Clinical characteristics and prognostic factors analysis in patients with post-neurosurgical intracranial infection caused by Acinetobacter baumannii
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Acinetobacter baumannii intracranial infection is a significant problem affecting the prognosis of neurosurgical patients. This study aimed to analyze the clinical characteristics and identify prognostic factors for in-hospital mortality in patients with post-neurosurgical A. baumannii intracranial infections. METHODS: We retrospectively analyzed clinical data from 109 patients diagnosed with A. baumannii intracranial infection following neurosurgery between January 2015 and December 2022. A nomogram predicting in-hospital mortality was developed using logistic regression and validated through receiver operating characteristic(ROC) analysis. RESULTS: A total of 109 patients were included in this study, with an in-hospital mortality rate of 58.7%. Among the A. baumannii strains isolated from cerebrospinal fluid(CSF) cultures, 95.4% exhibited carbapenem resistance. Multivariate analysis identified CSF protein level (OR = 1.132, 95% CI = 1.039–1.233), A. baumannii bloodstream infection (OR = 8.9, 95% CI = 1.536–51.559), length of stay(OR = 0.946, 95% CI = 0.919–0.974), sex(male)(OR = 0.263, 95% CI = 0.077–0.894), platelet count (OR = 0.996, 95% CI = 0.992–0.999), and albumin level (OR = 0.896, 95% CI = 0.818–0.982) as independent factors associated with in-hospital mortality. A nomogram incorporating these factors achieved an area under the curve(AUC) of 0.879 (95% CI = 0.806–0.952). CONCLUSION: Post-neurosurgical intracranial infection with A. baumannii is associated with a high in-hospital mortality rate. Our study identified several independent prognostic factors, including CSF protein level, A. baumannii bloodstream infection, length of stay, sex(male), platelet count, and albumin level. These findings highlight the need for early identification and targeted interventions to improve patient outcomes.
Source: BMC Infectious Diseases
Authors: Bingxin Tian, Huangmin Bao, Xin Yang, Runli Yu, Min Lyu, Wen Liu, Xiaoya Huang, Qin Ding
Institution: Xuzhou Medical College
Language: English
Subfield: Molecular Medicine
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W4414985605
