Background <p><i>Acinetobacter baumannii</i> 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 <i>A. baumannii</i> intracranial infections.</p> Methods <p>We retrospectively analyzed clinical data from 109 patients diagnosed with <i>A. baumannii</i> 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.</p> Results <p>A total of 109 patients were included in this study, with an in-hospital mortality rate of 58.7%. Among the <i>A. baumannii</i> 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), <i>A. baumannii</i> 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).</p> Conclusion <p>Post-neurosurgical intracranial infection with <i>A. baumannii</i> is associated with a high in-hospital mortality rate. Our study identified several independent prognostic factors, including CSF protein level, <i>A. baumannii</i> 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.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Clinical characteristics and prognostic factors analysis in patients with post-neurosurgical intracranial infection caused by Acinetobacter baumannii

  • Bingxin Tian,
  • Huangmin Bao,
  • Xin Yang,
  • Runli Yu,
  • Min Lyu,
  • Wen Liu,
  • Xiaoya Huang,
  • Qin Ding

摘要

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.