ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Objective: To analyze the effects of ambient air pollutants including fine particulate matter (PM2.5), ozone (O3) and carbon monoxide (CO) on mortality from respiratory diseases in Qingyuan City, Guangdong Province from 2018 to 2022, so as to provide the evidence for optimizing prevention and control strategies for respiratory diseases. Methods: Data on deaths caused by respiratory diseases in Qingyuan City from 2018 to 2022 were collected through the population death registration and management system of the Chinese Center for Disease Control and Prevention, and the corresponding data on ambient air pollutants were collected through the China National Environmental Monitoring Center. A distributed lag non-linear model (DLNM) was established to explore the association between air pollutants and mortality from respiratory diseases. Attributable fraction (AF) and attributable deaths were calculated to assess the attributable risks of air pollutants for respiratory disease mortality. Results: A total of 17 008 deaths due to respiratory diseases were reported in Qingyuan City from 2018 to 2022, with an average annual mortality of 88.63/105. The median mass concentrations of PM2.5, O3 and CO were 23.83 (interquartile range, 21.22), 53.00 (interquartile range, 32.82), and 770.83 (interquartile range, 295.29) μg/m3, respectively. The results of DLNM analysis showed that within the lag period of 0-7 days, the cumulative RR on respiratory disease mortality generally increased along with the rising concentrations of PM2.5, O3 and CO. On the exposure day (lag 0 day), high concentrations of PM2.5 (155.04 μg/m3) and CO (2 253.12 μg/m3) were associated with higher mortality risk, with the RR values of 1.520 (95%CI: 1.228-1.904) and 1.891 (95%CI: 1.650-2.314) respectively. A high O3 concentration (148.08 μg/m3) at lag 7 days also led to higher mortality risk, with an RR value of 1.341 (95%CI: 1.088-1.713). The AF of respiratory disease mortality related to PM2.5, O3 and CO exposure was 14.522% (95%CI: 4.320%-24.265%), 8.598% (95%CI: 3.760%-13.351%) and 24.994% (95%CI: 14.903%-34.056%) respectively. The attributable deaths were 2 469 (95%CI: 735-4 128), 1 463 (95%CI: 639-2 270) and 4 250 (95%CI: 2 534-5 793). Conclusions Concentrations of PM2.5, O3 and CO in Qingyuan City had a non-linear relationship with the mortality risk of respiratory diseases, which was affected by lag effects. Exposure to the three air pollutants imposed substantial attributable burdens on respiratory disease mortality. CO contributed the highest burden, followed by PM2.5 and O3.

Anopheles stephensi is an important malaria vector in many Southeast Asian countries, and is also a widely distributed Anopheles species in parts of Asia. As a potential vector of malaria and other mosquito-borne diseases, Anopheles stephensi had a relative wide distribution in China. This review gives a brief overview of the morphological characteristics and geographical distribution of Anopheles stephensi, which has been reported in South China, Southwest China and East China, including but not limited to Guangdong, Guangxi, Hainan, Guizhou, Sichuan, Xizang, Yunnan, Fujian and other provinces. Thanks to the continuous and effective disease surveillance and mosquito control strategies, the risk of malaria epidemic in China has been greatly reduced. However, Anopheles stepheni is highly invasive and adaptable, in addition to its rapid spread in global distribution, together with global climate anomalies and other factors, there still exists a certain transmission risk of the diseases related to Anopheles stepheni in some parts of China. In order to consolidate the achievements of malaria prevention and control, it is still necessary to conduct continuous monitoring of Anopheles stephensi and other malaria vectors, and to consolidate the implementation of malaria control measures in China.

