Higher Risk Of Severe Outcomes Research Articles

SARS-CoV-2 vaccine hesitancy and its relationship with health-related quality of life in patients with heart failure - pilot cross-sectional study

Abstract Introduction Heart failure (HF) is a complex disease which influences various aspects of life. The latest COVID-19 outbreak exposed that HF patients were at higher risk of severe outcomes and mortality after being infected with SARS-CoV-2. Therefore, vaccination against SARS-CoV-2 is particularly recommended in that group. However, vaccine hesitancy is a growing problem, and it also affects vulnerable HF patients. Health-related quality of life (HRQoL) may be related to the resignation from vaccination against SARS-CoV-2. Purpose The study aims to assess the relationship between avoiding vaccinations against SARS-CoV-2 and HRQoL using the World Health Organisation Quality of Life Brief questionnaire of Life Brief (WHOQOL-BREF) in patients with heart failure. Methods To evaluate the HRQoL, the WHOQOL-BREF questionnaire was used. 117 patients hospitalized with a diagnosis of HF in 2022 irrespectively of left ventricle ejection fraction (LVEF) at the cardiology department were interviewed. Additionally, a detailed medical history was collected. Until the beginning of 2022, all patients could receive the vaccine. Patients were divided into two groups - vaccinated against SARS-CoV-2 and unvaccinated. HRQoL domain scores and total HRQoL were compared between the mentioned groups using the U-Mann Whitney test. Results The mean age of enrolled patients was 55.3±17.4 years, 21.4% were women, and the mean LVEF was 30.3±14.4%. 13 (11.1%) patients were not vaccinated against SARS-CoV-2 at the time of the interview. There was no difference in total HRQoL (p=0.437) and individual domains scores: somatic (p=0.787), psychological (p=0.171), social (p=0.261) and environmental (p=0.834) between both study groups. Patients avoiding vaccination against SARS-CoV-2 compared to vaccinated patients were younger (39.7±13.8 years vs. 57.3±6.9 years, p<0.001) and had lower LVEF (23.8±14.0% vs. 31.3±14.3%; p=0.04). In the unvaccinated group of patients, the duration of HF was three times shorter (mean 4.3 vs.12.4 years, p=0.002). Conclusions The study revealed no differences in domains of the WHOQoL-BREF questionnaire and overall HRQoL between patients who decided to vaccinate and those with the opposite decision. Almost 90% of the patients with HF were vaccinated against SARS-CoV-2. Younger HF patients are more hesitant to vaccinate against SARS-CoV-2, which is consistent with the trend observed in HF patients [1] and the general population [2]. Further studies could better characterize the patients with heart failure who are vaccine-hesitant. Eventually, it could help develop more specific care to convince them to vaccinate.

Preferential and sustained platelet activation in COVID-19 survivors with mental disorders

Pre-existing mental disorders are considered a risk factor for severe COVID-19 outcomes, possibly because of higher vascular burden. Moreover, an unconventional platelet activation characterizes COVID-19 and contributes to inflammatory and thrombotic manifestations. In the light of the inflammation theory of mental disorders, we hypothesized that patients with mental disorders could be sensitive to the SARS-CoV-2 elicited platelet activation. We investigated platelet activation in 141 COVID-19 survivors at one month after clearance of the virus, comparing subjects with or without an established pre-existing diagnosis of mental disorder according to the DSM-5. We found that platelets from patients with a positive history of psychiatric disorder underwent unconventional activation more frequently than conventional activation or no activation at all. Such preferential activation was not detected when platelets from patients without a previous psychiatric diagnosis were studied. When testing the effects of age, sex, and psychiatric history on the platelet activation, GLZM multivariate analysis confirmed the significant effect of diagnosis only. These findings suggest a preferential platelet activation during acute COVID-19 in patients with a pre-existing psychiatric disorder, mediated by mechanisms associated with thromboinflammation. This event could have contributed to the higher risk of severe outcome in the psychiatric population.

