It is believed that the basic mechanism of cough associated with interstitial lung disease is collaterals deficiency with latent wind： the deficiency of the lung organs and lung collaterals is the basis of its pathogenesis， and latent wind in lung collaterals is the key mechanism of the cough which is difficult to cure. Treatment is based on the principle of supplementing deficiency and treating wind， dispelling the pathogens and unblocking the collaterals. Supplementing deficiency should supplement lungs， boost kidneys， and strengthen spleens to consolidate the root and banking up the origin， and regulate and tonify the lung collaterals； dispelling the pathogens should treat the internal and external winds at the same time， and taking into account the combined pathogens of phlegm， stasis and dampness to clear the stagnation of the lung collaterals.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Radiation-induced injury, a body dysfunction caused by irradiation, is associated with the dose, duration, and speed of radiation and is predominantly derived from radiation therapy for patients with malignant tumors. The current clinical treatment mainly includes amelioration of injury, alleviation of symptoms, and improvements in function restoration of the affected sites because of lack of targeted agents specific to radiation-induced injuries. Research and development of preventive and therapeutic agents against radiation-induced injuries are of great significance to reduce the body damages caused by radiotherapy and improve the quality of life of cancer survivors. This review summarizes the radiation-induced injury and its mechanisms, radioprotectants, and therapeutic agents for radiation, and proposes future development directions, so as to provide a reference for alleviation of radiation-induced injury and improvement in prognosis.

Objective To establish a mouse model of type Ⅰ tricho-hepato-enteric syndrome(THES)induced by Ttc37 deficiency.Methods Ttc37 flox strain was established by site-specifically inserted loxP sites into Ttc37 gene via CRISPR/CAS9 technology.Ubiquitously expressed CAG-Cre was introduced for all-tissue removal of Ttc37 in Ttc37flox/flox;CAG-Cre mice.The knock-out effect was confirmed by fluorescence quantitative PCR and Western blot.Phenotypic evaluations were conducted in 8-week-old mice including hematoxylin-eosin staining of skin,spleen,liver,bladder,and gastrointestinal tract(GI),serum enzyme activity assay of aspartate aminotransferase(AST)and alanine aminotransferase(ALT),measurement of serum hemoglobin level,and ELISA for IgG and IgM level upon antigen immunization.Results Similar to type Ⅰ THES patients,Ttc37flox/flox;CAG-Cre mice exhibited impaired development of hair shaft,epidermis,B cell and eyes,while liver,GI,bladder and serum hemoglobin level seemed normal under unstressed condition.Conclusion A novel mouse model of typeⅠ THES was constructed successfully,which was applicable for pathological study.

Objective To investigate the current status,evolving hotspots,and emerging trends in the field of human re-source allocation research in public hospitals,both domestically and internationally,to provide a reference for future research di-rections in China.Methods CiteSpace was used to conduct a visual analysis of the research literature on human resource alloca-tion in public hospitals based on China National Knowledge Infrastructure(CNKI)and the Web of Science(WOS).The analysis encompassed co-authorship,institutional collaboration,keyword co-occurrence and clustering,and burst detection.Results A total of 1 417 Chinese articles and 981 international articles were included.Domestic research in this field focused more on healthcare reform and management,resource allocation,hierarchical diagnosis,and treatment,and informatization and efficiency improvement.On the contrary,international research primarily centered on the employee satisfaction,healthcare system quality,work environment and medical staff.Future trends in domestic research included cost reduction,efficiency enhancement,and a greater emphasis on public welfare in public hospitals,while international research was beginning to explore the influence of polit-ical concepts in this field.Conclusion Compared to international research,domestic research needs to further improve its theo-retical and localized understanding,broaden its research scope,explore the interdisciplinary collaboration opportunities,and delve into research directions such as the application of artificial intelligence and automation technology in healthcare services,management of a diverse workforce,and innovative management techniques and applications.

BACKGROUND: There are few multi-city studies on the association between temperature and mortality in basin climates. This study was based on the Sichuan Basin in southwest China to assess the association of basin temperature with non-accidental mortality in the population and with the temperature-related mortality burden. METHODS: Daily mortality data, meteorological and air pollution data were collected for four cities in the Sichuan Basin of southwest China. We used a two-stage time-series analysis to quantify the association between temperature and non-accidental mortality in each city, and a multivariate meta-analysis was performed to obtain the overall cumulative risk. The attributable fractions (AFs) were calculated to access the mortality burden attributable to non-optimal temperature. Additionally, we performed a stratified analyses by gender, age group, education level, and marital status. RESULTS: A total of 751,930 non-accidental deaths were collected in our study. Overall, 10.16% of non-accidental deaths could be attributed to non-optimal temperatures. A majority of temperature-related non-accidental deaths were caused by low temperature, accounting for 9.10% (95% eCI: 5.50%, 12.19%), and heat effects accounted for only 1.06% (95% eCI: 0.76%, 1.33%). The mortality burden attributable to non-optimal temperatures was higher among those under 65 years old, females, those with a low education level, and those with an alternative marriage status. CONCLUSIONS Our study suggested that a significant association between non-optimal temperature and non-accidental mortality. Those under 65 years old, females, and those with a low educational level or alternative marriage status had the highest attributable burden.
Female ; Humans ; China/epidemiology* ; Cities ; Cold Temperature ; Hot Temperature ; Mortality ; Temperature ; Time Factors ; Middle Aged ; Male

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

ObjectiveTo investigate the impact of yang deficiency syndrome on the progression to end-point events of diabetic kidney disease （DKD）. MethodsA retrospective study among patients with stage Ⅳ DKD admitted to Dongzhimen Hospital of Beijing University of Chinese Medicine from September 1st， 2016 to September 30th， 2021 was conducted. Data on the patients' general information， clinical indicators including duration of diabetes， duration of proteinuria， history of smoking and drinking， hemoglobin （HGB）， fasting blood glucose （FBG）， albumin （ALB）， serum creatinine （Scr）， urea nitrogen （BUN）， uric acid （UA）， cholesterol （TC） ， triglycerides （TG）， low-density lipoprotein （LDL）， 24-hour urine protein quantification （24h-UTP） and estimated glomerular filtration rate （eGFR）， and TCM syndromes including symptoms， tongue and pulse， and syndrome scores were collected. The patients were divided into exposure group （yang-deficiency group） and non-exposure group （non-yang-deficiency group）. The general information， clinical indicators and incidence rates of end-point events were compared， and the impact of yang deficiency syndrome on the end-point events of stage Ⅳ DKD was analyzed. Survival analysis was performed using Kaplan-Meier method， and multivariate Cox proportional risk models were used to identify independent predictors of end-point events. ResultsA total of 160 patients with stage Ⅳ DKD were included in the study， including 43 cases of yang deficiency syndrome and 117 cases of non-yang deficiency syndrome. Compared to those in the non-yang deficiency group， the waist circumference， BUN and the incidence of end-point events in the yang deficiency group were significantly higher （P＜0.05 or P＜0.01）. Spearman correlation analysis showed that yang deficiency syndrome was positively correlated with incidence of end-point events of stage Ⅳ DKD （r = 0.167， P = 0.035）. Furthermore， 24h-UTP and BUN levels were also positively correlated with end-point events in stage Ⅳ DKD patients （P＜0.01）， while ALB and HGB levels were negatively correlated （P＜0.01）. Kaplan-Meier survival curves showed that yang deficiency syndrome was associated with an increased risk of end-point events （Log Rank P = 0.011）. Moreover， 24h-UTP levels ≥3500 mg， BUN level ≥8 mmol/L， ALB level ＜30 g and HGB level ＜11 g were all associated with the increase of the risk of end-point events （P＜0.05 or P＜0.01）. Multivariate Cox regression analysis showed that yang deficiency syndrome was an independent risk factor for patients with stage Ⅳ DKD to progress into end-point events （HR = 2.36， 1.32 to 4.21； P = 0.004）， as well as 24h-UTP ≥ 3500 mg， BUN ≥ 8 mmol/L， HGB＜11 g and ALB＜30 g （P＜0.05 or P＜0.01）. ConclusionsFor stage Ⅳ DKD， patients with yang deficiency syndrome are more likely to have end-point events， which is an independent risk factor for the progression into end-point events.

