Objective:To investigate predictive value of dynamic electrocardiogram heart rate variability(HRV)combined with three-dimensional spot tracking echocardiography(3D-STE)for postoperatively major adverse cardiovascular events(MACE)in patients with coronary heart disease(CHD).Methods:The clinical data of 80 CHD patients,who underwent percutaneous coronary intervention(PCI)treatment at Beijing Rehabilitation Hospital affiliated with Capital Medical University from January 2022 to December 2023,were retrospectively collected.All patients underwent dynamic electrocardiogram HRV and 3D-STE examination before surgery,and 1-year follow-up.The condition of occurring MACE during the follow-up period was analyzed as statistical method,and the patients were divided into occurrence group(21 cases)and non-occurrence group(59 cases).The relevant parameters of dynamic electrocardiogram HRV and 3D-STE examination of occurring MACE of CHD patients between two groups were compared,and the predictive value of dynamic electrocardiogram HRV combined with 3D-STE examination for postoperative MACE of CHD patients was analyzed.Results:In 80 CHD patients,21 cases occurred postoperative MACE,with an incidence rate of 26.25%.The standard deviation of the average NN intervals(SDANN)(65.26±9.65)ms of 5-minute sinus,the standard deviation of normal-to-normal intervals index(SDNN Index)(40.15±6.36)ms of 5-minute in continuous 24 hours,the root mean square of successive differences(r-MSSD)(36.86±4.55)ms between the normal adjacent cardiac cycles,the left atrial emptying fraction(LAEF)(40.25±4.53)%,and the left atrial storage phase strain(LASr)(15.24±3.62)%in CHD patients with MACE were lower than those without MACE[(87.45±10.22)ms,(52.45±7.85)ms,(46.54±6.25)ms,(48.54±6.33)ms,(19.99±4.55)%],and the left atrial pre-contraction volume(LAVp)(42.51±3.65)ml was higher than that(35.18±2.99)mL in patients without MACE,with statistically significant differences(t=8.666,6.457,6.499,9.093,5.510,4.317,P<0.05).Logistic regression analysis showed that SDANN,SDNN Index,r-MSSD,LAVp,LAEF,LASr were correlations with the occurrence of postoperative MACE in CHD patients(OR=0.756,0.772,0.694,2.481,0.721,0.739,P<0.05).The receiver operating characteristics(ROC)curves indicated that the area under curve(AUC)values of SDANN,SDNN Index,r-MSSD,LAVp,LAEF and LASr were all greater than 0.70 in predicting postoperative MACE in CHD patients,which indicated all of them had predictive value,and the predictive value of the combined detection was higher.Conclusion:Dynamic electrocardiogram HRV and 3D-STE parameters have a certain predictive value for the occurrence of postoperative MACE in CHD patients,and the predictive value of the combined detection for the them are higher.Therefore,dynamic electrocardiogram HRV and 3D-STE parameters can be used as one of the important reference schemes of assessing postoperative MACE of patients.

Objective:To investigate the acute effects of persistent high exposure to atmospheric fine particulate matter (PM 2.5) on residents' outpatient visits for respiratory diseases. Methods:We collected daily outpatient records from 92 hospitals in 13 cities across the Beijing-Tianjin-Hebei region, along with daily PM 2.5, nitrogen dioxide (NO 2), and meteorological data from 2013 to 2018. Five persistent high PM 2.5 exposure scenarios were defined in terms of daily mean PM 2.5 concentrations (>75 μg/m 3 and >150 μg/m 3), duration (≥2 days and ≥3 days), and whether or not there was concurrent exposure to high levels of NO 2 (daily mean NO 2 concentration >50 μg/m 3). A two-stage statistical analysis strategy based on a generalized linear model was applied to conduct a time-series analysis to assess the exposure-response relationship between persistent high PM 2.5 exposure scenarios and residents' outpatient visits for a variety of respiratory diseases, and to estimate excess outpatient visits. Results:During the period, M ( Q1, Q3) PM 2.5 and NO 2 concentrations were 61.2 (42.3, 95.1) μg/m 3 and 40.2 (31.4, 54.4) μg/m 3, respectively, and the daily respiratory disease outpatient visits were 57 (52, 66) cases. When compared with non-permanent high PM 2.5 exposure periods, exposure scenarios with PM 2.5 >75 μg/m 3 and lasting for ≥2 days caused an increased risk of outpatient visits for respiratory diseases by 2.10% (95% CI: 1.44%-2.77%), and resulted in 43 787 (95% CI: 30 025-57 757) excess visits; in this scenario, the concurrent exposure to high levels of NO 2 had a greater acute effect on respiratory disease visits than the absence of exposure to high levels of NO 2 ( P<0.001). The risk of respiratory disease visits increased substantially by 4.41% (95% CI: 3.15%-5.68%) when the daily mean PM 2.5 concentration exceeded 150 μg/m 3 for ≥2 days. Subgroup disease analyses showed that scenarios with daily mean PM 2.5 concentrations exceeding 75 μg/m 3 for ≥3 days caused a significant increase in the risk of lower respiratory tract infections, chronic lower respiratory disease, and asthma visits. Conclusions:Sustained persistent high PM 2.5 exposure increases the risk of outpatient visits for various respiratory diseases; concurrent exposure to high concentrations of NO 2 leads to a greater risk of visiting the clinic, suggesting that the prevention and control of PM 2.5 pollution should be synchronized with the control of mobile source emissions, to synergistically manage the compound pollution of PM 2.5 and NO 2 in the atmosphere.