生物离子分子组学计划( Bio-imOmics Project:BiP)

“imOmics 离子分子组学”是对生命与非生命物质与外界环境进行离子和分子交换过程的整体研究。依据研究的对象不同可以分为: • “非生物离子分子组学计划(Abiotic imOmics Project:AiP)” • “生物离子分子组学计划(Bio-imOmics Project:BiP)” 生物离子分子组学计划(Bio-imOmics Project:BiP)是利用现代NMT非损伤微测技术等活体离子分子检测技术,结合现代计算机人工智能等科技及生物信息学方法,对生物个体及其各层级组成与外部环境之间,以离子和分子形式进行能量和信息交换的过程,进行系统的、可量化的研究,从整体活体生理机制水平上拓展人类对生命现象的认知和利用

卒中后感染对急性缺血性卒中患者出院结局的影响 Effects of Post-stroke Infection on Discharge Outcomes in Patients with Acute Ischemic Stroke

目的 探讨急性缺血性卒中（acute ischemic stroke，AIS）不良出院结局的影响因素，以及感染对出院结局的影响。 方法 回顾性连续纳入2019年6月—2022年6月在首都医科大学附属北京天坛医院神经内科住院治疗的AIS患者，根据出院结局分为结局良好组（mRS评分＜3分）和结局不良组（mRS评分≥3分或住院期间死亡），比较两组患者的临床特点和卒中后感染（肺部感染、尿路感染及中枢神经系统感染）等指标的差异。进一步采用多因素logistic回归分析AIS患者不良出院结局的影响因素。 结果 共纳入AIS患者1024例，平均年龄（60.3±12.4）岁，其中男性788例（77.0%），出院结局良好组761例（74.3%），结局不良组263例（25.7%）。85例患者出现卒中后感染，总体感染发生率为8.3%，其中69例（6.7%）为肺部感染，16例（1.6%）为尿路感染，3例（0.3%）为中枢神经系统感染。多因素分析结果显示，卒中后出现肺部感染（OR 2.522，95%CI 1.318～4.828，P=0.005）、合并糖尿病（OR 1.486，95%CI 1.048～2.106，P=0.026）、入院NIHSS评分升高（OR 1.286，95%CI 1.233～1.342，P＜0.001）和血白细胞计数升高（OR 1.094，95%CI 1.014～1.180，P=0.020）为AIS患者不良出院结局的危险因素。 结论 肺部感染可显著增加AIS患者出院结局不良的风险。 Abstract: Objective To explore the risk factors of adverse discharge outcomes in patients with acute ischemic stroke (AIS), and the effects of post-stroke infection on discharge outcomes. Methods AIS patients who were hospitalized in the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University from June 2019 to June 2022 were retrospectively included in this study. The patients were divided into good outcome group (mRS score<3) and poor outcome group (mRS score≥3 or death during hospitalization) according to discharge outcome. The clinical characteristics and post-stroke infection(pulmonary infection, urinary tract infection and central nervous system infection) were compared between the two groups. Multivariate logistic regression was used to analyze the risk factors for adverse discharge outcomes in AIS patients. Results A total of 1024 patients with AIS were included in this study, with a mean age of (60.3±12.4) years old and 788 males (77.0%). There were 761 (74.3%) patients in the good outcome group and 263(25.7%) patients in the poor outcome group. 85 (8.3%) patients developed infection after stroke, of which 69 (6.7%) were pulmonary infections, 16 (1.6%) were urinary tract infections, and 3 (0.3%) were central nervous system infections. Multivariate analysis showed that pulmonary infection (OR 2.522, 95%CI 1.318-4.828, P=0.005), diabetes (OR 1.486, 95%CI 1.048-2.106, P=0.026), increased NIHSS score on admission (OR 1.286, 95%CI 1.233-1.342, P<0.001) and increased white blood cell count (OR 1.094, 95%CI 1.014-1.180, P=0.020) were risk factors for poor discharge outcomes in AIS patients. Conclusions Pulmonary infection may significantly increase the risk of poor discharge outcomes in patients with AIS