Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective To investigate the incidence and types of patient-ventilator asynchrony(PVA)in mechanically ventilated patients within the intensive care unit(ICU),and to identify associated high-risk factors,thereby providing a basis for reducing PVA,enhancing mechanical ventilation efficiency,and refining ventilation strategies.Methods A prospective observational study was conducted among patients admitted to the general ICU of the Affiliated Hospital of Guizhou Medical University from October to December 2024 who were receiving mechanical ventilation.Inclusion criteria were as follows:age ≥18 years and mechanical ventilation duration ≥12 hours.Exclusion criteria included complete controlled mechanical ventilation,palliative care or do-not-resuscitate status,and lack of informed consent.Senior respiratory therapists performed daily bedside observations of ventilator waveforms for 10～15 minutes between 08:00 and 12:00.PVA was diagnosed based on pressure-time and flow-time waveforms,with the types of PVA being recorded.Demographic and clinical data,including age,sex,body mass index(BMI),primary diagnosis,comorbidities,APACHEⅡ score at ICU admission,blood gas analysis,ventila-tion mode and parameters,analgesia and sedation status,duration of mechanical ventilation,and length of ICU stay,were collected.The incidence and types of PVA during the observation period were analyzed.Univariate and multivariate logistic regression analyses were performed to identify high-risk factors for PVA.Clinical outcomes were compared between patients with and without PVA.Results A total of 105 patients and 453 episodes of assisted mechanical ventilation waveforms were analyzed.Among these,60.95％(64/105)experienced at least one episode of PVA.Of the 453 ventilation waveforms assessed,35.76％(162/453)demonstrated PVA.The types of PVA,ranked by incidence,were as follows:cycling mismatch(12.58％,57/453),double triggering(11.92％,54/453),ineffective triggering(9.49％,43/453),flow starvation(5.30％,24/453),and exhalation flow limitation(1.77％,8/453).The incidence of PVA varied significantly across different ventilation modes:45.7％in volume-assist/control ventilation(V-A/C),38.1％in pressure-assist/control ventilation(P-A/C),42.9％in synchronized intermittent mandatory ventilation(SIMV),and 16.7％in pressure support ventilation(PSV)(P<0.001).Multi-variate logistic regression analysis revealed that the mechanical ventilation mode[reference:PSV;V-A/C:OR=4.687,95％CI:2.140～10.263,P<0.001;P-A/C:OR=2.922,95％CI:1.489～5.734,P=0.002;SIMV:OR=4.682,95％CI:1.758～12.466,P=0.002]and actual respiratory rate(OR=1.07,95％CI:1.016～1.127,P=0.011)were significant high-risk factors for PVA.Patients with PVA had a significantly longer duration of mechanical ventilation[8.21(5.35,13.91)days vs.3.00(1.96,5.71)days,P<0.001]compared to those without PVA.Conclusions PVA is commonly observed in ICU patients receiving assisted invasive mechanical ventilation,with cycling mismatch,double triggering,and ineffective triggering being the most prevalent types.The incidence of PVA tends to be lower when using the PSV mode.Clinically,real-time monitoring of patient-ventilator synchrony via ventilator waveforms,along with the optimization of ventilator modes and parameters,should be employed to minimize the occurrence of PVA and enhance the efficiency of mechanical ventilation.

Objective:To explore the relationship between depressive symptoms and stressors among post-graduates and the role of coping styles and psychological suzhi between them.Methods:A total of 775 postgradu-ates were recruited.They were assessed with the Center for Epidemiological Studies Depression Scale(CES-D),Psychological Stressors Scale of Postgraduates(PSSP),Simplified Coping Style Questionnaire(SCSQ),and Col-lege Students Psychological Suzhi Brief Mental Health Version(CSPS-B-MH).Results:The detection rate of de-pression among postgraduates was 52.0％.Postgraduate stressors were positively associated with depression(β=0.47).Coping styles played a partial mediating role in the relationship between stressors and depression in postgrad-uates,with the mediation effect accounting for 24.76％of the total effect.Psychological suzhi was shown to moder-ate the effect of stressors on depression(β=-0.07)and positive coping on depression(β=-0.05).Conclusion:Postgraduate stressors could affect depression through the mediating role of coping styles and the moderating role of psychological suzhi.

