Evaluation of prognostic markers in patients infected with SARS-CoV-2
Prognostic markers are the biomarkers used to measure the disease progression and patient outcome regardless of treatment in coronavirus disease 2019 (COVID-19). This study aimed to analyze laboratory parameters as prognostic markers for the early identification of disease severity. In this study, 1...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-10-01
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| Series: | Open Life Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/biol-2022-0502 |
| _version_ | 1811194144593281024 |
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| author | Mandal Dipendra Kumar Chhusyabaga Mandira Pokhrel Sushant Bhattarai Bibek Raj Aryal Suraj Nepal Richa Bastola Anup Baral Soma Kanta Bhatt Mahendra Prasad Marahatta Sujan Babu Sah Shiv Kumar |
| author_facet | Mandal Dipendra Kumar Chhusyabaga Mandira Pokhrel Sushant Bhattarai Bibek Raj Aryal Suraj Nepal Richa Bastola Anup Baral Soma Kanta Bhatt Mahendra Prasad Marahatta Sujan Babu Sah Shiv Kumar |
| author_sort | Mandal Dipendra Kumar |
| collection | DOAJ |
| description | Prognostic markers are the biomarkers used to measure the disease progression and patient outcome regardless of treatment in coronavirus disease 2019 (COVID-19). This study aimed to analyze laboratory parameters as prognostic markers for the early identification of disease severity. In this study, 165 patients attending Sukraraj Tropical and Infectious Disease Hospital with COVID-19 were enrolled and divided into severe and non-severe groups. The demographic data, underlying co-morbidities, and laboratory findings were analyzed and compared between severe and non-severe cases. The correlation between the disease criticality and laboratory parameters was analyzed. Cut-off values of parameters for severe patients were speculated through the receiver operating characteristics (ROC) curve, and regression analysis was performed to determine the risk factors. Patients with severe COVID-19 infection had significantly higher absolute neutrophil count, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), ferritin, positive carbohydrate reactive protein (CRP), glucose, urea, creatinine, and aspartate aminotransferase, while lower absolute lymphocyte count, absolute eosinophil count (AEC), and red blood cell count in comparison to non-severe infection. ROC analysis gave a cut-off value (sensitivity, specificity) of age, AEC, NLR, PLR, and ferritin as 47.5 years (70.2, 64.7%), 335 cells/mm3 (74, 67%) 3.3 (68.4, 63.7%), 129 (77.2, 51%), and 241 ng/mL (74.0%, 65.0%) respectively. Risk factor analysis showed higher age, low AEC, high ferritin, and positive CRP as independent risk factors associated with severe COVID-19 infection. Hematological and inflammatory markers, including novel NLR and PLR, should be assessed to aid clinicians in the early identification of severe cases, prioritization of cases, and effective management to decrease the mortality of COVID-19 patients. |
| first_indexed | 2024-04-12T00:20:59Z |
| format | Article |
| id | doaj.art-39adef7ad62943599bbd5d16840dd71d |
| institution | Directory Open Access Journal |
| issn | 2391-5412 |
| language | English |
| last_indexed | 2024-04-12T00:20:59Z |
| publishDate | 2022-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Life Sciences |
| spelling | doaj.art-39adef7ad62943599bbd5d16840dd71d2022-12-22T03:55:43ZengDe GruyterOpen Life Sciences2391-54122022-10-011711360137010.1515/biol-2022-0502Evaluation of prognostic markers in patients infected with SARS-CoV-2Mandal Dipendra Kumar0Chhusyabaga Mandira1Pokhrel Sushant2Bhattarai Bibek Raj3Aryal Suraj4Nepal Richa5Bastola Anup6Baral Soma Kanta7Bhatt Mahendra Prasad8Marahatta Sujan Babu9Sah Shiv Kumar10Department of Lab Medicine, Sukraraj Tropical and Infectious Diseases Hospital, Teku, G.P.O. Box: 15201, Soalteemode, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Lab Medicine, Sukraraj Tropical and Infectious Diseases Hospital, Teku, G.P.O. Box: 15201, Soalteemode, Kathmandu, NepalDepartment of Lab Medicine, Sukraraj Tropical and Infectious Diseases Hospital, Teku, G.P.O. Box: 15201, Soalteemode, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, NepalDepartment of Pharmacy, Purbanchal University, Little Buddha College of Health Science, Minbhawan, Kathmandu, NepalPrognostic markers are the biomarkers used to measure the disease progression and patient outcome regardless of treatment in coronavirus disease 2019 (COVID-19). This study aimed to analyze laboratory parameters as prognostic markers for the early identification of disease severity. In this study, 165 patients attending Sukraraj Tropical and Infectious Disease Hospital with COVID-19 were enrolled and divided into severe and non-severe groups. The demographic data, underlying co-morbidities, and laboratory findings were analyzed and compared between severe and non-severe cases. The correlation between the disease criticality and laboratory parameters was analyzed. Cut-off values of parameters for severe patients were speculated through the receiver operating characteristics (ROC) curve, and regression analysis was performed to determine the risk factors. Patients with severe COVID-19 infection had significantly higher absolute neutrophil count, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), ferritin, positive carbohydrate reactive protein (CRP), glucose, urea, creatinine, and aspartate aminotransferase, while lower absolute lymphocyte count, absolute eosinophil count (AEC), and red blood cell count in comparison to non-severe infection. ROC analysis gave a cut-off value (sensitivity, specificity) of age, AEC, NLR, PLR, and ferritin as 47.5 years (70.2, 64.7%), 335 cells/mm3 (74, 67%) 3.3 (68.4, 63.7%), 129 (77.2, 51%), and 241 ng/mL (74.0%, 65.0%) respectively. Risk factor analysis showed higher age, low AEC, high ferritin, and positive CRP as independent risk factors associated with severe COVID-19 infection. Hematological and inflammatory markers, including novel NLR and PLR, should be assessed to aid clinicians in the early identification of severe cases, prioritization of cases, and effective management to decrease the mortality of COVID-19 patients.https://doi.org/10.1515/biol-2022-0502covid-19severitynlrplrcrp |
| spellingShingle | Mandal Dipendra Kumar Chhusyabaga Mandira Pokhrel Sushant Bhattarai Bibek Raj Aryal Suraj Nepal Richa Bastola Anup Baral Soma Kanta Bhatt Mahendra Prasad Marahatta Sujan Babu Sah Shiv Kumar Evaluation of prognostic markers in patients infected with SARS-CoV-2 Open Life Sciences covid-19 severity nlr plr crp |
| title | Evaluation of prognostic markers in patients infected with SARS-CoV-2 |
| title_full | Evaluation of prognostic markers in patients infected with SARS-CoV-2 |
| title_fullStr | Evaluation of prognostic markers in patients infected with SARS-CoV-2 |
| title_full_unstemmed | Evaluation of prognostic markers in patients infected with SARS-CoV-2 |
| title_short | Evaluation of prognostic markers in patients infected with SARS-CoV-2 |
| title_sort | evaluation of prognostic markers in patients infected with sars cov 2 |
| topic | covid-19 severity nlr plr crp |
| url | https://doi.org/10.1515/biol-2022-0502 |
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