Evidence map›Paper›PMID 38903820›Full record

ArticleFrontiers in medicine2024

Prediction of prolonged length of stay on the intensive care unit in severely injured patients-a registry-based multivariable analysis.

Rolf Lefering, Christian Waydhas, TraumaRegister DGU

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Older age and post-traumatic organ failure a TraumaRegister DGUEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  9. 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 · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rolf LeferingInstitute for Research in Operative Medicine, Faculty of Health, University Witten/Herdecke, Cologne, Germany.
Christian WaydhasDepartment of Trauma Surgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
TraumaRegister DGU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

intensive carelength of stayprediction modelsregistries trauma and injuriesregistrytrauma and injuries

Identifiers

PMID38903820
PMCPMC11188296

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.