Efficacy of formic acid in combination with cDMARDs in rheumatoid arthritis.

OBJECTIVE: The immune system of the body mistakenly targets its own joints in rheumatoid arthritis (RA), a chronic autoimmune disease that causes pain, inflammation, and damage. The complexity of RA often requires the simultaneous use of several different management strategies. This study examines the potential enhancement of conventional RA treatments, specifically conventional Disease-Modifying Anti-Rheumatic Drugs (cDMARDs), by the addition of formic acid, a naturally occurring substance that may possess anti-inflammatory properties. PATIENTS AND METHODS: A total of 90 children diagnosed with rheumatoid arthritis were examined at our hospital from 2020 to 2022. We segregated them into two cohorts, each consisting of 45 children. One cohort was administered conventional rheumatoid arthritis (RA) treatments, referred to as cDMARDs, which specifically included methotrexate and leflunomide. The other group was administered the standard treatments in addition to a low dosage of a specialized medication known as all-trans retinoic acid. We conducted follow-up assessments on the children at 6 months and 1-year post-treatment. We sought to evaluate the efficacy of the treatments by assessing the subjective reports of the children and their physicians, analyzing the outcomes of medical examinations, and examining diagnostic images, such as X-rays. Furthermore, we took measures to ensure the safety of the treatments. RESULTS: Among the cohort exclusively administered cDMARDs, approximately 26.7% exhibited significant improvement, 24.4% demonstrated moderate improvement, and 6.7% displayed minor improvement after a duration of 6 months. Approximately 57.8% of the children in this group experienced positive outcomes as a result of the treatment. The group that received retinoic acid also demonstrated superior outcomes. Approximately one-third (33.3%) of the participants demonstrated significant improvement, while another one-third showed moderate improvement. Additionally, 11.1% of the participants displayed minor improvement after a period of six months. Upon comparing the two groups, it was observed that the group receiving retinoic acid demonstrated a significantly superior outcome (p<0.05). CONCLUSIONS: Overall, the incorporation of all-trans retinoic acid alongside conventional treatments for children with RA appears to enhance their efficacy.

Considering best practice standards for routine whole-genome sequencing for TB care and control.

TB is a priority pathogen for the application of whole-genome sequencing (WGS) into routine public health practice. In low-incidence settings, a growing number of services have begun to incorporate routine WGS into standard practice. The increasing availability of real-time genomic information supports a variety of aspects of the public health response, including the detection of drug resistance, monitoring of laboratory and clinical practices, contact tracing investigations and active case finding. Optimal structures and approaches are needed to support the rapid translation of genomic information into practice and to evaluate outcomes and impact. In this consensus paper, we outline the elements needed to systemically incorporate routine WGS into the TB public health response, including the sustainability of services, multidisciplinary team models and monitoring and evaluation frameworks. If integrated in an efficient and thoughtful manner, routine WGS has the potential to significantly improve clinical TB care for individuals and the overall public health response.

La TB est un agent pathogène prioritaire pour l'application du séquençage du génome entier (WGS, pour l'anglais « whole-genome sequencing ¼) dans les pratiques courantes de santé publique. Dans des contextes à faible incidence, un nombre croissant de services ont commencé à intégrer le WGS de manière routinière dans la pratique standard. La disponibilité croissante de l'information génomique en temps réel soutient divers aspects de l'intervention de santé publique, notamment la détection de la résistance aux médicaments, la surveillance des pratiques de laboratoire et cliniques, les enquêtes de recherche des contacts et la recherche active des cas. Des structures et des approches optimales sont nécessaires pour soutenir l'application rapide de l'information génomique dans la pratique et pour évaluer les résultats et l'impact. Dans ce document de consensus, nous décrivons les éléments nécessaires à l'intégration systématique du WGS dans la riposte de santé publique à la TB, notamment la durabilité des services, les modèles d'équipe multidisciplinaire et les cadres de suivi et d'évaluation. S'il est intégré de manière efficace et réfléchie, le WGS de routine a le potentiel d'améliorer considérablement les soins cliniques de la TB pour les individus et la réponse globale de la santé publique.

[Effect of air pollution, genetic susceptibility on the risk of all-cause mortality and cardiovascular outcomes among atrial fibrillation patients].

