Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital
Introduction An array of routinely accessible serum biomarkers was assessed to explore their overall impact on severity and mortality in coronavirus disease 2019. Materials and Methods A retrospective analysis of 1,233 adults was conducted. The study groups comprised 127 nonsurvivors and...
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| Format: | Article |
| Language: | English |
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Thieme Medical and Scientific Publishers Pvt. Ltd.
2022-09-01
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| Series: | Journal of Laboratory Physicians |
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| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1742631 |
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| author | Shrishtidhar Prasad Suprava Patel Ajoy Kumar Behera Naik Gitismita Seema Shah Rachita Nanda Eli Mohapatra |
| author_facet | Shrishtidhar Prasad Suprava Patel Ajoy Kumar Behera Naik Gitismita Seema Shah Rachita Nanda Eli Mohapatra |
| author_sort | Shrishtidhar Prasad |
| collection | DOAJ |
| description | Introduction An array of routinely accessible serum biomarkers was assessed to explore their overall impact on severity and mortality in coronavirus disease 2019.
Materials and Methods A retrospective analysis of 1,233 adults was conducted. The study groups comprised 127 nonsurvivors and 1,106 survivors. Data for demographic details, clinical presentations, and laboratory reports were recorded from the medical record section. The predictors were analyzed for their influence on mortality.
Results The mean (+ standard deviation) age of the patients in the nonsurvivor group was 58.8 (13.8) years. The mean age (56.4 years) was highest in severe grade patients. The odds ratio for death was 2.72 times for patients above the age of 40 years. About 46% of nonsurvivors died within 5 days of admission. Males were found to be more prone to death than females by a factor of 1.36. Serum urea depicted highest sensitivity (85%) for nonsurvival at 52.5 mg/dL. Serum albumin (3.23 g/dL), albumin-to-globulin ratio (0.97), and C-reactive protein-to albumin ratio (CAR) (2.08) showed a sensitivity of more than 70% for mortality outcomes. The high hazard ratio (HR) for deceased patients with hyperkalemia was 2.419 (95% confidence interval [CI] = 1.96–2.99; p < 0.001). The risk for nonsurvival was increased with elevated serum creatinine by 15.6% and uric acid by 21.7% (p < 0.001). The HR for hypoalbuminemia was 0.254 (95% CI: 0.196–0.33; p < 0.001) and CAR was 1.319 (95% CI: 1.246–1.397; p < 0.001). Saturation of oxygen (p < 0.001), lactate dehydrogenase (p = 0.006), ferritin (p = 0.004), hyperuricemia (p = 0.027), hyperkalemia (p < 0.001), hypoalbuminemia (p = 0.002), and high CAR values (0.031) served as potential predictors for mortality.
Conclusion Adjusting for all the predictor variables, serum uric acid, potassium, albumin, and CAR values at the time of admission were affirmed as the potential biomarkers for mortality. |
| first_indexed | 2024-04-11T09:49:14Z |
| format | Article |
| id | doaj.art-0870890ac35e4e38a7ccb7289663f15f |
| institution | Directory Open Access Journal |
| issn | 0974-2727 0974-7826 |
| language | English |
| last_indexed | 2024-04-11T09:49:14Z |
| publishDate | 2022-09-01 |
| publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
| record_format | Article |
| series | Journal of Laboratory Physicians |
| spelling | doaj.art-0870890ac35e4e38a7ccb7289663f15f2022-12-22T04:30:51ZengThieme Medical and Scientific Publishers Pvt. Ltd.Journal of Laboratory Physicians0974-27270974-78262022-09-01140329530510.1055/s-0042-1742631Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care HospitalShrishtidhar Prasad0Suprava Patel1Ajoy Kumar Behera2Naik Gitismita3Seema Shah4Rachita Nanda5Eli Mohapatra6Department of Biochemistry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Biochemistry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Biochemistry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Biochemistry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaDepartment of Biochemistry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, IndiaIntroduction An array of routinely accessible serum biomarkers was assessed to explore their overall impact on severity and mortality in coronavirus disease 2019. Materials and Methods A retrospective analysis of 1,233 adults was conducted. The study groups comprised 127 nonsurvivors and 1,106 survivors. Data for demographic details, clinical presentations, and laboratory reports were recorded from the medical record section. The predictors were analyzed for their influence on mortality. Results The mean (+ standard deviation) age of the patients in the nonsurvivor group was 58.8 (13.8) years. The mean age (56.4 years) was highest in severe grade patients. The odds ratio for death was 2.72 times for patients above the age of 40 years. About 46% of nonsurvivors died within 5 days of admission. Males were found to be more prone to death than females by a factor of 1.36. Serum urea depicted highest sensitivity (85%) for nonsurvival at 52.5 mg/dL. Serum albumin (3.23 g/dL), albumin-to-globulin ratio (0.97), and C-reactive protein-to albumin ratio (CAR) (2.08) showed a sensitivity of more than 70% for mortality outcomes. The high hazard ratio (HR) for deceased patients with hyperkalemia was 2.419 (95% confidence interval [CI] = 1.96–2.99; p < 0.001). The risk for nonsurvival was increased with elevated serum creatinine by 15.6% and uric acid by 21.7% (p < 0.001). The HR for hypoalbuminemia was 0.254 (95% CI: 0.196–0.33; p < 0.001) and CAR was 1.319 (95% CI: 1.246–1.397; p < 0.001). Saturation of oxygen (p < 0.001), lactate dehydrogenase (p = 0.006), ferritin (p = 0.004), hyperuricemia (p = 0.027), hyperkalemia (p < 0.001), hypoalbuminemia (p = 0.002), and high CAR values (0.031) served as potential predictors for mortality. Conclusion Adjusting for all the predictor variables, serum uric acid, potassium, albumin, and CAR values at the time of admission were affirmed as the potential biomarkers for mortality.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1742631total clinical severity scoreserum markersmortality predictorsensitivity and specificityprimary biomarkers. |
| spellingShingle | Shrishtidhar Prasad Suprava Patel Ajoy Kumar Behera Naik Gitismita Seema Shah Rachita Nanda Eli Mohapatra Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital Journal of Laboratory Physicians total clinical severity score serum markers mortality predictor sensitivity and specificity primary biomarkers. |
| title | Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital |
| title_full | Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital |
| title_fullStr | Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital |
| title_full_unstemmed | Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital |
| title_short | Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital |
| title_sort | early biochemical markers in predicting the clinical outcome of covid 19 patients admitted in tertiary care hospital |
| topic | total clinical severity score serum markers mortality predictor sensitivity and specificity primary biomarkers. |
| url | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1742631 |
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