OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

To analyze the clinical and genetic features of oculopharyngodistal myopathy (OPDM) patients and compare the phenotypic differences among various causative genes.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

In the context of global warming, protecting outdoor workers from occupational heat exposure has become an important public health concern. This review summarized the principle, applicability, and limitation of three categories of wet bulb globe temperature (WBGT) prediction models: empirical regression models, heat-balance models, and machine-learning models. Drawing on international experience from the United States, Europe, and Japan, this review further examined the technical challenges of applying WBGT-based prediction models to large-scale occupational heat stress early warning systems. In response to gaps in occupational heat stress management in China, WBGT should be considered a core assessment indicator to support a transition from passive response to proactive intervention. A localized implementation pathway is proposed, incorporating mechanism-based model calibration, regional parameter adaptation, and multi-source data fusion. Strengthening collaboration between public health and meteorological departments and developing platform-based flexible intervention strategies for workers in new forms of employment may improve the targeting of occupational heat stress early warning and health protection. Future research should focus on physics-constrained machine learning, refined microenvironmental prediction, and individualized risk assessment to support the development of a digitally enabled occupational heat-health protection framework.

Objective:To investigate the short-term efficacy of bevacizumab combined with chemotherapy in patients with advanced cervical cancer, as well as its effects on tumor markers and immune function.Methods:A retrospective analysis was conducted on 60 patients with advanced cervical cancer who received treatment at Yiwu Central Hospital from January 2020 to March 2024. The patients were divided into an observation group and a control group ( n = 30 per group) based on whether they received bevacizumab. Patients in the observation group received bevacizumab in combination with chemotherapy, while those in the control group received chemotherapy alone. The two groups were evaluated over two consecutive treatment cycles, with each cycle lasting 21 days. Short-term efficacy was compared between the two groups. The Karnofsky score, tumor markers, and immune function were assessed before and after treatment in both groups. Additionally, the incidence of adverse reactions was compared between the two groups. Results:The objective response rate in the observation group was significantly higher than that in the control group [73.33% (22/30) vs. 46.67% (14/30), χ2 = 4.44, P<0.05]. After treatment, the Karnofsky score in the observation group was significantly higher than that in the control group [(83.39 ± 4.43) vs. (75.48 ± 4.06), t = 7.21, P<0.001]. The serum levels of carbohydrate antigen 125, carcinoembryonic antigen, and carbohydrate antigen 19-9 in the observation group were all significantly lower than those in the control group ( t = -11.27, -8.91, -13.33, all P<0.001). CD 3+, CD 4+, and CD 4+/CD 8+ were significantly higher in the observation group compared with the control group ( t = 10.20, 10.74, 10.17, all P<0.001). The incidence of adverse reactions did not differ significantly between the two groups (all P>0.05). Conclusions:In patients with advanced cervical cancer, bevacizumab combined with chemotherapy demonstrates better efficacy than chemotherapy alone. The combined therapy is more effective in lowering serum levels of carbohydrate antigen 125, carcinoembryonic antigen, and carbohydrate antigen 19-9, as well as enhancing immune function, without increasing adverse reactions compared with chemotherapy alone.

Aim To investigate the therapeutic effects of a newly developed Tadalafil tablets on pathological myocardial hypertrophy induced by abdominal aortic constriction(AAC)in rats,as well as its influence on the activation of the NF-κB signaling pathway in myo-cardial cells.Methods SD rats were randomly divid-ed into 4 groups:the sham operation group(Sham),the model group(AAC),the tadalafil new tablet treat-ment group(N-Tad,5 mg·kg-1),and the positive control drug treatment group(Cialis,10 mg·kg-1g).The AAC model group and treatment group rats under-went blunt dissection and constrictive ligation of the abdominal aorta at the left renal artery branch point during surgery,while the Sham group rats only had their arteries separated without any constrictive liga-tion.Rats in the treatment groups received either N-Tad or Cialis via gavage three days after modeling,while rats in the sham group and the model group re-ceived physiological saline daily for 8 weeks.Small an-imal ultra-high-resolution echocardiography and hemo-dynamic assessment were applied to evaluate left ven-tricular function in each group of rats,and the calcula-tion of the left ventricular mass index was conducted.By employing Western blot and RT-PCR.we assessed the impact of this treatment on the expression of the hy-pertrophy factor atrial natriuretic peptide(ANP),phosphorylated NF-κB p65 protein(p-NF-κB p65),and phosphorylated IκB-α in the left heart tissue of rats and in H9c2 cardiomyocytes.Results Compared to the Sham group,the AAC rats exhibited a significant decrease in left heart function,an increase in left ven-tricular mass index,and a notable increase in ANP and p-p65 expression in the left heart tissue(P＜0.05).Both N-Tad and Cialis treatments could significantly enhance left ventricular function,decrease left ventric-ular mass index,and inhibit the expression of ANP and phosphorylated NF-κB p65 in rats with myocardial hy-pertrophy(P＜0.05).Notably,the therapeutic effect of low-dose N-Tad was comparable to that of high-dose Cialis.At the cellular level,Tadalafil significantly in-hibited the activation of the NF-κB signaling pathway and reduced the expression of associated proteins in H9c2 cardiomyocytes.Conclusions N-Tad can sig-nificantly inhibit p65 and IκB-α phosphorylation,and the activation of the NF-κB signaling pathway,reduce ANP expression,and improve pathological myocardial hypertrophy,as well as mitigate left heart function damage caused by abdominal aortic constriction.

Objective To explore the brain damage of SD rats under different time points of hypobaric hypoxia exposure.Methods A rat high-altitube cerebral edema(HACE)model was constructed by simulating an altitude of 6 000 m in a hypobaric hypoxia animal experimental chamber.Thirty-six SD male rats were randomly divided into the control group and the hypobaric hypoxia exposure 3,7 and 14 d groups,with 9 rats in each group.Except for the control group,the rats in each group were continuously exposed to hypobaric hypoxia for 3,7,and 14 d.At the end of the modeling period,serum was collected by blood sampling via the abdominal aorta,and brain tissue samples were taken.The wet-to-dry ratio(W/D)of brain tissue was calculated,and the levels of relevant oxidative enzymes in serum and brain tissue were measured.The expression levels of hypoxia-inducible factor-1α(HIF-1α)and aquaporin 4(AQP4)mRNAs in brain tissue were detected by real-time fluorescence quantitative polymerase chain reaction.Results The W/D of brain tissues in the control group and the group exposed to hypobaric hypoxia for 3,7 and 14 d were 4.46±0.12,4.98±0.16,5.07±0.18 and 4.95±0.07;the superoxide dismutase contents were(111.86±2.45),(90.73±1.48),(79.64±2.56)and(55.33±1.45)U·g-1;the glutathione contents were(126.91±5.18),(125.26±1.53),(56.20±2.17)and(122.73±1.78)μg·mL-1;the malondialdehyde contents were(230.94±2.00),(362.65±3.28),(407.34±3.47)and(237.50±1.59)nmol·g-1;the relative expression levels of HIF-1 α mRNA were 1.00±0,2.99±0.49,4.72±0.49 and 1.91±0.28;the relative expression levels of AQP4 mRNA were 1.00±0,2.62±0.34,8.38±0.84 and 5.27±0.42,respectively.Statistically significant differences were found between the above indexes in the 3,7 and 14 d of hypobaric hypoxia exposure group compared with the control group(P＜0.05,P＜0.01).Conclusion Different time of hypobaric hypoxia exposure can up-regulate the expression of AQPs proteins in HACE rats and cause the disruption of the blood-brain barrier,and the HACE model constructed in the hypobaric hypoxia chamber with 6 000 m intervention for 7 d was more stable.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Objective:A model for predicting sentinel lymph node metastasis was established based on positron emission tomography(PET)-related metabolic parameters and clinicopathological characteristics.Methods:A retro-spective analysis was conducted on 211 patients diagnosed with breast cancer through surgical pathology from January 2016 to March 2023 in Meizhou People's Hospital,who underwent whole-body PET/CT examinations prior to surgery.Clinical,pathological,and PET-related metabolic parameters were collected.The study analyzed the association be-tween clinicopathological characteristics of the primary breast cancer lesion,PET metabolic parameters,and sentinel lymph node metastasis.A logistic regression predictive model was constructed using Broussonetia papyrifera.Results:Breast cancer primary lesion PET-suspicious axillary lymph nodes,vascular tumor thrombus,estrogen receptor(ER),and progesterone receptor(PR)showed statistically significant differences between the two groups(all P<0.05),while maxi-mum tumor diameter,SUVmax tumor location,maximum standardized uptake value(SUVmax),metabolic tumor volume(MTV),total lesion glycolysis(TLG),tumor location,number of lesions,pathological type,histological grade,neural inva-sion,Homo sapiens epidermal growth factor receptor 2(HER-2),and nuclear-associated antigen Ki-67(Ki-67)showed no statistically significant differences between the two groups(all P>0.05).Parameters with P<0.05 in the univariate analysis were subjected to multivariate logistic regression analysis,and the logistic regression model was established as Logit(P)=-0.437×vascular tumor thrombus+4.685×suspicious axillary lymph node metastasis.The predictive model AUC was 0.738(P<0.001,95%CI:0.664～0.812),with sensitivity and specificity of 63.4%and 74.4%,respectively.Con-clusion:PET findings of the primary breast cancer lesion regarding suspicious axillary lymph node metastasis,vascular tumor thrombus,ER and PR are associated with sentinel lymph node metastasis.The predictive model established based on PET-detected suspicious axillary lymph node metastasis and vascular tumor thrombus in primary breast cancer lesions has certain value in predicting sentinel lymph node metastasis,potentially providing a non-invasive examination modality for clinical practice.

Background and Aims:Medullary thyroid carcinoma(MTC)is an aggressive malignancy that is frequently associated with cervical lymph node metastasis,significantly affecting patient prognosis.However,the risk factors for lateral cervical lymph node metastasis(LLNM)in MTC remain inconclusive.This study aims to identify the risk factors associated with LLNM in MTC patients,in order to inform individualized surgical decision-making.Methods:The clinicopathologic data of 242 patients with MTC who underwent surgical treatment at Tianjin Medical University Cancer Institute and Hospital from 2011 to 2019 were retrospectively collected.The relationships between preoperative tumor markers,including calcitonin and carcinoembryonic antigen(CEA),and LLNM were evaluated.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for LLNM.Results:Preoperative calcitonin level was significantly associated with tumor diameter,the number of lymph node metastases,and the extent of lymph node involvement,while preoperative CEA level was significantly associated with tumor diameter(all P<0.05).The area under the ROC curve for preoperative calcitonin in diagnosing LLNM was 0.750(P=0.000),with an optimal cutoff value of 266.00 ng/L(sensitivity 0.854,specificity 0.577).The diagnostic value of preoperative CEA for LLNM was limited.Univariate analysis showed that sex,extracapsular extension,T stage,central lymph node metastasis(CLNM),bilateral lesions,preoperative calcitonin,tumor diameter,and multifocality were significantly associated with LLNM in MTC patients(all P<0.05).Multivariate analysis revealed that CLNM(OR=17.645,95%CI=7.728-40.290)and preoperative calcitonin≥266.00 ng/L(OR=7.832,95%CI=3.132-19.582)were independent risk factors for LLNM.Conclusion:CLNM and elevated preoperative calcitonin level are closely associated with LLNM in patients with MTC.The combination of these two indicators may help identify high-risk patients for LLNM,thereby and promoting individualized and precise treatment strategies for MTC.