Degenerative retinoschisis(RS)is a common peripheral retinal degeneration that typically remains asymptomatic and follows a benign clinical course. However, its morphological resemblance to rhegmatogenous retinal detachment(RRD)presents a diagnostic challenge, as the two conditions demand fundamentally different management and carry distinct prognoses. Precise differentiation is therefore clinically imperative. Recent advances in multimodal imaging have substantially refined the diagnostic accuracy and differential assessment of degenerative RS, establishing spectral-domain optical coherence tomography(SD-OCT)as the definitive reference standard. When the disease progresses to progressive symptomatic schisis-related retinal detachment(PSSRD), prompt surgical intervention, including scleral buckling, pars plana vitrectomy, or a combined approach, is mandated to preserve visual function. Clinical decision-making must be individualized, with the surgical strategy carefully tailored to the specific characteristics of eachcase. This review provides a systematic synthesis of current evidence on the natural history, imaging hallmarks, and surgical management of degenerative RS and its complications, aiming to inform and optimize clinical practice.

AIM:To investigate the effects of modified Danggui Yinzi decoction combined with diclofenac sodium eye drops on tear film stability and tear protein levels in patients with allergic conjunctivitis.METHODS:Prospective study. Patients with allergic conjunctivitis who attended Suzhou Hospital of Integrated Traditional Chinese and Western Medicine from March 2021 to August 2024 were enrolled as study subjects. They were divided into two groups based on their treatment regimen: a control group(treated with diclofenac sodium eye drops alone)and an observation group(treated with modified Danggui Yinzi decoction combined with diclofenac sodium eye drops). Propensity score matching was used to balance baseline characteristics between the two groups. Log-binomial regression was performed to estimate the risk of adverse reactions. Repeated-measures analysis of variance(ANOVA)was used to assess tear film stability indicators. A difference-in-differences(DID)model was employed to assess the net effect of the combined therapy on changes in tear protein levels.RESULTS:After propensity score matching, a total of 172 patients(344 eyes)were finally enrolled, with 86 patients(172 eyes)in each of the control and observation groups. In the control group, there were 51 males and 35 females, with a mean age of 35.91±10.10 y; in the observation group, there were 49 males and 37 females, with a mean age of 37.87±8.09 y. After treatment, symptom scores decreased in both groups compared with baseline(all P<0.05). At 2 and 4 wk after treatment, symptom scores in the observation group were significantly lower than those in the control group(all P<0.05). The overall response rate was significantly higher in the observation group(89.5%)than in the control group(77.9%)(P<0.05), while the incidence of total adverse reactions was significantly lower in the observation group(7.0%)than in the control group(36.0%)(RR=0.133, P<0.001). Compared with baseline, both groups showed increases in BUT and SⅠt, and a decrease in FL score at 2 and 4 wk after treatment(P<0.017). At 2 and 4 wk after treatment, the BUT and SⅠt levels in the observation group were higher than those in the control group, and the FL score was significantly lower(all P<0.05). The DID model showed that the observation group had greater increases than the control group in lactoferrin(0.411 g/L), total protein(2.792 g/L), secretory immunoglobulin A(14.610 mg/L), and lysozyme(0.419 g/L), respectively(all P<0.05), and these differences remained significant after adjusting for covariates.CONCLUSION:Modified Danggui Yinzi decoction combined with diclofenac sodium eye drops significantly improves tear film stability indicators and tear protein levels in patients with allergic conjunctivitis, and its therapeutic efficacy is superior to that of diclofenac sodium eye drops alone.

