Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.

This article summarizes the experience of providing remote nursing care for a pediatric patient with severe burns using augmented reality(AR)technology.Key nursing points include:to establish a remote management team to enhance multidisciplinary collaboration;to conduct remote nursing ward rounds to provide real-time guidance for clinical nursing practice;to remotely guide PICC(Peripherally Inserted Central Catheter)insertions and conduct precise fluid management;to remotely assess ward environments and provide guidance on disinfection and isolation measures;to alleviate pediatric pain through comprehensive management measures.After meticulous care and treatment,the patient's condition stabilized after 23 days,and the patient was transferred to a specialized hospital for continued treatment requiring skin grafting.

Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

This article summarizes the experience of providing remote nursing care for a pediatric patient with severe burns using augmented reality(AR)technology.Key nursing points include:to establish a remote management team to enhance multidisciplinary collaboration;to conduct remote nursing ward rounds to provide real-time guidance for clinical nursing practice;to remotely guide PICC(Peripherally Inserted Central Catheter)insertions and conduct precise fluid management;to remotely assess ward environments and provide guidance on disinfection and isolation measures;to alleviate pediatric pain through comprehensive management measures.After meticulous care and treatment,the patient's condition stabilized after 23 days,and the patient was transferred to a specialized hospital for continued treatment requiring skin grafting.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To explore the protective effect of AGK2, a selective inhibitor of sirtuin 2 (SIRT2), on the mitochondria of L02 hepatocytes induced by thioacetamide (TAA) and its related mechanism.Methods:Human-derived hepatocyte line L02 cells were cultured in vitro. Different concentrations of SIRT2 inhibitor AGK2 were used as intervention drugs. Cell counting kit-8 (CCK8) was used to detect the effects of different concentrations of AGK2 on the activity of L02 cells, and the appropriate concentration was selected as the AGK2 intervention group. The normal group was not given any drug intervention. The model group was given 90 mmol/L TAA for modeling. Low, medium and high dose AGK2 groups were added with 1, 2 and 4 μmol/L AGK2, respectively 2 h before modeling. CCK8 was used to detect cell activity in each group. Morphological changes of cells were observed under inverted light microscope. The relative protein expression levels of isocitrate dehydrogenase (IDH1), malate dehydrogenase (MDH1), SIRT2 and fission protein 1 homologue (FIS1) were detected by Western blot. The expression of SIRT2 in cells of each group was observed by confocal laser scanning microscope. The mitochondrial membrane potential of cells in each group was observed under a fluorescence microscope. Results:When AGK2 concentration was 1, 2 and 4 μmol/L, the survival rate of cells were 98.05%, 95.76% and 91.65%, respectively, with no statistical significance compared with normal group (all P>0.05). When AGK2 concentration was 8, 16, 32, 64, 128 μmol/L, the cell survival rate was significantly decreased compared with normal group (all P<0.05). Compared with the model group, the L02 cells in low, medium and high AGK2 groups had better activity and adherence, and the floating cells were significantly reduced. The higher the concentration of AGK2, the better the cell activity and adherence, and the less floating cells. Compared with the model group, the red fluorescence of L02 cells in AGK2 group was enhanced, while the green fluorescence was weakened. The higher the AGK2 concentration was, the stronger the red fluorescence was, and the weaker the green fluorescence was. Compared with the model group, the fluorescence of SIRT2 in L02 cells of low, medium and high AGK2 groups was weakened, and the higher the concentration of AGK2, the weaker the fluorescence of SIRT2. The protein expressions of IDH1 and MDH1 in L02 cells of low, medium and high AGK2 groups were significantly higher than those of model group (all P<0.05), and were positively correlated with the concentration of AGK2 ( r=0.818, P<0.05; r=0.960, P<0.05); the protein expressions of SIRT2 and FIS1 were significantly lower than those of the model group (all P<0.05), and were negatively correlated with the concentration of AGK2 ( r=-0.992, P<0.05; r=-0.998, P<0.05). Conclusions:AGK2 can reduce the mitochondrial membrane potential stimulated by TAA in L02 cells, increase the protein expression of IDH1 and MDH1, and inhibit the protein expression of SIRT2 and FIS1 in L02 cells in a dose-dependent manner.

Autologous ozonized blood transfusion(AOBT) is a therapy of re-transfusion of 100-200 mL of autologous blood after shaking and agitation with appropriate amount of oxygen-ozone in vitro. The oxidation of blood through the strong oxidation of ozone can enhance the non-specific immune response of the body, regulate the internal environment and promote health. This therapy has been increasingly applied in clinical practice, while no unified standard for the operation process in terms of ozone concentration, treatment frequency and treatment course had been established. This operation process of AOBT is primarily explored in order to standardize the operation process and ensure its safety and efficacy.