BackgroundLow medication compliance among patients with severe mental disorders increases the disease burden on both the patients' families and the society. Medication adherence is influenced by numerous factors. Traditional methods such as Logistic regression struggle to quantify the importance of these factors. By introducing Extreme Gradient Boosting （XGBoost） combined with Shapley Additive Explanations （SHAP）， enables the quantification of the relative contribution weights of each factor， providing support for identifying the core influencing factors. ObjectiveTo explore the influencing factors of medication adherence among patients with severe mental disorders in Zhuhai， aiming to provide references for optimizing patient management strategies. MethodsExtract the data of patients with severe mental disorders who were registered on the mental health system platform in Zhuhai City from January 1， 2023 to March 31， 2025. A total of 9 329 patients were finally included for analysis. Influencing factors were screened using univariate analysis and multivariate logistic regression analysis， and an XGBoost model combined with the SHAP algorithm was constructed to quantify the importance of each influencing factor. ResultsAmong 9 329 patients， 8 446 demonstrated medication adherence， yielding an adherence rate of 90.53%. Multivariable analysis identified several risk factors significantly associated with medication non-adherence， being unmarried （OR=1.237， 95% CI： 1.019–1.502） or divorced （OR=1.389， 95% CI： 1.038–1.832）， a diagnosis of mental retardation with psychiatric disorders （OR=3.025， 95% CI： 2.402–3.796） or paranoid psychosis （OR=5.117， 95% CI： 3.086–8.299）， a disease duration of 2–4 years （OR=1.355， 95% CI： 1.085–1.696）， 4–6 years （OR=2.143， 95% CI： 1.671–2.747）， or >6 years （OR=1.681， 95% CI： 1.365–2.079）， lack of guardian subsidies （OR=1.412， 95% CI： 1.099–1.801）， absence of a disability certificate （OR=1.900， 95% CI： 1.588–2.282）， not being enrolled in care and support groups （OR=1.384， 95% CI： 1.183–1.617） or community services （OR=1.313， 95% CI： 1.042–1.645）， and not cohabiting with a guardian （OR=1.257， 95% CI： 1.048–1.501）. Conversely， the enrollment in special outpatient disease programs （OR=0.716， 95% CI： 0.609–0.842） and a family history of mental illness （OR=0.713， 95% CI： 0.503–0.982） were identified as protective factors. The XGBoost model exhibited robust predictive performance， with a sensitivity of 0.433， specificity of 0.944， accuracy of 0.891， Area Under the Curve （AUC） of 0.837， and F1 value of 0.449. Feature importance ranking indicated that the top three factors were disease duration， diagnosis， and the acquisition of disability certificates. ConclusionPolicy-based support （acquisition of disability certificates， special outpatient disease enrollment） and clinical disease characteristics （disease duration， diagnosis type） are key factors affecting medication adherence among patients with severe mental disorders in Zhuhai City. ［Funded by Zhuhai Medical Research Project （number， 2220009000281）］

ObjectiveThis study explores the methods of lung tissue extraction and fixation required for pathological studies of fetal rats, based on the unique physiological structure of fetal rat lung tissue and existing lung tissue fixation techniques for adult rats. MethodsSix pregnant adult SD rats at 20.5 days of gestation were subjected to cesarean section to obtain fetal rats. Four healthy fetal rats with similar body weight, vital signs, and respiratory status were selected from each pregnant rat, and they were randomly divided into the following groups using a random number table: direct lung infiltration group, lung infiltration group after intratracheal infusion, whole-body infiltration group of fetal rats, and whole-body infiltration group after intratracheal infusion of fetal rats. To systematically compare and analyze the anatomical morphology under different fixation methods, lung tissues from four groups of fetal rats were harvested, perfused, and fixed, and the gross morphology of lung tissues in each group was observed. Paraffin sections were prepared and stained with Hematoxylin-Eosin (H&E). The histological morphology of the whole lung, alveoli, and bronchi was further examined under optical microscopy. ResultsIn the direct lung infiltration group, the hilar structures were unclear, lung lobation was indistinct, the shape was irregular, lung cavities were small, and alveoli and bronchi were shrunken. In the lung infiltration group after intratracheal infusion, the hilar structures were clear, lobation was pronounced, the shape was regular, lung cavities were large, and alveoli and bronchi were full. Both the whole-body infiltration group and whole-body infiltration group after intratracheal infusion of fetal rats exhibited visible lungs, hearts, skins, and other organs. The lung tissues of both groups