Objective To investigate the prognostic role of serum beta 2-microglobulin(β2M)as a systemic inflammatory biomarker in hospitalized patients with exacerbation of COPD,compared with other inflammatory biomarkers.Methods We retrospectively analyzed hospitalized patients with exacerbated COPD as the first diagnosis at Beijing Chao-Yang hospital,P.R.China,from December 31,2012 to December 28,2017.Serum β2M levels,laboratory and clinical indexes were measured or collected on admission,and all patients were followed up for 90 days.The prognostic performance of β2M was compared with the neutrophils-lymphocytes ratio(NLR),C-reactive protein values(CRP)and white blood cell(WBC)using MedCalc.Results For 30-day mortality,β2M,NLR,and CRP showed significant predictive value(all P<0.001)and were better than WBC(P=0.044,0.003 and 0.030,respectively)in hospitalized patients with exacerbated COPD,while WBC had no predictive significance.For 90-day mortality,β2M,NLR,CRP,and WBC were all statistically significant,but only NLR outperformed WBC(P=0.004).No significant differences were observed among β2M,NLR,and CRP.Conclusion As a systemic inflammatory biomarker,serum β2M was a useful prognostic biomarker for short-term death in hospitalized patients with COPD exacerbations.It performed slightly better than NLR and CRP for 30-day mortality prediction and slightly superior to CRP and slightly inferior to NLR for 90-day mortality prediction.

Objective To analyze and understand the experiences and feelings of elderly inpatients during the use of intelligent nursing services,providing a scientific basis for the development of intelligent nursing models in intelligent ward systems.Methods Adopting the phenomenological research method,purposive sampling was used to select 14 elderly inpatients from a tertiary hospital in Beijing between October and December 2024 for semi-structured interviews.Thematic analysis was applied for data analysis.Results The experiences of elderly inpatients with intelligent nursing services were mainly summarized into 3 themes,including the dual track of acceptance challenges and convenience perception of intelligent nursing services,the integration of aging-appropriate innovation and humanistic care in intelligent nursing services,and the health orientation and privacy security concerns of intelligent nursing services.Conclusion Elderly inpatients can generally recognize the utility of intelligent nursing services in enhancing convenience and their health,but they still face challenges,and have clear aging-appropriate needs,while expressing concerns about privacy security.Managers and healthcare professionals need to design multi-faceted aging-appropriate innovations or intervention strategies to expand the accessibility of intelligent nursing,ensuring that elderly patients can truly benefit from these.

Objective To investigate the prognostic role of serum beta 2-microglobulin(β2M)as a systemic inflammatory biomarker in hospitalized patients with exacerbation of COPD,compared with other inflammatory biomarkers.Methods We retrospectively analyzed hospitalized patients with exacerbated COPD as the first diagnosis at Beijing Chao-Yang hospital,P.R.China,from December 31,2012 to December 28,2017.Serum β2M levels,laboratory and clinical indexes were measured or collected on admission,and all patients were followed up for 90 days.The prognostic performance of β2M was compared with the neutrophils-lymphocytes ratio(NLR),C-reactive protein values(CRP)and white blood cell(WBC)using MedCalc.Results For 30-day mortality,β2M,NLR,and CRP showed significant predictive value(all P<0.001)and were better than WBC(P=0.044,0.003 and 0.030,respectively)in hospitalized patients with exacerbated COPD,while WBC had no predictive significance.For 90-day mortality,β2M,NLR,CRP,and WBC were all statistically significant,but only NLR outperformed WBC(P=0.004).No significant differences were observed among β2M,NLR,and CRP.Conclusion As a systemic inflammatory biomarker,serum β2M was a useful prognostic biomarker for short-term death in hospitalized patients with COPD exacerbations.It performed slightly better than NLR and CRP for 30-day mortality prediction and slightly superior to CRP and slightly inferior to NLR for 90-day mortality prediction.

