Technology and Health Care最新文献

Background: Thanks to modern methods of assisted reproduction (ART), parenthood has become an attainable goal for couples in which the male partner has experienced spinal cord injury (SCI).

Objective: The aim of our study was to determine the success of the treatment of infertile patients with SCI with intracytoplasmic sperm injection (ICSI) of cryopreserved sperm obtained by the testicular sperm aspiration (TESA) procedure.

Methods: In this retrospective study 156 infertile couples were included, in which the male partner is primarily infertile due to azoospermia. Infertile couples were divided into two groups. The first group (n= 82) includes men with SCI, and the second (n= 74) men with obstructive azoospermia (OA) as the cause of infertility. All infertile men were examined and processed in the diagnostic procedure, and based on the urological findings, surgical extraction of sperm from the testicles was indicated. Exclusion criteria were the age of women over 40 and men over 45.

Results: We found that the quality of sperm was worse in the group with SCI, compared to the group with OA, but without statistical significance. Zenica and Johnsen score (p= 0.001; p= 0.000) showed worse semen characteristics in the group with SCI.     There were no significant differences in the average number of embryos (p= 0.698), pregnancy rates per cycle (p= 0.979) and pregnancy rates per embrio transfer (ET), clinical pregnancy rates per ET (p= 0.987) and delivery rates per ET (p= 0.804) in couples with SCI, compared to couples with OA.

Conclusion: Based on the results of this research, the TESA and ICSI procedures can be recommended as a successful method in the treatment of male infertility caused by azoospermia due to SCI.

Background: Liver fibrosis is a progressive liver disease with increasing incidence, yet its underlying pathogenic mechanisms remain incompletely understood.

Objective: : This study aims to explore potential therapeutic targets for liver fibrosis using weighted gene co-expression network analysis (WGCNA) and experimental validation.

Methods: We retrieved the microarray data (GSE174099) from the GEO database and performed differential expression analysis and WGCNA to identify co-expression modules associated with liver fibrosis. A module with the highest correlation to liver fibrosis was selected for further analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to investigate the biological functions and signaling pathways of the identified genes. Protein-protein interaction (PPI) networks were constructed using the STRING database. The correlation between core genes and immune cells was analyzed with the CIBERSORT algorithm. Additionally, pathological and molecular biology experiments were performed to validate the expression levels of core genes in liver tissue, including HE and Masson staining, immunohistochemistry, RT-qPCR, and Western blotting.

Results: We identified a total of 86 intersecting genes from the differential expression analysis and WGCNA. GO enrichment analysis revealed that these genes were involved in processes such as cellular response to cAMP, collagen-containing extracellular matrix, and G protein-coupled receptor binding. KEGG pathway analysis highlighted the involvement of these genes in pathways like Cell Adhesion Molecules and the PI3K-Akt signaling pathway. Using Cytoscape software, we identified four core genes: Cftr, Cldn4, Map2, and Spp1. Pathological examinations showed that the experimental group exhibited significant fibrous tissue proliferation compared to the control group. Immunohistochemistry, RT-qPCR, and Western blotting analyses confirmed that these core genes were significantly upregulated in the experimental group (P< 0.05).

Conclusion: This study identified four key genes (Cftr, Cldn4, Map2, Spp1) that are significantly associated with liver fibrosis. These genes are upregulated in liver fibrosis and could potentially as biomarkers for diagnosis and targets for therapeutic interventions.

Background: Non-specific lower back pain (NLBP) is treated with a variety of therapies, including health education, exercise therapy, soft tissue release, psychological interventions, and shockwave therapy. However, some studies have shown that core stability training or fascial release therapy alone is not effective in the treatment of low back pain.

Bjective: The aim of this study was to investigate the effects of core stability training on patients' inflammatory cytokine levels and lumbar muscle temperature when combined with fascial release for the treatment of non-specific low back pain.

