Objective:To investigate the relationship between triglyceride glucose (TyG) index and major adverse cardiovascular events (maces) within 30 days after discharge in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) and its predictive value.Methods:A single center retrospective study was conducted to select AMI patients with PCI in the chest pain center of the Fourth Hospital of Changsha from January 2023 to January 2024 by a convenience sampling method. The clinical data and follow-up information of the patients were collected. The relationship between TyG index and Maces and its predictive value were tested by correlation analysis and logistic regression model.Results:A total of 110 patients met the inclusion and exclusion criteria, including 88 males and 22 females, aged (61.46 ± 12.42) years old. Spearman correlation analysis showed that TyG index was positively correlated with maces 30 days after discharge ( r = 0.421, P<0.001). Logistic regression analysis showed that TyG index was a risk factor for maces in AMI patients 30 days after discharge ( OR = 9.033, 95% CI 2.835-8.788, P<0.001). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) was 0.854 (95% CI 0.765-0.943, P<0.001). Conclusions:TyG index has a significant positive correlation with maces within 30 days after discharge, which is an independent risk factor for maces within 30 days after discharge. Risk stratification by TyG index is more conducive to the management of clinical postoperative nursing and nursing education after discharge.

Objective:To investigate the relationship between triglyceride glucose (TyG) index and major adverse cardiovascular events (maces) within 30 days after discharge in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) and its predictive value.Methods:A single center retrospective study was conducted to select AMI patients with PCI in the chest pain center of the Fourth Hospital of Changsha from January 2023 to January 2024 by a convenience sampling method. The clinical data and follow-up information of the patients were collected. The relationship between TyG index and Maces and its predictive value were tested by correlation analysis and logistic regression model.Results:A total of 110 patients met the inclusion and exclusion criteria, including 88 males and 22 females, aged (61.46 ± 12.42) years old. Spearman correlation analysis showed that TyG index was positively correlated with maces 30 days after discharge ( r = 0.421, P<0.001). Logistic regression analysis showed that TyG index was a risk factor for maces in AMI patients 30 days after discharge ( OR = 9.033, 95% CI 2.835-8.788, P<0.001). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) was 0.854 (95% CI 0.765-0.943, P<0.001). Conclusions:TyG index has a significant positive correlation with maces within 30 days after discharge, which is an independent risk factor for maces within 30 days after discharge. Risk stratification by TyG index is more conducive to the management of clinical postoperative nursing and nursing education after discharge.

Objective:To explore the will of the aged to participate in long-term care insurance in Qinhuangdao and its influencing factors under the background of aging of population.Methods:From April to May 2019, we selected 450 elderly people as subjects by stratified cluster random sampling in Qinhuangdao. All elderly people were investigated with the self-designed Long-term Care Insurance Need Questionnaire for the Aged. The individual characteristics, economic state and consciousness were analyzed with the methods of descriptive analysis, chi-square test and Logistic regression analysis.Results:A total of 445 valid questionnaires were collected. There were 60.7% (270/445) of aged with the wills to participate in long-term care insurance and 57.8% (156/270) of them hope the insurance mostly in cash or nursing service. Single factor analysis showed that there were statistical differences in the wills to participate in long-term care insurance among the aged with different ages, education levels, with or without a spouse, living situation, number of children, number of sons, primary caregivers, conscious health status, number of chronic diseases, number of hospitalizations in the past year, main source of income, monthly income, type of medical security, preference for care places (χ 2=50.228, 19.662, 26.504, 36.934, 16.456, 23.963, 44.482, 27.684, 24.783, 29.278, 22.313, 14.836, 10.446, 9.087; P<0.05) . Logistic regression analysis showed that the influencing factors of the will of the aged to participate in long-term care insurance included the ages, spouses and caregivers with statistical differences ( P<0.05) . Conclusions:Elderly people in Qinhuangdao are not willing to participate in long-term care insurance, and the elderly who are low age, have no spouse and have no caregivers are more willing to participate in long-term care insurance.

Aim To examine the effect of Luteolin on H2O2 induced damage in cultured cortical neurons.Methods Cortical neurons were exposed to 200 ?mol?L-1 H2O2 for 12 hours and the cell toxicity of H2O2 was evaluated by LDH release.MTT assay was used to elucidate the mitochondrial activity.Mitochondrial transmembrane potential, intracellular reactive oxygen species, catalase activity and glutathione were measured by spectrofluorophotometer.Results 200 ?mol?L-1 H2O2 induced great damage to mitochondria and caused death in primary cultured cortical neurons.20 ?mol?L-1 Luteolin effectively protected neurons from oxidative damage, maintained the mitochondrial activity as well as transmemnbrane potential, decreased the ROS accumulation and kept the activity of the antioxidant system. What is more, increasing the GSH level by Luteolin pretreatment might improve the antioxidant ability of neurons.Conclusions Luteolin protects cortical neurons from H2O2 toxicity by inhibiting the damage to the mitochondria and improving the antioxidant ability of neurons.