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective:To assess the effect of short-term exposures to atmospheric fine particulate matter (PM 2.5) and its components on cognitive function in middle-aged and older people aged 40-89 and identify key components that affect cognitive function. Methods:From October 2018 to March 2019, a cross-sectional survey of middle-aged and older people aged 40-89 was conducted across 10 cities in Beijing-Tianjin-Hebei and neighboring regions of China. Data on PM 2.5 and its components were collected from the nearest air supermonitoring stations to the residential addresses. The cognitive function was assessed using the Min-Mental State Examination (MMSE) scale. Multiple linear regression models were used to assess the effect of short-term exposures to PM 2.5 and its components on cognitive function in middle-aged and older people. The restricted cubic spline function was used to fit the exposure-response relationship between different components and changes in MMSE scores. Results:The age of the 1 978 respondents was (65.1±13.4) years, and 976 (49.34%) were males. During the study period, the daily mean concentration of PM 2.5 was (71.2±43.2) μg/m 3, and the MMSE score was (28.2±3.7). The results of the multiple linear regression model showed that short-term exposures to PM 2.5 and its components were associated with cognitive decline in middle-aged and older people after adjusting for confounding factors, and the effect was higher at lag 0-28 days. For an interquartile range (64.3 μg/m 3) increase in PM 2.5 at lag 0-28 d, the MMSE score decreased by 5.91 (95% CI: 0.04, 11.77). For an interquartile range increase in organic carbon (OC), antimony (Sb), chromium (Cr), zinc (Zn), tin (Sn), and cadmium (Cd), the MMSE scores of middle-aged and older people decreased by 5.71 (95% CI: 1.69, 9.73), 4.67 (95% CI: 2.50, 6.84), 4.49 (95% CI: 1.05, 7.92), 3.65 (95% CI: 0.89, 6.42), 2.76 (95% CI: 1.22, 4.30), and 1.72 (95% CI: 0.53, 2.92). Conclusions:Short-term exposures to atmospheric PM 2.5 and its components (OC, Sb, Cr, Zn, Sn, and Cd) are associated with cognitive decline in middle-aged and older people.

Objective:To investigate the acute effects of persistent high exposure to atmospheric fine particulate matter (PM 2.5) on residents' outpatient visits for respiratory diseases. Methods:We collected daily outpatient records from 92 hospitals in 13 cities across the Beijing-Tianjin-Hebei region, along with daily PM 2.5, nitrogen dioxide (NO 2), and meteorological data from 2013 to 2018. Five persistent high PM 2.5 exposure scenarios were defined in terms of daily mean PM 2.5 concentrations (>75 μg/m 3 and >150 μg/m 3), duration (≥2 days and ≥3 days), and whether or not there was concurrent exposure to high levels of NO 2 (daily mean NO 2 concentration >50 μg/m 3). A two-stage statistical analysis strategy based on a generalized linear model was applied to conduct a time-series analysis to assess the exposure-response relationship between persistent high PM 2.5 exposure scenarios and residents' outpatient visits for a variety of respiratory diseases, and to estimate excess outpatient visits. Results:During the period, M ( Q1, Q3) PM 2.5 and NO 2 concentrations were 61.2 (42.3, 95.1) μg/m 3 and 40.2 (31.4, 54.4) μg/m 3, respectively, and the daily respiratory disease outpatient visits were 57 (52, 66) cases. When compared with non-permanent high PM 2.5 exposure periods, exposure scenarios with PM 2.5 >75 μg/m 3 and lasting for ≥2 days caused an increased risk of outpatient visits for respiratory diseases by 2.10% (95% CI: 1.44%-2.77%), and resulted in 43 787 (95% CI: 30 025-57 757) excess visits; in this scenario, the concurrent exposure to high levels of NO 2 had a greater acute effect on respiratory disease visits than the absence of exposure to high levels of NO 2 ( P<0.001). The risk of respiratory disease visits increased substantially by 4.41% (95% CI: 3.15%-5.68%) when the daily mean PM 2.5 concentration exceeded 150 μg/m 3 for ≥2 days. Subgroup disease analyses showed that scenarios with daily mean PM 2.5 concentrations exceeding 75 μg/m 3 for ≥3 days caused a significant increase in the risk of lower respiratory tract infections, chronic lower respiratory disease, and asthma visits. Conclusions:Sustained persistent high PM 2.5 exposure increases the risk of outpatient visits for various respiratory diseases; concurrent exposure to high concentrations of NO 2 leads to a greater risk of visiting the clinic, suggesting that the prevention and control of PM 2.5 pollution should be synchronized with the control of mobile source emissions, to synergistically manage the compound pollution of PM 2.5 and NO 2 in the atmosphere.