Objective: To analyze the trend of the incidence of pulmonary tuberculosis in Yecheng County of Xinjiang from 2011 to 2022 and the influence of age, period and birth cohort effect on the incidence of pulmonary tuberculosis, so as to provide a new theoretical reference for the prevention and control of local pulmonary tuberculosis. Methods : Based on the registration data of new pulmonary tuberculosis cases in Yecheng County, Xinjiang from 2011 to 2022, the connection point regression model was used to calculate the crude incidence rate, age-standardized incidence rate, annual percentage change(APC), and average annual percentage change(AAPC) to describe the epidemic trend of pulmonary tuberculosis. The age-period-cohort model was used to explore the influence of age, period and birth cohort effect on the trend of pulmonary tuberculosis incidence. Results : From 2011 to 2022, a total of 17 057 new cases of pulmonary tuberculosis were registered in Yecheng County, Xinjiang. The crude incidence and standardized incidence were 416.07/100 000 and 496.01/100 000, respectively. The incidence of pulmonary tuberculosis increased first and then decreased during the 12 years, with an upward trend from 2011 to 2018. The APC values of the standardized incidence of pulmonary tuberculosis in the total population, males and females were 24.42%(95%CI: 11.55-38.78), 27.24%(95%CI: 12.35-44.10) and 21.79%(95%CI: 9.81-35.09), respectively. From 2018 to 2022, there was a downward trend. The APC values of the standardized incidence of tuberculosis in the total population, males and females were-38.51%(95%CI:-53.27--19.09),-38.18%(95%CI:-54.59--15.85) and-38.73%(95%CI:-52.96--20.19), respectively. With the increase of age, the incidence of pulmonary tuberculosis showed a trend of rising first and then fluctuating steadily. The risk of the population increased first and then decreased over time, and the later the birth, the lower the risk of the cohort. Conclusion The incidence of pulmonary tuberculosis in Yecheng County of Xinjiang showed a trend of increasing first and then decreasing in the past 12 years, and gradually increased with age. The earlier the birth, the higher the risk of the disease. Men and the elderly are the key targets of tuberculosis prevention and control in Yecheng County, Xinjiang. It is recommended to strengthen the screening of key populations.

Objective : To explore the feasibility of machine learning methods in the discrimination of tuberculosis patients. Methods : The data of 15 observation indicators of 860 patients were obtained from a tertiary hospital. Through in-depth mining and analysis of the data, support vector machine, random forest and neural network model methods were used to discriminate the diseases of patients. Results : The accuracies of the TB suspected patient discrimination models based on support vector machine, random forest and neural network were 90%, 91% and 88%, respectively. Conclusion All three machine learning methods can be used for discriminative analysis of suspected tuberculosis patients. In comparison, random forest performs better in discriminating patients with tuberculosis from those with pneumonia.

Objective: To investigate the characteristics of temporal and spatial distribution of tuberculosis epidemics in Shache County, Kashgar Region, Xinjiang. Methods: Information on the incidence of tuberculosis in Sacha County from 2019—2021 was collected and spatiotemporally analyzed by applying the circular distribution method, local spatial autocorrelation analysis, hot and cold spot analysis, directional distribution and spatial center of gravity methods. Results : The total number of tuberculosis cases in Shache County in 2019—2021 was 8 345, of which 52.03%were male and 47.97% were female, and the patients were predominantly 60-75 years old. The number of reported incidences of TB in Tagarqi Township, Shache Township, and Chajek Township ranked among the top three in the county. Spring and summer were the disease-prone seasons for TB, and mid-March to mid-July was the period of high disease incidence. Misha Township and Ishkuli Township are the “high and high” gathering areas, while the “low and low” gathering areas are mainly concentrated in Khoshrav Township and Karasu Township. The hotspots of TB incidence in Shache county were Tagarqi township, Misha township, and Ishkuli township. During the study period, the center of gravity of TB incidence in Shache county of Kashgar area gradually shifted from the southwest to the northeast. Conclusion In Shache county, there is a certain degree of aggregation of tuberculosis outbreaks, with more men than women reporting illnesses, a larger proportion of older people, and a strong seasonal incidence of the disease, with Mixia township and Ishikuli township being the key areas of incidence. Relevant departments should continue to strengthen the disease surveillance of key populations and regions during the high incidence of tuberculosis, and take appropriate intervention measures to reduce the risk of tuberculosis transmission.

