OBJECTIVE To provide a basis for aligning Chinese pharmacoeconomic research on heart failure （HF） with international standards. METHODS A qualitative comparison o f domestic and global HF pharmacoeconomic studies was conducted across four dimensions： research methods and model application， research perspectives and endpoints， data sources and parameter selection， and policy translation and practical impact. RESULTS & CONCLUSIONS Global studies predominantly utilize long-term dynamic models， societal perspectives， real-world data integration， and directly inform reimbursement decisions. Conversely， domestic research often relies on short-term simplified models， a single healthcare system perspectives， literature-derived data， and individual medicine recommendations. Future domestic studies should transition to long-term dynamic modeling， develop localized disease-specific utility databases via big data， establish reimbursement-linked closed-loop mechanisms， and foster multidisciplinary collaboration to optimize healthcare resource allocation.

The active ingredients of Curcuma aromatica have multi-target effects and could intervene in the process of neurodegenerative diseases from multiple perspectives, such as promoting the clearance of Aβ, anti-inflammatory, anti-oxidant, neuroprotective, anti-depressant, and anti-tumor effects. However, the low bioavailability of Curcuma extracts limits their therapeutic effects in the body. In addition, the side effects of long-term use and the dose-effect relationship are still unclear, and more new pharmacodynamic observations are needed. This article reviews the research on single-ingredient and compound traditional Chinese medicine preparations of Curcuma to provide references for clinical medication.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

The active ingredients of Curcuma aromatica have multi-target effects and could intervene in the process of neurodegenerative diseases from multiple perspectives, such as promoting the clearance of Aβ, anti-inflammatory, anti-oxidant, neuroprotective, anti-depressant, and anti-tumor effects. However, the low bioavailability of Curcuma extracts limits their therapeutic effects in the body. In addition, the side effects of long-term use and the dose-effect relationship are still unclear, and more new pharmacodynamic observations are needed. This article reviews the research on single-ingredient and compound traditional Chinese medicine preparations of Curcuma to provide references for clinical medication.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Objective: This study aims to elucidate the role of aryl hydrocarbon receptor nuclear transporter 2 (ARNT2) in cervical cancer (CC) and explore the potential mechanism by which ARNT2 promotes the progression of CC through the protein phosphatase 2A (PP2A)/Akt signaling pathway. Methods: Bioinformatics tools were used to analyze the expression level of ARNT2 in cancer and its correlation with cancer prognosis. Western Blot and immunohistochemistry staining were used to detect the expression of ARNT2 protein in CC tissues and cells. ARNT2 was knocked down in SiHa and HeLa cells, respectively. Cell Counting Kit-8 assay and colony formation assay were used to detect changes in cell proliferation. Transwell assay and plate scratch assay were used to detect changes in cell migration and invasion. Western Blot assay was used to detect changes in the expression of PP2A/Akt signaling pathway after ARNT2 expression was downregulated. Finally, a CC xenograft tumor model was constructed to evaluate the effect of ARNT2 on SiHa cell tumorigenesis in vivo. Results: ARNT2 is highly expressed in tumor tissues and cell lines. ARNT2 knockdown can significantly inhibit the proliferation, invasion and migration of SiHa and HeLa cells in vitro and in xenograft models. Further studies have shown that ARNT2 may promote tumor formation by regulating the PP2A/Akt pathway. Conclusion ARNT2 promotes the malignant biological behavior of CC cells through the PP2A/Akt signaling pathway, confirming its potential as a prognostic marker for CC.

Objective:To investigate the consistency of domestic F-STROKE, NeuBrainCARE MRI automatic post-processing software and RAPID MRI automatic post-processing software in the output of infarction core area volume, time-to-maximum volume and ischemic penumbra volume in patients with acute ischemic stroke.Methods:The research was cross-sectional. The clinical and imaging data of patients with acute ischemic stroke from January 2016 to March 2021 were retrospectively collected, including 149 cases from Shanghai Fourth People′s Hospital Affiliated to Tongji University (Center 1), 120 cases from Langfang Changzheng Hospital of Hebei Province (Center 2), and 45 cases from Wuzhou Workers Hospital (Center 3). All patients underwent diffusion weighted imaging (DWI) and dynamic magnetic sensitivity contrast-perfusion weighted imaging (DSC-PWI). RAPID, F-STROKE and NeuBrainCARE automatic post-processing software were used to perform automatic post-processing analysis of MRI images of all patients with acute ischemic stroke. The infarct core (apparent diffusion coefficient<620×10 -6 mm 2/s) volume, time-to-maximum (T max>6 s) volume and the ischemic penumbra (PWI-DWI mismatch) volume were output. The Wilcoxon test was used to analyze the difference between F-STROKE, NeuBrainCARE, and RAPID software outputs of infarct core volume, time to maximum peak volume, and ischemic penumbra volume. Bland-Altman and intraclass correlation coefficient ( ICC) were used to analyze the consistency of the infarct core volume, time-to-maximum volume and ischemic penumbra volume output by F-STROKE, NeuBrainCARE and RAPID software. Results:There were statistically significant differences in the core infarct volume between F-STROKE and RAPID software, NeuBrainCARE and RAPID software ( Z=-10.17, -5.43, both P<0.001). There were significant differences in the time-to-maximum volume between F-STROKE and RAPID software, NeuBrainCARE and RAPID software ( Z=-3.17, -5.51, both P<0.05). There was no significant difference in the ischemic penumbra volume between F-STROKE software and RAPID software ( Z=-1.43, P=0.153), and there was significant difference in the ischemic penumbra volume between NeuBrainCARE software and RAPID software ( Z=-6.45, P<0.05). Bland-Altman analysis showed that the values within the limits of agreement accounted for more than 93.31% of all point values. ICC analysis showed high agreement between F-STROKE, NeuBrainCARE, and RAPID software outputs of infarct core volume, time to maximum peak volume, and ischemic penumbra volume ( ICC>0.6). Conclusion:Domestic F-STROKE software, NeuBrainCARE software and RAPID software have good consistency in evaluating the infarct core volume, time-to-maximum volume and ischemic penumbra volume in patients with acute ischemic stroke, which is worthy of clinical promotion.

Objective:To investigate COVID-19 vaccination status and relevant adverse reactions in patients with psoriasis treated with biological agents, and to explore the effect of COVID-19 vaccination on psoriatic lesions.Methods:Clinical data were collected from 572 psoriasis patients aged 18 - 60 years, who were registered in the management system of psoriasis patients treated with biological agents in the University of Hong Kong-Shenzhen Hospital from May 2019 to June 2021. The COVID-19 vaccination status was investigated by telephone interviews, and the vaccination-related information was obtained by fixed healthcare workers during a fixed time period according to a predesigned questionnaire. Measurement data were compared between two groups by using t test, and enumeration data were compared by using chi-square test or Fisher′s exact test. Results:The COVID-19 vaccination coverage rate was 43.13% (226 cases) among the 524 patients who completed the telephone interview, and was significantly lower in the biological agent treatment group (30.79%, 105/341) than in the traditional drug treatment group (66.12%, 121/183; χ2 = 60.60, P < 0.001) . The main reason for not being vaccinated was patients′ fear of vaccine safety (49.66%, 148/298) , followed by doctors′ not recommending (26.51%, 79/298) . In the biological agent treatment group after vaccination, the exacerbation of psoriatic lesions was more common in patients receiving prolonged-interval treatment (42.86%, 6/14) compared with those receiving regular treatment (4.40%, 4/91; Fisher′s exact test, P < 0.001) . Skin lesions were severely aggravated in two patients after COVID-19 vaccination, who ever experienced allergic reactions and whose skin lesions did not completely subside after the treatment with biological agents. Conclusions:The COVID-19 vaccination coverage rate was relatively low in the psoriasis patients treated with biological agents, and no serious adverse reaction was observed after vaccination. Prolonged-interval treatment due to COVID-19 vaccination ran the risk of exacerbation of skin lesions.

In the study of embryo development process, the morphological features at different stages are essential to evaluate developmental competence of the embryo, which can be used to optimize and improve the system for
Blastocyst ; Embryo Culture Techniques ; Embryonic Development ; Fertilization in Vitro

Objective: To investigate the expression of BRCA-associated protein 1 (BAP1) in malignant mesothelioma, non-small cell lung cancer and carcinosarcoma, and its application in the differential diagnosis. Methods: Twenty-two cases of malignant mesothelioma including 17 epithelioid type, 2 sarcomatoid type and 3 biphasic type were collected.As the study control, 80 non-small cell lung cancers infringement pleural membrane(including 40 lung adenocarcinomas and 40 lung squamous cell carcinomas) and 15 carcinosarcomas were included. BAP1 expression was detected using immunohistochemical method. A differential diagnosis antibody panel, including calretinin, WT1, CK5/6, D2-40, CAM5.2, CEA, TTF1, Napsin A, p63 and p40 was tested in all cases. Results: All 80 cases of non-small cell lung cancer and 15 cases of carcinosarcoma were BAP1 positive. In contrast, 64% (14/22) of malignant mesotheliomas lost BAP1 expression (P<0.01). Addition of BAP1 to the mesothelioma marker panel, the diagnostic accuracy of malignant mesothelioma was enhanced to 93%. Focal expression of BAP1 in tumors suggested multiclonal evolution of mesothelioma. Conclusions Loss of BAP1 expression helps to confirm the diagnosis of malignant mesothelioma whereas all non-small cell lung cancer expresses BAP1. It is therefore recommended that BAP1 can be used in conjunction with other immunohistochemical markers to improve the diagnostic accuracy of malignant mesothelioma.