SARS-CoV-2 antibodies cross-react and enhance dengue infection (preprint)

Dengue disease is highly prevalent in tropical and subtropical regions worldwide. However, its pathogenesis is still incompletely understood, particularly in comparison to other endemic viruses. Antibody-dependent enhancement (ADE) is a well-known phenomenon for dengue viruses. Given the recent surge in dengue cases and potential cross-reactivity with SARS-CoV-2 antibodies, this study explores the impact of anti-SARS-CoV-2 antibodies on DENV-2 infection. The study assessed the cross-reactivity of SARS-CoV-2 antibodies with the DENV-2 Virus. Human convalescent plasma samples collected during different waves of COVID-19 and monoclonal and polyclonal antibodies raised against SARS-CoV-2 were examined for their potential to cause ADE of DENV-2 infection using cell-based assays. The study found that anti-SARS-CoV-2 antibodies acquired from natural infection in humans or through experimental immunization in animals were cross-reactive with DENV-2 and had the potential to enhance DENV-2 infection in K562 and U937 cells. In-silico and in-vitro studies indicated a strong interaction between SARS-CoV-2 antibodies and DENV-2 E-protein, providing a molecular basis for these findings. This study is the first to demonstrate that anti-SARS-CoV-2 antibodies can cross-react with DENV-2 and can enhance its infection through ADE. These findings have implications for SARS-CoV-2 vaccine development and deployment strategies in regions where dengue is endemic.

Perception and Awareness About COVID-19 Pandemic Among Children Visiting a Tertiary Care Centre.

Children between 8-12 years of age attending the institution between May and September, 2022 were enrolled, and their knowledge and perception of COVID-19 evaluated by asking them to draw a diagram of SARS-CoV-2, and by getting their responses on a multiple-choice written questionnaire. Majority had correct knowledge regarding the mode of spread of virus (n=91), safe practices (n=91) and prevention by vaccine (n=69).

Mental health of health care workers during the hour of crisis - A study from tertiary care hospital in North India.

Background and Aims: This cross-sectional study aimed to analyze the psychosocial, behavioral, and sleep impact of coronavirus disease-19 (COVID-19) pandemic on healthcare workers (HCWs) at a tertiary-care hospital in Northern India. Materials and Methods: An online questionnaire including three psychological scales - peritraumatic distress inventory (PDI), insomnia Severity Index (ISI), and Depression anxiety stress scale was circulated among the HCWs at a tertiary-care hospital in Northern India. Results: Three hundred and ninety-six HCWs (Mean age standard deviation: 34.8 [8.1%] years; 181 females) responded. Place of posting was active COVID area (27.2%), reserve active COVID team (23.2%), trained reserve pool (29.5%), and non-COVID areas (19.9%). More than half of all the respondents (51%) had abnormal PDI score (>14) with a propensity to develop posttraumatic stress disorder. Furthermore, there was a significantly higher prevalence of abnormal PDI scores in those involved in active COVID care units (74%) versus non-COVID care unit (24%, P = 0.001). More than 60% of all the respondents had abnormal ISI score suggesting significant insomnia. Stress was seen in 71% of all the respondents while 82% were anxious and 77% participants had depressive symptoms. Hence, the psychological morbidity among the HCWs was high. Conclusion: Our study found a much higher prevalence of peritraumatic distress, insomnia, anxiety, stress, and depression among the HCWs, more so in those working in COVID areas. Factors indigenous to Indian population in terms of psychological health must be studied and addressed to reduce this psychological morbidity since the battle with COVID is long.

Dealing with infodemic during COVID-19 pandemic: Role of effective health communication in facilitating outbreak response & actions - An ICMR experience.

Objectives: To highlight and assess the impact of intervention tools used by Indian Council of Medical Research (ICMR) against COVID19 associated infodemic in the world's largest democratic country, India. Study design: It is a retrospective cross sectional study. The impact of ICMR's multi-pronged strategy to address the infodemic during pandemic has been assessed through analysis of print media reportage and social media engagements. Methods: The impact of the interventions was assessed using cloud media mappers like MediaCloud and Meltwater using keywords. The data was analysed in terms of reportage, theme of reportage. A sub-section of media reportage (Feb 2020-June 2020) was analysed in details from 4 major dailies to understand the coverage and tonality of media reports. The data on COVID 19 related tweets, posts and uploads were taken from social media platforms of Indian Council of Medical Research (ICMR) particularly twitter, instagram, facebook and youtube and estimate of pre and post pandemic changes in followers or users were collected for analysis. The data was curated and analysed using MS excel. Results: There was a surge of 3800% reportage in media during pandemic as compared to same time frame in pre-pandemic times. A surge of followers on twitter from 26,823 on Feb 2020 (before pandemic) to 3,36,098 at March 2022 (after pandemic) was observed. A drastic increase in monthly followers was observed after start of Pandemic (after Feb 2020) in comparison to before pandemic (Before Feb 2020). Similar trends were observed on other social media platforms of ICMR. Conclusions: The Communications Unit at ICMR geared up with more robust plans and designed several interventions to mitigate the infodemic which helped in evidence based decision making towards outbreak response and action. This highlights the importance of evidence based, crisp, timely and effective communication during the epidemics/pandemics to buid trust and confidence in the community.

