ArticlePloS one2020
How to detect a polytrauma patient at risk of complications: A validation and database analysis of four published scales.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 42 papers, 3 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Acute management of pelvic ring injuries: identifying common treatment principles across institutional algorithms.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026Pooled it
- The utilisation of international consensus definitions of the disease polytrauma: a systematic review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Pooled it
- Developments in the understanding of staging a "major fracture" in polytrauma: results from an initiative by the polytrauma section of ESTES.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Pooled it
- Sex-Specific Temporal Patterns of Haemoglobin and Haematocrit as Mortality Predictors in Polytrauma Patients: A Watson Trauma Pathway Explorer Analysis.Journal of clinical medicine · 2026Article
- Caught in the Crossroads: Damage Control Orthopedics versus Early Total Care for Polytrauma in the Indian Scenario.Annals of African medicine · 2026Review
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- Article
- Evaluating Early Appropriate Care Criteria for Acute Axial and Lower Extremity Fractures: A Large Database Propensity-Matched Cohort Study.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025Article
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- Are the same parameters measured at admission and in the ICU comparable in their predictive values for complication and mortality in severely injured patients?European journal of medical research · 2025Article
- Identifying predictors of nosocomial pneumonia in trauma patients admitted to a level-1 trauma center.Archives of orthopaedic and trauma surgery · 2024Article
- Development of a nomogram for individualized prediction of acute gastrointestinal injury in polytrauma patients.BMC research notes · 2024Article
- Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas.BMC medical informatics and decision making · 2024Observational
- Lactic acid levels are associated with morbidity, length of stay, and total treatment costs in urban trauma patients with lower extremity long bone fractures.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024Article
- Impact of COVID-19 pandemic on trauma mortality patients: A retrospective observational study in an Iranian level 1 trauma center.Health science reports · 2024Article
- Occult hypoperfusion and changes of systemic lipid levels after severe trauma: an analysis in a standardized porcine polytrauma model.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Article
- Elevated extracellular particle concentration in plasma predicts in-hospital mortality after severe trauma.Frontiers in immunology · 2024Article
- Fracture fixation in polytraumatized patients-From an interdisciplinary early total/appropriate care to the safe definitive surgery concept.Frontiers in medicine · 2024Review
- Advancing polytrauma care: developing and validating machine learning models for early mortality prediction.Journal of translational medicine · 2023Article
- Effect of Injury Patterns on the Development of Complications and Trauma-Induced Mortality in Patients Suffering Multiple Trauma.Journal of clinical medicine · 2023Article
Corrections and comments
- Expression of concern
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEarly accurate assessment of the clinical status of severely injured patients is crucial for guiding the surgical treatment strategy. Several scales are available to differentiate between risk categories. They vary between expert recommendations and scores developed on the basis of patient data (level II). We compared four established scoring systems in regard to their predictive abilities for early (e.g., hemorrhage-induced mortality) versus late (Multiple Organ Failure (MOF), sepsis, late death) in-hospital complications.
methodsA database from a level I trauma center was used. The inclusion criteria implied an injury severity score (ISS) of ≥16 points, primary admission, and a complete data set from admission to hospital-day 21. The following four scales were tested: the clinical grading scale (CGS; covers acidosis, shock, coagulation, and soft tissue injuries), the modified clinical grading scale (mCGS; covers CGS with modifications), the polytrauma grading score (PTGS; covers shock, coagulation, and ISS), and the early appropriate care protocol (EAC; covers acid-base changes). Admission values were selected from each scale and the following endpoints were compared: mortality, pneumonia, sepsis, death from hemorrhagic shock, and multiple organ failure. STATISTICS: Shapiro-Wilk test for normal distribution, Pearson Chi square, odds ratios (OR) for all endpoints, 95% confidence intervals. Fitted, generalized linear models were used for prediction analysis. Krippendorff was used for comparison of CGS and mCGS. Alpha set at 0.05.
resultsIn total, 3668 severely injured patients were included (mean age, 45.8±20 years; mean ISS, 28.2±15.1 points; incidence of pneumonia, 19.0%; incidence of sepsis, 14.9%; death from hem. shock, 4.1%; death from multiple organ failure (MOF), 1.9%; mortality rate, 26.8%). Our data show distinct differences in the prediction of complications, including mortality, for these scores (OR ranging from 0.5 to 9.1). The PTGS demonstrated the highest predictive value for any late complication (OR = 2.0), sepsis (OR = 2.6, p = 0.05), or pneumonia (OR = 2.0, p = 0.2). The EAC demonstrated good prediction for hemorrhage-induced early mortality (OR = 7.1, p<0.0001), but did not predict late complications (sepsis, OR = 0.8 and p = 0.52; pneumonia, OR = 1.1 and p = 0.7) CGS and mCGS are not comparable and should not be used interchangeably (Krippendorff α = 0.045).
conclusionOur data show that prediction of complications is more precise after using values that covers different physiological systems (coagulation, hemorrhage, acid-base changes, and soft tissue damage) when compared with using values of only one physiological system (e.g., acidosis). When acid-base changes alone were tested in terms of complications, they were predictive of complications within 72 hours but failed to predict late complications. These findings should be considered when performing early assessment of trauma patients or for the development of new scores.
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