Objective:To evaluate the differential expression of RNA in blood monocytes in patients with Juvenile idiopathic arthritis (JIA) treated with TNF antagonists (TNFi), and to explore the effect and mechanism of gene expression on the efficacy of JIA.Methods:A total of 29 children with JIA treated with methotrexate (MTX) and TNFi in Guangzhou Women and Children′s Medical Center of Guangzhou Medical University from April 2021 to November 2023 were enrolled. After 6 months, the children were divided into two groups according to the treatment effect, 13 cases in the ineffective group and 16 cases in the effective group, the peripheral blood of the children was collected, the blood mononuclear cells were isolated for transcriptome sequencing, the differentially expressed genes between the groups were analyzed, the signaling pathways and metabolic pathways related to the efficacy of TNFi were analyzed by GO and KEGG enrichment, and the mechanism related to the efficacy of TNFi was explored. This study was approved by Medical Ethics Committee of the Guangzhou Women and Children′s Medical Center of Guangzhou Medical University (Ethics No.: 2023-330B00).Results:There was a statistically significant difference in the gender and age distribution between the two groups of children ( P<0.05), while no statistically significant differences were observed in disease duration, rheumatoid antibody levels, or JIA subtypes ( P> 0.05). After sequencing data quality control and comparison of reference genomes, a total of 18 523 protein-coding genes were identified in all children′s samples. A total of 705 differentially expressed genes (DEGs) were identified between the effective group and the invalid group through differential analysis, of which 579 were up-regulated in the effective group and 126 in the inactive group. GO function and KEGG pathway enrichment analysis showed that DEG was significantly enriched in 55 GO entries and 32 KEGG metabolic pathways, which were mainly related to IL-1β; production and regulation, cytokine production and regulation, cytokine-cytokine receptor interaction, immune response regulation, and Toll-like receptor signaling pathway. Conclusion:DEG between the effective and ineffective groups of TNFi treatment may be involved in the biological processes such as cytokine production and regulation, cytokine-receptor interaction, and immune response regulation, which will be helpful to predict the efficacy and prognosis of TNFi treatment for JIA.

Objective:To investigate the ability to diagnose, treat and manage kidney disease in Shanghai community health service centers.Methods:This was a cross-sectional survey. An online questionnaire survey was conducted in November 2023 among 248 Shanghai community health service centers and 2 140 general practitioners in Shanghai. The main topics of the institutional research were the kidney disease-related inspection items that medical institutions could carry out, the kidney disease diagnosis and treatment drugs, the kidney disease grass-roots management training, the opening of kidney disease clinics and the establishment of kidney disease standard diagnosis and treatment records. The main topics of the survey of general practitioners were general information, standardized diagnosis and management measures of kidney disease, knowledge based on the diagnosis and treatment guidelines of chronic kidney disease, and difficulties in standardized management of kidney disease.Results:Among the laboratory examination items in Shanghai community health service centers, the rates of routine urine (99.60%, 247 centers), renal function (95.16%, 236 centers) and urinary microalbumin (89.11%, 229 centers) were high. Among the imaging examinations, B-ultrasound of urinary system had the highest rate (92.34%, 229 centers). The preparation rate of kidney disease drugs varied widely among the centers, and the preparation rate of Chinese drugs such as Jinshuibao, nephritis Kangfu tablet and Shenshuaining was more than 90%. Sixty-six (26.61%) community health service centers had established kidney disease clinics. The overall accuracy rate of community general practitioners was 63.81% (13 656/21 400), of which the accuracy rate for diagnosis and screening method, referral indication and emergency dialysis indication was more than 85%, but the accuracy rate for drug treatment and careful medication was low at 28.93% (1 238/4 280) and 33.22% (711/2 140), respectively. There was a willingness for Community general practitioners to provide all aspects of life guidance for patients with kidney disease, but for patients with end-stage renal disease replacement therapy, there was a preference for this to be provided by the appropriate specialist.Conclusions:The community health service centers in Shanghai has already had the basic conditions for the management of kidney disease in terms of basic examination and testing equipment, drugs, etc. The community general practitioners have a certain knowledge of kidney disease, and the drug treatment needs to be strengthened.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

OBJECTIVE: To evaluate the differential expression of RNA in blood monocytes in patients with Juvenile idiopathic arthritis (JIA) treated with TNF antagonists (TNFi), and to explore the effect and mechanism of gene expression on the efficacy of JIA. METHODS: A total of 29 children with JIA treated with methotrexate (MTX) and TNFi in Guangzhou Women and Children's Medical Center of Guangzhou Medical University from April 2021 to November 2023 were enrolled. After 6 months, the children were divided into two groups according to the treatment effect, i.e., 13 cases in the ineffective group and 16 cases in the effective group, the peripheral blood of the children was collected, the blood mononuclear cells were isolated for transcriptome sequencing, the differentially expressed genes between the groups were analyzed, the signaling pathways and metabolic pathways related to the efficacy of TNFi were analyzed by GO and KEGG enrichment, and the mechanism related to the efficacy of TNFi was explored. This study was approved by Medical Ethics Committee of the Guangzhou Women and Children's Medical Center of Guangzhou Medical University (Ethics No.: 2023-330B00). RESULTS: There was a statistically significant difference in the gender and age distribution between the two groups of children (P < 0.05), while no statistically significant differences were observed in disease duration, rheumatoid antibody levels, or JIA subtypes (P > 0.05). After sequencing data quality control and comparison of reference genomes, a total of 18 523 protein-coding genes were identified in all children's samples. A total of 705 differentially expressed genes (DEGs) were identified between the effective group and the invalid group through differential analysis, of which 579 were up-regulated in the effective group and 126 in the inactive group. GO function and KEGG pathway enrichment analysis showed that DEG was significantly enriched in 55 GO entries and 32 KEGG metabolic pathways, which were mainly related to IL-1β production and regulation, cytokine production and regulation, cytokine-cytokine receptor interaction, immune response regulation, and Toll-like receptor signaling pathway. CONCLUSION DEG between the effective and ineffective groups of TNFi treatment may be involved in the biological processes such as cytokine production and regulation, cytokine-receptor interaction, and immune response regulation, which will be helpful to predict the efficacy and prognosis of TNFi treatment for JIA.
Humans ; Arthritis, Juvenile/blood* ; Female ; Male ; Child ; Methotrexate/therapeutic use* ; Child, Preschool ; Tumor Necrosis Factor-alpha/antagonists & inhibitors* ; Transcriptome ; Adolescent ; RNA/genetics* ; Signal Transduction ; Gene Expression Profiling

Objective:To evaluate the differential expression of RNA in blood monocytes in patients with Juvenile idiopathic arthritis (JIA) treated with TNF antagonists (TNFi), and to explore the effect and mechanism of gene expression on the efficacy of JIA.Methods:A total of 29 children with JIA treated with methotrexate (MTX) and TNFi in Guangzhou Women and Children′s Medical Center of Guangzhou Medical University from April 2021 to November 2023 were enrolled. After 6 months, the children were divided into two groups according to the treatment effect, 13 cases in the ineffective group and 16 cases in the effective group, the peripheral blood of the children was collected, the blood mononuclear cells were isolated for transcriptome sequencing, the differentially expressed genes between the groups were analyzed, the signaling pathways and metabolic pathways related to the efficacy of TNFi were analyzed by GO and KEGG enrichment, and the mechanism related to the efficacy of TNFi was explored. This study was approved by Medical Ethics Committee of the Guangzhou Women and Children′s Medical Center of Guangzhou Medical University (Ethics No.: 2023-330B00).Results:There was a statistically significant difference in the gender and age distribution between the two groups of children ( P<0.05), while no statistically significant differences were observed in disease duration, rheumatoid antibody levels, or JIA subtypes ( P> 0.05). After sequencing data quality control and comparison of reference genomes, a total of 18 523 protein-coding genes were identified in all children′s samples. A total of 705 differentially expressed genes (DEGs) were identified between the effective group and the invalid group through differential analysis, of which 579 were up-regulated in the effective group and 126 in the inactive group. GO function and KEGG pathway enrichment analysis showed that DEG was significantly enriched in 55 GO entries and 32 KEGG metabolic pathways, which were mainly related to IL-1β; production and regulation, cytokine production and regulation, cytokine-cytokine receptor interaction, immune response regulation, and Toll-like receptor signaling pathway. Conclusion:DEG between the effective and ineffective groups of TNFi treatment may be involved in the biological processes such as cytokine production and regulation, cytokine-receptor interaction, and immune response regulation, which will be helpful to predict the efficacy and prognosis of TNFi treatment for JIA.

Objective:To investigate the ability to diagnose, treat and manage kidney disease in Shanghai community health service centers.Methods:This was a cross-sectional survey. An online questionnaire survey was conducted in November 2023 among 248 Shanghai community health service centers and 2 140 general practitioners in Shanghai. The main topics of the institutional research were the kidney disease-related inspection items that medical institutions could carry out, the kidney disease diagnosis and treatment drugs, the kidney disease grass-roots management training, the opening of kidney disease clinics and the establishment of kidney disease standard diagnosis and treatment records. The main topics of the survey of general practitioners were general information, standardized diagnosis and management measures of kidney disease, knowledge based on the diagnosis and treatment guidelines of chronic kidney disease, and difficulties in standardized management of kidney disease.Results:Among the laboratory examination items in Shanghai community health service centers, the rates of routine urine (99.60%, 247 centers), renal function (95.16%, 236 centers) and urinary microalbumin (89.11%, 229 centers) were high. Among the imaging examinations, B-ultrasound of urinary system had the highest rate (92.34%, 229 centers). The preparation rate of kidney disease drugs varied widely among the centers, and the preparation rate of Chinese drugs such as Jinshuibao, nephritis Kangfu tablet and Shenshuaining was more than 90%. Sixty-six (26.61%) community health service centers had established kidney disease clinics. The overall accuracy rate of community general practitioners was 63.81% (13 656/21 400), of which the accuracy rate for diagnosis and screening method, referral indication and emergency dialysis indication was more than 85%, but the accuracy rate for drug treatment and careful medication was low at 28.93% (1 238/4 280) and 33.22% (711/2 140), respectively. There was a willingness for Community general practitioners to provide all aspects of life guidance for patients with kidney disease, but for patients with end-stage renal disease replacement therapy, there was a preference for this to be provided by the appropriate specialist.Conclusions:The community health service centers in Shanghai has already had the basic conditions for the management of kidney disease in terms of basic examination and testing equipment, drugs, etc. The community general practitioners have a certain knowledge of kidney disease, and the drug treatment needs to be strengthened.

Fifty whitespotted bamboo sharks (Chiloscyllium playgiosum) of both sexes were used to establish a large capacity variable domain of the new antigen receptor (VNAR) library with a total capacity of over 10⁹ colony-forming units (CFU). It was applied to screen VNARs against human serum albumin (HSA) and human transcription factor EB (TFEB), respectively. Meanwhile, VNAR libraries specific to HSA and TFEB with capacities above 10⁸ CFU were obtained following conventional immunization. These two approaches were systematically studied in terms of VNAR yield and composition. By comparing the VNAR sequences obtained from naïve and antigen-immunized libraries, we found that the complementary-determining region 3 (CDR3) of the former differs in composition from that of the latter. It shares a higher degree of homology with the naïve library. Meanwhile, the binding efficiency assessed by ELISA is also different between the naïve and antigen-immunized libraries. The binding of VNARs from the TFEB-immunized library appeared to surpass that observed with the naïve libraries, whereas the performance of VNARs from the HSA-immunized library indicated that both the immunized and naïve libraries for HSA had positive binding responses in polyclonal and monoclonal ELISA. The results are useful to develop novel diagnostic and therapeutic products based on shark VNARs.