Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Objective To understand the surveillance situation of poliovirus in Guangzhou from 2011 to 2024, and to further strengthen polio surveillance and ensure the continued maintenance of a polio-free status. Methods An analysis was conducted on the discovery and investigation results of six cases of vaccine-derived poliovirus (VDPV) detected in Guangzhou. Results A total of 6 VDPV incidents were reported in Guangzhou from 2011 to June 2024, among which 5 incidents were from sewage sample testing in the Liede Sewage Treatment Plant in Guangzhou, all of which were confirmed as VDPV, with 1 for type I, 1 for type II, and 3 for type III. In addition, one confirmed HFMD case was identified as a type VDPV II carrier. No presence of any wild poliovirus (WPV), VDPV cases, or circulating VDPV (cVDPV) was reported. Conclusion Guangzhou City has maintained a high level of vigilance and effectiveness in the monitoring and prevention of polio. Continuously strengthening the construction of the polio monitoring network, optimizing vaccination strategies, and comprehensively improving public health awareness are still the focus of the prevention and control work in the future.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.

Objective Through reviewing the herbs,medical books and classic prescriptions of the past dynasties,the herbal examination of Gypsum fibrosum and its analogs was carried out to clarify the relationship between them.The qualitative analysis was carried out by single-point Raman,infrared,near infrared and XRD techniques,the quantitative analysis of the main components was carried out by EDTA titration and Raman surface scanning technique,the elemental analysis was carried out by ICP-OES,and the differences between gypsum and argillite were observed by scanning electron microscope.Results Gypsum fibrosum is mixed with marble,feldspar,north cold-water stone,south cold-water stone and xuanjing stone and so on.Before the Ming Dynasty,there was no differentiation between soft and anhydrite,and after the Ming Dynasty,it was clear that gypsum was soft gypsum and feldspar was anhydrite;in modern times,marble is also made to be gypsum for medicinal use;Feldspar is anhydrite and is no longer made to be used for medicinal use,north cold-water stone is red gypsum,and south cold-water stone is calcite.Gypsum,south coldwater stone is calcite.The peaks of argillite appeared to be buried in the Raman spectrum compared with Gypsum fibrosum,and the original profiles of both infrared and near-infrared were basically the same,and the near-infrared model established by the preprocessing method of the first-order derivatives plus vector normalization(5-point smoothing)could effectively differentiate between Gypsum fibrosum and its analogues,but it could not differentiate between argillite and Gypsum fibrosum with high content.XRD showed that there are differences in the relative intensities of the peaks of argillite and Gypsum fibrosum,and some XRD shows that there are differences in the relative intensities of the peaks of basalt and Gypsum fibrosum,and some of the peaks of basalt are characterized by impurities such as quartz,and the contents of trace elements such as Fe,Mn,Cr,Pb,Hg and As are higher in basalt.The peak shapes of XRD,Raman spectra,infrared spectra and near-infrared spectra of Gypsum fibrosum and calcined gypsum are closer but can still be distinguished,and the Ca content of calcined gypsum is higher than that of gypsum.Commercially available south chrysocolla and stalactite source are carbonate minerals calcite calcite.Spectral detection can not be distinguished,the trace element content is basically the same,but the traits are different.North chrysocolla(red gypsum)is higher than the Fe content of commercially available white gypsum.Raman surface scanning not only can be a qualitative and quantitative determination of minerals such as gypsum and other minerals,and the results of the content of the titration is basically similar,but also to determine the state of Gypsum fibrosum and calcined gypsum calcined water loss status and the degree of calcined gypsum.The results of Raman surface scanning are similar to the titration results.Conclusion This study can provide a scientific basis for the traceability of Gypsum fibrosum,and can better guide the clinical use of medicine and the rational use of resources.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.

Objective Through reviewing the herbs,medical books and classic prescriptions of the past dynasties,the herbal examination of Gypsum fibrosum and its analogs was carried out to clarify the relationship between them.The qualitative analysis was carried out by single-point Raman,infrared,near infrared and XRD techniques,the quantitative analysis of the main components was carried out by EDTA titration and Raman surface scanning technique,the elemental analysis was carried out by ICP-OES,and the differences between gypsum and argillite were observed by scanning electron microscope.Results Gypsum fibrosum is mixed with marble,feldspar,north cold-water stone,south cold-water stone and xuanjing stone and so on.Before the Ming Dynasty,there was no differentiation between soft and anhydrite,and after the Ming Dynasty,it was clear that gypsum was soft gypsum and feldspar was anhydrite;in modern times,marble is also made to be gypsum for medicinal use;Feldspar is anhydrite and is no longer made to be used for medicinal use,north cold-water stone is red gypsum,and south cold-water stone is calcite.Gypsum,south coldwater stone is calcite.The peaks of argillite appeared to be buried in the Raman spectrum compared with Gypsum fibrosum,and the original profiles of both infrared and near-infrared were basically the same,and the near-infrared model established by the preprocessing method of the first-order derivatives plus vector normalization(5-point smoothing)could effectively differentiate between Gypsum fibrosum and its analogues,but it could not differentiate between argillite and Gypsum fibrosum with high content.XRD showed that there are differences in the relative intensities of the peaks of argillite and Gypsum fibrosum,and some XRD shows that there are differences in the relative intensities of the peaks of basalt and Gypsum fibrosum,and some of the peaks of basalt are characterized by impurities such as quartz,and the contents of trace elements such as Fe,Mn,Cr,Pb,Hg and As are higher in basalt.The peak shapes of XRD,Raman spectra,infrared spectra and near-infrared spectra of Gypsum fibrosum and calcined gypsum are closer but can still be distinguished,and the Ca content of calcined gypsum is higher than that of gypsum.Commercially available south chrysocolla and stalactite source are carbonate minerals calcite calcite.Spectral detection can not be distinguished,the trace element content is basically the same,but the traits are different.North chrysocolla(red gypsum)is higher than the Fe content of commercially available white gypsum.Raman surface scanning not only can be a qualitative and quantitative determination of minerals such as gypsum and other minerals,and the results of the content of the titration is basically similar,but also to determine the state of Gypsum fibrosum and calcined gypsum calcined water loss status and the degree of calcined gypsum.The results of Raman surface scanning are similar to the titration results.Conclusion This study can provide a scientific basis for the traceability of Gypsum fibrosum,and can better guide the clinical use of medicine and the rational use of resources.