ArticleBMC anesthesiology2022
In-hospital mortality and SpO2 incritical care patients with cerebral injury: data from the MIMIC‑IV Database.
Article in BMC anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 11 citations in OpenAlex.
- Construction and validation of a predictive nomogram for 28-day mortality in critically ill patients with toxic encephalopathy.BMC medical informatics and decision making · 2026Article
- Perioperative anemia and patient blood management in neurosurgery and neurocritical care: a narrative review.Journal of anesthesia, analgesia and critical care · 2026Review
- Oxygen Therapy for Intracranial Hemorrhage.CNS neuroscience & therapeutics · 2026Review
- Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data.NPJ digital medicine · 2025Article
- High risk and low incidence diseases: Aneurysmal subarachnoid hemorrhage.The American journal of emergency medicine · 2025Review
- The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients.Frontiers in medicine · 2025Article
- Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment.Frontiers in neurology · 2025Article
- Development and validation of a nomogram for predicting in-hospital mortality of patients with cervical spine fractures without spinal cord injury.European journal of medical research · 2024Article
- The association between high-oxygen saturation and prognosis for intracerebral hemorrhage.Neurosurgical review · 2024Article
- Association between SpOFrontiers in neurology · 2024Article
- Oxygen saturation profile in traumatic brain injury animal model after propofol administration.Narra J · 2023Article
- Association between transcutaneous oxygen saturation within 24 h of admission and mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: a retrospective analysis of the MIMIC-IV database.Frontiers in neurology · 2023Article
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5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence regarding the relationship between in-hospital mortality and SpO2 was low oxygen saturations are often thought to be harmful, new research in patients with brain damage has found that high oxygen saturation actually enhances mortality. However, there is currently no clear study to point out the appropriate range for oxygen saturation in patients with craniocerebral diseases.
methodsBy screening all patients in the MIMIC IV database, 3823 patients with craniocerebral diseases (according to ICD-9 codes and ICD-10) were selected, and non-linear regression was used to analyze the relationship between in-hospital mortality and oxygen saturation. Covariates for all patients included age, weight, diagnosis, duration of ICU stay, duration of oxygen therapy, etc.
resultsIn-hospital mortality in patients with TBI and SAH was kept to a minimum when oxygen saturation was in the 94-96 range. And in all patients, the relationship between oxygen saturation and in-hospital mortality was U-shaped. Subgroup analysis of the relationship between oxygen saturation and mortality in patients with metabolic encephalopathy and other encephalopathy also draws similar conclusions In-hospital mortality and oxygen saturation were all U-shaped in patients with subarachnoid hemorrhage, metabolic and toxic encephalopathy, cerebral infarction, and other encephalopathy, but the nonlinear regression was statistically significant only in patients with cerebral infarction (p for nonlinearity = 0.002).
conclusionFocusing too much on the lower limit of oxygen saturation and ignoring too high oxygen saturation can also lead to increase in-hospital mortality. For patients with TBI and SAH, maintaining oxygen saturation at 94-96% will minimize the in-hospital mortality of patients.
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