Presence of plasma markers related to brain injury and postoperative delirium in elderly patients: A latent class analysis

• Published in: Journal of clinical anesthesia Vol. 93; p. 111363
• Main Authors: Wang, Lei-yuan, Hu, Xiao-yi, Ji, Mu-huo
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.05.2024; Elsevier Limited
• Subjects: Anesthesia; Biomarkers; Bone surgery; Delirium; Latent class analysis; Orthopedics; Pain Medicine; Software; Statistical analysis; Traumatic brain injury
• ISSN: 0952-8180; 1873-4529; 1873-4529
• DOI: 10.1016/j.jclinane.2023.111363

Latent class analysis (LCA) is a statistical method that uses maximum likelihood estimation to define the subtypes of patients based on the observed variables and help to understand the pathogenesis of diseases. [...]our study aimed to investigate whether the presence of plasma markers related to brain injury was associated with POD in elderly patients based on LCA. [...]S100β is a glia-specific protein, and its excessive activation is considered to be a biomarker of blood-brain barrier dysfunction and neuronal damage, which plays an important role in cognitive impairment after traumatic brain injury [4]. Mu-huo Ji: Formal analysis, Funding acquisition, Supervision, Visualization.Declaration of Competing Interest The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript.