Objective:To investigate the application and effect of a competency-oriented teaching model in standardized nutritional diagnosis and treatment training for clinical physicians.Methods:A blended teaching method combining online and offline lectures was used to teach core knowledge and skills of clinical nutrition among clinical physicians by implementing a step-by-step "popularization-strengthening-deepening" strategy. The number of nutritional consultations, the improvement in nutritional diagnosis and treatment among clinical physicians, and the degree of satisfaction after training were used as assessment indices.Results:Compared with the data in 2021, the number of annual nutritional consultations was increased by 21.41% in 2022 and 53.18% in 2023. A total of 281 clinical physicians received online deepening course training, among whom 237 (84.34%) completed the online clinical nutrition knowledge test, with a mean score of (86.17±5.48) points and a pass rate of 81.86% (194/237). The online training received a satisfaction rate of 80.39%.Conclusions:The training program designed with competency-based objectives, systematic content, and diverse methodologies can significantly enhance the standardized thinking and capabilities of clinical physicians in nutritional diagnosis and treatment.

Objective:To present the epidemiological characteristics of ≤28 days case fatality in both hemorrhagic stroke (HS) and ischemic stroke (IS) patients in national cardiovascular disease surveillance areas from 2015 to 2019.Methods:Data on all new patients with stroke and ≤28 days outcomes from 2015 to 2019 were from the China Registry of Cardiovascular Events, which was established in 2014, covering 100 counties (cities, districts) in 31 provinces in China. Poisson regression was used to analyze the annual trend of ≤28 days case fatality. The age-standardized case fatality was directly calculated based on all new stroke onset.Results:In total, 112 069 deaths in HS patients ≤28 days after the onset, as well as 94 373 in IS patients, were identified during the study period. In 2019, the ≤28 days case fatality rate in HS patients was 4.75 times that of IS patients (37.08% vs. 7.80%), as well as that 4.06 times in urban areas (30.13% vs. 7.43%) and 5.30 times in rural areas (42.63% vs. 8.05%), respectively. Thus, in rural areas, HS patients showed 41.49% higher ≤28 days case fatality rate than that in urban areas, as well as 8.34% higher in IS patients. Those ≤28 days case fatality in both stroke subtypes onset increased with age and reached the highest level in those aged 85 years and over. During the study period, HS and IS patients in each age group displayed significant decrease trend in ≤28 days case fatality rate (trend P<0.001). Compared with that in 2015, the age-standardized ≤28 days case-fatality in HS patients in 2019 decreased by 28.52%, which was more in urban areas (-34.27%) than that in rural areas (-23.19%). Meanwhile, IS patients experienced a 39.90% reduction in ≤28 days case fatality, which was much lower in urban areas (-31.62%) than in rural areas (-45.10%, all trend P<0.001). Conclusions:From 2015 to 2019, ≤28 days case fatality in both HS and IS patients decreased in China. Wide variations of ≤28 days case-fatality were evident in the level and trend in stroke subtype, age of patients, as well as urban and rural areas. More precise and comprehensive strategies for stroke prevention, treatment, and post-stroke management are urgently required in China.