Hospital outcomes for young adults with COVID-19

BackgroundOlder adults are at higher risk of severe outcomes from COVID-19 with comorbidities increasing such risk. Much less is known about the outcomes of young adults with COVID-19 despite their having had high infection rates. ObjectivesOur objective was to determine outcomes of hospitalized young adults with COVID-19 infection including rates of oxygen use, mortality, ICU admission, intubation, duration of hospitalization, and factors associated with adverse outcomes. Study designThis retrospective cohort study included EHR data from 21 health systems in the United States on 18–29-year-olds hospitalized with COVID-19 from March 1, 2020 – January 31, 2022. Oxygen need was used to identify symptomatic COVID-19. Rates for mortality, ICU admission, and intubation were calculated for the symptomatic and asymptomatic groups. Effects of demographic and health characteristics on outcomes were assessed as were changes in hospital outcomes over time. ResultsOur sample included 9871 young adults hospitalized with COVID-19; 35% required oxygen. Of those who required oxygen, 53.5% were female, 23.7% had an anxiety disorder, 2.6% died (n = 89), 27.7% were admitted to the ICU (n = 955), and 15.8% were intubated (n = 547). A past-year history of any cancer was associated with a 2.1 times increased odds of death. Vaccination was associated with a >40% reduction in the odds of ICU admission. Mortality rates did not change significantly across the study period. ConclusionsCOVID-19 caused significant morbidity and mortality in hospitalized young adults who required oxygen. A cancer history was associated with increased risk of death. Vaccination appeared to have had a protective effect on illness severity.

The Impact of COVID-19 on Māori Patients Attending Diabetes Annual Review.

Māori, the indigenous population of New Zealand, represent 17.1% of the country's population (Statistics New Zealand 2021) and are over-represented in all negative indices. In particular, Māori are underprivileged in terms of socioeconomics and health due to the residualeffects of colonization. The global COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has been one of the most significant public health crises in modern history. Vulnerable populations, such as the elderly and those with underlying health conditions, wereand remainat higher risk of severe outcomes. In the New Zealand context and given the health statistics, Māori were identified as a group that was at high risk from COVID-19.Using a mixed method approach, we attempt to identify the reasons why a cohort of New Zealand Māori with type II diabetes mellitus (DM II) and a history of regular attendancefailed their Diabetes Annual Review (DAR) post-COVID-19. Twelve Māori participants were recruited (> 18 years) from a Māori Diabetes database of an urban General Practitioners (GP) Clinic in Northland. A 9-point questionnaire and an unstructured telephone conversation utilizing a Kaupapa Māori (Māori philosophy) approach were utilized, and data were collated. Findings suggest the New Zealand government's COVID-19 vaccine mandates served to exacerbate Māori distrust of health professionals. Trust is the foundation of every successful relationship whether it be business, professional, health, or personal. Health delivery and uptake are based on this foundation. Whatever the reason for the loss of trust in the medical profession, historical colonial trauma, swayed by conspiracy theory, or otherwise, considering this factor should influence the structure and approach of public health initiatives directed toward Indigenous people internationally.

Comparison of COVID-19 Hospitalization and Death Between Solid Organ Transplant Recipients and the General Population in Canada, 2020-2022.

Solid organ transplant recipients have a high risk of severe outcomes from SARS-CoV-2 infection. A comprehensive understanding of the impact of the COVID-19 pandemic across multiple waves in the solid organ transplant population and how this compares to the general population is limited. We conducted a population-based cohort study using linked administrative healthcare databases from Ontario, Canada to answer this question. We included 15 306 solid organ transplant recipients and 12 160 904 individuals from the general population. Our primary outcome was the rate (per 100 person-years) of severe COVID-19 (ie, hospitalization or death with a positive SARS-CoV-2 test) occurring between January 25, 2020, and November 30, 2022. Compared with the general population, solid organ transplant recipients had almost a 6 times higher rate of severe COVID-19 (20.39 versus 3.44 per 100 person-years), with almost 5.5 times as high a rate of death alone (4.19 versus 0.77 per 100 person-years). Transplant recipients with severe COVID-19 were substantially younger (60.1 versus 66.5 y) and had more comorbidities. The rate of severe COVID-19 declined over time in the solid organ transplant population, with an incidence rate of 41.25 per 100 person-years in the first wave (January 25, 2020, to August 31, 2020) and 18.41 in the seventh wave (June 19, 2022, to November 30, 2022, Omicron era). Solid organ transplant recipients remain at high risk of severe outcomes when they are infected with SARS-CoV-2. Resources and strategies to mitigate the impact of SARS-CoV-2 exposure are needed in this vulnerable patient population.

Factors associated with SARS-CoV-2 vaccine hesitancy after stroke: a cross-sectional study

BackgroundThe vaccination status of post-stroke patients, who are at high risk of severe outcomes from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is a significant concern, yet it remains unclear. We aimed to explore the vaccination status, factors associated with vaccine hesitancy, and adverse effects after vaccination among post-stroke patients.MethodsThis multi-center observational study enrolled hospitalized post-stroke patients from six Chinese hospitals (Oct 1, 2020 - Mar 31, 2021), examining vaccine uptake and self-reported reasons for vaccine hesitancy, utilizing logistic regression to investigate risk factors for vaccine hesitancy, and recording any adverse reactions post-vaccination.ResultsOf the total 710 post-stroke patients included in the study, 430 (60.6%) had completed the recommended full-3 dose SARS-CoV-2 vaccination, with 176 (24.8%) remaining unvaccinated. The most common reasons for vaccine hesitancy were concerns about vaccine side effects (41.5%) and impaired mobility (33.9%). Logistic regression identified advanced age (aOR = 1.97, 95%CI: 1.36–2.85, P = 0.001), lower Barthel Index score (aOR = 0.88, 95%CI: 0.82–0.93, P = 0.018), higher Modified Rankin Scale score (aOR = 1.85, 95%CI: 1.32–2.56, P = 0.004), and poorer usual activity level of EuroQol 5-Dimension (aOR = 2.82, 95%CI: 1.51–5.28, P = 0.001) as independent risk factors for vaccine hesitancy. Approximately 14.8% reported minor adverse reactions, mainly pain at the injection site.ConclusionWe found that post-stroke patients have insufficient SARS-CoV-2 vaccination rates, with key risk factors for vaccine hesitancy including concerns about side effects, advanced age, and functional impairments. No severe adverse reactions were observed among the vaccinated population.

Respiratory Syncytial Virus Infection in Older Adults: An Update.

Respiratory syncytial virus (RSV) infection represents one of the most common infections during childhood, with significant morbidity and mortality in newborns and in the early years of life. RSV is a common infection throughout all age groups, largely undetected and underestimated in adults, with a disproportionately high impact in older individuals. RSV infection has a wide range of clinical presentations, from asymptomatic conditions to acute pneumonia and severe life-threatening respiratory distress, including exacerbations of underlying chronic conditions. Overall, the incidence of RSV infections requiring medical attention increases with age, and it is highest among persons ≥70years of age. As a consequence of a combination of an aging population, immunosenescence, and the related increased burden of comorbidities, high-income countries are at risk of developing RSV epidemics. The standard of care for RSV-infected patients remains supportive, including fluids, antipyretics, and oxygen support when needed. There is an urgent need for antivirals and preventive strategies in this population, particularly in individuals at higher risk of severe outcomes following RSV infection. In this review, we describe prevention and treatment strategies for RSV illnesses, with a deep focus on the novel data on vaccination that has become available (Arexvy, GSK, and Abrysvo, Pfizer) for older adults.

Attitudes toward COVID-19 vaccines during pregnancy and breastfeeding.

Although vaccination is one of the most effective means of controlling the spread of COVID-19, public concerns and indecision about vaccination still continue. Because pregnant and breastfeeding individuals are at high risk for severe outcomes in case of infections, determining their level of hesitation and attitude toward COVID-19 vaccines will guide the management of the disease. This study aimed to determine pregnant and breastfeeding women's levels of hesitation and attitude toward COVID-19 vaccines as well as their related factors. The sample of this descriptive research consisted of 103 pregnant or breastfeeding individuals who were seen at the obstetrics and gynecology outpatients clinic of a state hospital in Istanbul, Turkey. The data were collected using a 'demographic data form', the 'Vaccine Hesitancy Scale in Pandemic', and the 'Attitudes toward COVID-19 Vaccine Scale'. The research data were analyzed with appropriate statistical methods. The mean age of the participants was 29.71 ± 4.75, 51% were pregnant, and 74.8% had received the COVID-19 vaccine. The mean score of the 'Vaccination Hesitancy Scale in Pandemic' was 30.83 ± 6.91, and the mean score for the 'Attitude Scale toward the COVID-19 Vaccine' was 25.50 ± 5.20. A significant difference was found between the total score of the 'Vaccine Hesitation Scale in the Pandemic' and the mean score of the 'Lack of Confidence' sub-dimension between the 'working status' and the 'influenza vaccination' status. In terms of the mean score of the 'Risk' sub-dimension, a significant difference was found between the 'period of vaccination' (p < 0.05). According to the mean total score of the 'Attitude Towards COVID-19 Vaccine Scale', there was a significant difference between the 'smoking' status. There was a significant difference in the 'Positive Attitude' sub-dimension in terms of the 'flu vaccination' status. There was a significant difference in the 'Negative Attitude' sub-dimension in terms of the 'chronic disease' status. A positive correlation was found between the total scores of the scales. It was concluded that although the participants had a high level of hesitation toward the COVID-19 vaccine, they had a positive attitude. The results obtained will be guided in determining the strategies to be developed for these specific groups in future pandemics.

Genomic hallmarks and therapeutic targets of ribosome biogenesis in cancer.

Hyperactive ribosome biogenesis (RiboSis) fuels unrestricted cell proliferation, whereas genomic hallmarks and therapeutic targets of RiboSis in cancers remain elusive, and efficient approaches to quantify RiboSis activity are still limited. Here, we have established an in silico approach to conveniently score RiboSis activity based on individual transcriptome data. By employing this novel approach and RNA-seq data of 14 645 samples from TCGA/GTEx dataset and 917 294 single-cell expression profiles across 13 cancer types, we observed the elevated activity of RiboSis in malignant cells of various human cancers, and high risk of severe outcomes in patients with high RiboSis activity. Our mining of pan-cancer multi-omics data characterized numerous molecular alterations of RiboSis, and unveiled the predominant somatic alteration in RiboSis genes was copy number variation. A total of 128 RiboSis genes, including EXOSC4, BOP1, RPLP0P6 and UTP23, were identified as potential therapeutic targets. Interestingly, we observed that the activity of RiboSis was associated with TP53 mutations, and hyperactive RiboSis was associated with poor outcomes in lung cancer patients without TP53 mutations, highlighting the importance of considering TP53 mutations during therapy by impairing RiboSis. Moreover, we predicted 23 compounds, including methotrexate and CX-5461, associated with the expression signature of RiboSis genes. The current study generates a comprehensive blueprint of molecular alterations in RiboSis genes across cancers, which provides a valuable resource for RiboSis-based anti-tumor therapy.

Cost-utility analysis of molnupiravir for high-risk, community-based adults with COVID-19: an economic evaluation of the PANORAMIC trial.

The cost-effectiveness of molnupiravir, an oral antiviral for early treatment of SARS-CoV-2, has not been established in vaccinated populations. To evaluate the cost-effectiveness of molnupiravir relative to usual care alone among mainly vaccinated community-based people at higher risk of severe outcomes from COVID-19 over 6 months. An economic evaluation of the PANORAMIC trial in the UK. A cost-utility analysis that adopted a UK NHS and personal social services perspective and a 6-month time horizon was performed using PANORAMIC trial data. Cost-effectiveness was expressed in terms of incremental cost per quality-adjusted life year (QALY) gained. Sensitivity and subgroup analyses assessed the impacts of uncertainty and heterogeneity. Threshold analysis explored the price for molnupiravir consistent with likely reimbursement. In the base-case analysis, molnupiravir had higher mean costs of £449 (95% confidence interval [CI] = 445 to 453) and higher mean QALYs of 0.0055 (95% CI = 0.0044 to 0.0067) than usual care (mean incremental cost per QALY of £81 190). Sensitivity and subgroup analyses showed similar results, except for those aged ≥75 years, with a 55% probability of being cost-effective at a £30 000 per QALY threshold. Molnupiravir would have to be priced around £147 per course to be cost-effective at a £15 000 per QALY threshold. At the current cost of £513 per course, molnupiravir is unlikely to be cost-effective relative to usual care over a 6-month time horizon among mainly vaccinated patients with COVID-19 at increased risk of adverse outcomes, except those aged ≥75 years.

The descriptive epidemiology of pre-omicron SARS-CoV-2 breakthrough infections and severe outcomes in Manitoba, Canada.