Objective To evaluate the clinical efficacy of Dangui Siwei Yin cell-wall broken powder in the treatment of degenerative lumbar spinal stenosis(DLSS)with qi deficiency and blood stasis syndrome.Methods A randomized controlled trial was conducted on 72 patients with qi deficiency and blood stasis-typed DLSS admitted to Guangdong Second Traditional Chinese Medicine Hospital(Huangpu Hospital)from November 2023 to January 2025.Patients were randomly divided into a cell-wall broken powder group and a traditional midicinal slice group(36 cases each)using a random number table method.Both groups received conventional western treatment(oral administration of Etoricoxib Tablets and Mecobalamin Tablets).Additionally,the cell-wall broken powder group was treated with Dangui Siwei Yin cell-wall broken powder,while the traditional midicinal slice group received traditional decoction of Dangui Siwei Yin.Both groups underwent a 1-week treatment course.Changes in Visual Analogue Scale(VAS)of pain scores,Oswestry Disability Index(ODI)scores,and Japanese Orthopaedic Association(JOA)lumbar function scores were observed before and after treatment.Clinical efficacy and medication safety were evaluated.Results(1)After one week of treatment,the total effective rate was 88.89％(32/36)in the cell-wall broken powder group and 75.00％(27/36)in the traditional midicinal slice group.The intergroup comparison(by chi-square test)showed that the efficacy in the cell-wall broken powder group was superior to the traditional midicinal slice group(P＜0.05).(2)After treatment,VAS and ODI scores were significantly decreased in both groups(P＜0.05),while JOA scores significantly increased(P＜0.05).The cell-wall broken powder group demonstrated superior improvements in VAS and ODI reduction and JOA elevation compared to the traditional midicinal slice group(P＜0.05).(3)The adverse reaction rate was 8.33％(3/36)in the cell-wall broken powder group and 11.11％(4/36)in the traditional midicinal slice group,with no statistically significant difference(P＞0.05).Conclusion Compared with traditional midicinal slice,Dangui Siwei Yin cell-wall broken powder exhibit better efficacy in alleviating low back and leg pain and improving lumbar function in qi deficiency and blood stasis-typed DLSS patients.This study provides evidence-based medical support for the clinical application and further development of cell-wall broken powder formulations in traditional Chinese medicine.

Objective:This study aims to systematically compare the differences in severity, clinical manifestations, and treatment processes between patients with foodborne and iatrogenic botulism, thereby providing evidence-based support for clinical diagnosis and management.Methods:A retrospective analysis was conducted on botulism patients admitted to the Second Hospital of Hebei Medical University between January 2010 and July 2024. The foodborne group was diagnosed according to the WS/T 83-1996 standard. The iatrogenic group required a documented history of type A botulinum toxin injection and typical clinical manifestations. Individuals with comorbid neurological disorders or incomplete clinical data were excluded. The severity of poisoning was classified into three groups: mild, moderate, and severe, according to the "Diagnosis and Treatment Protocol for Botulism". SPSS 26.0 software was used to statistically analyze the distribution of poisoning severity between groups and to compare clinical symptoms and course indicators across severity grades.Results:A total of 220 botulism patients were included in this study, comprising 86 cases of foodborne poisoning (39.1%) and 134 cases of iatrogenic poisoning (60.9%). There was a significant difference in the distribution of poisoning severity between the two groups ( P=0.001), the proportion of severe poisoning was significantly higher in the foodborne group. Analysis of clinical symptoms indicated that, among patients with mild poisoning, the incidence of nausea and vomiting was significantly higher in the foodborne group, compared to that in the iatrogenic group (44.0% vs. 16.4%, P=0.006). In patients with moderate poisoning, the iatrogenic group exhibited a significantly higher prevalence of hoarseness (60.5% vs. 35.7%, P=0.041) and neck weakness (53.5% vs. 17.9%, P=0.003) compared to the foodborne group. Conversely, the foodborne cohort experienced a notably longer interval before seeking medical attention when compared to their iatrogenic counterparts (2.25 d vs. 1.50 d, P=0.003). Among severe poisoning patients, the foodborne group exhibited a higher likelihood of experiencing fever (51.5% vs. 25.0%, P=0.044) and abdominal distension accompanied by constipation (69.7% vs. 41.7%, P=0.034) when compared to the iatrogenic group. Furthermore, the foodborne cohort demonstrated a significantly shorter incubation period (1.00 d vs. 2.45 d, P<0.001), an extended length of hospitalization (22.0 d vs. 16.00 d, P=0.001), and a prolonged duration of antitoxin therapy (14.00 d vs. 9.50 d, P<0.001), alongside a markedly higher total dosage administered (315 900 U vs. 163 300 U, P<0.001) compared to their iatrogenic counterparts. Conclusions:Statistically significant differences exist between food-borne and iatrogenic botulism. Food-borne botulism is characterized by acute onset, greater severity, and a prolonged course, predominantly featuring systemic symptoms and gastrointestinal dysfunction. In contrast, iatrogenic botulism primarily manifests with ocular and oropharyngeal muscle symptoms and is generally less severe.