Objective: To analyze the association between air pollution, genetic susceptibility, and the risk of all-cause mortality and cardiovascular outcomes in patients with atrial fibrillation (AF). Methods: AF patients aged between 40-69 years old registered in the United Kingdom Biobank from 2006 to 2010 were included. After excluding those lost to follow-up or with incomplete data during follow-up, 5 814 subjects were analyzed. Long-term exposure to air pollution was estimated at the geocoded residential address of each participant. Genetic risk scores for all-cause mortality, cardiovascular disease, heart failure, myocardial infarction, and stroke were constructed separately for each object to assess the corresponding genetic susceptibility. The Cox proportional hazards model was used to analyze the association between air pollution, genetic susceptibility, and the risk of all-cause mortality and cardiovascular outcomes in AF patients. Results: During a median follow-up of 12.4 years, there were 929 of all-cause mortality (15.98%) and 1 772 of cardiovascular events (30.48%). Multivariable-adjusted analyses revealed that higher exposure to PM2.5, PM10, NOx, and NO2 was associated with an increased risk of cardiovascular disease mortality, heart failure, myocardial infarction, and stroke, with hazard ratios (HRs) ranging from 1.26 to 1.48. Specifically, for each interquartile range (IQR) increase in PM2.5 exposure, the HRs for the outcomes mentioned above were 1.33 (95%CI: 1.14-1.54), 1.42 (95%CI: 1.31-1.54), 1.46 (95%CI: 1.30-1.64), and 1.43 (95%CI: 1.27-1.61), respectively. Both NOx and NO2 exposures were associated with a 9% increased risk of all-cause mortality per IQR increment, with corresponding HRs of 1.09 (95%CI: 1.02-1.17) and 1.09 (95%CI: 1.01-1.17), respectively. Individuals with high genetic susceptibility to AF had a higher risk of myocardial infarction and stroke compared to those with low genetic susceptibility, with corresponding HRs of 1.39 (95%CI: 1.04-1.87) and 1.46 (95%CI: 1.09-1.95), respectively. Compared to AF patients with low air pollution exposure, those with high air pollution exposure have adjusted population attributable fractions of up to 33.57% (95%CI: 17.87%-46.26%) for cardiovascular mortality, 28.61% (95%CI: 20.67%-35.75%) for heart failure, 33.35% (95%CI: 20.97%-43.79%) for myocardial infarction, and 42.29% (95%CI: 30.05%-52.71%) for stroke. Furthermore, there was an additive interaction between PM2.5, NOx, and NO2 exposure and high genetic susceptibility on the incidence of myocardial infarction. An additive interaction was also observed between NOx, NO2 exposure, and high genetic susceptibility on the incidence of heart failure (all P<0.05). Conclusions: Both air pollution and genetic susceptibility increase the risk of all-cause mortality and cardiovascular outcomes in AF patients.

[Development of a prediction model for the incidence of type 2 diabetic kidney disease and its application based on a regional health data platform].

Objective: To construct a risk prediction model for diabetes kidney disease (DKD). Methods: Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation. Results: The study included 49 706 subjects, with an median (Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions: This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Embracing technological revolution: A panorama of machine learning in dentistry.

BACKGROUND: The overarching aim of this study is to furnish dental experts and researchers with a comprehensive understanding of the role of machine learning in dentistry. This entails a nuanced understanding of prevailing technologies, discerning emerging trends, and providing strategic guidance for future research endeavors and practical implementations. MATERIAL AND METHODS: We assessed the literature by looking for papers related to the issue after 2019 in the Pubmed, Web of Science, and Google Scholar databases. A narrative review of 29 papers satisfying the search criteria was undertaken, with an emphasis on the application of machine learning in dentistry. RESULTS: A review was conducted, including 29 publications. The advent of emerging technologies holds promise for enhancing the accuracy and efficiency of dental diagnosis, treatment, and prognosis. Nevertheless, the intricate nature of oral disease diagnosis and outcome prediction mandates acknowledgment of variables such as individual idiosyncrasies, lifestyle, genetics, image quality, and tooth morphology. These factors may impact the precision of machine learning models. Dental professionals should not rely solely on AI-based results but rather use them as references. Integrating these findings with clinical examinations, assessing the patient's overall health, and oral condition is crucial for informed decision-making. CONCLUSIONS: This review explores the clinical applications of machine learning in dentistry, encompassing disciplines like cariology, endodontics, periodontology, oral medicine, oral and maxillofacial surgery, prosthodontics and orthodontics. It serves as a valuable resource for dental practitioners and scholars in understanding the computer algorithms employed in each study, facilitating the clinical translation of machine learning research outcomes.

Region of interest localization, tissue storage time, and antibody binding density-a technical note on the GeoMx® Digital Spatial Profiler.

Background: Spatial biology is an emerging concept to interrogate tumor heterogeneity. The NanoString GeoMx® Digital Spatial Profiling (DSP) platform has become increasingly available. It combines high-plex analysis of protein or messenger RNA expression using barcoded antibodies or oligonucleotide probes with investigator-driven selection of regions of interest. Cell populations, e.g. immune cells, can be selectively analyzed via segmentation. A key advantage is the use of archived formalin-fixed, paraffin-embedded tissue, however, begging the question whether and to what extent tissue fixation and storage time affect the results. Materials and methods: Antibody binding density (ABD), i.e. the number of barcodes/µm2, is a key quality control measure for DSP spatial proteomics. To assess whether regional differences in tissue fixation have an influence on ABD, we compared 652 regions of interest selected from tumor center and periphery of 49 prostate cancer and 25 renal cell carcinoma (RCC) specimens. Moreover, the effect of tissue storage time on ABD was examined. Finally, we tested whether regional differences have an influence on ABD of segmented CD45+ or CD8+ cells. Results: No significant differences in ABD between tumor center and periphery were found in prostate cancer or RCC. However, ABD was significantly higher in recent specimens (≤5 years) when compared with those that were older (>5 years; P = 0.027). There was a trend towards higher ABD in the tumor periphery of RCC specimens after segmentation for immune cells, albeit without reaching statistical significance. Conclusions: The NanoString GeoMx® DSP platform delivers robust data to interrogate tumor heterogeneity, but tissue storage time should be considered when interpreting the results.

From bench to clinic: the development of VLA1553/IXCHIQ, a live-attenuated chikungunya vaccine.

BACKGROUND: Over the past 20 years, over 5 million cases of chikungunya, a mosquito-transmitted viral disease, have been reported in over 110 countries. Until recently, preventative strategies for chikungunya were largely ineffective, relying on vector control and individual avoidance of mosquito bites. METHODS: This review outlines the preclinical and clinical efficacy and safety data that led to the approval of VLA1553 (IXCHIQ®), a live-attenuated vaccine against chikungunya disease. It also describes the innovative development pathway of VLA1553, based on an immunological surrogate of protection, and discusses ongoing and future post-licensure studies. RESULTS: In mice and non-human primate models, VLA1553 elicited high titres of neutralizing antibodies, conferred protection against wild-type chikungunya virus challenge and raised no safety concerns. A Phase 1 clinical trial of VLA1553 demonstrated 100% seroconversion among 120 healthy participants, with sustained neutralizing antibody titres after 12 months. These results and determination of a surrogate marker of protection led to advancement of VLA1553 directly into Phase 3 clinical development, as agreed with the US Food and Drug Administration (FDA) and the European Medicines Agency. The pivotal Phase 3 trial met its primary immunogenicity endpoint, achieving seroprotective levels based on immuno-bridging in baseline seronegative participants 28 days post-vaccination. These findings enabled submission of a Biologics Licence Application to the FDA for accelerated approval of VLA1553 in the US for adults aged ≥18 years. Ongoing and planned studies will confirm the clinical efficacy/effectiveness and safety of VLA1553 in adults and younger individuals, and will generate data in chikungunya endemic countries that have the highest unmet need. CONCLUSION: VLA1553 is the first vaccine approved for the prevention of chikungunya disease in adults, following accelerated development based on a serological surrogate marker of protection. VLA1553 adds to strategies to reduce the spread and burden of chikungunya in endemic populations and travellers.

Early-age heat exposure improved growth performance and heat tolerance in broilers.