Methods: In this study, a total of 60 patients with non-specific low back pain who were treated in Mindong Hospital of Ningde City between December 2021 and January 2023 were selected and randomly and equally divided into a control group (30 cases) and an experimental group (30 cases). The control group received core stability training, while the experimental group added fascial release surgery to this. We compared and assessed the pain visual analog score (VAS), Oswestry dysfunction index (ODI), lumbar spine mobility (including anterior flexion, posterior extension, left flexion, and right flexion), as well as levels of inflammatory factors IL-6, TNF-a, and muscle tissue temperature in the two groups.

Results: This study has been successfully implemented and covered 60 patients throughout the trials. Upon comparison, the two groups did not show statistically significant differences in baseline data such as age, gender and duration of disease (p> 0.05). After four weeks of treatment, the test group showed statistically significant (p< 0.05) differences in VAS scores, ODI scores, and IL-6 and TNF-a levels that were significantly lower than those of the control group. It is worth mentioning that the muscle tissue temperature of the patients in the test group, as well as their performance in lumbar anterior flexion, posterior extension, left flexion, and right flexion mobility, were significantly better than those of the control group, and these differences also showed statistical significance (p< 0.05).

Conclusion: The combination of core stability training and fascial release demonstrates significant clinical results in the treatment of nonspecific lower back pain. Through medical thermography and serum inflammatory factor testing, we were able to assess the treatment effect more objectively, providing a strong basis for future clinical practice.

Background: Liver cancer poses a significant health challenge due to its high incidence rates and complexities in detection and treatment. Accurate segmentation of liver tumors using medical imaging plays a crucial role in early diagnosis and treatment planning.

Objective: This study proposes a novel approach combining U-Net and ResNet architectures with the Adam optimizer and sigmoid activation function. The method leverages ResNet's deep residual learning to address training issues in deep neural networks. At the same time, U-Net's structure facilitates capturing local and global contextual information essential for precise tumor characterization. The model aims to enhance segmentation accuracy by effectively capturing intricate tumor features and contextual details by integrating these architectures. The Adam optimizer expedites model convergence by dynamically adjusting the learning rate based on gradient statistics during training.

Methods: To validate the effectiveness of the proposed approach, segmentation experiments are conducted on a diverse dataset comprising 130 CT scans of liver cancers. Furthermore, a state-of-the-art fusion strategy is introduced, combining the robust feature learning capabilities of the UNet-ResNet classifier with Snake-based Level Set Segmentation.

Results: Experimental results demonstrate impressive performance metrics, including an accuracy of 0.98 and a minimal loss of 0.10, underscoring the efficacy of the proposed methodology in liver cancer segmentation.

Conclusion: This fusion approach effectively delineates complex and diffuse tumor shapes, significantly reducing errors.

Background: Due to the high-risk nature of sepsis, emergency departments urgently need a simple evaluation method to assess the degree of inflammation and prognosis in sepsis patients, providing a reference for diagnosis and treatment.

Objective: To investigate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) combined with the blood urea nitrogen-to-serum albumin ratio (BAR) in sepsis.

Methods: A total of 377 sepsis patients admitted to Lishui People's Hospital from June 2022 to June 2023 were selected as the study subjects. Based on their prognosis, they were divided into a survival group (255 cases) and a death group (82 cases). The clinical data of the two groups were compared. Multivariate logistic analysis was used to identify factors influencing sepsis prognosis, and ROC curve analysis was used to assess the predictive efficacy of NLR, BAR, and their combination.

Results: Compared with survivors, non-survivors had higher NLR and BAR, with statistically significant differences (p< 0.05). After adjusting for confounding factors, NLR (OR = 1.052) and BAR (OR = 1.095) were found to be independent prognostic factors for sepsis patients (both p< 0.05). The AUC of NLR combined with BAR was 0.798 (95% CI 0.745-0.850, p< 0.05), higher than the AUC of NLR alone (0.776) and BAR alone (0.701).

Conclusions: The combination of NLR and BAR has a high predictive value for the prognosis of sepsis patients. Its simple calculation makes it particularly suitable for use in emergency departments.

Background: The incidence of posterior malleolus fractures in ankle fractures ranges from 7% to 44%. Studies have indicated a poorer prognosis for ankle joint function when a posterior malleolar fracture is present, underscoring the significance of active intervention for optimal postoperative ankle function recovery. Hence, the selection of treatment for such fractures holds particular importance.