showed obvious lobulation, irregular shape, and damage at the margins of lung lobes. In the whole-body infiltration group, the thoracic cavities of the fetus were flattened, lung cavities were small, and alveoli and bronchi were shrunken. In the whole-body infiltration group after intratracheal infusion of fetal rats, the fetal thoracic cavities were full, lung cavities were large, and alveoli and bronchi were relatively full. ConclusionThe lung infiltration after intratracheal infusion method for fetal rat lung tissue fixation outperforms direct lung infiltration, whole-body infiltration of fetal rats, and whole-body infiltration after intratracheal infusion of fetal rats in terms of preservation of the lung tissue's original morphology, paraffin sectioning, staining, and pathological observation and analysis. The embedding, sectioning, and staining processes are also simple and save consumables. Therefore, intratracheal infusion followed by lung infiltration method is recommended for fixation in histopathological observation of fetal rat lung tissue.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

OBJECTIVE To summarize the current situation of pharmaceutical clinic service in our hospital over the past five years， and explore sustainable development strategies for service models of pharmaceutical clinics. METHODS A retrospective analysis was conducted on the consultation records of patients who registered and established files at the pharmaceutical clinic in our hospital from January 2019 to December 2023. Statistical analysis was performed on patients’ general information， medication- related problems， and types of pharmaceutical services provided by pharmacists. RESULTS A total of 963 consultation records were included， among which females aged 20-39 years accounted for the highest proportion （66.04%）； obstetrics and gynecology- related consultations accounted for the largest number of cases. Additionally， 80 patients attended follow-up visits at our hospital’s pharmaceutical clinic. A total of 1 029 medication-related issues were resolved， including 538 cases of drug consultations （52.28%）， 453 medication recommendations （44.02%）， 22 medication restructuring（2.14%）， and 16 medication education （1.55%）； the most common types of medication-related problems identified were adverse drug events（70.07%）. CONCLUSIONS Although the pharmaceutical clinic has achieved recognition from clinicians and patients， challenges such as low awareness among healthcare providers and the public persist. Future efforts should focus on strengthening information technology construction， enhancing pharmacist training， and establishing various forms of outpatient pharmaceutical service models.

Objective:To investigate the optimization of inferior vena cava imaging using dual-layer spectral detector CT (DLCT) virtual monoenergetic images (VMI) combined with multiphase scanning.Methods:A retrospective analysis was conducted on the imaging data of 184 patients who underwent inferior vena cava imaging using dual-layer detector spectral CT at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from January 2021 to October 2024. Each patient underwent multiphase scanning (60, 80, and 120 s after contrast injection were referred to as the first, second, and third phases, respectively). The images were reconstructed into conventional 120 kVp polyenergetic image (PI) and VMIs at 40, 50, 60, 70, and 80 keV. Image quality of 120 kVp PI and VMI for each phase was evaluated. The objective image quality indicators included CT value, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and noise. Comparisons of the above indictors within the same phase were performed using repeated measures ANOVA or the Friedman test, while comparisons between different phases were conducted using one-way ANOVA or the Kruskal-Wallis test.Results:At the same phase, the CT value, SNR, and CNR of the 40 keV VMI were higher than those of other energy level VMIs and PI (all P<0.001). The SNR of the 40 keV VMI in the third phase was significantly higher than in the first phase ( P<0.05), while there was no significant difference between the first and second phases ( P>0.05). The standard deviation (SD) of the 40 keV VMI in the third phase was significantly lower than that in the first and second phases (all P<0.05). The subjective scores for the 40 keV VMI were higher than those for other energy level VMIs and PI at the same phase ( P<0.001). The subjective scores for the 40 keV VMI in the third phase were higher than those in the second and first phases ( P<0.001). The percentage of scores≥4 in the third phase (77.17%,142/184) was significantly higher than those in the first phase (28.26%,52/184) and second phase (61.96%,114/184) ( P<0.001). Conclusion:In inferior vena cava imaging, the 40 keV VMI, combined with the optimal phase (120 s delay), effectively optimizes image quality.

Objective To establish an expert consensus on the management of low anterior resection syndrome(LARS)in patients with rectal cancer post-surgery(hereinafter referred to as"consensus"),aiming to standardize the related work of medical institutions in the context of post-operative LARS.Methods A comprehensive search of domestic and international databases was conducted to collect guidelines,expert consensuses,systematic reviews,evidence summaries,and original research related to post-operative LARS in rectal cancer published from the establishment of the databases until August 2024.Based on clinical practice experience,a preliminary draft of the"consensus"was formed.From September to November 2024,22 experts were invited to participate in 2 rounds of expert consultations,during which the draft content was revised and improved,and the final version of the"consensus"was determined through expert validation.Results A total of 22 experts responded,achieving a response rate of 100％.The effective recovery rate of the consultation questionnaires in both rounds was 100％,with an expert authority coefficient of 0.89,a judgment coefficient of 0.97,and a familiarity degree of 0.84.The Kendall harmony coefficients for the 2 rounds of expert consultations were 0.122 and 0.136,respectively(P＜0.001).This consensus covers 5 main aspects:definition,assessment,prevention,treatment,and follow-up management of LARS.Conclusion This consensus demonstrates a high level of scientific rigor and can provide a strong reference for clinical nursing personnel in the specialized care of rectal cancer patients with post-operative LARS.

Objective:To analyze the incidence rate and disability-adjusted life year (DALY) rate of Chlamydia trachomatis ( C. trachomatis) infection in women aged 15-49 years in China from 1990 to 2021, identify the vulnerable populations, and provide evidence for the prevention and control of C. trachomatis infection. Methods:The data from Global Burden of Disease Study 2021 were used to analyze the incidence rate and DALY rate of C. trachomatis infection in women aged 15-49 years in China from 1990 to 2021 by using Joinpoint regression model. The age-period-cohort analysis method was used to decompose the age effect, period effect and cohort effect of incidence rate and DALY rate of C. trachomatis infection. Results:From 1990 to 2021, the incidence rate of C. trachomatis infection increased from 5 892.02/100 000 in 1990 to 7 402.23/100 000 in 2021 in women aged 15-49 years in China. The DALY rate increased from 1.92/100 000 person-years in 1990 to 2.00/100 000 person-years in 2021. Joinpoint regression showed that, from 1990 to 2021, the annual incidence of C. trachomatis infection in Chinese women age aged 15-49 years increased by 0.74% [average annual percent change (AAPC) =0.74%, 95% CI: 0.67%-0.81%, t=21.94, P<0.001] and the annual average DALY rate increased by 0.11% (AAPC=0.11%, 95% CI: -0.09%-0.30%, t=1.06, P=0.287). Age-period-cohort model analyses showed that women aged 30-34 years were at high risk to be infected with C. trachomatis and women aged 40-44 years were at high risk to have high DALY. The period effect showed that the risk for C. trachomatis infection began to increase in 1990, peaked during 2000-2004, then gradually decreased. During 2015-2019, the infection risk increased again, while the risk for high DALY showed a decreasing trend. The cohort effect showed that the risks for C. trachomatis infection and DALY were lower in later birth cohorts. Conclusions:From 1990 to 2021, the incidence rate and DALY rate of C. trachomatis infection showed fluctuations in women aged 15-49 years in China. It is necessary to pay close attention to the prevention and control of C. trachomatis infection in women aged 30-34 years.

