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）］

Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Purpose: Our previous study showed that circulating tumor cell (CTC) count combined with gene mutation detection might help differentiate benign and malignant pulmonary nodules (PNs). Herein, we aimed to expand the study cohort and conduct further sequencing analysis. Materials and Methods: Patients with PNs were included, and CTCs were identified before operation. Low-coverage whole-genome sequencing (LC-WGS) and lung cancer-related targeted gene sequencing were performed on CTCs. The diagnostic efficacy was evaluated by receiver operating characteristic (ROC) curve. The differences in CTC counts among subgroups classified by demographic–clinical characteristics were analyzed. LC-WGS–based copy number variation (CNV) analysis and targeted gene mutation analysis were conducted. Results: A total of 172 patients were included. CTC count of 2.5 was identified by the ROC curves as the optimal diagnostic cutoff. The sensitivity and specificity of CTC count for differentiating benign and malignant PNs were 54.2% and 78.6%, respectively. The diagnostic sensitivity and specificity of combined CTC count, radiological nodule type, and any malignant imaging features were 84.7% and 71.4%, respectively. The CTC counts were significantly greater in patients with aggressive tumors, later stage, and spread through air spaces. CTCs from malignant cases had more CNVs than those from benign cases. Conclusion CTC count can be used in identifying malignant PNs. The diagnostic efficacy can be improved if combined with computed tomography imaging characteristics. Further CNV analysis might help differential diagnosis. Greater CTC count might suggest more aggressive tumors. CTC detection can provide important information and guidance for subsequent management of PNs.

Introduction: The 2021 IDF-DAR risk calculator had been previously evaluated in multiple studies and subsequently widely accepted and applied in clinical practice as a practical standardized tool for patient risk stratification. Recently updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating modern diabetes technologies, including continuous glucose monitoring (CGM), automated insulin delivery (AID) systems, and advanced insulin formulations to enhance risk stratification. This tool allows medical professionals to tailor Ramadan practices based on overall factors toward promoting safe fasting. Methodology: This prospective multicentre observational study recruited adults with Type 1 and Type 2 diabetes attending public hospitals nationwide. People with diabetes (PwD) intending to perform Ramadan fasting were invited to participate and assessed using the 2026 IDF-DAR Risk Calculator in the 6-week pre-Ramadan period between 30th January and 19th March 2026. Results: A total of 458 PwD were evaluated and stratified into low (15.7%), moderate (41%), and high risk (43.3%) categories. Most participants had Type 2 diabetes (83.6%), with 60.3% having a disease duration exceeding 10 years and 43% exhibiting poor glycemic control (hemoglobin A1c >9%). Insulin therapy was used by 76.4% of participants, including two individuals with Type 1 diabetes using AID systems. Most participants reported no recent hypoglycemia (76.4%), 81.0% performed glucose monitoring, and 3.3% used CGM. Severe comorbidities were uncommon, with 1.1% having unstable macrovascular disease and 4.4% advanced chronic kidney disease (estimated glomerular filtration rate <30). Notably, 72.2% received structured Ramadan education. Conclusion Majority of PwD attending tertiary diabetes clinics were in the moderate- to high-risk category and intended to fast despite medical advice against fasting in some cases. Although most participants were on insulin therapy, hypoglycemia was low in the pre-Ramadan period. Integration of modern technologies, advanced insulin therapies, and structured education may support safer fasting practices.
Risk Assessment ; Diabetes Mellitus ; Hospitals ; Fasting

Hemolysis is one of the main complications associated with the use of ventricular assist devices. The primary factors influencing hemolysis include the shear stress and exposure time experienced by red blood cells. In addition, factors such as local negative pressure and temperature may also impact hemolysis. The different combinations of hemolysis prediction models and their empirical constants lead to significant variations in prediction results; compared to the power-law model, the OPO model better accounts for the complexity of turbulence. In terms of improving hemolytic performance, research has primarily focused on optimizing blood pump structures, such as adjustments to pump gaps, impellers, and guide vanes. A small number of scholars have studied hemolytic performance through control modes of blood pump speed and the selection of blood-compatible materials. This paper reviews the main factors influencing hemolysis, prediction methods, and improvement strategies for rotary blood pumps, which are currently the most widely used. It also discusses the limitations in current hemolysis research and provides an outlook on future research directions.

Objective:To explore how one-sided/two-sided brain blood flow affects the occurrence of neurological complications in patients with Stanford type A aortic dissection, as well as to assess the factors that contribute to the development of neurological complications.Methods:A total of 162 patients diagnosed with Stanford type A aortic dissection who had undergone ascending aorta and total aortic arch replacement at Affiliated Hospital of Jining Medical College from August 2020 to December 2023 were retrospectively reviewed. These patients were categorized into two groups based on the presence of postoperative neurological complications: a group with neurological complications comprising 77 cases and a group without neurological complications comprising 85 cases. A comparative analysis was carried out on general clinical data, surgical and brain perfusion characteristics, as well as preoperative test indicators between these two groups in order to investigate the factors influencing the occurrence of postoperative neurological complications in patients with Stanford type A aortic dissection. The data was analyzed using Logistic regression to identify the risk factors associated with postoperative neurological complications and to develop a predictive nomogram model. Calibration curves, receiver operating characteristic (ROC) curves and decision curve (DCA) were generated to assess the accuracy and predictive capability of the nomogram model.Results:In the group of patients who experienced neurological complications, there was a higher prevalence of a history of hypertension, longer operation time, extended periods of cardiopulmonary bypass, cross-clamping, brain perfusion, cooling, and rewarming, as well as increased postoperative drainage volume. Additionally, the levels of preoperative blood urea nitrogen (BUN), creatinine (Cr) and lactic acid (Lac) were elevated compared to those in the non-neurological complications group: 77.9% (60/77) vs. 52.9% (45/85), (409.99 ± 104.26) min vs. (348.29 ± 63.12) min, (223.36 ± 66.86) min vs. (179.25 ± 38.59) min, 112 (94, 133) min vs. 96 (84, 113) min, (35.23 ± 9.89) min vs. (32.14 ± 6.81) min, (82.19 ± 28.69) min vs. (68.76 ± 29.06) min, (79.30 ± 22.60) min vs. (69.54 ± 16.42) min, 806 (529, 1 127) ml vs. 663 (449, 925) ml, 6.78 (5.38, 8.84) mmol/L vs. 6.08 (4.66, 7.76) mmol/L, 86.3 (64.0, 131.9) μmol/L vs. 71.0 (55.6, 84.9) μmol/L, 2.1(1.2, 4.0) mmol/L vs. 1.5 (0.9, 2.3) mmol/L. On the other hand, the percentage of patients who underwent bilateral brain perfusion was lower, and they experienced lower lowest temperature, preoperative platelet count, and ejection fraction levels than those in the non-neurological complications group: 57.1% (44/77) vs. 75.3% (64/85), (25.69 ± 1.04) ℃ vs. (26.04 ± 0.82) ℃, (175.79 ± 58.14) ×10 9/L vs. (213.87 ± 77.29) ×10 9/L, (54.18 ± 3.84)% vs. (55.34 ± 3.56)% ( P<0.05). Multivariate Logistic regression analysis revealed that a prior history of high blood pressure, prolonged cardiopulmonary bypass duration were identified as autonomous risk factors for the development of postoperative neurological issues in individuals with Stanford type A aortic dissection, while simultaneous brain perfusion emerged as an independent protective element ( P<0.05). Subsequently, a predictive nomogram was constructed incorporating these three pivotal factors to assess the likelihood of postoperative neurological complications in patients with Stanford type A aortic dissection. The calibration curve exhibited a noteworthy level of accuracy for the nomogram predictive model ( χ2 = 9.01, P = 0.342). Additionally, the ROC curve analysis displayed an area under the curve of 0.84 (95% CI 0.78 to 0.90) for the nomogram model in predicting postoperative neurological complications in patients with Stanford type A aortic dissection, indicating a high predictive accuracy. Moreover, DCA analysis indicated that the nomogram model provided a net benefit above 0 across the spectrum of 0 to 90%. Conclusions:Postoperative neurological complications in patients with Stanford type A aortic dissection is linked to factors such as a previous history of hypertension, unilateral brain perfusion, an extended cardiopulmonary bypass duration. By developing a nomogram model that incorporates these factors, it becomes feasible to accurately forecast the likelihood of postoperative neurological complications in this patient population. This predictive tool holds significant value in facilitating proactive clinical risk evaluation and preventive measures.

Aim To explore the effects of exercise during pregnancy on renal structure,function and angiotensin Ⅱ(Ang Ⅱ)/transforming growth factor-β1(TGF-β1)/connective tissue growth factor(CTGF)signaling pathway in 3-month-old offspring of spontaneously hypertensive rats(SHR),the aim of this study was to provide experimental basis for early intervention of hypertension and protection of key target organs.Methods After mating SHR and WKY rats,pregnant rats were randomly divided into sedentary group(p-WKY-SED,p-SHR-SED)and exercise group(p-WKY-EX,p-SHR-EX).Blood pressure,serum urea nitrogen and creatinine were measured by caudal artery non-invasive blood pressure system and colorimetry in 3-month-old offspring rats.HE staining,Masson staining,ELISA and Western blot were used to detect the renal structure,collagen volume fraction,Ang Ⅱ concentration,renin-angiotension-aldosterone sys-tem(RAAS)and protein expression related to fibrogenic signal pathway in 3-month-old rats.Results(1)The sys-tolic blood pressure(SBP),diastolic blood pressure(DBP)and mean arterial pressure(MAP)of offspring rats in p-SHR-SED group were significantly higher than those in p-WKY-SED group.The SBP,DBP and MAP of SHR male off-spring rats were significantly decreased by exercise during pregnancy(P＜0.05),but had no effect on the female offspring rats(P＞0.05).(2)There was no significant difference in serum urea nitrogen and creatinine among the groups(P＞0.05).(3)The glomerular volume and the collagen volume fraction in p-SHR-SED group were significantly higher than those in p-WKY-SED group(P＜0.05),and the glomerular volume and the collagen volume fraction in p-SHR-EX group were significantly lower than those in p-SHR-SED group(P＜0.05).(4)Renal Ang Ⅱ level of offspring rats in p-SHR-SED group was significantly higher than that in p-WKY-SED group,and renal Ang Ⅱ level of offspring rats in p-SHR-EX group was significantly lower than that in p-SHR-SED group(P＜0.05).(5)The expression levels of angiotensin Ⅱ type 1 receptor(AT1R),TGF-β1 and CTGF protein in p-SHR-SED group were significantly higher than those in p-WKY-SED group(P＜0.05),while the expression levels of angiotensin converting enzyme 2(ACE2),angiotensin Ⅱ type 2 receptor(AT2R)and MasR protein in p-SHR-SED group were significantly lower than those in p-WKY-SED group(P＜0.05).Conclusion(1)Exercise during pregnancy can significantly decrease the blood pressure of 3-month-old male offspring rats of hypertensive rats,but has no significant effect on that of 3-month-old female offspring.(2)Exercise during preg-nancy may reduce renal fibrosis in 3-month-old female/male offspring of hypertensive rats by regulating RAAS balance and inhibiting Ang Ⅱ/TGF-β1/CTGF signaling pathway.

Objective To develop and validate a machine learning-based predictive model to assess the in-hospital mortality risk of patients with myocardial infarction(MI)complicated by heart failure(HF)undergoing percutaneous coronary intervention(PCI).Methods This retrospective study analyzed MI patients with HF who underwent PCI at The First Affiliated Hospital of Xinjiang Medical University from January 2019 to January 2023.Patient data,including demographic characteristics,vital signs,laboratory test results,imaging parameters and medication use,were collected and randomly divided into a training set(70％)and a validation set(30％).The extreme gradient boosting(XGBoost)model was used to identify variables significantly associated with in-hospital mortality,and the Shapley additive explanations(SHAP)model was applied to assess feature importance.A predictive model was then constructed using univariate and multivariate Logistic regression analyses.Model performance was evaluated using receiver operating characteristic(ROC)curves,area under the curve(AUC)values,calibration curves,and decision curve analysis.Finally,a nomogram was developed for intuitive risk assessment.Results A total of 1 214 MI patients with HF were included in the study,with a median age of 64 years.The in-hospital mortality rate was 7.41％(90 deaths).XGBoost feature selection identified ten key predictive variables:age,myoglobin,albumin,fasting blood glucose,N-terminal pro-B-type natriuretic peptide(NT-proBNP),diabetes mellitus,creatinine,cystatin C,procalcitonin,and left ventricular ejection fraction.Based on these variables,a Logistic regression model was developed,with seven final predictors:age,diabetes mellitus,creatinine,fasting blood glucose,cystatin C,NT-proBNP,and albumin.The model demonstrated high predictive accuracy,with AUC value of 0.869(95％CI:0.84-0.89)in the training set and 0.827(95％CI:0.79-0.85)in the validation set.The calibration curve indicated that the predicted probabilities were consistent with the actual observed outcomes,and decision curve analysis showed that the model had a high net benefit across various decision thresholds.Conclusion This study developed a machine learning-based predictive model incorporating Logistic regression to assess the in-hospital mortality risk of MI patients with HF undergoing PCI.The model demonstrated high predictive performance and clinical utility.The nomogram derived from this model provides an intuitive tool for individualized risk assessment,aiding clinicians in the early identification of high-risk patients,optimizing intervention strategies,and improving patient outcomes.

Objective To investigate the association of endometrial thickness(EMT)with obstetric and neonatal outcomes of monoparous pregnancy in fresh cleavage embryos transfer.Methods A total of 1 845 patients of monoparous pregnancy after fresh cleavage embryos transfer cycles from Jan 2016 to Mar 2022 at Shanghai First Maternity and Infant Hospital,Tongji Universtiy were analyzed retrospectively.Patients were categorized into three groups by EMT on transferation day:≤8 mm(group A),8-14 mm(group B)and≥14 mm(group C).The primary outcomes were preterm birth(PTB),birth weight and birth weight z-score,small-for-gestation age,large-for-gestation age,very low birth weight,low birth weight and macrosomia.The second outcomes were pregnancy and perinatal complications.The relationship between EMT and adverse neonatal outcomes was estimated by Logistic regression analysis.Results The rate of ectopic pregnancy was increased significantly in group A.No significant differences were found among the three groups in gestation age,birth weight,birth weight z-score,PTB,small for gestation age,large for gestation age,low birth weight,very low birth weight and macrosomia.Compared with group B,the odds of adverse neonatal outcomes did not show significant differences before and after adjustment in both group A and group C by Logistic regression analysis.Conclusion Thinner EMT in fresh cleavage embryos transfer is associated with higher rate of ectopic pregnancy,while it is not independently associated with adverse perinatal outcomes.

Objective:To analyze the efficacy of endoscopic nasal surgery for sinonasal squamous cell carcinoma (SNSCC) with orbital invasion, the factors affecting the prognosis of patients, and the treatment strategies for preserving the eyeball.Methods:This was a retrospective cohort study, including 60 cases of SNSCC with orbital invasion treated in the Department of Otolaryngology-Head and Neck Surgery, the Second Affiliated Hospital of Harbin Medical University from October 2009 to October 2019. The cohort comprised 39 males and 21 females, aged 33-72 years. Orbital invasion was graded: Grade Ⅰ (destruction of the orbital bone wall), Grade Ⅱ (involvement of the periorbita/orbital fascia, extraconal fat, or medial lacrimal sac), and Grade Ⅲ (involvement of extraocular muscles, eyeball, orbital apex, or optic nerve). All cases underwent multi-disciplinary treatment (MDT), including otolaryngology, ophthalmology and oncology radiotherapy departments, and endoscopic nasal surgery. Survival curves were calculated by Kaplan-Meier method, Log-rank test and Cox risk model were used for univariate and multivariate analysis, respectively.Results:Primary tumor sites were maxillary sinus in 19 cases (31.7%, including 6 cases of pterygopalatine fossa), ethmoid sinus in 25 cases (41.7%, 5 cases with skull base bone involvement but not dura mater), nasal cavity in 11 cases (18.3%), frontal sinus in 3 cases (5.0%), and sphenoid sinus in 2 cases (3.3%). Clinical stages included stage Ⅲ in 53 (88.3%) and stage Ⅳ in 7 (11.7%). The surgical methods of orbital invasion cases were as follows: 18 cases (30.0%) of grade I underwent orbital bone wall resection with orbital fascia and orbital contents preserved; 36 cases (60.0%) in Grade Ⅱ were resected the involved orbital fascia, extra-cone fat and lacrimal sac and preserved the internal cone structure of extra-ocular muscle. Six cases (10.0%) were grade Ⅲ, of which 2 cases were subjected to selective extraocular muscle resection with preserving eyeballs, and 4 cases were subjected to orbital contents removal. The 3-year and 5-year overall survival (OS) rates of all patients were 76.7% and 63.3%, respectively, and the 5-year survival rate of the local recurrence-free group was significantly higher than that of the recurrence group (69.4% vs. 36.4%, χ2=3.91, P=0.048). The 5-year survival rates were significantly negatively correlated with the degrees of orbital invasions (83.3% for grade Ⅰ, 58.3% for grade Ⅱ and 33.3% for grade Ⅲ, ( χ2=10.49, P=0.005). The effects of T stages (66.7% in stage T3 vs. 33.3% in stage T4, χ2=7.21, P=0.007) and clinical stages (67.9% in stage III vs. 28.6% in stage IV, χ2=11.80, P=0.001) on survival rates were statistically significant. The 5-year survival rate of patients with cervical lymph node metastases was significantly lower than that of patients without metastasis (37.5% vs. 67.3%, χ2=8.32, P=0.004). The tumor-free survival rate was 56.7%. Cox multivariate analysis identified T stage [ HR=3.53 (95% CI: 1.31-9.52)] and clinical stage [ HR=35.14 (95% CI: 1.88-658.62)] as independent prognostic factors (both P<0.05). Conclusions:The outcomes of patients with orbital invasion in SNSCC are associated with T stage and clinical stage. If the muscle cone and the structures within the muscle cone are not invaded, eye-preserving surgery is feasible.