Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective To explore the effect of playing moderate-intensity table tennis and badminton on myo-pia prevention among children between 7 and 9 years old,so as to provide related theoretical basis.Methods A total of 536 myopic children were initially screened from two schools in Guangzhou via questionnaires and in-terviews.Among them,36 children(7-9 years old)were selected and randomly divided into a control group,a table tennis group and a badminton group,each of 12.All groups underwent 1.5-hour training three times a week for six months,covering training on dynamic visual acuity,sports vision and attention training and the ex-ercise intensity was adjusted according the heart rate,rating of perceived exertion(RPE)and blood oxygen lev-els.Moreover,the equivalent spherical degree(SED),ocular biology,and accommodative parameters were mea-sured before and after the intervention.Results After intervention,the left eye SEDs of the control and badmin-ton groups were lower than before intervention(P<0.05).Moreover,the axial length(AL)in the left and right eyes and the axial length/corneal radius of curvature(AL/CR)of all 3 groups after intervention were significant-ly higher than before that(P<0.05).The table tennis group showed significant improvement in accommodative fa-cility(AF)in both eyes(P<0.05),while the badminton group demonstrated significant increases in AF of both eyes,amplitude of accommodation(AMP)in the right eye,but a significant decrease in the positive relative adjustment(PRA)(P<0.05).Moreover,after intervention,SE and AF of both eyes in the table tennis group was significantly higher,with lower AL and AL/CR ratios in the left eye compared to the control group(P<0.05).The badminton group exhibited greater AMP in the right eye and AF improvements in both eyes com-pared to the control and table tennis groups(P<0.05),but lower PRA(P<0.05).Moreover,the left-eye SE of the badminton group was higher than the control group(P<0.05),while the right-eye corneal curvature and the left-eye AL/CR were lower than the latter(P<0.05).Meanwhile,after the intervention,the left-eye AL and PRA of the badminton group were significantly lower than the table tennis group(P<0.05).Conclusion Pupils can effectively increase their reserve of eye adjustment,improve the adjustment function of the eye,and delay the development of myopia by playing table tennis and badminton with moderate intensity.Playing table tennis excels in delaying refractive power changes,while doing badminton significantly improves PRA,AMP,and AF.

Objective:To explore the construction of a core competency evaluation indicator system for pediatric surgery operating room specialist nurses.Methods:The evaluation indicator system was constructed by reviewing literature, analyzing semi-structured interview results, and examining the characteristics of training specialized nurses in pediatric surgery operating rooms, as well as combining the characteristics of pediatric surgery and multi-source data. The research group discussed and proposed a preliminary core competency evaluation indicator system for specialized nurses in pediatric surgery operating rooms. This study used the Delphi expert inquiry method to conduct two rounds of expert consultation and ultimately established the core competency evaluation indicator system for pediatric surgery operating room specialist nurses. The expert positivity coefficient was represented by the questionnaire response rate, and the expert authority coefficient was calculated using the judgment coefficient and familiarity degree. The coefficient of variation and Kendall's W coefficient were used to measure the degree of coordination of expert opinions. Results:The effective response rates for the two rounds of expert consultation were 100.00% and 95.24%, respectively. The authority coefficients of the two rounds of expert consultation were 0.92 and 0.90, respectively. The coefficients of variation of indicators at various levels were less than 0.25. The Kendall's W coefficients for the first-, second-, and third-level indicators in the first and second rounds of expert consultation were 0.516-0.664 and 0.652-0.711, respectively ( P<0.001). The final core competency evaluation indicator system for pediatric surgery operating room specialist nurses included 3 first-level indicators, 15 second-level indicators, and 52 third-level indicators. Conclusions:The core competency evaluation indicator system for pediatric surgery operating room specialist nurses constructed in this study provides a scientific and practical guidance for training pediatric surgery operating room specialist nurses in China.

