Objective:To explore the prognostic value of peripheral blood lymphocyte subsets in patients with newly diagnosed multiple myeloma (NDMM) .Methods:The study retrospectively analyzed 133 patients with NDMM admitted to the General Hospital of Tianjin Medical University General Hospital between 2017 and 2022. The least absolute shrinkage and selection operator (LASSO) regression was used to screen the predictive subgroups from the peripheral blood lymphocyte subsets, and the optimal cutoff value was calculated through receiver operating characteristic curve analysis. A nomogram was constructed based on the results of the multiple-factor analysis, and the predictive performance of the nomogram was evaluated by the concordance index and calibration curve. Kaplan-Meier curves and log-rank tests were conducted to compare the differences in overall survival (OS) and progression-free survival between the high-risk and low-risk immune risk scores groups.Results:Using LASSO regression, the percentages and absolute counts of CD16 +CD56 + NK cells, CD3 + T lymphocytes, CD3 +CD8 + T lymphocytes, and CD3 -CD19 + B lymphocytes were selected as predictive subgroups. The immune risk score of patients with NDMM was calculated based on the coefficients of each lymphocyte subgroup. The area under the curve of the immune risk score was 0.737, and the optimal cutoff value was -1.834. Based on this, the patients were divided into high-risk and low-risk groups. Survival analysis showed a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups (87.4% vs 49.0%, P<0.001), and a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups in patients with minimal residual disease negative (100% vs 68.6%, P=0.001). Multivariate analysis showed that serum calcium ( P=0.034), high-risk cytogenetic abnormalities ( P=0.002), and immune risk score ( P<0.001) were prognostic factors for patients with NDMM, and a nomogram was constructed based on these factors. The consistency index of the nomogram was 0.793, and the calibration curve showed good predictive ability. The nomogram can accurately classify the risk of different prognostic staging systems. Conclusions:The combined analysis of lymphocyte subsets in the peripheral blood has an important value in predicting the prognosis of patients with NDMM.

Critical care medicine(CCM)is a multifaceted discipline challenged by the inherent heterogeneity and complexity of critical illnesses.Establishing precise,standardized diagnostic and therapeutic systems has emerged as a crucial challenge requiring urgent resolution in this field.Surgical critical care,a pivotal branch of CCM,plays an indispensable role in managing patients with severe trauma,postoperative intra-abdominal infections,solid organ transplantation,and other life-threatening conditions.Evidence-based,etiology-guided therapy serves as the cornerstone of surgical critical care,where accurate identification and timely interventions constitute vital determinants for enhancing patient survival rates and improving prognoses.This article proposes an innovative diagnostic and therapeutic paradigm termed the urgency/physics-biology-chemistry(U/P-B-C)model.Built upon the established principle of urgent(urgency,U)life support in surgical critical care,this model emphasizes a novel conceptual framework centered on etiology-based(physics-biology-chemistry,P-B-C)diagnosis and treatment.Implementing the U/P-B-C innovative diagnostic and therapeutic model in surgical critical care facilitates precise identification of the fundamental pathological mechanisms underlying critical clinical conditions with complex and dynamic clinical environments,enables systematic clarification of clinical reasoning,and ultimately supports evidence-informed decision-making.Its core objectives encompass enhancing surgical intensivists' diagnostic-therapeutic capabilities and ensuring rigorous adherence to the principle of etiology-guided therapy,thereby providing both theoretical foundation and practical guidance for improving the success rate of patient resuscitation and optimizing prognosis in surgical critical care settings.

OBJECTIVE To evaluate the impact of the specialized centralized procurement policy for insulin on daily cost and affordability of insulin,and provide data support for the enhancement of relevant policies.METHODS In this research,the insulin purchasing data were obtained from provincial centralized procurement platforms in provinces before and after the specialized centralized procurement of insulin(October-December 2021 and October-December 2022),and the cost variations of insulin before and after the centralized procurement were analyzed by the defined daily dose cost(DDDc)of various types of insulins.The changes in the affordability of various types of insulins before and after the specialized centralized procurement were evaluated,using the percentage of annual expenditure on various types of insulins relative to annual per capita disposable income(i.e.the proportion of annual expenditure)as an indicator.RESULTS After the specialized centralized procurement,DDDc of various types of insulins decreased by 20.7%-71.8%,with an average reduction of 45.7%.Moreover,the reduction in DDDc for third-generation insulin exceeded that for second-generation insulin.The reduction in the proportion of annual expenditure on insulin ranged from 24.3%to 73.4%,with an average decrease of 48.5%.Premixed insulin analogs experienced the greatest reduction(73.4%).Following the specialized centralized procurement,DDDc of insulin decreased in all provinces.Except for Guangxi(10.2%),the average proportion of annual expenditure on insulin in the remaining provinces dropped to below 10%.CONCLUSIONS The specialized centralized procurement policy for insulin has significantly reduced insulin costs and improved affordability,thereby alleviating the economic pressure on patients with diabetes.There are notable cost disparities among provinces and among insulin categories,which require attention.

Objective:To explore the prognostic value of peripheral blood lymphocyte subsets in patients with newly diagnosed multiple myeloma (NDMM) .Methods:The study retrospectively analyzed 133 patients with NDMM admitted to the General Hospital of Tianjin Medical University General Hospital between 2017 and 2022. The least absolute shrinkage and selection operator (LASSO) regression was used to screen the predictive subgroups from the peripheral blood lymphocyte subsets, and the optimal cutoff value was calculated through receiver operating characteristic curve analysis. A nomogram was constructed based on the results of the multiple-factor analysis, and the predictive performance of the nomogram was evaluated by the concordance index and calibration curve. Kaplan-Meier curves and log-rank tests were conducted to compare the differences in overall survival (OS) and progression-free survival between the high-risk and low-risk immune risk scores groups.Results:Using LASSO regression, the percentages and absolute counts of CD16 +CD56 + NK cells, CD3 + T lymphocytes, CD3 +CD8 + T lymphocytes, and CD3 -CD19 + B lymphocytes were selected as predictive subgroups. The immune risk score of patients with NDMM was calculated based on the coefficients of each lymphocyte subgroup. The area under the curve of the immune risk score was 0.737, and the optimal cutoff value was -1.834. Based on this, the patients were divided into high-risk and low-risk groups. Survival analysis showed a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups (87.4% vs 49.0%, P<0.001), and a significant difference in the 3-year OS rate between the high-risk and low-risk immune risk score groups in patients with minimal residual disease negative (100% vs 68.6%, P=0.001). Multivariate analysis showed that serum calcium ( P=0.034), high-risk cytogenetic abnormalities ( P=0.002), and immune risk score ( P<0.001) were prognostic factors for patients with NDMM, and a nomogram was constructed based on these factors. The consistency index of the nomogram was 0.793, and the calibration curve showed good predictive ability. The nomogram can accurately classify the risk of different prognostic staging systems. Conclusions:The combined analysis of lymphocyte subsets in the peripheral blood has an important value in predicting the prognosis of patients with NDMM.

Objective:To investigate the effect of interaction between body mass index (BMI) and gender on the survival of advanced gastric cancer after immunotherapy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 317 patients with advanced gastric cancer who were admitted to the Nanfang Hospital, Southern Medical University from November 2019 to October 2023 were collected. There were 205 males and 112 females, aged 56 (range, 21-79)years. All 317 patients were divided into three groups based on BMI of patients, including 58 cases with BMI <18.5 kg/m2 were classified as the low body mass group, 183 cases with BMI 18.5-24.0 kg/m2 were classified as the normal body mass group, and 76 cases with BMI >24.0 kg/m2 were classified as the overweight or obese group. Patients included in the study were treated with a programmed death-ligand 1 (PD-L1) based immunotherapy regimen for 3 cycles based on their specific conditions, and further decision was made whether to undergo radical surgery or continue comprehensive treatment after evaluating the efficacy. Observation indicators: (1) clinicopathological characteristics of patients; (2) follow-up and mortality status; (3) analysis of factors affecting survival of patients with advanced gastric cancer after immunotherapy. Comparison of measurement data with normal distribution among groups was conducted using the ANOVA. Comparison of measurement data with skewed distribution among groups was conducted using the Kruskal-Wallis H test. Comparison of count data among groups was conducted using the chi-square test. The Cox proportional hazard model was used for univariate and multivariate analyses. Nonlinear trend was analyzed using the restricted cubic spline (RCS) curve, and trend and correction graphs were created using the rcssci package (v1.0). Results:(1) Clinicopathological characteristics of patients. There was no significant difference in gender, age, Borrmann classification, Lauren classification, combined positive score of PD-L1, expression of human epidermal growth factor receptor 2, Epstein-Barr virus infection, carcino-embryonic antigen, CA19-9, CA72-4, alpha-fetoprotein, conversion surgery among the 3 groups of patients ( P>0.05), and there was a significant difference in mismatch repair combined with micro-satellite stability among the 3 groups of patients ( P<0.05). (2) Follow-up and mortality status. Of the 317 patients, 316 cases completed follow-up and 1 case in the overweight or obese group was lost to follow-up. The follow-up time of the 316 cases was 13.8(range, 0.9-48.2)months. During the follow-up, the number of death in the low body mass group, normal body mass group and overweight or obese group were 27, 70 and 31, respectively. (3) Analysis of factors affecting survival of patients with advanced gastric cancer after immunotherapy. Results of multivariate analysis showed that gender and BMI were independent factors affecting survival of patients with advanced gastric cancer after immunotherapy ( hazard ratio=0.066, 0.922, 95% confidence interval as 0.005-0.846, 0.855-0.994, P<0.05). Results of further analysis showed that the interaction between BMI and gender was an independent factor affecting survival of patients with advanced gastric cancer after immuno-therapy ( hazard ratio=1.152, 95% confidence interval as 1.024-1.296, P<0.05). Results of Cox regre-ssion analysis based on different gender showed that took patients of the normal body mass group as a reference, the male patients of the low body mass group had a significantly increased risk of death, showing a significant statistically difference ( hazard ratio=1.809, 95% confidence interval as 1.037-3.155, P<0.05). Results of RCS curve analysis showed that there was a non-linear correlation between BMI and survival of patients with advanced gastric cancer after immunotherapy ( P<0.05). Results of corrected RCS curve analysis using the rcssci package showed that there was a U-shaped relationship between BMI and survival of patients with advanced gastric cancer after immuno-therapy ( P<0.05), with the optimal cut-off value of BMI as 22.2 kg/m 2. Results of RCS curve analysis based on different gender showed that there was a U-shaped relationship between BMI and survival of male patients with advanced gastric cancer after immunotherapy ( P<0.05), with the optimal cut-off value of BMI as 22.7 kg/m 2. Conclusions:Gender, BMI and the interaction between BMI and gender are independent factors affecting survival of patients with advanced gastric cancer after immuno-therapy. There is a U-shaped relationship between BMI and survival of patients, with the optimal cut-off value of BMI as 22.2 kg/m 2, and there is a U-shaped relationship between BMI and survival of male patients, with the optimal cut-off value of BMI as 22.7 kg/m 2.

Critical care medicine(CCM)is a multifaceted discipline challenged by the inherent heterogeneity and complexity of critical illnesses.Establishing precise,standardized diagnostic and therapeutic systems has emerged as a crucial challenge requiring urgent resolution in this field.Surgical critical care,a pivotal branch of CCM,plays an indispensable role in managing patients with severe trauma,postoperative intra-abdominal infections,solid organ transplantation,and other life-threatening conditions.Evidence-based,etiology-guided therapy serves as the cornerstone of surgical critical care,where accurate identification and timely interventions constitute vital determinants for enhancing patient survival rates and improving prognoses.This article proposes an innovative diagnostic and therapeutic paradigm termed the urgency/physics-biology-chemistry(U/P-B-C)model.Built upon the established principle of urgent(urgency,U)life support in surgical critical care,this model emphasizes a novel conceptual framework centered on etiology-based(physics-biology-chemistry,P-B-C)diagnosis and treatment.Implementing the U/P-B-C innovative diagnostic and therapeutic model in surgical critical care facilitates precise identification of the fundamental pathological mechanisms underlying critical clinical conditions with complex and dynamic clinical environments,enables systematic clarification of clinical reasoning,and ultimately supports evidence-informed decision-making.Its core objectives encompass enhancing surgical intensivists' diagnostic-therapeutic capabilities and ensuring rigorous adherence to the principle of etiology-guided therapy,thereby providing both theoretical foundation and practical guidance for improving the success rate of patient resuscitation and optimizing prognosis in surgical critical care settings.

Objective To observe the changes in the serum level of tumor necrosis factor-α(TNF-α)during pegylated interferon-alpha(PEG-IFN-α)treatment in inactive HBsAg carriers(IHCs),to investigate the association between the dynamic changes of TNF-α and HBsAg clearance,and to assess the value of TNF-α as a potential biomarker for predicting the therapeutic efficacy of PEG-IFN-α.Methods A prospective study was conducted among 455 IHCs who attended our hospital from January 2018 to March 2023,and they were divided into treatment group and IHC control group.The 210 IHCs in the treatment group voluntarily received PEG-IFNα-2b treatment for 48 weeks,followed by follow-up for 24 weeks,and the 245 IHCs in the IHC control group were followed up for 72 weeks without treatment.The serum level of TNF-α was measured at baseline(week 0)and at weeks 12,24,48,and 72,and at week 72,the treatment group was further divided into HBsAg clearance group and non-clearance group.The serum level of TNF-α at different time points was compared between groups.The logistic regression analysis was used to assess the value of TNF-α in predicting HBsAg clearance.The t-test was used for comparison of normally distributed continuous data between two groups,and a one-way analysis of variance used for comparison between multiple groups;the repeated measures analysis of variance was used for comparison of normally distributed repeated measurement data within each group and between groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Univariate and multivariate logistic regression analyses were used to investigate the predictive factors for HBsAg clearance,and the receiver operating characteristic(ROC)curve was used to determine the cut-off value of TNF-α in predicting HBsAg clearance.Results At week 72,compared with the IHC control group,the treatment group had significantly higher HBsAg clearance rate(46.2%vs 1.2%,χ2=133.333,P<0.001)and seroconversion rate(34.8%vs 0.8%,χ2=94.650,P<0.001).The HBsAg clearance group and the non-clearance group had a significant increase in the serum level of TNF-α during treatment,which gradually returned to the baseline level after drug withdrawal(F=351.733 and 76.434,both P<0.001).Comparisons between groups showed that the HBsAg clearance group had the highest serum level of TNF-α at weeks 12,24,and 48,followed by the non-clearance group and the IHC control group(all P<0.001).The multivariate logistic regression analysis showed that baseline HBsAg level(odds ratio[OR]=0.329,95%confidence interval[CI]:0.189-0.571,P<0.001),baseline HBV DNA<20 IU/mL(OR=1.414,95%CI:1.057-1.787,P=0.045),ALT≥2×upper limit of normal at week 12(OR=1.127,95%CI:1.028-1.722,P=0.043),TNF-α level at week 12(OR=1.336,95%CI:1.018-1.754,P=0.037),and TNF-α level at week 24(OR=1.879,95%CI:1.477-2.391,P<0.001)were independent predictive factors for HBsAg clearance.The ROC analysis showed that TNF-α level at week 12 had an area under the ROC curve(AUC)of 0.846(95%CI:0.814-0.889)in predicting HBsAg clearance at week 72,with a sensitivity of 76.3%and a specificity of 81.0%,while TNF-α level at week 24 had an AUC of 0.912(95%CI:0.758-0.972),with a sensitivity of 81.4%and a specificity of 96.2%.Conclusion PEG-IFN-α can increase the serum level of TNF-α in IHCs,and the serum level of TNF-α at weeks 12 and 24 can effectively predict HBsAg clearance induced by PEG-IFN-α.

Objective To explore the effect of music therapy on children with autism spectrum disorder(ASD).Methods A systematic search was conducted in databases including CNKI,Wanfang data,VIP,PubMed,Elsevier Sci-ence Direct and Google Scholar for randomized controlled trials(RCT)on the effect of music therapy on children with ASD.The search period was from database inception to April,2024.The control group received non-music therapy interventions,including medication,educational therapy,cognitive-behavioral therapy,and structured treatment.The observation group received music therapy.Studies were systematically reviewed following the Co-chrane Handbook for Systematic Reviews,with two researchers independently screening literatures,extracting data,and assessing the risk of bias in the included studies.Statistic analysis was performed using Review Manag-er 5.4.Results Nine RCTs were included,involving 828 patients from France,China,Norway,Iran,the United States and Aus-tralia.The intervention types mainly included music therapy,parent-child cooperative music therapy,Orff music therapy,group music therapy,improvisational music therapy,Orff-Schulwerk-based music therapy,music inter-vention and family-centered music therapy.The overall outcomes(SMD=-0.30,95%CI-0.55 to-0.04,P=0.02),language function(MD=-2.09,95%CI-2.89 to-1.30,P<0.001)and physical behavior(SMD=-0.27,95%CI-0.53 to-0.01,P=0.040)improved better in the observation group.Conclusion Music therapy can improve the overall outcome of children with ASD,especially in language function and physical behavior.

Objective:To investigate the effect of interaction between body mass index (BMI) and gender on the survival of advanced gastric cancer after immunotherapy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 317 patients with advanced gastric cancer who were admitted to the Nanfang Hospital, Southern Medical University from November 2019 to October 2023 were collected. There were 205 males and 112 females, aged 56 (range, 21-79)years. All 317 patients were divided into three groups based on BMI of patients, including 58 cases with BMI <18.5 kg/m2 were classified as the low body mass group, 183 cases with BMI 18.5-24.0 kg/m2 were classified as the normal body mass group, and 76 cases with BMI >24.0 kg/m2 were classified as the overweight or obese group. Patients included in the study were treated with a programmed death-ligand 1 (PD-L1) based immunotherapy regimen for 3 cycles based on their specific conditions, and further decision was made whether to undergo radical surgery or continue comprehensive treatment after evaluating the efficacy. Observation indicators: (1) clinicopathological characteristics of patients; (2) follow-up and mortality status; (3) analysis of factors affecting survival of patients with advanced gastric cancer after immunotherapy. Comparison of measurement data with normal distribution among groups was conducted using the ANOVA. Comparison of measurement data with skewed distribution among groups was conducted using the Kruskal-Wallis H test. Comparison of count data among groups was conducted using the chi-square test. The Cox proportional hazard model was used for univariate and multivariate analyses. Nonlinear trend was analyzed using the restricted cubic spline (RCS) curve, and trend and correction graphs were created using the rcssci package (v1.0). Results:(1) Clinicopathological characteristics of patients. There was no significant difference in gender, age, Borrmann classification, Lauren classification, combined positive score of PD-L1, expression of human epidermal growth factor receptor 2, Epstein-Barr virus infection, carcino-embryonic antigen, CA19-9, CA72-4, alpha-fetoprotein, conversion surgery among the 3 groups of patients ( P>0.05), and there was a significant difference in mismatch repair combined with micro-satellite stability among the 3 groups of patients ( P<0.05). (2) Follow-up and mortality status. Of the 317 patients, 316 cases completed follow-up and 1 case in the overweight or obese group was lost to follow-up. The follow-up time of the 316 cases was 13.8(range, 0.9-48.2)months. During the follow-up, the number of death in the low body mass group, normal body mass group and overweight or obese group were 27, 70 and 31, respectively. (3) Analysis of factors affecting survival of patients with advanced gastric cancer after immunotherapy. Results of multivariate analysis showed that gender and BMI were independent factors affecting survival of patients with advanced gastric cancer after immunotherapy ( hazard ratio=0.066, 0.922, 95% confidence interval as 0.005-0.846, 0.855-0.994, P<0.05). Results of further analysis showed that the interaction between BMI and gender was an independent factor affecting survival of patients with advanced gastric cancer after immuno-therapy ( hazard ratio=1.152, 95% confidence interval as 1.024-1.296, P<0.05). Results of Cox regre-ssion analysis based on different gender showed that took patients of the normal body mass group as a reference, the male patients of the low body mass group had a significantly increased risk of death, showing a significant statistically difference ( hazard ratio=1.809, 95% confidence interval as 1.037-3.155, P<0.05). Results of RCS curve analysis showed that there was a non-linear correlation between BMI and survival of patients with advanced gastric cancer after immunotherapy ( P<0.05). Results of corrected RCS curve analysis using the rcssci package showed that there was a U-shaped relationship between BMI and survival of patients with advanced gastric cancer after immuno-therapy ( P<0.05), with the optimal cut-off value of BMI as 22.2 kg/m 2. Results of RCS curve analysis based on different gender showed that there was a U-shaped relationship between BMI and survival of male patients with advanced gastric cancer after immunotherapy ( P<0.05), with the optimal cut-off value of BMI as 22.7 kg/m 2. Conclusions:Gender, BMI and the interaction between BMI and gender are independent factors affecting survival of patients with advanced gastric cancer after immuno-therapy. There is a U-shaped relationship between BMI and survival of patients, with the optimal cut-off value of BMI as 22.2 kg/m 2, and there is a U-shaped relationship between BMI and survival of male patients, with the optimal cut-off value of BMI as 22.7 kg/m 2.

Objective To observe the changes in the serum level of tumor necrosis factor-α(TNF-α)during pegylated interferon-alpha(PEG-IFN-α)treatment in inactive HBsAg carriers(IHCs),to investigate the association between the dynamic changes of TNF-α and HBsAg clearance,and to assess the value of TNF-α as a potential biomarker for predicting the therapeutic efficacy of PEG-IFN-α.Methods A prospective study was conducted among 455 IHCs who attended our hospital from January 2018 to March 2023,and they were divided into treatment group and IHC control group.The 210 IHCs in the treatment group voluntarily received PEG-IFNα-2b treatment for 48 weeks,followed by follow-up for 24 weeks,and the 245 IHCs in the IHC control group were followed up for 72 weeks without treatment.The serum level of TNF-α was measured at baseline(week 0)and at weeks 12,24,48,and 72,and at week 72,the treatment group was further divided into HBsAg clearance group and non-clearance group.The serum level of TNF-α at different time points was compared between groups.The logistic regression analysis was used to assess the value of TNF-α in predicting HBsAg clearance.The t-test was used for comparison of normally distributed continuous data between two groups,and a one-way analysis of variance used for comparison between multiple groups;the repeated measures analysis of variance was used for comparison of normally distributed repeated measurement data within each group and between groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Univariate and multivariate logistic regression analyses were used to investigate the predictive factors for HBsAg clearance,and the receiver operating characteristic(ROC)curve was used to determine the cut-off value of TNF-α in predicting HBsAg clearance.Results At week 72,compared with the IHC control group,the treatment group had significantly higher HBsAg clearance rate(46.2%vs 1.2%,χ2=133.333,P<0.001)and seroconversion rate(34.8%vs 0.8%,χ2=94.650,P<0.001).The HBsAg clearance group and the non-clearance group had a significant increase in the serum level of TNF-α during treatment,which gradually returned to the baseline level after drug withdrawal(F=351.733 and 76.434,both P<0.001).Comparisons between groups showed that the HBsAg clearance group had the highest serum level of TNF-α at weeks 12,24,and 48,followed by the non-clearance group and the IHC control group(all P<0.001).The multivariate logistic regression analysis showed that baseline HBsAg level(odds ratio[OR]=0.329,95%confidence interval[CI]:0.189-0.571,P<0.001),baseline HBV DNA<20 IU/mL(OR=1.414,95%CI:1.057-1.787,P=0.045),ALT≥2×upper limit of normal at week 12(OR=1.127,95%CI:1.028-1.722,P=0.043),TNF-α level at week 12(OR=1.336,95%CI:1.018-1.754,P=0.037),and TNF-α level at week 24(OR=1.879,95%CI:1.477-2.391,P<0.001)were independent predictive factors for HBsAg clearance.The ROC analysis showed that TNF-α level at week 12 had an area under the ROC curve(AUC)of 0.846(95%CI:0.814-0.889)in predicting HBsAg clearance at week 72,with a sensitivity of 76.3%and a specificity of 81.0%,while TNF-α level at week 24 had an AUC of 0.912(95%CI:0.758-0.972),with a sensitivity of 81.4%and a specificity of 96.2%.Conclusion PEG-IFN-α can increase the serum level of TNF-α in IHCs,and the serum level of TNF-α at weeks 12 and 24 can effectively predict HBsAg clearance induced by PEG-IFN-α.