COVID-19 vaccination status should not be used in triage tie-breaking

This article discusses the triage response to the COVID-19 delta variant surge of 2021. One issue that distinguishes the delta wave from earlier surges is that by the time it became the predominant strain in the USA in July 2021, safe and effective vaccines against COVID-19 had been available for all US adults for several months. We consider whether healthcare professionals and triage committees would have been justified in prioritising patients with COVID-19 who are vaccinated above those who are unvaccinated in first-order or second-order triage. Given that lack of evidence for a correlation between short-term survival and vaccination, we argue that using vaccination status during first-order triage would be inconsistent with accepted triage standards. We then turn to notions of procedural fairness, equity and desert to argue that that there is also a lack of justification for using vaccination status in second-order triage. In planning for future surges, we recommend that medical institutions base their triage decisions on principles meant to save the most lives, minimise inequity and protect the public’s trust, which for the time being would not be served by the inclusion of vaccination status.

Genomic Distribution of Sars-Cov-2 Variants - A Tertiary Care Hospital Experience

By 2019 December saw a deadly virus starting to spread across wuhan city in china and started to spread across the globe by 2020 and was named as SARS-CoV-2. The Covid-19 variant spreading in India, namely the Delta variant is found to be more contagious and has been classified as ‘being of concern’ by the World Health Organization. RTPCR positive samples from a tertiary care hospital were subjected to sequencing after fulfilling the criteria as per the standard protocol. Out of 70 samples sequenced, B.1.617.2, AY.4, AY.6, AY.12 & Delta like variants were detected. The Delta variant B.1.617.2 was found to be the predominant strain. The sub lineage of Delta variant strain like AY.6 (1.4%), AY.4 (12 %), AY.12 (14%) were also detected. Delta –like variant was found in 20% of the samples sequenced. The results of sequencing might help to understand the characteristics of the strains prevalent during second wave of SARS-CoV-2 and would be helpful to tackle further infection of COVID.

Pulmonary Thromboembolism and Pulmonary Fibrosis due to H1N1 Pneumonia with Acute Respiratory Distress Syndrome :: Not ALL is COVID

Novel influenza A H1N1 virus (pH1N1) was the predominant strain in the 2009 pandemic. It continues to circulate along with other influenza strains in the post pandemic era. This new virus is nevertheless well known for its strong association with high cardiovascular mortality and a high propensity to preferentially affect young and otherwise healthy adults, resulting in a clustering of severe and even fatal cases in patients of the productive age group. H1N1 infection is a multifaceted disease. It affects the lung parenchyma as well as the pulmonary vasculature. It also affects the multisystemic vasculature and can cause other embolic events not strictly falling in the “usual” thrombotic category. We herein present a case of H1N1 influenza pneumonia induced severe ARDS with pulmonary thromboembolism (PTE) and pulmonary fibrosis.

Molecular Epidemiology of Human Sapovirus Among Children with Acute Gastroenteritis in Western Canada

Objectives: Sapovirus is increasingly recognized as an important cause of acute gastroenteritis (AGE) worldwide, however studies of prevalence, genetic diversity and strain-specific clinical implications have been scarce. Methods: To fill this knowledge gap, we used reverse transcription real-time PCR and sequencing of the partial major capsid protein VP1 gene to analyze stool specimens and rectal swabs obtained from 3347 children with AGE and 1355 asymptomatic controls (all <18 years old) collected between December 2014 and August 2018 in Alberta, Canada. Results: Sapovirus was identified in 9.5% (317/3347) of the children with AGE and 2.9% of controls. GI.1 (36%) was the predominant genotype identified, followed by GI.2 (18%), GII.5 (8%) and GII.3 (6%). Rare genotypes GII.1, GII.2, GV.1, GII.4, GIV.1, GI.3 and GI.7 were also seen. Sapovirus was detected year-round, peaking during the winter months of November to January. The exception was the 2016-2017 season when GI.2 overtook GI.1 as the predominant strain with a high detection rate persisting into April. We did not observe significant difference in the severity of gastroenteritis by genogroup or genotype. Repeated infection by sapovirus of different genogroups occurred in three controls who developed AGE later. Conclusions: Our data suggests that sapovirus is a common cause of AGE in children with high genetic diversity.

