Technology and Health Care最新文献

{"title":"Detection of retinal nerve fiber layer in patients with high myopia complicated with glaucoma by optical coherence tomography.","authors":"Xin Wang, Yinglang Zhang, Hongbo Hu, Ning Wei","doi":"10.1177/09287329241296770","DOIUrl":"https://doi.org/10.1177/09287329241296770","url":null,"abstract":"<p><strong>Objective: </strong>To detect the changes in the thickness of the Retinal Nerve Fiber Layer (RNFL) in patients with High Myopia (HM) complicated with glaucoma through Optical Coherence Tomography (OCT).</p><p><strong>Methods: </strong>80 patients (160 eyes) with HM complicated with glaucoma treated from March 2018 to March 2020 were enrolled as the experimental group, and 60 healthy volunteers (120 eyes) undergoing physical examination in the same period were selected as the control group. OCT measured their RNFL thicknesses.</p><p><strong>Results: </strong>Compared with that in the control group, the nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness in the experimental group was significantly decreased, while the temporal RNFL thickness was significantly increased in the experimental group (<i>P </i>< 0.05). According to the diopter, patients in the experimental group were assigned into group A (<i>n </i>= 25, 50 eyes, diopter range: ≥ -6.00 D and ≤ -8.00 D), group B (<i>n</i> = 30, 60 eyes, diopter range: > -8.00 D and ≤ -10.00 D) and group C (<i>n</i> = 25, 50 eyes, diopter range: > -10.00 D). The nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness in group A were significantly greater than those in groups B and C (<i>P</i> < 0.05). Spearman correlation analysis revealed that the absolute value of diopter was negatively correlated with the nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness (<i>P</i> < 0.05), and positively correlated with the thickness of temporal RNFL (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>In patients with HM complicated with glaucoma, RNFL is thinner in all quadrants except for temporal RNFL.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296770"},"PeriodicalIF":1.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning for improved medical device management: A focus on infant incubators.","authors":"Lemana Spahić, Una Sredović, Zijad Kurpejović, Emina Mrdanović, Gurbeta Pokvić, Almir Badnjević","doi":"10.1177/09287329241292168","DOIUrl":"https://doi.org/10.1177/09287329241292168","url":null,"abstract":"<p><strong>Background: </strong>Poorly regulated and insufficiently maintained medical devices (MDs) carry high risk on safety and performance parameters impacting the clinical effectiveness and efficiency of patient diagnosis and treatment. As infant incubators are used as a form of fundamental healthcare support for the most sensitive population, prematurely born infants, special care mus be taken to ensure their proper functioning. This is done through a standardized process of post-market surveillance.</p><p><strong>Objective: </strong>To address the issue of faulty infant incubators being undetected and used between yearly post-market surveillance, an automated system based on machine learning was developed for prediction of infant incubator performance status.</p><p><strong>Methods: </strong>In total, 1997 samples were collected during the inspection process of infant incubator inspections performed by an ISO 17020 accredited laboratory at various healthcare institutions in Bosnia and Herzegovina. Various machine learning algorithms were considered, including Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB) and Logistic Regression (LR) for the development of the automated system.</p><p><strong>Results: </strong>The aforementioned algorithms were selected because of their ability to handle large datasets and their potential for achieving high prediction accuracy. The 0.93 AUC of Naïve Bayes indicates that it is overall stronger in predictive capabilities than decision tree and random forest which displayed superior accuracy in comparison to Naïve Bayes.</p><p><strong>Conclusion: </strong>The results of this study demonstrate that machine learning algorithms can be effectively used to predict infant incubator performance status on the basis of measurements taken during post-market surveillance. Adoption of these automated systems based on artificial intelligence will help in overcoming challenges of ensuring quality of infant incubators that are already being used in healthcare institutions.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241292168"},"PeriodicalIF":1.