Vaccination plays a key role in curbing severe outcomes resulting from COVID-19 disease. With the Omicron variant and the relaxing of public health protections breakthrough infections are increasingly common, and certain groups remain at higher risk for severe outcomes from breakthrough infections. We analysed population-based public health data from Manitoba, Canada to understand characteristics of those experiencing breakthrough infections and severe outcomes from breakthrough infections. Data from previous pandemic stages can provide valuable information regarding severe outcomes associated with breakthrough infection in the Omicron and future phases. Positive SARS-CoV-2 PCR tests from Cadham Provincial Laboratory were linked to case information from the population-based Public Health Information Management System. A retrospective design was used with time-to-event analyses to examine severe outcomes among those experiencing breakthrough infection. Breakthrough cases were more likely to have 2 + chronic conditions, compared to age-, sex-, and time-period matched unvaccinated cases (24% vs. 17%), with hypertension (30%), diabetes (17%), and asthma (14%) being the most prevalent chronic conditions amongst breakthrough cases. Severe outcomes resulting from breakthrough infection was associated with age and chronic conditions, with those with 2 + chronic conditions at higher risk of severe outcomes (adjusted hazard ratio: 3.6, 95% confidence intervals: 2.0-6.4). Risk of severe outcomes varied by age group, with those 70 + years at over 13 times the risk of severe outcomes (95% CI: 4.5-39.8), compared to those 18-29 years of age. Our results demonstrate the impact of chronic conditions on the likelihood of, and severity of outcomes from breakthrough infections. These findings underscore the importance of vaccination programs prioritizing vulnerable populations.

1771. A Novel Approach to Distributing COVID-19 Oral Antivirals During a Public Health Emergency Using a Pharmacy Home Delivery Model in New York City, 2022

Abstract Background In December 2021, the oral antivirals (OAVs) nirmatrelvir/ritonavir and molnupiravir were authorized for the treatment of COVID-19 in high-risk patients. Initial supplies were limited and states designated pharmacies to receive OAVs from a weekly federal allocation. New York City (NYC) has nearly 3,000 pharmacies serving a diverse population across a large urban area. To ensure fair access to OAVs, the NYC Health Department partnered with an online pharmacy to provide rapid delivery to any NYC address. Here we describe characteristics of patients served and metrics used to evaluate the program as the pandemic and OAV access evolved in 2022. Methods The NYC partner pharmacy provided data on OAV prescriptions including patient age, sex, delivery zip code, and dates of prescription and delivery. These data were matched with the NYC Health Department’s COVID-19 surveillance data including positive lab reported cases, Citywide Immunization Registry, deaths, all-cause emergency department (ED) visits and hospital admissions. Descriptive statistics were calculated using R Statistical Software. Results A total of 48,947 OAV prescriptions were delivered in 2022, reaching 99.5% of residential zip codes, accounting for 17.5% of the OAVs dispensed in NYC. The median time from prescription receipt to delivery was 17 hours (IQR 6-24) with half (49%) of deliveries going to high social vulnerability zip codes. Of OAV recipients, most (58%) were female, with a median age of 56 years (IQR 39, 68) with 32% aged 65 years or older; 78% had received at least a primary vaccination series; 36% matched with a lab reported COVID-19 case; 5.5% had an ED visit and 0.8% were hospitalized in NYC for any cause within 30 days of prescription date. Conclusion The NYC antiviral delivery program provided broad and timely access to COVID OAVs, serving a significant proportion of patients in high social vulnerability neighborhoods and older adults at higher risk for severe outcomes. Of note, an increasing proportion of people receiving OAVs were not reported as cases to public health, which likely reflects the increasing use of home tests in 2022. Limitations include the lack of data on race/ethnicity, underlying medical conditions and for patients receiving OAVs through other pharmacies. Disclosures All Authors: No reported disclosures

Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients

Even though the World Health Organization declared the end of the pandemic, COVID-19 is still considered an endemic disease, affecting many people worldwide. As a result, hospitalization rates can continue to strain healthcare systems, particularly in low and middle-income countries. Thus, this article presents two predictive Machine Learning (ML) models to identify COVID-19 patients more likely to be hospitalized or face a higher mortality risk, aiming to assist physicians and healthcare administrators in making informed decisions. Previous research primarily focused on using expensive input data, such as clinical examinations and images, to implement ML models. In contrast, we implemented the models using information on patients’ demographics, vaccination history, symptoms, and underlying health conditions. We trained the ML algorithms using data from the OpenDataSus database, focusing on patients undergoing hospital treatment in São Paulo, Brazil. Our study tested 14 different ML algorithms to determine their effectiveness: gradient boosting, light gradient boosting machine, logistic regression, linear discriminant analysis, ridge, AdaBoost, random forest, support vector machine, k-nearest neighbor, extra tree, decision tree, naive Bayes, quadratic discriminant analysis, and dummy. The results showed that the gradient-boosting model outperformed the others, achieving an accuracy rate of 83% and an Area Under the Curve (AUC) of 0.89 for predicting mortality risk. Moreover, the model achieved an accuracy rate of 71% and an AUC of 0.75 for predicting hospitalization risk. Our analysis evidence that including information on the number of vaccine doses can enhance the prediction results for hospitalization and mortality of patients. Based on these significant findings, we have developed a web application to assist healthcare professionals in identifying patients at a higher risk of severe outcomes from COVID-19.

Trends in age-specific varicella incidences following the introduction of the general recommendation for varicella immunization in Germany, 2006–2022

BackgroundIn Germany, general childhood varicella vaccination has been recommended since 2004. A feared effect of low vaccination coverage is a possible shift in incidence from children to teenagers and young adults who are at higher risk of severe outcomes. If true, this shift would possibly necessitate changes to the national immunization strategy.We aimed to evaluate the effects of the general vaccination recommendation on age-specific varicella incidences in Germany in general and examine specifically whether a shift from children to teenagers (15 to 19 years) has occurred.MethodsTrends in age-specific incidences were evaluated using triangulation with the following datasets: national mandatory notification data (N) (2014–2022), billing data of the statutory health insurance associations (I) (2009–2017) and data from a doctor's sentinel system (S) (2006–2017). Similar clinical case definitions were used in N and S, while I used ICD-10-codes. Age groups were stratified as available in all three systems. Incidences per year were calculated based on the total population (N), the number of statutory health insured (I), and extrapolated from S to the total population.ResultsDuring all years of observation, age-specific incidences have dropped significantly across all age-groups for S und I. The age groups (under 10 years) with initially highest incidences were the ones with the strongest reductions (under 1 year: -90%, 1–4 years: -95.5%, 5–9 years: -89.2% for S; -67.7%, -78%, -79.3% for I). A single 53.1% increase in the low incidence in S among 15–19-year olds observed in 2017 compared to 2016 could not be confirmed in N or I. Increases in incidences during the first two years of N are probably due to improved notification behaviour over these years. In 2019, all age-specific incidences increased (N), with 15 to 19-year olds showing the highest relative increase (28.2%).ConclusionsSince the introduction of the general vaccine recommendation against varicella, incidences across all age-groups have declined significantly. Available data indicate no evidence for a shift in disease incidence to older age groups. Every incidence increase beyond childhood age should however be followed up closely. So far, children and adolescents have both benefitted from the current vaccination strategy.

Differences by immigration status on Covid-19 acute outcomes in the Emilia-Romagna ORCHESTRA cohort

Abstract Covid-19 pandemic increased health inequalities, affecting vulnerable populations as ethnic minorities and migrants. This retrospective observational population-based cohort study, as a part of the Horizon 2020 ORCHESTRA Project (funded under Grant Agreement n.101016167), assessed differences in risks of hospitalization, disease severity and mortality during the first 30 days after Covid-19 infection, comparing immigrants from high migratory pressure countries (HMPCs) to Italians and other residents from low migratory pressure countries (LMPCs) in the Emilia-Romagna (E-R) Region in Italy. All adult positive cases from February ’20 to February ’22 and residing for at least 1 year in E-R were included. Poisson regression with robust estimation of standard error was used to obtain risk ratios for main outcomes, stratifying by sex, epidemic period and adjusting for age, citizenship, deprivation index, care complexity index and vaccination status. Data came from the regional administrative healthcare databases. Sensitivity analyses were performed with people &amp;lt;75 years old and disaggregating into 7 main citizenship. Among the 859,754 tested positive for SARS-CoV-2, 9.6% were immigrants from HMPCs. Hospitalization risk among them was higher than for Italians and other LMPCs in both sexes (p &amp;lt; 0.01), in all periods and with an increasing trend over time; similarly, migrants had higher risk of severity (p &amp;lt; 0.05), with higher point estimates in women. Even if with lower level of evidence as compared to other outcomes, an indication of higher mortality among immigrant was evident in the first 7 months and confirmed by sensitivity analysis including population &amp;lt;75 years old. Sensitivity analyses showed higher risk of severe outcomes in Asians and Sub-Saharan Africans, particularly in women. Immigrants, in particular vulnerable subgroups such as women or migrants from Asia and Sub-Saharan Africa, showed higher risk of acute severe disease during the first 2 years of pandemic in E-R. Key messages • Numerous barriers to primary care access led migrants from HMPCs to show higher risk of disease severity, especially among most marginalized groups. • Implementing equity-oriented and gender-based interventions is essential to overcome barriers to primary care and improve awareness and inclusion of migrants from HMPCs.

