Obesity increases the risk of numerous chronic diseases,and differentiating metabolically healthy or unhealthy obesity is crucial for understanding the complexity of obesity.With the application of various imaging techniques and artificial intelligence(AI),analysis of body composition became more precise.The progresses in imaging accurate evaluation on body composition characteristics for different obesity metabolic phenotype were reviewed in this article.

Objective To identify the multi-dimensional needs of symptom management for oral cancer patients based on the journey map,and provide references for optimizing the symptom management of oral cancer patients.Methods From September 2023 to March 2024,the purposive sampling was used to select 15 perioperative oral cancer patients from a tertiary A general hospital in Zhengzhou for semi-structured interviews.The content analysis method was used to analyze the data and create a patient journey map.Results According to the time axis of diagnosis and treatment,the symptom management of patients with oral cancer was subdivided into 22 themes including identifying abnormal symptoms,clarifying diagnosis,anxiety,fear and uncertainty,guilt,high-risk behavioral inertia solidification,diagnostic trust crisis and so on from 3 dimensions of task,emotion,and pain point,and a journey map was formed.Conclusion The journey of symptom management for patients with oral cancer is long and complex,and the needs of patients'physiological and psychological symptom management are dynamically changing.In the future,the digital intelligence of big data technology can be combined to achieve whole-process,personalized and precise symptom management to improve the quality of life of oral cancer patients.

Objective:To apply data mining and bibliometric methods to collect and analyze literatures related to the uPMR 790 integrated positron emission tomography/magnetic resonance imaging(PET/MRI)of the United Imaging Healthcare(UIH)and assess its output effects in clinical research and application,continued research and development,performance improvement,technology assessment,healthcare technology management,and other aspects.Methods:To conduct literature searches on data platforms such as China National Knowledge Infrastructure(CNKI),WanFang Data Knowledge Service Platform(WANFANG DATA),Wanfang Medical Network(WANFANG MED ONLINE),Chinese Medical Association Journal Database(Yiigle),NIH/PubMed,etc.Based on literature review,to implement bibliometric analysis and evaluate from several technological output dimensions.Results:134 sample literatures were obtained.Among them,there are 121 journal articles,10 dissertations(1 doctoral dissertation and 9 master's theses),3 case reports from the Chinese Medical Case Repository,59 of foreign language journals,and 101 articles sourced from uPMR 790 users as the first author affiliation.Engineering and technical personnel from UIH participated in 58 journal articles;89 clinical research articles,accounting for 66.42%of the sample literatures,15 engineering research and artificial intelligence(AI)research articles,accounting for 11.19%,15 technology assessment articles,accounting for 11.19%,4 healthcare technology management articles,1 experimental research article,and 10 reviews.In addition,33 related patent technologies were retrieved from UIH and its cooperative institutions,as well as UIH PET/MRI equipment users,including 20 invention patents,13 utility model patents.Conclusion:The research results show that the innovative medical equipment,the uPMR 790 PET/MRI,has definite technological outputs in clinical research and application,providing important and widely data of evidence-based medicine for clinical application promotion.It also map out the effective support of this innovative medical equipment for multidisciplinary clinical research such as medical imaging,neurology,cardiovascular and cerebrovascular diseases,geriatrics,pediatrics,etc.Driven by the model of medical-engineering integration and synergy mechanism,display multidimensional output effects such as continuous research and development,quality improvement,technology assessment,configuration management,and healthcare technology management.UIH actively participates in researchs and follows up on innovative practices in medical-engineering integration,demonstrating a positive attitude as a leading medical equipment enterprise.Real world research will provide evidence support for the application demonstration and promotion for equipment manufactured by Chinese medical equipment enterprises.