Objective To explore the association of working hours and shift work with occupational stress, fatigue accumulation, and depressive symptoms among primary community medical workers. Methods A total of 516 medical workers from five community medical service centers in Pudong New Area, Shanghai City, were selected as the research subjects using the convenience sampling method. The Core Scale of Occupational Stress Measurement, the Workers' Fatigue Accumulation Self-diagnosis Questionnaire, and the Patient Health Questionnaire were used to assess research subjects' occupational stress, fatigue accumulation, and depressive symptoms, respectively. Results Long working hours (>40 hours/week) were reported by 50.4% of workers among the research subjects, while shift works were reported by 16.9% of the workers. The detection rates of occupational stress, fatigue accumulation, and depressive symptoms were 26.6%, 41.7%, and 30.8%, respectively. Multivariate logistic regression analysis result revealed that, after adjusting for confounders such as age, sex, and education level, longer working hours were associated with higher risks of occupational stress, fatigue accumulation, and depressive symptoms (all P<0.05). Shift workers in community medical centers had higher risks of occupational stress, fatigue accumulation, and depressive symptoms compared with non-shift workers (all P<0.05). Conclusion Long working hours and shift work could increase the risks of occupational stress, fatigue accumulation, and depressive symptoms among community medical workers.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.

Objective:To establish a framework of entrustable professional activity indicators for non-anesthesiology residents during rotation in the Department of Anesthesiology, standardize the training process, and provide an effective evaluation method.Methods:Based on literature review and discussions, a preliminary expert consultation questionnaire was developed. From July to November 2024, a modified Delphi method was adopted and relevant experts were invited to assess the importance, validity, and feasibility of each indicator using a 5-point Likert scale. The results were used to screen and refine the entrustable professional activity indicators for non-anesthesiology residents during rotation in the Department of Anesthesiology.Results:In the two rounds of expert consultation, the valid questionnaire return rate reached 100.00%, with an expert judgment basis coefficient of 0.73 and a familiarity coefficient of 0.90. Based on expert feedback, the final framework retained 3 first-level indicators and 12 second-level indicators. Modifications included renaming "Anesthesia Management" to "Anesthetic Drug Management", swapping the order of "Intraoperative Emergency Management" and "Airway Management", and removing the indicator "Resuscitation Assessment".Conclusions:This study preliminarily developed a framework of entrustable professional activity indicators for non-anesthesiology residents during rotation in the Department of Anesthesiology. The framework provides a simple and practical competency evaluation method for standardized training, which can enhance training quality and effectiveness.

Objective:To explore the latent profile characteristics of fatigue in patients with non-small cell lung cancer (NSCLC) complicated by radiation-induced pulmonary fibrosis (RIPF), and to provide evidence for developing precision nursing strategies.Methods:A convenience sample of 120 patients with RIPF and NSCLC who received treatment at the First Affiliated Hospital of Zhengzhou University between January 2022 and December 2023 was recruited. Baseline demographic and clinical data and the Multidimensional Fatigue Inventory (MFI) were collected. Latent profile analysis (LPA) was performed to classify fatigue levels, and multinomial logistic regression was used to identify influencing factors. A total of 120 questionnaires were distributed, and 116 valid responses were obtained, with a valid response rate of 96.67% (116/120) .Results:LPA identified three latent classes of fatigue among the 116 patients: the physiological-cognitive compound fatigue group ( n=52), the emotional-sleep disturbance group ( n=38), and the mildly adaptive group ( n=26). Multinomial logistic regression revealed that age, Eastern Cooperative Oncology Group performance status (ECOG-PS), Karnofsky Performance Status (KPS), sleep quality, and anxiety were significant factors associated with the physiological-cognitive compound fatigue group ( P<0.05). Sleep quality, anxiety, depression, pain, and KPS were significant factors associated with the emotional-sleep disturbance group ( P<0.05) . Conclusions:Patients with RIPF and NSCLC can be classified into three subtypes of fatigue. Differentiated nursing strategies should be developed accordingly to achieve precise and individualized interventions.

