Clinical characteristics and short-term prognostic factors of spontaneous intracerebral hemorrhage in high-altitude plateau
ZHAO Wei-wei
JI Shi-yong
LIAN Yu-qing
ZHUO Ma
ZHAO Yu-hua
YUAN Jing
Abstract：Objective To investigate the clinical characteristics and current treatment status of spontaneous intracerebral hemorrhage(ICH)patients in Xizang Autonomous Region and to screen for factors influencing short-term poor neurological prognosis.Methods A total of 200 spontaneous ICH patients admitted to People's Hospital of Xizang Autonomous Region between April 2020 and November 2022 were included.The modified Rankin Scale(mRS)was used to assess short-term neurological prognosis at discharge.Univariate and multivariate Logistic regression analyses were performed to identify influencing factors associated with short-term poor neurological prognosis.Results The study included 200 patients with ICH.Their average age of onset was(65.42±7.78)years,with a high prevalence of hypertension(97.50%,195/200)and basal ganglia hemorrhage(59%,118/200).The age at onset was older and the mortality rate(2%,4/200)was lower than previously reported.Based on mRS score at discharge,patients were divided into a good prognosis group(0-2 points,n=72)and a poor prognosis group(3-6 points,n=128).Logistic regression analysis in the 148 patients without intraventricular extension showed that basal ganglia hemorrhage(OR=7.098,95%CI:3.043-16.557;P=0.000)and hemorrhage volume(per 10 ml increase;OR=1.485,95%CI:1.240-1.777,P=0.000)were risk factors for short-term poor neurological prognosis.Conclusions Spontaneous ICH in Xizang region exhibits unique epidemiological characteristics,with a notably high prevalence of hypertension and basal ganglia hemorrhage,and a delay in the age at onset and a reduction in the mortality rate compared to previous reports.Hemorrhage volume and basal ganglia involvement are critical determinants of short-term poor neurological prognosis.Strengthening hypertension management,optimizing acute-phase treatment,and enhancing medical resource allocation are essential to improving prognosis.
Keywords：Cerebral hemorrhagePrognosisRisk factorsLogistic modelsAltitude
Publication Date：2025-05-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 416-421 )