Objective:To analyze the characteristics and changes in incidence and mortality of ischemic and hemorrhagic stroke among Chinese residents from 2015 to 2019.Methods:The incidence and mortality data of ischemic and hemorrhagic stroke from 2015 to 2019 were collected from the China Registry of Cardiovascular Events (China RACE), which was established in 2014 and covered 100 counties (cities and districts) in 31 provinces in China. The age-standardized incidence rate (ASIR) was calculated using the Seventh National Census data as the standard population. The ratio of the incidence rate of ischemic stroke to hemorrhagic stroke was calculated. The subtype-specific mortality-to-incidence ratio (M/I) was calculated by the ratio of the number of deaths to the reported incidence cases. The relative ratio (RR) of M/I for ischemic to hemorrhagic stroke was calculated. The Joinpoint model was used to analyze the annual percentage change (APC) and trend of the incidence rate of stroke.Results:From 2015 to 2019, a total of 1 354 614 new stroke cases were reported, including 1 077 244 (79.52%) ischemic stroke and 277 370 (20.48%) hemorrhagic stroke cases, respectively. A total of 248 620 stroke deaths were reported, including 119 819 (48.19%) ischemic stroke deaths and 128 801 (51.81%) hemorrhagic stroke deaths. The incidence ratio of ischemic/hemorrhagic stroke from 2015 to 2019 was 3.50∶1, 3.76∶1, 3.63∶1, 4.23∶1, and 4.35∶1, respectively. From 2015 to 2019, there was no statistically significant annual trend of ASIR of ischemic stroke in overall, urban and rural areas and males ( Ptrend>0.05), while there was a downward trend in females (APC=-1.02%, Ptrend=0.042). The incidence of hemorrhagic stroke in the whole population, rural areas, males and females showed a downward trend ( Ptrend<0.05). Patients aged 45-49 years had an upward trend in the incidence rate of ischemic stroke (APC=3.82%, Ptrend=0.011), while those aged 70-74 years (APC=-7.37%, Ptrend=0.034), 80-84 years (APC=-9.75%, Ptrend=0.001) and 85 years and over (APC=-11.22%, Ptrend=0.017) presented a downward trend in the incidence of hemorrhagic stroke. During the period, the overall relative ratio of M/I (RR) for ischemic to hemorrhagic stroke was 4.2∶1, which was lower in urban than in rural areas (3.8 vs. 4.3). The largest gap between urban and rural areas was in the 55-59 age group (6.8 vs. 9.3). Conclusion:The incidence and mortality of ischemic and hemorrhagic stroke among Chinese residents are severe from 2015 to 2019, and there are regional and population differences.

Objective:To present the epidemiological characteristics of ≤28 days case fatality in both hemorrhagic stroke (HS) and ischemic stroke (IS) patients in national cardiovascular disease surveillance areas from 2015 to 2019.Methods:Data on all new patients with stroke and ≤28 days outcomes from 2015 to 2019 were from the China Registry of Cardiovascular Events, which was established in 2014, covering 100 counties (cities, districts) in 31 provinces in China. Poisson regression was used to analyze the annual trend of ≤28 days case fatality. The age-standardized case fatality was directly calculated based on all new stroke onset.Results:In total, 112 069 deaths in HS patients ≤28 days after the onset, as well as 94 373 in IS patients, were identified during the study period. In 2019, the ≤28 days case fatality rate in HS patients was 4.75 times that of IS patients (37.08% vs. 7.80%), as well as that 4.06 times in urban areas (30.13% vs. 7.43%) and 5.30 times in rural areas (42.63% vs. 8.05%), respectively. Thus, in rural areas, HS patients showed 41.49% higher ≤28 days case fatality rate than that in urban areas, as well as 8.34% higher in IS patients. Those ≤28 days case fatality in both stroke subtypes onset increased with age and reached the highest level in those aged 85 years and over. During the study period, HS and IS patients in each age group displayed significant decrease trend in ≤28 days case fatality rate (trend P<0.001). Compared with that in 2015, the age-standardized ≤28 days case-fatality in HS patients in 2019 decreased by 28.52%, which was more in urban areas (-34.27%) than that in rural areas (-23.19%). Meanwhile, IS patients experienced a 39.90% reduction in ≤28 days case fatality, which was much lower in urban areas (-31.62%) than in rural areas (-45.10%, all trend P<0.001). Conclusions:From 2015 to 2019, ≤28 days case fatality in both HS and IS patients decreased in China. Wide variations of ≤28 days case-fatality were evident in the level and trend in stroke subtype, age of patients, as well as urban and rural areas. More precise and comprehensive strategies for stroke prevention, treatment, and post-stroke management are urgently required in China.