A total of 440 one-day-old healthy male Arbor Acres broilers were equally assigned to a control group (CTL) and an early-age high-temperature exposure (EHT) group (4 replicates per group, 55 chickens per replicate). At d 3, the broilers in CTL group were reared in the normal temperature 33 ± 1°C, while the broilers in EHT group were exposed to 36 ± 1°C for 24 h. At d 43, all broilers were treated with an acute high temperature 35 ± 1°C for 5 h. The results showed that average daily gain in EHT group was decreased at d 3, but average daily gain in EHT group was increased at d 36 to 42 (P < 0.05). Plasma GLU level in EHT group was lower in broilers at d 7 or facing subsequently high temperature for 5 h (P < 0.05). The relative expression of myogenic differentiation (MyoD) gene in pectoralis major and myogenic factor 5 (Myf5) gene in biceps femoris were significantly improved at d 42 after early-age heat exposure (P < 0.05). Broilers in EHT group have a higher temperature tolerance with a lower mortality than control broilers (P < 0.05). Broilers in EHT group have a lower rectal temperature and a higher comb and ear temperature when facing subsequently acute high temperature than control broilers (P < 0.05). In addition, our study demonstrated that early-age heat exposure significantly decreased the mortality and increased the heat tolerance of broilers when facing an acute short-term heat exposures. Early-age heat exposure increased the process of myogenesis via up-regulating the MyoD and Myf5 gene expression in skeletal muscle, which accelerated average daily gain.

[Exploratory study of starting age and interval of gastroscopy for different gastric mucosal lesions].

Objective: To understand the current status of gastroscopy in diagnosing gastric lesions in general population, and to recommend the optimal age for the first gastroscopy and intervals for repeated gastroscopy. Methods: The gastroscopy records of residents aged 18-80 years in Yinzhou District of Ningbo, Zhejiang Province, between April 2010 and December 2021 were analyzed retrospectively. The detections of gastric lesions across different years, age and genders were described. Goodness of fit tests were applied to compare the differences in detection rates of different lesions in first-time endoscopy in different age groups and different populations. Generalized additive models were used to fit the trend of age specific gastric lesion detection rate explore the optimal age for gastroscopy. The appropriate gastroscopy intervals were determined according to the progress of the gastric lesions detected in repeated gastroscopy. Results: A total of 237 751 participants with 344 398 gastroscopy records were included in analyses. A total of 5 597 cases of chronic atrophic gastritis (CAG), 9 796 cases of intestinal metaplasia (IM), 165 cases of low-grade intraepithelial neoplasia (LGIN), 52 cases of high-grade intraepithelial neoplasia (HGIN) and 435 cases of gastric cancer were detected by the first gastroscopy. The overall detection rate of gastric lesions increased significantly in age group 45-70 years, and remained stable after 70 years old, with LGIN and HGIN showing notable increases at 50 and 55 years old, respectively. Repeated gastroscopy detected CAG, IM, LGIN, and HGIN at a higher rate compared with the first gastroscopy. Normal/superficial gastritis progressed in 3-5 years, whereas CAG or more severe lesions progressed in 1-6 years. Conclusion: Gastroscopy is recommended for general population aged 45 years and above. Furthermore, gastroscopy can be performed every 3-5 years for individuals with normal endoscopy results and once a year for patients with CAG or more severe gastric lesions.

[Development and application of a prediction model for incidence of diabetic retinopathy in newly diagnosed type 2 diabetic patients based on regional health data platform].

Objective: To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM). Methods: Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve. Results: The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95%CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion: In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

27-Hydroxycholesterol contributes to hypercholesterolemia-associated aggravation of apical periodontitis in ovariectomized rats and raloxifene counteracts its action.

AIM: The influence of hypercholesterolemia on the development of apical periodontitis (AP) is inconclusive. Recent studies revealed that cholesterol metabolite 27-hydoxycholesterol (27HC) can affect cellular responses to bacterial infections and oestrogen status and raloxifene may influence its action. Herein, we aimed to examine the impact of 27HC on production of inflammatory mediators by macrophages and the regulatory function of raloxifene. The contribution of 27HC to AP development and the therapeutic effect of raloxifene were evaluated in a rat model. METHODS: Murine macrophages J774 cells were used. The expression of inducible nitric oxide synthase (iNOS) was examined by Western blot. The concentrations of C-C motif chemokine ligand (CCL) 2 and 27HC were assessed by enzyme-linked immunosorbent assay. Colorimetric assay was used to evaluate cholesterol levels. Experimental AP was induced in ovariectomized (OVX) or un-operated rats receiving high-fat/high-cholesterol diet (HFHCD) or normal diet (ND). Micro-computed tomography and immunohistochemistry were employed to evaluate disease severity and the therapeutic effect of raloxifene. RESULTS: Cholesterol enhanced 27HC production in macrophages. 27HC induced iNOS and CCL2 synthesis by macrophages and estradiol suppressed the responses. In our animal model of AP, HFHCD plus OVX significantly augmented serum and lesion tissue levels of 27HC (p < .05 versus the ND group). Lesion size, infiltration of CD68+ cells, and iNOS+ monocytes were increased in parallel with 27HC accumulation. Raloxifene inhibited pro-inflammatory effects of 27HC on macrophages and suppressed AP progression in HFHCD/OVX rats (p < .05 versus the vehicle control group). CONCLUSIONS: Our results suggested that 27HC contributes to AP aggravation associated with hypercholesterolemia. Oestrogen deficiency may both enhance 27HC production and exacerbate its downstream action.

Resveratrol analogues and metabolites selectively inhibit human and rat 11ß-hydroxysteroid dehydrogenase 1 as the therapeutic drugs: structure-activity relationship and molecular dynamics analysis.

Resveratrol is converted to various metabolites by gut microbiota. Human and rat liver 11ß-hydroxysteroid dehydrogenase 1 (11ß-HSD1) are critical for glucocorticoid activation, while 11ß-HSD2 in the kidney does the opposite reaction. It is still uncertain whether resveratrol and its analogues selectively inhibit 11ß-HSD1. In this study, the inhibitory strength, mode of action, structure-activity relationship (SAR), and docking analysis of resveratrol analogues on human, rat, and mouse 11ß-HSD1 and 11ß-HSD2 were performed. The inhibitory strength of these chemicals on human 11ß-HSD1 was dihydropinosylvin (6.91 µM) > lunularin (45.44 µM) > pinostilbene (46.82 µM) > resveratrol (171.1 µM) > pinosylvin (193.8 µM) > others. The inhibitory strength of inhibiting rat 11ß-HSD1 was pinostilbene (9.67 µM) > lunularin (17.39 µM) > dihydropinosylvin (19.83 µM) > dihydroresveratrol (23.07 µM) > dihydroxystilbene (27.84 µM) > others and dihydropinosylvin (85.09 µM) and pinostilbene (>100 µM) inhibited mouse 11ß-HSD1. All chemicals did not inhibit human, rat, and mouse 11ß-HSD2. It was found that dihydropinosylvin, lunularin, and pinostilbene were competitive inhibitors of human 11ß-HSD1 and that pinostilbene, lunularin, dihydropinosylvin, dihydropinosylvin and dihydroxystilbene were mixed inhibitors of rat 11ß-HSD1. Docking analysis showed that they bind to the steroid-binding site of human and rat 11ß-HSD1. In conclusion, resveratrol and its analogues can selectively inhibit human and rat 11ß-HSD1, and mouse 11ß-HSD1 is insensitive to the inhibition of resveratrol analogues.

CT histogram analysis to distinguish between acute intracerebral hemorrhage and cavernous hemangioma.

OBJECTIVE: Acute intracerebral hemorrhage (AICH) and cerebral cavernous hemangioma (CCM) are two common cerebral hemorrhage diseases with partially overlapping CT findings and clinical symptoms, making it hard to distinguish between them. The current study used histogram analysis based on CT images to differentiate between CCM and AICH and test its diagnosis performance. METHODS: This retrospective study included 158 patients with CCM and 137 patients with AICH. The histograms of brain CT plain scan images of both groups were extracted using Python code and included 18 histogram parameters of the lesions. The most effective parameters were selected by univariate logistic regression analysis and Spearman correlation analysis and included in the final multivariate logistic regression model. The sample was randomly divided into the training set and the validation set by 7:3. The ROC curve was constructed to evaluate the discriminant efficiency of the final logistic regression model in distinguishing between AICH and CCM. RESULTS: The univariate analysis identified seven significant histogram parameters with the following final logistic regression model: F = 3.731 + 2.6411 × 10-9 × Energy-1.192 × Kurtosis-0.003 × Minimum-1.449 × Skewness + 2.5002 × 10-10 × Total Energy-1.103 × Uniformity+0.009 × Variance. The model showed good diagnostic performance in distinguishing between AICH and CCM, with an AUC of 0.876, sensitivity of 70.8%, and specificity of 91.9% in the training set, and an AUC of 0.870, sensitivity of 82.9%, and specificity of 85.1% in the validation set. CONCLUSIONS: The histogram analysis of brain CT images can be used as an auxiliary method to distinguish between AICH and CCM effectively.

