Luo LiHua, Chen Yang, Zhao HangQing, Dong Rong, Long Yuzhou
Department of Neurology, The Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Front Neurol. 2025 Jul 3;16:1545126. doi: 10.3389/fneur.2025.1545126. eCollection 2025.
Parkinson's disease (PD) is a common chronic degenerative disease, and its exact pathological mechanism remains unclear. In this study, we identified covariates associated with the clinical outcomes of PD using patient data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, providing new references for the treatment of patients.
The data of patients with PD and relevant covariates were obtained from the MIMIC-IV database. The patients were categorized into the in-hospital death and in-hospital survival groups based on their survival status, and the relationship between their outcomes and covariates was investigated. Key covariates markedly associated with the clinical outcomes of PD were further screened using regression analysis. Finally, a nomogram for predicting the risk of in-hospital mortality in patients with PD was constructed and validated.
A total of 143 patients with PD and 37 covariates were included in this study. Of the included patients, 25 were assigned to the in-hospital death group and 118 were assigned to the in-hospital survival group. Covariates such as the respiratory rate, mean arterial pressure (MAP), respiratory failure, anion gap, bicarbonate levels, blood urea nitrogen levels, and sequential organ failure assessment (SOFA) scores were markedly associated with in-hospital mortality in patients with PD. Subsequently, age [hazard ratio (HR) = 1.0565, 95% confidence interval (CI) = 1.0065-1.1090, < 0.05], bicarbonate levels (HR = 0.8988, 95% CI = 0.8310-0.9722, < 0.05), BUN levels (HR = 1.0292, 95% CI = 1.0084-1.0503, < 0.05), and SOFA scores (HR = 1.1510, 95% CI = 1.0324-1.2831, < 0.05) were identified as key covariates associated with in-hospital mortality. The nomogram incorporating these covariates exhibited favorable performance in predicting the risk of in-hospital mortality in patients with PD.
This study revealed four key covariates associated with the clinical outcomes of PD, providing new references for the treatment of patients.
帕金森病（PD）是一种常见的慢性退行性疾病，其确切的病理机制尚不清楚。在本研究中，我们使用重症监护医学信息数据库IV（MIMIC-IV）中的患者数据，确定了与PD临床结局相关的协变量，为患者治疗提供了新的参考依据。
从MIMIC-IV数据库中获取PD患者的数据及相关协变量。根据患者的生存状态将其分为院内死亡组和院内生存组，并研究其结局与协变量之间的关系。使用回归分析进一步筛选与PD临床结局显著相关的关键协变量。最后，构建并验证了预测PD患者院内死亡风险的列线图。
本研究共纳入143例PD患者和37个协变量。在纳入的患者中，25例被分配到院内死亡组，118例被分配到院内生存组。呼吸频率、平均动脉压（MAP）、呼吸衰竭、阴离子间隙、碳酸氢盐水平、血尿素氮水平和序贯器官衰竭评估（SOFA）评分等协变量与PD患者的院内死亡率显著相关。随后，年龄[风险比（HR）=1.0565，95%置信区间（CI）=1.0065-1.1090，P<0.05]、碳酸氢盐水平（HR=0.8988，95%CI=0.8310-0.9722，P<0.05）、血尿素氮水平（HR=1.0292，95%CI=1.0084-1.0503，P<0.05）和SOFA评分（HR=1.1510，95%CI=1.0324-1.2831，P<0.05）被确定为与院内死亡率相关的关键协变量。纳入这些协变量的列线图在预测PD患者院内死亡风险方面表现良好。
本研究揭示了与PD临床结局相关的四个关键协变量，为患者治疗提供了新的参考依据。
