Explore the vast range of titles available.

The optimal surgical approach and placement of plates for the treatment of distal third diaphyseal fracture of the humerus are the subjects of debate. The aim of this retrospective study was to evaluate the clinical and radiographic outcomes of modified medial minimally invasive plate osteosynthesis (MIPO) techniques using a double technique for the treatment of distal third diaphyseal fracture of the humerus. A total of 30 patients with a distal third diaphyseal fracture of the humerus were selected from our hospital. Patients were seen between January 2017 and October 2022. They were treated with a modified medial approach combined with MIPO using a double plate technique. Patient demographics, operation time, bleeding volume, union time, complications, the mean fracture length (FL) and distal cortical length (DCL), and the number of screws in the distal fragment were analyzed. The function of the shoulder and elbow was evaluated using Neer’s assessment of the shoulder and Mayo’s assessment of the elbow. The FL was 56.1 ± 7.2 mm and the DCL was 38.3 ± 5.3 mm. The mean operative time was 84.8 ± 13.4 min (range 60–110 min). The mean blood loss during surgical treatment was 46.5 ± 10.2 ml (range 30–60 ml). Bone healing was observed in all patients from 10 to 16 weeks (average 12.1 ± 1.7) postoperatively, and one case with poor surgical wound healing was recorded. All the patients had good function of both the shoulder and elbow. The maximum flexibility of the elbow ranged from 130° to 145° (average 138.1 ± 4.8°), with a maximum flexibility straightness ranging from 0° to 5° (average 2.2 ± 1.3°). The Mayo elbow joint function score was 80–100 (average 91.4 ± 5.0). The Neer shoulder joint function score ranged from 85 to 100 (average 92.5 ± 3.9). The modified medial approach was beneficial it did not cause any iatrogenic radial nerve or ulnar nerve injuries. The anterior and the medial side plates are fixed perpendicular to the distal humerus and provide excellent stability at the same time producing better shoulder and elbow joint function.

Depression is one of the most prevalent mental health disorders worldwide. Despite its significant impact on patients’ well-being, its etiology remains unclear, and diagnosis is often challenging. Currently, effective depression management requires long-term patient engagement, which includes consistent self-care, adherence to treatment plans, and ongoing mental health literacy. However, the quality of depression-related videos on short-video platforms varies widely, and some may contain misinformation that patients struggle to identify. This study aims to assess the information quality of depression-related short videos on TikTok (Douyin), the largest short-video platform in China. Based on the composite ranking, the top 200 depression-related videos on TikTok (Douyin) were rigorously screened by two independent psychiatrists according to predefined inclusion/exclusion criteria. Videos were categorized by publisher type, and detailed engagement metrics (likes, shares, comments, favorites) were recorded. Video quality was assessed using the Global Quality Scale (GQS), JAMA Benchmark Criteria, and the modified DISCERN tool (mDISCERN). Content analysis covered six key domains: definition, symptoms, risk factors, diagnosis, treatment, and outcomes. Finally, correlation analysis was conducted to evaluate the relationship between video quality and engagement metrics. The study ultimately included 121 depression-related videos, the majority of which (62%) were published by healthcare professionals, including psychiatrists (39.7%) and psychologists (13.2%). Overall, video quality was low, with median scores of 2 (IQR: 1–3) for both GQS and JAMA, and 0 (IQR: 0–1) for mDISCERN. In contrast, videos authored by psychiatrists provided more comprehensive coverage of depression-related content and demonstrated superior reliability and quality, with median scores of 3 (IQR: 2–3) for DISCERN, 2.5 (IQR: 2–3) for GQS, and 1 (IQR: 1–2) for JAMA. Notably, psychiatrist-produced videos also achieved higher public engagement metrics. Correlation analysis revealed a significant positive association between video quality scores and public engagement. Overall, the quality of depression-related video content on TikTok (Douyin) remains suboptimal and requires significant improvement. There is a pressing need for more high-quality, evidence-based depression-related videos to facilitate long-term and effective self-management among individuals with depression. Simultaneously, such efforts would help improve public awareness and accurate understanding of depression.

Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the spine and sacroiliac joints. Recent genetic studies suggest certain plasma proteins may play a causal role in AS development. This study aims to identify and characterize these proteins using Mendelian randomization (MR) and colocalization analyses. Plasma protein data were obtained from recent publications in , integrating data from five previous GWAS datasets, including 738 cis-pQTLs for 734 plasma proteins. GWAS summary data for AS were sourced from IGAS and other European cohorts. MR analyses were conducted using \"TwoSampleMR\" to assess causal links between plasma protein levels and AS. Colocalization analysis was performed with the coloc R package to identify shared genetic variants. Sensitivity analyses and protein-protein interaction (PPI) network analyses were conducted to validate findings and explore therapeutic targets. We performed Phenome-wide association study (PheWAS) to examine the potential side effects of drug protein on AS treatment. After FDR correction, eight significant proteins were identified: IL7R, TYMP, IL12B, CCL8, TNFAIP6, IL18R1, IL23R, and ERAP1. Elevated levels of IL7R, IL12B, CCL8, IL18R1, IL23R, and ERAP1 increased AS risk, whereas elevated TYMP and TNFAIP6 levels decreased AS risk. Colocalization analysis indicated that IL23R, IL7R, and TYMP likely share causal variants with AS. PPI network analysis identified IL23R and IL7R as potential new therapeutic targets. This study identified eight plasma proteins with significant associations with AS risk, suggesting IL23R, IL7R, and TYMP as promising therapeutic targets. Further research is needed to explore underlying mechanisms and potential for drug repurposing.

While anti-glomerular basement membrane (GBM) nephritis typically manifests with circulating antibodies targeting the GBM, atypical seronegative variants may occur. Henoch-Schönlein purpura nephritis (HSPN) is characterized by IgA-dominant immune complex deposition. The simultaneous presentation of these two distinct immune-mediated glomerulopathies poses unique diagnostic and therapeutic dilemmas, with limited cases reported in the literature. We describe a 16-year-old female presenting with rapidly progressive glomerulonephritis and cutaneous purpura. Initial serological testing was negative for anti-GBM antibodies. Renal biopsy was performed, with light microscopy showing segmental glomerulosclerosis. Immunofluorescence demonstrated distinctive dual deposition patterns: mesangial IgA consistent with HSPN and linear IgG along with capillary walls and GBM, confirming concurrent atypical anti-GBM nephritis. The patient responded favorably to combination therapy including glucocorticoids, immunosuppressants, and plasmapheresis, with subsequent improvement in renal function and resolution of symptoms. This case illustrates the diagnostic challenges posed by seronegative anti-GBM nephritis with HSPN overlap, emphasizing the critical role of histopathological examination in establishing the diagnosis. Our experience supports the efficacy of early, aggressive immunosuppressive therapy in such complex presentations. These findings warrant further investigation into the possible shared pathogenic mechanisms of these two disease entities.

Objective Chinese herbal medicine (CHM) is extensively utilized in managing hidden bleeding following an intertrochanteric femur fracture (IFF). Despite its widespread use, the most effective CHM approach for addressing hidden bleeding post-IFF remains unclear. A Bayesian network meta-analysis was conducted to identify a CHM that both effectively reduces hidden bleeding and stabilizes blood volume after IFF. Methods Comprehensive electronic searches were performed on databases in both Chinese and English, including the Chinese National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform (Wanfang), China Science and Technology Journal Database (VIP), PubMed, Web of Science, and Cochrane Library. All randomized controlled trials (RCTs) employing CHM to address hidden bleeding post-IFF, up to December 31, 2023, were thoroughly reviewed. The analysis utilized Stata17.0 and Review Manager 5.4 software, tailored to the frequentist framework. Results Thirty-one articles were included, encompassing 17 interventions and 2076 patients. The systematic analysis revealed that: For improving postoperative haemoglobin (HB), the top three interventions were conventional treatment combined with Yiqi Buxue decoction, Yangxue Rougan decoction, and Sanqi powder; For reducing hidden bleeding post-surgery, the leading interventions were conventional treatment combined with Siwu decoction, Yangxue Rougan decoction, and Qitian Keli prescription; For enhancing the Harris score, the top interventions were conventional treatment combined with Bazhen decoction, Danggui Buxue decoction, and Sanqi powder; Descriptive analysis indicated minimal adverse reactions and enhanced safety overall. Conclusion CHM presents a viable method for treating hidden blood loss after IFF. Yangxue Rougan decoction notably excels in reducing hidden bleeding and stabilizing HB levels, making it a preferred option. Nevertheless, further rigorous RCT studies are essential to compare various CHM treatments to establish the most effective options for clinicians. PROSPERO registration number CRD42023489292.