Objective:To analyze the characteristics and changes in incidence and mortality of ischemic and hemorrhagic stroke among Chinese residents from 2015 to 2019.Methods:The incidence and mortality data of ischemic and hemorrhagic stroke from 2015 to 2019 were collected from the China Registry of Cardiovascular Events (China RACE), which was established in 2014 and covered 100 counties (cities and districts) in 31 provinces in China. The age-standardized incidence rate (ASIR) was calculated using the Seventh National Census data as the standard population. The ratio of the incidence rate of ischemic stroke to hemorrhagic stroke was calculated. The subtype-specific mortality-to-incidence ratio (M/I) was calculated by the ratio of the number of deaths to the reported incidence cases. The relative ratio (RR) of M/I for ischemic to hemorrhagic stroke was calculated. The Joinpoint model was used to analyze the annual percentage change (APC) and trend of the incidence rate of stroke.Results:From 2015 to 2019, a total of 1 354 614 new stroke cases were reported, including 1 077 244 (79.52%) ischemic stroke and 277 370 (20.48%) hemorrhagic stroke cases, respectively. A total of 248 620 stroke deaths were reported, including 119 819 (48.19%) ischemic stroke deaths and 128 801 (51.81%) hemorrhagic stroke deaths. The incidence ratio of ischemic/hemorrhagic stroke from 2015 to 2019 was 3.50∶1, 3.76∶1, 3.63∶1, 4.23∶1, and 4.35∶1, respectively. From 2015 to 2019, there was no statistically significant annual trend of ASIR of ischemic stroke in overall, urban and rural areas and males ( Ptrend>0.05), while there was a downward trend in females (APC=-1.02%, Ptrend=0.042). The incidence of hemorrhagic stroke in the whole population, rural areas, males and females showed a downward trend ( Ptrend<0.05). Patients aged 45-49 years had an upward trend in the incidence rate of ischemic stroke (APC=3.82%, Ptrend=0.011), while those aged 70-74 years (APC=-7.37%, Ptrend=0.034), 80-84 years (APC=-9.75%, Ptrend=0.001) and 85 years and over (APC=-11.22%, Ptrend=0.017) presented a downward trend in the incidence of hemorrhagic stroke. During the period, the overall relative ratio of M/I (RR) for ischemic to hemorrhagic stroke was 4.2∶1, which was lower in urban than in rural areas (3.8 vs. 4.3). The largest gap between urban and rural areas was in the 55-59 age group (6.8 vs. 9.3). Conclusion:The incidence and mortality of ischemic and hemorrhagic stroke among Chinese residents are severe from 2015 to 2019, and there are regional and population differences.

Objective To explore the development trajectory and root cause of kinesiophobia in patients with diabetic peripheral neuropathy.Methods By the convenience sampling method,240 diabetic peripheral neuropathy patients who were hospitalized in the Department of Endocrinology of a tertiary A hospital in Jiangsu Province from May 2022 to November 2022 were selected.The baseline data of the patients are collected using a general questionnaire,the Tampa Scale for Kinesiophobia,the Chinese version of the Multidimensional Fatigue Inventory-20,the Pittsburgh Sleep Quality Index,the Social Support Rate Scale,and the Numerical Rating Scale for Pain.At the time of discharge,and at 3,6,and 12 months post-discharge,the level of kinesiophobia in the patients is assessed.The growth mixture model was used to classify the trajectory of kinesiophobia and analyze its root causes.Results Ultimately,227 patients in this study completed the survey.The trajectories of kinesiophobia in patients with diabetic peripheral neuropathy were divided into 3 latent classes:persistent high kinesiophobia group(22.5％),moderate kinesiophobia decline group(44.9％)and persistent low kinesiophobia group(32.6％).The results of multivariate Logistic regression analysis showed that age,frequency of hypoglycemia,complications,sleep quality,fall history within a year,pain and fatigue score were influencing factors of the latent classes of kinesiophobia trajectories in patients with DPN(P＜0.05).Conclusion Within 12 months after discharge,the kinesiophobia of patients with diabetic peripheral neuropathy shows population heterogeneity.Medical staff should give targeted interventions according to the developmental trajectories of kinesiophobia and root cause analysis.