Objective To analyze and understand the experiences and feelings of elderly inpatients during the use of intelligent nursing services,providing a scientific basis for the development of intelligent nursing models in intelligent ward systems.Methods Adopting the phenomenological research method,purposive sampling was used to select 14 elderly inpatients from a tertiary hospital in Beijing between October and December 2024 for semi-structured interviews.Thematic analysis was applied for data analysis.Results The experiences of elderly inpatients with intelligent nursing services were mainly summarized into 3 themes,including the dual track of acceptance challenges and convenience perception of intelligent nursing services,the integration of aging-appropriate innovation and humanistic care in intelligent nursing services,and the health orientation and privacy security concerns of intelligent nursing services.Conclusion Elderly inpatients can generally recognize the utility of intelligent nursing services in enhancing convenience and their health,but they still face challenges,and have clear aging-appropriate needs,while expressing concerns about privacy security.Managers and healthcare professionals need to design multi-faceted aging-appropriate innovations or intervention strategies to expand the accessibility of intelligent nursing,ensuring that elderly patients can truly benefit from these.

Objective To investigate the diagnosis value of contrast-enhanced ultrasound (CEUS) in the differentiation of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) of the liver with ≤3 cm of maximum diameter. Methods The image characteristics in 48 lesions of HCC with maximum diameter≤3 cm and 48 lesions of FNH with maximum diameter≤3 cm confirmed by pathology were retrospectively analyzed. The phase changes, enhancement patterns and enhancement characteristics of the lesions in the two groups were compared. Results All lesions in the two groups showed high-echo in the arterial phase. The contrast arrival time in HCC group and FNH group was 17(15, 19) s and 15(12, 18.75) s (P＝0.017); the peak time in the two groups was 21(17, 25) s and 22(19, 26) s (P＞0.05). The main enhancement patterns of HCC group and FNH group in arterial phase were homogeneous enhancement and centrifugal enhancement, respectively. All HCC lesions showed homogeneous enhancement, which was significantly higher than FNH (2.08%, P＜0.05); 97.91% of FHN lesions showed centrifugal enhancement, which was higher that of HCC lesions (0, P＜0.05). During the CEUS process, 87.5% of HCC lesions showed “rapid fill-in and rapid wash-out”, which was significantly higher than that of FNH lesions（8.33%，P＜0.05）; 91.67% of FNH lesions showed “rapid fill-in” and “synchronous/slow wash-out” which was significantly higher than that of HCC lesions （12.50%，P＜0.05）. Conclusion CEUS is helpful in the differential diagnosis of FNH and HCC with maximum diameter≤3 cm．

Objective:To explore the application of online challenge training mode and analyze its application effect in standardized training of new nurses.Methods:Using the map training mode of the online training platform, a challenge game was designed and applied in the standardized training of new nurses. Using the convenience sampling method, 309 new nurses who joined Beijing Friendship Hospital, Capital Medical University from 2020 to 2021 were selected and grouped according to their starting date. The 103 nurses who joined in 2020 were set as the control group and traditional training was used. The 206 nurses who joined in 2021 were set as the research group and a challenge training mode was used. The scores and pass rates of theoretical assessment and OSCE assessment as well as the scores of core competency were compared between the two groups after training. A self-made questionnaire for satisfaction survey was used to investigate the satisfaction of nurses in the research group with the challenge training mode. The t-test and chi-square test were perform using SPSS 23.0. Results:Compared with the control group, the research group showed significantly higher score [(83.32±6.30) vs. (81.59±7.62)] and pass rate (94.66% vs. 83.50%) of theoretical assessment, significantly higher score [(92.19±5.08) vs. (90.66±5.47)] and pass rate (100.00% vs. 97.09%) of OSCE assessment, and a significantly higher total score of core competencies [(193.61±34.94) vs. (177.55±36.91)] ( P<0.05). Moreover, 98.06% (202) of nurses believed that the challenge training mode could stimulate learning interest and motivation, and preferred the online challenge mode training method. Additionally, 93.69% (193) of nurses believed that online learning was more efficient, and 96.60% (199) of nurses thought that online training saved time. Conclusions:The online challenge training mode can effectively stimulate the learning interest of new nurses, improve their core abilities, and increase their satisfaction with the training. This method is worth implementing and promoting in standardized nurse training.

