Work

Development of the LARyNGTH score to predict central neurogenic respiratory failure in lateral medullary infarction

Year: 2026

Type: article

Abstract: Background: Central neurogenic respiratory failure (CNRF) is a fatal complication associated with lateral medullary infarcts (LMI). Its detection may be critical for timely intervention and to reduce the risk of mortality. This study aimed to identify the clinical predictors of CNRF in patients with LMI. Methods: This study included patients with LMI who were admitted to a university hospital between 2010 and 2022. CNRF was defined as unexpected intubations due to hypercapnia, cardiopulmonary resuscitation owing to respiratory causes, or clinical detection of CNRF. Clinical, neurological, and imaging data were also collected. Univariable and multivariable analyses were performed to identify the clinical predictors of respiratory complications. Results: < 0.001). Multivariable analysis identified the LARyNGTH score, which included the above variables. A score >5.5 predicted CNRF with an AUROC of 0.968 (95% CI: 0.940-0.996), a sensitivity of 91.7%, a specificity of 94.6%, and an accuracy of 94.4%. Conclusion: In patients with LMI, a combined predictive model can predict CNRF and facilitate preemptive intervention.

Source: Frontiers in Neurology

DOI: 10.3389/fneur.2026.1864132

Authors: Yoon Sub Kim, So Young Park, Ji Hyun Park, Bumhee Park, Jin Soo Lee, Seong-Joon Lee

Institutions: Ajou University, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center

Language: English

Topic: Acute Ischemic Stroke Management

Subfield: Clinical Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801