Recent studies have suggested that ferroptosis participates in various renal diseases. However, its effect on focal segmental glomerulosclerosis remains unclear. This study analyzed the GSE125779 and GSE121211 datasets to identify the differentially expressed genes (DEGs) in renal tubular samples with and without FSGS. The Cytoscape was used to construct the protein–protein interaction network. Moreover, the ferroptosis-related genes (FRGs) were obtained from the ferroptosis database, while ferroptosis-related DEGs were obtained by intersection with DEGs. The target genes were analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The GSE108112 dataset was used to verify the expression of target FRGs. Besides, we built the mRNA-miRNA network regarding FRGs using the NetworkAnalyst database, and circRNAs corresponding to key miRNAs were predicted in the ENCORI database. In this study, 16 ferroptosis-related DEGs were identified between FSGS and healthy subjects, while five co-expressed genes were obtained by three topological algorithms in Cytoscape. These included the most concerned Hub genes JUN, HIF1A, ALB, DUSP1 and ATF3. The KEGG enrichment analysis indicated that FRGs were associated with mitophagy, renal cell carcinoma, and metabolic pathways. Simultaneously, the co-expressed hub genes were analyzed to construct the mRNA-miRNA interaction network and important miRNAs such as hsa-mir-155-5p, hsa-mir-1-3p, and hsa-mir-124-3p were obtained. Finally, 75 drugs targeting 54 important circRNAs and FRGs were predicted. This study identified the Hub FRGs and transcriptomic molecules from FSGS in renal tubules, thus providing novel diagnostic and therapeutic targets for FSGS.

Objective: This study investigates risk factors for lower extremity deep vein thrombosis (LEDVT) after gynecologic laparoscopy and develops a predictive model. Methods: The Delphi method was used in expert opinion to identify risk factors for LEDVT. Patients undergoing gynecologic laparoscopic surgery from January 2018 to June 2023 were divided into LEDVT and non-LEDVT groups and matched as a ratio of 1:3. A nomogram model for LEDVT was established and compared to Caprini and G-Caprini scores. Results: A total of 191 patients with LEDVT and 573 matched patients without LEDVT were included. Multivariate logistic regression analysis showed that older age (OR = 1.146, P < 0.001), history of varicose veins (OR = 6.721, P = 0.011), gynecological malignancies (OR = 8.053, P < 0.001), longer operation time (OR = 1.010, P < 0.001), longer postoperative bed rest time (OR = 99.406, P < 0.001), without postoperative anticoagulation (OR = 0.282, P = 0.042), higher D-dimer (OR = 1.145, P = 0.015), lower direct bilirubin (OR = 0.715, P = 0.006) and lower hemoglobin (OR = 0.982, P = 0.016) are independent risk factors for LEDVT in patients undergoing gynecologic laparoscopic surgery. A nomogram model was established with an area under the receiver operating characteristic curve of 0.839, sensitivity of 78.0%, and specificity of 76.1%. Validation set showed that this predictive model had an ROC of 0.954, sensitivity of 92.6% and specificity of 96.7%. Conclusion: A nomogram model that includes age, history of varicose veins, gynecologic malignancies, operation time, postoperative bed rest time, postoperative anticoagulation, D-dimer, direct bilirubin, and hemoglobin could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery. The current nomogram model potentially helps to reduce the incidence of LEDVT and improve the quality of life.