Objective To build an intelligent interactive discharge follow-up platform,and to explore its applica-tion effect in the management of discharge follow-up.Methods A research team was established to construct the intelligent interactive discharge follow-up platform,which includes 3 modules,namely follow-up plan customization module,follow-up execution module,and information backup and statistical analysis module.The discharge follow-up data of branch A and B of a tertiary hospital in Beijing from January to December 2022 were selected.Patients in branch A were given manual telephone follow-up by nurses,and patients in branch B were applied by the intelli-gent interactive discharge follow-up platform,and the follow-up efficiency of the 2 branches was compared.100 cas-es of discharged patients in each of 2 hospital branches were randomly selected as research subjects,and the fol-low-up time and nursing manpower of 2 groups were compared.Results The follow-up rate and effective follow-up rate of branch A were 99.96％and 95.10％,while those of branch B were 99.84％and 99.66％,respectively,and the difference was statistically significant(x2=19.028,2 081.008,P＜0.001).The opinion collection rate of branch A was 0.47％,which was higher than that of the branch B(0.01％)(x2=249.365,P＜0.001).The time and nursing man-power spent on follow-up was even less.Conclusion The intelligent interaction discharge follow-up platform real-izes human-robot multi-party intelligent interaction,which can release nursing manpower and time,improve the fol-low-up rate of discharged patients.

Objective:To explore the feasibility and effect of remote medical education model using online film reading training to improve the ability of ophthalmologists in the Xinjiang Uygur Autonomous Region (hereinafter referred to as "Xinjiang Region" ) in diagnosing fundus diseases.Methods:The three-level film reading training system of Xinjiang Production and Construction Corps system division hospital-Corps Hospital-Peking Union Medical College Hospital was established. From June 2022 to January 2023, 4 159 posterior color fundus images were continuously collected from Department of Ophthalmology of Xinjiang Corps Hospital and 4 divisional hospitals in the Corps medical system. Among them, hypertensive retinopathy, diabetic retinopathy, exudative age-related macular degeneration (AMD), atrophic AMD and retinal vein occlusion were 3 073, 651, 43, 186 and 206 cases, respectively. The images were divided into 3 rounds (first, second and last) according to the proportion of diseases. The doctors who participated in the training (hereinafter referred to as the "training") were 15 ophthalmologists from the Corps Hospital of Xinjiang Region and the division hospital of the Corps system. There were 7 male and 8 female. Age was (38.1±4.0) years. The titles of senior, deputy senior, intermediate and junior are 1, 6, 5 and 3 respectively; Bachelor's degree and master's degree are 13 and 2 respectively. The working time of fundus disease specialty was (9.6±3.3) years. The film reading system training was conducted before the first round of labeling, and after each round of film reading, the doctors of Peking Union Medical College Hospital gave feedback and explanation on the film reading results. The diagnostic consistency, sensitivity and specificity were compared by paired sample t test. Spearman or Pearson correlation analysis was conducted between the improvement of diagnostic level and professional title, education, age and working hours of ocular fundus disease. Results:All the participating doctors completed the first, second and last reading. After each round of film reading, the film reading summary was carried out for 2 hours. The average diagnostic agreement rates of participating physicians were 53.0%, 67.0% and 75.0%, respectively. The sensitivity and specificity were 0.38, 0.69, 054 and 0.66, 0.85, 0.96, respectively. There was significant difference between the first and last examination ( P<0.001). The sensitivity of the second reading was significantly higher than that of the first reading, and the sensitivity of the last reading was significantly lower than that of the second reading, with statistical significance ( P<0.05). The specificity of the second reading was significantly higher than that of the first reading, and the last reading was significantly higher than that of the second reading, with statistical significance ( P<0.05). There was no significant correlation ( P>0.05) between the improvement of diagnostic level of participating physicians and educational background ( Rho=0.07), professional title ( Rho=0.13), age ( r=0.20), and working time of ophthalmofundus disease specialty ( r=0.26). Conclusions:Relying on the three-level online telemedicine training, it can improve the ability of ophthalmologists in Xinjiang region to diagnose fundus diseases. The preliminary telemedicine education model has demonstrated potential for feasibility and effectiveness in remote areas with inadequate medical resources.

