Assessment of the hematologic factors as a prognostic factor in COVID-19 patients
Introduction: Identifying laboratory predictors of disease progression should be a priority in current COVID-19 studies, which leads to an appropriate treatment for patients and reduce the risk of severe or critical illness. In this study we tend to analyze the hematologic and biochemical findings o...
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Tabriz University of Medical Sciences Press
2024-08-01
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| Series: | Journal of Research in Clinical Medicine |
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| Online Access: | https://jrcm.tbzmed.ac.ir/PDF/jrcm-12-18.pdf |
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| author | Arezoo Fathalizadeh Aysa Rezabakhsh Fateme Tahmasbi Jalal Farshbafi Nezhad Zoghi Pinar Safari Samad Shams Vahdati |
| author_facet | Arezoo Fathalizadeh Aysa Rezabakhsh Fateme Tahmasbi Jalal Farshbafi Nezhad Zoghi Pinar Safari Samad Shams Vahdati |
| author_sort | Arezoo Fathalizadeh |
| collection | DOAJ |
| description | Introduction: Identifying laboratory predictors of disease progression should be a priority in current COVID-19 studies, which leads to an appropriate treatment for patients and reduce the risk of severe or critical illness. In this study we tend to analyze the hematologic and biochemical findings of COVID-19 patients as an easy-to-get diagnostic factor that can become the first choice for disease monitoring and the evaluation of general conditions. Methods: In this retrospective study, all patients with positive COVID-19 diagnosis that admitted to the emergency department, from 1st of April 2020, to 30th June, 2020 were included. For all patients, CBC, differential, urea, serum creatinine, and CRP were collected. Data analysis was performed using IBM® SPSS® Statistics 19.0 software. Pearson correlation and spearman correlation were used to analyze quantitative and qualitative data correlations respectively. Diagnostic ability of the variables was identified by their ROC curves. Results: A total number of 977 patients were included in this study. The median and mode of the age of the population are 50 and 29 respectively. ROC curves for diagnostic ability indicated that, Urea and creatinine have the highest diagnostic values with its optimum sensitivity and specificity for urea=62.5 mg/dL and creatinine=2.05 mg/dL, with sensitivities of 87.5% and 81.3%, and specificities of 80.6% and 82.1% respectively. Conclusion: The results from the current study show that no chemical or hematologic factor can properly detect COVID-19 in patients. Also, hematologic factors cannot determine patients’ prognosis; however creatinine and urea are able to estimate patients’ prognosis. Therefore, it is recommended to focus on the kidney injuries in COVID-10 patients for predicting their prognosis. |
| format | Article |
| id | doaj-art-eeb097157a264d9f91aa71565ac51cf6 |
| institution | DOAJ |
| issn | 2717-0616 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Tabriz University of Medical Sciences Press |
| record_format | Article |
| series | Journal of Research in Clinical Medicine |
| spelling | doaj-art-eeb097157a264d9f91aa71565ac51cf62025-08-20T02:57:55ZengTabriz University of Medical Sciences PressJournal of Research in Clinical Medicine2717-06162024-08-01121181810.34172/jrcm.34635jrcm-34635Assessment of the hematologic factors as a prognostic factor in COVID-19 patientsArezoo Fathalizadeh0Aysa Rezabakhsh1Fateme Tahmasbi2Jalal Farshbafi Nezhad Zoghi3Pinar Safari4Samad Shams Vahdati5Student Research Committee, Tabriz University of Medical Sciences, Tabriz, IranCardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, IranStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, IranEmergency and Trauma Care Research Center, Tabriz University of Medical Sciences, Tabriz, IranEmergency and Trauma Care Research Center, Tabriz University of Medical Sciences, Tabriz, IranEmergency and Trauma Care Research Center, Tabriz University of Medical Sciences, Tabriz, IranIntroduction: Identifying laboratory predictors of disease progression should be a priority in current COVID-19 studies, which leads to an appropriate treatment for patients and reduce the risk of severe or critical illness. In this study we tend to analyze the hematologic and biochemical findings of COVID-19 patients as an easy-to-get diagnostic factor that can become the first choice for disease monitoring and the evaluation of general conditions. Methods: In this retrospective study, all patients with positive COVID-19 diagnosis that admitted to the emergency department, from 1st of April 2020, to 30th June, 2020 were included. For all patients, CBC, differential, urea, serum creatinine, and CRP were collected. Data analysis was performed using IBM® SPSS® Statistics 19.0 software. Pearson correlation and spearman correlation were used to analyze quantitative and qualitative data correlations respectively. Diagnostic ability of the variables was identified by their ROC curves. Results: A total number of 977 patients were included in this study. The median and mode of the age of the population are 50 and 29 respectively. ROC curves for diagnostic ability indicated that, Urea and creatinine have the highest diagnostic values with its optimum sensitivity and specificity for urea=62.5 mg/dL and creatinine=2.05 mg/dL, with sensitivities of 87.5% and 81.3%, and specificities of 80.6% and 82.1% respectively. Conclusion: The results from the current study show that no chemical or hematologic factor can properly detect COVID-19 in patients. Also, hematologic factors cannot determine patients’ prognosis; however creatinine and urea are able to estimate patients’ prognosis. Therefore, it is recommended to focus on the kidney injuries in COVID-10 patients for predicting their prognosis.https://jrcm.tbzmed.ac.ir/PDF/jrcm-12-18.pdfcovid-19prognosisserologic tests |
| spellingShingle | Arezoo Fathalizadeh Aysa Rezabakhsh Fateme Tahmasbi Jalal Farshbafi Nezhad Zoghi Pinar Safari Samad Shams Vahdati Assessment of the hematologic factors as a prognostic factor in COVID-19 patients Journal of Research in Clinical Medicine covid-19 prognosis serologic tests |
| title | Assessment of the hematologic factors as a prognostic factor in COVID-19 patients |
| title_full | Assessment of the hematologic factors as a prognostic factor in COVID-19 patients |
| title_fullStr | Assessment of the hematologic factors as a prognostic factor in COVID-19 patients |
| title_full_unstemmed | Assessment of the hematologic factors as a prognostic factor in COVID-19 patients |
| title_short | Assessment of the hematologic factors as a prognostic factor in COVID-19 patients |
| title_sort | assessment of the hematologic factors as a prognostic factor in covid 19 patients |
| topic | covid-19 prognosis serologic tests |
| url | https://jrcm.tbzmed.ac.ir/PDF/jrcm-12-18.pdf |
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