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive profiling of T-cell exhaustion signatures and establishment of a prognostic model in lung adenocarcinoma through integrated RNA-sequencing analysis.","authors":"Yingying Zhang, Jiaqi Cheng, Pingyan Jin, Lizheng Lv, Haijuan Yu, Chunxiao Yang, Shuai Zhang","doi":"10.1177/09287329241290937","DOIUrl":"10.1177/09287329241290937","url":null,"abstract":"<p><p>BackgroundT-cell exhaustion (TEX) in the tumor microenvironment causes immunotherapy resistance and poor prognosis.ObjectiveWe used bioinformatics to identify crucial TEX genes associated with the molecular classification and risk stratification of lung adenocarcinoma (LUAD).MethodsBulk RNA sequencing data of patients with LUAD were acquired from open sources. LUAD samples exhibited abnormal TEX gene expression, compared with normal samples. TEX gene-based prognostic signature was established and validated in both TCGA and GSE50081 datasets. Immune correlation and risk group-related functional analyses were also performed.ResultsEight optimized TEX genes were identified using the LASSO algorithm: <i>ERG</i>, <i>BTK</i>, <i>IKZF3</i>, <i>DCC</i>, <i>EML4</i>, <i>MET</i>, <i>LATS2</i>, and <i>LOX</i>. Several crucial Kyoto encyclopedia of genes and genomes (KEGG) pathways were identified, such as T-cell receptor signaling, toll-like receptor signaling, leukocytes trans-endothelial migration, Fcγ R-mediated phagocytosis, and GnRH signaling. Eight TEX gene-based risk score models were established and validated. Patients with high-risk scores had worse prognosis (P < 0.001). A nomogram model comprising three independent clinical factors showed good predictive efficacy for survival rate in patients with LUAD. Correlation analysis revealed that the TEX signature significantly correlated with immune cell infiltration, tumor purity, stromal cells, estimate, and immunophenotype score.ConclusionTEX-derived risk score is a promising and effective prognostic factor that is closely correlated with the immune microenvironment and estimated score. TEX signature may be a useful clinical diagnostic tool for evaluating pre-immune efficacy in patients with LUAD.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 2","pages":"848-862"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perioperative real-life experiences and care needs of patients undergoing lung cancer ablation: A qualitative study.","authors":"Lihua Huang, Xiaojun Pan, Jing Li, Hui Zhang, Yanjun Mao","doi":"10.1177/09287329241291419","DOIUrl":"10.1177/09287329241291419","url":null,"abstract":"<p><p>BackgroundLung cancer (LC) remains the most common malignancy in China with high mortality. The early stages of LC tend to manifest no apparent symptoms or only mild coughing, to which patients attach no importance.<b>Objective:</b> To gain an in-depth understanding of the perioperative real experiences and care needs of patients undergoing lung cancer ablation, to make a reliable basis for the construction of care programs for perioperative complications of lung cancer ablation, and to further improve the quality of perioperative clinical care interventions for such patients.MethodsSixteen lung cancer patients undergoing lung cancer ablation who were hospitalized in the Department of Oncology of our hospital from April 2023 to October 2023 as well as six healthcare professionals of Shanghai Pulmonary Hospital were recruited by purposive sampling. Semi-structured interviews were conducted with the enrolled individuals by using a phenomenological approach, and the Colaizzi's 7-step analysis method was used to analyze, summarize and refine the themes of the interview data.ResultsA total of seven study themes were identified emotional reactions of ablation patients, financial stress, needs for information on treatment outcomes and health education during recovery, reassurance of living and care needs during hospitalization, concerns about the treatment of complications, correct and detailed preoperative assessment, and doctor-nurse collaboration for good management of patient complications.ConclusionIn the clinical nursing of patients with lung cancer, we should construct standardized perioperative ablation nursing process as soon as possible, create diversified health guidance materials, strengthen the continuity of nursing after discharge, improve patients' understanding of the disease, pay attention to their emotional changes, and provide more maintenance support, so as to reduce complications and improve the quality of life of patients with lung cancer ablation.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1056-1065"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic value of colour Doppler ultrasound, serum <b>β</b>-hCG concentration, and progesterone concentration in ectopic pregnancy.","authors":"Wanyan Li, Zhike Liu, Yiqin Ma, Tingting Zhao, Yanyan Liu, Leilei Qin, Yuzhen Yue, Xiaofei Chu, Yayang Duan","doi":"10.1177/09287329241296379","DOIUrl":"10.1177/09287329241296379","url":null,"abstract":"<p><p>BackgroundThe rising incidence of ectopic pregnancy (EP) in China underscores the critical need for early and accurate diagnosis to achieve optimal patient outcomes. Colour Doppler ultrasound, β-hCG, and progesterone testing are essential tools in the detection of EP, with transvaginal ultrasound offering precise visualization of EP lesions. Lower levels of β-hCG and progesterone in EP cases compared to normal pregnancies serve as key diagnostic markers. Awareness of atypical symptoms is crucial to prevent missed or misdiagnosed cases, underscoring the importance of timely intervention to mitigate severe complications.ObjectiveTo investigate the differences in colour Doppler ultrasound findings, serum β-hCG levels, and progesterone levels between normal and ectopic pregnancies, in order to provide insights into the clinical diagnosis and treatment of EP.MethodsSixty patients who showed no gestational sac in the uterus during early pregnancy and were either highly suspected or pathologically confirmed to have EP were selected for this study. As controls, fifty women with normal pregnancies during the same period were also included. Colour Doppler ultrasound findings (endometrial thickness, pelvic effusion, uterine effusion, and adnexal mass), serum β-hCG levels, and progesterone levels were recorded and compared between the two groups.ResultsColour Doppler ultrasound showed that the EP group had significantly greater incidences of pelvic effusion, uterine effusion, and an adnexal mass than did the control group. Moreover, the EP patients had significantly thinner endometria (8.3 ± 3.37 mm vs. 16.12 ± 3.09 mm; <i>P </i>< 0.05), lower serum β-hCG levels (846.18-1444.09 vs. 2429.24-3020.56; <i>P </i>< 0.05), and lower progesterone levels (9.1 ± 7.19 vs. 17.66 ± 5.63; <i>P </i>< 0.05) than did the controls. Receiver operating characteristic (ROC) analysis revealed that endometrial thickness, serum β-hCG concentration, and progesterone concentration had considerably high area under the curve (AUC), sensitivity, and specificity for the diagnosis of EP.ConclusionColour Doppler ultrasound, serum β-hCG concentration, and progesterone concentration have high diagnostic value for EP.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"789-796"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetic retinopathy detection via deep learning based dual features integrated classification model.","authors":"T M Devi, P Karthikeyan, B Muthu Kumar, M Manikandakumar","doi":"10.1177/09287329241292939","DOIUrl":"10.1177/09287329241292939","url":null,"abstract":"<p><p>BackgroundThe primary recognition of diabetic retinopathy (DR) is a pivotal requirement to prevent blindness and vision impairment. This deadly condition is identified by highly qualified professionals by examining colored retinal images.ObjectiveThe physical diagnostics for this condition was time-consuming and prone to fault. The development of computer-vision based intelligent systems has develop a main research area to effectually diagnosis the pathologies from an image.MethodsIn this research, a novel Deep learning based Dual Features Integrated classification (DD-FIC) framework is designed to detect the DR from a color retinal image. Initially, the fundus images are denoised by Wavelet integrated Retinex (WIR) algorithm to remove the noise artifacts which provide high contrast image. This DD-FIC model contains two phases of feature extraction module to evaluation of several retinal areas. Initially, global features of the fundus image are retrieved by the assist of attention fused efficient model, whereas the attention module dynamically highlights the important features. Afterwards, the segmented retinal vessels data is converted into features for learning the local features.ResultsFinally, the collective of features is processed into the Random Forest based feature selection model for the optimal prediction with five different classes using multi-class support vector machine (MCSVM). The efficacy of the proposed DD-FIC framework is estimated by Kaggle dataset with the detection accuracy of 98.6%.<b>Conclusions:</b> The proposed framework rises the accuracy of 1.54%, 3.65%, 13.79% and 6.28% for Multi-channel CNN, CNN, VGG NiN and Shallow CNN respectively.