same. Such feature is imbibed by virtue of Natural Language Processing using Computational Linguistics. We have justified the need of an emerging Machine Learning technique by critically evaluating existing Punjabi Grammar checker that was developed earlier in light of certain real time cases. This process is accomplished by critically evaluating the output of each phase and identifying the component accountable for generating maximum errors and false alarms. Based on this analysis, we have proposed a hybrid framework as an efficient way of analyzing correction in sentences. This is attainable through the said booming technique of Machine Learning explicitly using Deep Neural Networks in combination with existing rule-based approach. It's a novel approach as no work using machine learning has been done earlier in Punjabi Grammar Checker.

Allelic variants of a potato HEAT SHOCK COGNATE 70 gene confer improved tuber yield under a wide range of environmental conditions

Previously, we developed and applied a glasshouse screen for potato tuber yield under heat stress and identified a candidate gene (HSc70) for heat tolerance by genetic analysis of a diploid potato population. Specific allelic variants were expressed at high levels on exposure to moderately elevated temperature due to variations in gene promoter sequence. In this study, we aimed to confirm the results from the glasshouse screen in field trials conducted over several seasons and locations including those in Kenya, Malawi and the UK. We extend our understanding of the HSc70 gene and demonstrate that expression level of HSc70 correlates with tolerance to heat stress in a wide range of wild potato relatives. The physiological basis of the protective effect of HSc70 was explored and we show that genotypes carrying the highly expressed HSc70 A2 allele are protected against photooxidative damage to PSII induced by abiotic stresses. Overall, we show the potential of HSc70 alleles for breeding resilient potato genotypes for multiple environments.

MN/CA9 gene expression as a potential tumor marker for renal cell carcinoma

MN/CA9 is a cell surface glycoprotein and a tumor-associated antigen. It plays a crucial role in the regulation of cell proliferation and oncogenesis. There is no ideal tumor marker currently available for renal cell carcinoma (RCC) with sufficient sensitivity and specificity. Therefore, we studied MN/CA9 gene expression in the tumor tissue, apparently normal kidney tissue, preoperative blood, and urine samples of patients with RCC. We included thirty cases of renal tumors (26 RCC and 4 benign tumors) in the study. We applied an RT-PCR assay for MN/CA9 gene expression to 26 RCC kidney tumor samples and four benign kidney tumor tissue samples. We also evaluated MN/CA9 gene expression in preoperative blood and urine samples of 15 of these cases. Additionally, thirty-five grossly normal renal tissue samples, including 21 from kidneys with RCC, were also evaluated for gene expression. The RT-PCR analysis revealed that twenty-one out of 26 RCC tissue samples showed MN/CA9 gene expression compared to three out of 35 non-malignant renal tissue samples (p < 0.05). Two out of four benign renal tissue samples also expressed this gene. We also observed MN/CA9 gene expression in nine out of 15 blood samples and four out of 15 urine samples. All patients with urinary MN/CA9 gene expression showed expression in blood and tumor tissue samples. We found a correlation in terms of MN/CA9 expression between blood and tumor tissue samples of RCC patients as those who exhibit MN/CA9 expression in blood were also positive at the tumor tissue levels. The difference in MN/CA9 gene expression in tumor tissue, blood, and urine samples in relation to the stage of the disease, nuclear grade, and histological cell-type was not statistically significant. However, all the three patients who had metastatic RCC had MN/CA9 gene expression in their blood. The existence of a tumor-associated antigen such as MN/CA9 may present a possible target for molecular diagnosis and management of RCC.

Experimental study of solar energy-based water purifier of single-slope type by incorporating a number of similar evacuated tubular collectors

This research paper deals with the experimental investigation of solar energy-based water purifier (SEBWP) of single-slope type by incorporating N similar evacuated tubular collectors (ETCs) having series connection. Experimental investigation has been done for a year from August 2018 to July 2019. MATLAB has been used for evaluating performance parameters of the system followed by the validation of these results with their experimental values. A fair agreement has been found between theoretical and experimental values. Values of correlation coefficients for condensing glass temperature, water temperature, and water yield have been found to be 0.9932, 0.9928, and 0.9951 respectively. Further, energy metrics, productivity, cost of producing 1 kg of fresh water, and exergoeconomic and enviroeconomic parameters have been evaluated. Values of energy payback time, per kilogram cost of producing fresh water and exergy loss per unit Rs. have been evaluated to be 1.72 years, Rs. 0.95/kg, and 0.128 kWh/Rs. respectively.

Progressive left and right heart dysfunction in coronavirus disease-19: Prospective echocardiographic evaluation

Aims

Cardiac dysfunction in coronavirus disease-19 (COVID-19) has been reported during acute phase but serial changes have not been well studied. To determine serial changes in type and severity of echocardiographic left and right heart functions we performed a prospective study.

Methods and results

Successive COVID-19 patients at discharge from the hospital from June to December 2020 were enrolled. Clinical details were obtained and echocardiography was performed using Philips IE33X-Matrix. Follow-up evaluation was performed after 3 months. In total, 1789 COVID-19 patients were evaluated. Baseline echocardiography was performed in 1000 eligible patients (men 611, women 389). Mean age was 50.2 ± 15 years, hypertension was in 44.0%, diabetes in 49.4%, and coronary disease in 10.8%. COVID-19 was mild in 47.0%, moderate in 39.5%, and severe in 13.5%. Baseline cardiac parameters were more impaired in severe vs. moderate or mild COVID-19. At 3 months, in 632 patients where baseline and follow-up data were available, decline was observed in select left [left ventricular internal diameter in diastole +0.9 ± 0.2 mm, left atrial volume +7.6 ± 0.1 mL/m², mitral E/e′ +4.8 ± 0.1, and left ventricular ejection fraction (LVEF) −3.7 ± 0.2%] and right [right ventricular internal diameter in diastole +2.1 ± 0.1 mm, right atrial internal dimension +1.6 ± 0.1 mm, tricuspid V_max +1.0 ± 0.1 cm, and tricuspid annulus plane systolic excursion (TAPSE) −2.7 ± 0.2 mm] heart variables (P < 0.001). Compared to mild COVID-19, decline was significantly greater in moderate/severe disease, LVEF −1.1 ± 0.3 vs. −3.8 ± 0.3%; mitral E/e′ +3.2 ± 0.1 vs. +4.8 ± 0.1, tricuspid V_max +0.3 ± 0.1 vs. +1.0 ± 0.1 cm, and TAPSE −0.7 ± 0.2 vs. −2.7 ± 0.2 mm (P < 0.001).

Conclusion

This study shows impaired cardiac functions in severe and moderate COVID-19 compared to mild at hospital discharge and progressive decline in left and right heart functions at 3 months. Impairment is significantly greater in patients with moderate to severe disease.

Low yield but high levels of multidrug resistance in urinary tract infections in a tertiary hospital, Nepal

SETTING

There are concerns about the occurrence of multidrug resistance (MDR) in patients with urine tract infections (UTI) in Nepal.

OBJECTIVE

To determine culture positivity, trends in MDR among Escherichia coli and Klebsiella pneumoniae infections and seasonal changes in culture-positive UTI specimens isolated from 2014 to 2018 at the B P Koirala Institute of Health Sciences, Dharan, Eastern Nepal.

DESIGN

This was a cross-sectional study using secondary laboratory data.

RESULTS

Among 116,417 urine samples tested, 19,671 (16.9%) were culture-positive, with an increasing trend in the number of samples tested and culture positivity. E. coli was the most common bacteria (54.3%), followed by K. pneumoniae (8.8%). Among E. coli and K. pneumoniae isolates, MDR was found in respectively 42.5% and 36.0%. MDR was higher in males and people aged >55 years, but showed a decreasing trend over the years. The numbers of isolates increased over the years, with a peak always observed from July to August.

CONCLUSION

Low culture positivity is worrying and requires further work into improving diagnostic protocols. Decreasing trends in MDR are a welcome sign. Information on seasonal changes that peak in July-August can help laboratories better prepare for this time with adequate buffer stocks to ensure culture and antibiotic susceptibility testing.

Hematopoietic Stem Cell Transplant for Hematological Malignancies: Experience from a Tertiary Care Center in Northern India and Review of Indian Data

Hematopoietic stem cell transplantation (HSCT) is the preferred treatment for high-risk and relapsed/refractory hematological malignancies. Moreover, with the improved supportive care and increasing acceptance of haploidentical transplantations as an alternative treatment modality, more patients are opting for HSCT as a definite treatment for hematological malignancies. We report here the real-world data and outcome of HSCT done for hematological malignancies at our transplant center. Five hundred and sixteen patients underwent HSCT from August 2010 to November 2019. The most common indications for allogeneic and autologous HSCT were acute myeloid leukemia and multiple myeloma, respectively. The 5-year overall survival and disease-free survival for all transplants were 65% and 33%, respectively. Though outcome of matched sibling donor allogeneic transplant is better than haploidentical donor (HID) transplant, patients having only HID can still be considered for allogeneic HSCT for high-risk diseases. The most common cause of death was infections followed by relapse of the disease.

Guided and unguided de-escalation from potent P2Y12 inhibitors among patients with ACS: a meta-analysis

Background

Dual antiplatelet therapy (DAPT) with a potent P2Y12 inhibitor is recommended in patients with acute coronary syndrome (ACS) and should be tailored according to ischemic and bleeding risks, which are highest in the acute phase, and gradually attenuate overtime. De-escalation strategies of DAPT aim to optimize this balance of risks.

Purpose

We compared guided or unguided DAPT de-escalation strategies from potent P2Y12 inhibitors to either clopidogrel or lower doses of potent P2Y12 inhibitors versus standard DAPT with potent P2Y12 inhibitors among patients with ACS.

Methods

PubMed, Google Scholar and Cochrane Central Register of Controlled Trials were searched from inception till March 10th 2021. 1633 records were screened on DAPT de-escalation strategies after ACS for inclusion. Aspirin monotherapy and non-randomized trials were excluded.

The primary endpoint was BARC ≥2 bleeding. Other endpoints included MACE (defined according to the definitions reported in the original study protocols), all-cause death, cardiovascular death, myocardial infarction, stent thrombosis, and stroke. Hazard ratios (HRs) and 95% CIs were used as metric of choice for treatment effects with random-effects models. Heterogeneity was assessed with the I2 index. We assessed the interaction between de-escalation strategy (guided vs. unguided) and treatment with a random-effects meta-regression analysis with the empirical Bayes method. This study has been submitted to PROSPERO for registration.

Preliminary findings

Four randomised trials and a total of 8,082 patients randomly allocated to a de-escalation strategy (genetic guided to clopidogrel, n=1,242; platelet function guided to clopidogrel, n=1,304; unguided to clopidogrel (n=323); unguided to lower dose, n=1,170) or standard DAPT (n=4,043) were included in our analysis. De-escalation strategy had a reduction in BARC ≥2 bleeding (HR 0.57, 95% CI 0.37–0.89; I2=81%). MACE (HR 0.79, 95% CI 0.62–1.02; I2=0%), all-cause death (HR 0.89, 95% CI 0.58–1.36), cardiovascular death (HR 0.63, 95% CI 0.36–1.10; I2=0%), myocardial infarction (HR 0.81, 95% CI 0.56–1.17; I2=0%), stent thrombosis (HR 0.57, 95% CI 0.19–1.74; I2=0%) and stroke (HR 0.73, 95% CI 0.39–1.35; I2=0%) did not differ between patients with a de-escalation strategy and those without. Meta-regression analysis did not show any significant interaction between de-escalation method (guided vs. unguided) and treatment effects, except for BARC ≥2 bleeding (P interaction = 0.070), suggesting a greater reduction with unguided de-escalation.

Conclusion

A de-escalation strategy of DAPT after ACS was associated with a lower number of clinically relevant bleeding events, mostly in patients who underwent unguided de-escalation, while no association with increased ischemic events was found. However, the observed broad confidence intervals limit the certainty of our findings.

Funding Acknowledgement

Type of funding sources: None. BARC ≥2 bleedingMACE

Ticagrelor monotherapy after percutaneous coronary intervention in patients with concomitant diabetes mellitus and chronic kidney disease: a TWILIGHT substudy

Background

Diabetes mellitus (DM) and chronic kidney disease (CKD) are established risk factors for cardiovascular events, with patients presenting both conditions being at extremely high risk. P2Y12 inhibitor monotherapy with ticagrelor after a short course of dual antiplatelet therapy has emerged as a bleeding avoidance strategy for high-risk patients undergoing percutaneous coronary intervention (PCI).

Purpose

To investigate ischemic and bleeding outcomes associated with ticagrelor monotherapy versus ticagrelor plus aspirin according to the presence or absence of CKD and DM.

Methods

The TWILIGHT trial enrolled patients undergoing PCI with a drug-eluting stent who fulfilled at least one clinical and one angiographic high-risk criterion. Both DM and CKD (estimated glomerular filtration rate &lt;60 mL/min/1.73m2) were clinical study entry criteria. Following 3 months of ticagrelor plus aspirin, patients who had been adherent to treatment and free from major adverse events were randomly assigned to either aspirin or placebo in addition to ticagrelor for 1 year. The primary endpoint was Bleeding Academic Research Consortium (BARC) type 2, 3 or 5 bleeding. The key secondary endpoint was the composite of all-cause death, myocardial infarction, or stroke. Net adverse clinical events (NACE) were defined as BARC type 3 or 5 bleeding, all-cause death, myocardial infarction, or stroke.

Results

Of the 6273 patients included in the analysis, 8.0% had both CKD and DM (DM+/CKD+), 8.9% had CKD only (DM-/CKD+), 29.0% had DM only (DM+/CKD-), and 52.1% had neither CKD nor DM (DM-/CKD-). At 1-year follow-up, there was a progressive increase in the rates of bleeding and ischemic events according to DM and CKD status (Figure 1). Ticagrelor plus placebo reduced the primary bleeding endpoint as compared with ticagrelor plus aspirin across all study groups, including DM+/CKD+ patients (4.7% vs. 8.7%; HR 0.52, 95% CI 0.25–1.07), with no evidence of heterogeneity (p-interaction=0.68). Similar treatment effects of ticagrelor monotherapy were observed for major BARC type 3 or 5 bleeding (p-interaction=0.17), with DM+/CKD+ patients showing the greatest absolute risk reduction (0.9% vs. 5.1%; HR 0.16, 95% CI 0.04–0.72). The key secondary endpoint was not significantly different between treatment arms across study groups, with the exception of a reduced risk in DM+/CKD- patients receiving ticagrelor monotherapy (p-interaction=0.033). A similar pattern in the DM+/CKD- group was observed for NACE (p-interaction=0.030) (Figure 2).

Conclusions

Among high-risk patients undergoing PCI, ticagrelor monotherapy reduced the risk of clinically relevant and major bleeding without a significant increase in ischemic events as compared with ticagrelor plus aspirin, irrespective of the presence of DM and CKD. Furthermore, ticagrelor monotherapy seemed to be associated with a more favourable net benefit in patients with DM without CKD.

Funding Acknowledgement

Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Investigator-initiated grant from AstraZeneca Figure 1. Event rates according to DM/CKD statusFigure 2. Effects of ticagrelor monotherapy

Spatiotemporal characteristics in systems of diffusively coupled excitable slow-fast FitzHugh-Rinzel dynamical neurons

In this paper, we study an excitable, biophysical system that supports wave propagation of nerve impulses. We consider a slow-fast, FitzHugh-Rinzel neuron model where only the membrane voltage interacts diffusively, giving rise to the formation of spatiotemporal patterns. We focus on local, nonlinear excitations and diverse neural responses in an excitable one- and two-dimensional configuration of diffusively coupled FitzHugh-Rinzel neurons. The study of the emerging spatiotemporal patterns is essential in understanding the working mechanism in different brain areas. We derive analytically the coefficients of the amplitude equations in the vicinity of Hopf bifurcations and characterize various patterns, including spirals exhibiting complex geometric substructures. Furthermore, we derive analytically the condition for the development of antispirals in the neighborhood of the bifurcation point. The emergence of broken target waves can be observed to form spiral-like profiles. The spatial dynamics of the excitable system exhibits two- and multi-arm spirals for small diffusive couplings. Our results reveal a multitude of neural excitabilities and possible conditions for the emergence of spiral-wave formation. Finally, we show that the coupled excitable systems with different firing characteristics participate in a collective behavior that may contribute significantly to irregular neural dynamics.

Energy and carbon budgeting of traditional land use change with groundnut based cropping system for environmental quality, resilient soil health and farmers income in eastern Indian Himalayas

Energy intensive traditional cereals based monoculture often lead to high greenhouse gas emissions and degradation of land and environmental quality. Present study aimed at evaluating the energy and carbon budget of diversified groundnut (Arachis hypogea L) based cropping system with over existing traditional practice towards the development of a sustainable production technology through restoration of soil and environmental quality and enhancement of farming resiliency by stabilizing farmers' income. The trials comprised of three introduced groundnut based systems viz. groundnut- pea (Pisum sativum), groundnut-lentil (Lens esculenta) and groundnut-toria (Brasssica campestris var. Toria) replacing three existing systems viz. maize (Zea mays L) - fallow, maize - toria, and rice (Oryza sativa L)-fallow systems. Four years study revealed that adoption of groundnut based systems reduced non-renewable energy input use (fertilizers, chemical, machinery and fossil fuels) by 25.5%, consequently that reduced the cost of production. Repeated analysis of variance measurement also affirmed that groundnut based systems (groundnut-pea>groundnut-lentil> groundnut-toria) increased the energy use efficiency, energy productivity, carbon use efficiency, net returns and decreased the specific energy and energy intensiveness. Groundnut based systems increased the mean system productivity and water productivity in terms of groundnut equivalent yield by 3.7 and 3.1 folds over existing practice. The savings of fossil fuel reduced greenhouse gas emissions owing to reduced use of farm machinery and synthetic fertilizers. Groundnut based systems significantly (p < 0.05) enhanced the soil carbon concentration (8.7-18.1%) and enzymatic activities (27.1-51.8%) over existing practice. Consequently, estimated soil quality index values were 35.9-77.3% higher under groundnut based systems than existing practice. Thus, the study indicated the resilient nature of groundnut based systems as an environmentally safe and sustainable production technology for enhancing resource use efficiency, reduce carbon emission, energy intensiveness and cost of production in the Eastern Himalaya region of India and similar ecosystems.

Outcomes of COVID-19 in Hematopoietic Stem Cell Transplant Recipients: Multicenter Retrospective Analysis

COVID-19, caused by the severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), was declared a pandemic by the World Health Organization on March 9, 2020. Hematopoietic stem-cell transplantation (HSCT) recipients may be highly susceptible to infection and related pulmonary complications due to nascent immune systems or organ damage from treatment-related toxicities. Poor outcomes in such group of patients were linked to older age, steroid therapy at the time of COVID-19 infection, and COVID-19 infection within a year of HSCT. We studied a cohort of 28 hematopoietic stem cell transplant recipients (male 17, M:F ratio of 1.5) with COVID-19 infection from 1st June 2020, through 31st December 2020 for outcome. Fever was the most common symptom at the time of presentation in 22 (78.5%) patients. Mortality rate at Day 28 and Day 42 was found to be 4/28 (14.3%) and 7/28 (25%) respectively. Patients within one year of HSCT and severe infection had higher day 28 mortality (with p values = 0.038)". There was no relation of mortality with type of transplant.

Primary and secondary resistance mechanisms in first, second and third generation tyrosine kinase inhibitors in EGFR mutant non-small cell lung cancer patients

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Background: Different molecular mechanisms of on target and off target primary and secondary resistance have been observed in EGFR mutant NSCLC patients after first(1st), second(2nd) and third (3rd) generation of tyrosine kinase inhibitors(TKIs). Next generation sequencing(NGS) offers a comprehensive method of detecting these mechanisms to decide next line of treatment. Methods: We retrospectively analyzed 430 samples of NSCLC for primary and secondary resistance to 1st, 2nd and 3rd TKIs. NGS was performed using thermofischer Ion Torrent Oncomine Focus 52 gene Assay. These cases were divided into 4 groups.1)Primary resistance to first and second generation TKIs 2)Primary resistance to 3rd generation TKI 3)Secondary resistance to 1st and 2nd generation TKI 4) Secondary resistance to 3rd generation TKI.Last group was further subgrouped into A when 3rd generation TKI was offered as second line after 1st or 2nd generation TKIs on detection of T790M and subgroup B when it was given as first line. Results: Group1 had 13 cases. There were 2 cases of complex EGFR exon 19 mutation p.Glu746_Leu747delinsValPro, 4 cases of EGFR exon 20 insertion, 1 case of dual EGFR L833V & H835L mutation, 2 cases with EGFR amplification with EGFR exon 19 del and PIK3CA C420_P421del along with EGFR exon 19 del. Four cases had no additional abnormality. Group 2 had 5 cases:1 case had L858R and E709A dual mutation, 2 cases had KRAS G13C and KRAS G12V along with EGFR exon 19 del. One case had EGFR amplification and one case had MET amplification along with EGFR exon 19 del respectively.Group 3 had 34 cases including 10 cases of EGFR L858R and 24 cases of exon 19 deletion.T790M mutation was detected in 8 patients, MET amplification in 7 cases,one case had both T790M and MET amplification. One case lost the primary EGFR exon 19 del. Others mutations detected were KRAS G13C, PIK3CA H1047R, TP53 R213Q and TP53 C242fs. Group3 had 15 cases with 7 cases in subgroup A and 9 cases in subgroup B. In subgroup A T790M mutation was lost in 6 out of 7 cases.One case which lost T790M developed ALK translocation.One case of EGFR exon 19 del retained EGFR T790M with EGFR C797S in cis allele. Other mutations detected were PIK3CA E542K and KRAS G12C. In subgroup B one case showed EGFR C797S(both cis and trans) besides the primary EGFR exon 19 del. One case showed BRAF G469A along with EGFR exon 19 del. Other mutations detected were CTNNB1 D32N, KRAS G12V, and PIK3CA E542K. Conclusions: Primary and secondary acquired resistance is unavoidable in EGFR mutant advanced NSCLC on any generation of TKIs. NGS offers an advantage in diagnosing mechanism of resistance for further choice of therapy.

