Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged clinical course and recurrent exacerbations. The coexistence of CHF with anxiety and depression falls under the category of psycho-cardiological diseases. Studies have demonstrated that anxiety and depression are closely associated with adverse outcomes including elevated risks of cardiovascular events and increased mortality in CHF patients. The complex pathogenesis poses challenges to modern medical treatments， which often face limited efficacy and concurrent side effects. According to the theory of Shaoyang Pivot in traditional Chinese medicine （TCM）， this paper elucidates that obstructed Shaoyang Pivot—manifested as Qi transformation disorder， dysregulated fluid metabolism， and abnormal distribution of ministerial fire-serves as a critical pathological basis for CHF with anxiety and depression. Bupleuri Radix-based Formulas， such as Xiao Chaihu Tang， Chaihu Guizhi Tang， and Chaihu Jia Longgu Muli Tang， aim to harmonize lesser Yang to restore the Qi transformation， activate Yang to promote water excretion， and redistribute ministerial fire， thus effectively alleviating pathological states such as Qi stagnation， blood stasis， water retention， and phlegm-fire disturbing the heart in CHF patients with anxiety and depression. Consequently， they mitigate symptoms of this psycho-cardiological disease. Mechanism studies have revealed that Bupleuri Radix-based formulas exhibit multi-target effects， including modulation of neurotransmitters， suppression of inflammatory responses， regulation of lipid metabolism， protection of cardiomyocytes， and improvement of the endothelial function. By interpreting the TCM pathogenesis of CHF with anxiety and depression from the theory of Shaoyang Pivot， this paper delves into the therapeutic principles and mechanisms of Bupleuri Radix-based formulas， providing a theoretical foundation for optimizing TCM diagnosis and treatment strategies for psycho-cardiological diseases.

The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases， the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity， the precise and effective treatment of different types of viral pneumonia （VP） has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease， warm disease， and epidemic in TCM. Haoqin Qingdantang （HQQDD） is a representative formula for clearing heat and dispelling dampness in warm diseases， and its intervention in VP caused by various viral infections has significant effects. This study， guided by the theory of treating different diseases with the same therapy， links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia （IVP）， severe acute respiratory syndrome （SARS）， and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors， the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication， reduce fever reactions， inhibit the expression of inflammatory mediators， and regulate immune balance. Moreover， the sovereign medicine in this formula has excellent antiviral activity， and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP， this paper mines the underlying TCM theory of treatment with the same therapy， explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP， and analyzes the treatment mechanism and characteristics， with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.

Pneumonia is an infectious disease with high morbidity and mortality worldwide， and its damage to the body is not limited to the acute phase. The theory of combination of pathogenic factors emphasizes that the combination of new pathogens and residual pathogens in the body leads to the occurrence of diseases， which generalizes the causes of recurrence during pneumonia recovery. During the recovery stage of pneumonia， pathological changes such as disturbance of immune homeostasis， persistent low-grade inflammation， and microvascular damage continue to affect the body function， impair the health and quality of life of patients， and increase the risk of secondary infection. According to the theory of traditional Chinese medicine （TCM）， pneumonia is caused by deficiency， and Qi deficiency and blood stasis is the core pathogenesis in the recovery stage. At this time， the body is not full of healthy qi and still has residual pathogens， and thus it is susceptible to external pathogenic factors that lead to disease recurrence. As an important part of the TCM philosophy of treating disease before its onset， prevention of recurrence after recovery emphasizes the need for aftercare in the recovery stage to prevent disease recurrence. Based on the pathogenesis theory of combination of pathogenic factors and the pathogenesis of Qi deficiency and blood stasis， this paper discusses the effect and connotation of TCM in regulating immune inflammation and microvascular damage in preventing recurrence of pneumonia during the recovery stage， aiming to develop new ideas for effective prevention and treatment of pneumonia at this stage.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

OBJECTIVE To systematically evaluate the risk factors for cefoperazone/sulbactam-induced coagulation dysfunction in adult patients. METHODS Retrieved from CNKI， VIP， CBM， Wanfang data， PubMed， Embase and Cochrane Library， randomized controlled trial （RCT）， case-control study or cohort study about cefoperazone/sulbactam-induced coagulation dysfunction in adult patients were collected from the inception to Apr. 30th， 2023. After literature screening， data extraction and quality evaluation， meta-analysis was carried out by using RevMan 5.3 software. RESULTS A total of 13 studies were included， among which 11 studies were case-control studies， and 2 studies were cohort studies， involving 18 387 patients in total. Meta- analysis showed that the proportion of advanced age [OR＝2.04， 95%CI （1.14， 3.64）， P＝0.02]， liver insufficiency [OR＝5.95， 95%CI （4.21， 8.40）， P＜0.000 01]， renal insufficiency [OR＝3.51， 95%CI （3.04， 4.05）， P＜0.001]， hypoproteinemia [OR＝ 1.90， 95%CI（1.37， 2.62）， P＜0.001]， poor diet [OR＝7.25， 95%CI （5.13， 10.24）， P＜0.000 01]， daily dose of cefoperazone/ sulbactam ≥9 g [OR＝3.95， 95%CI （2.45，6.37）， P＜0.001]， medication duration of cefoperazone/sulbactam ≥10 d [OR＝2.43， 95%CI （1.81， 3.28）， P＜0.001]， combined use of anticoagulant drugs [OR＝2.84， 95%CI （2.03， 3.97）， P＜0.001]， combined with malignant tumor [OR＝1.60， 95%CI （1.20， 2.15），P＜0.001] in patients with abnormal coagulation function were significantly higher than those with normal coagulation function. CONCLUSIONS Advanced age， liver insufficiency， renal insufficiency， complicated with malignant tumors and hypoalbuminemia， combined use of anticoagulant drugs， poor diet， daily dose ≥9 g， and medication duration≥10 days are risk factors for coagulation dysfunction caused by cefoperazone/sulbactam.

Aim To investigate the effects of 2-dode-cyl-6-methoxycyclohexa-2 , 5-diene-l, 4-dione ( DM-DD) on resisting hepatic fibrosis induced by carbon tetrachloride ( CC14 ) in rats and the underlying mechanisms , with a specific focus on the TGF-pi/Smads signaling pathway. Methods The hepatic fibrosis model was replicated using 50% CC14. Various parameters, including levels of aspartate transferase ( AST) , ala-nine transferase ( ALT ) , albumin/globulin ( A/G ) , total protein (TP) , total bilirubin (T-BIL) , hyaluron-ic acid ( HA ) , laminin ( LN ) , collagen type Ж ( Col Ж) , and collagen type IV(ColIV) in the blood, were measured. Liver tissue lesions and fiber formation were observed using HE and Masson staining. The expression levels of a smooth muscle actin (a-SMA) , collagen type I ( Col I ) , transformed growth factor (TGF-pi), Smad2, and Smad7 proteins were assessed using immunohistochemistry. a-SMA, Coll, TGF-pi, and Smad7 mRNA levels in liver tissue were measured by RT-PCR. Additionally, the expression levels of TGF-pi, Smad4, and Smad7 proteins in liver tissue were determined by Western blot. Results In comparison to the normal control group, the model group exhibited significantly elevated levels of AST, ALT, TP, T-BIL, HA, LN, Col Ш and Col IV in serum. But A/G level notably decreased. Successful modeling was confirmed by the presence of extensive fiber formations observed through HE and Massonstaining in liver tissue. The DMDD administration group demonstrated a notable decrease levels of AST, ALT, TP, T-BIL, HA, LN, Col III, and CollV, but A/G was significantly elevated when compared to the model group. Furthermore, a-SMA, Coll, TGF-f31, Smad2 and Smad4 mRNA and protein levels in the DMDD administration group were significantly reduced, while Smad7 significantly declined. HE and Masson staining results reflected a marked reduction in fibrous hyper-plasia. Conclusion DMDD exhibits a protective effect against CCl4-induced hepatic fibrosis, and its mechanism appears to be associated with the TGF-fJl/ Smads signaling pathway.