Objective To investigate the influencing factors of stroke patients with hypertension and their compliance with antihypertensive drugs, and to provide targeted intervention measures for stroke prevention in hypertensive patients.  Methods Using the method of multi-stage cluster sampling, a total of 59,434 permanent residents aged 40 and above were selected from 48 monitoring sites in 9 cities of Hebei Province from December 2019 to December 2020. Unconditional logistic regression analysis was used to explore the influencing factors of stroke complicated with hypertension and the compliance of patients with antihypertensive drugs.  Results Among the 59 434 subjects, the prevalence rate of stroke was 4.33% and the prevalence rate of stroke complicated with hypertension was 82.47%. The results of univariate analysis showed that the proportion of women, rural areas, dyslipidemia, diabetes, obesity, and people with family history of stroke was higher in stroke patients with hypertension, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that rural areas, dyslipidemia, diabetes, obesity, and family history of stroke significantly increased the risk of stroke, and the OR (95%CI) values were 1.29 (1.03-1.62), 1.39 (1.12-1.72), 1.58 (1.25-1.99), 1.61 (1.22-2.12) and 1.60 (1.26-2.04), respectively. Among stroke patients with hypertension, 92.71% of patients took antihypertensive drugs. It was found that women's compliance with antihypertensive drugs was good, with an OR (95%CI) value of 1.46 (1.01-2.09).  Conclusion The prevalence rate of stroke complicated with hypertension is high in people aged 40 and above in Hebei Province. Hypertensive people should lower blood lipids, control blood glucose, and lose weight as soon as possible to prevent the occurrence of stroke.

Background/Aims: Biliary tract cancer (BTC) frequently harbors KRAS mutations, which are associated with resistance to traditional treatment and a poor prognosis. Synthetic lethality (SL) strategy may provide other targets of KRAS. Therefore, we aim to identify and validate potential therapeutic targets of KRAS for the treatment of BTC via SL. Methods: The dependency (DepMap) projects were used to predict the synthetic lethal gene of KRAS. FDA-approved anticancer drug library was applied to screen potential drugs effective against KRAS-mutant BTC. Furthermore, the synthetic lethal effects or corresponding mechanisms of potential genes and drugs on BTC were investigated using KRAS-mutant and KRAS-wild type BTC cell lines, patient-derived xenografts (PDX), and KRAS oncogene-driven tumor models, as well as other KRAS-mutant cancer cell lines. Results: Initially, we discovered that the loss of GATA2 reduced the viability of KRAS-mutant but not KRAS-wild-type BTC. Subsequently, the drug library screened out disulfiram, which primarily exerts a synthetic lethal effect by inhibiting interleukin-1β (IL-1β) in KRAS-mutant BTC. Mechanistically, GATA2 specifically enhanced the transcription of IL-1β to promote NF-κB signaling in KRAS-mutant BTC. IL-1β inhibition phenocopied GATA2 deficiency, leading to reduced KRAS-mutant BTC viability. These synthetically lethal effects were confirmed using PDX, a KRAS oncogene-driven tumor model, as well as in other KRAS-mutant cancer cell lines. Conclusions In summary, these results indicate that inhibiting GATA2/IL1β could be a therapeutic strategy in KRAS-mutant BTC and potentially other cancers.

Digestive system tumors are the leading cause of cancer incidence and mortality globally， and their occurrence and development generally follow the key pathological process of inflammation-cancer transformation. Therefore， intervening in the precancerous lesion stage is an important strategy to block malignant transformation of the disease and reduce the incidence rate of tumors. Banxia Xiexin Tang-related prescriptions （including Banxia Xiexin Tang， Shengjiang Xiexin Tang， and Gancao Xiexin Tang） originated from the Shanghan Zabinglun They follow the principle of pungent dispersing and bitter descending， combination of cold and warm medicinals， and tonifying deficiency and purging excess， which aligns with the core pathogenesis of digestive system precancerous lesions characterized by cold-heat intermingling and disorder of ascending and descending. These prescriptions are widely used in the clinical treatment of various digestive system inflammatory disorders such as atrophic gastritis， ulcerative colitis， and reflux esophagitis. This review systematically summarizes the theoretical basis， clinical evidence， and therapeutic mechanisms of such prescriptions in preventing and treating the inflammation-cancer transformation process in the digestive system. Clinical studies have shown that whether used alone or in combination with modern therapies， Banxia Xiexin Tang can effectively alleviate symptoms， repair histopathological changes， and improve patients' quality of life. Basic research further reveals that their efficacy stems from multi-target systemic regulatory effects： ameliorating the chronic inflammatory microenvironment， antagonizing oxidative stress， reshaping the gut microbiota， restoring the immune balance， regulating cell proliferation and apoptosis， etc. On the basis of the convergence of traditional Chinese and Western medicine understanding of inflammation-cancer transformation， this article constructs a research framework centered on regulating the inflammatory microenvironment homeostasis to systematically elucidate the mechanism of treating different diseases with the same method （Banxia Xiexin Tang）. In view of the limitations of current research in terms of evidence level， disease-syndrome combination models， and overall mechanism analysis of compound prescriptions， this article proposes future research directions of integrating high-quality clinical research， systems biology， and cutting-edge technologies， providing a new theoretical basis and translational ideas for the precise prevention and control of digestive system tumors with traditional Chinese medicine.

Objective To explore the mediating role of occupational well-being in the relationship between professional identity and safety behavior among nurses. Methods A total of 1 006 nurses from ten tertiary general hospitals in eight provincial administrative regions were selected as the research subjects using convenient sampling method. Their safety behavior, professional identity and occupational well-being were investigated using Nurse Safety Behavior Scale, Nurse Professional Identity Scale and Occupational Well-being Scale. Structural equation modeling was performed using AMOS 26.0 to examine the mediating effect of occupational well-being in the relationship between professional identity and safety behavior among nurses. Results The scores for safety behavior, professional identity, and occupational well-being were (53.0±6.1), (123.7±21.2) and (90.8±13.1), respectively. Safety behavior was positively correlated with both professional identity and occupational well-being (correlation coefficients were 0.50 and 0.50, respectively, both P<0.01). Professional identity was positively correlated with occupational well-being (correlation coefficient was 0.51, P<0.01). The multiple linear regression analysis results showed that the higher the professional identity and occupational well-being of nurses, the higher the level of safety behavior (both P<0.05). The result of mediating effect shows that the total effect of occupational identity on safety behavior was 0.498 [95% confidence interval (CI) was 0.405-0.576], and occupational well-being played a mediating role between professional identity and safety behavior among nurses with the mediation effect of 0.156 (95%CI was 0.112-0.205), accounting for 31.33% of the total effect. Conclusion The safety behavior of nurses is at a moderate level. Both professional identity and occupational well-being can affect the safety behavior of nurses. Professional identity can increase the safety behavior of nurses by affecting occupational well-being.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective: To explore the efficacy of focal radiofrequency ablation (RFA) in the treatment of low-to-intermediate risk localized prostate cancer and its impact on postoperative urinary control and sexual function recovery，in order to explore the feasibility of minimally invasive methods for the treatment of localized prostate cancer. Methods: Clinical data of 28 patients with low-to-intermediate risk localized prostate cancer who underwent RFA in Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School during Jun.2017 and Feb.2021 were retrospectively analyzed.The 5-year failure-free survival (FFS) rate，surgery related complications，postoperative urinary control and sexual function were collected.The differences between the survival curves of patients in the low-risk and intermediate-risk subgroups were assessed with log-rank test and Breslow test. Results: All surgeries were successfully completed under local anesthesia.During the median follow-up of 43 (40-49) months，the 5-year FFS rate predicted by Kaplan-Meier method was 78.57%; 25 patients (89.29%) did not experience surgery-related complications; 27 patients (96.43%) were able to control urination; 1 patient developed new-onset sexual dysfunction.There was no significant difference in the survival curves between patients in the low-risk and intermediate-risk groups (P>0.05). Conclusion: RFA for patients with low-to-intermediate risk localized prostate cancer has good clinical efficacy，little impact on urinary control and sexual function recovery，and few postoperative complications，which can be used as one of the treatment options for these patients.

BACKGROUND: Generalized pustular psoriasis (GPP), a rare and recurrent autoinflammatory disease, imposes a substantial burden on patients and society. Awareness of GPP in China remains limited. METHODS: This cross-sectional survey, conducted between September 2021 and May 2023 across 14 hospitals in China, included GPP patients of all ages and disease phases. Data collected encompassed demographics, clinical characteristics, economic impact, disease severity, quality of life, and treatment-related complications. Risk factors for GPP recurrence were analyzed. RESULTS: Among 127 patients (female/male ratio = 1.35:1), the mean age of disease onset was 25 years (1st quartile [Q1]-3rd quartile [Q3]: 11-44 years); 29.2% had experienced GPP for more than 10 years. Recurrence occurred in 75.6% of patients, and nearly half reported no identifiable triggers. Younger age at disease onset ( P  = 0.021) and transitioning to plaque psoriasis ( P  = 0.022) were associated with higher recurrence rates. The median diagnostic delay was 8 months (Q1-Q3: 2-41 months), and 32.3% of patients reported misdiagnoses. Comorbidities were present in 53.5% of patients, whereas 51.1% experienced systemic complications during treatment. Depression and anxiety affected 84.5% and 95.6% of patients, respectively. During GPP flares, the median Dermatology Life Quality Index score was 19.0 (Q1-Q3: 13.0-23.5). This score showed significant differences between patients with and without systemic symptoms; it demonstrated correlations with both depression and anxiety scores. Treatment costs caused financial hardship in 55.9% of patients, underscoring the burden associated with GPP. CONCLUSIONS The substantial disease and economic burdens among Chinese GPP patients warrant increased attention. Patients with early onset disease and those transitioning to plaque psoriasis require targeted interventions to mitigate the high recurrence risk.
Humans ; Male ; Female ; Psoriasis/pathology* ; Adult ; Cross-Sectional Studies ; Adolescent ; Child ; Young Adult ; Quality of Life ; Middle Aged ; China/epidemiology* ; Recurrence ; Risk Factors ; Surveys and Questionnaires ; East Asian People

The production of high-quality oocytes requires precisely orchestrated intercellular communication. Extracellular vesicles (EVs) are cell-derived nanoparticles that play a vital role in the transfer of bioactive molecules, which has gained much attention in the field of diagnosis and treatment. Over the past ten years, the participation of EVs in the reproductive processes of oocytes has been broadly studied and has shown great potential for elucidating the intricacies of female reproductive health. This review provides an extensive discussion of the influence of EVs on oocytes, emphasizing their involvement in normal physiology and altered cargo under pathological conditions. In addition, the positive impact of therapeutic EVs on oocyte quality and their role in alleviating ovarian pathological conditions are summarized.
Humans ; Extracellular Vesicles/physiology* ; Oocytes/cytology* ; Female ; Animals ; Cell Communication/physiology*

BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*