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2.
Tijdschrift voor Geneeskunde en Gezondheidszorg ; 77(4), 2021.
Article in Dutch | EMBASE | ID: covidwho-1822784
3.
Acta Clin Belg ; 77(2): 241-246, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-748296

ABSTRACT

OBJECTIVES: Coronavirus disease 2019 (COVID-19) was first discovered in Wuhan, China, in December 2019, and soon spread around the entire world. As no effective treatment is known, prediction of disease severity is very important in order to estimate a patients outcome. Aim of this study was to evaluate routine hematology parameters in time after admission. METHODS: Data from routine blood analyses from confirmed COVID-19 cases admitted to the University Hospital of Leuven in Belgium were collected. COVID-19 patients (n = 197) were assigned to three groups: a 'non-ICU' group, a 'ICU' group and a 'deceased' group. A control group of 60 Influenza A (non-COVID-19) patients was also included. The parameters evaluated were platelet count (PLT, 109/L), hemoglobin concentration (Hb, g/dL), leukocyte count (LEU, 109/L), neutrophil count (NEU, %), eosinophil count (EO, %), lymphocyte count (LYM, %) and monocyte count (MONO, %). RESULTS: Deceased COVID-19 patients had significant lower platelet count, higher leukocyte/neutrophil count, and lower eosinophil/lymphocyte/monocyte count compared to recovered patients. Especially lymphocyte count showed important differences; they were significantly lower between day 9 and 12 after admission making this time window important in predicting clinical worsening of a patient. CONCLUSION: Patients with COVID-19 with poor outcome showed significant differences in results of routine hematological parameters compared with patients that recovered. Especially lymphocyte count can be helpful in the prediction of a patients outcome.


Subject(s)
COVID-19 , Hospitalization , Humans , Leukocyte Count , Neutrophils , Platelet Count , Retrospective Studies , SARS-CoV-2
4.
Clin Microbiol Infect ; 26(8): 1082-1087, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-594311

ABSTRACT

OBJECTIVES: To evaluate the diagnostic performance of seven rapid IgG/IgM tests and the Euroimmun IgA/IgG ELISA for antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in COVID-19 patients. METHODS: Specificity was evaluated in 103 samples collected before January 2020. Sensitivity and time to seropositivity was evaluated in 167 samples from 94 patients with COVID-19 confirmed with RT-PCR on nasopharyngeal swab. RESULTS: Specificity (confidence interval) of lateral flow assays (LFAs) was ≥91.3% (84.0-95.5) for IgM, ≥90.3% (82.9-94.8) for IgG, and ≥85.4% (77.2-91.1) for the combination IgM OR IgG. Specificity of the ELISA was 96.1% (90.1-98.8) for IgG and only 73.8% (64.5-81.4) for IgA. Sensitivity 14-25 days after the onset of symptoms was between ≥92.1% (78.5-98.0) and 100% (95.7-100) for IgG LFA compared to 89.5% (75.3-96.4) for IgG ELISA. Positivity of IgM OR IgG for LFA resulted in a decrease in specificity compared to IgG alone without a gain in diagnostic performance, except for VivaDiag. The results for IgM varied significantly between the LFAs with an average overall agreement of only 70% compared to 89% for IgG. The average dynamic trend to seropositivity for IgM was not shorter than for IgG. At the time of hospital admission the sensitivity of LFA was <60%. CONCLUSIONS: Sensitivity for the detection of IgG antibodies 14-25 days after the onset of symptoms was ≥92.1% for all seven LFAs compared to 89.5% for the IgG ELISA. The results for IgM varied significantly, and including IgM antibodies in addition to IgG for the interpretation of LFAs did not improve the diagnostic performance.


Subject(s)
Antibodies, Viral/analysis , Antigens, Viral/immunology , Betacoronavirus/immunology , Coronavirus Infections/diagnosis , Pneumonia, Viral/diagnosis , Adult , Aged , Aged, 80 and over , COVID-19 , Coronavirus Infections/immunology , Diagnostic Tests, Routine , Female , Humans , Immunoglobulin A/metabolism , Immunoglobulin G/metabolism , Immunoglobulin M/metabolism , Male , Middle Aged , Pandemics , Pneumonia, Viral/immunology , SARS-CoV-2 , Sensitivity and Specificity , Time Factors , Young Adult
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