Lessons learned from predicting hospital admission criteria comparing two COVID-19 waves: An Emergency Department’s perspective

Introduction Emergency Departments (ED) play a central role in providing healthcare during crises such as pandemics. Evaluation of admission criteria under the circumstances of wave-dynamics is the bottleneck question for both clinical practice and planning on a structural level.Methods This study compares patient characteristics, clinical biomarkers and outcomes during wave 1 (W1) and wave 2 (W2) of the COVID-19 pandemic at two tertiary care EDs in Berlin. We validated parameters predicting hospital admission by a CART-analysis of W1 in W2 and compared the findings to a CART-model derived from W2 by a decision curve analysis.Results A total of 1,204 patients with suspected COVID-19 presented in W1 and 1,440 in W2; 106 in W1 and 722 in W2 tested positive. Patients in W2 were older (>65 years, W1: 22.2%; W2: 34.6%) and multimorbid. Mortality of positive tested (W1: 1.9%; W2:8.6%) rose in W2. The admission-predicting parameters O2 saturation <95%, dyspnea, and cardiovascular comorbidities of W1 were applicable with a sensitivity of 98.5% (CI-95%: 96.3% - 99.4%) and specificity of 68.4% (61.0%-74.9%) in W2.Conclusions Our results show transferability of admission-criteria despite changing pandemic conditions and serve as lessons learned to support future pandemic preparedness and capacity planning.

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Publication Details

Journal
Biomarkers
Published
2026-09-16
DOI
https://doi.org/10.1080/1354750x.2026.2725728
Primary Topic
Emergency and Acute Care Studies
Type
article
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article

Lessons learned from predicting hospital admission criteria comparing two COVID-19 waves: An Emergency Department’s perspective

Martin Möckel, Mareen Pigorsch, Kira Louisa Boldt, Samipa Pudasaini et al.
Biomarkers
Emergency and Acute Care Studies
article

Lessons learned from predicting hospital admission criteria comparing two COVID-19 waves: An Emergency Department’s perspective

Martin Möckel, Mareen Pigorsch, Kira Louisa Boldt, Samipa Pudasaini, Jennifer Hitzek, Anna Slagman, Manfred M. Mayer
article en

Abstract

Introduction Emergency Departments (ED) play a central role in providing healthcare during crises such as pandemics. Evaluation of admission criteria under the circumstances of wave-dynamics is the bottleneck question for both clinical practice and planning on a structural level.Methods This study compares patient characteristics, clinical biomarkers and outcomes during wave 1 (W1) and wave 2 (W2) of the COVID-19 pandemic at two tertiary care EDs in Berlin. We validated parameters predicting hospital admission by a CART-analysis of W1 in W2 and compared the findings to a CART-model derived from W2 by a decision curve analysis.Results A total of 1,204 patients with suspected COVID-19 presented in W1 and 1,440 in W2; 106 in W1 and 722 in W2 tested positive. Patients in W2 were older (>65 years, W1: 22.2%; W2: 34.6%) and multimorbid. Mortality of positive tested (W1: 1.9%; W2:8.6%) rose in W2. The admission-predicting parameters O2 saturation <95%, dyspnea, and cardiovascular comorbidities of W1 were applicable with a sensitivity of 98.5% (CI-95%: 96.3% - 99.4%) and specificity of 68.4% (61.0%-74.9%) in W2.Conclusions Our results show transferability of admission-criteria despite changing pandemic conditions and serve as lessons learned to support future pandemic preparedness and capacity planning.

Biomarkers
Humboldt-Universität zu Berlin (DE)
Openalex Percentile: Top 7%
Emergency and Acute Care Studies
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Lessons learned from predicting hospital admission criteria comparing two COVID-19 waves: An Emergency Department’s perspective — Martin Möckel, Mareen Pigorsch, et al. · Biomarkers (2026) | TGRS Research Map | TGRS