Work serves as a critical means of obtaining resources, facilitating personal growth, realizing self-worth, and engaging in social interactions. However, work-related diseases pose significant threats to workers’ health and productivity, and impose considerable economic burdens. This article categorized work-related diseases into six major types, including musculoskeletal disorders, mental and behavioral disorders, cardiovascular and metabolic diseases, digestive system diseases, reproductive system diseases, and non-specific respiratory diseases, and summarized their risk factors, assessment methods, policy regulation, and prevention and control measures. Current research in this field predominantly relies on cross-sectional studies, which present limitations in causal inference and potential risks of bias. Future studies should expand sample sizes, optimize research designs, and establish multidimensional evaluation systems to comprehensively assess the health and economic impacts of work-related diseases. It is recommended to enhance the translation of research findings into practice, thereby providing a scientific basis for the occupational health protection system and promoting the well-being and sustainable development of the working population.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

Objective:To investigate the impact of early invasive arterial blood pressure (IBP) monitoring on survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:This retrospective cohort study analyzed 44 OHCA patients receiving ECPR between January 2021 and January 2023. Patients were divided into: Early intervention group : IBP established within 3 min of ECMO initiation; Late intervention group : IBP established after ICU admission. Baseline characteristics, ECMO parameters, and clinical outcomes were compared. Multivariable logistic regression (adjusted for age, initial rhythm, etc.) and Spearman's correlation were used.Results:This study included a total of 44 patients treated with OHCA and ECPR, divided into an early intervention group of 23 cases and a late intervention group of 21 cases. The early intervention group showed significantly higher: Survival to discharge (43.5% vs. 9.5%, P<0.05), Good neurological recovery (CPC 1-2: 34.8% vs. 9.5%, P<0.05).Early intervention independently predicted survival (adjusted OR=18.84, 95% CI:1.97-179.98, P=0.01). Stratified analysis by pH (cutoff 7.0) demonstrated consistent benefits in both pH>7.0 ( aOR=0.392, 95% CI:0.106-0.678) and pH≤7.0 subgroups ( aOR=0.385, 95% CI: 0.075-0.695; interaction P=0.183). Early IBP positively correlated with CPC scores ( ρ=0.40, P=0.007). Conclusions:Early IBP monitoring significantly improves survival and neurological outcomes in OHCA-ECPR patients, supporting its integration into standardized protocols.

Objective To investigate the effectiveness of an evidence-based continuity of care intervention program for patients with dental implant restorations.Methods Dental implant restoration patients attending the implantology department of a tertiary dental specialty hospital in Yunnan Province from May 2024 to December 2024 were selected,and 64 eligible subjects were randomly assigned to the experimental group and the control group using the convenience sampling method,with 32 patients in each group.The control group received a routine care program for oral implant restorations,while the experimental group received an evidence-based continuity of care intervention program.The self-efficacy,medical compliance,and periodontal condition of dental implant restoration patients within 6 months after wearing dentures were compared between the two groups.Results After 6 months of intervention,the oral health self-efficacy,medical compliance,and periodontal condition(including Modified Sulcus Bleeding Index(mSBI),Modified Plaque Index(mPLI),and Probing Depth(PD))of the patients in the experimental group were superior to those in the control group,and the differences were statistically significant(P<0.05).Conclusion An evidence-based continuity of care intervention program for patients with dental implant restorations can effectively improve their oral health care self-efficacy level and medical compliance,reduce the periodontal bleeding,decrease the plaque buildup,and improve the periodontal status.

Objective:To explore the diagnostic value of combining Ki67, molecular subtyping, and ultrasonographic parameters in predicting axillary lymph node metastasis in breast cancer.Methods:200 breast cancer patients who were admitted to Meizhou People’s Hospital from Jan. 2020 to Dec. 2022 were collected. Based on the presence or absence of axillary lymph node metastasis in breast cancer, the patients were divided into an axillary lymph node metastasis group and a non-axillary lymph node metastasis group. Age, clinical stage, tumor location, tumor size, degree of differentiation, boundary, blood flow, echo, calcification, morphology, vascular invasion, Ki67, molecular typing, resistance index (RI) , shear wave velocity were collected. Multivariate Logistic regression analysis was used to screen the risk factors for axillary lymph node metastasis of breast cancer, and receiver operating characteristic curve (ROC) was used to evaluate the clinical value of ki67, molecular typing combined with ultrasound parameters in the diagnosis of axillary lymph node metastasis of breast cancer.Results:There were no statistically significant differences in age, clinical stage, tumor location, tumor size, differentiation degree, boundary, blood flow, echo or calcification between the axillary lymph node metastasis group and the non-axillary lymph node metastasis group ( t=0.80, χ20.13, χ2=0.14, χ2=0.90, χ2=0.64, χ2=1.03, χ2=0.04, χ2=0.34, χ2=1.2, P>0.05) , while there were statistically significant differences in morphology, vascular invasion, Ki67, molecular classification, RI and shear wave velocity between the two groups ( χ2=12.01, χ2=8.75, χ2=11.36, χ2=11.43, t=6.34, t=7.25, P<0.05) . Multivariate Logistic regression analysis showed that vascular invasion, Ki67 high expression, triple negative breast cancer, RI and shear wave velocity were all risk factors for axillary lymph node metastasis ( OR=5.572,4.026,3.632,107.639,1.936, P<0.05) . ROC curve analysis results showed that the AUC of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was 0.620, 0.594, 0.744 and 0.792, respectively, and the AUC of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was 0.846. The AUC of the combination of Ki67, molecular typing, RI and shear wave velocity in the diagnosis of axillary lymph node metastasis of breast cancer was higher than that of Ki67, molecular typing, RI and shear wave velocity alone ( Z=5.55,7.10,3.44,2.45, P<0.05) . Conclusions:High Ki67 expression, triple-negative breast cancer, lymphovascular invasion,RI, and shear wave velocity are all risk factors for axillary lymph node metastasis in breast cancer. The combined use of Ki67, molecular subtype, RI, and shear wave velocity can improve the diagnostic accuracy for axillary lymph node metastasis in breast cancer.

