[Calamine in the ophthalmic external treatment prescription in ancient times].

Calamine and its related medicines came into China as articles of tribute from other countries in ancient times. It was not recorded in the books of Chinese materia medica before the Song Dynasty but was widely used in ophthalmology, dermatology and traumatology and was, recorded specifically in the Ming and Qing Dynasty. This paper systematically examines the evolution of calamine herb in the archives of traditional Chinese medicine in terms of ophthalmic eternal treatment prescriptions. It was found that a total of 320 ophthalmic treatment formulas or prescriptions involved calamine, mainly finding its expression in 67 books on herbal medicines, formula and prescriptions, clinical syndrome comprehension and ophthalmic monographs. It was also found that calamine, as an important ophthalmic external medicine, had a wide range of clinical applications, covering internal and external obstructive eye diseases. Its flexibility, diverse compatibility and use in various processing are of great value and significance for in-depth exploration of its current application, its further use in ophthalmic treatment formulas or prescriptions and the redevelopment of classic formulas and prescriptions as well.

[Progress in application of machine learning in epidemiology].

Population based health data collection and analysis are important in epidemiological research. In recent years, with the rapid development of big data, Internet and cloud computing, artificial intelligence has gradually attracted attention of epidemiological researchers. More and more researchers are trying to use artificial intelligence algorithms for genome sequencing and medical image data mining, and for disease diagnosis, risk prediction and others. In recent years, machine learning, a branch of artificial intelligence, has been widely used in epidemiological research. This paper summarizes the key fields and progress in the application of machine learning in epidemiology, reviews the development history of machine learning, analyzes the classic cases and current challenges in its application in epidemiological research, and introduces the current application scenarios and future development trends of machine learning and artificial intelligence algorithms for the better exploration of the epidemiological research value of massive medical health data in China.

[Correlation analysis of polyclonal plasma cell proportion in the bone marrow with clinical characteristics of patients with newly diagnosed multiple myeloma].

Objective: To explore the correlation of bone marrow polychonal plasma cell proportion (pPC% ) and clinical features in newly diagnosed multiple myeloma (NDMM) patients. Methods: A retrospective analysis of 317 patients with NDMM admitted to Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from January 2018 to January 2023 was performed. The results of the pPC% in all patients were clear. The relationship between the pPC% and clinical characteristics was analyzed. Results: A total of 317 patients were included, comprising 180 males and 137 females. The median age at diagnosis was 61 (26-91) years, and 55.8% were 60 years or older. The pPC% in the bone marrow of patients with NDMM was different in the DS, International Staging System (ISS), and revised ISS (R-ISS) stages (P=0.002, 0.010, and 0.049, respectively), whereas no statistical difference in pPC% was observed among patients with different FISH risk stratigrams (P=0.971). The correlation coefficient between pPC% and hemoglobin (HGB) at the first diagnosis in patients was 0.211 (P<0.01). The correlation coefficients with serum calcium, serum creatinine, M protein level, and ß(2)-microglobulin were -0.141, -0.120, -0.181, and -0.207, respectively, and the results of the significance test were P=0.012, 0.033, 0.004, and 0.002, respectively, indicating a negative correlation. Compared with the patients with a pPC% of ≥2.5%, the group of patients with a pPC% of <2.5% had significantly higher levels of light chain, serum calcium, serum creatinine, M protein, and ß(2)-microglobulin at the initial diagnosis (P<0.05) ; lower HGB level (P<0.001) ; and a higher proportion of patients in ISS stage Ⅲ (P=0.034) . Conclusion: In this study, the pPC% in patients with NDMM was associated with clinical features of good prognosis, including higher HGB, lower serum calcium, serum creatinine, M protein quantity, ß(2)-microglobulin, light chain involvement, lower proportion of advanced disease (DS stage and ISS stage Ⅲ), and clinical features showing lower tumor burden.

Recommendations for eligibility criteria concerning bariatric and metabolic surgical and endoscopic procedures for obese Hong Kong adults 2024: Hong Kong Society for Metabolic and Bariatric Surgery Position Statement.

The surgical management of obesity in Hong Kong has rapidly evolved over the past 20 years. Despite increasing public awareness and demand concerning bariatric and metabolic surgery, service models generally are not standardised across bariatric practitioners. Therefore, a working group was commissioned by the Hong Kong Society for Metabolic and Bariatric Surgery to review relevant literature and provide recommendations concerning eligibility criteria for bariatric and metabolic interventions within the local population in Hong Kong. The current position statement aims to provide updated guidance regarding the indications and contraindications for bariatric surgery, metabolic surgery, and bariatric endoscopic procedures.

[Development and validation of predictive models for esophageal squamous cell carcinoma and its precancerous lesions using terminal motif analysis in circulating cell-free DNA].