Objective To investigate the application value of systemic inflammatory response index(SIRI)in patients with acute-on-chronic liver failure(ACLF)and co-infection.Methods A retrospective analysis was performed for the clinical data of 579 ACLF patients with co-infection who were diagnosed and treated in The Fifth Medical Center of Chinese PLA General Hospital from January 2014 to March 2016,including demographic features,laboratory markers,and complications,and SIRI,Model for End-Stage Liver Disease(MELD)score,MELD combined with serum sodium concentration(MELD-Na)score,and Child-Pugh score were calculated.According to the results of follow-up on day 90,the patients were divided into survival group with 210 patients and death group with 369 patients.The independent-samples t test was used for comparison of normally distributed continuous data between two groups;the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test were used for comparison of categorical data between two groups.The binary logistic regression analysis was used to investigate the independent risk factors for 90-day death.The receiver operating characteristic(ROC)curve and the area under the ROC curve(AUC)were used to assess the performance of SIRI,MELD-Na score,and Child-Pugh score in predicting the prognosis of ACLF patients with co-infection.The Kaplan-Meier survival analysis was performed based on the optimal cut-off value of SIRI.Results Among the 597 ACLF patients with co-infection,384(66.32%)had HBV-related ACLF and 114(19.69%)had alcohol-related ACLF;as for the main infection sites,316(54.58%)had abdominal infection and 133(22.97%)had pulmonary infection;the 90-day mortality rate was 63.73%.The multivariate logistic regression analysis showed that SIRI(odds ratio[OR]=1.177,95%confidence interval[CI]:1.117-1.239,P<0.05),blood ammonia(OR=1.009,95%CI:1.001-1.018,P<0.05),MELD-Na score(OR=1.047,95%CI:1.016-1.080,P<0.05),Child-Pugh score(OR=1.351,95%CI:1.054-1.730,P<0.05),age(OR=1.045,95%CI:1.021-1.070,P<0.05),comorbidity with hepatic encephalopathy(OR=2.269,95%CI:1.305-3.946,P<0.05),and comorbidity with acute kidney injury(OR=1.730,95%CI:0.990-3.023,P<0.05)were independent risk factors for 90-day death in ACLF patients with co-infection.The Pearson correlation analysis showed that SIRI was positively correlated with MELD-Na score(r=0.282,P<0.001)and Child-Pugh score(r=0.168,P<0.001).SIRI,MELD-Na score,and Child-Pugh score had an AUC of 0.855,0.734,and 0.690,respectively,in predicting 90-day death,and SIRI had a higher predictive efficiency than MELD-Na score and Child-Pugh score(Z=4.922 and 6.289,both P<0.001),with a sensitivity of 76.7%and a specificity of 82.9%.In addition,SIRI combined with MELD-Na score or Child-Pugh score improved the predictive efficiency of MELD-Na score(0.854 vs 0.734,Z=6.899,P<0.001)and Child-Pugh score(0.858 vs 0.690,Z=8.725,P<0.001).The patients with high SIRI(≥4.08)had a 90-day survival rate of 11.29%(36/319),which was significantly lower than that in the patients with low SIRI(<4.08)(χ2=225.24,P<0.001).Conclusion SIRI is an independent risk factor for death in ACLF patients with co-infection and has a good clinical value in predicting prognosis,with the advantages of convenience and low costs.

Objective: To construct a Family with sequence similarity 50 member A(FAM50A) gene knockout mouse insulinoma pancreatic β-cell line Beta-TC-6 using CRISPR/Cas9 gene editing technology and to prepare polyclonal antibodies specifically recognizing FAM50A. Methods: Two guide RNAs(sgRNAs) targeting the FAM50A gene were designed,and a recombinant plasmid expressing blue fluorescent protein(BFP) was constructed for gene knockout.The successfully constructed plasmid was transfected into Beta-TC-6 cells,and BFP-positive single cells were isolated for clonal expansion.The expanded monoclonal cell lines were genotyped by Sanger sequencing,and FAM50A protein expression was assessed by Western blot.Purified human recombinant FAM50A protein was used to immunize New Zealand rabbits for the preparation of a polyclonal antibody.The specificity of the prepared antibody was then validated using the successfully established FAM50A knockout cell line. Results: A monoclonal cell line with a successful knockout of the FAM50A gene was identified.Sanger sequencing confirmed base deletions at the target site.Western blot analysis showed a complete absence of FAM50A protein expression in this cell line.The prepared polyclonal antibody successfully recognized endogenous murine FAM50A protein in wild-type Beta-TC-6 cells and in hTERT-RPE1 cells overexpressing human FAM50A-GFP fusion protein,while no signal was detected in the FAM50A knockout cells. Conclusion This study successfully established a FAM50A gene knockout Beta-TC-6 cell model and generated a FAM50A polyclonal antibody,providing powerful tools for future research.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups;the chi-square test was used for comparison of categorical data between groups.A non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.

Objective:To explore the current status and influencing factors of non-verbal communication needs in mechanically ventilated patients in ICU using an interpretive sequential mixed research design to inform the future development of targeted non-verbal communication strategies for mechanically ventilated patients in the ICU.Methods:Convenience sampling was used to select 262 mechanically ventilated patients from the general ICUs of two Class Ⅲ Grade A hospitals in Shanghai, from January to June 2023 for the study. Patients were surveyed using the General Information Questionnaire and the Surgical ICU Tracheal Intubation Patient Communication Needs Scale. Multiple linear regression was used to analyze the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU. A total of 262 questionnaires were distributed in the quantitative study, and 256 valid questionnaires were recovered, with a valid recovery rate of 97.71% (256/262) . Purposive sampling was used to select 16 ICU mechanically ventilated patients for semi-structured in-depth interviews. The information was analyzed using the Colaizzi 7-step analysis method.Results:In 256 mechanically ventilated patients, the total non-verbal communication needs score was (144.33±12.82) , and the items average scores of physiological needs, safety needs, love and belongingness needs, and self-esteem needs were (3.39±1.83) , (3.35±0.98) , (3.32±1.21) , and (3.29±1.32) , respectively. Multiple linear regression analysis showed that the duration of mechanical ventilation, history of intubation, and education level were the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU ( P<0.05) . Five themes were distilled from the qualitative study, including communication needs for shared decision-making about disease trajectories, communication needs for accurate management of disease symptoms, communication needs for psychological stress adjustment, communication needs for social system support, and communication needs for dignity preservation. Integrating and analyzing the quantitative and qualitative results revealed that they complemented each other in explaining and validating ideas in elaborating the current status and intrinsic relationship of non-verbal communication needs of mechanically ventilated patients in ICU. Conclusions:The non-verbal communication needs of mechanically ventilated patients in the ICU are prevalent and influenced by a variety of factors. It is recommended that hospital administrators construct an effective non-verbal communication support system based on the status quo of patients' non-verbal communication needs in order to promote the whole process and multidimensional health management services for ICU mechanically ventilated patients and to improve patients' quality of life.

Objective:To investigate the expression of miRNAs in thymus of patients with myasthenia gravis(MG)and the re-lated mechanism of action,so as to provide theoretical and experimental basis for clinical diagnosis and treatment.Methods:miRNA microarray technology was used to analyze the differential miRNA expression in MG patients thymus.Fluorescence quantitative PCR and in situ hybridization were used to verify the expression of miR-19a-3p in thymus tissue.The TALL-104 cell line was transfected with miR-19a-3p mimics to observe the effects of miR-19a-3p on cell proliferation,apoptosis and expressions of related molecules(BCL2 and SOCS3).Results:Compared to normal thymus tissue,a total of 282 differentially expressed miRNAs were detected in the thymus of MG patients,among which 103 were up-regulated and 179 were down-regulated.The target genes of differentially expressed miRNAs were mainly related to nuclear molecules,cytoplasmic membrane-like structures and organelle related molecules.Quantita-tive fluorescence PCR and in situ fluorescence hybridization confirmed that the expression of miR-19a-3p in MG patients thymus was significantly lower than that in normal control group.Compared with the control group,miR-19a-3p mimics transfection could signifi-cantly inhibit the apoptosis of TALL-104 cells,increase the expression of BCL2 and decrease the expression of SOCS3(P<0.05).Conclusion:The expression of miRNA in the thymus of MG patients is significantly different from that of non-MG patients,and miR-19a-3p inhibits T cell apoptosis through up-regulation of BCL2 and down-regulation of SOCS3.