A new haematocytometric index: Predicting severity and mortality risk value in COVID-19 patients

Autor: Muhittin Serdar, Özlem Demirelce, Mustafa Serteser, Meltem Kilercik, Parvana Mikailova
Přispěvatelé: Acibadem University Dspace
Jazyk: angličtina
Rok vydání: 2021
Předmět:
RNA viruses
Male
Viral Diseases
Multivariate analysis
Turkey
Epidemiology
Physiology
Neutrophils
Coronaviruses
Severity of Illness Index
Monocytes
White Blood Cells
Hemoglobins
Medical Conditions
Animal Cells
Risk Factors
Red Blood Cells
Medicine and Health Sciences
Lymphocytes
Pathology and laboratory medicine
Multidisciplinary
Hematology
medicine.diagnostic_test
Complete blood count
Medical microbiology
Middle Aged
Prognosis
Body Fluids
Infectious Diseases
Blood
Area Under Curve
Viruses
Medicine
Female
Anatomy
Cellular Types
SARS CoV 2
Pathogens
Research Article
Platelets
Adult
medicine.medical_specialty
SARS coronavirus
Immune Cells
Science
Immunology
Microbiology
Internal medicine
Severity of illness
medicine
Humans
Neutrophil to lymphocyte ratio
Risk factor
Aged
Retrospective Studies
Blood Cells
business.industry
Platelet Count
SARS-CoV-2
Organisms
Viral pathogens
Biology and Life Sciences
COVID-19
Red blood cell distribution width
Retrospective cohort study
Covid 19
Cell Biology
Microbial pathogens
Blood Cell Count
ROC Curve
Medical Risk Factors
business
Laboratories
Zdroj: PLoS ONE, Vol 16, Iss 8, p e0254073 (2021)
PLoS ONE, Vol 16, Iss 8 (2021)
PLoS ONE
ISSN: 1932-6203
Popis: Introduction Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 virus, is a major public health concern spanning from healthy carriers to patients with life-threatening conditions. Although most of COVID-19 patients have mild-to-moderate clinical symptoms, some patients have severe pneumonia leading to death. Therefore, the early prediction of disease prognosis and severity is crucial in COVID-19 patients. The main objective of this study is to evaluate the haemocytometric parameters and identify severity score associated with SARS-CoV-2 infection. Methods Clinical and laboratory records were retrospectively reviewed from 97 cases of COVID-19 admitted to hospitals in Istanbul, Turkey. The patient groups were subdivided into three major groups: Group 1 (Non-critical): 59 patients, Group 2 (Critical-Survivors): 23 patients and Group 3 (Critical-Non-survivors):15 patients. These data was tested for correlation, including with derived haemocytometric parameters. The blood analyses were performed the Sysmex XN-series automated hematology analyser using standard laboratory protocols. All statistical testing was undertaken using Analyse-it software. Results 97 patients with COVID-19 disease and 935 sequential complete blood count (CBC-Diff) measurements (days 0–30) were included in the final analyses. Multivariate analysis demonstrated that red cell distribution width (RDW) (>13.7), neutrophil to lymphocyte ratio (NLR) (4.4), Hemoglobin (Hgb) (5.2), Plateletcount (PLT) (>142 x103/L) and RDW (>14) were important haemocytometric parameters, and the mortality risk value created by their combination had the highest AUC value (AUC = 0.911, 95% CI, 0886–0.931). Trend analysis of CBC-Diff parameters over 30 days of hospitalization, NLR on day 2, MNR on day 4, RDW on day 6 and PLT on day 7 of admission were found to be the best time related parameters in discrimination non-critical (mild-moderate) patient group from critical (severe and non-survivor) patient group. Conclusion NLR is a strong predictor for the prognosis for severe COVID-19 patients when the cut-off chosen was 4.4, the combined mortality risk factor COVID-19 disease generated from RDW-CV, NLR, MNR and PLT is best as a mortality haematocytometric index.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje