Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

ObjectiveTo develop a self-assessment tool for medical professionalism （MP）， by comprehensively combing domestic and international definitions of the concept of MP and the core elements of MP， and based on several rounds of expert consultation and China’s medical realities. MethodsAn assessment scale of MP was developed using 1，626 valid physician survey data from 128 medical institutions of all levels in one province. ResultsThe scale of MP consisted of five factors， including patient-centered， integrity and sense of responsibility， altruism， fair and equitable distribution of limited resources， and pursuit of excellence. After testing， the scale has good reliability and validity. ConclusionThe self-evaluation tool of MP provides an effective means for fostering， assessing， and evaluating MP in practice， and has a certain degree of generalizability.

Purpose: This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research. Methods: PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated. Results: Twenty-eight studies were included in this review. The Memorial Symptom Assessment Scale emerged as the predominant instrument and exploratory factor analysis was the most frequently employed statistical method to identify symptom clusters. Psychological, gastrointestinal, and physical image symptom clusters were the most commonly delineated. Furthermore, the temporal stability of the symptom clusters showed varying dynamics, with psychological symptom clusters displaying relative consistency over time. Conclusion Interventions are needed for the most common and stable symptoms in patients with cancer undergoing chemotherapy. Future endeavors may necessitate more longitudinal studies to delve deeper into the temporal stability and dynamic variations of symptom clusters. Such investigations hold promise for advancing symptom cluster research, elucidating the underlying mechanisms, and fostering the development of targeted interventions, thereby enriching the symptom management paradigm in oncological care.

Objective To investigate the influence of individual factors and labor organization factors on work-related musculoskeletal disorders (WMSDs) in automobile manufacturing workers, and to provide a scientific basis for the prevention and treatment of WMSDs in automobile manufacturing workers. Methods In April 2020, 5564 workers in an automobile factory were selected by cluster sampling method. The prevalence of WMSDs was investigated by using the Musculoskeletal Disorders Questionnaire, and the influence of individual factors and labor organization factors on WMSDs was investigated by using generalized estimation equation. Results The prevalence rate of WMSDs was 79.00% (4396/5564), and the prevalence rate of multisite WMSDs was 67.95% (3781/5564). The analysis of generalized estimation equation showed that doing the same job every day (OR= 1.478, P < 0.05), age ≥40 years (OR=1.416, P< 0.05), personnel shortage (OR= 1.356, P < 0.05), and work length of 6～10 years and 11～15 years (OR= 1.349, P< 0.05) were the main risk factors for WMSDs in automobile manufacturing workers. Shift work and working time > 40 hours per week increased the risk of WMSDs (P< 0.05). Male and adequate rest time were protective factors for WMSDs. The job correlation matrix showed that WMSDs in most parts had a positive correlation. Conclusions The prevalence of multisite WMSDs of workers in automobile manufacturing industry is high, and unreasonable labor organization is the main risk factor of WMSDs. Appropriate work breaks can effectively reduce the risk of WMSDs, and effective intervention measures should be carried out to prevent the occurrence of WMSDs in workers in automobile manufacturing industry. The generalized estimation equation can better analyze the influencing factors of WMSDs.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Purpose: This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research. Methods: PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated. Results: Twenty-eight studies were included in this review. The Memorial Symptom Assessment Scale emerged as the predominant instrument and exploratory factor analysis was the most frequently employed statistical method to identify symptom clusters. Psychological, gastrointestinal, and physical image symptom clusters were the most commonly delineated. Furthermore, the temporal stability of the symptom clusters showed varying dynamics, with psychological symptom clusters displaying relative consistency over time. Conclusion Interventions are needed for the most common and stable symptoms in patients with cancer undergoing chemotherapy. Future endeavors may necessitate more longitudinal studies to delve deeper into the temporal stability and dynamic variations of symptom clusters. Such investigations hold promise for advancing symptom cluster research, elucidating the underlying mechanisms, and fostering the development of targeted interventions, thereby enriching the symptom management paradigm in oncological care.

Purpose: This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research. Methods: PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated. Results: Twenty-eight studies were included in this review. The Memorial Symptom Assessment Scale emerged as the predominant instrument and exploratory factor analysis was the most frequently employed statistical method to identify symptom clusters. Psychological, gastrointestinal, and physical image symptom clusters were the most commonly delineated. Furthermore, the temporal stability of the symptom clusters showed varying dynamics, with psychological symptom clusters displaying relative consistency over time. Conclusion Interventions are needed for the most common and stable symptoms in patients with cancer undergoing chemotherapy. Future endeavors may necessitate more longitudinal studies to delve deeper into the temporal stability and dynamic variations of symptom clusters. Such investigations hold promise for advancing symptom cluster research, elucidating the underlying mechanisms, and fostering the development of targeted interventions, thereby enriching the symptom management paradigm in oncological care.