Complete mitogenome of endemic plum-headed parakeet Psittacula cyanocephala - characterization and phylogenetic analysis

Psittacula cyanocephala is an endemic parakeet from the Indian sub-continent that is widespread in the illegal bird trade. Previous studies on Psittacula parakeets have highlighted taxonomic ambiguities, warranting studies to resolve the issues. Since the mitochondrial genome provides useful information concerning the species evolution and phylogenetics, we sequenced the complete mitogenome of P. cyanocephala using NGS, validated 38.86% of the mitogenome using Sanger Sequencing and compared it with other available whole mitogenomes of Psittacula. The complete mitogenome of the species was 16814 bp in length with 54.08% AT composition. P. cyanocephala mitogenome comprises of 13 protein-coding genes, 2 rRNAs and 22 tRNAs. P. cyanocephala mitogenome organization was consistent with other Psittacula mitogenomes. Comparative codon usage analysis indicated the role of natural selection on Psittacula mitogenomes. Strong purifying selection pressure was observed maximum on nad1 and nad4l genes. The mitochondrial control region of all Psittacula species displayed the ancestral avian CR gene order. Phylogenetic analyses revealed the Psittacula genus as paraphyletic nature, containing at least 4 groups of species within the same genus, suggesting its taxonomic reconsideration. Our results provide useful information for developing forensic tests to control the illegal trade of the species and scientific basis for phylogenetic revision of the genus Psittacula.

Morpho-molecular and mating-type locus diversity of Ustilaginoidea virens: an incitant of false smut of rice from Southern parts of India

AIMS

To characterize the geo-distinct isolates of Ustilaginoidea virens for morpho-molecular and mating-type locus diversity.

METHODS AND RESULTS

Sixty-one isolates of U. virens collected from Southern India exhibited significant diversity in mycelial width (3·45-5·50 µm), colony colour (yellow, pale yellow, and white), and growth pattern (thick leather mat, raised-fluffy, flat-fluffy, and raised). Field-borne chlamydospores of each isolate were significantly smaller in size (3·34-5·26 µm² ) compared to those formed on culture media (18·6-100·89 µm² ). The phylogenetic study based on internal transcribed sequences revealed two clusters; however, most isolates (n = 54) were grouped in cluster-I, indicating common ancestral origin. We also identified 42 haplotypes; among them, Hap_3 has the highest number of isolates (n = 19). Mating-type locus (MAT1) analysis revealed all sixty-one isolates as heterothallic, wherein 37 and 24 isolates belonging to MAT1-1-1 and MAT1-2-1 heterothallic mating types, respectively. The microsynteny analysis of MAT1 loci of one of the Indian strain (Uv-Gvt) along with Uv-8b (China) strain revealed synteny conservation at MAT1 locus, which is flanked by conserved genes SLA2 and a hypothetical protein in the upstream and APN2, COX12 and APC5 in the downstream of the locus.

CONCLUSIONS

Morpho-molecular study revealed the significant diversity among geo-distinct isolates, and MAT1 loci analysis indicated the distribution of heterothallic mating types in south Indian paddy fields. And also, complete synteny conservation between Indian and Chinese strain was observed at the MAT1 locus.

SIGNIFICANCE AND IMPACT OF THE STUDY

This is the first report describing the sexuality of Indian strains of the U. virens, which would help better understand the genetic diversity of the U. virens prevailing in Southern India and aid in developing resistant rice cultivars against this pathogen population.