Risk assessment of severe adult tetanus using the NLR and AST level and construction of a nomogram prediction model.

ABSTRACT: We sought to examine high-risk factors for severe tetanus, construct a nomogram model, and predict the risk probability of severe tetanus in adult patients to provide a theoretical basis for clinical intervention. Methods: A retrospective analysis was employed in this study, which enrolled 65 adult patients with tetanus diagnosed at the Second Affiliated Hospital of Hainan Medical University from January 2017 to September 2022. Study participants were divided into severe and mild groups based on the Ablett classification. The general data and laboratory markers of both groups were compared, and logistic regression analysis was used to screen for independent risk factors for severe tetanus. A nomogram prediction model was constructed, and receiver operating characteristic (ROC), cali

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10761575 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature