Analysis of Prognostic Factors for Drilling Drainage Surgery in Patients with Hypertensive Intracerebral Hemorrhage and Development of a Predictive Nomogram.

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Risk Management and Healthcare Policy Pub Date : 2025-04-04 eCollection Date: 2025-01-01 DOI:10.2147/RMHP.S502982
Jinliang Gu, Liqiang Dai, Wei Hu, Chengjin Xie, Xueyin Ren, Jinxing Huang
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引用次数: 0

Abstract

Objective: To investigate the influencing factors affecting prognosis in patients undergoing drilling drainage surgery for hypertensive intracerebral hemorrhage (HICH) and to construct a nomogram predictive model.

Methods: Clinical data of 247 patients with HICH admitted to our hospital between October 2020 and February 2024 were retrospectively analyzed. Patients were divided into a modeling cohort (173 cases) and a validation cohort (74 cases). The modeling group was separated into a good prognosis group and a poor prognosis group based on postoperative prognosis.

Results: Among the 173 patients in the modeling cohort, 19 patients (10.98%) experienced poor prognosis. Multivariate logistic regression analysis showed that age, preoperative GCS score, diabetes history, systolic blood pressure, diastolic blood pressure, pulmonary infection and postoperative hematoma volume were the risk factors for the prognosis of drilling drainage surgery for patients with HICH (P<0.05). The AUC of the modeling group and validation group was 0.962 and 0.946, and the H-L test showed χ 2=7.105 and 7.246, with P<0.05 for both, indicating favorable consistency of the model. Decision curve analysis (DCA) showed high clinical utility of the nomogram model within the probability threshold range of 0.05 to 0.93.

Conclusion: Age, preoperative GCS score, history of diabetes, systolic blood pressure, diastolic blood pressure, pulmonary infection and postoperative hematoma volume are key prognostic factors affecting outcomes after drilling drainage surgery in HICH patients. The established nomogram model based on these variables accurately predicts the risk of poor postoperative prognosis and can serve as an effective clinical reference tool.

高血压脑出血患者钻孔引流手术预后因素分析及预测图的建立。
目的:探讨高血压脑出血钻孔引流术患者预后的影响因素,并建立nomogram预测模型。方法:回顾性分析2020年10月至2024年2月我院收治的247例HICH患者的临床资料。将患者分为模拟组(173例)和验证组(74例)。根据术后预后情况将造模组分为预后良好组和预后不良组。结果:173例建模队列患者中,19例(10.98%)预后不良。多因素logistic回归分析显示,年龄、术前GCS评分、糖尿病史、收缩压、舒张压、肺部感染、术后血肿量是影响HICH患者钻孔引流手术预后的危险因素(Pχ 2=7.105、7.246,p < 0.05)。年龄、术前GCS评分、糖尿病史、收缩压、舒张压、肺部感染、术后血肿量是影响高血压患者钻孔引流手术预后的关键预后因素。基于这些变量建立的nomogram模型能够准确预测术后不良预后的风险,可以作为有效的临床参考工具。
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来源期刊
Risk Management and Healthcare Policy
Risk Management and Healthcare Policy Medicine-Public Health, Environmental and Occupational Health
CiteScore
6.20
自引率
2.90%
发文量
242
审稿时长
16 weeks
期刊介绍: Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include: Public and community health Policy and law Preventative and predictive healthcare Risk and hazard management Epidemiology, detection and screening Lifestyle and diet modification Vaccination and disease transmission/modification programs Health and safety and occupational health Healthcare services provision Health literacy and education Advertising and promotion of health issues Health economic evaluations and resource management Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.
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