Objective: Screw fixation is a key treatment for posterior malleolus fractures (PMFs) or Haraguchi Type 1 fractures involving less than 25% of the distal tibia's articular surface. However, the optimal screw placement direction - anteroposterior (AP) or posterior-anterior (PA) - remains debated. This meta-analysis aims to compare these two approaches for treating posterior ankle fractures, focusing on the efficacy of PA fixation.

Methods: We searched the Cochrane Library, EMBASE, PubMed, SinoMed, and Web of Science databases from their inception to October 20, 2022. Methodological quality was assessed using the Cochrane Collaboration's tool for assessing bias risk in randomized controlled trials (RCTs). Stata MP17 software was used to compare the American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot score, full weight-bearing time, and fracture healing time at the last follow-up between the two fixation methods.

Results: A total of 403 patients with posterior malleolar fractures from six RCTs met the inclusion criteria. The meta-analysis revealed a higher AOFAS score at the last follow-up for PA placement compared to AP placement [SMD = 0.512, 95% CI (0.244 to 0.780), z= 3.74, P< 0.001]. Postoperative full weight-bearing time and fracture healing time did not show statistically significant differences between the two groups.

Conclusion: PA fixation demonstrated a superior AOFAS score compared to AP fixation for posterior malleolar fractures. PA screw placement offers advantages in restoring ankle joint stability and enhancing joint function recovery post-surgery.

Background: Although literature suggests that exercise can improve symptoms in Parkinson's Disease (PD) patients, research on the effects of aerobic exercise and resistance training (AE&RT) in early-stage PD remains limited. Understanding the synergistic effects of these exercise modalities can provide valuable insights for optimizing exercise interventions for PD patients, particularly in the early stages of the disease, where interventions may have the greatest impact on long-term functional outcomes.

Objective: This study aimed to investigate the effects of a combined AE&RT program on motor function, postural stability, and cognitive processing speed in early stage PD patients.

Methods: A total of 236 participants with early-stage PD were assigned to either the Aerobic Exercise Group (AE group) (n= 112) or the AE&RT Group (n= 124) inthis controlled randomized trial. The study employed a one-year supervised exercise program, with the AE Group participating in aerobic activities and the AE&RT Group engaging in combined AE&RT. Outcome measures included symptom improvement, motor function, postural stability, cognitive processing speed, peak oxygen consumption, quality of life evaluation, and the incidence of adverse events.

Results: The AE&RT Group demonstrated greater improvements in tremor, muscle rigidity, gait instability, sleep problems, and hyposmia compared to the AE Group. Additionally, the combined exercise group exhibited better cognitive processing speed, as well as enhanced motor function and postural stability. Peak oxygen consumption was significantly higher in the AE&RT Group. However, the quality of life evaluation indicated a statistically higher quality of life in the AE Group. There was no significant difference in the incidence of adverse events between the two groups.

Conclusion: The findings suggest that the integration of AE&RT in early-stage PD patients leads to more comprehensive improvements in motor symptoms, cognitive function, postural stability, and cardiovascular fitness compared to aerobic exercise alone. These results have important implications for developing tailored exercise interventions to enhance the physical and cognitive well-being of individuals with early-stage PD.

Background: sTREM-1H and miR-126 play crucial roles in inflammation and immune responses, yet their involvement in patients with pulmonary infection following cranial injury remains understudied.

Objective: The distribution of pathogens causing infection in patients with pulmonary infection after craniocerebral injury was explored, and the changes in the levels of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and miR-126 in peripheral blood were analyzed.

Methods: In this study, 60 patients (study group) with postoperative lung infection in craniocerebral injury treated from January 2019 to December 2, 2021, and 60 patients without lung infection were selected as the control group. The study group received anti-infection treatment. The infection pathogen of the study group was tested, and the changes of sTREM-1 and miR-126 levels in the peripheral blood of the study and control groups were recorded to explore the diagnosis and predictive Value of prognostic death.

