Admission eGFR predicts in-hospital mortality independently of admission glycemia and C-peptide in patients with type 2 diabetes mellitus and COVID-19.

OBJECTIVE: Type 2 diabetes mellitus (T2DM) and impaired kidney function are associated with a higher risk of poor outcomes of coronavirus disease 2019 (COVID-19). We conducted a retrospective study in hospitalized T2DM patients with COVID-19 to assess the association between in-hospital mortality and admission values of different hematological/biochemical parameters, including estimated glomerular filtration rate (eGFR), plasma glucose and C-peptide (the latter serving as a marker of beta-cell function). METHODS: The study included T2DM patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection who were consecutively admitted to our Institution between 1 October 2020 and 1 April 2021. RESULTS: Patients (n = 74) were categorized into survivors (n = 55) and non-survivors (n = 19). Non-survivors exhibited significantly higher median white blood cell (WBC) count, D-dimer, neutrophil-to-lymphocyte ratio, high-sensitivity C-reactive protein (hsCRP), and procalcitonin levels, as well as significantly lower median serum 25-hydroxyvitamin D [25(OH)D] levels compared to survivors. Non-survivors exhibited significantly higher median admission plasma glucose (APG) values compared to survivors (210 vs. 166 mg/dL; p = .026). There was no statistically significant difference in median values of (random) plasma C-peptide between non-survivors and survivors (3.55 vs. 3.24 ng/mL; p = .906). A significantly higher percentage of patients with an eGFR < 60 mL/min/1.73 m2 was observed in the non-survivor group as compared to the survivor group (57.9% vs. 23.6%; p = .006). A multivariate analysis performed by a logistic regression model after adjusting for major confounders (age, sex, body mass index, major comorbidities) showed a significant inverse association between admission eGFR values and risk of in-hospital mortality (OR, 0.956; 95% CI, 0.931-0.983; p = .001). We also found a significant positive association between admission WBC count and risk of in-hospital mortality (OR, 1.210; 95% CI, 1.043-1.404; p = .011). CONCLUSIONS: Admission eGFR and WBC count predict in-hospital COVID-19 mortality among T2DM patients, independently of traditional risk factors, APG and random plasma C-peptide. Hospitalized patients with COVID-19 and comorbid T2DM associated with impaired kidney function at admission should be considered at high risk for adverse outcomes and death.

Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients.

Lymphopenia has been consistently reported as associated with severe coronavirus disease 2019 (COVID-19). Several studies have described a profound decline in all T-cell subtypes in hospitalized patients with severe and critical COVID-19. The aim of this study was to assess the role of T-lymphocyte subset absolute counts measured at ward admission in predicting 30-day mortality in COVID-19 hospitalized patients, validating a new prognostic score, the T-Lymphocyte Subset Index (TLSI, range 0-2), based on the number of T-cell subset (CD4+ and CD8+) absolute counts that are below prespecified cutoffs. These cutoff values derive from a previously published work of our research group at Policlinico Tor Vergata, Rome, Italy: CD3+CD4+ < 369 cells/µL, CD3+CD8+ < 194 cells/µL. In the present single-center retrospective study, T-cell subsets were assessed on admission to the infectious diseases ward. Statistical analysis was performed using JASP (Version 0.16.2. JASP Team, 2022, Amsterdam, The Netherlands) and Prism8 (version 8.2.1. GraphPad Software, San Diego, CA, USA). Clinical and laboratory parameters of 296 adult patients hospitalized because of COVID-19 were analyzed. The overall mortality rate was 22.3% (66/296). Survivors (S) had a statistically significant lower TLSI score compared to non-survivors (NS) (p < 0.001). Patients with increasing TLSI scores had proportionally higher rates of 30-day mortality (p < 0.0001). In the multivariable logistic analysis, the TLSI was an independent predictor of in-hospital 30-day mortality (OR: 1.893, p = 0.003). Survival analysis showed that patients with a TLSI > 0 had an increased risk of death compared to patients with a TLSI = 0 (hazard ratio: 2.83, p < 0.0001). The TLSI was confirmed as an early and independent predictor of COVID-19 in-hospital 30-day mortality.

Mild clinical manifestations of SARS-CoV-2 related pneumonia in two patients with multiple sclerosis under treatment with ocrelizumab.

BACKGROUND: Recently SARS-CoV-2 has spread worldwide causing a pandemic. Little is known about disease severity in immunocompromised hosts and people receiving disease modifying therapies (DMTs). In the last decades DMTs have been widely employed, and ocrelizumab represents one of the newest therapies for the relapsing remitting and progressive forms of multiple sclerosis (MS). OBJECTIVES: to describe SARS-CoV-2 related pneumonia in two MS patients under ocrelizumab treatment. METHODS: Case series. RESULTS: Patients showed a mild clinical course of SARS-CoV-2 related pneumonia without complications or sequelae. CONCLUSION: Ocrelizumab treatment is not necessarily associated to increased severity in MS patients with SARS-CoV-2 infection.