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Volume 12
Issue 3
10.3390/diagnostics12030604
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Article

The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients

by
Ian Levenfus
1,2,*,
Enrico Ullmann
3,4,5,
Katja Petrowski
6,
Jutta Rose
7,
Lars C. Huber
7,
Melina Stüssi-Helbling
7,† and
Macé M. Schuurmans
1,2,†
1
Department of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland
2
Faculty of Medicine, University of Zurich, 8032 Zurich, Switzerland
3
Department of Medicine, Technical University Dresden, 01307 Dresden, Germany
4
Department of Pediatric Psychiatry, Psychotherapy and Psychosomatics, University of Leipzig Medical Center, 04103 Leipzig, Germany
5
Department of Medical Biology, South Ural State University, 454080 Chelyabinsk, Russia
6
Medical Psychology and Sociology, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
7
Clinic for Internal Medicine, Department of Internal Medicine, City Hospital Zurich Triemli, 8063 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Academic Editor: Anna Baraniak
Diagnostics 2022, 12(3), 604; https://doi.org/10.3390/diagnostics12030604
Received: 31 January 2022 / Revised: 16 February 2022 / Accepted: 23 February 2022 / Published: 27 February 2022
(This article belongs to the Special Issue SARS-CoV-2 Identification by Diagnostic/Medical Laboratory: Methods, Statistics, Interesting Cases)
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Abstract

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. View Full-Text
Keywords: COVID-19; SARS-CoV-2; score; prediction; severe disease COVID-19; SARS-CoV-2; score; prediction; severe disease
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MDPI and ACS Style

Levenfus, I.; Ullmann, E.; Petrowski, K.; Rose, J.; Huber, L.C.; Stüssi-Helbling, M.; Schuurmans, M.M. The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients. Diagnostics 2022, 12, 604. https://doi.org/10.3390/diagnostics12030604

AMA Style

Levenfus I, Ullmann E, Petrowski K, Rose J, Huber LC, Stüssi-Helbling M, Schuurmans MM. The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients. Diagnostics. 2022; 12(3):604. https://doi.org/10.3390/diagnostics12030604

Chicago/Turabian Style

Levenfus, Ian, Enrico Ullmann, Katja Petrowski, Jutta Rose, Lars C. Huber, Melina Stüssi-Helbling, and Macé M. Schuurmans. 2022. "The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients" Diagnostics 12, no. 3: 604. https://doi.org/10.3390/diagnostics12030604

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