Objective　To investigate the contamination status of Bacillus cereus in food, the profile of virulence factors carried, and drug sensitivity characteristics in Liaoning Province. Methods　A total of 620 samples were isolated from 15 monitoring sites, covering four major sample types of food products in Liaoning Province between 2021 and 2022. Bacillus cereus was isolated and identified by GB4789.14—2014, and its virulence was assessed using PCR detection of the groEL and gyrB genes specific to the bacterial group, as well as 11 other virulence genes. Broth microdilution method was used to detect the antibiotic sensitivity of the strain. Results　All 79 Bacillus cereus strains were found to carry virulence genes. The detection rates of non-hemolytic enterotoxin genes nheC, nheA, and nheB were 100% (79/79), 93.3% (74/79), and 83.5% (66/79), respectively. The detection rate of enterotoxin entFM gene was 98.7% (78/79). The 79 strains of Bacillus cereus carried 19 types of virulence gene patterns, with IX and XVII gene patterns being the most prevalent, each accounted for 16.5% (13/79). The resistance rates of 79 strains of Bacillus cereus to 10 antibacterial drugs were 100% for both ampicillin and penicillin. The resistance rates to cotrimoxazole, imipenem, erythromycin, clindamycin, ciprofloxacin, and tetracycline 65.8% (52/79), 10.1% (8/79), 73.4% (58/79), 60.8% (48/79), 75.9% (60/79), and 70.9% (56/79) respectively. The resistance rates to chloramphenicol and gentamicin were both 0%. Conclusion　Food from catering services in Liaoning Province shows contamination by Bacillus cereus, with isolated strains carrying at least four kinds of virulence genes. About 100% of the isolates were resistant to ampicillin and penicillin, whereas high sensitivity was observed to chloramphenicol and gentamicin. Active monitoring, timely targeted prevention and control interventions should be strengthened to provide a theoretical basis for future traceability studies.

Objective:To explore the efficacy of immune checkpoint inhibitors combined with adjuvant chemotherapy in patients with phase III gastric cancer and esophagogastric junction cancer.Methods:This study used a retrospective cohort study method based on real-world data. Clinical data of 403 patients with stage III gastric/esophagogastric junction cancer who underwent gastrectomy followed by adjuvant therapy in the Department of Gastric Surgery at Sun Yat-sen University Cancer Center from January 2020 to December 2023 were retrospectively collected. The study cohort comprised 147 (36.5%) patients with stage IIIA, 130 (32.3%) with stage IIIB, and 126 (31.3%) with stage IIIC gastric/esophagogastric junction cancer. Of them, 15 (3.7%) were HER-2 positive, 25 (6.2%) dMMR, and 22 (5.5%) patients Epstein-Barr virus encoding RNA (EBER) positive. Based on treatment plans, the patients were divided into immune checkpoint inhibitor combined with chemotherapy group (immune therapy group, n=110, 71 males and 39 females, median age 59 years old) and chemotherapy alone group (chemotherapy group, n=293, 186 males and 107 females, median age 60 years old). All patients in the immunotherapy group received immune checkpoint inhibitors targeting the programmed cell death protein-1 (PD-1) and its ligand (PD-L1). Of them, 85 received pembrolizumab, 10 received sintilimab, 8 received tislelizumab, 4 received camrelizumab, 2 received toripalimab, and 1 received pabocizumab. The adjuvant chemotherapy regimens used among the chemotherapy alone group includes SOX regimen (132 cases), XELOX (102 cases), S-1 monotherapy (44 cases), and other regimens (15 cases). The 3-year DFS rate of the two groups was compared, and subgroup analysis was conducted based on different ages, molecular phenotypes, pTNM staging, extranodal infiltration, and tumor length. Results:The median follow-up was 20.5 months (range 3.1~46.3), with a 3-year overall DFS rate of 61.4% for the entire 403 patients. The 3-year DFS rate for the immunotherapy group was 82.7%, higher than the chemotherapy alone group (58.8%), with a statistically significant difference ( P=0.021). Multivariate analysis showed that postoperative immunotherapy was a protective factor for DFS (HR=0.352, 95%CI: 0.180~0.685). Subgroup analysis showed that stage IIIC (HR=0.416, 95%CI: 0.184~0.940), aged ≥60 years (HR=0.336, 95%CI: 0.121~0.934) and extranodal invasion (HR=0.378, 95%CI: 0.170~0.839) were associated with benefit from the combined immune adjuvant chemotherapy, while no association was observed for MMR, HER-2 or EBER status. Conclusion:Stage III gastric/esophagogastric junction cancer patients may benefite from postoperative immune checkpoint inhibitor combined with adjuvant chemotherapy in real-world settings.