Clinical Features of COVID-19 in Patients with Congenital Central Hypoventilation Syndrome.

Background: The clinical course of COVID-19 in patients with congenital central hypoventilation syndrome (CCHS) is unknown. Methods: We conducted a cross-sectional questionnaire study in 43 patients with CCHS who had COVID-19. Results: The median age of patients was 11 [interquartile range (IQR) 6-22] years and 53.5% required assisted ventilation (AV) through tracheostomy. Disease severity ranged from asymptomatic infection (12%) to severe illness with hypoxemia (33%) and hypercapnia requiring emergency care/hospitalization (21%), increased AV duration (42%), increased ventilator settings (12%), and supplemental oxygen demand (28%). The median duration to return to baseline AV (n = 20) was 7 (IQR 3-10) days. Patients with polyalanine repeat mutations required increased AV duration compared with those with nonpolyalanine repeat mutations (P = 0.048). Patients with tracheostomy required increased oxygen during illness (P = 0.02). Patients aged ≥18 years took longer to return to baseline AV (P = 0.04). Conclusions: Our study suggests that all patients with CCHS should be vigilantly monitored during COVID-19 illness.

Utility and timing of the ROX index in the prediction of high flow oxygen therapy failure in acute hypoxemic respiratory failure of infective etiology: a prospective observational study.

During and following the COVID-19 pandemic, the world has witnessed a surge in high-flow oxygen therapy (HFOT) use. The ability to provide high oxygenation levels with remarkable comfort levels has been the grounds for the same. Despite the advantages, delay in intubation leading to poor overall outcomes has been noticed in subgroup of patients on HFOT. ROX index has been proposed to be a useful indicator to predict HFOT success. In this study, we have examined the utility of the ROX index prospectively in cases of acute hypoxemic respiratory failure (AHRF) due to infective etiologies. Seventy participants were screened, and 55 were recruited for the study. The majority of participants were males (56.4%), with diabetes mellitus being the most common comorbidity (29.1%). The mean age of the study subjects was 46.27±15.6 years. COVID-19 (70.9%) was the most common etiology for AHRF, followed by scrub typhus (21.8%). Nineteen (34.5%) experienced HFOT failure and 9 (16.4%) subjects died during the study period. Demographic characteristics did not differ between either of the two groups (HFOT success versus failure and survived group versus expired group). ROX index was significantly different between the HFOT success versus failure group at baseline, 2, 4, 6, 12 and 24 h. The best cut-off of ROX index at baseline and 2 h were 4.4 (sensitivity 91.7%, specificity 86.7%) and 4.3 (sensitivity 94.4% and specificity 86.7%), respectively. ROX index was found to be an efficient tool in predicting HFOT failure in cases with AHRF with infective etiology.

Outcome of patients with COVID pneumonia on high flow nasal oxygen therapy

Background & Aims: The coronavirus pandemic has caused a rapid surge in patients requiring intensive care unit (ICU) admission. The mainstay of treatment is supplemental oxygen therapy by an oxygen mask, nonrebreathing mask, high flow nasal oxygen therapy (HFNOT), non-invasive and invasive mechanical ventilation. HFNOT is a relatively newer, easy-to-use technique with better patient compliance. This study aimed to assess the outcome of HFNOT in Corona Virus disease (COVID) patients in ICU. Methods: This record based;retrospective study included 43 reverse transcriptase polymerase chain reaction (RTPCR) confirmed COVID patients whose respiratory support was initiated on HFNOT as per the inclusion criteria. The primary outcome of this study was to assess the number of patients requiring mechanical ventilation (HFNOT failure). The secondary outcome was to assess the association of HFNOT failure with age, co-morbidity index, and severity of illness. Results: Out of forty-three patients, twenty-five patients (58%) required conversion to mechanical ventilation. Eighteen patients (42%) were managed with HFNOT alone. HFNOT failure was more with increasing age and higher comorbidity score (p value<0.05). Conclusion: We concluded that HFNOT can be successfully used in COVID patients in ICU without the need for mechanical ventilation. However, it should be used cautiously in patients with higher 4C mortality scores.

Validity and reliability of sustainable supply chain management frameworks in Indian smart manufacturing industries

PurposeSustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries.Design/methodology/approachValidity and reliability analysis on the existing SSCM frameworks was carried out with the help of empirical data collected using questionnaire survey methodology from various Indian smart manufacturing organizations. The empirical data were gathered from various experts from top- and middle-level management in different smart manufacturing organizations across the country. Further, factor analysis was carried on the collected data to estimate the unidimensionality of each SSCM frameworks. Cronbach's alpha value was used to assess reliability of each framework. Subsequently, the frequency distribution analysis was done to obtain familiar elements in the segregated frameworks based on validity and reliability analysis.FindingsThe work observed that only five SSCM frameworks have shown unidimensionality in terms of the elements or constructs. The work further found that these segregated frameworks have not shown sufficiently high level of reliability. Additionally, this work attempted frequency distribution analysis and observed that there were very few elements which were being repeatedly used in numerous frameworks proposed by researchers. Based on the findings of this work, the work concluded that there is acute need of a new SSCM framework for Indian smart manufacturing industries.Research limitations/implicationsThis study gathered empirical data from 388 Indian smart manufacturing organizations. Thus, before generalizing the findings of the study across the sectors, there is a possibility of some more explication.Originality/valueThe main purpose of this article is to explore the feasibility of the existing SSCM frameworks in Indian smart manufacturing sector. The study also assumes that the manufacturing managers and executives may have the complete understanding on the existing sustainable manufacturing frameworks and a chance to executing proper suitable framework in the respective manufacturing organization.

Mortality analysis of COVID-19 cases during the second wave and its comparison with the first wave: A hospital-based study.

Objectives: This study was undertaken to determine the characteristics of COVID-19 deaths during the second wave and to compare these characteristics with the mortality during the first wave in a dedicated COVID hospital (DCH). Study Design: It was a hospital record-based descriptive study. Methodology: The study was conducted in a tertiary care COVID hospital, using a standard death audit proforma. The data were analyzed to know various demographic characteristics and factors related to mortality during the second wave from March to June 2021. The findings were compared with the mortality data during the first wave from April to July 2020 at the same hospital. Results: A total of 264 deaths occurred at the center during the study period with a mortality rate of 22.8%. Male cases were more in number, the age group was 21-70 years, the highest number of mortality was seen in the mid of the study period, duration of stay was five days on average and common causes of death were pneumonia alone or with acute respiratory distress syndrome with sepsis. In comparison to the first wave, the mortality rate was four times higher, the age group was younger and opportunistic infections viz. mucormycosis and aspergillosis were present during the second wave. Conclusion: The mortality rate was significantly higher and the younger age groups were involved during the second wave, with opportunistic fungal infections due to the use of immunomodulators.

Retraction Note: The prediction of the lifetime of the new coronavirus in the USA using mathematical models.

[This retracts the article DOI: 10.1007/s00500-021-05643-2.].

Public Health Importance of Emporiatrics: A Review.

People travel all around the world to explore, trade, sojourn, etc. Millions of individuals cross national and international borders. Travel medicine services are offered by general practitioners, specialized travel clinics, or immunization centers. Epidemiology, illness prevention, and travel-related self-treatment are all included in the interdisciplinary field of travel medicine. The main objective is to keep travelers alive and in good health, by reducing the effects of illness and accidents through preventative measures and self-care. The danger to a traveler's health and well-being must be understood, and the travel medicine practitioner's job is to help their patient or client recognize and manage those risks. The absence of any disease or symptom does not always indicate good health. Chronic illness sufferers, including those with cancer, diabetes, and hypertension, can maintain a reasonable level of health and mobility. Travel medicine is a rapidly developing, extremely dynamic, multidisciplinary field that calls for knowledge of a range of travel-related illnesses as well as current information on the global epidemiology of infectious and non-infectious health risks, immunization laws and requirements around the world, and the shifting trends in drug-resistant infections. Pre-travel consultation aims to reduce the traveler's risk of disease and harm while on the road through preventive counseling, education, recommended drugs, and essential vaccines. Specialized medical guidance can help reduce the potential health risks of travel. Emporiatrics is not only used for traveling advice or things to be done during the period of the journey but it also creates room in implementing the interdisciplinary subject with new methods or development of new policies, technologies, and various programs to reduce unnecessary problems of the travelers, which will boost tourism.

