Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Cuproptosis, a recently discovered form of regulated cell death involving copper ion metabolism, has emerged as a promising approach for tumor therapy. This pathway not only directly eliminates tumor cells but also promotes immunogenic cell death (ICD), reshaping the tumor microenvironment (TME) and initiating robust anti-tumor immune responses. However, translating cuproptosis-based therapies into clinical applications is hindered by challenges, including complex metabolic regulation, TME heterogeneity, and the precision required for effective drug delivery. To address these limitations, nanoparticles offer transformative solutions by providing precise delivery of cuproptosis-inducing agents, controlled drug release, and enhanced therapeutic efficacy through simultaneous modulation of metabolic pathways and immune responses. This review systematically discusses recent advancements in nanoparticle-based cuproptosis delivery systems, highlighting nanoparticle design principles and their synergistic effects when integrated with other therapeutic modalities such as ICB, PTT, and CDT. Furthermore, we explore the potential of cuproptosis-based nanomedicine for personalized cancer treatment by emphasizing strategies for TME stratification and therapeutic optimization tailored to patient profiles. By integrating current insights from metabolic reprogramming, tumor immunotherapy, and nanotechnology, this review aims to facilitate the clinical translation of cuproptosis nanomedicine and significantly contribute to the advancement of precision oncology.

Objective:To systematically evaluate the risk prediction model for readmission in patients after percutaneous coronary intervention, and to provide reference for medical staff to apply or optimize relevant risk assessment tools.Methods:China National Knowledge Infrastructure, VIP, Wanfang Data, China Biomedical Literature Database, and Cochrane Library, PubMed, Embase, CINAHL, Scopus and Web of Science were searched for the related studies on readmission risk prediction models in patients with percutaneous coronary intervention from the establishment of the databases to April 25, 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies.Results:A total of eleven articles were included, involving sixteen readmission risk prediction models, with readmission rates ranging from 0.70% to 31.44% and the areas under subjects′working characteristic curves ranging from 0.604 to 0.899. Calibration methods were reported in ten models, five studies reported processing methods of missing data, and external validation was used in three studies. The overall risk of bias was higher. The top six predictors of repeated reports in the readmitted model were age, renal insufficiency, sex, congestive heart failure, diabetes and health insurance.Conclusions:The readmission risk prediction models had good predictive performance. However, the quality of the model methodology was limited. It is necessary to improve the research quality in data sources, measurement and definition of predictive factors, processing of missing data and model evaluation. In the future, data mining can be used to apply the readmission prediction model in the early stage of admission, so as to identify high-risk patients as early as possible and effectively prevent the occurrence of readmission.

Objective:To systematically evaluate the risk prediction model for readmission in patients after percutaneous coronary intervention, and to provide reference for medical staff to apply or optimize relevant risk assessment tools.Methods:China National Knowledge Infrastructure, VIP, Wanfang Data, China Biomedical Literature Database, and Cochrane Library, PubMed, Embase, CINAHL, Scopus and Web of Science were searched for the related studies on readmission risk prediction models in patients with percutaneous coronary intervention from the establishment of the databases to April 25, 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies.Results:A total of eleven articles were included, involving sixteen readmission risk prediction models, with readmission rates ranging from 0.70% to 31.44% and the areas under subjects′working characteristic curves ranging from 0.604 to 0.899. Calibration methods were reported in ten models, five studies reported processing methods of missing data, and external validation was used in three studies. The overall risk of bias was higher. The top six predictors of repeated reports in the readmitted model were age, renal insufficiency, sex, congestive heart failure, diabetes and health insurance.Conclusions:The readmission risk prediction models had good predictive performance. However, the quality of the model methodology was limited. It is necessary to improve the research quality in data sources, measurement and definition of predictive factors, processing of missing data and model evaluation. In the future, data mining can be used to apply the readmission prediction model in the early stage of admission, so as to identify high-risk patients as early as possible and effectively prevent the occurrence of readmission.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

With the acceleration of global industrialization, impact of environmental risk factors on Parkinson's disease (PD) is gradually increased, resulting in an upward trend in PD incidence. Trichloroethylene (TCE), a widely used organic solvent, has been gradually phased out, yet its persistent environmental contamination continues to pose health risks. In recent years, the relationship between TCE exposure and PD incidence has garnered increased attention. This article reviews the chemical properties of TCE, and relationship between TCE exposure and PD incidence and mechanism of trichloroethylene exposure in inducing PD incidence, in order to provide a new research perspective for management of environmental risk factors for PD.