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 2","pages":"1066-1080"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering diabetic foot ulcer prevention: A novel cloud-based plantar pressure monitoring system for enhanced self-care.","authors":"ShuiCai Wu, GuangYu Bin, WenFei Shi, Lan Lin, YongSong Xu, Dong Zhao, Stephen P Morgan, Shen Sun","doi":"10.1177/09287329241290943","DOIUrl":"10.1177/09287329241290943","url":null,"abstract":"<p><p>BackgroundThis study was prompted by the crucial impact of abnormal plantar pressure on diabetic foot ulcer development and the notable lack of its monitoring in daily life. Our research introduces a cloud-based, user-friendly plantar pressure monitoring system designed for seamless integration into daily routines.ObjectiveThis innovative system aims to enable early ulcer prediction and proactive prevention, thereby substantially improving diabetic foot care through enhanced self-care and timely intervention.MethodsA novel, user-centric plantar pressure monitoring system was developed, integrating a wearable device, mobile application, and cloud computing for instantaneous diabetic foot care. This configuration facilitates comprehensive monitoring at 64 underfoot points. It encourages user engagement in health management. The system wirelessly transmits data to the cloud, where insights are processed and made available on the app, fostering proactive self-care through immediate feedback. Tailored for daily use, our system streamlines home monitoring, enhancing early ulcer detection and preventative measures.ResultsA feasibility study validated our system's accuracy, demonstrating a relative error of approximately 4% compared to a commercial pressure sensing walkway. This precision affirms the system's efficacy for home-based monitoring and its potential in diabetic foot ulcer prevention, positioning it as a viable instrument for self-managed care.ConclusionsThe system dynamically captures and analyzes plantar pressure distribution and gait cycle details, highlighting its utility in early diabetic foot ulcer detection and management. Offering real-time, actionable data, it stands as a critical tool for individuals to actively participate in their foot health care, epitomizing the essence of self-managed healthcare practices.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"701-718"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The clinical value of spectral CT combined with targeted scanning technology in the diagnosis of invasive ground glass nodules in pulmonary adenocarcinoma.","authors":"Bing Lan, Jialin Zang, Bo Liu, Li Wang, Yuguang Wang, Bo Li, Chunlei Zheng, Bin Li, Tianyu Zhang","doi":"10.1177/09287329241291434","DOIUrl":"10.1177/09287329241291434","url":null,"abstract":"<p><p>BackgroundPulmonary adenocarcinoma, a predominant form of lung cancer, is characterized by diverse histopathological subtypes, including ground-glass nodules (GGNs), which may represent different degrees of malignancy. The accurate differentiation between invasive and non-invasive GGNs is paramount, as it significantly influences clinical management and treatment strategies.ObjectiveTo evaluate the clinical efficacy of spectral CT combined with targeted scanning in diagnosing invasive GGNs in pulmonary adenocarcinoma.MethodsA retrospective analysis of 120 patients with GGNs, who underwent spectral CT and targeted scanning at the Second Affiliated Hospital of Qiqihar Medical College (Nov 2021 - Dec 2022), was conducted. Patients were categorized based on postoperative pathology into non-invasive (66) and invasive (54) groups. Imaging features and values of various indicators including water concentration (WC), spectral curve slope (k value), and iodine concentration across different phases were analyzed and compared. Key independent factors for invasive GGN and the predictive value of the combined imaging technique were explored.ResultsThe invasive lesion group showed a higher incidence of fissure sign, spiculation sign, and bronchial inflation sign, along with increased values of WC, WCAP, and WCVP across phases (<i>p</i> < 0.05). These factors were identified as main influencers of invasive GGN, with OR values >1. The combined imaging parameters achieved an AUC of 0.914, sensitivity of 0.925, and specificity of 0.880, significantly outperforming individual indicators.ConclusionFissure sign, spiculation sign, bronchial inflation sign, WC, WCAP, and WCVP effectively predict invasive GGNs in pulmonary adenocarcinoma. Their combined application enhances predictive accuracy.