Objective:To investigate the current status of fertility concerns among early-stage endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) patients with fertility preservation, and analyze its influencing factors.Methods:Convenience sampling was used to select early-stage EC and AEH patients with fertility preservation at Peking University People's Hospital from January to December 2021 as study subjects. The study subjects were surveyed using the General Information Questionnaire, Chinese version of the Reproductive Concerns after Cancer Scale (RCAC), and Social Support Rating Scale (SSRS). Pearson correlation was employed to examine the relationship between fertility concerns and social support in early-stage EC and AEH patients with fertility preservation. Single-factor analysis and multiple linear regression analysis were used to examine the factors influencing fertility concerns in early-stage EC and AEH patients with fertility preservation.Results:A total of 170 questionnaires were distributed, and 167 valid questionnaires were collected, with a valid response rate of 98.24% (167/170). The RCAC and SSRS scores of 167 early-stage EC and AEH patients with fertility preservation were (56.58±10.58) and (34.22±8.21), respectively. Educational level, disease type and staging, marital status, and social support were statistically significant factors influencing fertility concerns among early-stage EC and AEH patients undergoing fertility preservation ( P<0.05), explaining 32.80% of the total variance. Conclusions:Early-stage EC and AEH patients with fertility preservation exhibit high levels of fertility concerns. Clinical practice should develop individualized psychological intervention programs for patients with high education level, unmarried status, high pathological grading, and lack of social support to improve their physical and mental health.

Objective:To explore the latent profile characteristics of fatigue in patients with non-small cell lung cancer (NSCLC) complicated by radiation-induced pulmonary fibrosis (RIPF), and to provide evidence for developing precision nursing strategies.Methods:A convenience sample of 120 patients with RIPF and NSCLC who received treatment at the First Affiliated Hospital of Zhengzhou University between January 2022 and December 2023 was recruited. Baseline demographic and clinical data and the Multidimensional Fatigue Inventory (MFI) were collected. Latent profile analysis (LPA) was performed to classify fatigue levels, and multinomial logistic regression was used to identify influencing factors. A total of 120 questionnaires were distributed, and 116 valid responses were obtained, with a valid response rate of 96.67% (116/120) .Results:LPA identified three latent classes of fatigue among the 116 patients: the physiological-cognitive compound fatigue group ( n=52), the emotional-sleep disturbance group ( n=38), and the mildly adaptive group ( n=26). Multinomial logistic regression revealed that age, Eastern Cooperative Oncology Group performance status (ECOG-PS), Karnofsky Performance Status (KPS), sleep quality, and anxiety were significant factors associated with the physiological-cognitive compound fatigue group ( P<0.05). Sleep quality, anxiety, depression, pain, and KPS were significant factors associated with the emotional-sleep disturbance group ( P<0.05) . Conclusions:Patients with RIPF and NSCLC can be classified into three subtypes of fatigue. Differentiated nursing strategies should be developed accordingly to achieve precise and individualized interventions.

Objective:To investigate the current status of fertility concerns among early-stage endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) patients with fertility preservation, and analyze its influencing factors.Methods:Convenience sampling was used to select early-stage EC and AEH patients with fertility preservation at Peking University People's Hospital from January to December 2021 as study subjects. The study subjects were surveyed using the General Information Questionnaire, Chinese version of the Reproductive Concerns after Cancer Scale (RCAC), and Social Support Rating Scale (SSRS). Pearson correlation was employed to examine the relationship between fertility concerns and social support in early-stage EC and AEH patients with fertility preservation. Single-factor analysis and multiple linear regression analysis were used to examine the factors influencing fertility concerns in early-stage EC and AEH patients with fertility preservation.Results:A total of 170 questionnaires were distributed, and 167 valid questionnaires were collected, with a valid response rate of 98.24% (167/170). The RCAC and SSRS scores of 167 early-stage EC and AEH patients with fertility preservation were (56.58±10.58) and (34.22±8.21), respectively. Educational level, disease type and staging, marital status, and social support were statistically significant factors influencing fertility concerns among early-stage EC and AEH patients undergoing fertility preservation ( P<0.05), explaining 32.80% of the total variance. Conclusions:Early-stage EC and AEH patients with fertility preservation exhibit high levels of fertility concerns. Clinical practice should develop individualized psychological intervention programs for patients with high education level, unmarried status, high pathological grading, and lack of social support to improve their physical and mental health.