Objective: To investigate the expression of peroxiredoxin 4 (PRDX4) in oral squamous cell carcinoma (OSCC) and its effect on the proliferation, migration, and invasion of OSCC cells. Methods: The Cancer Genome Atlas(TCGA) database was used to analyze the expression of PRDX4 in OSCC. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western Blot (WB) were used to detect the mRNA and protein expression of PRDX4 in OSCC cell lines and normal oral mucosal epithelial cells. PRDX4 was knocked down in CAL-27 cells and divided into two groups: the si-PRDX4 group and si-NC group. SCC-9 cells overexpressing PRDX4 were divided into two groups: the PRDX4 overexpression group (transfected with pcDNA3.1-PRDX4 plasmid) and the vector group (the control group; transfected with pcDNA3.1-NC plasmid). A cell counting kit-8 (CCK-8) and plate colony formation assay were used to detect cell proliferation. Transwell assay and cell scratch test were used to detect cell invasion and migration ability. WB was used to detect the effects of knockdown or overexpression of PRDX4, p38MAPK agonist or inhibitor on the expression of p38MAPK-related signaling pathway proteins, and epithelial mesenchymal transition proteins in OSCC cells. Results: PRDX4 was highly expressed in OSCC tissues and cell lines. The results of qRT-PCR and WB showed that PRDX4 was highly expressed in OSCC cell lines compared with normal oral mucosal epithelial cells. The CCK-8 assay showed that the si-PRDX4 group had significantly lower OD values than the si-NC group at 24, 48, and 72 h (P<0.05). The PRDX4 overexpression group had a significantly higher OD value than the vector group at 24, 48, and 72 h (P<0.05). The plate colony formation assay showed that the si-PRDX4 group had a significantly lower number of colonies than the si-NC group (P<0.05). The number of colonies formed in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The cell scratch test showed that the wound healing area of the si-PRDX4 group was less than that of the si-NC group (P<0.05). The scratch healing area of the PRDX4 overexpression group was significantly higher than that of the vector group (P<0.05). The Transwell invasion assay showed that the number of transmembrane cells in the si-PRDX4 group was lower than that in the si-NC group (P<0.05). The number of transmembrane cells in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The WB results showed that knockdown and overexpression of PRDX4 could downregulate and upregulate the expression of the p38MAPK signaling pathway and epithelial-mesenchymal transition related proteins, respectively, and the addition of p38MAPK agonist and inhibitor could significantly reverse the expression of related proteins. Conclusion PRDX4 is highly expressed in OSCC. Knocking down the expression of PRDX4 in OSCC cells can downregulate the expression of p38 MAPK signal axis and EMT-related signal proteins, thereby inhibiting the proliferation, migration, invasion, and epithelial-mesenchymal transition of cells.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective The core competence index system of nurses providing"internet+postpartum maternal and infant home care"service was constructed and preliminarily verified,so as to provide references for objective evaluation of their core competence.Methods Based on literature review and semi-structured interviews,the core competence index system of nurses in"internet+postpartum maternal and infant home care"service was initially constructed with the iceberg model as the theoretical framework.In April to May 2024,the indicators are organized and analyzed using the Delphi method to form a final indicator system.In December 2024,30 nurses providing"internet+postpartum maternal and infant home care"service in a tertiary A obstetrics and gynecology hospital in Hangzhou were selected as the survey subjects,and the index system was preliminarily verified by questionnaires.Results A total of 20 experts completed 2 rounds of correspondence.The authoritative coefficients of the 2 rounds of expert inquiry were 0.88 and 0.90,respectively;the Kendall coordination coefficients were 0.34 and 0.39,respectively(P＜0.001);the variation coefficients were 0～0.17 and 0.05～0.18,respectively.The final index system includes 3 first-class indicators,12 second-class indicators and 68 third-class indicators.The comprehensive,specialized,necessary,applicable,and overall satisfaction scores of the indicator system are(4.27±0.77)points,(4.43±0.56)points,(4.43±0.72)points,(4.47±0.56)points,and(4.46±0.56)points,respectively.Conclusion The core competence index system of nurses in"internet+postpartum maternal and infant home care"service is comprehensive,specialized,scientific and reliable,and can provide references for the training,assessment and evaluation of"internet+postpartum maternal and infant home care"talents.

Objective To explore the influencing factors of olfactory dysfunction in patients with Parkinson's disease(PD)and conduct a systematic review and Meta-analysis.Methods Articles on factors influencing olfactory dysfunction in PD were retrieved from databases including SinoMed,VIP,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,Web of Science,PubMed,Cochrane,Embase,and MEDLINE.The search period spanned from the inception of each database to November 30,2024.Results A total of 13 articles(with a total sample size of 2465)were included,with a total of 18 influencing factors summarized as two themes:core features and progression factors of PD,and individual background and environmental interaction factors.Meta-analysis showed that age(MD=1.01,95％CI:-0.46-2.49,P=0.18),smoking(OR=0.88,95％CI:0.57-1.37,P=0.57),and constipation(OR=1.22,95％CI:0.38-3.93,P=0.74)were not factors affecting olfactory dysfunction in PD patients.Conclusion Factors influencing olfactory dysfunction in PD are predominantly associated with non-motor symptoms.Intervention strategies targeting non-motor symptoms(such as improving sleep quality,vitamin D supplementation,and early cognitive training)may provide novel approaches for delaying the progression of olfactory dysfunction.

Objective:To explore the psychological experience of ICU nurses caring for young patients with suicide attempts in a general hospital, and to lay a foundation for the study of psychological adjustment and intervention for ICU nurses.Methods:Twelve ICU nurses who had experience of caring for suicide attempted- young patients from Sir Run Run Shaw Hospital Affiliated to Medical College of Zhejiang University were selected by using descriptive qualitative research method and the maximum difference method of the purposive sampling during October to December in 2023, and semi-structured in-depth personal interviews were conducted. Traditional content analysis method was used to sort out and analyze the data and extract the themes.Results:A total of 12 nurses completed the interview, 5 males, 7 females, aged 23-38(29.33 ± 4.14) years, three themes and seven sub-themes were extracted: psychological characteristics of care (avoidance of active communication, fear of care, empathy); the support required for nursing care (support from colleagues; support from nursing managers); self-growth after caregiving (self-growth in terms of life and death, and self-growth in terms of children′s education).Conclusions:ICU nurses have a certain degree of psychological pressure when taking care of young patients with suicide attempts, which will produce empathy for patients and affect their self-values. At the same time, they need support from colleagues and nursing managers. Therefore, general hospitals should pay attention to the psychological state of ICU nurses, carry out the targeted communication training and mental health support for ICU nurses, and help them gain positive nursing career growth and values.

Objective:To develop a Pain Management Nursing Competency Evaluation Index System for surgical nurses, providing a framework for assessing their pain management competency and guiding in-service training programs.Methods:From December 2023 to July 2024, a research team employed literature analysis, semi-structured interviews, expert consultations, and the analytic hierarchy process (AHP) to determine the content and weight of the competency evaluation index system. A cross-sectional survey was subsequently conducted using convenience sampling on 788 surgical nurses to test the internal consistency, test-retest reliability, and content validity of the index system.Results:The response rates for the two rounds of expert consultations were both 100% (46/46), with an expert authority coefficient of 0.921; the Kendall′s coefficients of expert opinions for the primary indicators were 0.106 and 0.245, respectively. The final index system included seven primary indicators (routine pain assessment, assessment and management of active and unexpected pain, pharmacological pain management, patient-controlled analgesia nursing, non-pharmacological pain management, pain related education for patients and their families, and professional development), 23 secondary indicators, and 78 tertiary indicators. The overall Cronbach α was 0.991, the test-retest reliability was 0.493, the item-level content validity index ranged from 0.96 to 1.00, and the scale-level content validity index was 0.98.Conclusions:The pain management nursing competency evaluation index system for surgical nurses is scientifically valid, reliable, and practical. It offers a solid foundation for evaluating the pain management competencies of surgical nurses and designing targeted in-service training programs.

