The predictive and diagnostic accuracy of long pentraxin-3 in COVID-19 pneumonia


Journal

Turkish journal of medical sciences
ISSN: 1303-6165
Titre abrégé: Turk J Med Sci
Pays: Turkey
ID NLM: 9441758

Informations de publication

Date de publication:
30 04 2021
Historique:
received: 03 11 2020
accepted: 12 12 2020
entrez: 14 12 2020
pubmed: 15 12 2020
medline: 8 5 2021
Statut: epublish

Résumé

The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis. This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 and August 15, 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients. Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value (IQR) was 3.66 ng/mL (0.9–27.9) in all patients, 3.3 ng/mL (0.9–27.9) in survivors and 3.91 ng/mL (1.9–23.2) in nonsurvivors which was significantly higher (P = 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525– 0.767, P = 0.045). Also, we found significant cut-off values with respect to D-dimer, D-dimer/PTX-3, high-sensitivity troponin, high- sensitivity troponin/PTX-3, lymphocyte, PTX-3/lymphocyte, procalcitonin, procalcitonin/PTX-3, CRP, and CRP/PTX-3 (P < 0.05). In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

Sections du résumé

Background/aim
The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis.
Materials and methods
This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 and August 15, 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients.
Results
Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value (IQR) was 3.66 ng/mL (0.9–27.9) in all patients, 3.3 ng/mL (0.9–27.9) in survivors and 3.91 ng/mL (1.9–23.2) in nonsurvivors which was significantly higher (P = 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525– 0.767, P = 0.045). Also, we found significant cut-off values with respect to D-dimer, D-dimer/PTX-3, high-sensitivity troponin, high- sensitivity troponin/PTX-3, lymphocyte, PTX-3/lymphocyte, procalcitonin, procalcitonin/PTX-3, CRP, and CRP/PTX-3 (P < 0.05).
Conclusion
In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

Identifiants

pubmed: 33315349
doi: 10.3906/sag-2011-32
pmc: PMC8219078
doi:

Substances chimiques

Biomarkers 0
Fibrin Fibrinogen Degradation Products 0
Procalcitonin 0
Serum Amyloid P-Component 0
Troponin 0
fibrin fragment D 0
PTX3 protein 148591-49-5
C-Reactive Protein 9007-41-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

448-453

Informations de copyright

This work is licensed under a Creative Commons Attribution 4.0 International License.

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest.

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Auteurs

Ahmed Bilal Genç (AB)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Selçuk Yaylacı (S)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Hamad Dheir (H)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Ahmed Cihad Genç (AC)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Kubilay İşsever (K)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Deniz Çekiç (D)

Department of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Havva Kocayiğit (H)

Department of Intensive Care, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Erdem Çokluk (E)

Department of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Alper Karacan (A)

Department of Radiology, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Mehmet Ramazan Şekeroğlu (MR)

Department of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Hande Toptan Çakar (H)

Department of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, Turkey

Ertuğrul Güçlü (E)

Department of Microbiology, Faculty of Medicine, Sakarya University, Sakarya, Turkey

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Classifications MeSH