Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems
Objective: In this study, we investigated whether scoring systems determine COVID- 19 severity. Materials and Methods: COVID-19 patients hospitalized between 01.09.2020 and 31.04.2021 were retrospectively assessed. The National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), Rapid...
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| Format: | Article |
| Language: | English |
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Galenos Yayinevi
2024-06-01
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| Series: | Türk Yoğun Bakim Derneği Dergisi |
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| Online Access: | https://www.turkishjic.org/articles/predicting-mechanical-ventilation-intensive-care-unit-admission-and-mortality-in-covid-19-patients-comparison-of-seven-different-scoring-systems/doi/tybd.galenos.2023.09327 |
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| author | Tuba İlgar Sudem Mahmutoğlu Çolak Kübra Akyüz Gülsün Çakır Odabaş Süleyman Koç Aybegüm Özşahin Ayça Telatar Özcan Yavaşi |
| author_facet | Tuba İlgar Sudem Mahmutoğlu Çolak Kübra Akyüz Gülsün Çakır Odabaş Süleyman Koç Aybegüm Özşahin Ayça Telatar Özcan Yavaşi |
| author_sort | Tuba İlgar |
| collection | DOAJ |
| description | Objective: In this study, we investigated whether scoring systems determine COVID- 19 severity.
Materials and Methods: COVID-19 patients hospitalized between 01.09.2020 and 31.04.2021 were retrospectively assessed. The National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), Quick Sequential Organ Failure Assessment Score (q-SOFA), CURB-65, MuLBSTA, and ISARIC 4C scores on admission day were calculated. Scoring systems’ ability to predict mechanical ventilation (MV) need, intensive care unit (ICU) admission, and 30-day mortality were assessed.
Results: A total of 292 patients were included; 137 (46.9%) were female, and the mean age was 62.5±15.4 years. 69 (23.6%) patients required ICU admission, 45 (15.4%) needed MV, and 49 (16.8%) died within 30 days. No relationship was found between qSOFA and MV need (p=0.167), but a statistically significant relationship was found between other scoring systems and MV need, ICU admission, and 30-day mortality (p<0.05). ISARIC-4C (optimal cut-off >5.5) and NEWS (optimal cut-off >3.5) had the highest area under the curve in ROC curve analyses, whereas qSOFA had the lowest.
Conclusion: The severity of COVID-19 could be estimated by using these scoring systems, especially ISARIC-4C and NEWS, at the first admission. Thus, mortality and morbidity would be reduced by making the necessary interventions earlier. |
| format | Article |
| id | doaj-art-ac41b191b6c14ca7b92806763bb58037 |
| institution | Kabale University |
| issn | 2146-6416 2147-267X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Galenos Yayinevi |
| record_format | Article |
| series | Türk Yoğun Bakim Derneği Dergisi |
| spelling | doaj-art-ac41b191b6c14ca7b92806763bb580372025-08-20T03:39:11ZengGalenos YayineviTürk Yoğun Bakim Derneği Dergisi2146-64162147-267X2024-06-0122211612110.4274/tybd.galenos.2023.09327Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring SystemsTuba İlgar0https://orcid.org/0000-0003-2476-8295Sudem Mahmutoğlu Çolak1https://orcid.org/0000-0001-7214-2305Kübra Akyüz2https://orcid.org/0000-0002-4952-1689Gülsün Çakır Odabaş3https://orcid.org/0000-0002-9815-8150Süleyman Koç4https://orcid.org/0000-0003-0225-2124Aybegüm Özşahin5https://orcid.org/0000-0003-4500-8594Ayça Telatar6https://orcid.org/0000-0001-8929-4217Özcan Yavaşi7https://orcid.org/0000-0001-8641-7031Recep Tayyip Erdoğan University Faculty of Medicine Department of Infectious Diseases and Clinical Microbiology, Rize, TurkeyRecep Tayyip Erdoğan University Faculty of Medicine Department of Infectious Diseases and Clinical Microbiology, Rize, TurkeyRize State Hospital Clinic of Pulmonology, Rize, TurkeyRize State Hospital Clinic of Pulmonology, Rize, TurkeyRize State Hospital Clinic of Infectious Diseases and Clinical Microbiology, Rize, TurkeyRecep Tayyip Erdoğan University Faculty of Medicine Department of Infectious Diseases and Clinical Microbiology, Rize, TurkeyRize State Hospital Clinic of Anesthesiology and Reanimation, Rize, TurkeyRecep Tayyip Erdoğan University Faculty of Medicine Department of Emergency Medicine, Rize, TurkeyObjective: In this study, we investigated whether scoring systems determine COVID- 19 severity. Materials and Methods: COVID-19 patients hospitalized between 01.09.2020 and 31.04.2021 were retrospectively assessed. The National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), Quick Sequential Organ Failure Assessment Score (q-SOFA), CURB-65, MuLBSTA, and ISARIC 4C scores on admission day were calculated. Scoring systems’ ability to predict mechanical ventilation (MV) need, intensive care unit (ICU) admission, and 30-day mortality were assessed. Results: A total of 292 patients were included; 137 (46.9%) were female, and the mean age was 62.5±15.4 years. 69 (23.6%) patients required ICU admission, 45 (15.4%) needed MV, and 49 (16.8%) died within 30 days. No relationship was found between qSOFA and MV need (p=0.167), but a statistically significant relationship was found between other scoring systems and MV need, ICU admission, and 30-day mortality (p<0.05). ISARIC-4C (optimal cut-off >5.5) and NEWS (optimal cut-off >3.5) had the highest area under the curve in ROC curve analyses, whereas qSOFA had the lowest. Conclusion: The severity of COVID-19 could be estimated by using these scoring systems, especially ISARIC-4C and NEWS, at the first admission. Thus, mortality and morbidity would be reduced by making the necessary interventions earlier.https://www.turkishjic.org/articles/predicting-mechanical-ventilation-intensive-care-unit-admission-and-mortality-in-covid-19-patients-comparison-of-seven-different-scoring-systems/doi/tybd.galenos.2023.09327covid-19isaric-4cmortalitynewsscoring systems |
| spellingShingle | Tuba İlgar Sudem Mahmutoğlu Çolak Kübra Akyüz Gülsün Çakır Odabaş Süleyman Koç Aybegüm Özşahin Ayça Telatar Özcan Yavaşi Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems Türk Yoğun Bakim Derneği Dergisi covid-19 isaric-4c mortality news scoring systems |
| title | Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems |
| title_full | Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems |
| title_fullStr | Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems |
| title_full_unstemmed | Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems |
| title_short | Predicting Mechanical Ventilation, Intensive Care Unit Admission, and Mortality in COVID-19 Patients: Comparison of Seven Different Scoring Systems |
| title_sort | predicting mechanical ventilation intensive care unit admission and mortality in covid 19 patients comparison of seven different scoring systems |
| topic | covid-19 isaric-4c mortality news scoring systems |
| url | https://www.turkishjic.org/articles/predicting-mechanical-ventilation-intensive-care-unit-admission-and-mortality-in-covid-19-patients-comparison-of-seven-different-scoring-systems/doi/tybd.galenos.2023.09327 |
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