Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study
The purpose of this study was to investigate whether routine blood tests and clinical characteristics can predict in-hospital mortality in COVID-19. Clinical data of 285 patients aged 59.7 ± 10.3 yrs. (males <i>n</i> = 189, females <i>n</i> = 96) were retrospectively collecte...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/4/859 |
| _version_ | 1797436053856976896 |
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| author | Bartosz Kudlinski Dominika Zgoła Marta Stolińska Magdalena Murkos Jagoda Kania Pawel Nowak Anna Noga Magdalena Wojciech Gabriel Zaborniak Agnieszka Zembron-Lacny |
| author_facet | Bartosz Kudlinski Dominika Zgoła Marta Stolińska Magdalena Murkos Jagoda Kania Pawel Nowak Anna Noga Magdalena Wojciech Gabriel Zaborniak Agnieszka Zembron-Lacny |
| author_sort | Bartosz Kudlinski |
| collection | DOAJ |
| description | The purpose of this study was to investigate whether routine blood tests and clinical characteristics can predict in-hospital mortality in COVID-19. Clinical data of 285 patients aged 59.7 ± 10.3 yrs. (males <i>n</i> = 189, females <i>n</i> = 96) were retrospectively collected from December 2020 to June 2021. Routine blood tests were recorded within the 1st hour of admission to hospital. The inflammatory variables, such as C-reactive protein (CRP), procalcitonin (PCT), neutrophils–lymphocyte ratio (NLR) and the systemic inflammatory index (SII), exceeded the reference values in all patients and were significantly higher in deceased patients (<i>n</i> = 108) compared to survivors (<i>n</i> = 177). The log-rank test for comparing two survival curves showed that patients aged ≥60.5 years, with PCT ≥ 0.188 ng/mL or NLR ≥ 11.57 10<sup>3</sup>/µL were at a greater risk of death. NLR demonstrated a high impact on the COVID-19 mortality (HR 1.317; 95%CI 1.004–1.728; <i>p</i> < 0.05), whereas CRP and SII showed no effect (HR 1.000; 95%CI 1.000–1.004; <i>p</i> = 0.085 and HR 1.078; 95%CI 0.865–1.344; <i>p</i> = 0.503, respectively). In the first Polish study including COVID-19 patients, we demonstrated that age in relation to simple parameters derived from complete blood cell count has prognostic implications in the course of COVID-19 and can identify the patients at a higher risk of in-hospital mortality. |
| first_indexed | 2024-03-09T10:57:08Z |
| format | Article |
| id | doaj.art-478d735d487f40bd8fa6884a70451548 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T10:57:08Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-478d735d487f40bd8fa6884a704515482023-12-01T01:31:50ZengMDPI AGDiagnostics2075-44182022-03-0112485910.3390/diagnostics12040859Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective StudyBartosz Kudlinski0Dominika Zgoła1Marta Stolińska2Magdalena Murkos3Jagoda Kania4Pawel Nowak5Anna Noga6Magdalena Wojciech7Gabriel Zaborniak8Agnieszka Zembron-Lacny9Department of Anaesthesiology, Intensive Care and Emergency Medicine, Collegium Medicum University of Zielona Góra, 65-417 Zielona Gora, PolandDepartment of Anaesthesiology, Intensive Care and Emergency Medicine, Collegium Medicum University of Zielona Góra, 65-417 Zielona Gora, PolandDepartment of Anaesthesiology, Intensive Care and Emergency Medicine, Collegium Medicum University of Zielona Góra, 65-417 Zielona Gora, PolandDepartment of Anaesthesiology, Intensive Care and Emergency Medicine, Collegium Medicum University of Zielona Góra, 65-417 Zielona Gora, PolandDepartment of Anaesthesiology, Intensive Care and Emergency Medicine, Collegium Medicum University of Zielona Góra, 65-417 Zielona Gora, PolandStudent Research Group, University of Zielona Gora, 65-417 Zielona Gora, PolandStudent Research Group, University of Zielona Gora, 65-417 Zielona Gora, PolandDepartment of Mathematical Statistics and Econometrics, Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra, 65-516 Zielona Gora, PolandDepartment of Mathematical Statistics and Econometrics, Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra, 65-516 Zielona Gora, PolandDepartment of Applied and Clinical Physiology, Collegium Medicum University of Zielona Gora, 28 Zyty Str., 65-417 Zielona Gora, PolandThe purpose of this study was to investigate whether routine blood tests and clinical characteristics can predict in-hospital mortality in COVID-19. Clinical data of 285 patients aged 59.7 ± 10.3 yrs. (males <i>n</i> = 189, females <i>n</i> = 96) were retrospectively collected from December 2020 to June 2021. Routine blood tests were recorded within the 1st hour of admission to hospital. The inflammatory variables, such as C-reactive protein (CRP), procalcitonin (PCT), neutrophils–lymphocyte ratio (NLR) and the systemic inflammatory index (SII), exceeded the reference values in all patients and were significantly higher in deceased patients (<i>n</i> = 108) compared to survivors (<i>n</i> = 177). The log-rank test for comparing two survival curves showed that patients aged ≥60.5 years, with PCT ≥ 0.188 ng/mL or NLR ≥ 11.57 10<sup>3</sup>/µL were at a greater risk of death. NLR demonstrated a high impact on the COVID-19 mortality (HR 1.317; 95%CI 1.004–1.728; <i>p</i> < 0.05), whereas CRP and SII showed no effect (HR 1.000; 95%CI 1.000–1.004; <i>p</i> = 0.085 and HR 1.078; 95%CI 0.865–1.344; <i>p</i> = 0.503, respectively). In the first Polish study including COVID-19 patients, we demonstrated that age in relation to simple parameters derived from complete blood cell count has prognostic implications in the course of COVID-19 and can identify the patients at a higher risk of in-hospital mortality.https://www.mdpi.com/2075-4418/12/4/859agecomorbiditieslymphocytesneutrophilssurvival analysis |
| spellingShingle | Bartosz Kudlinski Dominika Zgoła Marta Stolińska Magdalena Murkos Jagoda Kania Pawel Nowak Anna Noga Magdalena Wojciech Gabriel Zaborniak Agnieszka Zembron-Lacny Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study Diagnostics age comorbidities lymphocytes neutrophils survival analysis |
| title | Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study |
| title_full | Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study |
| title_fullStr | Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study |
| title_full_unstemmed | Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study |
| title_short | Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study |
| title_sort | systemic inflammatory predictors of in hospital mortality in covid 19 patients a retrospective study |
| topic | age comorbidities lymphocytes neutrophils survival analysis |
| url | https://www.mdpi.com/2075-4418/12/4/859 |
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