Risk factors for severe COVID-19 in the young-before and after ICU admission.

BACKGROUND: Factors associated with severe COVID-19 and death among young adults are not fully understood, including differences between the sexes. The aim of this study was to identify factors associated with severe COVID-19 requiring intensive care and 90-day mortality among women and men below 50 years of age. METHODS: A register-based study using data from mandatory national registers, where patients with severe COVID-19 admitted to the ICU with need for mechanical ventilation (cases) between March 2020 and June 2021 were matched regarding age, sex, and district of residence with 10 population-based controls. Both the study population and the controls were divided into groups based on age (< 50 years, 50-64, and ≥ 65 years) and sex. Multivariate logistic regression models including socioeconomic factors were used to calculate odds ratios (OR) with 95% confidence intervals (CIs) for associations between severe COVID-19 in the population to compare the magnitude of the risk associations for co-morbidities in the different age categories, and subsequently factors associated with 90-day mortality among patients admitted to ICU. RESULTS: In total, 4921 cases and 49,210 controls (median age 63 years, 71% men) were included. The co-morbidities with the strongest associations with severe COVID-19 for the young population compared to older patients were chronic kidney disease (OR 6.80 [3.61-12.83]), type 2 diabetes (OR 6.31 [4.48-8.88]), hypertension (OR 5.09 [3.79-6.84]), rheumatoid arthritis (OR 4.76 [2.29-9.89]), obesity (OR 3.76 [2.88-4.92]), heart failure (OR 3.06 [1.36-6.89]), and asthma (OR 3.04 [2.22-4.16]). When comparing women vs. men < 50 years of age, stronger associations were seen for women regarding type 2 diabetes (OR 11.25 [6.00-21.08] vs OR 4.97 [3.25-7.60]) and hypertension (OR 8.76 [5.10-15.01] vs OR 4.09 [2.86-5.86]). The factors associated with 90-day mortality in the young were previous venous thromboembolism (OR 5.50 [2.13-14.22]), chronic kidney disease (OR 4.40 [1.64-11.78]) and type 2 diabetes (OR 2.71 [1.39-5.29]). These associations with 90-day mortality were foremost driven by the female population. CONCLUSION: Chronic kidney failure, type 2 diabetes, hypertension, rheumatoid arthritis, obesity, heart failure, and asthma were the strongest risk factors associated with severe COVID-19 requiring ICU-care in individuals < 50 years compared to the older population. However, after ICU admission, previous thromboembolism, chronic kidney failure, and type 2 diabetes were associated with increased 90-day mortality. The risk associations for co-morbidities were generally stronger among younger individuals compared to older and in women compared to men.

Association Between CKD, Obesity, Cardiometabolic Risk Factors, and Severe COVID-19 Outcomes.

Introduction: Chronic kidney disease (CKD) is a risk factor for acquiring severe COVID-19, but underlying mechanisms are unknown. We aimed to study the risk associated with CKD for severe COVID-19 outcomes in relation to body mass index (BMI) and diabetes because they are common risk factors for both CKD and severe COVID-19. Methods: This nationwide case-control study with data from mandatory national registries included 4684 patients (cases) admitted to the intensive care units (ICUs) requiring mechanical ventilation and 46,840 population-based controls matched by age, sex, and district of residency. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) for associations between severe COVID-19 and exposures with adjustment for confounders, in subgroups by BMI, and matched by type 2 diabetes. Results: The median age was 64 years, and 27.7% were female. CKD was observed in 5.4% of the cases and 1.5% of the controls, whereas 1.9% and 0.3% had end-stage CKD, respectively. CKD was associated with severe COVID-19 (OR, 2.20 [95% CI, 1.85-2.62]), continuous renal replacement therapy (CRRT) in ICU (OR, 7.36 [95% CI, 5.39-10.05]), and death any time after ICU admission (OR, 2.51 [95% CI, 1.96-3.22]). The risk associated with CKD for severe COVID-19 did not differ significantly by weight but was higher in those without diabetes (OR, 2.76 [95% CI, 2.15-3.55]) than in those with diabetes (OR, 1.88 [95% CI, 1.37-2.59]). Conclusion: CKD, especially end-stage CKD, is an important risk factor for severe COVID-19 and death after ICU admission also in patients with normal BMI and without type 2 diabetes.

Immigrant background and socioeconomic status are associated with severe COVID-19 requiring intensive care.

