Influencing Factors and Predictive Model Construction for Length of Stay after Intracranial Hematoma Removal in Patients with Hypertensive Intracerebral Hemorrhage
NIU Xuehong
WANG Ruhai
XIE Miao
SHEN Jianghui
MA Haitao
ZHAO Yilan
LÜ Qing
Abstract：Objective To explore the influencing factors of length of hospital stay(LOS)in patients with hypertensive intracerebral hemorrhage(HICH)after intracranial hematoma removal and to construct a risk prediction model.Methods A total of 122 patients with HICH admitted to the Second Affiliated Hospital of Fuyang Normal University from April 2022 to May 2025 were retrospectively selected.All patients were treated with intracranial hematoma removal.Patient demographic and disease-related data were collected.According to the median postoperative LOS,patients were divided into a high LOS group(﹥15 d,n=61)and a low LOS group(≤15 d,n=61).Multivariate Logistic regression analysis was used to analyze the influencing factors of postoperative LOS,and a nomogram prediction model was constructed using R software.A receiver operating characteristic curve was drawn to evaluate the predictive value of the nomogram model for postoperative LOS.Results The high LOS group showed higher proportions of patients aged≥60 years,brain herniation,Glasgow Coma Scale(GCS)score<9,preoperative aspiration pneumonia,systolic blood pressure≥180 mmHg at admission,and higher preoperative white blood cell count compared to the low LOS group(P<0.05).Multivariate Logistic regression analysis showed that age≥60 years(OR=2.795,95%CI:1.312-5.957),GCS score<9(OR=2.765,95%CI:1.275-5.997),preoperative aspiration pneumonia(OR=2.795,95%CI:1.137-6.873),systolic blood pressure at admission≥180 mmHg(OR=2.770,95%CI:1.188-6.461),and elevated preoperative white blood cell count(OR=1.135,95%CI:1.011-1.275)were independent risk factors for prolonged postoperative LOS in HICH patients(P<0.05).A nomogram model was constructed to predict prolonged postoperative LOS in HICH patients,and the consistency index was 0.824(95%CI:0.725-0.886).The area under the curve of the nomogram model for predicting postoperative LOS was 0.887(95%CI:0.816-0.939),with a specificity of 87.64%and a sensitivity of 91.52%.Conclusion Age≥60 years,GCS score<9,preoperative aspiration pneumonia,systolic blood pressure at admission≥180 mmHg,and elevated preoperative white blood cell count are independent risk factors for prolonged LOS in HICH patients after surgery.The nomogram model constructed based on these factors has good predictive value.
Keywords：intracerebral hemorrhagehypertensiveintracranial hematoma removallength of staynomogramprediction model
Publication Date：2026-01-20
Online Publishing Date：2026-01-24(First online date of this platform, not the publication date of the document)
Pages：6( 78-83 )