ObjectiveTo assess the predictive value of the bladder deformation index (BDI) in determining upper urinary tract (UUT) damage among patients with neurogenic bladder (NB). MethodsClinical data of 132 NB patients admitted to Beijing Bo'ai Hospital from January, 2015 to December, 2018 were retrospectively analyzed. Patients were divided into UUT damage group and normal UUT group according to the presence or absence of hydronephrosis. The demographics, biochemical parameters and video-urodynamics (VUDS) findings were collected, and BDI was calculated. Receiver operating characteristic (ROC) curves were utilized to evaluate the predictive capability. ResultsThere were 54 patients in UUT damage group and 33 in normal UUT group. The course of disease, creatinine level and BDI were siginificantly different between two groups (P < 0.05), while the area under the curve were 0.686, 0.836 and 0.928, respectively. ConclusionCourse of disease, creatinine level and BDI are associated with UUT damage in NB patients, and BDI demonstrates the highest sensitivity and specificity, which may play a role in diagnosis of UUT damage.

The number of patients with reduced blood volume due to haemorrhage, fractures, severe infections, extensive burns and tumours is increasing, and traditional blood products are no longer able to meet the increasing clinical demand. Therefore, plasma substitutes have become particularly important in fluid resuscitation, especially artificial colloidal solutions, which have a sustained volume expansion time and a good volume expansion effect, and can significantly improve the circulatory status of patients. This article aims to review the classification of artificial colloidal plasma substitutes and their research progress in clinical practice, in order provide a more rigorous, professional and standardized reference for medicine.

Objective: To explore the prevalence and influencing factors of depressive symptoms among university students in some universities in Shandong Province, so as to provide a theoretical reference for implementing corresponding intervention measures. Methods: A cluster sampling method was used to select 8 079 university students studying in universities in Shandong Province from March 2023 to May 2024 as the research subjects. They were randomly divided into a training set (6 463) and a validation set (1 616) according to the 8/2 ratio. The influencing factors of depression among university students were analyzed, and a risk prediction model for depression among university students was constructed and validated. Results: In the training set of university students, the detection rate of depression was 35.09%(2 268/6 463), with 1 632 cases (71.96%) of mild depression, 545 cases (24.03%) of moderate depression, and 91 cases (4.01%) of severe depression. In the validation set of university students, the detection rate of depression was 33.97% (549/1 616), with 384 cases (69.95%) of mild depression, 127 cases (23.13%) of moderate depression, and 38 cases (6.92%) of severe depression. In the training set, the proportions of those who surfed the Internet for more than 3 h/d, occasionally or did not participate in physical exercise, had average or poor relationships with classmates, often drank sugary drinks, occasionally or did not have breakfast, had unsatisfactory academic performance, had an average monthly living expense of less than 1 500 yuan on campus, and had divorced or widowed parents in the depression-detected group were all higher than those in the undetected group( χ 2=1 193.85,1 584.41, 1 115.10 ,826.00,1 424.05,924.58,803.68,797.65, P <0.05). The scores of the Chinese version of the Childhood Trauma Questionnaire (CTQ-SF) in the depression detected group were also higher than those in the undetected group( t =98.48, P <0.05). The results of Logistic regression analysis showed that physical exercise, classmate relationships, academic performance, average monthly living expenses on campus, and CTQ-SF scores were influencing factors for depression among university students( OR =3.87, 4.82, 3.63, 3.75, 4.39, P <0.05). The sensitivity of the model in the training set for predicting depression among university students was 89.0%(95% CI =87.6%-90.2%), the specificity was 93.0% (95% CI =92.2%-93.7%), and the area under the curve was 0.9(95% CI =0.8-1.0); the sensitivity of the model in the validation set for predicting depression among university students was 87.6%(95% CI =84.5%-90.1%), the specificity was 91.3%(95% CI =89.4%-92.9%), and the area under the curve was 0.9(95% CI =0.8-1.0). Conclusions The high detection rate of depressive symptoms among university students in some universities in Shandong Province warrants attention. Constructing a risk prediction model is helpful for early identifying the risk of depression among university students.

