Initial Emergency Department Triage Narratives for Predicting Hospital Admission and Early Critical Outcomes: A Retrospective Chronological Split Study
- 1Department of Emergency Medicine, Poznan University of Medical Sciences, 60-806 Poznań, Poland
- 2Department of Medical Rescue, Poznan University of Medical Sciences, 60-806 Poznań, Poland
Abstract
Background/Objectives: We assessed whether initial triage narratives add predictive information beyond incompletely recorded structured data for recorded admission and early hospital outcomes. Methods: This single-center retrospective chronological split study included adults with Emergency Severity Index (ESI) levels 3–5 and available narratives. Penalized logistic models were developed on 51,735 visits (4852 admissions) from April to December 2025 and evaluated on 40,433 visits from January to June 2026. These data had previously been examined. Initial assessment selection was confirmed by the exporting investigator, but predictor timing could not be independently verified at record level. The primary outcome was recorded admission, including accepted external transfers; the secondary outcome was general intensive care unit (ICU) transfer or index-hospital death within seven days. Results: Evaluation included 3517 admissions (8.70%). Text increased admission area under the receiver operating characteristic curve (AUROC) from 0.763 to 0.835 (95% CI 0.828–0.841) and average precision from 0.246 to 0.340; the combined-model calibration slope was 1.083. The secondary outcome had 167 development events; evaluation included 40,190 visits and 123 events (0.306%); combined AUROC was 0.913 and average precision 0.055. At the development-selected 90% sensitivity target, secondary-model positive predictive value was 1.33%, with 204.5 flags per 1000 visits and 14 missed events. Conclusions: Narratives added information for local disposition beyond sparse structured documentation. These results do not establish prediction of physiological deterioration or an actionable alert policy. Independent temporal verification and external validation remain necessary. No prospective registration was obtained.
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BibTeX
@article{konieczka2026initial,
title = {{Initial Emergency Department Triage Narratives for Predicting Hospital Admission and Early Critical Outcomes: A Retrospective Chronological Split Study}},
author = {Patryk Konieczka and Julia Żukowska-Karolak and Tomasz Kłosiewicz},
journal = {Journal of Clinical Medicine},
year = {2026},
month = oct,
doi = {10.3390/jcm15218477},
url = {https://www.mdpi.com/2077-0383/15/21/8477},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Initial Emergency Department Triage Narratives for Predicting Hospital Admission and Early Critical Outcomes: A Retrospective Chronological Split Study
AU - Patryk Konieczka
AU - Julia Żukowska-Karolak
AU - Tomasz Kłosiewicz
PY - 2026
DA - 2026/10/30
JO - Journal of Clinical Medicine
DO - 10.3390/jcm15218477
UR - https://www.mdpi.com/2077-0383/15/21/8477
AB - Background/Objectives: We assessed whether initial triage narratives add predictive information beyond incompletely recorded structured data for recorded admission and early hospital outcomes. Methods: This single-center retrospective chronological split study included adults with Emergency Severity Index (ESI) levels 3–5 and available narratives. Penalized logistic models were developed on 51,735 visits (4852 admissions) from April to December 2025 and evaluated on 40,433 visits from January to June 2026. These data had previously been examined. Initial assessment selection was confirmed by the exporting investigator, but predictor timing could not be independently verified at record level. The primary outcome was recorded admission, including accepted external transfers; the secondary outcome was general intensive care unit (ICU) transfer or index-hospital death within seven days. Results: Evaluation included 3517 admissions (8.70%). Text increased admission area under the receiver operating characteristic curve (AUROC) from 0.763 to 0.835 (95% CI 0.828–0.841) and average precision from 0.246 to 0.340; the combined-model calibration slope was 1.083. The secondary outcome had 167 development events; evaluation included 40,190 visits and 123 events (0.306%); combined AUROC was 0.913 and average precision 0.055. At the development-selected 90% sensitivity target, secondary-model positive predictive value was 1.33%, with 204.5 flags per 1000 visits and 14 missed events. Conclusions: Narratives added information for local disposition beyond sparse structured documentation. These results do not establish prediction of physiological deterioration or an actionable alert policy. Independent temporal verification and external validation remain necessary. No prospective registration was obtained.
SN - 2077-0383
ER -