Effectiveness of COVID-19 vaccines against the B.1.617.2 variant

Background: The B.1.617.2 COVID-19 variant has contributed to the surge in cases in India and has now been detected across the globe, including a notable increase in cases in the UK. We estimate the effectiveness of the BNT162b2 and ChAdOx1 COVID-19 vaccines against this variant. Methods: A test negative case control design was used to estimate the effectiveness of vaccination against symptomatic disease with both variants over the period that B.1.617.2 began circulating with cases identified based on sequencing and S-gene target status. Data on all symptomatic sequenced cases of COVID-19 in England was used to estimate the proportion of cases with B.1.617.2 compared to the predominant strain (B.1.1.7) by vaccination status. Results: Effectiveness was notably lower after 1 dose of vaccine with B.1.617.2 cases 33.5% (95%CI: 20.6 to 44.3) compared to B.1.1.7 cases 51.1% (95%CI: 47.3 to 54.7) with similar results for both vaccines. With BNT162b2 2 dose effectiveness reduced from 93.4% (95%CI: 90.4 to 95.5) with B.1.1.7 to 87.9% (95%CI: 78.2 to 93.2) with B.1.617.2. With ChAdOx1 2 dose effectiveness reduced from 66.1% (95% CI: 54.0 to 75.0) with B.1.1.7 to 59.8% (95%CI: 28.9 to 77.3) with B.1.617.2. Sequenced cases detected after 1 or 2 doses of vaccination had a higher odds of infection with B.1.617.2 compared to unvaccinated cases (OR 1.40; 95%CI: 1.13-1.75). Conclusions: After 2 doses of either vaccine there were only modest differences in vaccine effectiveness with the B.1.617.2 variant. Absolute differences in vaccine effectiveness were more marked with dose 1. This would support maximising vaccine uptake with two doses among vulnerable groups.

Molecular Epidemiological Analysis of the Origin and Transmission Dynamics of the HIV-1 CRF01_AE Sub-Epidemic in Bulgaria

HIV-1 subtype CRF01_AE is the second most predominant strain in Bulgaria, yet little is known about the molecular epidemiology of its origin and transmissibility. We used a phylodynamics approach to better understand this sub-epidemic by analyzing 270 HIV-1 polymerase (pol) sequences collected from persons diagnosed with HIV/AIDS between 1995 and 2019. Using network analyses at a 1.5% genetic distance threshold (d), we found a large 154-member outbreak cluster composed mostly of persons who inject drugs (PWID) that were predominantly men. At d = 0.5%, which was used to identify more recent transmission, the large cluster dissociated into three clusters of 18, 12, and 7 members, respectively, five dyads, and 107 singletons. Phylogenetic analysis of the Bulgarian sequences with publicly available global sequences showed that CRF01_AE likely originated from multiple Asian countries, with Vietnam as the likely source of the outbreak cluster between 1988 and 1990. Our findings indicate that CRF01_AE was introduced into Bulgaria multiple times since 1988, and infections then rapidly spread among PWID locally with bridging to other risk groups and countries. CRF01_AE continues to spread in Bulgaria as evidenced by the more recent large clusters identified at d = 0.5%, highlighting the importance of public health prevention efforts in the PWID communities.

Differences in Illness Severity among Circulating Norovirus Genotypes in a Large Pediatric Cohort with Acute Gastroenteritis

Norovirus is a major pathogen identified in children with acute gastroenteritis (AGE), little is known about the strain’s diversity and their clinical severity. Stool and/or rectal swabs were collected from children ≤18 years of age recruited at emergency departments (ED), and a provincial nursing advice phone line due to AGE symptoms in the province of Alberta, Canada between December 2014 and August 2018. Specimens were tested using a reverse transcription real time PCR and genotyped by Sanger sequencing. The Modified Vesikari Scale score (MVS) was used to evaluate the disease severity. The objectives are to identify the Genogroup and Genotype distribution and to compare illness severity between the GI and GII genogroups and to complete further analyses comparing the GII genotypes identified. GII.4 was the genotype most commonly identified. Children with GII.4 had higher MVS scores (12.0 (10.0, 14.0; p = 0.002)) and more prolonged diarrheal (5 days (3.0, 7.8)) and vomiting (3.2 days (1.7, 5.3; p < 0.001)) durations compared to other non GII.4 strains. The predominant strain varied by year with GII.4 Sydney[P31] predominant in 2014/15, GII.4 Sydney[P16] in 2015/16 and 2017/18, and GII.3[P12] in 2016/17. Genogroup II norovirus strains predominated in children with AGE with variance between years; clinical severity associated with different strains varied with episodes being most severe among GII.4 infected children.