Objective: To explore the application effect of a guided self help intervention based on dialectical behavior therapy (DBT) to address non suicidal self injury (NSSI) behavior among college students, so as to provide a reference for reducing the occurrence of NSSI behavior in this population. Methods: A total of 106 college students with NSSI admitted to the Department of Child and Adolescent Psychology, the Second Affiliated Hospital of Jining Medical University from January 2021 to January 2023 were selected and divided into an observation group and a control group, with 53 cases in each group, using a random number table method. The control group received routine medication treatment and psychological intervention, while the observation group, on the basis of the interventions provided to the control group, implemented dialectical behavior therapy based guided self help. The approach combines group activities, individual counseling, and selfdirected learning, covering four core modules: mindfulness training, distress tolerance, interpersonal effectiveness, and emotion regulation. Meanwhile, data collection, skill check ins, and personalized recommendation pushes were conducted through a WeChat. Both groups were intervented for 12 weeks. Before the intervention and after the intervention, the Adolescent Non suicidal Self injury Behavior Questionnaire, Ottawa Self injury Inventory (OSI), and Barratt Impulsiveness Scale (BIS) were used to evaluate the patients, and the levels of serum neurotransmitters were detected. The χ 2 test, t test, and Cochran s Q test were used for data comparison and analysis. Results: The incidence rates of NSSI in the observation group after 3, 6, and 12 weeks of intervention were 47.17%, 16.98%, and 5.66%, respectively, all lower than those in the control group (67.92%, 35.85%, 20.75%) ( χ 2=4.67, 4.85, 5.27,all P <0.05). After 12 weeks of intervention, in the NSSI Behavior Questionnaire, the total score of the observation group was (17.94±2.69) points, which was lower than that of the control group (23.04±5.11) points; in the Function Questionnaire, the total score of the observation group was (53.24±8.94) points, which was higher than that of the control group (47.74±8.00) points（both P ＜0.05）. In terms of the OSI, the total score of the observation group was (4.49±0.62) points, lower than that of the control group (6.25±0.81) points;in the BIS, the total score of the observation group was (80.76±7.94) points, lower than that of the control group (87.74±9.34) points，and the differences between groups were statistically significant(both P<0.05). After the intervention, the level of 5-hydroxytryptamine in the observation group was (67.93±5.42) ng/mL, higher than (44.72±5.54) ng/mL of the control group; the levels of substance P and cortisol in the observation group were (35.82±4.47) ng/L and (75.64±8.02) μg/L, respectively, both lower than (48.14±5.32) ng/L and (94.53±10.78) μg/L of the control group, and the differences were statistically significant (all P <0.05). Conclusion The guided self help intervention based on DBT is helpful for reducing NSSI behavior among college students.

Objective To compare the results obtained from an artificial intelligence (AI)-based chromosome image scanning and processing system, the Metafer 4 chromosome scanning and analysis system, and manual analysis of dicentric chromosomes, and to explore the feasibility of applying AI technology for dicentric chromosome detection and biological dose estimation. Methods Healthy human elbow vein blood was collected and subjected to ⁶⁰Co in vitro irradiation. Chromosome samples were prepared using conventional methods. The slides were scanned and automatically analyzed using the AI-based system and the Metafer 4 system. The results were manually analyzed and confirmed. Results The number of cells was comparable between the AI-based system and the Metafer 4 system. However, the scanning speed of the AI-based system was 4.5 seconds per image, which was significantly faster than the 7.3 seconds per image of the Metafer 4 system (t = −6.19, P < 0.05). At a confidence level of 0.7, the AI-based system demonstrated a true positive rate of 96.7% and a false positive rate of 6.5%, which were significantly better than the true positive rate (45.4%-54.5%) and false positive rate (22.2%-29.2%) of the Metafer 4 system (all P < 0.05). In the biological dose estimation, the deviation of the dose-response curve was ≤ ± 10% in the automatic analysis using the Metafer 4 system. Due to the use of the manual dose-response curve, the deviation of the AI-based System was ≤ ± 15%. However, there were no significant differences in the estimated doses when the two systems were compared with the manual analysis (P > 0.05). Conclusion Both the AI-based chromosome image scanning and processing system and the Metafer 4 chromosome scanning and analysis system greatly improved the analysis speed of chromosome aberrations. However, the scanning speed, true positive rate, and false positive rate of the AI-based system were superior to those of the Metafer 4 system. Therefore, the AI-based system is more suitable for rapid and high-throughput biological dose estimation in large-scale radiation accidents.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

Intermittent theta burst stimulation (iTBS), a time-saving and cost-effective repetitive transcranial magnetic stimulation regime, has been shown to improve cognition in patients with Alzheimer's disease (AD). However, the specific mechanism underlying iTBS-induced cognitive enhancement remains unknown. Previous studies suggested that mitochondrial functions are modulated by magnetic stimulation. Here, we showed that iTBS upregulates the expression of iron-sulfur cluster assembly 1 (ISCA1, an essential regulatory factor for mitochondrial respiration) in the brain of APP/PS1 mice. In vivo and in vitro studies revealed that iTBS modulates mitochondrial iron-sulfur cluster assembly to facilitate mitochondrial respiration and function, which is required for ISCA1. Moreover, iTBS rescues cognitive decline and attenuates AD-type pathologies in APP/PS1 mice. The present study uncovers a novel mechanism by which iTBS modulates mitochondrial respiration and function via ISCA1-mediated iron-sulfur cluster assembly to alleviate cognitive impairments and pathologies in AD. We provide the mechanistic target of iTBS that warrants its therapeutic potential for AD patients.
Humans ; Mice ; Animals ; Transcranial Magnetic Stimulation ; Alzheimer Disease/therapy* ; Cognitive Dysfunction/therapy* ; Cognition ; Sulfur ; Iron ; Iron-Sulfur Proteins ; Mitochondrial Proteins

Aim To investigate the protective effect of dimethyl fumarate on spleen injury induced by gamma radiation in mice and the related mechanism. Methods C57BL/6 mice were randomly divided into the blank control group, radiation model group and DMF administration group, which were administered once at 12 h before irradiation and once at 0. 5 h, 12 h, 24 h and 48 h after irradiation. The 30-day survival rate, body weight and pathological injury of spleen were measured after a one-time total body irradiation of Co 7 rays (8 Gy). TUNEL staining was used to detect apoptosis of spleen cells. Enzyme-linked immunoassay ( ELISA) was applied to detect the contents of TNF-a, IL-1 p, IL-6, IL-18, NLRP3 and AIM2 in spleen. Western blot test and immunofluorescence staining test was employed to verify the changes of NLRP3 and AIM2 contents in spleen tissue after irradiation. Results DMF could obviously improve the survival rate of irradiated mice, improve the weight loss of irradiated mice, re-duce the pathological injury of spleen, and inhibit the apoptosis of spleen cells after irradiation. ELISA results showed that DMF could significantly inhibit the increase of spleen inflammatory cytokines TNF-a, IL-lp, IL-6, IL-18 and inflammasome components NL-RP3 and AIM2 induced by irradiation. Western blot and tissue immunofluorescence staining also confirmed that DMF could inhibit the increase of NLRP3 and AIM2 inflammasome protein levels caused by irradiation. Meanwhile, NLRP3 agonist and AIM2 agonist could antagonize the radiation protection effect of DMF on spleen cells. Conclusion DMF can ameliorate spleen injury of Co 7-ray injured mice, and its mechanism is closely related to NLRP3/AIM2 inflamma-somes, which can be used as a potential protective drug for radiation injury.

Levetiracetam （LEV） is the second generation of broad-spectrum anti-epileptic drug. LEV has the advantages of rapid absorption， short half-life， precise efficacy， good tolerance and few drug interactions. In order to improve the clinical efficacy of LEV， and reduce the occurrence of adverse reactions， children， pregnant women， the elderly， and patients with renal insufficiency should receive therapeutic drug monitoring （TDM）. Clinically， the samples are usually plasma or serum， and the TDM methods are mostly immunoassay or chromatography. There is currently no consensus on the effective concentration range of LEV， and the correlation between plasma concentration and adverse reactions is also unclear. The main factors affecting LEV plasma concentration include age， pregnancy， and patient compliance. How to interpret TDM results and adjust dosage based on the results will be the focus of future work.

Objective To analyze the short-term survival and prognostic quality of life of patients with liver cirrhosis complicated by bacterial infection. Methods This study collected and analyzed 300 patients with liver cirrhosis complicated with infection who were hospitalized in the First Affiliated Hospital of Hebei North University, and followed up to discuss their survival and quality of life. Results In this study, the top two causes of infection were spontaneous bacterial peritonitis (60.67% of patients) and pneumonia (50.67% of patients). The second causes were urinary tract infections (15.33%), gastrointestinal infections (12.33%), and other causes. There was no statistically significant difference between male and female patients (P>0.05). In addition, the proportion of hospital infections was 71.00%, and there was no statistically significant difference between male and female patients (P>0.05). A total of 353 strains of pathogenic bacteria were isolated in this study (73.37% of patients with hospital infections). The distribution analysis of pathogenic bacteria showed that the highest proportion of ECO was 35.98%, followed by Klebsiella pneumoniae (18.98%). The distribution trend of 259 strains of pathogenic bacteria among hospital patients was consistent with that of all strains, and the difference was not statistically significant (P>0.05). Gram negative bacteria accounted for 79.60% (281/353) of all detected strains, of which Escherichia coli was mostly detected in patients with spontaneous bacterial peritonitis, Klebsiella Pneumoniae (KPN) and Pseudomonas aeruginosa (PAE) were mostly detected in patients with pneumonia, and Enterococcus (ENF) was mostly detected in patients with urinary tract infection; Among gram-negative bacteria, Staphylococcus epidermidis (SEP) and Staphylococcus aureus (SAU) are mostly found in patients with other infectious causes (blood flow infection, etc.) , and Streptococcus (STR) accounts for a high proportion in patients with Spontaneous bacterial peritonitis. In this study, 9 cases of death prognosis were detected during follow-up, and there was no statistically significant difference in the detection of death prognosis between different bacterial strains in both genders, as well as the difference in detection of death prognosis between hospital infections and out of hospital infections in both genders (P>0.05). There was no statistically significant difference in the detection of death prognosis between males and females due to different causes of infection, P>0.05. The quality of life scores of 291 surviving patients were compared between baseline and follow-up, indicating an increase in follow-up scores, especially in the dimensions of physiological function and physical pain. There was no statistically significant difference between different bacterial strains, infection causes, and hospital/non hospital infections (P>0.05) . Conclusion Spontaneous bacterial peritonitis and pneumonia are the main causes of infection that deserve special attention, and the main pathogens of infection are Gram negative bacteria. Targeted treatment and rehabilitation should be provided for patients with liver cirrhosis complicated by infection. At the same time, the proportion of hospital infections is relatively high, and attention should be paid to, prevention and control measures should be implemented as well.