Liu Min, Ma Jianning, Bao Kena, Gu Ye, Zhao Jing, Ren Dongmei, Zhu Fang, Xu Xiangdong
Department of Scientific Research, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, 201800, China.
Department of Hospital Infection Control, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, China.
Open Med (Wars). 2024 Sep 11;19(1):20241034. doi: 10.1515/med-2024-1034. eCollection 2024.
The pathogenesis of cognitive impairment (CI) in coronary artery disease (CAD) patients is still unclear and numerous influence factors could affect the CI status. The current studies suggest that sleep quality and behavior pattern are significant influence factors associated with CAD susceptibility.
A total of 223 participants including 90 CAD patients with CI and 133 controls were enrolled into this retrospective study. Demographic information, laboratory test results, clinical diagnostic data, and questionnaire survey were collected to recognize the influencing factors of CI in CAD patients. Appropriate statistical methods are used to analyze these collected data.
Univariate analysis results of demographic information, laboratory test results, and questionnaire survey data revealed that the differences in fatigue symptom, age, HDL, TG, and sleep quality were statistically significant ( = 0.006, = 0.000, = 0.019, = 0.028, and = 0.037, respectively). Logistic regression analysis showed that age, fatigue, and sleep quality were the influence factors for CI in CAD population ( = 0.000, = 0.035, and = 0.017).
Sleep quality, fatigue, and age were associated with the increased susceptibility of CI in CAD patients. Both CI state and its related factors were involved in the pathological process of CAD, these findings could offer additional information for the prevention and control of CAD.
冠心病(CAD)患者认知功能障碍(CI)的发病机制仍不清楚,众多影响因素可能会影响CI状态。目前的研究表明,睡眠质量和行为模式是与CAD易感性相关的重要影响因素。
本回顾性研究共纳入223名参与者,包括90名患有CI的CAD患者和133名对照者。收集人口统计学信息、实验室检查结果、临床诊断数据和问卷调查,以识别CAD患者CI的影响因素。采用适当的统计方法分析这些收集的数据。
人口统计学信息、实验室检查结果和问卷调查数据的单因素分析结果显示,疲劳症状、年龄、高密度脂蛋白(HDL)、甘油三酯(TG)和睡眠质量的差异具有统计学意义(分别为=0.006、=0.000、=0.019、=0.028和=0.037)。Logistic回归分析表明,年龄、疲劳和睡眠质量是CAD人群中CI的影响因素(=0.000、=0.035和=0.017)。
睡眠质量、疲劳和年龄与CAD患者CI易感性增加有关。CI状态及其相关因素均参与了CAD的病理过程,这些发现可为CAD的预防和控制提供更多信息。