ArticleFrontiers in medicine2024
Prediction of prolonged length of stay on the intensive care unit in severely injured patients-a registry-based multivariable analysis.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Older age and post-traumatic organ failure a TraumaRegister DGUEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Article
- Article
- Evaluating Artificial Intelligence Models for ICU Length of Stay Prediction: A Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2026Review
- Changes in the characteristics of civilian patients admitted to a military hospital before and during the healthcare system crisis: a retrospective cohort study.Journal of trauma and injury · 2026Article
- Development of a nomogram to predict in-hospital mortality of trauma patients in the ICU: an analysis of the MIMIC-IV database.Scientific reports · 2026Article
- APACHE II and NUTRIC Scores for Mortality Prediction in Chronic Critical Illness: A "Right-Side" Prognostic Modeling Approach.Diagnostics (Basel, Switzerland) · 2025Article
- A prediction model for 'ICU mortality or prolonged ICU stay' in critically unwell patients with acute pancreatitis: insights from a 2003-2020 cohort analysis using the ANZICS-CORE database.Critical care (London, England) · 2025Article
- Design and Development of a Machine Learning Model for Predicting ICU Patients' Length of Stay.Cureus · 2025Article
- The clinical profile of abdominopelvic injury and the determinants of length of stay and mortality in the intensive care unit of a tertiary hospital.The Southern African journal of critical care : the official journal of the Critical Care Society · 2025Article
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3 authors.
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Abstract
Purpose: Mortality is the primary outcome measure in severely injured trauma victims. However, quality indicators for survivors are rare. We aimed to develop and validate an outcome measure based on length of stay on the intensive care unit (ICU). Methods: The TraumaRegister DGU of the German Trauma Society (DGU) was used to identify 108,178 surviving patients with serious injuries who required treatment on ICU (2014-2018). In a first step, need for prolonged ICU stay, defined as 8 or more days, was predicted. In a second step, length of stay was estimated in patients with a prolonged stay. Data from the same trauma registry (2019-2022, Results: The mean age was 50 years, 70% were males, and the average Injury Severity Score was 16.2 points. Average/median length of stay on ICU was 6.3/2 days, where 78% were discharged from ICU within the first 7 days. Prediction of need for a prolonged ICU stay revealed 15 predictors among which injury severity (worst Abbreviated Injury Scale severity level), need for intubation, and pre-trauma condition were the most important ones. The area under the receiver operating characteristic curve was 0.903 (95% confidence interval 0.900-0.905). Length of stay prediction in those with a prolonged ICU stay identified the need for ventilation and the number of injuries as the most important factors. Pearson's correlation of observed and predicted length of stay was 0.613. Validation results were satisfactory for both estimates. Conclusion: Length of stay on ICU is a suitable outcome measure in surviving patients after severe trauma if adjusted for severity. The risk of needing prolonged ICU care could be calculated in all patients, and observed vs. predicted rates could be used in quality assessment similar to mortality prediction. Length of stay prediction in those who require a prolonged stay is feasible and allows for further benchmarking.
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