Predicting delayed neurological sequelae in patients with carbon monoxide poisoning using machine learning models.

Introduction: Delayed neurological sequelae is a common complication following carbon monoxide poisoning, which significantly affects the quality of life of patients with the condition. We aimed to develop a machine learning-based prediction model to predict the frequency of delayed neurological sequelae in patients with carbon monoxide poisoning.

Methods: A single-center retrospective analysis was conducted in an emergency department from January 01, 2018, to December 31, 2023.

The neutrophil-to-lymphocyte ratio is associated with the frequency of delayed neurologic sequelae in patients with carbon monoxide poisoning.

Delayed neurologic sequelae (DNS) is a common complication in patients with carbon monoxide poisoning (COP). We aimed to investigate the association of the neutrophil-to-lymphocyte ratio (NLR) with the frequency of DNS in COP patients. A total of 371 COP patients were investigated in retrospective and prospective studies.