Objectives: To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions. Methods: Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set (n=284) and a validation set (n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training (n=243), validation (n=105), and test (n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results: We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression (P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions: Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.

[Clinical diagnostic practices for Chinese developmental dyslexia].

Objective: To explore the optimization of the standardized assessment tool for clinical diagnosis of Chinese developmental dyslexia (DD). Methods: A cross-sectional study was conducted from May to December 2023, in which 130 primary school children in grades 1 to 3 with clinical signs of literacy lag and positive screening results on the screening scales were recruited from the outpatient clinic of Child Health Care Medical Division, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine. Chinese dyslexia screening behavior checklist for primary students (CDSBC) was used as the screening scales, and supplemented by dyslexia checklist for Chinese children. Referring to the standard procedure of the"expert advice on diagnosis and intervention of Chinese developmental dyslexia", the developmental dyslexia scale for standard mandarin (DDSSM) was used to evaluate the children's literacy-related cognitive abilities and conduct the diagnostic assessment, and divided the children into learning backward group and the DD group. The t-test and χ2 test were used to compare the differences in the distribution of intelligence, literacy and attention deficit hyperactivity disorder between the two groups. Spearman's correlation was used to analyze the correlation between the scores for each cognitive ability in the DDSSM and the CDSBC. Results: Of the 130 children, 90 were male, aged (8.3±1.0) years; 40 were female, aged (8.1±0.9) years. A final diagnosis of DD was made in 59 cases, of which 41 were males. There was no statistically significant difference in operational intelligence quotient (101±15 vs.100±15, t=0.53, P>0.05) and statistically significant difference in literacy of DDSSM (32±5 vs.21±4, t=11.56, P<0.001) between the learning backward group and the DD group. Eighteen cases (25.4%) of the learning backward group were children with attention deficit subtype attention deficit hyperactivity disorder (ADHD-I), and 16 cases (27.1%) in DD group, the difference in incidence between the two groups was not statistically significant (χ2=0.05, P>0.05). There were correlations between the DDSSM (for oral vocabulary, morphological awareness and orthographic awareness) and the CDSBC total score (r=-0.42, -0.32, -0.35, all P<0.01), but the correlations for visuospatial perception and rapid automatized naming with CDSBC total score were not statistically significant (r=-0.09 and -0.20,both P>0.05). Conclusion: For literacy-related cognitive abilities, screening scales CDSBC are not sufficiently useful for assessment, so the introduction of standardized assessment tools DDSSM is an optimization of the clinical diagnosis of Chinese DD, which is crucial for achieving accurate diagnosis and intervention.

[The efficacy and safety of immunotherapy combined with chemotherapy neoadjuvant in locally advanced resectable hypopharyngeal squamous cell carcinoma].

Objective: To explore the efficacy and safety of immunoneoadjuvant therapy with pembrolizumab combined with chemotherapy in locally advanced resectable hypopharyngeal squamous cell carcinoma patients. Methods: This study was a prospective, single arm, single center clinical study that was opened for enrollment in April 2021. Patients who met the inclusion criteria at the Cancer Hospital of the Chinese Academy of Medical Sciences were treated with neoadjuvant therapy of pembrolizumab combined with cisplatin and paclitaxel, and after treatments, received surgery and postoperative adjuvant therapy. The main endpoint of this study was postoperative pathological complete response (pCR), and other observations included adverse reactions and long-term prognoses of patients after neoadjuvant therapy. Results: By September 2023, a total of 23 patients who underwent neoadjuvant therapy and surgery were enrolled in the study and all patients were males aged 49-74 years. All patients were locally advanced stage, including 3 patients in stage Ⅲ and 20 patients in stage Ⅳ. There were 12 cases of primary lesions with posterior ring involvement accompanied by fixation of one vocal cord and 20 cases of regional lymph node metastases classified as N2. Eighteen cases received a two cycle regimen and 5 cases received a three cycle regimen for neoadjuvant therapy. The postoperative pCR rate was 26.1% (6/23), with no surgical delay caused by adverse drug reactions. The laryngeal preservation rate was 87.0% (20/23). Pharyngeal fistula was the main surgical complication, with an incidence of 21.7% (5/23). The median follow-up time was 15 months, and 3 patients experienced local recurrence. Conclusions: The immunoneoadjuvant therapy of pembrolizumab combined with chemotherapy has a high pCR rate in locally advanced resectable hypopharyngeal squamous cell carcinoma, with increased laryngeal preservation rate and no significant impact on surgical safety.

[Overview of the ten global conferences on health promotion and implications for future work].

Since 1986, the WHO has held ten global health promotion conferences covering various health promotion issues and sustainable development worldwide. These sessions have formed a series of consensus and actions that guide promoting health globally. This study analyzed the declarations, reports, and news materials from the ten conferences that studied health promotion action areas, focal topics, actor networks, partnership relationships, and other significant outcomes. It also explored how these conferences contributed to the construction and advancement of global health promotion consensus and actions. The first Global Conference on Health Promotion identified the concept of health promotion and five key action areas, laying the foundation for subsequent conferences and health promotion actions. Over the years, the ten conferences continuously expanded the essence of health promotion, developed partnership relationships, formulated public health promotion policies, and called for health promotion actions. This process culminated in the formation of global consensus and collective actions. The latter conferences have gained significant attention and influence. The conferences offer valuable insights for future global health promotion endeavors and provide global perspectives and pathways for the development of Healthy China.

[Analysis of risk factors of short-term prognosis in patients with severe Budd-Chiari syndrome].

Objective: To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value. Methods: This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group (n=38) and the survival group (n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model's differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results: Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors (P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions: The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.

TFP5, a Peptide Derived from Cdk5 Activator p35, Protects Pancreatic ß Cells from Glucose Toxicity.

We studied the effect of TFP5 on MIN6 cells (cultured mouse islet ß cells) treated with different concentrations of glucose (5 or 25 mM). The results were verified in C57BL/6J mice (control; n=12) and db/db mice with type 2 diabetes mellitus (n=12). To synthesize TFP5, peptide p5 (a derivative of p35 protein, activator of cyclin-dependent kinase 5, Cdk5) was conjugated with a FITC tag at the N-terminus and an 11-amino acid TAT protein transduction domain at the C-terminus. TFP5 was employed to inhibit Cdk5 activity and then to evaluate its efficiency in treating experimental type 2 diabetes mellitus. TFP5 effectively inhibited the pathological hyperactivity of Cdk5, enhanced insulin secretion, and protected pancreatic ß cells from apoptosis in vitro and in vivo. In addition, TFP5 inhibited inflammation in pancreatic islets by reducing the expression of inflammatory cytokines TGF-ß1, TNFα, and IL-1ß. These novel data indicates that TFP5 is a promising candidate for treatment of type 2 diabetes mellitus.

[Predictor of clinical response to subcutaneous immunotherapy with dust mites in polysensitized allergic rhinitis patients].

Objective: To evaluate the efficacy of 1-year subcutaneous immunotherapy (SCIT) with dust mites in polysensitized allergic rhinitis (AR) patients and to analyze the serological markers associated with clinical response. Methods: A retrospective analysis of data from 69 polysensitized AR patients who completed 1-year SCIT with dust mites from Oct 2020 to Mar 2022 in Shandong Provincial ENT Hospital was conducted. The median patient age was 21 years, including 41 males and 28 females. The changes in symptoms and serum IgE, IgG4 assessed before and after treatment were evaluated. The differences in serological markers between effective and ineffective groups were analyzed. Multivariate regression analysis was used to investigate the predictors of clinical response. SPSS 22.0 software was used for data processing. Results: After immunotherapy, there was a significant reduction in symptom scores and a substantial improvement in the quality of life of polysensitized AR patients (all P<0.001). Dust mite specific IgG4 (sIgG4) significantly increased and dust mite specific IgE (sIgE)/sIgG4 significantly decreased (all P<0.05). sIgE, total IgE (tIgE), sIgE/tIgE and sIgE/sIgG4 were significantly lower in ineffective group than those in effective group (all P<0.05). The clinical response of SCIT related only to dust mite sIgE (r=0.29, P=0.036), and sIgE≥53.86 kU/L had the best sensitivity (77.78%) and specificity (57.89%) to predict effective SCIT in polysensitized AR patients. Conclusions: One-year dust mite SCIT is effective for polysensitized AR patients. Pre-treatment serum dust mite sIgE≥53.86 kU/L may play a role in predicting clinical response of dust mite SCIT in polysensitized AR patients.

[Screening and validation of pivotal genes in hepatitis B virus-associated hepatocellular carcinoma].

Objective: To screen the pivotal genes involved in the occurrence and development of HBV-associated HCC. Additionally, perform validation and biological function analysis to evaluate changes in the expression of pivotal genes and their prognostic value in patients with hepatocellular carcinoma. Methods: The GSE121248 gene expression profile data of HBV-HCC patients were searched and downloaded from the GEO database. The R language was used to compare the differences in gene expression between hepatocellular carcinoma and paracancerous tissues. KEGG and GO function enrichment analyses were performed on the differential genes. PPI plots and pivotal gene screening were carried out through online tools like STRING and Cytoscape software. 369 cases of hepatocellular carcinoma and 160 healthy controls in TCGA and GTEx were used as validation cohorts to verify the expression levels of the pivotal genes. A Kaplan-Meier plot was drawn to evaluate the prognostic value of the pivotal gene. Results: A total of 120 differentially expressed genes were screened, of which 89 were up-regulated and 31 were down-regulated. Differential genes were mainly enriched in the metabolic pathways related to retinol metabolism, cytochrome P450 metabolism, and the p53 signaling pathway. The top 10 differential genes were selected as pivotal genes by the Cytoscape plug-in cytoHubba. There were significant differences in the expression levels of four types of CCNB1, CDK1, RRM2, and TOP2A genes in the validation cohort. All four types of genes were up-regulated. Survival analysis showed that patients with elevated expression levels of four genes had a poorer prognosis, with statistical differences in results. Conclusion: Four types of genes, CCNB1, CDK1, RRM2, and TOP2A, have high expression levels in patients with HBV-HCC and are correlated to shorter survival times, making them a potential target for diagnosis, prognosis, and treatment.

[A case report of ocular monkeypox].

A 35-year-old male patient arrived at the clinic, reporting a persistent issue of his right eye being difficult to open for the past three weeks. Alongside this, he had been experiencing a gradual development of lesions around the eye. Notably, about a month prior to the onset of these symptoms, the patient had engaged in unprotected intercourse with a male partner. The initial manifestation was a papule near the eye, which then rapidly progressed. Laboratory analysis of samples taken from the lesions confirmed the presence of monkeypox through polymerase chain reaction testing. Furthermore, this patient received positive diagnoses for both HIV and syphilis infections. Notably, his absolute CD4 count was measured at an extremely low level of 2 cells/µl.(This article was published ahead of print on the official website of Chinese Journal of Ophthalmology on September 18, 2023).

[Development and validation of prognostic nomogram for malignant pleural mesothelioma].

Objective: To development the prognostic nomogram for malignant pleural mesothelioma (MPM). Methods: Two hundred and ten patients pathologically confirmed as MPM were enrolled in this retrospective study from 2007 to 2020 in the People's Hospital of Chuxiong Yi Autonomous Prefecture, the First and Third Affiliated Hospital of Kunming Medical University, and divided into training (n=112) and test (n=98) sets according to the admission time. The observation factors included demography, symptoms, history, clinical score and stage, blood cell and biochemistry, tumor markers, pathology and treatment. The Cox proportional risk model was used to analyze the prognostic factors of 112 patients in the training set. According to the results of multivariate Cox regression analysis, the prognostic prediction nomogram was established. C-Index and calibration curve were used to evaluate the model's discrimination and consistency in raining and test sets, respectively. Patients were stratified according to the median risk score of nomogram in the training set. Log rank test was performed to compare the survival differences between the high and low risk groups in the two sets. Results: The median overall survival (OS) of 210 MPM patients was 384 days (IQR=472 days), and the 6-month, 1-year, 2-year, and 3-year survival rates were 75.7%, 52.6%, 19.7%, and 13.0%, respectively. Cox multivariate regression analysis showed that residence (HR=2.127, 95% CI: 1.154-3.920), serum albumin (HR=1.583, 95% CI: 1.017-2.464), clinical stage (stage Ⅳ: HR=3.073, 95% CI: 1.366-6.910) and the chemotherapy (HR=0.476, 95% CI: 0.292-0.777) were independent prognostic factors for MPM patients. The C-index of the nomogram established based on the results of Cox multivariate regression analysis in the training and test sets were 0.662 and 0.613, respectively. Calibration curves for both the training and test sets showed moderate consistency between the predicted and actual survival probabilities of MPM patients at 6 months, 1 year, and 2 years. The low-risk group had better outcomes than the high-risk group in both training (P=0.001) and test (P=0.003) sets. Conclusion: The survival prediction nomogram established based on routine clinical indicators of MPM patients provides a reliable tool for prognostic prediction and risk stratification.

[Comparative study of medical common data models for FAIR data sharing].

The common data model (CDM) is an important tool to facilitate the standardized integration of multi-source heterogeneous healthcare big data, enhance the consistency of data semantic understanding, and promote multi-party collaborative analysis. The data collections standardized by CDM can provide powerful support for observational studies, such as large-scale population cohort study. This paper provides an in-depth comparative analysis of the data storage structure, term mapping pattern, and auxiliary tools development of the three international typical CDMs, then analyzes the advantages and limitations of each CDM and summarizes the challenges and opportunities faced in the CDM application in China. It is expected that exploring the advanced technical concepts and practical patterns of foreign countries in data management and sharing will provide references for promoting FAIR (findable, accessible, interoperable, reusable) construction of healthcare big data in China and solving the current practical problems, such as the poor quality of data resources, the low degree of semantization, and the inabilities of data sharing and reuse.