[Comparison of the efficacy of robot assisted and thoracoscopic assisted thoracic surgery in non-small cell lung cancer].

Objective: To compare the safety and short-term efficacy of robotic-assisted thoracic surgery(RATS) and video-assisted thoracoscopic surgery(VATS) in patients with non-small cell lung cancer (NSCLC). Methods: A retrospective analysis of the clinical data of 2 058 NSCLC patients who underwent RATS and VATS from January 2021 to December 2022 in Xiangya Hospital of Central South University was conducted, including 1 006 males and 1 052 females, with the age of (57.3±9.9) years. According to the surgical approach, the patients were divided into RATS group (n=1 190) and VATS group (n=868). The nearest neighbor matching method was used to perform 1∶1 propensity score matching (PSM). A comparison was made about the intraoperative conditions and postoperative complication rates between the RATS and VATS groups before and after PSM. Furthermore, after PSM, a stratified analysis was conducted based on surgical approach, separately comparing the intraoperative conditions and postoperative complication rates between the VATS and RATS groups among patients who underwent lobectomy and segmentectomy, respectively. Results: After PSM, a total of 1 692 patients were included, with 846 patients in both the VATS and RATS groups. After stratification based on surgical approach, there were 503 patients in the RATS group and 548 patients in the VATS group for lobectomy, and 338 patients in the RATS group and 298 patients in the VATS group for segmentectomy. Before PSM, statistically significant differences were observed between the RATS and VATS groups in terms of intraoperative conversion to open thoracotomy, number of lymph node dissection/sampling stations, extubation time, total length of hospital stay, and total hospitalization costs (all P<0.001). After PSM, compared with the VATS group, the RATS group had a lower intraoperative conversion rate to open surgery [1.2% (10/846) vs 5.1% (43/846)], less intraoperative blood loss [(73.6±77.4) ml vs (112.6±239.3) ml], a greater number of sampled/dissected lymph node stations [(4.8±2.0) vs (3.7±1.8)], a shorter duration of drainage tube placement [(3.6±2.7) d vs (4.1±2.5) d], and a higher postoperative drainage volume [(273.9±183.0) ml vs (256.5±168.7) ml] (all P<0.001). There was no statistically significant difference in the incidence of postoperative complications between the two groups (P=0.108). The results of the surgical stratification analysis showed statistically significant differences between the two groups in terms of intraoperative blood loss, number of lymph node dissection/sampling stations, extubation time, and total hospitalization costs for both lobectomy and segmentectomy surgeries (all P<0.001). In lobectomy surgeries, the RATS group had a lower rate of intraoperative conversion to open thoracotomy than that of VATS group [1.6% (8/503) vs 7.7% (42/548), P<0.001]. In segmentectomy surgeries, the RATS group had more postoperative drainage volume than that of VATS group [(249.8±151.5) ml vs (218.7±132.9) ml, P=0.023]. There was no statistically significant difference in the incidence of surgical complications between the two groups for both lobectomy and segmentectomy surgeries (both P>0.05). Conclusion: In the surgical management of NSCLC, RATS offers more advantages over VATS in reducing conversion rates to open surgery, minimizing perioperative adverse events, and facilitating faster patient recovery postoperatively.

[Prevalence and epidemiological characteristics of major chronic diseases in people living with HIV in Taizhou, Zhejiang Province, 1998-2022].