Objective:To investigate the value of quantitative parameters of dual-layer detector spectral CT (DLCT) in preoperative prediction of lymphovascular invasion (LVI) in invasive lung adenocarcinoma.Methods:This study employed a cross-sectional design. The data of 91 patients with primary lung adenocarcinoma confirmed by postoperative pathology who underwent DLCT enhanced scanning in the First Affiliated Hospital of Zhengzhou University from March 2022 to July 2024 were retrospectively collected. The patients were divided into LVI positive group and LVI negative group according to the postoperative pathology. Gender, age, smoking status, and lesion location were recorded,the clinical T-stage and N-stage were evaluated. Spectral base data images were generated based on the spectral reconstruction algorithm. Conventional CT features such as the size and density of the lesions were analyzed. The DLCT quantitative parameters such as 40 keV single-energy CT value (CT 40 keV), iodine density (ID), standardized iodine density (NID), and effective atomic number (Z eff) were measured. The differences of parameters between the two groups were compared using t-test, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analysis was used to identify independent factors for predicting invasive lung adenocarcinoma LVI. The predictive performance of individual parameters and their combinations for LVI in invasive lung adenocarcinoma was evaluated using receiver operating characteristic curve analysis and area under the curve (AUC) measurements. Results:There were significant differences in age, T stage, N stage, maximum diameter, focal density, and arteriovenous stage NID and Z eff between the LVI positive group and the LVI negative group ( P<0.05). Multiple logistic regression analysis showed that age ( OR=0.890, 95% CI 0.821-0.966), N stage( OR=12.721, 95% CI 2.676-60.473) and venous stage Z eff( OR=0.012,95% CI 0-0.668) were independent factors for predicting invasive lung adenocarcinoma LVI ( P<0.05). The combination of age, N stage, and venous-phase Z eff values demonstrated the highest predictive efficacy for LVI in invasive lung adenocarcinoma, with an AUC of 0.916. Conclusions:The quantitative parameters of DLCT are helpful for preoperative prediction of LVI status of invasive lung adenocarcinoma. The Z eff in the venous stage is an independent predictor, the combination of multiple parameters can further improve the diagnostic efficiency.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To compare the efficacy and safety of crisaborole ointment 2% versus pimecrolimus cream 1% in the treatment of mild to moderate atopic dermatitis in children aged 2 years or older.Methods:A multicenter, randomized, open-label, controlled clinical trial was conducted. A total of 120 pediatric patients aged 2 - 17 years with mild to moderate atopic dermatitis were enrolled from departments of dermatology of 8 hospitals in China between March 2022 and February 2023. The participants were randomly assigned in a 1∶1 ratio to the crisaborole group and the pimecrolimus group, and received the treatment with crisaborole ointment 2% and pimecrolimus cream 1% respectively, twice a day for 4 weeks. Visits were scheduled at baseline/on day 1, as well as on days 8, 15, and 29. The primary efficacy outcome was the percentage of patients achieving the Investigator's Static Global Assessment (ISGA) success (defined as clear [0] or almost clear [1] on the ISGA scale, combined with ≥ 2‐grade improvement from baseline) on day 29. The secondary efficacy outcomes included changes in the Eczema Area and Severity Index (EASI) total scores from baseline to day 29, percentages of patients achieving ISGA improvement (defined as clear [0] or almost clear [1] on the ISGA scale), as well as changes in the Peak Pruritus Numerical Rating Scale (NRS) scores, Dermatology Life Quality Index (DLQI) /Infants' Dermatology Life Quality Index (IDLQI) /Children's Dermatology Life Quality Index (CDLQI) scores, and in the Dermatitis Family Impact (DFI) scores. Drug safety was evaluated according to the incidence of adverse events. Categorical data were compared using the chi-square test. Since measurement data did not follow a normal distribution, the rank sum test was used for comparisons of measurement data between groups.Results:A total of 106 children with mild to moderate atopic dermatitis were included in the per-protocol analysis set, with 52 in the crisaborole group (26 males and 26 females) and 54 in the pimecrolimus group (27 males and 27 females). There were no significant differences in age, disease duration, ISGA and EASI scores at baseline between the two groups (all P > 0.05). On day 29, 22 patients (42.31%) in the crisaborole group and 25 (46.30%) in the pimecrolimus group achieved ISGA success, with no significant difference between the two groups ( χ2 = 0.17, P = 0.68) ; 35 patients (67.31%) in the crisaborole group and 45 (83.33%) in the pimecrolimus group achieved ISGA improvement, also with no significant difference between the two groups ( χ2 = 3.68, P = 0.06) ; additionally, there were no significant differences in the EASI, pruritus NRS, DLQI/IDLQI/CDLQI, or DFI scores between the two groups (all P > 0.05). Adverse reactions to the two topical agents were mainly local reactions such as mild to moderate pain, itching, or worsening of itching, and no obvious systemic adverse reactions occurred. The incidence of drug-related adverse reactions was 46.15% (24 cases) in the crisaborole group and 37.04% (20 cases) in the pimecrolimus group, with no significant difference between the two groups ( χ2 = 0.91, P = 0.34) . Conclusion:The efficacy of crisaborole ointment 2% was comparable to that of pimecrolimus cream 1% in the treatment of mild to moderate atopic dermatitis in children aged ≥ 2 years, and it yielded early and rapid improvement in the quality of life of patients and their families, with good safety and tolerability profiles.

