Assessment of SARS-CoV-2 Infection According to Previous Metabolic Status and Its Association with Mortality and Post-Acute COVID-19.

Background. SARS-CoV-2 infection was analyzed according to previous metabolic status and its association with mortality and post-acute COVID-19. Methods. A population-based observational retrospective study was conducted on a cohort of 110,726 patients aged 12 years or more who were diagnosed with COVID-19 infection between June 1st, 2021, and 28 February 2022 on the island of Gran Canaria, Spain. Results. In the 347 patients who died, the combination of advanced age, male sex, cancer, immunosuppressive therapy, coronary heart disease, elevated total cholesterol and reduced high-density lipoprotein cholesterol (HDL-C) was strongly predictive of mortality (p < 0.05). In the 555 patients who developed post-acute COVID-19, the persistence of symptoms was most frequent in women, older subjects and patients with obstructive sleep apnea syndrome, asthma, elevated fasting glucose levels or elevated total cholesterol (p < 0.05). A complete vaccination schedule was associated with lower mortality (incidence rate ratio (IRR) 0.5, 95%CI 0.39−0.64; p < 0.05) and post-acute COVID-19 (IRR 0.37, 95%CI 0.31−0.44; p < 0.05). Conclusions. Elevated HDL-C and elevated total cholesterol were significantly associated with COVID-19 mortality. Elevated fasting glucose levels and elevated total cholesterol were risk factors for the development of post-acute COVID-19.

[Effect of influenza vaccination in Primary Healthcare workers and the general population in Gran Canaria: A cross-sectional study]. / Efecto de la vacunación antigripal en trabajadores de atención primaria y población general de Gran Canaria: estudio transversal.

OBJECTIVE: To estimate the effect of the influenza vaccination in Primary Healthcare workers and the general population vaccinated during the 2015/2016 campaign. DESIGN: Cross-sectional study. SETTING: All the Primary Healthcare centres within the Gran Canaria healthcare region. PARTICIPANTS: A total of 1,868 Primary Healthcare workers (33.5% men; 66.5% women) and 795,605 individuals from the general population (49.4% men; 50.6% women). PRINCIPAL MEASUREMENTS: The outcome variables in Primary Healthcare workers were: influenza cases reported to the Epidemiological Surveillance System, and the sick leave days due to illness. In the general population: reported flu cases and vaccination coverage in connection with the vaccination status of the healthcare professional. The magnitude of association between vaccination and morbidity was estimated applying logistic regression models. RESULTS: Although not statistically significant, healthcare professionals that were not vaccinated had 1.7-fold increase in the risk of having influenza than those vaccinated. In the general population the association was significant in the female population (OR: 1.3; 95%CI: 1.1-1.5). Population coverage was significantly higher when both the doctor and nurse were vaccinated (OR: 1.3; 95%CI: 1.3-1.3), and reported flu cases decreased when the nurse was vaccinated (OR: 0.9; 95%CI: 0.9-0.9). CONCLUSION: A possible protective effect of influenza vaccination was observed in the general population, as well as an influence of Primary Healthcare workers on the patients regarding this. Even so, the low coverages registered point to a need to implement measures that may lead to a more favourable attitude towards influenza vaccination.