Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study
Abstract In this study we aimed to evaluate the ability of IMPROVE and IMPROVE-DD scores in predicting in-hospital mortality in patients with severe COVID-19. This prospective observational study included adult patients with severe COVID-19 within 12 h from admission. We recorded patients' demo...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-17466-8 |
| _version_ | 1798038029339721728 |
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| author | Mina Adolf Helmy Lydia Magdy Milad Ahmed Hasanin Yasmin S. Elbasha Hala A. ElSabbagh Mohamed S. Elmarzouky Maha Mostafa Amr K. Abdelhakeem Mohamed Abd El-Monem Morsy |
| author_facet | Mina Adolf Helmy Lydia Magdy Milad Ahmed Hasanin Yasmin S. Elbasha Hala A. ElSabbagh Mohamed S. Elmarzouky Maha Mostafa Amr K. Abdelhakeem Mohamed Abd El-Monem Morsy |
| author_sort | Mina Adolf Helmy |
| collection | DOAJ |
| description | Abstract In this study we aimed to evaluate the ability of IMPROVE and IMPROVE-DD scores in predicting in-hospital mortality in patients with severe COVID-19. This prospective observational study included adult patients with severe COVID-19 within 12 h from admission. We recorded patients' demographic and laboratory data, Charlson comorbidity index (CCI), SpO2 at room air, acute physiology and chronic health evaluation II (APACHE II), IMPROVE score and IMPROVE-DD score. In-hospital mortality and incidence of clinical worsening (the need for invasive mechanical ventilation, vasopressors, renal replacement therapy) were recorded. Our outcomes included the ability of the IMPROVE and IMPROVE-DD to predict in-hospital mortality and clinical worsening using the area under receiver operating characteristic curve (AUC) analysis. Multivariate analysis was used to detect independent risk factors for the study outcomes. Eighty-nine patients were available for the final analysis. The IMPROVE and IMPROVE-DD score showed the highest ability for predicting in-hospital mortality (AUC [95% confidence intervals {CI}] 0.96 [0.90–0.99] and 0.96 [0.90–0.99], respectively) in comparison to other risk stratification tools (APACHE II, CCI, SpO2). The AUC (95% CI) for IMPROVE and IMPROVE-DD to predict clinical worsening were 0.80 (0.70–0.88) and 0.79 (0.69–0.87), respectively. Using multivariate analysis, IMPROVE-DD and SpO2 were the only predictors for in-hospital mortality and clinical worsening. In patients with severe COVID-19, high IMPROVE and IMOROVE-DD scores showed excellent ability to predict in-hospital mortality and clinical worsening. Independent risk factors for in-hospital mortality and clinical worsening were IMPROVE-DD and SpO2. |
| first_indexed | 2024-04-11T21:34:38Z |
| format | Article |
| id | doaj.art-1b57714b6ecf4b14aedf51a3330fb4bf |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T21:34:38Z |
| publishDate | 2022-08-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-1b57714b6ecf4b14aedf51a3330fb4bf2022-12-22T04:01:47ZengNature PortfolioScientific Reports2045-23222022-08-011211710.1038/s41598-022-17466-8Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational studyMina Adolf Helmy0Lydia Magdy Milad1Ahmed Hasanin2Yasmin S. Elbasha3Hala A. ElSabbagh4Mohamed S. Elmarzouky5Maha Mostafa6Amr K. Abdelhakeem7Mohamed Abd El-Monem Morsy8Department of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of General Surgery, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityDepartment of Anesthesia and Critical Care Medicine, Faculty of Medicine, Cairo UniversityAbstract In this study we aimed to evaluate the ability of IMPROVE and IMPROVE-DD scores in predicting in-hospital mortality in patients with severe COVID-19. This prospective observational study included adult patients with severe COVID-19 within 12 h from admission. We recorded patients' demographic and laboratory data, Charlson comorbidity index (CCI), SpO2 at room air, acute physiology and chronic health evaluation II (APACHE II), IMPROVE score and IMPROVE-DD score. In-hospital mortality and incidence of clinical worsening (the need for invasive mechanical ventilation, vasopressors, renal replacement therapy) were recorded. Our outcomes included the ability of the IMPROVE and IMPROVE-DD to predict in-hospital mortality and clinical worsening using the area under receiver operating characteristic curve (AUC) analysis. Multivariate analysis was used to detect independent risk factors for the study outcomes. Eighty-nine patients were available for the final analysis. The IMPROVE and IMPROVE-DD score showed the highest ability for predicting in-hospital mortality (AUC [95% confidence intervals {CI}] 0.96 [0.90–0.99] and 0.96 [0.90–0.99], respectively) in comparison to other risk stratification tools (APACHE II, CCI, SpO2). The AUC (95% CI) for IMPROVE and IMPROVE-DD to predict clinical worsening were 0.80 (0.70–0.88) and 0.79 (0.69–0.87), respectively. Using multivariate analysis, IMPROVE-DD and SpO2 were the only predictors for in-hospital mortality and clinical worsening. In patients with severe COVID-19, high IMPROVE and IMOROVE-DD scores showed excellent ability to predict in-hospital mortality and clinical worsening. Independent risk factors for in-hospital mortality and clinical worsening were IMPROVE-DD and SpO2.https://doi.org/10.1038/s41598-022-17466-8 |
| spellingShingle | Mina Adolf Helmy Lydia Magdy Milad Ahmed Hasanin Yasmin S. Elbasha Hala A. ElSabbagh Mohamed S. Elmarzouky Maha Mostafa Amr K. Abdelhakeem Mohamed Abd El-Monem Morsy Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study Scientific Reports |
| title | Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study |
| title_full | Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study |
| title_fullStr | Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study |
| title_full_unstemmed | Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study |
| title_short | Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study |
| title_sort | ability of improve and improve dd scores to predict outcomes in patients with severe covid 19 a prospective observational study |
| url | https://doi.org/10.1038/s41598-022-17466-8 |
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