Objective: To analyze the spatio-temporal distribution characteristics of pulmonary tuberculosis incidence in Xinjiang, and to provide reference for the prevention and control of pulmonary tuberculosis. Methods: The reported incidence numbers of tuberculosis and population data from various counties, cities(prefectures), and districts in Xinjiang from 2010 to 2022 were collected. Based on spatial-temporal scan statistics, standard deviational ellipse analysis, and centroid migration models, the clustering and migration trends of tuberculosis incidence were evaluated. Utilizing Kriging interpolation techniques, an interpolation analysis of the 2022 incidence rate was conducted on an annual scale, with the reported incidence rate in 2018 serving as a temporal control, to identify hotspots of the spatio-temporal distribution. ArcGIS software was employed to visualize the continuous spatial trends of incidence rate changes. Results: The annual reported incidence rate of tuberculosis in Xinjiang from 2010 to 2022 varied year by year, with fluctuations and increases prior to 2018, peaking in 2018, and then declining annually thereafter. The spatial distribution of the incidence rate exhibited a trend of initial clustering followed by diffusion, with the centroid of incidence shifting towards the northeast, yet the epicenter of the epidemic remained in Aksu Prefecture. The results of spatiotemporal scan statistics analysis revealed that the three-level aggregated areas of the epidemic encompassed a total of 41 prefectures, counties, and cities, with the tuberculosis incidence risk in the primary and secondary aggregated areas being significantly higher than that in other regions(P<0.01). The Kriging interpolation prediction map suggested that the four prefectures in southern Xinjiang continued to be high-risk regions for tuberculosis(incidence rate>300/100 000). The overall incidence rate in the northern region was relatively low, with the lowest rate observed in Urumqi, radiating outwards. Conclusion The incidence rate of tuberculosis in Xinjiang shows an upward trend before 2018, followed by a year-on-year decrease. The centroid of the incidence rate shifts towards the northeast. From 2010 to 2022, the tuberculosis epidemic in Xinjiang exhibits a notable spatiotemporal clustering, particularly prominent in the southwestern region, where the four prefectures constitute high-risk areas for tuberculosis. The prevention and control efforts of tuberculosis in Xinjiang should prioritize the regions with high tuberculosis incidence, intensifying prevention and control measures as well as policy support.

Background The effects of meteorological factors and air pollutants on ischemic heart disease (IHD) hospitalizations in Urumqi have not been fully understood. Objective To investigate the effects of meteorological conditions (temperature, relative humidity) and common air pollutants [fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), ozone (O₃), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO)] on the daily hospitalization volume of IHD, and to provide a scientific basis for the development of targeted prevention and management strategies. Methods Basic information of 90622 IHD hospitalized patients in Urumqi City was collected from January 1, 2014 to December 31, 2022, and daily air pollutant concentration data and meteorological data were collected during the same period. The meteorological data included daily mean temperature, daily maximum temperature, daily minimum temperature, and daily mean relative humidity, and the common air pollutants included PM_2.5, PM₁₀, daily maximum 8-h average concentration of O₃ (O₃_8 h), SO₂, NO₂, and CO. Descriptive statistical analyses (mean, standard deviation, and quartiles) were performed on the collected data. A distribution lag nonlinear model (DLNM) based on time-stratified case-crossover design was established to estimate the lagged effects (RR) as well as the cumulative lagged effects (RR_cum) of daily mean temperature, relative humidity, and different air pollutants on the number of IHD admissions, stratified by gender and age (<60 and ≥60 years). Subsequently, a generalized additive model (GAM) was used to explore the effects of cold waves (≤ P₅ of the daily minimum temperature and lasting ≥3 d) versus heat waves (≥ P₉₅ of the daily maximum temperature and lasting ≥3 d) on IHD hospitalizations and the potential interactions between temperature and the more influential air pollutants [particulate matter (PM) and O₃_8 h] on IHD hospitalizations. Results The maximum number of IHD hospitalizations in a single day in Urumqi from January 1, 2014 to December 31, 2022 was 100, and the average daily number of hospitalized IHD patients was 27. Daily mean temperature, relative humidity, and air pollutants had different nonlinear relationships and hysteresis with IHD hospitalizations. Extremely low temperatures (<P₁: −18 °C) showed the greatest risk to admission for the total IHD population at a cumulative lag of 31 d (lag0-31) (RR_cum=2.092, 95%CI: 1.261,3.471). Female [lag0-31, RR_cum and 95%CI: 3.416 (2.296,5.082)] and people ≥60 years old [lag0-31, RR_cum and 95%CI: 2.356 (1.681,3.303)] were more sensitive to extremely low temperatures. The risk of IHD hospitalization was greatest on lag20 for cold waves (RR=1.242, 95%CI: 1.053, 1.465), and no lagged effect of heat waves on the number of IHD hospitalizations was found. There was a positive interaction (SI >1, P<0.001) between temperature, PM, and O₃_8 h on the risk of IHD hospitalization, especially for low temperature-high PM and O₃_8 h. Conclusion Both low temperature and high pollutant concentrations associate with an increase in IHD hospitalizations with lagged effects in Urumqi from 2014 to 2022, while cold waves associate with a higher risk of IHD admissions. Females and people aged 60 years and older are at high risk.

