Article ; Online: Diagnostic and prognostic utility of WBC counts and cell population data in patients with COVID-19.
International journal of laboratory hematology
2020 Volume 43 Suppl 1, Page(s) 124–128
Abstract: Introduction: Early diagnosis and identification of potential critical cases for timely treatment are crucial for COVID-19 patients. The aim of this study was to analyze the diagnostic and prognostic implications of WBC and cell population data (CPD) ... ...
| Abstract | Introduction: Early diagnosis and identification of potential critical cases for timely treatment are crucial for COVID-19 patients. The aim of this study was to analyze the diagnostic and prognostic implications of WBC and cell population data (CPD) abnormalities related to COVID-19 at disease onset. Methods: Baseline WBC counts and CPD data were analyzed in one hundred COVID-19 patients presenting to emergency department and subsequently discharged (n=49), admitted (n=51) or deceased (n=22), and in 47 healthy subjects. Results: Lymphopenia and eosinopenia were observed in all COVID-19 patients, with more intensity in the admitted and deceased groups, that also presented increased WBC and neutrophil counts. On CPD analysis, COVID-19 was associated with increased volume of neutrophils, lymphocytes, and monocytes, whereas conductivity was decreased for neutrophils and increased for lymphocytes. The ROC curve analysis showed good performance for lymphocyte counts in predicting COVID-19 diagnosis (AUC=0.858), for neutrophil counts in predicting admission for COVID-19 (AUC=0.744) and for monocytes volume in predicting COVID-19 diagnosis (AUC=0.837). Conclusion: WBC counts and CPD parameters at disease onset in COVID-19 patients can improve diagnostic characterization and aid in the discrimination between severe and nonsevere presentations. |
|---|---|
| MeSH term(s) | Adult ; Area Under Curve ; COVID-19/blood ; COVID-19/diagnosis ; COVID-19/mortality ; COVID-19 Testing ; Electric Conductivity ; Flow Cytometry ; Humans ; Inpatients ; Leukocyte Count ; Outpatients ; Pandemics ; Prognosis ; ROC Curve ; Retrospective Studies ; Risk ; SARS-CoV-2 ; Sensitivity and Specificity ; Survival Analysis |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-11-15 |
| Publishing country | England |
| Document type | Comparative Study ; Journal Article |
| ZDB-ID | 2268590-X |
| ISSN | 1751-553X ; 1751-5521 ; 0141-9854 |
| ISSN (online) | 1751-553X |
| ISSN | 1751-5521 ; 0141-9854 |
| DOI | 10.1111/ijlh.13395 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
Full text online
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
| Zs.A 1499: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.