Prognostic significance of brain temperature and intracranial pressure in patients with acute brain injury.

Objective To explore the predictive value of brain temperature (BT) and intracranial pressure (ICP) for prognosis in patients with acute brain injury. Methods Fifty patients with acute brain injury admitted to He'nan Provincial People's Hospital and The 901st Hospital of Joint Logistics Support Forc...

Descripción completa

Detalles Bibliográficos
Publicado en:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 26; no. 5; pp. 548 - 557
Autores principales: XU, Wei, XIA, Jing, SHI, Yi, ZHANG, Ming, HAN, Bing-sha, FENG, Guang, WANG, Chun-lin
Formato: research tables/charts Journal Article
Publicado: Chinese Journal of Contemporary Neurology & Neurosurgery May2026
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194293405&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 194293405
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        16726731
        FDQ6
      jtl: Chinese Journal of Contemporary Neurology & Neurosurgery
      issn: 16726731
      maglogo: N
    pubinfo:
      dt: May2026
      vid: 26
      iid: 5
      pid: 80951
      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
    artinfo:
      ui:
        194293405
        194293405
        194293405
        10.3969/j.issn.1672-6731.2026.05.014
        194293405
      ppf: 548
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Prognostic significance of brain temperature and intracranial pressure in patients with acute brain injury.
      aug:
        au:
          XU, Wei
          XIA, Jing
          SHI, Yi
          ZHANG, Ming
          HAN, Bing-sha
          FENG, Guang
          WANG, Chun-lin
        affil: Department of Neurosurgery, He'nan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou 450003, He'nan, China
      sug:
        subj:
          Brain Injuries Prognosis
          Intracranial Pressure Evaluation
          Temperature
          Predictive Value of Tests
          Human
          Scales
          Descriptive Statistics
          Univariate Statistics
          Multiple Logistic Regression
          Multivariate Analysis
          ROC Curve
          Cox Proportional Hazards Model
          Kaplan-Meier Estimator
          Confidence Intervals
          Odds Ratio
          Funding Source
          Survival Analysis
      ab: Objective To explore the predictive value of brain temperature (BT) and intracranial pressure (ICP) for prognosis in patients with acute brain injury. Methods Fifty patients with acute brain injury admitted to He'nan Provincial People's Hospital and The 901st Hospital of Joint Logistics Support Force from March 2024 to June 2025 were included. BT and ICP were continuously and dynamically monitored for 5-7 d. Poor prognosis was defined as a Glasgow Outcome Scale-Extended (GOS-E) score < 4, and good prognosis as a GOS-E score ≥ 4 at 90-day after discharge. Univariate and multivariate Logistic regression analyses were used to screen for risk factors of prognosis. Receiver operating characteristic (ROC) curve was drawn to determine the optimal cut-off value of BT and ICP. Based on this, BT and ICP were divided into low-value group and high-value group. Kaplan-Meier curve was drawn, and univariate and multivariate Cox proportional hazards regression models were used to analyze risk factors for 90-day survival after discharge. Results The BT (P = 0.000) and ICP (P = 0.000) in good prognosis group (n = 27) were lower than those in poor prognosis group (n = 23). Logistic regression analysis showed that increased BT (OR = 6.145, 95%CI: 1.569-24.063; P = 0.009) and ICP (OR = 1.827, 95%CI: 1.200-2.780; P = 0.005) were risk factors for poor prognosis in patients with acute brain injury. The ROC curve showed that the area under the curve (AUC) for predicting poor prognosis by BT and ICP was 0.833 (95%CI: 0.719-0.946, P = 0.000) and 0.860 (95%CI: 0.737-0.961, P = 0.000), respectively, with the optimal cut-off values being 37.8 °C and 17 mm Hg. The 90-day after discharge survival rate was 58% (29/50). Kaplan-Meier survival analysis showed that the survival rate of patients with high BT (≥ 37.8 °C) was lower than that with low BT (< 37.8 °C; HR = 5.240, 95%CI: 1.938-14.169, P = 0.001), with high ICP (≥ 17 mm Hg) was also lower than that with low ICP (< 17 mm Hg; HR = 3.104, 95%CI: 1.373-7.021, P = 0.007). The survival rate of the low BT + ICP group remained at a relatively high level, with the best prognosis among 4 groups. Only 2 groups (high BT group and high ICP group) showed an increase in a single indicator, and the survival rate was between the low BT + ICP group and the high BT + ICP group. Multivariate Cox proportional hazards regression analysis showed that patients with BT ≥ 37.8 °C (HR = 4.561, 95%CI: 1.615-12.879; P = 0.004) and ICP ≥ 17 mm Hg (HR = 2.995, 95%CI: 1.283-6.807; P = 0.011) had a higher risk of death. Conclusions BT and ICP have a good predictive value for the prognosis of patients with acute brain injury, and can be used as an effective tool for clinical risk stratification.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: Chinese
    refInfo:
    holdings:
      @attributes:
        islocal: N