Monocyte and neutrophil to lymphocyte ratios in hospitalized children with RSV bronchiolitis.

Acute bronchiolitis is the most common cause of hospitalization in young children. Data on monocyte-to-lymphocyte-ratio (MLR) and neutrophil-to-lymphocyte-ratio (NLR) as biomarkers are limited. We aim to evaluate these ratios in children hospitalized with respiratory syncytial virus (RSV) bronchiolitis and their value as biomarkers for severe clinical outcomes. A single-center retrospective cohort study of children aged <2 years hospitalized due to RSV bronchiolitis, between January 2018 and March 2022, with a complete blood count upon admission. We divided the cohort into quartiles based on MLR and NLR values. We examined associations between quartiles and four clinical severity outcomes. A total of 2038 children (median age: 4.4 months, IQR: 1.9-9.8) were included in the study. The median MLR and NLR values for quartiles 1-4 were 0.14, 0.22, 0.30, 0.47, and 0.37, 0.70, 1.16, 2.29, respectively. Children with higher MLR had higher hospitalization rates to the pediatric intensive care unit (PICU) (Q1 2.4%, Q4 9.4%, p < .001), extended hospital stays (Q1 19.4%, Q4 32%, p < .001), and lower minimal oxygen saturation (Q1 90%, Q4 87%, p < .001). Cut-off values of 0.34 for MLR and 0.67 for NLR optimally identified PICU admissions. In a model accounting for age and sex, the fourth MLR quartile had an RR of 3.4 (95% CI: 1.76-7.22) and successfully predicted PICU admissions (area under the curve = 0.73; 95% CI: 0.681-0.789). MLR and NLR are potential biomarkers for identifying children with RSV bronchiolitis at a higher risk for severe outcomes, specifically PICU admission.

Poorer outcomes following COVID-19 infection for patients with depression: A cohort analysis in South Korea.

It remains unknown whether patients with pre-existing depressive conditions are at high risk of severe COVID-19. Therefore, this study aims to investigate the association between patients with pre-existing depressive conditions and severe COVID-19. This study is part of the Korea Disease Control and Prevention Agency-COVID19-National Health Insurance Service cohort study of an ongoing large-scale health screening survey of adults 18 years and older residing in South Korea. Pre-existing depression status was measured from 552,860 patients who participated in a biennial health screening from 2019 to 2020. Finally, 29,106 confirmed COVID-19 patients were enrolled and followed up to track any severe clinical events within 1 month of their diagnosis date. Adjusted odds ratio (aOR) and 95% confidence interval (CI) were calculated using multivariate-adjusted logistic regression analysis. We identified 2868 COVID-19 patients with severe clinical events and 26,238 COVID-19 patients without severe clinical events. The moderate-to-severe depressive symptoms group showed an elevated odds of severe outcomes of COVID-19 (aOR, 1.46; 95% CI, 1.25-1.72), including those without vaccination (aOR, 1.32; 95% CI, 1.08-1.61) and those with complete vaccination (aOR, 1.76; 95% CI, 1.18-2.63). In addition, those who were diagnosed with depression along with depressive symptoms at the health screening revealed an increased risk of severe outcomes of COVID-19 (aOR, 2.22; 95% CI, 1.22-4.05). Moderate-to-severe depressive symptoms were associated with higher odds of severe COVID-19 events in both no and complete vaccination groups. Participants with depressive symptoms may be at higher risk of severe outcomes of COVID-19.

Severe outcomes following pediatric cannabis intoxication: a prospective cohort study of an international toxicology surveillance registry