Objective:To explore the feasibility and effect of remote medical education model using online film reading training to improve the ability of ophthalmologists in the Xinjiang Uygur Autonomous Region (hereinafter referred to as "Xinjiang Region" ) in diagnosing fundus diseases.Methods:The three-level film reading training system of Xinjiang Production and Construction Corps system division hospital-Corps Hospital-Peking Union Medical College Hospital was established. From June 2022 to January 2023, 4 159 posterior color fundus images were continuously collected from Department of Ophthalmology of Xinjiang Corps Hospital and 4 divisional hospitals in the Corps medical system. Among them, hypertensive retinopathy, diabetic retinopathy, exudative age-related macular degeneration (AMD), atrophic AMD and retinal vein occlusion were 3 073, 651, 43, 186 and 206 cases, respectively. The images were divided into 3 rounds (first, second and last) according to the proportion of diseases. The doctors who participated in the training (hereinafter referred to as the "training") were 15 ophthalmologists from the Corps Hospital of Xinjiang Region and the division hospital of the Corps system. There were 7 male and 8 female. Age was (38.1±4.0) years. The titles of senior, deputy senior, intermediate and junior are 1, 6, 5 and 3 respectively; Bachelor's degree and master's degree are 13 and 2 respectively. The working time of fundus disease specialty was (9.6±3.3) years. The film reading system training was conducted before the first round of labeling, and after each round of film reading, the doctors of Peking Union Medical College Hospital gave feedback and explanation on the film reading results. The diagnostic consistency, sensitivity and specificity were compared by paired sample t test. Spearman or Pearson correlation analysis was conducted between the improvement of diagnostic level and professional title, education, age and working hours of ocular fundus disease. Results:All the participating doctors completed the first, second and last reading. After each round of film reading, the film reading summary was carried out for 2 hours. The average diagnostic agreement rates of participating physicians were 53.0%, 67.0% and 75.0%, respectively. The sensitivity and specificity were 0.38, 0.69, 054 and 0.66, 0.85, 0.96, respectively. There was significant difference between the first and last examination ( P<0.001). The sensitivity of the second reading was significantly higher than that of the first reading, and the sensitivity of the last reading was significantly lower than that of the second reading, with statistical significance ( P<0.05). The specificity of the second reading was significantly higher than that of the first reading, and the last reading was significantly higher than that of the second reading, with statistical significance ( P<0.05). There was no significant correlation ( P>0.05) between the improvement of diagnostic level of participating physicians and educational background ( Rho=0.07), professional title ( Rho=0.13), age ( r=0.20), and working time of ophthalmofundus disease specialty ( r=0.26). Conclusions:Relying on the three-level online telemedicine training, it can improve the ability of ophthalmologists in Xinjiang region to diagnose fundus diseases. The preliminary telemedicine education model has demonstrated potential for feasibility and effectiveness in remote areas with inadequate medical resources.

Objective To monitor the quality of intravenous infusions in a constructed closed-loop tracking system,and to discuss its application effect.Methods The information program is reinvested in a team for the closed-loop tracking system of the intravenous infusion.There are modules of processing medical orders,pharmacy preparations,execution procedures with the doctor's orders,as well as the computing module.The system was put into clinical trial operation in November 2021 and officially applied in January 2022.Specifically,the number of infusion-related adverse events/red-light alert is recorded and compared before(January to December 2021)and after(January to December 2022)the application of the system.Random sampling method has been performed in a ward to investigate the amount of abnormal infusion for the comparison.Results It is shown that it occurred 3 times for the infusion-related adverse events before the operation of the system,and a time after that.In the neurological inpatients,we observe the amount of red-light alert as 5,120.25±775.82 before the system operation,and 1,518.25±74.77 after that.It is shown to decline by 70.35％on average with statistical significance on the total difference(P＜0.001).Monthly amount of infusion in the ward is 5,184 with 155 times of overfast(2.99％)for 775 minutes in total,and with 207 times of slow(3.99％)for 1,035 minutes in total.The average handling time per contact is 5 minutes.Conclusion The closed-loop tracking system for intravenous infusion quality monitoring can track and record the whole process of intravenous infusions.It is expected to provide accurate and objective data for closed-loop quality inspection on clinical nursing practice,which is conducive to nursing managers for any potential problems during infusion processing timely,to promote standardized nursing operations,and to further improve the safety of inpatients with intravenous infusion and medication.