Objective To observe the impact factors of obesity(Ob)complicated with type 2 diabetes mellitus(T2DM).Methods Twenty Ob patients complicated with T2DM(group A)and 47 simple Ob patients(group B)were retrospectively enrolled.The blood glucose related indicators,including fasting blood glucose(FBG),fasting insulin(FINS)and glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),as well as fat quantitative parameters measured with dual-energy X-ray absorptiometry,CT or MRI were compared between groups,their correlations were analyzed,and the impact factors of Ob complicated with T2DM were explored.Results FBG,HbA1c and HOMA-IR in group A were all higher,while the total body fat mass percentage(TFM%)and leg fat mass percentage(LFM%)in group A were both lower than those in group B(all P＜0.05).Proton density fat fraction(PDFF)of liver and lumbar bone marrow in group A were both higher than those in group B(both P＜0.05).TFM%and LFM%in all 67 Ob patients were negatively correlated with FBG or HbA1c,while TFM%and Android region fat mass percentage(Android FM%)were both negatively correlated with HOMA-IR(r=-0.447—-0.263,all P＜0.05).For all 67 Ob patients,the area of visceral adipose tissue(VAT)was positively correlated with HOMA-IR(r=0.339,P=0.006),liver PDFF was positively correlated with FBG,HbA1c and HOMA-IR,and PDFF of lumbar bone marrow was positively correlated with FBG(r=0.323-0.599,all P＜0.05).Elevated LFM%was a protective factor,while elevated PDFF of liver and pancreas were both risk factors of Ob complicated with T2DM(all P＜0.05).Conclusion LFM%and liver PDFF were both impact factors of Ob complicated with T2DM.

Objective To observe the impact factors of obesity(Ob)complicated with type 2 diabetes mellitus(T2DM).Methods Twenty Ob patients complicated with T2DM(group A)and 47 simple Ob patients(group B)were retrospectively enrolled.The blood glucose related indicators,including fasting blood glucose(FBG),fasting insulin(FINS)and glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),as well as fat quantitative parameters measured with dual-energy X-ray absorptiometry,CT or MRI were compared between groups,their correlations were analyzed,and the impact factors of Ob complicated with T2DM were explored.Results FBG,HbA1c and HOMA-IR in group A were all higher,while the total body fat mass percentage(TFM%)and leg fat mass percentage(LFM%)in group A were both lower than those in group B(all P＜0.05).Proton density fat fraction(PDFF)of liver and lumbar bone marrow in group A were both higher than those in group B(both P＜0.05).TFM%and LFM%in all 67 Ob patients were negatively correlated with FBG or HbA1c,while TFM%and Android region fat mass percentage(Android FM%)were both negatively correlated with HOMA-IR(r=-0.447—-0.263,all P＜0.05).For all 67 Ob patients,the area of visceral adipose tissue(VAT)was positively correlated with HOMA-IR(r=0.339,P=0.006),liver PDFF was positively correlated with FBG,HbA1c and HOMA-IR,and PDFF of lumbar bone marrow was positively correlated with FBG(r=0.323-0.599,all P＜0.05).Elevated LFM%was a protective factor,while elevated PDFF of liver and pancreas were both risk factors of Ob complicated with T2DM(all P＜0.05).Conclusion LFM%and liver PDFF were both impact factors of Ob complicated with T2DM.

Obesity increases the risk of numerous chronic diseases,and differentiating metabolically healthy or unhealthy obesity is crucial for understanding the complexity of obesity.With the application of various imaging techniques and artificial intelligence(AI),analysis of body composition became more precise.The progresses in imaging accurate evaluation on body composition characteristics for different obesity metabolic phenotype were reviewed in this article.

Objective To investigate the prevalence of comorbidity of oral frailty and sarcopenia in elderly inpatients,and to explore their influencing factors,so as to provide a basis for formulating targeted interventions for patients with oral frailty and sarcopenia.Methods A total of 515 elderly patients hospitalized in 3 tertiary hospitals in Zhengzhou City and 1 second-class hospital in Shangqiu City from January 2024 to April 2024 were selected as the research subjects by convenience sampling,and the general information questionnaire,Oral Frailty Index-8,Sarcopenia Screen Questionnaire,Mini Nutritional Assessment Short Form,Social Support Rating Scale and Hospital Anxiety and Depression Scale(HADS)were used for investigation.Logistic regression was used to analyze the influencing factors of oral frailty and sarcopenia comorbidities in elderly inpatients.Results 508 valid questionnaires were collected.The prevalence of sarcopenia and oral frailty in elderly inpatients was 22.8％,and age,dysphagia,number of chronic diseases,and history of hypertension or stroke,multiple drug use,depression,bad nutrition and low level of social support were the risk factors(P＜0.05).Conclusion The incidence of oral frailty combined with sarcopenia was higher in elderly hospitalized patients.Nurses should take nursing measures according to its influencing factors to prevent and control the development of oral frailty combined with sarcopenia.