Objective: To understand the prevalence of major chronic diseases of diabetes, cardiovascular disease and malignant tumor in people living with HIV in Taizhou. Methods: The data were collected from China Information System for Disease Control and Prevention and Taizhou Chronic Disease Information Management System. A total of 5 126 people living HIV under follow-up in Taizhou from 1998 to 2022 were included in the analysis. Software SAS 9.4 was used for χ2 test, trend analysis and logistic regression analysis. Results: In the 5 126 people living with HIV, the reported prevalence rates of diabetes,cardiovascular disease and malignant tumor were 10.28% (527/5 126),3.98% (204/5 126) and 6.01% (308/5 126), respectively. 37.00% (195/527) and 48.58% (256/527), 40.20% (82/204) and 48.53% (99/204), 37.66% (116/308) and 48.38% (149/308) were diagnosed as diabetes, cardiovascular disease and malignant tumor before and after confirmation of HIV infection. From 2013 to 2022, the proportion of HIV infected people diagnosed with diabetes, cardiovascular disease and malignant tumor after confirmation increased (trend χ2=79.98,P<0.001; trend χ2=17.44,P<0.001; trend χ2=32.06,P<0.001). Based on the analysis on the factors for complicated chronic diseases in people living with HIV, it was found that women under 60 years old (aOR=0.66, 95%CI: 0.50-0.86) and those with access to antiviral treatment for >5 years before 2016 (aOR=0.54,95%CI:0.37-0.78) were less likely to develop complicated chronic diseases, and those under 60 years old with initial CD4+T lymphocytes counts <200 cells/µl (aOR=1.32, 95%CI: 1.02-1.70), those aged 40-49 and 50-59 years (aOR=2.88, 95%CI:2.20-3.79; aOR=5.43, 95%CI: 4.10-7.21) as well as those without a record of treatment medication use after 2016 (aOR=1.95,95%CI:1.20-3.16) were more likely to develop complicated chronic diseases. The probability of developing complicated chronic diseases might increase with age in people living with HIV. Conclusions: From 1998 to 2022, there was a certain proportion of complicated chronic diseases among HIV infected individuals in Taizhou, and the proportion of diagnosed cases increased after HIV infection was confirmed. It is necessary to conduct early chronic disease screening, behavior intervention and standardized management in people living with HIV.

[Development of a prediction model for incidence of diabetic foot in patients with type 2 diabetes and its application based on a local health data platform].

Objective: To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform. Methods: Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability. Results: No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95%CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions: This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

[Effect of preoperative immune checkpoint inhibitors on reducing residual lymph node metastases in patients with gastric cancer: a retrospective study].

Objective: To investigate the effect of immune checkpoint inhibitors on reducing residual lymph node metastasis in patients with gastric cancer. Methods: The cohort of this retrospective study comprised patients from Nanfang Hospital of Southern Medical University and the First Affiliated Hospital of Xiamen University who had undergone systemic treatment prior to gastrectomy with D2 lymphadenectomy and had achieved Grade 1 primary tumor regression (TRG1) from January 2014 to December 2023. After exclusion of patients who had undergone preoperative radiotherapy, data of 58 patients (Nanfang Hospital: 46; First Affiliated Hospital of Xiamen University: 12) were analyzed. These patients were allocated to preoperative chemotherapy (Chemotherapy group, N=36 cases) and preoperative immunotherapy plus chemotherapy groups (Immunotherapy group, N=22 cases). There were no significant differences between these groups in sex, age, body mass index, diabetes, tumor location, pathological type, Lauren classification, tumor differentiation, pretreatment depth of invasion by primary tumor, pretreatment lymph node stage, pretreatment clinical stage, mismatch repair protein status, number of preoperative treatment cycles, or duration of preoperative treatment (all P>0.05). The primary outcome measure was postoperative lymph node downstaging. Secondary outcomes included postoperative depth of invasion by tumor, number of lymph nodes examined, and factors affecting residual lymph node metastasis status. Results: Lymph node downstaging was achieved significantly more often in the Immunotherapy group than the Chemotherapy group (pN0: 90.9% [20/22] vs. 61.1% [22/36]; pN1: 4.5% [1/22] vs. 36.1% [13/36]; pN2: 4.5% [1/22) vs. 0; pN3: 0 vs. 2.8% [1/36], Z=-2.315, P=0.021). There were no significant difference between the two groups in number of lymph nodes examined (40.5±16.3 vs. 40.8±17.5, t=0.076, P=0.940) or postoperative depth of invasion by primary tumor (pT1a: 50.0% [11/22] vs. 30.6% [11/36]; pT1b: 13.6% [3/22] vs. 19.4% [7/36]; pT2: 13.6% [3/22] vs. 13.9% [5/36]; pT3: 13.6% [3/22] vs. 25.0% [9/36]; pT4a: 9.1% [2/22] vs. 11.1% [4/36], Z=-1.331, P=0.183). Univariate analysis revealed that both preoperative treatment regimens were associated with residual lymph node metastasis status in patients whose primary tumor regression was TRG1 (χ2=6.070, P=0.014). Multivariate analysis incorporated the following factors: pretreatment depth of invasion by primary tumor, pretreatment lymph node stage, pretreatment clinical stage, number of preoperative treatment cycles, and preoperative treatment duration. We found that a combination of immunotherapy and chemotherapy administered preoperatively was an independent protective factor for reducing residual lymph node metastases in study patients whose primary tumor regression was TRG1 (OR=0.147, 95%CI: 0.026-0.828, P=0.030). Conclusion: Compared with preoperative chemotherapy alone, a combination of preoperative immunotherapy and chemotherapy achieved greater reduction of residual lymph node metastases in the study patients who achieved TRG1 tumor regression in their primary lesions.

Epidemiology of travel-associated dengue from 2007 to 2022: A GeoSentinel analysis.

BACKGROUND: Dengue is a leading cause of febrile illness among international travellers. We aimed to describe the epidemiology and clinical characteristics of imported dengue in returning travellers evaluated at GeoSentinel sites from 2007 to 2022. METHODS: We retrieved GeoSentinel records of dengue among travellers residing in non-endemic countries. We considered dengue confirmed when diagnosed by a positive dengue virus (DENV)-specific reverse-transcriptase polymerase chain reaction, positive NS-1 antigen and/or anti-DENV IgG seroconversion, and probable when diagnosed by single anti-DENV IgM or high-titre anti-DENV IgG detection. Severe dengue was defined as evidence of clinically significant plasma leakage or bleeding, organ failure, or shock, according to the 2009 World Health Organization guidance. Complicated dengue was defined as either severe dengue or dengue with presence of any warning sign. Analyses were descriptive. RESULTS: This analysis included 5958 travellers with confirmed (n = 4859; 81.6%) or probable (n = 1099; 18.4%) dengue. The median age was 33 years (range: <1-91); 3007 (50.5%) travellers were female. The median travel duration was 21 days (interquartile range [IQR]: 15-32). The median time between illness onset and GeoSentinel site visit was 7 days (IQR: 4-15). The most frequent reasons for travel were tourism (67.3%), visiting friends or relatives (12.2%) and business (11.0%). The most frequent regions of acquisition were South East Asia (50.4%), South Central Asia (14.9%), the Caribbean (10.9%) and South America (9.2%). Ninety-five (1.6%) travellers had complicated dengue, of whom 27 (0.5%) had severe dengue and one died. Of 2710 travellers with data available, 724 (26.7%) were hospitalized. The largest number of cases (n = 835) was reported in 2019. CONCLUSIONS: A broad range of international travellers should be aware of the risk of acquiring dengue and receive appropriate pre-travel counselling regarding preventive measures. Prospective cohort studies are needed to further elucidate dengue risk by destination and over time, as well as severe outcomes and prolonged morbidity (long dengue) due to travel-related dengue.

Prevalence of Developmental, Psychiatric, and Neurologic Conditions in Older Siblings of Children with and without Autism Spectrum Disorder: Study to Explore Early Development.

This study evaluated developmental, psychiatric, and neurologic conditions among older siblings of children with and without autism spectrum disorder (ASD) to understand the extent of familial clustering of these diagnoses. Using data from the Study to Explore Early Development, a large multi-site case-control study, the analyses included 2,963 children aged 2-5 years with ASD, other developmental disabilities (DD group), and a population-based control group (POP). Percentages of index children with older siblings with select developmental, psychiatric, and neurologic conditions were estimated and compared across index child study groups using chi-square tests and multivariable modified Poisson regression. In adjusted analyses, children in the ASD group were significantly more likely than children in the POP group to have one or more older siblings with ASD, developmental delay, attention-deficit/hyperactivity disorder, intellectual disability, sensory integration disorder (SID), speech/language delays, or a psychiatric diagnosis (adjusted prevalence ratio [aPR] range: 1.4-3.7). Children in the DD group were significantly more likely than children in the POP group to have an older sibling with most of the aforementioned conditions, except for intellectual disability and psychiatric diagnosis (aPR range: 1.4-2.2). Children in the ASD group were significantly more likely than children in the DD group to have one or more older siblings with ASD, developmental delay, SID, or a psychiatric diagnosis (aPR range: 1.4-1.9). These findings suggest that developmental disorders cluster in families. Increased monitoring and screening for ASD and other DDs may be warranted when an older sibling has a DD diagnosis or symptoms.