Objective To explore the development trajectory and root cause of kinesiophobia in patients with diabetic peripheral neuropathy.Methods By the convenience sampling method,240 diabetic peripheral neuropathy patients who were hospitalized in the Department of Endocrinology of a tertiary A hospital in Jiangsu Province from May 2022 to November 2022 were selected.The baseline data of the patients are collected using a general questionnaire,the Tampa Scale for Kinesiophobia,the Chinese version of the Multidimensional Fatigue Inventory-20,the Pittsburgh Sleep Quality Index,the Social Support Rate Scale,and the Numerical Rating Scale for Pain.At the time of discharge,and at 3,6,and 12 months post-discharge,the level of kinesiophobia in the patients is assessed.The growth mixture model was used to classify the trajectory of kinesiophobia and analyze its root causes.Results Ultimately,227 patients in this study completed the survey.The trajectories of kinesiophobia in patients with diabetic peripheral neuropathy were divided into 3 latent classes:persistent high kinesiophobia group(22.5％),moderate kinesiophobia decline group(44.9％)and persistent low kinesiophobia group(32.6％).The results of multivariate Logistic regression analysis showed that age,frequency of hypoglycemia,complications,sleep quality,fall history within a year,pain and fatigue score were influencing factors of the latent classes of kinesiophobia trajectories in patients with DPN(P＜0.05).Conclusion Within 12 months after discharge,the kinesiophobia of patients with diabetic peripheral neuropathy shows population heterogeneity.Medical staff should give targeted interventions according to the developmental trajectories of kinesiophobia and root cause analysis.

Objective:To investigate the application and effect of a competency-oriented teaching model in standardized nutritional diagnosis and treatment training for clinical physicians.Methods:A blended teaching method combining online and offline lectures was used to teach core knowledge and skills of clinical nutrition among clinical physicians by implementing a step-by-step "popularization-strengthening-deepening" strategy. The number of nutritional consultations, the improvement in nutritional diagnosis and treatment among clinical physicians, and the degree of satisfaction after training were used as assessment indices.Results:Compared with the data in 2021, the number of annual nutritional consultations was increased by 21.41% in 2022 and 53.18% in 2023. A total of 281 clinical physicians received online deepening course training, among whom 237 (84.34%) completed the online clinical nutrition knowledge test, with a mean score of (86.17±5.48) points and a pass rate of 81.86% (194/237). The online training received a satisfaction rate of 80.39%.Conclusions:The training program designed with competency-based objectives, systematic content, and diverse methodologies can significantly enhance the standardized thinking and capabilities of clinical physicians in nutritional diagnosis and treatment.

Objective To explore the potential categories of fatigue trajectory in patients with diabetic peripheral neuropathy and analyze the influencing factors.Methods Convenience sampling method was used to select 426 patients with diabetic peripheral neuropathy who were hospitalized in a tertiary hospital in Jiangsu Province from April 2022 to April 2023.General information and disease related data of the patients were collected,and the Chinese version of Multi-dimensional Fatigue Scale,Pittsburgh Sleep Quality Index Scale,Social support Rating Scale,pain number rating scale and Tampa scale of kinetophobia were used to investigate at discharge(T1).The Chinese version of multi-dimensional fatigue scale was used to investigate 3 months after discharge(T2),6 months after discharge(T3),and 12 months after discharge(T4).A mixed growth model was used to identify the potential categories of fatigue trajectory and logistic regression were employed to analyze the influencing factors of fatigue.Results 414 patients finished the study.Three categories of fatigue trajectory in the patients with diabetic peripheral neuropathy were identified:significantly increasing group(19.6%),slowly increasing group(47.8%),and decreasing group(32.6%).Logistic regression analysis showed that age,sleep,social support,number of comorbidities,body mass index(BMI),pain and fear of exercise were the factors influencing the potential categories of fatigue trajectory in the DPN patients.Conclusions There are three potential categories of fatigue trajectories in DPN patients.Age,sleep disorders,social support,comorbidities,BMI,pain score,and exercise fear were influencing factors of fatigue in patients with DPN.