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective:To assess the effect of short-term exposures to atmospheric fine particulate matter (PM 2.5) and its components on cognitive function in middle-aged and older people aged 40-89 and identify key components that affect cognitive function. Methods:From October 2018 to March 2019, a cross-sectional survey of middle-aged and older people aged 40-89 was conducted across 10 cities in Beijing-Tianjin-Hebei and neighboring regions of China. Data on PM 2.5 and its components were collected from the nearest air supermonitoring stations to the residential addresses. The cognitive function was assessed using the Min-Mental State Examination (MMSE) scale. Multiple linear regression models were used to assess the effect of short-term exposures to PM 2.5 and its components on cognitive function in middle-aged and older people. The restricted cubic spline function was used to fit the exposure-response relationship between different components and changes in MMSE scores. Results:The age of the 1 978 respondents was (65.1±13.4) years, and 976 (49.34%) were males. During the study period, the daily mean concentration of PM 2.5 was (71.2±43.2) μg/m 3, and the MMSE score was (28.2±3.7). The results of the multiple linear regression model showed that short-term exposures to PM 2.5 and its components were associated with cognitive decline in middle-aged and older people after adjusting for confounding factors, and the effect was higher at lag 0-28 days. For an interquartile range (64.3 μg/m 3) increase in PM 2.5 at lag 0-28 d, the MMSE score decreased by 5.91 (95% CI: 0.04, 11.77). For an interquartile range increase in organic carbon (OC), antimony (Sb), chromium (Cr), zinc (Zn), tin (Sn), and cadmium (Cd), the MMSE scores of middle-aged and older people decreased by 5.71 (95% CI: 1.69, 9.73), 4.67 (95% CI: 2.50, 6.84), 4.49 (95% CI: 1.05, 7.92), 3.65 (95% CI: 0.89, 6.42), 2.76 (95% CI: 1.22, 4.30), and 1.72 (95% CI: 0.53, 2.92). Conclusions:Short-term exposures to atmospheric PM 2.5 and its components (OC, Sb, Cr, Zn, Sn, and Cd) are associated with cognitive decline in middle-aged and older people.

Objective:To investigate predictive value of dynamic electrocardiogram heart rate variability(HRV)combined with three-dimensional spot tracking echocardiography(3D-STE)for postoperatively major adverse cardiovascular events(MACE)in patients with coronary heart disease(CHD).Methods:The clinical data of 80 CHD patients,who underwent percutaneous coronary intervention(PCI)treatment at Beijing Rehabilitation Hospital affiliated with Capital Medical University from January 2022 to December 2023,were retrospectively collected.All patients underwent dynamic electrocardiogram HRV and 3D-STE examination before surgery,and 1-year follow-up.The condition of occurring MACE during the follow-up period was analyzed as statistical method,and the patients were divided into occurrence group(21 cases)and non-occurrence group(59 cases).The relevant parameters of dynamic electrocardiogram HRV and 3D-STE examination of occurring MACE of CHD patients between two groups were compared,and the predictive value of dynamic electrocardiogram HRV combined with 3D-STE examination for postoperative MACE of CHD patients was analyzed.Results:In 80 CHD patients,21 cases occurred postoperative MACE,with an incidence rate of 26.25%.The standard deviation of the average NN intervals(SDANN)(65.26±9.65)ms of 5-minute sinus,the standard deviation of normal-to-normal intervals index(SDNN Index)(40.15±6.36)ms of 5-minute in continuous 24 hours,the root mean square of successive differences(r-MSSD)(36.86±4.55)ms between the normal adjacent cardiac cycles,the left atrial emptying fraction(LAEF)(40.25±4.53)%,and the left atrial storage phase strain(LASr)(15.24±3.62)%in CHD patients with MACE were lower than those without MACE[(87.45±10.22)ms,(52.45±7.85)ms,(46.54±6.25)ms,(48.54±6.33)ms,(19.99±4.55)%],and the left atrial pre-contraction volume(LAVp)(42.51±3.65)ml was higher than that(35.18±2.99)mL in patients without MACE,with statistically significant differences(t=8.666,6.457,6.499,9.093,5.510,4.317,P<0.05).Logistic regression analysis showed that SDANN,SDNN Index,r-MSSD,LAVp,LAEF,LASr were correlations with the occurrence of postoperative MACE in CHD patients(OR=0.756,0.772,0.694,2.481,0.721,0.739,P<0.05).The receiver operating characteristics(ROC)curves indicated that the area under curve(AUC)values of SDANN,SDNN Index,r-MSSD,LAVp,LAEF and LASr were all greater than 0.70 in predicting postoperative MACE in CHD patients,which indicated all of them had predictive value,and the predictive value of the combined detection was higher.Conclusion:Dynamic electrocardiogram HRV and 3D-STE parameters have a certain predictive value for the occurrence of postoperative MACE in CHD patients,and the predictive value of the combined detection for the them are higher.Therefore,dynamic electrocardiogram HRV and 3D-STE parameters can be used as one of the important reference schemes of assessing postoperative MACE of patients.

