The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients
Since the beginning of the COVID-19 pandemic, SARS-CoV-2 has caused a global burden for health care systems due to high morbidity and mortality rates, leading to caseloads that episodically surpass hospital resources. Due to different disease manifestations, the triage of patients at high risk for a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/3/604 |
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| author | Ian Levenfus Enrico Ullmann Katja Petrowski Jutta Rose Lars C. Huber Melina Stüssi-Helbling Macé M. Schuurmans |
| author_facet | Ian Levenfus Enrico Ullmann Katja Petrowski Jutta Rose Lars C. Huber Melina Stüssi-Helbling Macé M. Schuurmans |
| author_sort | Ian Levenfus |
| collection | DOAJ |
| description | Since the beginning of the COVID-19 pandemic, SARS-CoV-2 has caused a global burden for health care systems due to high morbidity and mortality rates, leading to caseloads that episodically surpass hospital resources. Due to different disease manifestations, the triage of patients at high risk for a poor outcome continues to be a major challenge for clinicians. The AIFELL score was developed as a simple decision instrument for emergency rooms to distinguish COVID-19 patients in severe disease stages from less severe COVID-19 and non-COVID-19 cases. In the present study, we aimed to evaluate the AIFELL score as a prediction tool for clinical deterioration and disease severity in hospitalized COVID-19 patients. During the second wave of the COVID-19 pandemic in Switzerland, we analyzed consecutively hospitalized patients at the Triemli Hospital Zurich from the end of November 2020 until mid-February 2021. Statistical analyses were performed for group comparisons and to evaluate significance. AIFELL scores of patients developing severe COVID-19 stages IIb and III during hospitalization were significantly higher upon admission compared to those patients not surpassing stages I and IIa. Group comparisons indicated significantly different AIFELL scores between each stage. In conclusion, the AIFELL score at admission was useful to predict the disease severity and progression in hospitalized COVID-19 patients. |
| first_indexed | 2024-03-09T19:57:14Z |
| format | Article |
| id | doaj.art-ac98a06b21044c778da6d7294f88f57a |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T19:57:14Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-ac98a06b21044c778da6d7294f88f57a2023-11-24T00:54:41ZengMDPI AGDiagnostics2075-44182022-02-0112360410.3390/diagnostics12030604The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized PatientsIan Levenfus0Enrico Ullmann1Katja Petrowski2Jutta Rose3Lars C. Huber4Melina Stüssi-Helbling5Macé M. Schuurmans6Department of Pulmonology, University Hospital Zurich, 8091 Zurich, SwitzerlandDepartment of Medicine, Technical University Dresden, 01307 Dresden, GermanyMedical Psychology and Sociology, Johannes Gutenberg University Mainz, 55131 Mainz, GermanyClinic for Internal Medicine, Department of Internal Medicine, City Hospital Zurich Triemli, 8063 Zurich, SwitzerlandClinic for Internal Medicine, Department of Internal Medicine, City Hospital Zurich Triemli, 8063 Zurich, SwitzerlandClinic for Internal Medicine, Department of Internal Medicine, City Hospital Zurich Triemli, 8063 Zurich, SwitzerlandDepartment of Pulmonology, University Hospital Zurich, 8091 Zurich, SwitzerlandSince the beginning of the COVID-19 pandemic, SARS-CoV-2 has caused a global burden for health care systems due to high morbidity and mortality rates, leading to caseloads that episodically surpass hospital resources. Due to different disease manifestations, the triage of patients at high risk for a poor outcome continues to be a major challenge for clinicians. The AIFELL score was developed as a simple decision instrument for emergency rooms to distinguish COVID-19 patients in severe disease stages from less severe COVID-19 and non-COVID-19 cases. In the present study, we aimed to evaluate the AIFELL score as a prediction tool for clinical deterioration and disease severity in hospitalized COVID-19 patients. During the second wave of the COVID-19 pandemic in Switzerland, we analyzed consecutively hospitalized patients at the Triemli Hospital Zurich from the end of November 2020 until mid-February 2021. Statistical analyses were performed for group comparisons and to evaluate significance. AIFELL scores of patients developing severe COVID-19 stages IIb and III during hospitalization were significantly higher upon admission compared to those patients not surpassing stages I and IIa. Group comparisons indicated significantly different AIFELL scores between each stage. In conclusion, the AIFELL score at admission was useful to predict the disease severity and progression in hospitalized COVID-19 patients.https://www.mdpi.com/2075-4418/12/3/604COVID-19SARS-CoV-2scorepredictionsevere disease |
| spellingShingle | Ian Levenfus Enrico Ullmann Katja Petrowski Jutta Rose Lars C. Huber Melina Stüssi-Helbling Macé M. Schuurmans The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients Diagnostics COVID-19 SARS-CoV-2 score prediction severe disease |
| title | The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients |
| title_full | The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients |
| title_fullStr | The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients |
| title_full_unstemmed | The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients |
| title_short | The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients |
| title_sort | aifell score as a predictor of coronavirus disease 2019 covid 19 severity and progression in hospitalized patients |
| topic | COVID-19 SARS-CoV-2 score prediction severe disease |
| url | https://www.mdpi.com/2075-4418/12/3/604 |
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