Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

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 explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

To analyze the clinical data of patients with recurrent Clostridioides difficile infection(rCDI)in the southwestern region,and help clinicians identify high-risk populations early and adopt appropriate treatment strate-gies.Methods Clinical data of rCDI cases from a tertiary first-class hospital in southwest China from July 2019 to June 2024 were collected,and their host-related risk factors,exogenous risk factors,treatment schemes,and end-point outcomes were analyzed.Results In the past five years,a total of 26 cases of rCDI were detected from a ter-tiary first-class hospital in southwest China,accounting for 4.04％of the total positive cases(n=643)detected during the same period.19.23％of the recurrent patients experienced a second recurrence.The median age of rCDI patients was 66.5 years old,with males accounting for 73.08％.The major comorbidity included diabetes mellitus(34.62％),malignant tumors(30.77％),and chronic renal diseases(23.08％).In the 8 weeks before the first on-set of rCDI in patients,the top three drugs used were β-lactam and enzyme inhibitor compound(69.23％),proton pump inhibitors(65.38％),and carbapenems(46.15％).In the initial treatment of recurrent patients,3.85％(1/26)of the cases were treated with metronidazole,19.23％(5/26)of the cases received non-standard vancomy-cin/norvancomycin treatment in usage or dosage,46.15％(12/26)of the cases received treatment with course less than 10 days.In the treatment of the first recurrence,34.78％(8/26)of the cases received treatment with course less than 10 days.Conclusion For elderly patients and patients with diabetes mellitus,malignant tumors,and chronic renal diseases,who have used β-lactam and enzyme inhibitor compound,proton pump inhibitors,carbapene-ms within 8 weeks before disease onset,standard dose and treatment course of vancomycin or norvancomycin are recommended under permitted conditions,so as to reduce the risk of recurrence.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

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 explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

To analyze the clinical data of patients with recurrent Clostridioides difficile infection(rCDI)in the southwestern region,and help clinicians identify high-risk populations early and adopt appropriate treatment strate-gies.Methods Clinical data of rCDI cases from a tertiary first-class hospital in southwest China from July 2019 to June 2024 were collected,and their host-related risk factors,exogenous risk factors,treatment schemes,and end-point outcomes were analyzed.Results In the past five years,a total of 26 cases of rCDI were detected from a ter-tiary first-class hospital in southwest China,accounting for 4.04％of the total positive cases(n=643)detected during the same period.19.23％of the recurrent patients experienced a second recurrence.The median age of rCDI patients was 66.5 years old,with males accounting for 73.08％.The major comorbidity included diabetes mellitus(34.62％),malignant tumors(30.77％),and chronic renal diseases(23.08％).In the 8 weeks before the first on-set of rCDI in patients,the top three drugs used were β-lactam and enzyme inhibitor compound(69.23％),proton pump inhibitors(65.38％),and carbapenems(46.15％).In the initial treatment of recurrent patients,3.85％(1/26)of the cases were treated with metronidazole,19.23％(5/26)of the cases received non-standard vancomy-cin/norvancomycin treatment in usage or dosage,46.15％(12/26)of the cases received treatment with course less than 10 days.In the treatment of the first recurrence,34.78％(8/26)of the cases received treatment with course less than 10 days.Conclusion For elderly patients and patients with diabetes mellitus,malignant tumors,and chronic renal diseases,who have used β-lactam and enzyme inhibitor compound,proton pump inhibitors,carbapene-ms within 8 weeks before disease onset,standard dose and treatment course of vancomycin or norvancomycin are recommended under permitted conditions,so as to reduce the risk of recurrence.

Objective To explore the impact of sluggish cognitive tempo(SCT)on the efficacy of atomoxetine in the treatment of attention-deficit/hyperactivity disorder(ADHD).Methods A prospective study was conducted.Pediatric patients aged 6-12 years with a diagnosis of ADHD were selected from the Department of Psychiatry,Xijing Hospital,Air Force Military Medical University from May 2020 to May 2023.All the patients were treated with atomoxetine for 8 weeks.ADHD symptoms and SCT symptoms were assessed by Swanson,Nolan,and Pelham-Ⅳrating scale(SNAP-Ⅳ)and SCT rating scale at baseline(before treatment),4 weeks and 8 weeks after treatment.Pearson correlation analysis was used to analyze the correlation between SCT and SNAP-Ⅳscores.Results A total of 61 pediatric patients were enrolled,including 10 cases of inattentive type and 51 cases of mixed type.Baseline SCT score was positively correlated with baseline SNAP-Ⅳscore(r=0.490,P＜0.001)and reduction rate of SNAP-Ⅳscore at week 8(r=0.670,P＜0.001).The total SCT score at week 8 was positively correlated with total SNAP-Ⅳscore at baseline(r=0.320,P=0.012).The baseline SCT score of patients with mixed type was positively correlated with reduction rate of SNAP-Ⅳscore at week 8(r=0.578,P＜0.001).Conclusions The severity of SCT symptoms is positively correlated with the SNAP-Ⅳreduction rate 8 weeks after atomoxetine treatment,which could be a predictor of the efficacy of atomoxetine.