Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study
Objective: Coronavirus disease-2019 (COVID-19) remains a significant challenge in emergency services worldwide. This study investigated the relationship between hematocrit (Htc), hemoglobin (Hb), amylase, lactate, and interleukin 6 (IL-6) levels and hospitalization and mortality in patients diagnose...
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| Format: | Article |
| Language: | English |
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Türkiye Acil Tıp Vakfı
2024-12-01
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| Series: | Global Emergency and Critical Care |
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| Online Access: | https://globemcc.com/articles/effect-of-biomarkers-on-predicting-mortality-in-covid-19-pneumonias-a-retrospective-clinical-study/doi/globecc.galenos.2024.28190 |
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| author | Tamer Durdu Habibe Selmin Özensoy Hakan Oğuztürk |
| author_facet | Tamer Durdu Habibe Selmin Özensoy Hakan Oğuztürk |
| author_sort | Tamer Durdu |
| collection | DOAJ |
| description | Objective: Coronavirus disease-2019 (COVID-19) remains a significant challenge in emergency services worldwide. This study investigated the relationship between hematocrit (Htc), hemoglobin (Hb), amylase, lactate, and interleukin 6 (IL-6) levels and hospitalization and mortality in patients diagnosed with COVID-19.
Materials and Methods: Htc, Hb, amylase, lipase, lactate, and Interleukin 6 (IL-6) levels of patients with a positive COVID-19 polymerase chain reaction (PCR) test (Bio-speedy® Severe acute respiratory syndrome-Coronavirus-2 Triple Gene Reverse transcription quantitative PCR, Türkiye) who presented to the emergency department were analyzed. Hospitalizations and short-term (28 days) mortality were retrospectively examined. The data were analyzed using SPSS for Windows 20.0. Normality analysis of continuous data was conducted using the Shapiro-Wilk test. Multiple logistic regression analysis was performed to analyze predictors of mortality and discharge.
Results: Data from 6,627 emergency department patients were examined. The gender (p<0.001), age (p<0.001), Hb (p<0.001), lactate (p<0.001), and lipase (p<0.001) levels of the hospitalized patients. Increasing age was associated with mortality (p<0.001). In the analysis of biomarkers, a decrease in Hb and Htc (p<0.001; p=0.038) and an increase in lactate, lipase, amylase, and IL-6 (p<0.001; p<0.001; p=0.022; p<0.001) were determined to be associated with mortality. The area under the receiver operating characteristic curve for the mortality model was calculated as 0.724, with specificity and sensitivity determined as 91.8% and 97.5%, respectively.
Conclusion: Age, amylase, lipase, serum lactate, and interleukin-6 levels, when calculated together, are important predictors of both mortality and hospitalization in COVID-19 pneumonia. |
| format | Article |
| id | doaj-art-6c0c4e439705482eb6df07b8cd3233ad |
| institution | DOAJ |
| issn | 2822-4078 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Türkiye Acil Tıp Vakfı |
| record_format | Article |
| series | Global Emergency and Critical Care |
| spelling | doaj-art-6c0c4e439705482eb6df07b8cd3233ad2025-08-20T02:40:02ZengTürkiye Acil Tıp VakfıGlobal Emergency and Critical Care2822-40782024-12-013312112610.4274/globecc.galenos.2024.28190Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical StudyTamer Durdu0https://orcid.org/0000-0002-4321-1698Habibe Selmin Özensoy1https://orcid.org/0000-0001-9261-2669Hakan Oğuztürk2https://orcid.org/0000-0002-9800-1428University of Health Sciences Türkiye Ankara City Hospital, Clinic of Emergency Medicine, Ankara, TürkiyeUniversity of Health Sciences Türkiye Ankara City Hospital, Clinic of Emergency Medicine, Ankara, TürkiyeUniversity of Health Sciences Türkiye Ankara City Hospital, Clinic of Emergency Medicine, Ankara, TürkiyeObjective: Coronavirus disease-2019 (COVID-19) remains a significant challenge in emergency services worldwide. This study investigated the relationship between hematocrit (Htc), hemoglobin (Hb), amylase, lactate, and interleukin 6 (IL-6) levels and hospitalization and mortality in patients diagnosed with COVID-19. Materials and Methods: Htc, Hb, amylase, lipase, lactate, and Interleukin 6 (IL-6) levels of patients with a positive COVID-19 polymerase chain reaction (PCR) test (Bio-speedy® Severe acute respiratory syndrome-Coronavirus-2 Triple Gene Reverse transcription quantitative PCR, Türkiye) who presented to the emergency department were analyzed. Hospitalizations and short-term (28 days) mortality were retrospectively examined. The data were analyzed using SPSS for Windows 20.0. Normality analysis of continuous data was conducted using the Shapiro-Wilk test. Multiple logistic regression analysis was performed to analyze predictors of mortality and discharge. Results: Data from 6,627 emergency department patients were examined. The gender (p<0.001), age (p<0.001), Hb (p<0.001), lactate (p<0.001), and lipase (p<0.001) levels of the hospitalized patients. Increasing age was associated with mortality (p<0.001). In the analysis of biomarkers, a decrease in Hb and Htc (p<0.001; p=0.038) and an increase in lactate, lipase, amylase, and IL-6 (p<0.001; p<0.001; p=0.022; p<0.001) were determined to be associated with mortality. The area under the receiver operating characteristic curve for the mortality model was calculated as 0.724, with specificity and sensitivity determined as 91.8% and 97.5%, respectively. Conclusion: Age, amylase, lipase, serum lactate, and interleukin-6 levels, when calculated together, are important predictors of both mortality and hospitalization in COVID-19 pneumonia.https://globemcc.com/articles/effect-of-biomarkers-on-predicting-mortality-in-covid-19-pneumonias-a-retrospective-clinical-study/doi/globecc.galenos.2024.28190biomarkerscovid-19emergency departmentpneumonia |
| spellingShingle | Tamer Durdu Habibe Selmin Özensoy Hakan Oğuztürk Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study Global Emergency and Critical Care biomarkers covid-19 emergency department pneumonia |
| title | Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study |
| title_full | Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study |
| title_fullStr | Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study |
| title_full_unstemmed | Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study |
| title_short | Effect of Biomarkers on Predicting Mortality in COVID-19 Pneumonias: A Retrospective Clinical Study |
| title_sort | effect of biomarkers on predicting mortality in covid 19 pneumonias a retrospective clinical study |
| topic | biomarkers covid-19 emergency department pneumonia |
| url | https://globemcc.com/articles/effect-of-biomarkers-on-predicting-mortality-in-covid-19-pneumonias-a-retrospective-clinical-study/doi/globecc.galenos.2024.28190 |
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