Purpose: This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research. Methods: PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated. Results: Twenty-eight studies were included in this review. The Memorial Symptom Assessment Scale emerged as the predominant instrument and exploratory factor analysis was the most frequently employed statistical method to identify symptom clusters. Psychological, gastrointestinal, and physical image symptom clusters were the most commonly delineated. Furthermore, the temporal stability of the symptom clusters showed varying dynamics, with psychological symptom clusters displaying relative consistency over time. Conclusion Interventions are needed for the most common and stable symptoms in patients with cancer undergoing chemotherapy. Future endeavors may necessitate more longitudinal studies to delve deeper into the temporal stability and dynamic variations of symptom clusters. Such investigations hold promise for advancing symptom cluster research, elucidating the underlying mechanisms, and fostering the development of targeted interventions, thereby enriching the symptom management paradigm in oncological care.

A UPLC-Q-Orbitrap-MS based metabolomic approach combined with biochemical assay and histopathological inspection were employed to study the intervention effects of Suanzaoren Decoction (SZRD) on chronic unpredictable mild stress (CUMS) depression rats, and to clarify the metabolic regulation pathway of SZRD. The rats were randomly divided into normal control group, CUMS model group, positive drug venlafaxine group, SZRD high (24 g·kg^-1) and low (12 g·kg^-1) dose groups, respectively. The CUMS model was replicated by subjecting to a variety of stimulus, such as thermal stimulation, ice water swimming, ultrasonic stimulation, tail clamping, day and night reversal, plantar electric shock and so on for rats. After oral administration of drugs for 28 days, the behavioral indexes of rats in each group were observed and the hippocampus and serum samples of rats were collected for biochemical assay and histopathological inspection. Compared with the CUMS model group, low dose and high dose SZRD groups can significantly reduce the immobility time of forced swimming (P < 0.001, P < 0.001), increase the sucrose preference rate (P < 0.01, P < 0.05), the number of crossings (P < 0.05, P < 0.01) and the number of uprights (P < 0.05, P < 0.01) in the open field test, suggesting that SZRD can significantly improve the depression-like behavior of CUMS model rats. In addition, SZRD could significantly reduce the levels of serum IL-6, IL-1β and TNF-α of CUMS model rats. A total of 21 differential metabolites in serum were identified by comparison with the data from the literature and databases. In addition, low-dose SZRD and high-dose SZRD improved the 8 and 11 perturbed potential serum biomarkers that were induced by CUMS, respectively, which related to alanine, aspartic acid and glutamic acid, tryptophan and arachidonic acid metabolism. This study provides a scientific basis for expanding the clinical indications of SZRD. This experiment was approved by the Animal Ethics Committee of Shanxi University (Approval No. SXULL2020028).

This study explored toxicity attenuation processing technology of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction for the first time, and further explored its detoxification mechanism. Nine processed products of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction were prepared by orthogonal experiment with three factors and three levels. Based on the decrease in the content of the main hepatotoxic component diosbulbin B before and after processing of Rhizoma Dioscoreae Bulbiferae by high-performance liquid chromatography, the toxicity attenuation technology was preliminarily screened out. On this basis, the raw and representative processed products of Rhizoma Dioscoreae Bulbiferae were given to mice by gavage with 2 g·kg~(-1)(equival to clinical equivalent dose) for 21 d. The serum and liver tissues were collected after the last administration for 24 h. The serum biochemical indexes reflecting liver function and liver histopathology were combined to further screen out and verify the proces-sing technology. Then, the lipid peroxidation and antioxidant indexes of liver tissue were detected by kit method, and the expressions of NADPH quinone oxidoreductase 1(NQO1) and glutamate-cysteine ligase(GCLM) in mice liver were detected by Western blot to further explore detoxification mechanism. The results showed that the processed products of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction reduced the content of diosbulbin B and improved the liver injury induced by Rhizoma Dioscoreae Bul-biferae to varying degrees, and the processing technology of A_2B_2C_3 reduced the excessive levels of alanine transaminase(ALT) and aspartate transaminase(AST) induced by raw Rhizoma Dioscoreae Bulbiferae by 50.2% and 42.4%, respectively(P<0.01, P<0.01). The processed products of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction reversed the decrease protein expression levels of NQO1 and GCLM in the liver of mice induced by raw Rhizoma Dioscoreae Bulbiferae to varying degrees(P<0.05 or P<0.01), and it also reversed the increasing level of malondialdehyde(MDA) and the decreasing levels of glutathione(GSH), glutathione peroxidase(GPX), and glutathione S-transferase(GST) in the liver of mice(P<0.05 or P<0.01). In summary, this study shows that the optimal toxicity attenuation processing technology of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction is A_2B_2C_3, that is, 10% of Paeoniae Radix Alba decoction is used for moistening Rhizoma Dioscoreae Bulbiferae and processed at 130 ℃ for 11 min. The detoxification mechanism involves enhancing the expression levels of NQO1 and GCLM antio-xidant proteins and related antioxidant enzymes in the liver.
Mice ; Animals ; Antioxidants/analysis* ; Plant Extracts/pharmacology* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Paeonia/chemistry* ; Glutathione/analysis*