Prognostic risk scores for hospitalized COVID-19 patients during the omicron period

Aim: During the COVID-19 pandemic, as the number of cases and deaths increased various algorithms were started to used to facilitate patient management. This study aimed to assess the usefulness of the CALL, CHOSEN, HA2T2, and ANDC scores in prognostic assessment and to investigate the establishment of a new scoring system, referred to as CoNTroLAC. Materials and methods: We retrospectively analyzed hospitalized COVID-19 patients. Demographic and laboratory parameters, including comorbidity status, neutrophil-to-lymphocyte ratio (NLR), troponin, LDH, age, and CRP, were assessed in relation to mortality. Mortality distributions across CALL, HA₂T₂, and ANDC risk groups were compared with original reports. A new prognostic score, CoNTroLAC, was constructed using six admission-based parameters using ROC analysis. Results: Mortality was significantly associated with comorbidities, high NLR, elevated troponin, increased LDH, older age, and CRP >10 µg/mL. CALL, HA₂T₂, and ANDC scores demonstrated mortality stratification consistent with findings in their original cohorts. CoNTroLAC, integrating these six parameters, achieved excellent prognostic performance with an AUROC of 0.915. A cut-off score of 12.5 yielded 82.9% sensitivity and 84.7% specificity. Conclusion: In our Omicron-era cohort, CALL, HA₂T₂, and ANDC scores retained prognostic validity comparable to their original derivation studies. The newly developed CoNTroLAC score, incorporating comorbidity, NLR, troponin, LDH, age, and CRP, demonstrated excellent discrimination and may provide a simple, practical tool for early mortality risk stratification in hospitalized COVID-19 patients.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Clinics and Laboratory
Published
2025-09-30
DOI
https://doi.org/10.18663/tjcl.1551968
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic risk scores for hospitalized COVID-19 patients during the omicron period

Cumhur Artuk, Yavuz Çekli, İrem Medeni, Elif Doğan
Turkish Journal of Clinics and Laboratory
COVID-19 Clinical Research Studies
article

Prognostic risk scores for hospitalized COVID-19 patients during the omicron period

Cumhur Artuk, Yavuz Çekli, İrem Medeni, Elif Doğan
article en

Abstract

Aim: During the COVID-19 pandemic, as the number of cases and deaths increased various algorithms were started to used to facilitate patient management. This study aimed to assess the usefulness of the CALL, CHOSEN, HA2T2, and ANDC scores in prognostic assessment and to investigate the establishment of a new scoring system, referred to as CoNTroLAC. Materials and methods: We retrospectively analyzed hospitalized COVID-19 patients. Demographic and laboratory parameters, including comorbidity status, neutrophil-to-lymphocyte ratio (NLR), troponin, LDH, age, and CRP, were assessed in relation to mortality. Mortality distributions across CALL, HA₂T₂, and ANDC risk groups were compared with original reports. A new prognostic score, CoNTroLAC, was constructed using six admission-based parameters using ROC analysis. Results: Mortality was significantly associated with comorbidities, high NLR, elevated troponin, increased LDH, older age, and CRP >10 µg/mL. CALL, HA₂T₂, and ANDC scores demonstrated mortality stratification consistent with findings in their original cohorts. CoNTroLAC, integrating these six parameters, achieved excellent prognostic performance with an AUROC of 0.915. A cut-off score of 12.5 yielded 82.9% sensitivity and 84.7% specificity. Conclusion: In our Omicron-era cohort, CALL, HA₂T₂, and ANDC scores retained prognostic validity comparable to their original derivation studies. The newly developed CoNTroLAC score, incorporating comorbidity, NLR, troponin, LDH, age, and CRP, demonstrated excellent discrimination and may provide a simple, practical tool for early mortality risk stratification in hospitalized COVID-19 patients.

Turkish Journal of Clinics and LaboratoryVol. 16(3)
Ministry of Health (TR), Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 68%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.