A Risk Prediction Model for MDR Acinetobacter baumannii Pneumonia in Cerebral Hemorrhage Patients Based on Inflammatory Markers from Peripheral Blood Cell Counts

Jie Min,1,* Wei Tian,1,* Hang Hu,1 Yongfeng Zhao2 1Neurointensive Care Unit, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, People’s Republic of China; 2Department of Hematology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yongfeng Zhao, Email [email protected] Jie Min, Email [email protected]: Acinetobacter baumannii (A. baumannii) is one of the most common pathogens in pneumonia patients with cerebral hemorrhage. Exploring objective predictors of pneumonia due to multidrug-resistant (MDR) A. baumannii is of great significance for infection prevention and control.Objective: To construct a risk prediction model for MDR A. baumannii pneumonia in cerebral hemorrhage patients based on inflammatory markers from peripheral blood cell counts.Methods: A retrospective study was carried out in cases with pneumonia due to A. baumannii among patients with cerebral hemorrhage from January 2021 to December 2024. The baseline data and peripheral blood cell counts were used for analysis. The risk factors for pneumonia due to MDR A. baumannii were obtained through univariate and multivariate analyses.Results: Among the 182 patients included, there were 79 cases with pneumonia due to MDR A. baumannii and 103 cases with pneumonia due to sensitive A. baumannii. The level of systemic immune-inflammation index (SII) at admission in patients with pneumonia due to MDR A. baumannii was significantly higher than sensitive A. baumannii. The result of multivariate logistic regression analysis showed that SII level (≥ 1851.91 × 109/L), tracheotomy duration (≥ 6 days) and Glasgow coma scale score (< 11) were risk factors for pneumonia due to MDR A. baumannii. The Area Under Curve (AUC) of the multivariate logistic regression model was 0.755, the sensitivity and specificity were 86.1% and 55.3%, respectively.Conclusion: Longer duration of tracheotomy, lower GCS score and higher SII at admission were possibly associated with pneumonia due to MDR A. baumannii in cerebral hemorrhage patients. For high-risk patients, taking timely preventive and control measures against MDR A. baumannii pneumonia infections is crucial.Keywords: Acinetobacter baumannii, systemic immune-inflammation index, multidrug-resistant, pneumonia, neutrophil-lymphocyte ratio

Publication Details

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Dove Medical Press (Taylor and Francis Group)
Published
2026-01-20
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Intracerebral and Subarachnoid Hemorrhage Research
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article

A Risk Prediction Model for MDR Acinetobacter baumannii Pneumonia in Cerebral Hemorrhage Patients Based on Inflammatory Markers from Peripheral Blood Cell Counts

Dove Medical Press (Taylor and Francis Group)
Intracerebral and Subarachnoid Hemorrhage Research
article

A Risk Prediction Model for MDR Acinetobacter baumannii Pneumonia in Cerebral Hemorrhage Patients Based on Inflammatory Markers from Peripheral Blood Cell Counts

article en

Abstract

Jie Min,1,* Wei Tian,1,* Hang Hu,1 Yongfeng Zhao2 1Neurointensive Care Unit, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, People’s Republic of China; 2Department of Hematology, The First Affiliated Hospital of Yangtze University, Jingzhou, 434000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yongfeng Zhao, Email [email protected] Jie Min, Email [email protected]: Acinetobacter baumannii (A. baumannii) is one of the most common pathogens in pneumonia patients with cerebral hemorrhage. Exploring objective predictors of pneumonia due to multidrug-resistant (MDR) A. baumannii is of great significance for infection prevention and control.Objective: To construct a risk prediction model for MDR A. baumannii pneumonia in cerebral hemorrhage patients based on inflammatory markers from peripheral blood cell counts.Methods: A retrospective study was carried out in cases with pneumonia due to A. baumannii among patients with cerebral hemorrhage from January 2021 to December 2024. The baseline data and peripheral blood cell counts were used for analysis. The risk factors for pneumonia due to MDR A. baumannii were obtained through univariate and multivariate analyses.Results: Among the 182 patients included, there were 79 cases with pneumonia due to MDR A. baumannii and 103 cases with pneumonia due to sensitive A. baumannii. The level of systemic immune-inflammation index (SII) at admission in patients with pneumonia due to MDR A. baumannii was significantly higher than sensitive A. baumannii. The result of multivariate logistic regression analysis showed that SII level (≥ 1851.91 × 109/L), tracheotomy duration (≥ 6 days) and Glasgow coma scale score (< 11) were risk factors for pneumonia due to MDR A. baumannii. The Area Under Curve (AUC) of the multivariate logistic regression model was 0.755, the sensitivity and specificity were 86.1% and 55.3%, respectively.Conclusion: Longer duration of tracheotomy, lower GCS score and higher SII at admission were possibly associated with pneumonia due to MDR A. baumannii in cerebral hemorrhage patients. For high-risk patients, taking timely preventive and control measures against MDR A. baumannii pneumonia infections is crucial.Keywords: Acinetobacter baumannii, systemic immune-inflammation index, multidrug-resistant, pneumonia, neutrophil-lymphocyte ratio

Dove Medical Press (Taylor and Francis Group)
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Intracerebral and Subarachnoid Hemorrhage Research
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