Objective:The objective of this longitudinal study is to longitudinally monitor the lexical development and language proficiency of Mandarin-speaking children with cochlear implants (CI) over a three-year post-implantation period while also investigating whether early receptive and expressive vocabulary skills can serve as predictors for later language abilities in CI recipients.Methods:In this study, 42 children with CIs were selected as participants, including 19 males and 23 females, and with a mean age at CI activation of 16.6±4.9 months. Receptive and expressive vocabulary skills were assessed using the Infant Checklist of the Early Vocabulary Inventory for Mandarin Chinese (EVI) at one-year post-activation (T1). Additionally, expressive vocabulary sizes were evaluated using the EVI-Toddler Checklist, while syntactic ability was measured by the Grammatical Complexity test of the Mandarin-Chinese Communicative Developmental Inventory for Infants and Toddlers at two years post-activation (T2). The comprehensive language development level of preschool children, including language comprehension, expression, and grammar ability, was examined during the third year post-activation (T3) using the Revised Scale for Assessment of Language Disorders in Preschool Children. Data analysis was conducted using SPSS 22.0.Results:One year after CI activation, children exhibited a mean receptive vocabulary size of 155.7±52.8 and an expressive vocabulary size of 85.1±63.9. T2′s expressive vocabulary size was 455.7±167.7, while the Grammatical Complexity score was 36.5±13.0. The original language development score was determined to be 53.6±14.2 at T3. Correlation analysis revealed significant positive associations between T1′s receptive and expressive vocabulary with tests conducted at T2 and subsequent language development measured at T3 ( P<0.01). Furthermore, there was a significant correlation between expressive vocabulary at T1 and both tests conducted at T2 ( P<0.01), but no significant correlation with subsequent language development measured at T3. Regression analysis showed that T1 receptive vocabulary significantly predicted T2 expressive vocabulary and Grammatical Complexity scores and T3 language development scores. Moreover, the syntactic ability assessed during T2 independently predicted subsequent language proficiency measured at T3. Conclusions:Early receptive vocabulary and grammar ability two years post CI activation significantly predict later language proficiency in children with cochlear implants. Thus, during rehabilitation, emphasis should be placed on enhancing vocabulary and grammar comprehension.

Objective: To investigate the status and influencing factors of influenza vaccination among the elderly, so as to provide insights into improving the strategies for influenza vaccination among the elderly. Methods: Elderly people aged 60 years and above were recruited from one community each in five sub-districts of Shihezi City, Xinjiang Uygur Autonomous Region using a random sampling method. Demographic information, knowledge about influenza and influenza vaccines, vaccine literacy and influenza vaccination status in the past year were collected through questionnaire surveys. Factors affecting influenza vaccination among the elderly were analyzed using a multivariable logistic regression model. Results: Totally 1 121 valid questionnaires were recovered, with an effective recovery rate of 95.08%. There were 417 males (37.20%) and 704 females (62.80%). The majority were aged 60-<81 years, accounting for 80.37% (901 individuals). The awareness of knowledge about influenza and influenza vaccines was 78.86%. Low vaccine literacy was observed in 786 individuals, representing 70.12%. The influenza vaccination rate was 20.96%. Multivariable logistic regression analysis showed that age (71-<81 years, OR=1.607, 95%CI: 1.041-2.479; ≥81 years, OR=1.719, 95%CI: 1.040-2.842), educational level (middle school/technical secondary school, OR=0.616, 95%CI: 0.416-0.911), medical expense payment (employee medical insurance, OR=6.531, 95%CI: 2.030-21.010; resident medical insurance, OR=3.385, 95%CI: 1.095-10.466; public expense, OR=4.828, 95%CI: 1.700-13.712), vaccination willingness (yes, OR=6.237, 95%CI: 3.277-11.871), influenza vaccination history (yes, OR=14.600, 95%CI: 8.733-24.408) and vaccine literacy (medium and above, OR=2.412, 95%CI: 1.636-3.555) were associated with influenza vaccination among the elderly. Conclusion The influenza vaccination rate among the elderly was relatively low, and was mainly affected by age, educational level, medical expense payment, vaccination willingness, influenza vaccination history and vaccine literacy.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective:The objective of this longitudinal study is to longitudinally monitor the lexical development and language proficiency of Mandarin-speaking children with cochlear implants (CI) over a three-year post-implantation period while also investigating whether early receptive and expressive vocabulary skills can serve as predictors for later language abilities in CI recipients.Methods:In this study, 42 children with CIs were selected as participants, including 19 males and 23 females, and with a mean age at CI activation of 16.6±4.9 months. Receptive and expressive vocabulary skills were assessed using the Infant Checklist of the Early Vocabulary Inventory for Mandarin Chinese (EVI) at one-year post-activation (T1). Additionally, expressive vocabulary sizes were evaluated using the EVI-Toddler Checklist, while syntactic ability was measured by the Grammatical Complexity test of the Mandarin-Chinese Communicative Developmental Inventory for Infants and Toddlers at two years post-activation (T2). The comprehensive language development level of preschool children, including language comprehension, expression, and grammar ability, was examined during the third year post-activation (T3) using the Revised Scale for Assessment of Language Disorders in Preschool Children. Data analysis was conducted using SPSS 22.0.Results:One year after CI activation, children exhibited a mean receptive vocabulary size of 155.7±52.8 and an expressive vocabulary size of 85.1±63.9. T2′s expressive vocabulary size was 455.7±167.7, while the Grammatical Complexity score was 36.5±13.0. The original language development score was determined to be 53.6±14.2 at T3. Correlation analysis revealed significant positive associations between T1′s receptive and expressive vocabulary with tests conducted at T2 and subsequent language development measured at T3 ( P<0.01). Furthermore, there was a significant correlation between expressive vocabulary at T1 and both tests conducted at T2 ( P<0.01), but no significant correlation with subsequent language development measured at T3. Regression analysis showed that T1 receptive vocabulary significantly predicted T2 expressive vocabulary and Grammatical Complexity scores and T3 language development scores. Moreover, the syntactic ability assessed during T2 independently predicted subsequent language proficiency measured at T3. Conclusions:Early receptive vocabulary and grammar ability two years post CI activation significantly predict later language proficiency in children with cochlear implants. Thus, during rehabilitation, emphasis should be placed on enhancing vocabulary and grammar comprehension.

Objective We systematically analyze the changes in the count and function of platelet at the early sepsis based on clinical study and single cell sequencing.Methods Clinical data of sepsis patients at the early stage were collected and had been compared between different prognostic groups in the prospective case-control study.The independent risk factors of death were analyzed by logistic regression,and the predictive efficacy of clini-cal indicators was evaluated by receiver operating characteristic(ROC)curve.The healthy volunteers and sepsis patients were recruited.Clinical researchers collected peripheral venous blood samples for sorting cell samples to carry out single-cell RNA sequencing(sc-RNA seq).Through bioinformatics techniques,we analyzed the changes in platelet count,the significantly differential-expressed genes and its enriched functional signaling pathways in the early stages of sepsis.Results(1)A total of 224 patients were enrolled,with a 90 day survival rate of 70.5%.Compared with the survival group,the count of platelet and MAP in the death group at the early stage of sepsis were significantly lower,but the plasma lactate content and SOFA score were significantly higher.(2)Based on single cell sequencing technology,cells are annotated as six groups.The proportion of innate immune cells(neutrophils,monocytes,and dendritic cells)was significantly increased in the early stage of sepsis compared to the healthy volun-teers(2.15∶1),while platelets significantly decreased(0.31∶1).(3)Through bioinformatics technology,CD41/CD42a/CD61 was identified as platelet specific molecules,with significantly increased expression levels in sepsis.Three molecules can distinguish platelets together.(4)771 genes were significantly upregulated and 1101 genes were significantly downregulated in platelets of patients with sepsis,including core molecules involved in physiological functions such as cell adhesion,chemotaxis,and immune response.Functional analysis suggests that differentially expressed genes are enriched in coagulation,immune functions and cell death,participating in oxidative phosphory-lation,leukocyte chemotaxis,iron death,and NOD like receptor signaling pathways.Conclusion Reduced platelet count is associated with poor prognosis in the early stage of sepsis.The specific high expression molecules CD41/CD42a/CD61 that are significantly upregulated in platelets can serve as biomarkers for platelets.Platelets not only mediate cell adhesion and coagulation cascade,but also participate in functional changes such as immune cell chemotaxis,inflammatory response,and the pathological death of inflammatory cells.

Objective:To investigate the efficacy and safety of daratumumab (Dara) - combination regimens for newly diagnosed multiple myeloma (NDMM).Methods:A retrospective case series study was conducted. The clinical data of 34 patients with NDMM receiving treatment regimen including Dara from Qilu Hospital of Shandong University, Yantai Yuhuangding Hospital, Huangdao Branch of Affiliated Hospital of Qingdao University and Taian City Central Hospital between April 2020 and March 2022 were retrospectively collected. The efficacy, survival and adverse reactions of patients were analyzed. Cox proportional risk model was used to analyze the factors affecting overall survival (OS) and minimal residual disease (MRD) turning negative.Results:Among 34 patients with NDMM, there were 19 males and 15 females, with 21 cases aged < 65 years and 13 cases aged ≥65 years. The median follow-up duration [ M ( Q1, Q3)] was 22 months (19 months, 26 months), the median of Dara treatment cycles was 7 (5, 11), and the overall response rate (ORR) reached 97.1% (33/34). There were statistically significant differences in the optimal efficacy of patients stratified by receiving hematopoietic stem cell transplantation or not and receiving different treatment cycles (all P ≤ 0.05), while there were no statistically significant differences in patients stratified by other clinical features (all P > 0.05). The 1-year progression-free survival rate was 79.4% and the 1-year OS rate was 94.1%. Multivariate Cox regression analysis showed that the cycle number of treatment regimens containing Dara was an independent influencing factor of MRD turning negative (6 cycles vs. 2 cycles, HR = 0.267, 95% CI: 0.076-0.935, P = 0.039); age ≥ 65 years was an independent risk factor for OS ( HR = 35.313, 95% CI: 1.709-729.669, P = 0.021). The incidence of hematological adverse reactions grade 3 or above was 20.6% (7/34), and the non-hematological adverse reactions primarily included infection [44.1% (15/34)] and edema of extremity and trunk [41.2% (14/34)]. Conclusions:The Dara-based regimens for NDMM exhibit a high ORR. The remission depth accelerated with the increasing number of treatment cycle, and the adverse reactions are mild.

Objective This study aims to investigate the role of genes related to fatty acid metabolism in periodon-titis through machine learning and bioinformatics methods.Methods Periodontitis datasets GSE10334 and GSE-16134 were downloaded from the GEO database,and the fatty acid metabolism-related gene sets were obtained from the GeneCards database.Differentially expressed fatty acid metabolism-related genes(DEFAMRGs)in periodontitis were screened using the"limma"R package.Functional enrichment and pathway analyses were conducted.Recursive Feature Elimination,Least Absolute Shrinkage and Selection Operator,and Boruta algorithm were used to determine hub DEFAMRGs and construct diagnostic models with internal and external validation.Subtypes of periodontitis relat-ed to hub DEFAMRGs were constructed using consis-tency clustering analysis.CIBERSORT was used to ana-lyze immune cell infiltration in gingival tissues and ex-plore the correlation between hub DEFAMRGs and im-mune cells.Results A total of 113 periodontitis DE-FAMRGs were screened out as a result.The enrichment analysis results indicate that DEFAMRGs are mainly associat-ed with immune inflammatory responses and immune cell chemotaxis.Finally,8 hub DEFAMRGs(BTG2,CXCL12,FABP4,CLDN10,PPBP,RGS1,LGALSL,and RIF1)were identified and a diagnostic model(AUC=0.967)was con-structed,based on which periodontitis was divided into two subtypes.In addition,there is a significant correlation be-tween hub DEFAMRGs and different immune cell populations,with mast cells and dendritic cells showing higher cor-relation.Conclusion This study provides new insights and ideas for the occurrence and development mechanism of periodontitis and proposes a diagnostic model based on hub DEFAMRGs to provide new directions for diagnosis and treatment.

Objective:To investigate the clinical features of IgD multiple myeloma (MM) and the effect and prognosis of daratumumab-based combination therapy.Methods:The clinicopathological data of a IgD MM patient with disease progression and extramedullary infiltration treated with daratumumab in the Affiliated Hospital of Qingdao University in December 2019 were retrospectively analyzed.Results:The 74-year-old woman was diagnosed as IgD MM by bone marrow aspiration and immunofixation electrophoresis. The patient was given VD (bortezomib, dexamethasone), RD (lenalidomide, dexamethasone) and ID (ixazomib, dexamethasone) regimens. In June 2020, the patient developed multiple subcutaneous nodules, and she was assessed as progressive disease with extensive extramedullary infiltration. After treated with daratumumab-PAD (liposomal doxorubicin, bortezomib, dexamethasone) regimen, the patient's subcutaneous nodules were significantly reduced and partially disappeared, and the general condition was significantly improved. But the patient was in a cachexia state and finally died of the irregular treatment and disease progression.Conclusions:IgD MM has a low incidence and a short survival period, and there is no uniform standard treatment. The early application of daratumumab combined with proteasome inhibitors, immunomodulators, cytotoxic drugs and hematopoietic stem cell transplantation may improve the overall survival of patients.

Background: Although bone tissue engineering has already been applied clinically, its regeneration efficacy is not always sufficient. Local inflammatory cytokines are considered as the major factors that induce apoptosis of transplanted cells, thus leading to insufficient new bone formation. In this study, we focused on the effects of interleukin (IL)-6 and tumor necrosis factor-alpha (TNF-α) on differentiation and apoptosis of compact bone-derived cells (CBDCs). Methods: CBDCs were obtained from mouse legs and cultured. The effects of TNF-α and/or IL-6 on the osteogenic differentiation and apoptosis of CBDCs were analyzed in vitro. To confirm the expression of local inflammatory cytokines in vivo, CBDCs were transplanted to the back of immunocompetent mice. Results: IL-6 exerted inconsistent effects on the expression of the different osteogenic markers tested, while significantly upregulating Fas. By contrast, the addition of TNF-α dramatically reduced the expression of all tested osteogenic markers and increased Fas expression. The highest dose of IL-6 could partially reverse the repressive effect of TNF-α, while the addition of IL-6 further increased Fas expression in CBDCs compared to TNF-α alone. The results from in vivo experiments showed the presence of transplants with and without new bone formation. The transplants without bone formation were characterized by higher IL-6 and lower IL-10 expression than those with bone formation, while the expression of TNF-α did not show notable difference. Conclusion The results of this study suggest an important role for IL-6 in modulating the efficacy of bone tissue engineering, which can affect osteogenic cells both positively and negatively.