Innate Immune Recognition, Integrated Stress Response, Infection, and Tumorigenesis.

Engagement of PRRs in recognition of PAMPs or DAMPs is one of the processes that initiates cellular stress. These sensors are involved in signaling pathways leading to induction of innate immune processes. Signaling initiated by PRRs is associated with the activation of MyD88-dependent signaling pathways and myddosome formation. MyD88 downstream signaling depends upon the context of signaling initiation, the cell (sub)type and the microenvironment of signal initiation. Recognition of PAMPs or DAMPs through PRRs activates the cellular autonomous defence mechanism, which orchestrates the cell responses to resolve specific insults at the single cell level. In general, stressed endoplasmic reticulum is directly linked with the induction of autophagy and initiation of mitochondrial stress. These processes are regulated by the release of Ca2+ from ER stores accepted by mitochondria, which respond through membrane depolarization and the production of reactive oxygen species generating signals leading to inflammasome activation. In parallel, signaling from PRRs initiates the accumulation of misfolded or inappropriately post-translationally modified proteins in the ER and triggers a group of conserved emergency rescue pathways known as unfolded protein response. The cell-autonomous effector mechanisms have evolutionarily ancient roots and were gradually specialized for the defence of specific cell (sub)types. All of these processes are common to the innate immune recognition of microbial pathogens and tumorigenesis as well. PRRs are active in both cases. Downstream are activated signaling pathways initiated by myddosomes, translated by the cellular autonomous defence mechanism, and finalized by inflammasomes.

Renin-Angiotensin System Modulation With Synthetic Angiotensin (1-7) and Angiotensin II Type 1 Receptor-Biased Ligand in Adults With COVID-19: Two Randomized Clinical Trials.

Importance: Preclinical models suggest dysregulation of the renin-angiotensin system (RAS) caused by SARS-CoV-2 infection may increase the relative activity of angiotensin II compared with angiotensin (1-7) and may be an important contributor to COVID-19 pathophysiology. Objective: To evaluate the efficacy and safety of RAS modulation using 2 investigational RAS agents, TXA-127 (synthetic angiotensin [1-7]) and TRV-027 (an angiotensin II type 1 receptor-biased ligand), that are hypothesized to potentiate the action of angiotensin (1-7) and mitigate the action of the angiotensin II. Design, Setting, and Participants: Two randomized clinical trials including adults hospitalized with acute COVID-19 and new-onset hypoxemia were conducted at 35 sites in the US between July 22, 2021, and April 20, 2022; last follow-up visit: July 26, 2022. Interventions: A 0.5-mg/kg intravenous infusion of TXA-127 once daily for 5 days or placebo. A 12-mg/h continuous intravenous infusion of TRV-027 for 5 days or placebo. Main Outcomes and Measures: The primary outcome was oxygen-free days, an ordinal outcome that classifies a patient's status at day 28 based on mortality and duration of supplemental oxygen use; an adjusted odds ratio (OR) greater than 1.0 indicated superiority of the RAS agent vs placebo. A key secondary outcome was 28-day all-cause mortality. Safety outcomes included allergic reaction, new kidney replacement therapy, and hypotension. Results: Both trials met prespecified early stopping criteria for a low probability of efficacy. Of 343 patients in the TXA-127 trial (226 [65.9%] aged 31-64 years, 200 [58.3%] men, 225 [65.6%] White, and 274 [79.9%] not Hispanic), 170 received TXA-127 and 173 received placebo. Of 290 patients in the TRV-027 trial (199 [68.6%] aged 31-64 years, 168 [57.9%] men, 195 [67.2%] White, and 225 [77.6%] not Hispanic), 145 received TRV-027 and 145 received placebo. Compared with placebo, both TXA-127 (unadjusted mean difference, -2.3 [95% CrI, -4.8 to 0.2]; adjusted OR, 0.88 [95% CrI, 0.59 to 1.30]) and TRV-027 (unadjusted mean difference, -2.4 [95% CrI, -5.1 to 0.3]; adjusted OR, 0.74 [95% CrI, 0.48 to 1.13]) resulted in no difference in oxygen-free days. In the TXA-127 trial, 28-day all-cause mortality occurred in 22 of 163 patients (13.5%) in the TXA-127 group vs 22 of 166 patients (13.3%) in the placebo group (adjusted OR, 0.83 [95% CrI, 0.41 to 1.66]). In the TRV-027 trial, 28-day all-cause mortality occurred in 29 of 141 patients (20.6%) in the TRV-027 group vs 18 of 140 patients (12.9%) in the placebo group (adjusted OR, 1.52 [95% CrI, 0.75 to 3.08]). The frequency of the safety outcomes was similar with either TXA-127 or TRV-027 vs placebo. Conclusions and Relevance: In adults with severe COVID-19, RAS modulation (TXA-127 or TRV-027) did not improve oxygen-free days vs placebo. These results do not support the hypotheses that pharmacological interventions that selectively block the angiotensin II type 1 receptor or increase angiotensin (1-7) improve outcomes for patients with severe COVID-19. Trial Registration: ClinicalTrials.gov Identifier: NCT04924660.

Empirical Analysis of Impact of Weather and Air Pollution Parameters on COVID-19 Spread and Control in India Using Machine Learning Algorithm

The COVID-19 has affected and threatened the world health system very critically throughout the globe. In order to take preventive actions by the agencies in dealing with such a pandemic situation, it becomes very necessary to develop a system to analyze the impact of environmental parameters on the spread of this virus. Machine learning algorithms and artificial Intelligence may play an important role in the detection and analysis of the spread of COVID-19. This paper proposed a twinned gradient boosting machine (GBM) to analyze the impact of environmental parameters on the spread, recovery, and mortality rate of this virus in India. The proposed paper exploited the four weather parameters (temperature, humidity, atmospheric pressure, and wind speed) and two air pollution parameters (PM2.5 and PM10) as input to predict the infection, recovery, and mortality rate of its spread. The algorithm of the GBM model has been optimized in its four distributions for best performance by tuning its parameters. The performance of the GBM is reported as excellent (where R2 = 0.99) in training for the combined dataset comprises all three outcomes i.e. infection, recovery and mortality rates. The proposed approach achieved the best prediction results for the state, which is worst affected and highest variation in the atmospheric factors and air pollution level.

Evaluation of a Hospitalized Pediatric COVID-19 Cohort from Indian National Clinical Registry of COVID-19.

OBJECTIVE: To evaluate the factors associated with mortality of a multicentric cohort of hospitalized COVID-19 patients, 0-18 y old, from 42 centers across India. METHODS: The National Clinical Registry for COVID-19 (NCRC) is an on-going prospective data collection platform enrolling COVID-19 patients diagnosed by real-time PCR or rapid antigen test. The data are collected in prestructured e-capture forms. The sociodemographic, clinical, laboratory, and hospital outcome data from 1st September 2020 to 20th February 2022 were analyzed. RESULTS: Of the 1244 enrolled hospitalized COVID-19 patients aged 0-18 y, 98 and 124 were infants and neonates, respectively. Only 68.6% children were symptomatic at admission, with fever being the most common symptom. Diarrhea, rash, and neurological symptoms were also noted. At least 1 comorbidity was present in 260 (21%) children. The in-hospital mortality rate was 6.2% (n = 67), the highest in infants (12.5%). Altered sensorium (aOR: 6.8, CI: 1.9, 24.6), WHO ordinal scale ≥ 4 at admission (aOR: 19.6, CI: 8.0, 47.8), and malignancy (aOR: 8.9, 95% CI: 2.4, 32.3) were associated with higher odds of death. Malnutrition did not affect the outcome. Mortality rates were similar across the three waves of the pandemic, though a significant shift towards the under-five group was observed in the third wave. CONCLUSION: This multicentric cohort of admitted Indian children showed that the COVID-19 was milder in children than adults, and the pattern was consistent across all waves of the pandemic.

Management of chronic respiratory diseases during viral pandemics: A concise review of guidance and recommendations.

Coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an acute respiratory disease that can lead to respiratory failure and death. Although anticipated that patients with chronic respiratory diseases would be at increased risk of SARS-CoV-2 infection and more severe presentations of COVID-19, it is striking that these diseases appear to be underrepresented in the comorbidities reported for patients with COVID-19. The first wave of COVID-19 has taught us important lessons concerning the enormous burden on the hospitals, shortage of beds, cross infections and transmissions, which we coped together. However, with the subsequent waves of COVID-19 or any other viral pandemic, to ensure that patients with respiratory illnesses receive adequate management for their diseases while minimizing their hospital visits for their own safety. Hence, we prepared an evidence-based summary to manage outpatients and inpatients suspected or diagnosed with COPD, asthma and ILD based on the experience of the first wave of COVID-19 and recommendations by expert societies and organizations.