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Chinese Journal of Antituberculosis ›› 2026, Vol. 48 ›› Issue (7): 933-940.doi: 10.19982/j.issn.1000-6621.20250491

• Original Articles • Previous Articles     Next Articles

Risk factors and predictive model for poor prognosis among HIV-negative patients with disseminated tuberculosis admitted to intensive care unit

Liu Jia1, Tan Jing2,3, Tian Yao2,4, Fu Manjiao1, Liu Huimin1, Chen Hongmei1, Zhai An1, Kang Yi1, Chen Liang1, Bei Chengli1,5()   

  1. 1 Tuberculosis Intensive Care Unit, Changsha Central Hospital (Changsha Central Hospital Affiliated to South China University), Changsha 410000, China
    2 Department of Clinical Medicine, Hengyang Medical School, University of South China, Hengyang 421200, China
    3 Department of Critical Care Medicine, Central Hospital of Shaoyang City, Hunan Province, Shaoyang 422000, China
    4 The Seventh Department of Internal Medicine, Hunan Provincial Institute of Tuberculosis Control (Hunan Provincial Chest Hospital), Changsha 410000, China
    5 Changsha Tuberculosis Research Institute, Changsha 410000, China
  • Received:2025-12-16 Online:2026-07-10 Published:2026-07-02
  • Contact: Bei Chengli, Email: 345480181@qq.com
  • Supported by:
    Research Plan Project of Changsha Municipal Health Commission in 2023(KJ-B2023031);Key Guidance Project of Hunan Provincial Health Commission in 2023(C202303086429)

Abstract:

Objective: This study aimed to explore the risk factors for poor prognosis among human immunodeficiency virus (HIV)-negative patients with disseminated tuberculosis (DTB) admitted to intensive care unit (ICU). Methods: The clinical data of 204 HIV-negative patients with DTB admitted to the Tuberculosis ICU of Changsha Central Hospital between January 1, 2021 and December 31, 2023 was retrospectively analyzed. Patients were divided into a poor prognosis group (n=49) and a favorable prognosis group (n=155) according to their treatment outcomes at ICU discharge. The clinical characteristics of the two groups were compared, and multivariate logistic regression analysis was used to identify risk factors for poor prognosis in patients with DTB and a risk prediction model for poor prognosis was constructed. Results: Among the 204 HIV-negative patients with DTB, the incidence of poor prognosis in the ICU was 24.0% (49/204). Multivariate logistic regression analysis revealed that positive acid-fast bacilli in sputum smear (OR=2.878, 95%CI: 1.128-7.348, P=0.027), inadequate initial antituberculosis therapy at ICU admission (OR=2.779, 95%CI: 1.212-6.369, P=0.016), and concurrent severe pneumonia (OR=14.746, 95%CI: 4.204-51.727, P<0.001), and concurrent sepsis (OR=4.023, 95%CI: 1.788-9.051, P<0.001) were possible risk factors for poor prognosis among HIV-negative patients with DTB admitted to ICU. A risk prediction model for poor prognosis was constructed based on the above risk factors. The area under the receiver operating characteristic (AUC) curve of the model was 0.869 (95%CI: 0.815-0.923, P<0.001), with a sensitivity of 85.7% and a specificity of 72.3%, indicating that the model has good predictive value. Conclusion: For HIV-negative patients with DTB admitted to ICU, positive acid-fast bacilli in sputum smear, inadequate initial antituberculosis therapy on ICU admission, and concurrent severe pneumonia and sepsis are associated with an increased risk of poor prognosis. Clinically, early identification of these risk factors and targeted interventions are required to improve patients’ clinical outcomes.

Key words: Tuberculosis, Intensive care, Prognosis, Risk factors, Prediction model, Factor analysis, statistical

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