Introduction An increasing number of jurisdictions have legalized recreational cannabis for adult use. The subsequent availability and marketing of recreational cannabis has led to a parallel increase in rates and severity of pediatric cannabis intoxications. We explored predictors of severe outcomes in pediatric patients who presented to the emergency department with cannabis intoxication. Methods In this prospective cohort study, we collected data on all pediatric patients (<18 years) who presented with cannabis intoxication from August 2017 through June 2020 to participating sites in the Toxicology Investigators Consortium. In cases that involved polysubstance exposure, patients were included if cannabis was a significant contributing agent. The primary outcome was a composite severe outcome endpoint, defined as an intensive care unit admission or in-hospital death. Covariates included relevant sociodemographic and exposure characteristics. Results One hundred and thirty-eight pediatric patients (54% males, median age 14.0 years, interquartile range 3.7–16.0) presented to a participating emergency department with cannabis intoxication. Fifty-two patients (38%) were admitted to an intensive care unit, including one patient who died. In the multivariable logistic regression analysis, polysubstance ingestion (adjusted odds ratio = 16.3; 95% confidence interval: 4.6–58.3; P < 0.001)) and cannabis edibles ingestion (adjusted odds ratio = 5.5; 95% confidence interval: 1.9–15.9; P = 0.001) were strong independent predictors of severe outcome. In an age-stratified regression analysis, in children older than >10 years, only polysubstance abuse remained an independent predictor for the severe outcome (adjusted odds ratio 37.1; 95% confidence interval: 6.2–221.2; P < 0.001). As all children 10 years and younger ingested edibles, a dedicated multivariable analysis could not be performed (unadjusted odds ratio 3.3; 95% confidence interval: 1.6–6.7). Conclusions Severe outcomes occurred for different reasons and were largely associated with the patient’s age. Young children, all of whom were exposed to edibles, were at higher risk of severe outcomes. Teenagers with severe outcomes were frequently involved in polysubstance exposure, while psychosocial factors may have played a role.

Lessons from a COVID-19 outbreak in the disability support sector, Australian Capital Territory, August 2021.

People with disability are at higher risk of severe outcomes from SARS-CoV-2 infection. Due to complex client needs and available staffing, disability support providers (DSP) were limited in their ability to mitigate the introduction of SARS-CoV-2 into disability support settings. This report describes the characteristics of a Delta variant outbreak associated with a single DSP in Canberra, Australian Capital Territory (ACT), in August 2021. We calculated attack rates for workplace exposure sites and households, using the number of people present at workplaces and households as the denominator. Thirty confirmed cases were identified, comprised of 13 support workers, six clients, and 11 household and other contacts. The median age of cases was 30.5 years (range 1 to 80 years) and 5 cases (17%) were hospitalised. No cases were admitted to an intensive care unit (ICU) or died. Twenty-two percent of people in close contact with confirmed SARS-CoV-2 cases in this cluster (23/103) subsequently tested positive to SARS-CoV-2. Investigations identified multiple primary cases, with one primary case the likely infection source for at least 17 other cases. Despite the majority being eligible for vaccination, only two cases were fully vaccinated (two doses > 14 days before exposure). The mean secondary attack rate at workplace sites (15% or 12/80 close contacts infected) was lower than the tertiary attack rate (47.8% or 11/23 close contacts infected). The overall risk of contracting SARS-CoV-2 in DSP-related work sites was lower than for household settings (relative risk: 0.42; 95% confidence interval: 0.21-0.82). These findings demonstrate the importance of ongoing collaboration between governments and the disability support sector. Development and delivery of targeted health messaging to people with disability and to disability support workers, regarding infection control in the home setting, and identification of enablers for vaccination, should be the highest priorities from this collaboration.

Impact of prior SARS-COV-2 infection and vaccination on COVID-19 hospital admission and mortality amongst nursing home residents.

Nursing home residents (NHRs) have experienced disproportionately high risk of severe outcomes due to COVID-19 infection. We investigated the impact of COVID-19 vaccinations and previous SARS-CoV-2 episodes in preventing hospitalization and mortality in NHRs. Retrospective study of a cohort of all NHRs in our area who were alive at the start of the vaccination campaign. The first three doses of SARS-CoV-2 vaccine and prior COVID-19 infections were registered. The main outcomes were hospital admission and mortality during each follow up. Random effects time-varying Cox models adjusted for age, sex, and comorbidities were fitted to estimate hazard ratios (HRs) according to vaccination status. COVID-19 hospitalization and death rates for unvaccinated NHRs were respectively 2.39 and 1.42 per 10,000 person-days, falling after administration of the second dose (0.37 and 0.34) and rising with the third dose (1.08 and 0.8). Rates were much lower amongst people who had previously had COVID-19. Adjusted HRs indicated a significant decrease in hospital admission amongst those with a two- and three-dose status; those who had had a previous COVID-19 infection had even lower hospital admission rates. Death rates decreased as NHRs received two and three doses, and the probability of death was much lower among those who had previously had the infection. The effectiveness of current vaccines against severe COVID-19 disease in NHRs remains high and SARS-CoV-2 episodes prior to vaccination entail a major reduction in hospitalization and mortality rates. The protection conferred by vaccines appears to decline in the following months. ClinicalTrials.gov Identifier: NCT04463706.