Objective:To evaluate the efficacy and safety of Rituximab (RTX) combined with short-term use of glucocorticoids in the treatment of the initial episode of steroid-sensitive nephrotic syndrome (SSNS).Methods:A retrospective case summary.A total of 30 children with SSNS treated in the Department of Intrarenal Rheumatism and Immunology, Xuzhou Children′s Hospital from December 2021 to March 2023, were enrolled in this study.They were given a standard dose of RTX (375 mg/m 2) and glucocorticoids for a short term.The patients were followed up for 1 year, and the general condition, changes in CD19 + B lymphocytes expression after RTX treatment, the relapse rate, the median relapse-free survival and adverse reactions of RTX were recorded.Kaplan-Meier method was used to analyze the relapse-free survival time. Results:CD19 + B lymphocytes were depleted 2 weeks after RTX treatment, and the median time required for CD19 + B lymphocytes reconstitution was 5 months after RTX treatment.The 1-year relapse-free rate was 90.00%, and the median relapse-free survival was 11 months.The glucocorticoid discontinuation rate was 93.33% in 3 months after RTX treatment, and 100% in 6 and 12 months after RTX treatment.Adverse reactions included infusion reactions in 7 cases (23.33%), neutropenia/leukopenia in 5 cases (16.67%), hypoimmunoglobulinemia in 10 cases (33.33%), infections in 4 cases.One case was complicated with severe influenza A virus infection after CD19 + B lymphocytes reconstruction. Conclusions:A standard dose of RTX can significantly reduce the relapse frequency, maintain long-term remission of proteinuria, and reduce the dose of glucocorticoids in patients at the initial episode of SSNS.Thus, it is worthy of clinical promotion.

OBJECTIVE To explore and evaluate the machine learning model for prediction of bacterial bloodstream infections established based on routine test data.METHODS By means of retrospective survey,a total of 5 421 pa-tients who were hospitalized in 3 medical institutions from Jan.2015 to Dec.2022 were recruited as the research subjects,1 914 of whom were assigned as the bloodstream infection group,and 3 507 were assigned as the non-bloodstream infection group.The baseline data including gender and age and the results of routine laboratory tests were collected from the enrolled patients.The 3 types of machine learning algorithms,logistic regression,support vector machine and random forest,were respectively used for the screening of the optimal prediction model;the contribution of feature variables to the predictive capability of the model was interpreted through SHAP.The fea-ture variables of the model were optimized by using recursive feature elimination method,and the predictive effi-ciency of the model was evaluated by the area under the curve(AUC)of receiver operating characteristic(ROC)curves.RESULTS Totally 26 variables involving age,gender and blood routine test indexes were included.The random forest was chosen as the optimal machine learning algorithm for the establishment of prediction model for bloodstream infections,and the accuracy of the model was 0.709,with the AUC 0.706.The result of SHAP ex-planation indicated that the age,hematokrit and erythrocyte volume distribution width-CV had remarkable effect on the model's making right decisions.17 variables of the prediction model showed more remarkable effect than 26 variable on distinguishing from the gram-positive bacteria bloodstream infections from the gram-negative bacteria bloodstream infections,with the AUC 0.715,the sensitivity 0.701,the specificity 0.632.CONCLUSIONS The prediction model that is established based on the blood routine test indexes by machine learning algorithm can pre-dict the bacterial bloodstream infection.Meanwhile,the feature selection strategy can further improve the predic-tive efficiency of the model on basis of lowering the dimensionality.

OBJECTIVE To explore and evaluate the machine learning model for prediction of bacterial bloodstream infections established based on routine test data.METHODS By means of retrospective survey,a total of 5 421 pa-tients who were hospitalized in 3 medical institutions from Jan.2015 to Dec.2022 were recruited as the research subjects,1 914 of whom were assigned as the bloodstream infection group,and 3 507 were assigned as the non-bloodstream infection group.The baseline data including gender and age and the results of routine laboratory tests were collected from the enrolled patients.The 3 types of machine learning algorithms,logistic regression,support vector machine and random forest,were respectively used for the screening of the optimal prediction model;the contribution of feature variables to the predictive capability of the model was interpreted through SHAP.The fea-ture variables of the model were optimized by using recursive feature elimination method,and the predictive effi-ciency of the model was evaluated by the area under the curve(AUC)of receiver operating characteristic(ROC)curves.RESULTS Totally 26 variables involving age,gender and blood routine test indexes were included.The random forest was chosen as the optimal machine learning algorithm for the establishment of prediction model for bloodstream infections,and the accuracy of the model was 0.709,with the AUC 0.706.The result of SHAP ex-planation indicated that the age,hematokrit and erythrocyte volume distribution width-CV had remarkable effect on the model's making right decisions.17 variables of the prediction model showed more remarkable effect than 26 variable on distinguishing from the gram-positive bacteria bloodstream infections from the gram-negative bacteria bloodstream infections,with the AUC 0.715,the sensitivity 0.701,the specificity 0.632.CONCLUSIONS The prediction model that is established based on the blood routine test indexes by machine learning algorithm can pre-dict the bacterial bloodstream infection.Meanwhile,the feature selection strategy can further improve the predic-tive efficiency of the model on basis of lowering the dimensionality.

Objective:To evaluate the efficacy and safety of Rituximab (RTX) combined with short-term use of glucocorticoids in the treatment of the initial episode of steroid-sensitive nephrotic syndrome (SSNS).Methods:A retrospective case summary.A total of 30 children with SSNS treated in the Department of Intrarenal Rheumatism and Immunology, Xuzhou Children′s Hospital from December 2021 to March 2023, were enrolled in this study.They were given a standard dose of RTX (375 mg/m 2) and glucocorticoids for a short term.The patients were followed up for 1 year, and the general condition, changes in CD19 + B lymphocytes expression after RTX treatment, the relapse rate, the median relapse-free survival and adverse reactions of RTX were recorded.Kaplan-Meier method was used to analyze the relapse-free survival time. Results:CD19 + B lymphocytes were depleted 2 weeks after RTX treatment, and the median time required for CD19 + B lymphocytes reconstitution was 5 months after RTX treatment.The 1-year relapse-free rate was 90.00%, and the median relapse-free survival was 11 months.The glucocorticoid discontinuation rate was 93.33% in 3 months after RTX treatment, and 100% in 6 and 12 months after RTX treatment.Adverse reactions included infusion reactions in 7 cases (23.33%), neutropenia/leukopenia in 5 cases (16.67%), hypoimmunoglobulinemia in 10 cases (33.33%), infections in 4 cases.One case was complicated with severe influenza A virus infection after CD19 + B lymphocytes reconstruction. Conclusions:A standard dose of RTX can significantly reduce the relapse frequency, maintain long-term remission of proteinuria, and reduce the dose of glucocorticoids in patients at the initial episode of SSNS.Thus, it is worthy of clinical promotion.

Drug therapy is a common method to cure diseases and relieve symptoms.The value of patient-reported outcome(PRO)in evaluating the effect of drug therapy has been increasingly paid attention.The PRO scale is a standardized questionnaire,which can scientifically evaluate the experiences and subjective effects of drug use from a patient-centered perspective,and help patients and clinicians make more reasonable medication decisions.By reviewing and sorting out relevant global literature,this paper found that the content of the PRO scales relevant to drug therapy focused on five fields:"medication satisfaction""medication adherence""drug treatment burden""medication-related quality of life"and"adverse drug reactions".This paper described the basic information,measurement characteristics and application of common scales in recent years respectively,and summarized and analyzed the problems and enlightenment of scale development,aiming to provide theoretical reference for the selection,application and development of PRO scales.

Objective:To study the allocation status of traditional Chinese medicine health resources in Shanxi Province from 2009 to 2021,conduct a vertical evaluation of the operation efficiency of traditional Chinese medicine health resources in Shanxi Province,discuss the related causes,and propose improvement method.Methods:The Gini coefficient method was used to make statistical data of traditional Chinese medicine health resources in Shanxi Province according to population allocation,Lorentz curve was drawn to analyze the equity of resource allocation,and BCC model was used to evaluate the input-output efficiency of resources.Results:The allocation of TCM health resources per population in Shanxi Province was the shortest in 2014,showing a trend of first decreasing and then increasing.The data output of operation efficiency showed that the allocation of TCM health resources in Shanxi Province was DEA effective in 2013,2015,2017-2019 and 2021,weak in 2009-2012 and 2014,and non-DEA effective in 2016 and 2020.Conclusion:The health resources of traditional Chinese medicine invested in Shanxi are not reasonably matched,the utilization of resources is not sufficient,the technical efficiency and scale efficiency of operation need to be improved.The redundancy of health resources and the"increasing return to scale"phenomenon coexist.

Objective:To analyze the influencing factors of skull base reconstruction failure after endoscopic endonasal skull base surgery (EESBS).Methods:A retrospective analysis was performed on 228 EESBS cases at the Affiliated Hospital of Qingdao University from 2018 to 2023. The clinical features associated with skull base reconstruction and postoperative cerebrospinal fluid leakage were collected and analyzed. Lasso regression was initially used for exploratory analysis, and risk factors for reconstruction failure were subsequently evaluated using multifactorial logistic regression.Results:A total of 157 cases of EESBS were included, with an overall reconstruction failure rate of 11.5% (18/157). No patients who underwent second-stage reconstruction with a tipped mucosal flap or multilayered free mucosal and fascial repair experienced further postoperative cerebrospinal fluid leakage. Variables identified through Lasso regression included history of surgery, history of radiotherapy, and site of leakage. Multifactorial logistic analysis showed that history of radiotherapy ( OR=5.96, P=0.021) and site of leakage in the posterior skull base ( OR=8.70, P=0.003) were significant risk factors for failure of skull base reconstruction. Conclusion:In cases with a history of radiotherapy and/or posterior skull base lesions in the operative area, reconstruction strategies should be strengthened to improve the success rate of one-stage repair, in particular, when intraoperative cerebrospinal fluid leakage occurs.

Objective:To evaluate the diagnostic efficacy and practicality of the Jaundice color card (JCard) as a screening tool for neonatal jaundice.Methods:Following the standards for reporting of diagnostic accuracy studies (STARD) statement, a multicenter prospective study was conducted in 9 hospitals in China from October 2019 to September 2021. A total of 845 newborns who were admitted to the hospital or outpatient department for liver function testing due to their own diseases. The inclusion criteria were a gestational age of ≥35 weeks, a birth weight of ≥2 000 g, and an age of ≤28 days. The neonate′s parents used the JCard to measure jaundice at the neonate′s cheek. Within 2 hours of the JCard measurement, transcutaneous bilirubin (TcB) was measured with a JH20-1B device and total serum bilirubin (TSB) was detected. The Pearson′s correlation analysis, Bland-Altman plots and the receiver operating characteristic (ROC) curve were used for statistic analysis.Results:Out of the 854 newborns, 445 were male and 409 were female; 46 were born at 35-36 weeks of gestational age and 808 were born at ≥37 weeks of gestational age. Additionally, 432 cases were aged 0-3 days, 236 cases were aged 4-7 days, and 186 cases were aged 8-28 days. The TSB level was (227.4±89.6) μmol/L, with a range of 23.7-717.0 μmol/L. The JCard level was (221.4±77.0) μmol/L and the TcB level was (252.5±76.0) μmol/L. Both the JCard and TcB values showed good correlation ( r=0.77 and 0.80, respectively) and agreements (96.0% (820/854) and 95.2% (813/854) of samples fell within the 95% limits of agreement, respectively) with TSB. The JCard value of 12 had a sensitivity of 0.93 and specificity of 0.75 for identifying a TSB ≥205.2?μmol/L, and a sensitivity of 1.00 and specificity of 0.35 for identifying a TSB ≥342.0?μmol/L. The TcB value of 205.2?μmol/L had a sensitivity of 0.97 and specificity of 0.60 for identifying TSB levels of 205.2 μmol/L, and a sensitivity of 1.00 and specificity of 0.26 for identifying TSB levels of 342.0 μmol/L. The areas under the ROC curve (AUC) of JCard for identifying TSB levels of 153.9, 205.2, 256.5, and 342.0 μmol/L were 0.96, 0.92, 0.83, and 0.83, respectively. The AUC of TcB were 0.94, 0.91, 0.86, and 0.87, respectively. There were both no significant differences between the AUC of JCard and TcB in identifying TSB levels of 153.9 and 205.2 μmol/L (both P>0.05). However, the AUC of JCard were both lower than those of TcB in identifying TSB levels of 256.5 and 342.0 μmol/L (both P<0.05). Conclusions:JCard can be used to classify different levels of bilirubin, but its diagnostic efficacy decreases with increasing bilirubin levels. When TSB level are ≤205.2 μmol/L, its diagnostic efficacy is equivalent to that of the JH20-1B. To prevent the misdiagnosis of severe jaundice, it is recommended that parents use a low JCard score, such as 12, to identify severe hyperbilirubinemia (TSB ≥342.0 μmol/L).

Objective To compare the outcomes of transvaginal natural orifice transluminal endoscopic surgery(vNOTES)and laparoendoscopic single-site surgery(LESS)for total uterine excision in obese patients with benign uterine lesions,and to investigate the utility of vNOTES in this patient population.Methods A total of 100 obese patients(BMI>28.0 kg/m2)diagnosed with benign uterine lesions requiring total uterine and bilateral salpingectomy between January 2022 and January 2023 were included in this study.They were randomly assigned to two groups:the LESS group(n=51)and the vNOTES group(n=49).Patient demographics,surgical duration,intraoperative blood loss,changes in hemoglobin levels,pain scores,time to first flatus postoperatively,length of hospital stay,pelvic floor function,sexual quality of life,and postoperative complications were compared between the two groups.Results The two groups did not show any statistically significant differences in terms of blood loss,pre-and postoperative hemoglobin changes,pelvic floor function,sexual quality of life,or postoperative complications(P>0.05).However,the vNOTES group exhibited shorter surgical durations,time to first flatus postoperatively,and length of hospital stay compared to the LESS group(P<0.05).Additionally,the vNOTES group demonstrated lower intraoperative pain scores than the LESS group.(P<0.05).Conclusions In obese patients with benign uterine lesions,vNOTES total uterine excision surgery demonstrated shorter surgical durations and postoperative hospital stays,lower postoperative pain scores,and better adherence to the principles of en-hanced recovery after surgery(ERAS),indicating its potential for broader application.

Objective:To establish of a newmethod:for the rapid detection of H5N1-Avian Influenza virus by combining reverse transcription (RT), multiple cross displacement amplification (MCDA) and nanoparticle-based lateral flow biosensor (LFB).Methods:MCDA primers were designed based on gene sequences specific to Hemagglutinin (HA) and Neuraminidase (NA) in H5N1 avian influenza virus. The target genes HA and NA were amplified through reverse transcription and MCDA in one reaction system. Results were displayed by LFB. The assay was named as H5N1-mRT-MCDA-LFB. The reaction conditions of the H5N1-RT-MCDA-LFB method were optimized, and the sensitivity and specificity were also assessed.Results:The H5N1-RT-MCDA-LFB assay could achieve good amplification effect at a constant temperature of 65 ℃ for 40 minutes. The method had a lower limit of detection of 100 fg per reaction with 100-fold higher sensitivity than that of the RT-qPCR (lower limit of detection 10 pg per reaction). The assay was negative in detecting 28 common viruses, mycoplasmas, chlamydias, bacterias and funguses, except for H5N1. In addition, the H5N1-RT-MCDA-LFB method showed better validation in simulated clinical samples with a lower limit of detection at 1×10 2 copies/ml. Conclusion:The H5N1-RT-MCDA-LFB assay is a valuable molecular diagnostic technique for detecting H5N1 avian influenza virus due to its simplicity, rapidity, sensitivity and specificity.