ArticleJournal of clinical laboratory analysis2021
A trauma-related survival predictive model of acute respiratory distress syndrome.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Development and validation of a clinical risk model to predict the hospital mortality in ventilated patients with acute respiratory distress syndrome: a population-based study.BMC pulmonary medicine · 2022Trial
- Rosuvastatin ameliorates chemically induced acute lung injury in rats by targeting ferroptosis, heat shock protein B1, and inflammation.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Article
- A propensity score-matching analysis of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker exposure on in-hospital mortality in patients with acute respiratory failure.Pharmacotherapy · 2022Article
- Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database.Diagnostics (Basel, Switzerland) · 2022Article
- A trauma-related survival predictive model of acute respiratory distress syndrome.Journal of clinical laboratory analysis · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to construct and validate a simple model for the prediction of survival in patients with trauma-related ARDS.
methodsThis is a single-center, retrospective cohort study using MIMIC-III Clinical Database.
results842 patients were included in this study. 175 (20.8%) died in-hospital, whereas 215 (25.5%) died within 90 days. The deceased group had higher Acute Physiology Score (APS III), Sequential Organ Failure Assessment (SOFA), and Simplified Acute Physiology Score II (SAPS II). In multivariate logistic regression model, independent risk factors for mortality in ARDS patients included age ([odds ratio] OR, 1.035; 95% confidence interval [CI], 1.020-1.049), body mass index (OR, 0.957; 95% CI, 0.926-0.989), red blood cell distribution width (OR, 1.283; 95% CI, 1.141-1.443), hematocrit (OR, 1.055; 95% CI, 1.017-1.095), lactate (OR, 1.226; 95% CI, 1.127-1.334), blood urea nitrogen (OR, 1.025; 95% CI, 1.007-1.044), acute kidney failure (OR, 1.875; 95% CI, 1.188-2.959), sepsis (OR, 1.917; 95% CI, 1.165-3.153), type of admission (emergency vs. elective [OR, 2.822; 95% CI, 1.647-4.837], and urgent vs. elective [OR, 5.156; 95% CI, 1.896-14.027]). The area under the curve (AUC) of the model was 0.826, which was superior than the SAPS II (0.776), APS III (0.718), and SOFA (0.692). In the cross-validation model, the accuracy of the test set was 0.823, the precision was 0.643, and the AUC was 0.813.
conclusionsWe established a prediction model using data commonly used in the clinic, which has high accuracy and precision and is worthy of use in clinical practice.
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