ENTEROPATHOGENIC ESCHERICHIA COLI STRAINSFROM DIARRHOEIC STOOLSAMPLES OF CHILDREN BELOW 5 YEARS OF AGE IN DAMATURU, YOBE STATE, NIGERIA

Enteropathogenic Escherichia coli (EPEC) is an important cause of deaths mostly in infants and young children with diarrhoea worldwide. This study investigated Enteropathogenic Escherichia coli strains in diarrhoeic stool samples of children below 5 years of age in Damaturu, Yobe State, Nigeria. Microscopy, culture and antibiotic susceptibility tests were carried out on stool specimens obtained from children with diarrhoea. All isolated Escherichia coli were investigated for virulence eae and eaf genes of EPEC strains using Polymerase Chain Reaction method. Information on risk factors of diarrhoea was obtained using the questionnaire. Out of 307 children, 154 (50.2%) were male and 153 (49.8%) female, majority 107 (34.9%) were 3 years old. A total of 175 (57.0%) Escherichia coli were isolated, 19 (10.9%) were identified to be enteropathogenic Escherichia coli of these, 17 (89.5%) were atypical (carries eae genes) while only 2 (10.5%) were typical (harbours eaf genes). Multidrug resistance was observed in some of the isolates, the EPEC were resistant to Reflacin (47.4%), Ciprofloxacin (36.8%), Augmentin (36.8%), Septrin (36.8%). The major factor that predispose children to diarrhoea are poor hygiene practices. Escherichia coli was the most prevalent bacterial causing diarrhoea and atypical EPEC is the predominant strain circulating among these children.

The Frequency of G614 SARS-CoV-2 Variant in India

As reported by us and others previously (1, 2), the D614G mutation appeared in the spike glycoprotein (SPG) of the SARS-CoV-2 (the pathogen behind COVID-19) at the early stages of the pandemic and then G614 containing variant of SARS-CoV-2 became the predominant strain in most human populations across the world. However, one of the most recent reports from India (3) stated the incidence of G614 to be only 26% in the Indian population. This report is contradictory to the information available through the GenBank (4) SARS-CoV-2 sequence deposits made by various laboratories from India. The above stated report currently circulating in the Indian media is likely to create a public perception that the Indian strain is less contagious and such a notion could be harmful to people&rsquo;s welfare. In view of this concern we have re-evaluated, updated and recalculated the incidence of the G614 variant in the Indian population by analyzing 395 Indian SARS-CoV-2 genomic sequences available in the GenBank as of June 26, 2020. In our analysis we have categorized the samples by the month in which the samples were collected. We have used an alignment-free software tool named Compare (5, 6), and the Basic Local Alignment Search Tool (BLAST) (7) in the present analysis. We finally inspected each of the 395 sequences physically for the presence of aspartic acid (D) or glycine (G) at the 614th position of the spike glycoprotein. We analyzed an Australian cohort in parallel for comparison. We have found that the prevalence of G614 variant in the Indian samples for the month of June 2020 is 90.6%. The trends are similar with the Australian samples.

Genotypic and antigenic study of SARS-CoV-2 from an Indian isolate

Coronaviruses (CoVs) are one of the largest groups of positive-sense RNA virus families within the Nidovirales order, which are further classified into four genera: alpha, beta, gamma, and delta. Coronaviruses have an extensive range of natural hosts and are known to be responsible for a broad spectrum of diseases in multiple species. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the ongoing coronavirus disease 2019 (COVID-19) that has unleashed a global threat to public health and the economy. Coronaviruses are extensively present in birds and mammals, with horseshoe bats (Rhinolophus affinis), being the reservoir for the ongoing SARS-CoV-2 that seems to have resulted from a zoonotic spillover to the human host, causing respiratory infections, lung injury and Acute Respiratory Distress Syndrome(ARDS). About six coronavirus serotypes are linked with the disease in humans, namely HCoV-229E, HCoV-NL63, HCoV-OC43, HCoV-HKU1, SARS-CoV, SARS-CoV-2, and MERS-CoV. SARS-CoV-2 is the seventh CoV to infect humans. We analyzed the genome sequence of CoV-2 from isolates derived from China as well from India and encountered minute variations in their sequence. A cladogram analysis revealed the predominant strain circulating in India belongs to the A2a clad. We took one such strain (MT012098) and performed a rigorous in-silico genotypic and antigenic analysis to identify its relatedness to other strains. Further, we also performed a detailed prediction for B and T cell epitopes using BepiPred 2.0 server and NetCTL 1.2 server (DTU Bioinformatics), respectively. We hope this information may assist in an effective vaccine designing program against SARS-CoV-2.