To determine whether immigrant background and socioeconomic status were associated with increased risk to develop severe Coronavirus disease 2019 (COVID-19) requiring mechanical ventilation at the intensive care unit and to study their effects on 90-day mortality. Nationwide case-control study with personal-level data from the Swedish Intensive Care register linked with socioeconomic data from Statistics Sweden and comorbidity data from the national patient register. For each case of COVID-19 treated with mechanical ventilation at the intensive care unit (outcome), 10 population controls were matched for age, sex and area of residence. Logistic and Cox regression were used to study the association between the exposure (immigrant background, income and educational level) and 90-day mortality. In total, 4 921 cases and 49 210 controls were matched. In the adjusted model, the risk of severe COVID-19 was highest in individuals born in Asia (Odds ratio [OR] = 2.44, 95% confidence interval [CI] = 2.20-2.69), South America (OR = 2.34, 95% CI = 1.82-2.98) and Africa (OR = 2.11, 95% CI = 1.76-2.50). Post-secondary education was associated with a lower risk of severe COVID-19 (OR = 0.75, CI = 0.69-0.82) as was the highest (vs. lowest) income quintile (OR = 0.87, CI = 0.77-0.97). In the fully adjusted Cox-regression analysis birth region of Africa (OR 1.38, CI = 1.03-1.86) and high income (OR 0.75, CI 0.63-0.89) were associated with 90-day mortality. Immigrant background, educational level and income were independently associated with acquiring severe COVID-19 with need for mechanical ventilation.

Sport4Change: Adapting to COVID-19 Through Innovation

The case explores how Sport4Change will adapt its sport-for-development (SFD) programs in response to the current uncertainty presented by COVID-19. Being able to innovate program operations, implementation, and delivery is key to the success and long-term sustainability of Sport4Change, and changing program strategies needs to be done correctly given the organization’s varying locations around the world. Making such decisions requires consideration of the various contexts in which Sport4Change works, understanding diverse options to implement SFD through technological or remote means, and aligning remote delivery and operations with each SFD location and their in-person program focus and goals in order to come up with solutions to ensure SFD remains impactful during COVID-19.

Association between cardiometabolic disease and severe COVID-19: a nationwide case-control study of patients requiring invasive mechanical ventilation.

AIMS: The risks associated with diabetes, obesity and hypertension for severe COVID-19 may be confounded and differ by sociodemographic background. We assessed the risks associated with cardiometabolic factors for severe COVID-19 when accounting for socioeconomic factors and in subgroups by age, sex and region of birth. METHODS AND RESULTS: In this nationwide case-control study, 1.086 patients admitted to intensive care with COVID-19 requiring mechanical ventilation (cases), and 10.860 population-based controls matched for age, sex and district of residency were included from mandatory national registries. ORs with 95% CIs for associations between severe COVID-19 and exposures with adjustment for confounders were estimated using logistic regression. The median age was 62 years (IQR 52-70), and 3003 (24.9%) were women. Type 2 diabetes (OR, 2.3 (95% CI 1.9 to 2.7)), hypertension (OR, 1.7 (95% CI 1.5 to 2.0)), obesity (OR, 3.1 (95% CI 2.4 to 4.0)) and chronic kidney disease (OR, 2.5 (95% CI 1.7 to 3.7)) were all associated with severe COVID-19. In the younger subgroup (below 57 years), ORs were significantly higher for all cardiometabolic risk factors. The risk associated with type 2 diabetes was higher in women (p=0.001) and in patients with a region of birth outside European Union(EU) (p=0.004). CONCLUSION: Diabetes, obesity and hypertension were all independently associated with severe COVID-19 with stronger associations in the younger population. Type 2 diabetes implied a greater risk among women and in non-EU immigrants. These findings, originating from high-quality Swedish registries, may be important to direct preventive measures such as vaccination to susceptible patient groups. TRIAL REGISTRATION NUMBER: Clinicaltrial.gov (NCT04426084).

Nursing students' experiences of a pedagogical transition from campus learning to distance learning using digital tools.

BACKGROUND: The use of distance education using digital tools in higher education has increased over the last decade, particularly during the COVID-19 pandemic. Therefore, this study aimed to describe and evaluate nursing students' experiences of the pedagogical transition from traditional campus based learning to distance learning using digital tools. METHODS: The nursing course Symptom and signs of illness underwent a transition from campus based education to distance learning using digital tools because of the COVID-19 pandemic. This pedagogical transition in teaching was evaluated using both quantitative and qualitative data analysis. Focus group interviews (n = 9) were analysed using qualitative content analysis to explore students' experiences of the pedagogical transition and to construct a web-based questionnaire. The questionnaire comprised 14 items, including two open-ended questions. The questionnaire was delivered to all course participants and responses were obtained from 96 of 132 students (73%). Questionnaire data were analyzed using descriptive statistics and comments from the open-ended questions were used as quotes to highlight the quantitative data. RESULTS: The analysis of the focus group interviews extracted three main dimensions: didactic aspects of digital teaching, study environment, and students' own resources. Social interaction was an overall theme included in all three dimensions. Data from the questionnaire showed that a majority of students preferred campus based education and experienced deterioration in all investigated dimensions after the pedagogical transition. However, approximately one-third of the students appeared to prefer distance learning using digital tools. CONCLUSIONS: The main finding was that the pedagogical transition to distance education reduced the possibility for students' social interactions in their learning process. This negatively affected several aspects of their experience of distance learning using digital tools, such as reduced motivation. However, the heterogeneity in the responses suggested that a blended learning approach may offer pedagogical benefits while maintaining an advantageous level of social interaction.