The discovery of streptomycin in 1943 marked a new era in plague treatment. Over the subsequent eight decades, significant advances have been made through the implementation of various antibiotics, both as monotherapy and in combination regimens. These treatments have included aminoglycosides (such as streptomycin and gentamicin), tetracyclines, sulfonamides, chloramphenicol, quinolones, and beta-lactams, which have dramatically cut down the death rate from plague infections. However, due to bacterial adaptation mechanisms, Yersinia pestis can develop diminished sensitivity or resistance to certain antibiotics. This article examines the resistance mechanisms of Yersinia pestis and analyzes antimicrobial susceptibility patterns and resistance in plague treatment, aiming to provide scientific evidence for clinicians to understand the current status of traditional and new antibiotics in plague treatment and improve the treatment level of plague patients.

Objective:The aim of this study was to explore the risk factors that affect implementation of the innovative technique of single-incision laparoscopic appendectomy (solo-SLA) without assistance in patients with complicated appendicitis, the goal being improving surgical success rates and reducing the incidence of complications.Methods:This was an observational study. Indications for solo-SLA surgery were as follows: (1) computed tomography or ultrasound findings suggestive of acute appendicitis, accompanied by a high white blood cell count and C-reactive protein concentration; (2) disease course exceeding 72 hours, standard anti-infection treatment ineffective, inflammatory reaction not localized, surgery mainly aimed at abscess drainage, and the appendix removed if indicated intraoperatively; (3) acute onset stabilized for more than 3 months after conservative treatment; and (4) recurrent chronic appendicitis. Relative contraindications comprised: (1) cardiopulmonary insufficiency, extremely high risk for general anesthesia for laparoscopic surgery; (2) severe coagulation dysfunction; and (3) imaging findings suggestive of formation of a peri-appendiceal abscess, stable after anti-infection treatment, and a tendency for the inflammatory reaction to localize. We retrospectively collected clinical data of 106 patients with complicated appendicitis who had undergone solo-SLA in the Department of Emergency Surgery, Peking University People's Hospital from February to October 2023. Preoperative computed tomography showed appendiceal fecaliths, blurring of the tissue surrounding fat, intra- and extra-luminal gas and exudate, peri-appendiceal abscess, ascites, and intestinal obstruction by appendicitis. The study cohort comprised 53 male and 53 female patients aged (41.4±17.4) years. The median body mass index was (24.2±3.6) kg/m 2 and median preoperative body temperature (37.3±0.9)℃ Appendicitis had been present for >3 days in 21 of the patients (19.8%) and the maximum diameter of the appendix was (12.4±3.8) mm. The efficacy of the surgery was assessed and logistic regression analysis used to explore the factors affecting the duration of the procedure. The relationship between the maximum diameter of the appendix and duration of surgery was non-linear and was explored using a logistic regression model with restricted cubic spline (RCS). Results:Only one patient required conversion to open surgery; all the other patients successfully completed solo-SLA with a median intraoperative blood loss of 10 (1-100) ml and a surgical time of (65.4±31.7) minutes. Pain scores on postoperative Day 1 and 7 were (3.4±3.2) points and (1.5±1.7) points, respectively. There were no significant postoperative complications .The postoperative hospital stay was (3.5±1.5) days and the interval to resuming normal activities 14 (2-40) days. According to univariate and multivariate analyses, disease course >3 days (OR=5.19, 95%CI: 1.59-16.98, P=0.006) and C-reactive protein >10 mg/L (OR=1.01,95%CI: 1.00-1.02, P=0.003) were independent risk factors for surgical duration >60 minutes, whereas the maximum diameter of the appendix was not independently associated with duration of surgery (OR=1.10, 95%CI: 0.97-1.25, P=0.119). RCS analysis results showed a "U-shaped" association between the maximum diameter of the appendix and duration of surgery, the inflection point of the RCS curve being at a diameter of 10 mm. When the maximum diameter of the appendix was <10 mm, increases in diameter were not associated with longer duration of surgery (OR=1.15,95%CI: 0.55-2.58, P=0.710); whereas when the diameter was ≥10 mm, the maximum diameter of the appendix was associated with increased duration of surgery (OR=1.20, 95% CI: 1.04-1.42, P=0.022). Conclusion:The solo-SLA procedure can be performed to treat complicated appendicitis. A disease course >3 days, C-reactive protein concentration >10 mg/L, and maximum diameter of the appendix ≥10 mm are all associated with greater difficulty of solo-SLA surgery.