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 2","pages":"922-930"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of using a multivariate serum biomarker model in early pregnancy to predict gestational hypertension.","authors":"Meixia Fang, Xiaoli Gao","doi":"10.1177/09287329241296399","DOIUrl":"10.1177/09287329241296399","url":null,"abstract":"<p><p>BackgroundWith the increasing need for early prediction and intervention of Pregnancy-Induced Hypertension (PIH), researchers have begun to explore the use of multiserum biomarker models to improve the accuracy and reliability of predictions. It is estimated that between 5% and 8% of pregnant women worldwide experience pregnancy-induced hypertension, which is one of the leading causes of maternal death and adverse neonatal outcomes. Given the potential negative impact of pregnancy-induced hypertension on maternal and infant health, early identification of high-risk individuals and appropriate preventive measures are particularly important.ObjectiveTo assess the feasibility of using a multivariate serum biomarker model in early pregnancy to predict gestational hypertension.MethodsRetrospective analysis was conducted on the clinical data of 125 pregnant women admitted to our hospital from January 2021 to December 2022. The occurrence of gestational hypertension was recorded and multiple serum biomarkers were collected and compared between the exposure and non-exposure groups. Logistic regression analysis was performed to identify influencing factors for gestational hypertension. Correlations between each factor and gestational hypertension were analyzed, and a line chart model was constructed. The discriminative ability of the model was evaluated using the C-index, and internal validation was conducted using ten-fold cross-validation and bootstrap validation.ResultsOut of 125 pregnant women, 35 (28.00%) developed gestational hypertension. β-HCG and Hcy were identified as independent risk factors, while PAPP-A, AFP, and uE3 were identified as independent protective factors. There was a positive correlation between Hcy, β-HCG, and gestational hypertension, and a negative correlation between PAPP-A, AFP, uE3, and gestational hypertension. The predictive line chart model had a C-index of 0.885 and an average AUC value of 0.853 after internal validation.Conclusionβ-HCG and Hcy are risk factors, while PAPP-A, AFP, and uE3 are protective factors for gestational hypertension. A line chart model based on these factors can help identify pregnant women at risk of developing gestational hypertension in early pregnancy.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 2","pages":"1046-1055"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143658829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of neurotensin in experimental terminal ileitis.","authors":"Hongyu Zhou, Quan He, Rong Xiao, Yeqing Chen, Feifei Zhu, Haojuan Zhu, Mingwei Han, Guohua Zhou","doi":"10.1177/09287329241295867","DOIUrl":"10.1177/09287329241295867","url":null,"abstract":"<p><p>BackgroundTerminal ileitis (TI) is an inflammatory condition of the distal portion of the ileum.ObjectiveTo investigate the changes and significance of neurotensin (NT) in the course of experimental terminal ileitis (ETI).MethodsA total of 90 Sprague Dawley (SD) rats were randomly divided into the control, model, and suture groups (30 rats in each group). After 2, 4, and 8 weeks of surgery, 10 TI tissues were taken for endoscopic observation in each group. Hematoxylin-eosin (HE) staining was used to detect the pathological changes. The NT levels in serum and terminal ileum mucosa were detected by Enzyme-linked immunosorbent assay (ELISA).ResultsAcute inflammatory changes were observed in the suture and the model groups after 2-week of operation. At 4 weeks, compared to the control group, the inflammatory damage in the model group became heavier, but it was reduced in the suture group. At 8 weeks, the model group showed chronic inflammation. However, there was no obvious inflammatory cell infiltration in both the suture group and control group. NT levels were increased in the suture and model groups at 2 weeks, particularly in the model group, and they were significantly higher in the suture and model groups than those in the control group (<i>P </i>< 0.05). At 4 weeks, the NT levels in the model group continued to rise, while they decreased in the suture group (<i>P </i>< 0.05). After 8 weeks, NT levels in the model group were significantly higher than those in the suture and control groups (<i>P </i>< 0.05). Furthermore, from 2 weeks to 8 weeks, the NT concentration in the model group gradually increased, and the suture group increased for 2 weeks, followed by a downward trend.<b>Conclusions:</b> In the ETI, the changes in NT concentration in serum and TI mucosa were positively correlated with the degree of inflammation.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 2","pages":"1081-1087"},"PeriodicalIF":1.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}