Objective:To explore the predictive value of the difference in average CT attenuation values between renal pelvis urine and bladder urine on the risk of pyonephrosis, and to establish a nomogram model in combination with other parameters and to verify its predictive ability.Methods:The clinical data of patients with obstructive hydronephrosis who came to our hospital for emergency percutaneous nephrostomy (PCN) between January 2020 and December 2022 were retrospectively analyzed. There were 16 men and 33 women, with the age of (57.59, 14.67) years. Body mass index was (23.34, 3.11) kg/m 2. Urine nitrite was positive in 14 cases. Urine culture was positive in 21 cases. In the routine blood test, the median white blood cell count was 10.96 (7.21, 15.15) ×10 9/L, haemoglobin (115.08, 22.71) g/L and platelets (263.00, 97.20)×10 9/L. The difference in average CT attenuation values between renal pelvis urine and bladder urine (mean CT value of pyelonephritis-mean CT value of cysturia) was -2.19 (-7.04, 4.05) HU. Patients were divided into pyonephrosis group and hydronephrosis group according to whether the drainage fluid after PCN was pus. Single-factor and multi-factor logistic regression models were used to analyze the independent predictors of pyonephrosis and to construct nomograms. The discrimination of the model was assessed by the area under the curve (AUC) of the receiver operating characteristics (ROC), the accuracy by the calibration curve and the clinical efficacy by the decision curve analysis (DCA). Results:There were 49 cases in this study, 31 cases in the hydronephrosis group and 18 cases in the pyonephrosis group. The average CT attenuation values of renal pelvis urine were 3.35(0.56, 8.96) HU and 7.78 (3.75, 18.38) HU, respectively, and the difference between the two groups was statistically significant ( P=0.023). The average CT attenuation values of bladder urine were (7.81±6.15)HU and (7.22±7.50)HU, respectively, and there was no significant difference between the two groups ( P=0.780). The difference in average CT attenuation values between renal pelvis urine and bladder urine were -3.98(-7.54, 0.60)HU and 2.13 (-5.15, 9.36)HU, respectively, and the difference between the two groups was not statistically significant ( P=0.059); the white blood cells were 9.82(7.04, 12.46) ×10 9/L and 13.99(9.75, 18.44) ×10 9/L, respectively, and the difference between the two groups was statistically significant ( P=0.048). Platelet counts were (248.06±87.87)×10 9/L and (288.72±109.29)×10 9/L, respectively, and there was no statistical difference between the two groups ( P=0.189). The proportion of urine protein positive was higher in the pyonephrosis group (17 vs. 20, P=0.048). Between the two groups, sex, age, body mass index, clinical symptoms (with or without low back pain), surgical history of upper urinary tract stones, underlying diseases (including hypertension, diabetes, coronary heart disease, etc.), location of hydronephrosis (left, right, and both sides), reasons of obstruction [upper urinary tract stones, other factors (such as tumor, ureteral stricture, etc.)], haemoglobin, were not statistical different. There were no significant difference in blood glucose, blood potassium, blood sodium, urine leukocytes, urine erythrocytes, urine nitrite and urine culture ( P>0.05). Multivariate logistic regression analysis showed that the difference in average CT attenuation values between renal pelvis urine and bladder urine ( OR=1.196, 95% CI 1.055-1.437, P=0.018), white blood cells ( OR=1.252, 95% CI 1.036-1.615, P=0.038), and platelets ( OR=1.014, 95% CI 1.003-1.030, P=0.025) were independent predictors of pyonephrosis. According to the above indicators, the nomogram model was established and the AUC value of the model was 0.767 (95% CI 0.616-0.918), the sensitivity was 0.611 and the specificity was 0.935. The calibration curve showed that there is a good fit between the observed value and the predicted value. The DCA analysis showed that the nomogram model has a net gain in a wide threshold range, demonstrating its predictive accuracy and clinical practicality in predicting the risk of pyonephrosis. When the cut-off value of the difference between the average CT values of pyelonephritis and cystourethrosis was 6.54 HU, the AUC value of the independent prediction of pyonephrosis was 0.690(95% CI 0.564-0.816), the sensitivity was 0.444 and the specificity was 0.935. Conclusions:The difference in average CT attenuation values between renal pelvis urine and bladder urine is an independent risk factor for predicting pyonephrosis, and the nomogram constructed by combining it with white blood cells and platelets has a good predictive effect for predicting the risk of pyonephrosis. If the difference in average CT attenuation values between renal pelvis urine and bladder urine is greater than 6.54HU, it should be alert to the occurrence of pyonephrosis.