ArticleScientific reports2021
Effectiveness of LODS, OASIS, and SAPS II to predict in-hospital mortality for intensive care patients with ST elevation myocardial infarction.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
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- Construction and validation of a prognostic nomogram for predicting short-term mortality in acute respiratory failure patients: a retrospective cohort study based on the MIMIC-IV database.BMC pulmonary medicine · 2026Article
- Predicting ICU mortality in patients with abdominal aortic aneurysm: a nomogram based on MIMIC-IV and eICU-CRD.International journal of medical sciences · 2026Article
- Comparison of Intensive Care Scoring Systems in Predicting Overall Mortality of Sepsis.Diagnostics (Basel, Switzerland) · 2025Article
- Impact of early CVP monitoring on 1-year mortality in patients with congestive heart failure in the ICU: a retrospective analysis based on the MIMIC-IV2.2 database.BMC cardiovascular disorders · 2025Article
- RURUS SURYAWAN Score: A Novel Scoring System to Predict 30-Day Mortality for Acute Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.Journal of clinical medicine · 2025Article
- Development and assessment of a mortality risk prediction nomogram model for pneumocystis disease in ICU within 28 days.Scientific reports · 2025Article
- Evaluation of differences between initial and recurrent acute pancreatitis in the intensive care unit.Archives of medical science : AMS · 2025Article
- Predicting In-Hospital Mortality in Myocardial Infarction: A Nomogram-Based Retrospective Analysis of the MIMIC-IV Database.Vascular health and risk management · 2025Article
- Machine learning based clinical prediction model for 1-year mortality in Sepsis patients with atrial fibrillation.Heliyon · 2024Article
- Logistic organ dysfunction system as an early risk stratification tool after aneurysmal subarachnoid hemorrhage.Scientific reports · 2024Article
- Comparison of different intensive care scoring systems and Glasgow Aneurysm score for aortic aneurysm in predicting 28-day mortality: a retrospective cohort study from MIMIC-IV database.BMC cardiovascular disorders · 2024Article
- Association of serum potassium levels with mortality in critically ill patients with sepsis during hospitalization.PloS one · 2024Article
- Development and validation of a nomogram for predicting 28-day mortality in patients with ischemic stroke.PloS one · 2024Article
- Development and verification of a nomogram for predicting short-term mortality in elderly ischemic stroke populations.Scientific reports · 2023Article
- Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database.Frontiers in endocrinology · 2023Article
- Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients.Cardiovascular diabetology · 2022Observational
- Simplified acute physiology score III is excellent for predicting in-hospital mortality in coronary care unit patients with acute myocardial infarction: A retrospective study.Frontiers in cardiovascular medicine · 2022Article
- Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study.Frontiers in neurology · 2022Article
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Abstract
The relationship between three scoring systems (LODS, OASIS, and SAPS II) and in-hospital mortality of intensive care patients with ST segment elevation myocardial infarction (STEMI) is currently inconclusive. The baseline data, LODS score, OASIS score, SAPS II score, and in-hospital prognosis of intensive care patients with STEMI were retrieved from the Medical Information Mart for Intensive Care IV database. Propensity score matching analysis was performed to reduce bias. Receiver operating characteristic curves (ROC) were drawn for the three scoring systems, and comparisons between the areas under the ROC curves (AUC) were conducted. Decision curve analysis (DCA) was performed to determine the net benefits of the three scoring systems. LODS and SAPS II were independent risk factors for in-hospital mortality. For the study cohort, the AUCs of LODS, OASIS, SAPS II were 0.867, 0.827, and 0.894; after PSM, the AUCs of LODS, OASIS, SAPS II were 0.877, 0.821, and 0.881. A stratified analysis of the patients who underwent percutaneous coronary intervention/coronary artery bypass grafting (PCI/CABG) or not was conducted. In the PCI/CABG group, the AUCs of LODS, OASIS, SAPS II were 0.853, 0.825, and 0.867, while in the non-PCI/CABG group, the AUCs of LODS, OASIS, SAPS II were 0.857, 0.804, and 0.897. The results of the Z test suggest that the predictive value of LODS and SAPS II was not statistically different, but both were higher than OASIS. According to the DCA, the net clinical benefit of LODS was the greatest. LODS and SAPS II have excellent predictive value, and in most cases, both were higher than OASIS. With a more concise composition and greater clinical benefit, LODS may be a better predictor of in-hospital mortality for intensive care patients with STEMI.
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