Multicenter validation of longitudinal SOFA-based prognostic models for ICU triage during scarcity in mechanically ventilated COVID-19 patients

Abstract The COVID-19 pandemic has highlighted the need for evidence-based allocation of scarce intensive care unit (ICU) resources during periods of extreme capacity strain. Although age-based criteria have been proposed as a last resort non-medical allocation strategy in crises, incorporating longitudinal changes in a patient's clinical condition may improve medical triage. We therefore evaluated whether longitudinal sequential organ failure assessment (SOFA) trajectories could improve prognostic assessment and theoretical ICU resource utilization compared with an age-based approach. We developed and externally validated three logistic regression models using three Dutch ICU cohorts of mechanically ventilated COVID-19 patients admitted during the first waves of the pandemic: (1) SOFA score on day 1, (2) SOFA trajectory up to day 3, and (3) SOFA trajectory up to day 6 after initiation of mechanical ventilation. The models were trained on the development cohort (Maastricht University Medical Center, n = 143) and validated in two hospitals of comparable ICU size, Rijnstate Hospital, Arnhem (n = 216) and St. Antonius Hospital, Nieuwegein (n = 221). Model performance was compared with age-based triage on the date of intubation and assessed using the area under the receiver operating characteristic curve (AUROC), calibration plots, and decision matrices that evaluated the trade-offs between percentage of bed days gained and false positives (patients predicted to die, but who survived). Incorporating longitudinal SOFA data improved discrimination, with AUROC increasing from 0.71 (day 1 model) to 0.78 (day 3) and 0.89 (day 6) in the development cohort, with similar results in the external validation cohorts (AUROC up to 0.82 for the day 6 model). Age-based triage yielded the greatest theoretical capacity gains, but was associated with substantially more false positives. In contrast, longitudinal SOFA assessment up to day 6 resulted in fewer false positives, while preserving clinically relevant theoretical ICU capacity gains. The longitudinal SOFA-based trajectory model improved prognostic discrimination compared with the age-based triage model in critically ill COVID-19 patients. These findings suggest that longitudinal SOFA-assessment up to six days after intubation may improve prognostic support during prolonged ICU scarcity and warrant further evaluation of longitudinal SOFA trajectories as a potential component of ICU triage protocols during future healthcare crises.

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Journal
Scientific Reports
Published
2026-09-29
DOI
https://doi.org/10.1038/s41598-026-73660-y
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
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Multicenter validation of longitudinal SOFA-based prognostic models for ICU triage during scarcity in mechanically ventilated COVID-19 patients

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Sepsis Diagnosis and Treatment
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Multicenter validation of longitudinal SOFA-based prognostic models for ICU triage during scarcity in mechanically ventilated COVID-19 patients

Iwan C.C. van der Horst, Mark Vincent Koning, Hazra S. Moeniralam, Bas C. T. van Bussel, Frank van Rosmalen, Thom J. Wilbers, Hafez Ismaili M’hamdi, Jan-Willem E. M. Sels, Sander M. J. van Kuijk, Mike Zwartkruis, Jip W T M de Kok, Anthonius F.J. de Bruin
article en

Abstract

Abstract The COVID-19 pandemic has highlighted the need for evidence-based allocation of scarce intensive care unit (ICU) resources during periods of extreme capacity strain. Although age-based criteria have been proposed as a last resort non-medical allocation strategy in crises, incorporating longitudinal changes in a patient's clinical condition may improve medical triage. We therefore evaluated whether longitudinal sequential organ failure assessment (SOFA) trajectories could improve prognostic assessment and theoretical ICU resource utilization compared with an age-based approach. We developed and externally validated three logistic regression models using three Dutch ICU cohorts of mechanically ventilated COVID-19 patients admitted during the first waves of the pandemic: (1) SOFA score on day 1, (2) SOFA trajectory up to day 3, and (3) SOFA trajectory up to day 6 after initiation of mechanical ventilation. The models were trained on the development cohort (Maastricht University Medical Center, n = 143) and validated in two hospitals of comparable ICU size, Rijnstate Hospital, Arnhem (n = 216) and St. Antonius Hospital, Nieuwegein (n = 221). Model performance was compared with age-based triage on the date of intubation and assessed using the area under the receiver operating characteristic curve (AUROC), calibration plots, and decision matrices that evaluated the trade-offs between percentage of bed days gained and false positives (patients predicted to die, but who survived). Incorporating longitudinal SOFA data improved discrimination, with AUROC increasing from 0.71 (day 1 model) to 0.78 (day 3) and 0.89 (day 6) in the development cohort, with similar results in the external validation cohorts (AUROC up to 0.82 for the day 6 model). Age-based triage yielded the greatest theoretical capacity gains, but was associated with substantially more false positives. In contrast, longitudinal SOFA assessment up to day 6 resulted in fewer false positives, while preserving clinically relevant theoretical ICU capacity gains. The longitudinal SOFA-based trajectory model improved prognostic discrimination compared with the age-based triage model in critically ill COVID-19 patients. These findings suggest that longitudinal SOFA-assessment up to six days after intubation may improve prognostic support during prolonged ICU scarcity and warrant further evaluation of longitudinal SOFA trajectories as a potential component of ICU triage protocols during future healthcare crises.

Scientific Reports
Maastricht University Medical Centre (NL), Maastricht University (NL), Albert Schweitzer Ziekenhuis (NL), St. Antonius Ziekenhuis (NL), Rijnstate Hospital (NL)
Openalex Percentile: Top 11%
Sepsis Diagnosis and Treatment
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