Severity of COVID-19 among Hospitalized Patients: Omicron Remains a Severe Threat for Immunocompromised Hosts.

The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in the general population in the context of a relatively high immunity gained through the early waves of coronavirus disease 19 (COVID-19), and vaccination campaigns. Despite this context, a significant number of patients were hospitalized, and identifying the risk factors associated with severe disease in the Omicron era is critical for targeting further preventive, and curative interventions. We retrospectively analyzed the individual medical records of 1501 SARS-CoV-2 positive hospitalized patients between 13 December 2021, and 13 February 2022, in Belgium, of which 187 (12.5%) were infected with Delta, and 1036 (69.0%) with Omicron. Unvaccinated adults showed an increased risk of moderate/severe/critical/fatal COVID-19 (crude OR 1.54; 95% CI 1.09-2.16) compared to vaccinated patients, whether infected with Omicron or Delta. In adults infected with Omicron and moderate/severe/critical/fatal COVID-19 (n = 323), immunocompromised patients showed an increased risk of in-hospital mortality related to COVID-19 (adjusted OR 2.42; 95% CI 1.39-4.22), compared to non-immunocompromised patients. The upcoming impact of the pandemic will be defined by evolving viral variants, and the immune system status of the population. The observations support that, in the context of an intrinsically less virulent variant, vaccination and underlying patient immunity remain the main drivers of severe disease.

Performance of Abbott Alinity hq hematology analyzer for automated cell counting of body fluids.

INTRODUCTION: Body fluid cell counting and differentiation provide essential information for diagnosis and monitoring of diverse pathologies. We evaluated the performance of the newly launched Abbott Alinity hq hematology analyzer for automated cell counting in body fluids and compared red blood cell (RBC) and total nucleated cell (TNC) counts with the Cell-Dyn Sapphire automated hematology analyzer. Differential counts were compared with microscopic differentiation on cytocentrifuged preparations. METHODS: Background concentration limits, limit of detection (LOD), linearity, imprecision, functional sensitivity and carryover were evaluated. For method comparison, we collected 172 body fluids (17 continuous ambulatory peritoneal dialysis fluids, 56 cerebrospinal fluids and 99 serous fluids). RESULTS: Background concentration limits were ≤1000 cells/µL for RBC counts and ≤3 cells/µL for TNC counts. The LOD was 1000 RBC/µL and 5 TNC/µL. Results from linear regression analysis revealed excellent linearity. Functional sensitivity was 3000 cells/µL for RBC counts and 50 cells/µL for TNC counts. Carryover was 0.6% and 0.1% for TNC and RBC, respectively. The Alinity hq shows good clinical performance. CONCLUSION: We demonstrated comparable performance for body fluid cell counting between the Alinity hq analyzer and the Cell-Dyn Sapphire. The Alinity hq can be very useful as a screening tool for body fluid cell counting.

A biological profile for diagnosis and outcome of COVID-19 patients.

Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker's kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.