Objective To explore the current status of medication literacy among urban elderly patients with chronic diseases in Anhui Province,aiming to reveal the factors influencing their medication literacy,and to propose targeted measures for improvement.Methods This research involved 381 participants aged 60 and above.It was conducted in Anhui province between December,2022 and January,2023,with data collected through face-to-face interviews by pharmacists.Single-factor analysis and ordinal multi-class logistic regression analysis were conducted to determine factors affecting medication literacy.Results Medication literacy cognition and medication literacy behavior were rated as good among urban older adults in Anhui province of the 294 valid questionnaires.Those who did not understood package insert exhibited significantly lower medication literacy behavior than those who fully understood[estimate=-1.224,95%CI=(-2.130,-0.317),P<0.01].Elderly patients with chronic diseases faced issues such as an inability to read or understand drug instructions in the investigation.90.48%of elderly patients with chronic diseases never heard or seldom heard of medication guidance services.Conclusion Medication literacy among urban elderly patients with chronic diseases is generally good in Anhui province.The ability to understood drug instructions significantly influenced the medication literacy of urban elderly patients with chronic diseases.Modifying the drug instructions to meet the reading needs of the elderly patients with chronic diseases and developing pharmaceutical care could effectively enhance rational drug use among this demographic.

Objective:To explore the application potential of 18F-Asp-Glu-val-Asp (DEVD)-Cys(StBu)-PPG(CBT)-AmBF 3 ( 18F-1; PPG: propargyl-glycine; CBT: 2-cyanobenzothiazole; AmBF 3: ammoniomethyl-trifluoroborate) PET imaging in early monitoring of triple-negative breast cancer (TNBC) radiotherapy response. Methods:Ten MDA-MB-231 tumor bearing nude mice models were constructed and divided into radiotherapy group ( n=5) and non-radiotherapy group ( n=5) by random sampling method. The radiotherapy group was treated with single irradiation at a dose of 8 Gy. 18F-1 microPET imaging was performed in the radiotherapy and non-radiotherapy groups, and the tumor uptake and muscle uptake in 2 groups at different time points (2.5, 7.5, 12.5, 17.5, 22.5, 27.5, 32.5, 37.5, 42.5, 47.5, 52.5, 57.5 min after injection) were analyzed. The specific uptake of the probe in apoptotic cells was verified by radioautography, HE staining and immunofluorescent staining. Repeated measures analysis of variance and one-way analysis of variance were used to analyze data. Results:18F-1 microPET imaging showed that there was significant difference between tumor uptake and muscle uptake in radiotherapy group ( F=20.27, P=0.011). The uptake of radiotherapy group was the highest at 7.5 min after injection ((4.64±0.35) percentage activity of injection dose per gram of tissue(%ID/g)). There was no significant difference between tumor uptake and muscle uptake in the non-radiotherapy group ( F=1.81, P=0.215). The tumor/muscle (T/M) ratio of radiotherapy group was higher than that of non-radiotherapy group ( F=31.95, P=0.005), with the highest at 47.5 min after injection (2.49±0.46). Radioautography showed that the tumor radioactivity in radiotherapy group was higher than that of muscle in radiotherapy group, and was also higher than tumor and muscle radioactivies in non-radiotherapy group ( F=116.79, P<0.001). HE staining and immunofluorescent staining verified that 18F-1 could specifically detect the activity of caspase-3 activated in tumor cells after radiotherapy. Conclusion:18F-1 can specifically recognize the activated caspase-3 after TNBC radiotherapy, and monitor radiotherapy response at the molecular level by apoptosis PET imaging.