Related Experiment Video
Updated: Nov 8, 2025
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
Published on: February 16, 2022
Diagnostic Value of Hematological and Biochemical Parameters Combinations for Predicting Coronavirus Disease 2019
Dong Huang1, Huan Yang1, He Yu1
1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Insights
Two novel hematological markers, aspartate aminotransferase to neutrophil ratio index (ANRI) and AST to monocyte ratio index (AMRI), show promise for early COVID-19 diagnosis. These indicators can help stratify suspected patients, improving hospital management during outbreaks.
Area of Science:
- Medical Diagnostics
- Clinical Biochemistry
- Hematology
Background:
- COVID-19 pandemic necessitates improved hospital management and early patient identification.
- Limited healthcare capacity highlights the need for efficient diagnostic tools.
Purpose of the Study:
- To investigate hematological and biochemical parameters as early predictors for COVID-19 diagnosis.
- To identify novel biomarkers for stratifying suspected COVID-19 cases.
Main Methods:
- Retrospective, multicenter, observational study analyzing clinical data of suspected COVID-19 patients.
- Comparison of confirmed COVID-19 cases with a control group of negative RT-PCR results.
- Utilized Receiver Operating Characteristic (ROC) curves and logistic regression to evaluate hematological indexes.
Main Results:
- The aspartate aminotransferase (AST) to neutrophil ratio index (ANRI) and AST to monocyte ratio index (AMRI) demonstrated significant predictive ability (AUC 0.791 and 0.812, respectively).
- Elevated ANRI (≥ 6.03) and AMRI (≥ 36.32) at admission were identified as independent risk factors for COVID-19.
- Combinations of parameters showed superior predictive power compared to single markers.
Conclusions:
- ANRI and AMRI are novel predictors with promising capacity for diagnosing COVID-19 in suspected patients.
- These findings suggest potential for improved early detection and patient stratification.
- Further studies are recommended to validate these novel predictive markers.
Background:
The severe epidemiologic situation of COVID-19 due to the limited capacity of healthcare systems makes it necessary to improve the hospital management and early identification and stratification of patients. The aim of the study was to explore hematological and biochemical parameters at admission to the hospital as novel early predictors for diagnosis with coronavirus disease 2019 (COVID-19) among all suspected patients.
Methods:
This was a retrospective, multicenter, observational study. The clinical data of all suspected patients were analyzed. The suspected patients with negative RT-PCR results were included as the control group, and compared with confirmed patients. Receiver- operating characteristic (ROC) curves and logistic regression analyses were used to evaluate the hematological indexes.
Results:
In total, 326 confirmed COVID-19 patients and 116 control patients were included. The predictive ability of combinations of the hematological and biochemical parameters was significantly superior to that of a single parameter. The area under the ROC curve (AUC) of the aspartate aminotransferase (AST) to neutrophil ratio index (ANRI) and the AST to monocyte ratio index (AMRI) were 0.791 and 0.812, respectively. In the multivariate analysis, an ANRI ≥ 6.03(OR: 3.26, 95% CI: 1.02-10.40, P=0.046) and an AMRI ≥ 36.32(OR: 3.64. 95% CI: 1.24-10.68, P=0.02) at admission were independent risk factors related to the occurrence of COVID-19.
Conclusions:
We found two novel predictors with promising predictive capacities for COVID-19 among all suspected patients: ANRI and AMRI. Our findings need to be confirmed in further studies.
Related Concept Videos
01:13Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
01:30Pneumonia III: Complications and Assessment