Objective:To explore the impact of National Metabolic Management Center (MMC) mode on the metabolic indexes in different age patients with type 2 diabetic mellitus (T2DM).Methods:A prospective study method was used. A total of 798 T2DM patients underwent the MMC mode management in Shanghai Punan Hospital of Pudong New District from May 2021 to August 2024 were selected. The patients followed the MMC one-stop diagnosis and treatment management service standards to enter the registration, treatment, examination and follow-up processes. The average follow-up time was 12.0 months. The glucose and lipid metabolism indexes, blood pressure and body mass index (BMI) before intervention and after receiving the intervention by MMC were measured. The glucose and lipid metabolism indexes included triacylglycerol, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin. The control rates of blood glucose, blood lipid, blood pressure and BMI were calculated after intervention.Results:The triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention in patients with T2DM were significantly lower than those before intervention: (1.75 ± 1.63) mmol/L vs. (2.08 ± 1.74) mmol/L, (4.37 ± 1.11) mmol/L vs. (4.88 ± 1.24) mmol/L, (2.47 ± 0.92) mmol/L vs. (2.92 ± 0.98) mmol/L, (6.54 ± 1.71) mmol/L vs. (8.12 ± 3.05) mmol/L, (9.04 ± 3.49) mmol/L vs. (12.10 ± 5.28) mmol/L and (6.89 ± 1.23)% vs. (8.85 ± 2.31)%, the HDL-C after intervention was significantly higher than that before intervention: (1.21 ± 0.31) mmol/L vs. (1.13 ± 0.29) mmol/L, and there were statistical differences ( P<0.01). The control rates of blood lipid and blood glucose after intervention in patients with T2DM were significantly higher than those before intervention: 54.6% (436/798) vs. 37.3% (298/798) and 62.0% (495/798) vs. 26.1% (208/798), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with age <50 years and from 50 to 59 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, the HDL-C after intervention was significantly higher than that before intervention, and there were statistical differences ( P<0.05 or <0.01); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention, the patients with <50 years: 44.5% (114/256) vs. 27.7% (71/256) and 76.6% (196/256) vs. 28.9% (74/256), the patients with 50 to 59 years: 54.8% (86/157) vs. 28.0% (44/157) and 66.9% (105/157) vs. 24.8% (39/157), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure between before intervention and after intervention ( P>0.05). In T2DM patients with age from 60 to 69 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there was no statistical differences in HDL-C before intervention and after intervention ( P>0.05); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention: 59.0% (177/300) vs. 47.3% (142/300) and 53.3% (160/300) vs. 25.7% (77/300), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with aged ≥70 years, the total cholesterol, LDL-C, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there were no statistical difference in triacylglycerol, HDL-C and fasting blood glucose between before intervention and after intervention ( P>0.05); the control rate of blood glucose after intervention was significantly higher than that before intervention: 48.2% (41/85) vs. 22.4% (19/85), and there was statistical difference ( P<0.01); there were no statistical differences in the control rates of BMI, blood pressure and blood lipid between before intervention and after intervention ( P>0.05). Conclusions:The intervention based on MMC mode management could effectively improve the glucose and lipid metabolism in patients with T2DM, especially for patients with aged <70 years. However, additional health guidance is needed for patients with aged ≥ 70 years to further enhance their health benefits.

Objective:To evaluate the relationship between intraoperative hypothermia and early postoperative pulmonary complications (PPCs) in pediatric patients undergoing living donor liver transplantation (LDLT).Methods:This was a retrospective study. Medical records of pediatric patients of either sex, aged 4-24 months, diagnosed with congenital biliary atresia who underwent LDLT from January 2021 to March 2023 were collected from the electronic medical record system of Tianjin First Central Hospital. The collected data included general characteristics, intraoperative conditions, and PPCs such as postoperative pediatric acute respiratory distress syndrome, pneumonia, pleural effusion, atelectasis, and pulmonary edema within 1 week after operation. Additional indicators comprised the difference in systemic immune-inflammation index (SII) between 1 day before surgery and at the end of surgery (ΔSII), concentration of hypersensitive C-reactive protein (hs-CRP) at the end of surgery, postoperative mechanical ventilation time, and duration of intensive care unit stay. Pediatric patients were divided into PPCs group and non-PPCs group based on the development of PPCs. Logistic regression analysis was used to determine the relationship between factors associated with intraoperative hypothermia and PPCs.Results:A total of 226 pediatric patients were included in the study, with 126 cases in PPCs group and 100 cases in non-PPCs group. The results of logistic regression analysis showed that pre-reperfusion hypothermia, duration of hypothermia, ΔSII and concentrations of hs-CRP at the end of operation were independent risk factors for the occurrence of PPCs ( P<0.05). The area under the receiver operating characteristic curve of pre-reperfusion hypothermia and duration of hypothermia in predicting PPCs was 0.594 (95% confidence interval [ CI] 0.521-0.668, P=0.015) and 0.702 (95% CI 0.634-0.770, P<0.001), respectively. The area under the receiver operating characteristic curve of combination of factors associated with hypothermia (pre-reperfusion hypothermia, duration of hypothermia) and inflammatory indicators (ΔSII, plasma hs-CRP concentration at the end of surgery) in predicting PPCs was 0.977 (95% CI 0.959-0.995, P<0.001). Conclusions:Pre-reperfusion hypothermia and duration of hypothermia are independent risk factors for early PPCs in infants, and their predictive value for the development of PPCs is higher when combined with ΔSII and plasma hs-CRP concentration in pediatric patients undergoing LDLT.