Objective To investigate the protective effects and mechanism of Shuilian Fengkui Formula(SFF)of Yao medicine on sequelae pelvic inflammatory disease(SPID)in rats.Methods The SPID rat model was established by mechanical injury coupled with bacterial infection,and then the rats were randomly divided into:the SPID group,the positive drug(Fukeqianjin tablets)group,SFF groups at low,medium and high doses,and the sham-operation group,with 8 rats in each group;SPID group,SFF groups,TLR4 agonist CRX-527(CRX-527)group,SFF plus CRX-527 group,with 8 rats in each group.Corresponding drug intervention was given for 21 consecutive days.The indexes of uterus,spleen,thymus and other organs were calculated.The histopathological changes in rat uterus were observed by HE staining.The levels of interleukin-1β(IL-1β),interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),immunoglobulin G(IgG),immunoglobulin M(IgM)in serum were detected by ELISA;The protein expression levels of Toll receptor 4(TLR4),myeloid differentiation factor(MyD88),nuclear factor kappa B p65(NF-κB p65),and phosphorylated nuclear factor kappa B p65(p-NF-κB p65)in rat uterine tissues were detected by Western blot.Results Compared with the sham operation group,the uterine index of SPID group significantly increased(P<0.01),the spleen index and thymus index significantly decreased(P<0.01),the pathological damage of uterine tissue was serious,the contents of IL-1β,IL-6,TNF-α in serum significantly increased(P<0.01),the contents of IgG and IgM significantly decreased(P<0.01),the TLR4,MyD88 protein and the ratio of p-NF-κB p65/NF-κB p65 protein in uterine tissue significantly increased(P<0.01).Compared with the SPID group,the uterine index of the positive drug group and the SFF groups significantly decreased(P<0.05),the spleen index and thymus index significantly increased(P<0.05),the pathological damage of uterine tissue significantly improved,the contents of IL-1β,IL-6 and TNF-α in serum were significantly lowered(P<0.05),the contents of IgG and IgM significantly increased(P<0.05),and the TLR4,MyD88 protein and the ratio of p-NF-κB p65/NF-κB p65 protein in uterine tissue significantly downregulated(P<0.01).However,CRX-527 significantly reversed the effects of SFF on SPID in rats.Conclusion SFF could improve SPID in rats by impeding the inflammatory response,and its mechanism might be attributed to inhibition of TLR4/MyD88/NF-κB signaling pathway.

Objective:The influencing factors of intraoperative hypoxemia in patients with benign central airway stenosis were investigated by machine learning algorithm, and the prediction model of hypoxemia was constructed and verified.Methods:A case-control study was used in this study. The clinical data of 650 patients with benign central airway stenosis who who received surgical treatment in the First Affiliated Hospital of PLA Naval Medical University from June 2022 to April 2024 were retrospectively analyzed. And they were divided into a training set ( n=455) and a test set ( n=195) according to 7:3. The training set was used for establishing Logistic regression model and conducting internal verification, and the test set was used for external verification. The least absolute shrinkage and selection operator (LASSO) regression and Boruta algorithm were used to select the factors affecting intraoperative hypoxemia in patients with benign central airway stenosis. A Logistic regression prediction model was constructed, and the model was evaluated using area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA) and calibration curve. Shapley additive interpretation (SHAP) were used to analyze the importance of influencing factors. Results:Among 650 patients, 279 were males and 371 were females, aged (37.86 ± 8.82) years. Nine feature variables were screened by LASSO regression, while 7 feature variables were screened by Boruta algorithm, the intersection of the two was operation time, complications, degree of airway stenosis, thermal ablation therapy, balloon dilation, and airway stent, respectively, based on this, a logistic regression prediction model was constructed.The AUC values of the training set, validation set and test set of the model were 0.928 (95% CI 0.903-0.954), 0.922 (95% CI 0.843-0.995) and 0.919 (95% CI 0.872-0.965), respectively. The calibration curve showed that the predicted results of the model were in good agreement with the actual results, and the DCA curve showed that the model had clinical application value. SHAP analysis showed that the importance of variables affecting intraoperative hypoxemia in benign central airway stenosis patients was ranked as operation time, thermal ablation therapy, degree of airway stenosis, comorbidification, balloon dilation, and airway stent. Conclusions:The Logistic regression prediction model of intraoperative hypoxemia built based on machine learning algorithm has good prediction efficiency, which is helpful to early identification of risk groups and prevention of hypoxemia.

Objective To investigate the protective effects and mechanism of Shuilian Fengkui Formula(SFF)of Yao medicine on sequelae pelvic inflammatory disease(SPID)in rats.Methods The SPID rat model was established by mechanical injury coupled with bacterial infection,and then the rats were randomly divided into:the SPID group,the positive drug(Fukeqianjin tablets)group,SFF groups at low,medium and high doses,and the sham-operation group,with 8 rats in each group;SPID group,SFF groups,TLR4 agonist CRX-527(CRX-527)group,SFF plus CRX-527 group,with 8 rats in each group.Corresponding drug intervention was given for 21 consecutive days.The indexes of uterus,spleen,thymus and other organs were calculated.The histopathological changes in rat uterus were observed by HE staining.The levels of interleukin-1β(IL-1β),interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),immunoglobulin G(IgG),immunoglobulin M(IgM)in serum were detected by ELISA;The protein expression levels of Toll receptor 4(TLR4),myeloid differentiation factor(MyD88),nuclear factor kappa B p65(NF-κB p65),and phosphorylated nuclear factor kappa B p65(p-NF-κB p65)in rat uterine tissues were detected by Western blot.Results Compared with the sham operation group,the uterine index of SPID group significantly increased(P<0.01),the spleen index and thymus index significantly decreased(P<0.01),the pathological damage of uterine tissue was serious,the contents of IL-1β,IL-6,TNF-α in serum significantly increased(P<0.01),the contents of IgG and IgM significantly decreased(P<0.01),the TLR4,MyD88 protein and the ratio of p-NF-κB p65/NF-κB p65 protein in uterine tissue significantly increased(P<0.01).Compared with the SPID group,the uterine index of the positive drug group and the SFF groups significantly decreased(P<0.05),the spleen index and thymus index significantly increased(P<0.05),the pathological damage of uterine tissue significantly improved,the contents of IL-1β,IL-6 and TNF-α in serum were significantly lowered(P<0.05),the contents of IgG and IgM significantly increased(P<0.05),and the TLR4,MyD88 protein and the ratio of p-NF-κB p65/NF-κB p65 protein in uterine tissue significantly downregulated(P<0.01).However,CRX-527 significantly reversed the effects of SFF on SPID in rats.Conclusion SFF could improve SPID in rats by impeding the inflammatory response,and its mechanism might be attributed to inhibition of TLR4/MyD88/NF-κB signaling pathway.

Objective:The influencing factors of intraoperative hypoxemia in patients with benign central airway stenosis were investigated by machine learning algorithm, and the prediction model of hypoxemia was constructed and verified.Methods:A case-control study was used in this study. The clinical data of 650 patients with benign central airway stenosis who who received surgical treatment in the First Affiliated Hospital of PLA Naval Medical University from June 2022 to April 2024 were retrospectively analyzed. And they were divided into a training set ( n=455) and a test set ( n=195) according to 7:3. The training set was used for establishing Logistic regression model and conducting internal verification, and the test set was used for external verification. The least absolute shrinkage and selection operator (LASSO) regression and Boruta algorithm were used to select the factors affecting intraoperative hypoxemia in patients with benign central airway stenosis. A Logistic regression prediction model was constructed, and the model was evaluated using area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA) and calibration curve. Shapley additive interpretation (SHAP) were used to analyze the importance of influencing factors. Results:Among 650 patients, 279 were males and 371 were females, aged (37.86 ± 8.82) years. Nine feature variables were screened by LASSO regression, while 7 feature variables were screened by Boruta algorithm, the intersection of the two was operation time, complications, degree of airway stenosis, thermal ablation therapy, balloon dilation, and airway stent, respectively, based on this, a logistic regression prediction model was constructed.The AUC values of the training set, validation set and test set of the model were 0.928 (95% CI 0.903-0.954), 0.922 (95% CI 0.843-0.995) and 0.919 (95% CI 0.872-0.965), respectively. The calibration curve showed that the predicted results of the model were in good agreement with the actual results, and the DCA curve showed that the model had clinical application value. SHAP analysis showed that the importance of variables affecting intraoperative hypoxemia in benign central airway stenosis patients was ranked as operation time, thermal ablation therapy, degree of airway stenosis, comorbidification, balloon dilation, and airway stent. Conclusions:The Logistic regression prediction model of intraoperative hypoxemia built based on machine learning algorithm has good prediction efficiency, which is helpful to early identification of risk groups and prevention of hypoxemia.

Objective Based on the best evidences to establish the practice plan of discharge preparation service for patients after receiving percutaneous transhepatic biliary drainage(PTBD),and to assess its clinical application value.Methods According to the PIPOST principle the clinical questions were proposed,the best evidences of discharge preparation service for patients after receiving PTBD were retrieved and summarized.The review indicators and review methods were formulated.The baseline review was carried out,the facilitators and barrier factors were analyzed,the change strategies were developed,the clinical transforms were implemented,and the patient outcomes were evaluated.Results After application of the evidences,the implementation of the review indicators of discharge preparation services after PTBD was improved.After discharge,the incidence of catheter complications(including catheter falling-off and puncture site skin infection)was decreased,and the difference was statistically significant(P＜0.05).There were no statistically significant differences in the incidences of tube obstruction and fluid extravasation.Conclusion The evidence-based practice of discharge preparation service for patients after receiving PTBD is helpful for improving the self-care ability of patients after discharge,reducing the incidence of tubular complications and improving the clinical outcome of patients.

Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

The paper discusses the scientific connotation of"heart and brain co-dominating the mind",including the connotation of"heart and brain co-dominating the mind"in traditional Chinese medicine and the physiological and pathological relationship be-tween heart and brain in modern medicine.Based on the understanding of"heart and brain co-dominating the mind",this paper be-lieves that"restlessness of mind"is the core pathogenesis of insomnia,and regulating mind is the key to the acupuncture and moxibus-tion treatment of insomnia.The autonomic nervous system(ANS)is a bridge connecting the heart and brain,and is closely related to the central anatomy,neurotransmitters and physiological rhythms of sleep.The imbalance of ANS is highly consistent with the patho-genesis of"heart and brain restlessness"in traditional Chinese medicine.The Governor Vessel runs through the brain and the heart,and the"Governor Vessel regulating spirit acupuncture"can communicate the heart and brain,regulate ANS function,and thus im-prove sleep quality.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective To investigate the global burden of visceral leishmaniasis (VL) from 1990 to 2021 and predict the trends in the burden of VL from 2022 to 2035, so as to provide insights into global VL prevention and control. Methods The global age-standardized incidence, prevalence, mortality and disability-adjusted life years (DALYs) rates of VL and their 95% uncertainty intervals (UI) were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources. The trends in the global burden of VL were evaluated with average annual percent change (AAPC) and 95% confidence interval (CI) from 1990 to 2021, and gender-, age-, country-, geographical area- and socio-demographic index (SDI)-stratified burdens of VL were analyzed. The trends in the global burden of VL were projected with a Bayesian age-period-cohort (BAPC) model from 2022 to 2035, and the associations of age-standardized incidence, prevalence, mortality, and DALYs rates of VL with SDI levels were examined with a smoothing spline model. Results The global age-standardized incidence [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)], prevalence [AAPC = -0.06%, 95% CI: (-0.06%, -0.06%)], mortality [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)] and DALYs rates of VL [AAPC = -2.38%, 95% CI: (-2.44%, -2.33%)] all appeared a tendency towards a decline from 1990 to 2021, and the highest age-standardized incidence [2.55/10⁵, 95% UI: (1.49/10⁵, 4.07/10⁵)], prevalence [0.64/10⁵, 95% UI: (0.37/10⁵, 1.02/10⁵)], mortality [0.51/10⁵, 95% UI: (0, 1.80/10⁵)] and DALYs rates of VL [33.81/10⁵, 95% UI: (0.06/10⁵, 124.09/10⁵)] were seen in tropical Latin America in 2021. The global age-standardized incidence and prevalence of VL were both higher among men [0.57/10⁵, 95% UI: (0.45/10⁵, 0.72/10⁵); 0.14/10⁵, 95% UI: (0.11/10⁵, 0.18/10⁵)] than among women [0.27/10⁵, 95% UI: (0.21/10⁵, 0.33/10⁵); 0.06/10⁵, 95% UI: (0.05/10⁵, 0.08/10⁵)], and the highest mortality of VL was found among children under 5 years of age [0.24/10⁵, 95% UI: (0.08/10⁵, 0.66/10⁵)]. The age-standardized incidence (r = -0.483, P < 0.001), prevalence (r = -0.483, P < 0.001), mortality (r = -0.511, P < 0.001) and DALYs rates of VL (r = -0.514, P < 0.001) correlated negatively with SDI levels from 1990 to 2021. In addition, the global burden of VL was projected with the BAPC model to appear a tendency towards a decline from 2022 to 2035, and the age-standardized incidence, prevalence, mortality and DALYs rates were projected to be reduced to 0.11/10⁵, 0.03/10⁵, 0.02/10⁵ and 1.44/10⁵ in 2035, respectively. Conclusions Although the global burden of VL appeared an overall tendency towards a decline from 1990 to 2021, the burden of VL showed a tendency towards a rise in Central Asia and western sub-Saharan African areas. The age-standardized incidence and prevalence rates of VL were relatively higher among men, and the age-standardized mortality of VL was relatively higher among children under 5 years of age. The global burden of VL was projected to continue to decline from 2022 to 2035.