Objective To investigate the risk factors associated with lower extremity deep vein thrombosis (LEDVT) and to establish a predictive model for patients who undergo gynecologic laparoscopic surgery. Methods A review of clinical data was conducted on patients who underwent gynecologic laparoscopic surgery between November 1, 2020, and January 31, 2022. Patients who developed LEDVT after surgery were included as the observation group, while the control group comprised patients who did not experience complications. Multivariate forward stepwise logistic regression models were used to identify independent risk factors associated with LEDVT. A nomogram model was then developed based on these risk factors. Results A total of 659 patients underwent gynecologic laparoscopic surgery during the study period, and 52 (7.89%) of these patients developed postoperative LEDVT. Multivariate logistic regression analysis showed that older age (adjusted OR, 1.085; 95% CI [1.034-1.138]; P<0.05), longer operation duration (adjusted OR, 1.014; 95% CI [1.009-1.020]; P<0.05), shorter activated partial thromboplastin time (APTT) (adjusted OR, 0.749; 95% CI [0.635-0.884]; P<0.05), higher D-dimer (adjusted OR, 4.929; 95% CI [2.369-10.255]; P<0.05), higher Human Epididymis Protein 4 (HE4) (adjusted OR, 1.007; 95% CI [1.001-1.012]; P<0.05), and history of hypertension (adjusted OR, 3.732; 95% CI [1.405-9.915]; P<0.05) were all independent risk factors for LEDVT in patients who underwent gynecologic laparoscopic surgery. A nomogram model was then created, which had an area under the curve of 0.927 (95% CI [0.893-0.961]; P<0.05), a sensitivity of 96.1%, and a specificity of 79.5%. Conclusions A nomogram model that incorporates information on age, operation duration, APTT, D-dimer, history of hypertension, and HE4 could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery, potentially helping to prevent the development of this complication.

A hypersurface x(M) in Lorentzian space R14 is called conformal homogeneous, if for any two points p, q on M, there exists σ, a conformal transformation of R14, such that σ(x(M)) = x(M), σ(x(p)) = x(q). In this paper, the authors give a complete classification for regular time-like conformal homogeneous hypersurfaces in R14 with three distinct principal curvatures.

Objective Systemic lupus erythematosus (SLE) patients are at risk during the COVID‐19 pandemic, yet the underlying molecular mechanisms remain incompletely understood. This study sought to analyze the potential molecular connections between COVID‐19 and SLE, employing a bioinformatics approach to identify effective drugs for both conditions. Methods The data sets GSE100163 and GSE183071 were utilized to determine share differentially expressed genes (DEGs). These DEGs were later analyzed by various bioinformatic methods, including functional enrichment, protein–protein interaction (PPI) network analysis, regulatory network construction, and gene–drug interaction construction. Results A total of 50 common DEGs were found between COVID‐19 and SLE. Gene ontology (GO) functional annotation revealed that “immune response,” “innate immune response,” “plasma membrane,” and “protein binding” were most enriched in. Additionally, the pathways that were enriched include “Th1 and Th2 cell differentiation.” The study identified 48 genes/nodes enriched with 292 edges in the PPI network, of which the top 10 hub genes were CD4, IL7R, CD3E, CD5, CD247, KLRB1, CD40LG, CD7, CR2, and GZMK. Furthermore, the study found 48 transcription factors and 8 microRNAs regulating these hub genes. Finally, four drugs namely ibalizumab (targeted to CD4), blinatumomab (targeted to CD3E), muromonab‐CD3 (targeted to CD3E), and catumaxomab (targeted to CD3E) were found in gene–drug interaction. Conclusion Four possible drugs that targeted two specific genes, which may be beneficial for COVID‐19 patients with SLE. (1) This study sought to analyze the potential molecular connections between COVID‐19 and systemic lupus erythematosus (SLE), employing a bioinformatics approach to identify effective drugs for both conditions. (2) Four drugs namely ibalizumab (targeted to CD4), blinatumomab (targeted to CD3E), muromonab‐CD3 (targeted to CD3E), and catumaxomab (targeted to CD3E) were found. (3) Four possible drugs that targeted two specific genes, which may be beneficial for COVID‐19 patients with SLE.