Impact of COVID-19 Severity on Long-term Events in US Veterans using the Veterans Affairs Severity Index for COVID-19 (VASIC).

In this retrospective cohort study of 94,595 SARS-CoV-2 positive cases, we developed and validated an algorithm to assess the association between COVID-19 severity and long-term complications (stroke, myocardial infarction, pulmonary embolism/deep vein thrombosis, heart failure, and mortality). COVID-19 severity was associated with a greater risk of experiencing a long-term complication days 31-120 post-infection. Most incident events occurred days 31-60 post-infection and diminished after day 91, except heart failure for severe patients and death for moderate patients, which peaked days 91-120. Understanding the differential impact of COVID-19 severity on long-term events provide insight into possible intervention modalities and critical prevention strategies.

Definition of Post-COVID-19 Condition Among Published Research Studies.

This cross-sectional study examines the differing definitions of a post­COVID-19 condition among published studies.

Health Outcomes of American Indians and Non-American Indians Hospitalized with COVID-19 in Western South Dakota.

INTRODUCTION: The purpose of this project was to determine the presence of disproportionate health outcomes during COVID-19 hospitalizations between American Indian and non-American Indian populations in western South Dakota. METHODS: A retrospective chart review study was conducted from March 29, 2020-November 30, 2021 at a 400 bed community hospital in western South Dakota. Groups were categorized by American Indian status (AI) and Non-American Indian status (NAI) based on admission paperwork. Numerical data points collected include: age of admits, length of stay, and number of comorbidities (including CHF, CHD, CAD, ESRD, ESLD, HTN, diabetes, obesity, immunocompromised status). Numerical data points were evaluated using a two sample t-test. Categorical data points included: ICU admission, ventilator use, and mortality. Categorical data points were evaluated using Chi-squared analysis with a two-tailed p-value of less than 0.05 for statistical significance and a degrees of freedom of 1. RESULTS: The average age of admission for AI was 52.4, and NAI was 64.5. The average number of comorbidities for AI was 2.16, and NAI was 1.96 (p = 0.003). The average length of stay for AI admits was 9.14, and 8.54 for NAI admits (p = 0.158). There was no relationship between AI status and ICU admission, X2. A significant relationship was present between AI status and ventilator use, X2.There was no relationship between AI status and mortality from COVID-19 illness, X2. CONCLUSIONS: American Indians were hospitalized at younger ages and required greater use of ventilator assisted oxygenation therapy. Though mortality was similar between the groups, risk for long term morbidity, including post-acute coronavirus syndrome and ventilator-associated complications, may be greater among American Indians.

A CASE STUDY ON FINANCIAL INCLUSION AND POSTCOVID LIVELIHOOD AMONG MIGRANT LABOURERS OF TITAGARH IN WEST BENGAL

Even though migration plays a significant role in the economy in terms of developmental practices, their rugged livelihood was brought to light during Covid-19 crisis. Using primary survey among the inter-State and intra- State labourers of Titagarh in West Bengal, an attempt is made to examine the financial inclusion and post-Covid effect on their income, remittance and different aspects of their livelihood like free food grain, employment loss and child immunisation.

A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality.

Rationale: A common MUC5B gene polymorphism, rs35705950-T, is associated with idiopathic pulmonary fibrosis (IPF), but its role in severe acute respiratory syndrome coronavirus 2 infection and disease severity is unclear. Objectives: To assess whether rs35705950-T confers differential risk for clinical outcomes associated with coronavirus disease (COVID-19) infection among participants in the Million Veteran Program (MVP). Methods: The MUC5B rs35705950-T allele was directly genotyped among MVP participants; clinical events and comorbidities were extracted from the electronic health records. Associations between the incidence or severity of COVID-19 and rs35705950-T were analyzed within each ancestry group in the MVP followed by transancestry meta-analysis. Replication and joint meta-analysis were conducted using summary statistics from the COVID-19 Host Genetics Initiative (HGI). Sensitivity analyses with adjustment for additional covariates (body mass index, Charlson comorbidity index, smoking, asbestosis, rheumatoid arthritis with interstitial lung disease, and IPF) and associations with post-COVID-19 pneumonia were performed in MVP subjects. Measurements and Main Results: The rs35705950-T allele was associated with fewer COVID-19 hospitalizations in transancestry meta-analyses within the MVP (Ncases = 4,325; Ncontrols = 507,640; OR = 0.89 [0.82-0.97]; P = 6.86 × 10-3) and joint meta-analyses with the HGI (Ncases = 13,320; Ncontrols = 1,508,841; OR, 0.90 [0.86-0.95]; P = 8.99 × 10-5). The rs35705950-T allele was not associated with reduced COVID-19 positivity in transancestry meta-analysis within the MVP (Ncases = 19,168/Ncontrols = 492,854; OR, 0.98 [0.95-1.01]; P = 0.06) but was nominally significant (P < 0.05) in the joint meta-analysis with the HGI (Ncases = 44,820; Ncontrols = 1,775,827; OR, 0.97 [0.95-1.00]; P = 0.03). Associations were not observed with severe outcomes or mortality. Among individuals of European ancestry in the MVP, rs35705950-T was associated with fewer post-COVID-19 pneumonia events (OR, 0.82 [0.72-0.93]; P = 0.001). Conclusions: The MUC5B variant rs35705950-T may confer protection in COVID-19 hospitalizations.

Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait.

Importance: Sickle cell trait (SCT), defined as the presence of 1 hemoglobin beta sickle allele (rs334-T) and 1 normal beta allele, is prevalent in millions of people in the US, particularly in individuals of African and Hispanic ancestry. However, the association of SCT with COVID-19 is unclear. Objective: To assess the association of SCT with the prepandemic health conditions in participants of the Million Veteran Program (MVP) and to assess the severity and sequelae of COVID-19. Design, Setting, and Participants: COVID-19 clinical data include 2729 persons with SCT, of whom 353 had COVID-19, and 129 848 SCT-negative individuals, of whom 13 488 had COVID-19. Associations between SCT and COVID-19 outcomes were examined using firth regression. Analyses were performed by ancestry and adjusted for sex, age, age squared, and ancestral principal components to account for population stratification. Data for the study were collected between March 2020 and February 2021. Exposures: The hemoglobin beta S (HbS) allele (rs334-T). Main Outcomes and Measures: This study evaluated 4 COVID-19 outcomes derived from the World Health Organization severity scale and phenotypes derived from International Classification of Diseases codes in the electronic health records. Results: Of the 132 577 MVP participants with COVID-19 data, mean (SD) age at the index date was 64.8 (13.1) years. Sickle cell trait was present in 7.8% of individuals of African ancestry and associated with a history of chronic kidney disease, diabetic kidney disease, hypertensive kidney disease, pulmonary embolism, and cerebrovascular disease. Among the 4 clinical outcomes of COVID-19, SCT was associated with an increased COVID-19 mortality in individuals of African ancestry (n = 3749; odds ratio, 1.77; 95% CI, 1.13 to 2.77; P = .01). In the 60 days following COVID-19, SCT was associated with an increased incidence of acute kidney failure. A counterfactual mediation framework estimated that on average, 20.7% (95% CI, -3.8% to 56.0%) of the total effect of SCT on COVID-19 fatalities was due to acute kidney failure. Conclusions and Relevance: In this genetic association study, SCT was associated with preexisting kidney comorbidities, increased COVID-19 mortality, and kidney morbidity.

Ensuring the quality and quantity of personal protective equipment (PPE) by enhancing the procurement process in Northern Ireland during the coronavirus disease 2019 pandemic: Challenges in the procurement process for PPE in NI.

This article outlines the purchasing process for personal protective equipment that was established for Health and Social Care in Northern Ireland in response to the outbreak of coronavirus disease 2019. The Business Services Organisation Procurement and Logistics Service, who are the sole provider of goods and services for Health and Social Care organisations, was faced with an unprecedented demand for personal protective equipment in response to the coronavirus disease 2019 pandemic. The usual procurement process was further complicated by changing messages within guidelines which resulted in confusion and anxiety when determining whether or not a product would meet the required safety guidance and was therefore suitable for purchase. In order to address these issues in a rapidly changing and escalating scenario the Department of Health asked the Business Services Organisation Procurement and Logistics Service to work with the Medicines Optimisation Innovation Centre to maximise the availability of personal protective equipment whilst ensuring that it met all requisite quality and standards. A process was implemented whereby the Medicines Optimisation Innovation Centre validated all pertinent essential documentation relating to products to ensure that all applicable standards were met, with the Business Services Organisation Procurement and Logistics Service completing all procurement due diligence tasks in line with both normal and coronavirus disease 2019 emergency derogations. It is evident from the data presented that whilst there were a significant number of potential options for supply, a large proportion of these were rejected due to failure to meet the quality assurance criteria. Thus, by the process that was put in place, a large number of unsuitable products were not purchased and only those that met extant standards were approved.

Co-infection in critically ill patients with COVID-19: an observational cohort study from England.

Introduction. During previous viral pandemics, reported co-infection rates and implicated pathogens have varied. In the 1918 influenza pandemic, a large proportion of severe illness and death was complicated by bacterial co-infection, predominantly Streptococcus pneumoniae and Staphylococcus aureus.Gap statement. A better understanding of the incidence of co-infection in patients with COVID-19 infection and the pathogens involved is necessary for effective antimicrobial stewardship.Aim. To describe the incidence and nature of co-infection in critically ill adults with COVID-19 infection in England.Methodology. A retrospective cohort study of adults with COVID-19 admitted to seven intensive care units (ICUs) in England up to 18 May 2020, was performed. Patients with completed ICU stays were included. The proportion and type of organisms were determined at <48 and >48 h following hospital admission, corresponding to community and hospital-acquired co-infections.Results. Of 254 patients studied (median age 59 years (IQR 49-69); 64.6 % male), 139 clinically significant organisms were identified from 83 (32.7 %) patients. Bacterial co-infections/ co-colonisation were identified within 48 h of admission in 14 (5.5 %) patients; the commonest pathogens were Staphylococcus aureus (four patients) and Streptococcus pneumoniae (two patients). The proportion of pathogens detected increased with duration of ICU stay, consisting largely of Gram-negative bacteria, particularly Klebsiella pneumoniae and Escherichia coli. The co-infection/ co-colonisation rate >48 h after admission was 27/1000 person-days (95 % CI 21.3-34.1). Patients with co-infections/ co-colonisation were more likely to die in ICU (crude OR 1.78,95 % CI 1.03-3.08, P=0.04) compared to those without co-infections/ co-colonisation.Conclusion. We found limited evidence for community-acquired bacterial co-infection in hospitalised adults with COVID-19, but a high rate of Gram-negative infection acquired during ICU stay.

Cataract risk stratification and prioritisation protocol in the COVID-19 era.

BACKGROUND: The COVID-19 pandemic halted non-emergency surgery across Scotland. Measures to mitigate the risks of transmitting COVID-19 are creating significant challenges to restarting all surgical services safely. We describe the development of a risk stratification tool to prioritise patients for cataract surgery taking account both specific risk factors for poor outcome from COVID-19 infection as well as surgical 'need'. In addition we report the demographics and comorbidities of patients on our waiting list. METHODS: A prospective case review of electronic records was performed. A risk stratification tool was developed based on review of available literature on systemic risk factors for poor outcome from COVID-19 infection as well as a surgical 'need' score. Scores derived from the tool were used to generate 6 risk profile groups to allow prioritised allocation of surgery. RESULTS: There were 744 patients awaiting cataract surgery of which 66 (8.9 %) patients were 'shielding'. One hundred and thirty-two (19.5 %) patients had no systemic comorbidities, 218 (32.1 %) patients had 1 relevant systemic comorbidity and 316 (46.5 %) patients had 2 or more comorbidities. Five hundred and ninety patients (88.7 %) did not have significant ocular comorbidities. Using the risk stratification tool, 171 (23 %) patients were allocated in the highest 3 priority stages. Given an aging cohort with associated increase in number of systemic comorbidities, the majority of patients were in the lower priority stages 4 to 6. CONCLUSIONS: COVID-19 has created an urgent challenge to deal safely with cataract surgery waiting lists. This has driven the need for a prompt and pragmatic change to the way we assess risks and benefits of a previously regarded as low-risk intervention. This is further complicated by the majority of patients awaiting cataract surgery being elderly with comorbidities and at higher risk of mortality related to COVID-19. We present a pragmatic method of risk stratifying patients on waiting lists, blending an evidence-based objective assessment of risk and patient need combined with an element of shared decision-making. This has facilitated safe and successful restarting of our cataract service.