Objective:To explore the effects of real-time feedback intervention based on ecological momentary assessment on health behaviors and quality of life in stroke patients, to provide new insights and evidence for secondary prevention of stroke and post-discharge rehabilitation management.Methods:This was a non synchronous controlled study. A total of 160 stroke patients admitted to the First Affiliated Hospital of Soochow University from January 2022 to June 2023 were selected by convenience sampling method and sequentially assigned to a control group (80 cases) and an intervention group (80 cases) according to the admission time. The control group received routine discharge follow-ups. The intervention group wore smart wristbands and received ecological momentary assessment -based real-time feedback intervention. Health behaviors and quality of life were compared between the two groups before discharge, 3 months and 6 months after discharge.Results:Both groups of patients completed the study. In the intervention group, there were 43 cases aged ≤ 65 years and 37 cases aged>65 years, with 55 males and 25 females. In the control group, there were 42 cases aged ≤ 65 years and 38 cases aged>65 years, with 53 males and 27 females. There were no significant differences in the level of health behaviors and quality of life before discharge between the two groups (both P>0.05). At both 3 and 6 months after discharge, the total scores of the health behaviors were (92.59 ± 7.12), (92.58 ± 5.77) points in the intervention group, and (86.15 ± 14.64), (83.40 ± 8.19) points in the control group, there were significant differences between the two groups ( t=-3.54, -7.72; both P<0.01). The quality of life in the intervention group at 3 months after discharge was 0.904 ± 0.123, which was higher than the control group's 0.845 ± 0.232, and the difference was statistically significant ( t=-2.01, P<0.05). However, there was no statistically significant difference in the quality of life between the two groups at 6 months after discharge ( P>0.05). The overall compliance rate with smart wristband usage in the intervention group was 100%(80/80). Conclusions:Ecological momentary assessment-based real-time feedback intervention effectively improves health behaviors in stroke patients and enhances their quality of life in the short term, demonstrating good feasibility and acceptability.

Objective To design a magnetic curved disc for placing suture needles and explore its application effect in surgery.Methods The designed magnetic curved disc consisted of three parts:the curved disc body,the suture needle round table and permanent magnet.A total of 40 doctors and 40 nurses(1 doctor with 1 nurse)from Zhongshan Hospital Affiliated to Dalian University and a tertiary Grade A comprehensive hospital in Shanghai in September 2021 were selected,and randomly divided into the observation group and the control group,with 40 cases in each group.The observation group placed suture needles in the curved magnetic disc and the control group placed suture needles in the ordinary curved disc,with 12 suture needles in each curved disc.Each doctor sutured 60 times on the skin model.The precision rate of needle clamping,needle clamping time,needle removal rate,needle loss rate,needle counting time and medical staff satisfaction were compared between the two groups.Results The precision rate of needle clamping in the observation group was higher than that in the control group,and the needle clamping time and needle counting time were shorter than those in the control group,the needle removal rate was lower than that in the control group,and the medical staff satisfaction was higher than that in the control group,with statistically significant differences(P<0.05).There was no significant difference in the needle loss rate between the two groups(P>0.05).Conclusion The use of magnetic curved disc in surgery can improve the precision rate of needle clamping and the medical staff satisfaction,shorten the needle clamping time and needle counting time,and reduce the needle loss rate,with high safety of surgery.

21-hydroxylase deficiency (21-OHD) is a rare disease caused by insufficient adrenocortical hormone synthesis and hyperandrogen due to enzyme deficiency during steroid synthesis.Glucocorticoid and mineralocorticoid replacement therapies are main treatment method for 21-OHD.Currently, there are guidelines for the specific dosage and usage of the glucocorticoid replacement therapy, but no detailed evidence is offered for mineralocorticoid dose adjustment.Insufficient mineralocorticoid replacement can lead to an increase in the dose of glucocorticoids and further iatrogenic Cushing′s syndrome.Excessive dosage can result in sodium and water retention and further drug-induced hypertension.Therefore, the dose adjustment and treatment monitoring of Fludrocortisone still need to be further explored.In this article, the progress in mineralocorticoid treatment and monitoring for 21-OHD will be reviewed.

Our acupuncture-moxibustion(Acu-Moxi)field has entered an era of digital and intelligent transformation,yet systematic and in-depth development remains limited.This article aims to provide an overview and reflection on the digital and intelligent progress of Acu-Moxi in China,offering systematic insights for the comprehensive development of this field.Through a retrieval from CNKI,VIP,and Wanfang databases,along with a discussion of relevant policies,case studies,achievements,and updates,the study evaluated the current advancements in the digitization and intelligence of Acu-Moxi,also discussing the current advantages and challenges.Findings revealed an overall upward trend in publications related to digital-intelligent technologies in Acu-Moxi,key forms including robotics,acupuncture point digitization,smart acupuncture devices,and clinical decision-making models,highlighting the empowering potential of digital intelligence across the discipline.Recently,publications of the Acu-Moxi digitization has decreased sharply,and the number of Acu-Moxi research about digital and intelligent transformation has increased.In conclusion,the field has undergone a transition from comprehensive digital accumulation to increasing intelligence,moving toward integrated digital-intelligent development.However,the internal development of digital and intelligent Acu-Moxi remains uneven.To achieve a harmonious intelligent Acu-Moxi ecosystem,it is crucial to leverage opportunities of discipline and times for systematic and balanced improvement.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies