Hypoosmolar and hyperosmolar COVID-19 patients are predisposed to dismal clinical outcomes.

We aimed to investigate the associations of hypo- and hyperosmolarity at hospital admission with clinical characteristics and outcomes in 5645 consecutive hospitalized COVID-19 patients treated at a tertiary-level institution. Serum osmolarity was calculated as 2x Na (mmol/L) + urea (mmol/L) + glucose (mmol/L), with normal range from 275 to 295 mOsm/L. Median serum osmolarity was 292.9 mOsm/L with 51.8% normoosmolar, 5.3% hypoosmolar and 42.9% hyperosmolar patients present at the time of hospital admission. Hypoosmolarity was driven by hyponatremia, and was associated with the presence of chronic liver disease, liver cirrhosis, active malignancy and epilepsy. Hyperosmolarity was driven by an increase in urea and glucose and was associated with the presence of chronic metabolic and cardiovascular comorbidities. Both hypo- and hyperosmolar patients presented with more severe COVID-19 symptoms, higher inflammatory status, and experienced higher mortality in comparison to normoosmolar patients. In multivariate analysis, hypoosmolarity (adjusted odds ratio (aOR)=1.39, p = 0.024) and hyperosmolarity (aOR = 1.9, p < 0.001) remained significantly associated with higher mortality independently of older age, male sex, higher Charlson Comorbidity Index and more severe COVID-19. Disruptions in serum osmolarity are frequent in COVID-19 patients, may be easy to detect and target therapeutically, and thus potentially moderate associateds poor prognosis.

Investigating the role of obstructive pulmonary diseases and eosinophil count at admission on all-cause mortality in SARS-CoV-2 patients : A single center registry-based retrospective cohort study.

INTRODUCTION: The impact of asthma and chronic obstructive pulmonary disease (COPD) in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV­2) infection is not clearly defined. Blood eosinophil count is a standard diagnostic test which, according to the previously published literature, might have a potential prognostic role on mortality in patients with SARS-CoV­2 infection. AIM: To investigate the potential prognostic value of peripheral blood eosinophil count on all-cause mortality of patients hospitalized with SARS-CoV­2 infection, as well as to assess the impact of asthma or COPD premorbidity on all-cause mortality. MATERIAL AND METHODS: We conducted a retrospective registry-based cohort study. Survival analysis was performed by employing the Cox proportional hazards regression model at 30 days of follow-up. Prognostic value of eosinophil count on all-cause mortality was assessed using receiver-operating characteristic (ROC) curve analysis. RESULTS: A total of 5653 participants were included in the study. Our model did not reveal that pre-existing asthma or COPD is a statistically significant covariate for all-cause mortality but, indicated that higher eosinophil count at admission might have a protective effect (hazard ratio, HR 0.13 (95% confidence interval, CI 0.06-0.27), p = 0.0001). ROC curve analysis indicates cut-off value of 20 cells/mm3 (81% specificity; 30.9% sensitivity). CONCLUSION: Our results indicate that eosinophil count at hospital admission might have a potential prognostic role for all-cause mortality at 30 days of follow-up; however this was not demonstrated for pre-existing obstructive lung diseases.