Factors associated with mortality in posterior reversible encephalopathy syndrome: a nationwide analysis

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Authors: Ali Al-Salahat, Richard Cheung, Danielle B. Dilsaver, Amelia Pham, Ripudaman Kahlon, Muhammad Roshan Asghar, Rohan Sharma
Cited by: 2
References: 20

Abstract

BACKGROUND: To identify demographic and clinical factors associated with in-hospital mortality among hospitalizations of adults with posterior reversible encephalopathy syndrome (PRES) using the National Inpatient Sample (NIS) in the United States (US). METHODS: Hospitalizations for PRES in patients ≥ 18 years were abstracted from the NIS (2016-2022). To identify clinical factors associated with in-hospital mortality, univariable logistic regression models were estimated and significant predictors were retained in a multivariable logistic regression model. Collinearity was assessed via variance inflation factors. Association was quantified using adjusted odds ratios (aOR). FINDINGS: There were an estimated 75,830 PRES hospitalizations, of which, 3,665 in-hospital deaths occurred (4.8%). Decedents were older, had longer stays, and higher costs. In the adjusted model, the strongest factors associated with increased mortality were respiratory failure (aOR 5.43; 95% CI 4.40-6.71), sepsis (aOR 2.45; 95% CI 2.02-2.96), and ischemic stroke (aOR 2.25; 95% CI 1.86-2.72). Additional independent risk factors included cerebral edema, coma, intracerebral hemorrhage, severe liver disease, subarachnoid hemorrhage, kidney disorders, status epilepticus, encephalitis/encephalomyelitis, malignancy, complications of transplanted organs, and COVID-19. Documented hypertensive crisis (OR 0.63; 95% CI: 0.52 to 0.75) and history of epilepsy/seizures (OR 0.67; 95% CI: 0.55 to 0.81) were associated with lower odds of death. CONCLUSION: Respiratory failure, sepsis, and cerebrovascular complications drive in-hospital mortality in PRES. Early airway protection, aggressive supportive care, and prompt neurovascular evaluation for high-risk patients may improve outcomes. Prospective studies with granular clinical and imaging data are needed to refine prognostic models.

Fields of Study & Subjects

Neurological Complications and Syndromes Liver Disease and Transplantation Moyamoya disease diagnosis and treatment

Publication details

Journal / source
Neurological Sciences
Publisher
Springer Science and Business Media LLC
Volume
47
Issue
3
Publication date
24 February 2026
Language
EN