Objective To investigate the prevalence of comorbidity of oral frailty and sarcopenia in elderly inpatients,and to explore their influencing factors,so as to provide a basis for formulating targeted interventions for patients with oral frailty and sarcopenia.Methods A total of 515 elderly patients hospitalized in 3 tertiary hospitals in Zhengzhou City and 1 second-class hospital in Shangqiu City from January 2024 to April 2024 were selected as the research subjects by convenience sampling,and the general information questionnaire,Oral Frailty Index-8,Sarcopenia Screen Questionnaire,Mini Nutritional Assessment Short Form,Social Support Rating Scale and Hospital Anxiety and Depression Scale(HADS)were used for investigation.Logistic regression was used to analyze the influencing factors of oral frailty and sarcopenia comorbidities in elderly inpatients.Results 508 valid questionnaires were collected.The prevalence of sarcopenia and oral frailty in elderly inpatients was 22.8％,and age,dysphagia,number of chronic diseases,and history of hypertension or stroke,multiple drug use,depression,bad nutrition and low level of social support were the risk factors(P＜0.05).Conclusion The incidence of oral frailty combined with sarcopenia was higher in elderly hospitalized patients.Nurses should take nursing measures according to its influencing factors to prevent and control the development of oral frailty combined with sarcopenia.

Objective To identify the multi-dimensional needs of symptom management for oral cancer patients based on the journey map,and provide references for optimizing the symptom management of oral cancer patients.Methods From September 2023 to March 2024,the purposive sampling was used to select 15 perioperative oral cancer patients from a tertiary A general hospital in Zhengzhou for semi-structured interviews.The content analysis method was used to analyze the data and create a patient journey map.Results According to the time axis of diagnosis and treatment,the symptom management of patients with oral cancer was subdivided into 22 themes including identifying abnormal symptoms,clarifying diagnosis,anxiety,fear and uncertainty,guilt,high-risk behavioral inertia solidification,diagnostic trust crisis and so on from 3 dimensions of task,emotion,and pain point,and a journey map was formed.Conclusion The journey of symptom management for patients with oral cancer is long and complex,and the needs of patients'physiological and psychological symptom management are dynamically changing.In the future,the digital intelligence of big data technology can be combined to achieve whole-process,personalized and precise symptom management to improve the quality of life of oral cancer patients.

Objective:To apply data mining and bibliometric methods to collect and analyze literatures related to the uPMR 790 integrated positron emission tomography/magnetic resonance imaging(PET/MRI)of the United Imaging Healthcare(UIH)and assess its output effects in clinical research and application,continued research and development,performance improvement,technology assessment,healthcare technology management,and other aspects.Methods:To conduct literature searches on data platforms such as China National Knowledge Infrastructure(CNKI),WanFang Data Knowledge Service Platform(WANFANG DATA),Wanfang Medical Network(WANFANG MED ONLINE),Chinese Medical Association Journal Database(Yiigle),NIH/PubMed,etc.Based on literature review,to implement bibliometric analysis and evaluate from several technological output dimensions.Results:134 sample literatures were obtained.Among them,there are 121 journal articles,10 dissertations(1 doctoral dissertation and 9 master's theses),3 case reports from the Chinese Medical Case Repository,59 of foreign language journals,and 101 articles sourced from uPMR 790 users as the first author affiliation.Engineering and technical personnel from UIH participated in 58 journal articles;89 clinical research articles,accounting for 66.42%of the sample literatures,15 engineering research and artificial intelligence(AI)research articles,accounting for 11.19%,15 technology assessment articles,accounting for 11.19%,4 healthcare technology management articles,1 experimental research article,and 10 reviews.In addition,33 related patent technologies were retrieved from UIH and its cooperative institutions,as well as UIH PET/MRI equipment users,including 20 invention patents,13 utility model patents.Conclusion:The research results show that the innovative medical equipment,the uPMR 790 PET/MRI,has definite technological outputs in clinical research and application,providing important and widely data of evidence-based medicine for clinical application promotion.It also map out the effective support of this innovative medical equipment for multidisciplinary clinical research such as medical imaging,neurology,cardiovascular and cerebrovascular diseases,geriatrics,pediatrics,etc.Driven by the model of medical-engineering integration and synergy mechanism,display multidimensional output effects such as continuous research and development,quality improvement,technology assessment,configuration management,and healthcare technology management.UIH actively participates in researchs and follows up on innovative practices in medical-engineering integration,demonstrating a positive attitude as a leading medical equipment enterprise.Real world research will provide evidence support for the application demonstration and promotion for equipment manufactured by Chinese medical equipment enterprises.