Objective To explore the application low of stimulation parameters of transcutaneous electrical acupoint stimulation(TEAS)and transcranial direct current stimulation(tDCS)for post-stroke movement disorders based on data mining.Methods The relevant clinical research literature was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed and Web of Science from January 2000 to May 2023.A database was set up after quality assessment.Frequency analysis,association rules and complex network analysis were used to explore the application law of core acupoints and electrical stimulation parameters.Results A total of 79 articles were included and 128 groups of data were contained.For TEAS,the core acupoints included Waiguan(TE5),Shousanli(LI10),Zusanli(ST36),Hegu(LI4),Neiguan(PC6),Yanglingquan(GB34),etc.,while the most commonly used acupoint combinations of upper limb and lower limb were Shousanli(LI10)-Waiguan(TE5)and Yanglingquan(GB34)-Zusanli(ST36).Among the electrical stimulation parameters of TEAS,the frequencies used vary widely,and 100 Hz was most commonly used,while 2 Hz TEAS was also mainly used for stimulating acupoints located on upper limbs in the treatment of flaccid paralysis.The application of other electrical stimulation parameters was relatively consistent.The bidirectional symmetrical square-wave with 200-250 μs pulse-width was used in majority of studies.The stimulus intensity was mostly determined by patient tolerance.For tDCS,stimulation electrodes were often positioned on the projection of the primary M1,and the safe stimulus intensity was mostly set as 1 to 2 mA.Conclusion In the treatment of post-stroke movement disorders,appropriate acupoints and electrical stimulation parameters of TEAS should be determined on the muscle strength and muscle tension of stroke patients at different stages after stroke,particularly the selection of electric stimulating frequency.

Objective:To investigate the status quo of sexual function and marital adjustment of postpartum women and their spouses, so as to analyze the subject-object effects of sexual function and marital adjustment.Methods:This was a cross-sectional study. A total of 240 postpartum women and their spouses who gave birth in PLA Rocket Force Characteristic Medical Center from October 2022 to February 2023 were selected as the research objects by the convenient sampling method. The general data questionnaire, Female Sexual Function Index (FSFI), Male Sexual Function Index (MSFI) and Locke-Wallace Marital Adjustment Test were used to investigate them. Pearson correlation analysis and actor-partner interdependence model (APIM) were used to explore the relationship between sexual function and marital adjustment of postpartum women and their spouses.Results:In this study, 480 questionnaires were distributed to 240 couples, and 450 valid questionnaires were collected, with an effective recovery rate of 93.75% (450/480). The sexual function index score of 225 postpartum women was (24.89±4.97), and that of their spouses was (49.64±7.99). The marital adjustment scores of postpartum women was (96.42±22.64) and that of their spouses was (103.38±23.93). The results of APIM showed that the sexual function of postpartum women and their spouses could predict their own marital adjustment (β-values of 0.765 and 0.176, P<0.01). In terms of object effect, the sexual function of postpartum women could predict the marital adjustment of their spouses (β=0.632, P<0.01), but the sexual function of their spouses could not predict the marital adjustment of postpartum women ( P>0.05) . Conclusions:Postpartum women and their spouses have sexual dysfunction and marital disorder, their own sexual function is closely related to marital adjustment, and women's sexual function can also positively affect their spouses' marital adjustment. Medical staff should take postpartum women and their spouses as a whole to formulate intervention measures to promote the recovery of postpartum women's sexual function, balance family relations, enhance the satisfaction of sexual life between husband and wife and improve the level of marital adjustment.

With the acceleration of global industrialization, impact of environmental risk factors on Parkinson's disease (PD) is gradually increased, resulting in an upward trend in PD incidence. Trichloroethylene (TCE), a widely used organic solvent, has been gradually phased out, yet its persistent environmental contamination continues to pose health risks. In recent years, the relationship between TCE exposure and PD incidence has garnered increased attention. This article reviews the chemical properties of TCE, and relationship between TCE exposure and PD incidence and mechanism of trichloroethylene exposure in inducing PD incidence, in order to provide a new research perspective for management of environmental risk factors for PD.

Objective:To explore the status quo of palliative care needs of patients with end-stage heart failure, and analyze its influencing factors.Methods:This study was a cross-sectional study. From December 2019 to December 2020, convenience sampling was used to select 83 patients with end-stage heart failure in a Heart Failure Treatment Center of a Class Ⅲ Grade A hospital in Qingdao as the research object. The General Information Questionnaire and the Palliative Care Needs Scale for Patients with End-stage Heart Failure were used to investigate the patients. Multiple linear regression was used to analyze the influencing factors. A total of 83 questionnaires were distributed and 76 valid questionnaires were returned with the valid response rate of 91.57%.Results:Among 76 patients with end-stage heart failure, the total score of the Palliative Care Needs Scale for Patients with End-stage Heart Failure was (110.87±20.77) , of which the information needs dimension score (29.61±6.69) was the highest. The results of multiple linear regression analysis showed that the serum sodium concentration, the number of comorbidities, and the educational background were the influencing factors of the palliative care needs of patients with end-stage heart failure ( P<0.05) , which explained 30.6% of the total variation of the palliative care needs. Conclusions:Patients with end-stage heart failure have a high demand for palliative care. Nursing staff should provide personalized palliative care for patients with end-stage heart failure according to their own characteristics.