In March 2020, the outflow of age limited videos from ICU in Spain inspired us to rethink whether there is age discrimination in the allocation of scarce medical resources. This paper frist reflected on the problem of age discrimination caused by this phenomenon from four moral intuitions: the sacred view of life, the quality of life and values, public health ethics and Chinese culture, and then examined whether it is illegal from the legal level, finally pointed out the negative impact on the society, and put forward that taking age as the standard for the allocation of scarce medical resources is not suitable for China’s national conditions.

Background Air quality health index (AQHI) is derived from exposure-response coefficients calculated from air pollution and morbidity/mortality time series, which helps to understand the overall short-term health impacts of air pollution. Objective To study the effects of common air pollutants on respiratory diseases in Urumqi and to develop an AQHI for the risk of respiratory diseases in the city. Methods The daily outpatient volume data of respiratory diseases from The First Affiliated Hospital of Xinjiang Medical University, meteorological data (daily mean temperature and daily mean relative humidity), and air pollutants [fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon dioxide (CO), and ozone (O₃)] in Urumqi City, Xinjiang, China were collected from January 1, 2017 to December 31, 2021. A distributed lag nonlinear model based on quasi-Poisson distribution was constructed by time-stratified case crossover design. Adopting zero concentration of air pollutants as reference, the exposure-response coefficient (β value) was used to quantify the impact of included air pollutants on the risk of seeking medical treatment for respiratory diseases, and the AQHI was established. The association of between AQHI and the incidence of respiratory diseases and between air quality index (AQI) and the incidence of respiratory diseases was compared to evaluate the prediction effect of AQHI. Results Each 10 µg·m⁻³ increase in PM₁₀, SO₂, NO₂, and O₃ concentrations presented the highest excess risk of seeking outpatient services at 3 d cumulative lag (Lag03) and 2d cumulative lag (Lag02), with increased risks of morbidity of 0.687% (95%CI: 0.101%, 1.276%), 17.609% (95%CI: 3.253%, 33.961%), 13.344% (95%CI: 8.619%, 18.275%), and 4.921% (95%CI: 1.401%, 8.502%), respectively. There was no statistically significant PM_2.5 or CO lag effect. An AQHI was constructed based on a model containing PM₁₀, SO₂, NO₂, and O₃, and the results showed that the excess risk of respiratory disease consultation for the whole population, different genders, ages, or seasons for each inter-quartile range increase in the AQHI was higher than the corresponding value of AQI. Conclusion PM₁₀, SO₂, NO₂, and O₃ impact the number of outpatient visits for respiratory diseases in Urumqi, and the constructed AQHI for the risk of respiratory diseases in Urumqi outperforms the AQI in predicting the effect of air pollution on respiratory health.

Objective:To investigate the intelligence status of children aged 10 - 12 in rural areas of Linxia Hui Autonomous Prefecture (referred to as Linxia) in Gansu Province.Methods:From September to November 2019, a cross-sectional study was carried out to investigate the intelligence status of children aged 10 to 12 in 8 counties (cities) of Linxia. Chinese Raven's Progressive Matrices (rural version) was used for intelligence test and children's intelligence quotient (IQ) was calculated by regular mold to evaluate children's intelligence level.Results:A total of 1 721 children in Linxia were tested for intelligence, with an average IQ of 103.2. Among them, low intelligence (≤69) accounted for 1.0% (18/1 721), borderline (70 - 79) accounted for 3.0% (52/1 721), middle and lower (80 - 89) accounted for 8.4% (144/1 721), moderate (90 - 109) accounted for 56.6% (974/1 721), middle and upper (110 - 119) accounted for 21.9% (377/1 721), excellent (120 - 129) accounted for 7.8% (135/1 721), extremely excellent (≥130) accounted for 1.2% (21/1 721). There were 635, 598 and 488 children aged 10, 11 and 12, respectively, with an average IQ of 106.1, 103.3 and 99.2. There were 919 males and 802 females, with an average IQ of 102.9 and 103.4, respectively.Conclusion:In 2019, the intelligence of children aged 10 to 12 in rural areas of Linxia has reached the moderate level.