C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19

Objectives As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to...

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Main Authors: Aliye Çelikkol, Eda Çelik Güzel, Mustafa Doğan, Berna Erdal, Ahsen Yilmaz
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2022-03-01
Series:Journal of Laboratory Physicians
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1741439
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author Aliye Çelikkol
Eda Çelik Güzel
Mustafa Doğan
Berna Erdal
Ahsen Yilmaz
author_facet Aliye Çelikkol
Eda Çelik Güzel
Mustafa Doğan
Berna Erdal
Ahsen Yilmaz
author_sort Aliye Çelikkol
collection DOAJ
description Objectives As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to the diagnosis and follow-up of COVID-19 patients, (2) the differences between the laboratory-confirmed (LC), unconfirmed (LUC), and control (C) groups, and (3) the variation between groups of acute-phase reactants and biomarkers that can be used as an indicator of disease severity and inflammation. Materials and Methods A total of 102 patients undergoing treatment with COVID-19 interim guidelines were evaluated. Reverse transcriptase-polymerase chain reaction (RT-PCR) test was positive in 56 (LC), classified as mild or severe, and negative in 46 (LUC) patients. In addition, 30 healthy subjects (C) with negative RT-PCR tests were also evaluated. All statistical analyses were performed with the SPSS 22.0 program and the p-values for significant findings were less than 0.05. Parametric/nonparametric distribution was determined by performing the Kolmogorov–Smirnov test for all groups. Student's t-test was used for variables with parametric distribution and the Mann–Whitney U-test for variables with the nonparametric distribution. A cut-off level for biomarkers was determined using the ROC (receiver operator characteristic) curve. Results In the LC group, platelet, platecrit, mean platelet volume, platelet diameter width, white blood cell, lymphocyte, eosinophil, neutrophil, immature granulocyte, immature lymphocyte, immature monocyte, large immune cell, and atypical lymphocyte counts among the complete blood count parameters of mature and immature cell counts showed a significant difference according to the C and LUC groups. C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and C-reactive protein-to-albumin ratio (CAR) indices were significantly elevated in LC patients and were significantly higher in patients classified as severe compared to mild. When CAR optimal cutoff was determined as 0.475, area under the curve was 0.934, sensitivity was 90.91%, specificity was 86.21%, positive predictive value was 92.59%, and negative predictive value was 83.33%. The diagnostic accuracy for CAR was 89.29%. Conclusion The CAR index with the highest diagnostic value and the highest predictability could be the most useful biomarker in the diagnosis and evaluation of disease severity in COVID-19 patients.
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spelling doaj.art-3701ff1a0c9443938c83ed84bba02d512022-12-22T03:17:59ZengThieme Medical and Scientific Publishers Pvt. Ltd.Journal of Laboratory Physicians0974-27270974-78262022-03-01140107408310.1055/s-0041-1741439C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19Aliye Çelikkol0Eda Çelik Güzel1Mustafa Doğan2Berna Erdal3Ahsen Yilmaz4Department of Clinical Biochemistry, Medical Faculty of Tekirdağ Namık Kemal University, Süleymanpaşa, TurkeyDepartment of Family Medicine, Medical Faculty of Tekirdağ Namık Kemal University, Süleymanpaşa, TurkeyDepartment of İnfectious Diseases and Clinical Microbiology, Çorlu State Hospital, Çorlu, TurkeyDepartment of Clinical Biochemistry, Medical Faculty of Tekirdağ Namık Kemal University, Süleymanpaşa, TurkeyDepartment of Clinical Biochemistry, Medical Faculty of Tekirdağ Namık Kemal University, Süleymanpaşa, TurkeyObjectives As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to the diagnosis and follow-up of COVID-19 patients, (2) the differences between the laboratory-confirmed (LC), unconfirmed (LUC), and control (C) groups, and (3) the variation between groups of acute-phase reactants and biomarkers that can be used as an indicator of disease severity and inflammation. Materials and Methods A total of 102 patients undergoing treatment with COVID-19 interim guidelines were evaluated. Reverse transcriptase-polymerase chain reaction (RT-PCR) test was positive in 56 (LC), classified as mild or severe, and negative in 46 (LUC) patients. In addition, 30 healthy subjects (C) with negative RT-PCR tests were also evaluated. All statistical analyses were performed with the SPSS 22.0 program and the p-values for significant findings were less than 0.05. Parametric/nonparametric distribution was determined by performing the Kolmogorov–Smirnov test for all groups. Student's t-test was used for variables with parametric distribution and the Mann–Whitney U-test for variables with the nonparametric distribution. A cut-off level for biomarkers was determined using the ROC (receiver operator characteristic) curve. Results In the LC group, platelet, platecrit, mean platelet volume, platelet diameter width, white blood cell, lymphocyte, eosinophil, neutrophil, immature granulocyte, immature lymphocyte, immature monocyte, large immune cell, and atypical lymphocyte counts among the complete blood count parameters of mature and immature cell counts showed a significant difference according to the C and LUC groups. C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and C-reactive protein-to-albumin ratio (CAR) indices were significantly elevated in LC patients and were significantly higher in patients classified as severe compared to mild. When CAR optimal cutoff was determined as 0.475, area under the curve was 0.934, sensitivity was 90.91%, specificity was 86.21%, positive predictive value was 92.59%, and negative predictive value was 83.33%. The diagnostic accuracy for CAR was 89.29%. Conclusion The CAR index with the highest diagnostic value and the highest predictability could be the most useful biomarker in the diagnosis and evaluation of disease severity in COVID-19 patients.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1741439sars-cov-2neutrophil-to-lymphocyte ratio (nlr)platelet-to-lymphocyte ratio (plr)systemic immune inflammation index (sii)c-reactive protein-to-albumin ratio (car)immature cell counts present in complete blood count
spellingShingle Aliye Çelikkol
Eda Çelik Güzel
Mustafa Doğan
Berna Erdal
Ahsen Yilmaz
C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
Journal of Laboratory Physicians
sars-cov-2
neutrophil-to-lymphocyte ratio (nlr)
platelet-to-lymphocyte ratio (plr)
systemic immune inflammation index (sii)
c-reactive protein-to-albumin ratio (car)
immature cell counts present in complete blood count
title C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
title_full C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
title_fullStr C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
title_full_unstemmed C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
title_short C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19
title_sort c reactive protein to albumin ratio as a prognostic inflammatory marker in covid 19
topic sars-cov-2
neutrophil-to-lymphocyte ratio (nlr)
platelet-to-lymphocyte ratio (plr)
systemic immune inflammation index (sii)
c-reactive protein-to-albumin ratio (car)
immature cell counts present in complete blood count
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1741439
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AT mustafadogan creactiveproteintoalbuminratioasaprognosticinflammatorymarkerincovid19
AT bernaerdal creactiveproteintoalbuminratioasaprognosticinflammatorymarkerincovid19
AT ahsenyilmaz creactiveproteintoalbuminratioasaprognosticinflammatorymarkerincovid19