Results: 66 pathogens were detected, including 18 gram-positive bacteria, 42 gram-negative bacteria, and 6 fungi. The sTREM-1 level was higher than the control group, and the miR-126 level was lower than the control group. By ROC curve analysis, the diagnostic AUC values of both patients were 0.907 and 0.848, respectively (P< 0.05). Compared to those in the study group, patients had decreased sTREM-1 levels and increased miR-126 levels after treatment (P< 0.05). Compared with the survival group, patients in the death group had increased sTREM-1 levels and decreased miR-126 levels, and ROC curve analysis, the predicted AUC death values were 0.854 and 0.862, respectively.

Conclusion: Gram-negative bacteria, with increased peripheral sTREM-1 levels and decreased miR-126 levels. The levels of sTREM-1 and miR-126 have specific diagnostic and prognostic Values for pulmonary infection after craniocerebral injury. However, the study's conclusions are drawn from a limited sample and short-term data, which might limit their broader applicability. Future studies with larger populations and longitudinal designs are required to confirm these findings and determine these biomarkers' robustness across different settings. Further research should also explore how these biomarkers influence patient outcomes in craniocerebral injuries.

Background: Accurately identifying the branches of pulmonary segmental vessels and bronchi, as well as adjacent structures, and determining the spatial location of lesions within pulmonary segments, are major challenges for thoracic surgeons. The application of three-dimensional reconstruction technology holds promise in addressing this issue.

Objective: To evaluate the clinical value of three-dimensional reconstruction in thoracoscopic segmental surgery.

Methods: Seventy-seven patients who underwent thoracoscopic segmental surgery combined with three-dimensional reconstruction at our hospital from January 1, 2020, to August 31, 2023, were retrospectively analyzed. Preoperative chest enhanced CT scans were conducted, and MIMICS software aided in reconstructing DICOM format original data for patients with pulmonary nodules to facilitate intraoperative nodule localization. Accurate segmental pneumonectomy was performed by comparing preoperative anatomical identification of target segmental arteries, veins, and bronchi, with surgical details and postoperative outcomes recorded, including intraoperative pulmonary resection distribution, operation time, blood loss, chest tube drainage, extubation time, hospital stay, and complications.

Results: Following preoperative three-dimensional reconstruction, successful segmental lung surgeries were performed, predominantly with single segmental resection (92.2%), and a minority with combined segmentectomy (7.8%). Median operation time was 130225 minutes, with intraoperative blood loss at 70100 mL and postoperative chest tube drainage at 347 mL (159690 mL). Median extubation time and hospital stay were 4 days and 7 days, respectively. Complications within the 3-month follow-up affected 11.7% of cases, including persistent pulmonary leakage (7.1%), pulmonary infection (4.3%), atelectasis (4.3%), and pleural effusion (1.4%), with no fatalities.

Conclusion: Preoperative 3D reconstruction can help the operator to perform safe, efficient and accurate thoracoscopic segmental pneumonectomy, which is worth popularizing in clinic.

Background: Artificial intelligence (AI) acts as the state-of-the-art in periodontitis diagnosis in dentistry. Current diagnostic challenges include errors due to a lack of experienced dentists, limited time for radiograph analysis, and mandatory reporting, impacting care quality, cost, and efficiency.

Objective: This review aims to evaluate the current and future trends in AI for diagnosing periodontitis.

Methods: A thorough literature review was conducted following PRISMA guidelines. We searched databases including PubMed, Scopus, Wiley Online Library, and ScienceDirect for studies published between January 2018 and December 2023. Keywords used in the search included "artificial intelligence," "panoramic radiograph," "periodontitis," "periodontal disease," and "diagnosis."

Results: The review included 12 studies from an initial 211 records. These studies used advanced models, particularly convolutional neural networks (CNNs), demonstrating accuracy rates for periodontal bone loss detection ranging from 0.76 to 0.98. Methodologies included deep learning hybrid methods, automated identification systems, and machine learning classifiers, enhancing diagnostic precision and efficiency.

Conclusions: Integrating AI innovations in periodontitis diagnosis enhances diagnostic accuracy and efficiency, providing a robust alternative to conventional methods. These technologies offer quicker, less labor-intensive, and more precise alternatives to classical approaches. Future research should focus on improving AI model reliability and generalizability to ensure widespread clinical adoption.