Liang Shao, Ying Gao, Dan Zhang, Mengdan Yang, Mimi Jiang, Hongfeng Li, Yanting Yan
Background: non-small cell lung cancer (NSCLC) accounts for more than 80% of all lung cancer populations. Stereotactic radiotherapy (SBRT) is mainly suitable for early NSCLC patients who are not suitable for surgery or refuse surgery.
Objective: To analyze the effects of stereotactic radiotherapy (SBRT) plus immunotherapy for non-small cell lung cancer (NSCLC) patients on their immune status and survival quality.
Methods: NSCLC patients admitted to our hospital from 2019-2022 were divided into 61 cases in control group (SBRT) and 60 cases in observation group (SBRT plus immunotherapy) by the randomized numerical table method to compare the efficacy, the level of tumor markers in the serum, the level and activity of the immune cells in the peripheral blood and the Kahlil's functional status (KPS) scores.
Results: The observation group had a higher efficacy rate than that of the control group (P< 0.05). There was no statistical difference between the two groups in serum tumor marker content, immune cell level and activity in peripheral blood and KPS score before treatment (P> 0.05). After treatment, serum tumor markers were lower than those in control group, and immune cell level, NK cell-related activity and KPS score were higher than those in control group (P< 0.05).
Conclusion: SBRT plus immunotherapy can reduce the level of various tumor markers, improve the immune status and quality of survival for NSCLC patients.
{"title":"Effect of SBRT plus immunotherapy on immune status and survival quality of NSCLC patients: A study of combined radiotherapy and immunotherapy.","authors":"Liang Shao, Ying Gao, Dan Zhang, Mengdan Yang, Mimi Jiang, Hongfeng Li, Yanting Yan","doi":"10.3233/THC-241177","DOIUrl":"10.3233/THC-241177","url":null,"abstract":"<p><strong>Background: </strong>non-small cell lung cancer (NSCLC) accounts for more than 80% of all lung cancer populations. Stereotactic radiotherapy (SBRT) is mainly suitable for early NSCLC patients who are not suitable for surgery or refuse surgery.</p><p><strong>Objective: </strong>To analyze the effects of stereotactic radiotherapy (SBRT) plus immunotherapy for non-small cell lung cancer (NSCLC) patients on their immune status and survival quality.</p><p><strong>Methods: </strong>NSCLC patients admitted to our hospital from 2019-2022 were divided into 61 cases in control group (SBRT) and 60 cases in observation group (SBRT plus immunotherapy) by the randomized numerical table method to compare the efficacy, the level of tumor markers in the serum, the level and activity of the immune cells in the peripheral blood and the Kahlil's functional status (KPS) scores.</p><p><strong>Results: </strong>The observation group had a higher efficacy rate than that of the control group (P< 0.05). There was no statistical difference between the two groups in serum tumor marker content, immune cell level and activity in peripheral blood and KPS score before treatment (P> 0.05). After treatment, serum tumor markers were lower than those in control group, and immune cell level, NK cell-related activity and KPS score were higher than those in control group (P< 0.05).</p><p><strong>Conclusion: </strong>SBRT plus immunotherapy can reduce the level of various tumor markers, improve the immune status and quality of survival for NSCLC patients.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"485-494"},"PeriodicalIF":1.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037386","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}
Jing Zhan, Li Li, Zheng Cao, Gaoan Sheng, Weiwei Lou, Lieping Sheng, Litao Yao
Background: Fiber post (FP) reinforced restoration was widespread in endodontically treated teeth, of which the retention was closely related to fit and operation process. However, the question whether the fit and self-etching adhesive (SED) affect the success of FP restoration still remained unclear.
Objective: This research aimed to assess how the fit and self-etching adhesive (SED) impact the pull-out bond strength (BS) of glass fiber-reinforced composite posts from the root canal dentin.
Methods: Eighty lower first premolars underwent simulated endodontic treatment, after which their canals were shaped to accommodate a size three RelyX fiber post (FP) (diameter 1.9 mm). They were then divided into 4 equal groups [Unfit post and no SEA (Group UN), Fit post and no SEA (Group FN), Unfit post with SEA (Group UA) and Fit post with SEA (Group FA)] using two different sized FPs and SEA. Cement thickness was acquired by histological analysis and stereomicroscopy. Each sample was tested for pull-out strength through a universal testing machine. Based on the pull-out test, the failure types were observed and scored by visualizing through a stereomicroscope.
Results: Group FA demonstrated significantly greater BS compared to Group UN and Group UA, with Group UN showing a statistically significant difference at p< 0.01 and Group UA at p< 0.05. Main failure types in Group FA were Type II, which illustrated that the cement detachment mainly occurred from the post-cement interface. Therefore, Group FA possessed the STRONGEST BS and was most suitable for FP-reinforced crown restorations.
Conclusions: Both the fit and SEA enhanced the pull-out BS. The SEA was critical for BS promotion when the mechanical retention was inadequate.
{"title":"Effect of fit and self-etching adhesive on fiber post retention in endodontically treated teeth.","authors":"Jing Zhan, Li Li, Zheng Cao, Gaoan Sheng, Weiwei Lou, Lieping Sheng, Litao Yao","doi":"10.3233/THC-241020","DOIUrl":"10.3233/THC-241020","url":null,"abstract":"<p><strong>Background: </strong>Fiber post (FP) reinforced restoration was widespread in endodontically treated teeth, of which the retention was closely related to fit and operation process. However, the question whether the fit and self-etching adhesive (SED) affect the success of FP restoration still remained unclear.</p><p><strong>Objective: </strong>This research aimed to assess how the fit and self-etching adhesive (SED) impact the pull-out bond strength (BS) of glass fiber-reinforced composite posts from the root canal dentin.</p><p><strong>Methods: </strong>Eighty lower first premolars underwent simulated endodontic treatment, after which their canals were shaped to accommodate a size three RelyX fiber post (FP) (diameter 1.9 mm). They were then divided into 4 equal groups [Unfit post and no SEA (Group UN), Fit post and no SEA (Group FN), Unfit post with SEA (Group UA) and Fit post with SEA (Group FA)] using two different sized FPs and SEA. Cement thickness was acquired by histological analysis and stereomicroscopy. Each sample was tested for pull-out strength through a universal testing machine. Based on the pull-out test, the failure types were observed and scored by visualizing through a stereomicroscope.</p><p><strong>Results: </strong>Group FA demonstrated significantly greater BS compared to Group UN and Group UA, with Group UN showing a statistically significant difference at p< 0.01 and Group UA at p< 0.05. Main failure types in Group FA were Type II, which illustrated that the cement detachment mainly occurred from the post-cement interface. Therefore, Group FA possessed the STRONGEST BS and was most suitable for FP-reinforced crown restorations.</p><p><strong>Conclusions: </strong>Both the fit and SEA enhanced the pull-out BS. The SEA was critical for BS promotion when the mechanical retention was inadequate.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"287-297"},"PeriodicalIF":1.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141467","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}
Background: Intensive care unit acquired weakness (ICU-AW) is a secondary neuromuscular complication in critically ill patients, characterized by profound weakness in all four limbs. Studies have shown that bundles of care are nursing strategies that combine a series of evidence-based interventions, which collectively optimize patients' clinical outcomes compared to individual interventions.
Objective: This study aims to conduct a meta-analysis of the effects of bundle interventions on ICU-AW deeply exploring the characteristics of bundle interventions, patient outcomes related to ICU-AW, and primarily investigating the effects of bundle interventions on ICU-AW. The main focus is to explore the clinical value of bundle interventions in treatment of ICU-acquired weakness in patients.
Methods: Computer and manual searches were conducted using keywords to retrieve relevant studies on the effects of bundle interventions on ICU-AW from databases such as PubMed, Web of Science, Cochrane Library and EMbase. The search period ranged from database inception to the present. The control group received standard ICU care, including basic nursing, while the intervention group received bundle nursing interventions.
Results: A total of 10 randomized controlled trials (RCTs) involving 1545 participants (790 in the intervention group and 755 in the control group) were included. Meta-analysis results showed that the intervention group had significantly higher muscle strength (MD = 7.41, 95% CI: 6.65-8.16, P< 0.00001) and daily living ability (MD = 34.01, 95% CI: 32.54-35.48, P< 0.00001) than the control group. Additionally, the incidence of ICU-AW (OR = 0.39, 95% CI: 0.26-0.59, P< 0.00001), mechanical ventilation time (MD =-3.71, 95% CI: -3.58∼-2.76, P< 0.0001), and ICU length of stay (MD =-2.73, 95% CI: -3.14∼-2.31, P< 0.00001) were significantly lower in the intervention group than in the control group.
Conclusion: ICU-AW has a severe negative impact on the recovery and functional restoration of ICU patients, increasing the treatment complexity for healthcare providers and the mortality and disability rates for patients. The bundled care approach may help reduce the incidence of ICU-AW, promote the restoration of daily activity function, enhance muscle strength, and reduce ICU stay and mechanical ventilation time for ICU patients. However, the long-term effects of bundle interventions still require further in-depth research.
{"title":"Meta-analysis of the effects of bundle interventions on ICU-acquired weakness intervention.","authors":"Yan Zhou, Yubao Liu, Yutong Han, Hongxia Yan","doi":"10.3233/THC-241542","DOIUrl":"10.3233/THC-241542","url":null,"abstract":"<p><strong>Background: </strong>Intensive care unit acquired weakness (ICU-AW) is a secondary neuromuscular complication in critically ill patients, characterized by profound weakness in all four limbs. Studies have shown that bundles of care are nursing strategies that combine a series of evidence-based interventions, which collectively optimize patients' clinical outcomes compared to individual interventions.</p><p><strong>Objective: </strong>This study aims to conduct a meta-analysis of the effects of bundle interventions on ICU-AW deeply exploring the characteristics of bundle interventions, patient outcomes related to ICU-AW, and primarily investigating the effects of bundle interventions on ICU-AW. The main focus is to explore the clinical value of bundle interventions in treatment of ICU-acquired weakness in patients.</p><p><strong>Methods: </strong>Computer and manual searches were conducted using keywords to retrieve relevant studies on the effects of bundle interventions on ICU-AW from databases such as PubMed, Web of Science, Cochrane Library and EMbase. The search period ranged from database inception to the present. The control group received standard ICU care, including basic nursing, while the intervention group received bundle nursing interventions.</p><p><strong>Results: </strong>A total of 10 randomized controlled trials (RCTs) involving 1545 participants (790 in the intervention group and 755 in the control group) were included. Meta-analysis results showed that the intervention group had significantly higher muscle strength (MD = 7.41, 95% CI: 6.65-8.16, P< 0.00001) and daily living ability (MD = 34.01, 95% CI: 32.54-35.48, P< 0.00001) than the control group. Additionally, the incidence of ICU-AW (OR = 0.39, 95% CI: 0.26-0.59, P< 0.00001), mechanical ventilation time (MD =-3.71, 95% CI: -3.58∼-2.76, P< 0.0001), and ICU length of stay (MD =-2.73, 95% CI: -3.14∼-2.31, P< 0.00001) were significantly lower in the intervention group than in the control group.</p><p><strong>Conclusion: </strong>ICU-AW has a severe negative impact on the recovery and functional restoration of ICU patients, increasing the treatment complexity for healthcare providers and the mortality and disability rates for patients. The bundled care approach may help reduce the incidence of ICU-AW, promote the restoration of daily activity function, enhance muscle strength, and reduce ICU stay and mechanical ventilation time for ICU patients. However, the long-term effects of bundle interventions still require further in-depth research.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"671-683"},"PeriodicalIF":1.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142299294","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}
Guoyu Wang,Yang Han,Juhua Zhuang,Zhongchao Mai,Wei Xia,Ying Ye
BACKGROUNDHepatocellular carcinoma (HCC) is the third leading cause of cancer-attributed mortality and the primary liver malignancy in the world. Echinacoside is a phenylethanoid glycoside derived from traditional Chinese medicinal herbs which possessed multiple health benefits on humans, including anti-tumor effects.OBJECTIVEThis study aimed to demonstrate the function of echinacoside in HCC progression and the involvement of miR-30c-5p/FOXD1/KLF12 axis.METHODSThe HepG2 cells were treated by different dose of echinacoside, miR-30c-5p mimic, miR-30c-5p inhibitor, and FOXD1 overexpression lentiviruses or siRNA individually or simultaneously. The cell invasion and migration were measured by transwell assay. RNA and protein levels were tested by RT-PCR and western blot, respectively. The regulatory function of miR-30c-5p on Forkhead box D1 (FOXD1), FOXD1 on Krüppel-like factor 12 (KLF12) was tested by luciferase reporter assay or/and ChIP assay. Meanwhile, a liver cancer lung metastasis mice model was used to examine the functions of echinacoside and miR-30c-5p on HCC metastasis in vivo. Moreover, the correlations among miR-30c-5p, FOXD1, KLF12, and HCC prognosis was analyzed using clinical sample and TCGA database.RESULTSBased on both in vitro and in vivo investigations, we found that echinacoside could inhibit HCC cell migration, invasiveness, and tumor metastasis, and associated with the enhanced miR-30c-5p/FOXD1/KLF12 axis. Furthermore, through analyzing the interactions among intermediate molecules, we revealed that miR-30c-5p, FOXD1, and KLF12üere clinically relevant with each other in HCC patients, correlated with HCC prognosis, and regulated by echinacoside to contribute in the inhibition of HCC progression.CONCLUSIONSThese findings suggest that echinacoside could inhibit HCC progression, and the mechanism related to the enhanced miR-30c-5p/FOXD1/KLF12 axis. Moreover, the abovementioned intermediate molecules might serve as prospective biomarkers for HCC prognosis.
{"title":"Echinacoside inhibits hepatocellular carcinoma progression by targeting the miR-30c-5p/FOXD1/KLF12 axis.","authors":"Guoyu Wang,Yang Han,Juhua Zhuang,Zhongchao Mai,Wei Xia,Ying Ye","doi":"10.3233/thc-241449","DOIUrl":"https://doi.org/10.3233/thc-241449","url":null,"abstract":"BACKGROUNDHepatocellular carcinoma (HCC) is the third leading cause of cancer-attributed mortality and the primary liver malignancy in the world. Echinacoside is a phenylethanoid glycoside derived from traditional Chinese medicinal herbs which possessed multiple health benefits on humans, including anti-tumor effects.OBJECTIVEThis study aimed to demonstrate the function of echinacoside in HCC progression and the involvement of miR-30c-5p/FOXD1/KLF12 axis.METHODSThe HepG2 cells were treated by different dose of echinacoside, miR-30c-5p mimic, miR-30c-5p inhibitor, and FOXD1 overexpression lentiviruses or siRNA individually or simultaneously. The cell invasion and migration were measured by transwell assay. RNA and protein levels were tested by RT-PCR and western blot, respectively. The regulatory function of miR-30c-5p on Forkhead box D1 (FOXD1), FOXD1 on Krüppel-like factor 12 (KLF12) was tested by luciferase reporter assay or/and ChIP assay. Meanwhile, a liver cancer lung metastasis mice model was used to examine the functions of echinacoside and miR-30c-5p on HCC metastasis in vivo. Moreover, the correlations among miR-30c-5p, FOXD1, KLF12, and HCC prognosis was analyzed using clinical sample and TCGA database.RESULTSBased on both in vitro and in vivo investigations, we found that echinacoside could inhibit HCC cell migration, invasiveness, and tumor metastasis, and associated with the enhanced miR-30c-5p/FOXD1/KLF12 axis. Furthermore, through analyzing the interactions among intermediate molecules, we revealed that miR-30c-5p, FOXD1, and KLF12üere clinically relevant with each other in HCC patients, correlated with HCC prognosis, and regulated by echinacoside to contribute in the inhibition of HCC progression.CONCLUSIONSThese findings suggest that echinacoside could inhibit HCC progression, and the mechanism related to the enhanced miR-30c-5p/FOXD1/KLF12 axis. Moreover, the abovementioned intermediate molecules might serve as prospective biomarkers for HCC prognosis.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"6 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262958","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}
BACKGROUNDTargeted therapy and immunotherapy has brought new hope to patients with lung adenocarcinoma (LUAD) with their applications. However, the prognosis of LUAD patients is still unpromising.OBJECTIVEIt is particularly important to find the biomarkers that can predict the prognosis of LUAD. In our previous study, we found that patients with high expression of LINC02390 had a better prognosis. The clinical significance of LINC02390 and its potential target genes, CLECL1 and CD69, in the prognosis of LUAD and its role in the immune microenvironment were explored.METHODSThrough the survival analysis, LINC02390 and its potential target genes, CLECL1 and CD69, were identified as good prognostic factors for LUAD. According to GO and KEGG analyses, LINC02390-related genes were identified potentially involved in immune-related signaling pathways. Gene mutations and their relationship with immune cell infiltration were verified through the online cbioportal and TIMER database.RESULTSCD69 was found to positively associate with CD8 + T cells and CLECL1 was also positively associated with CD4 + T cells. A high expression of CD69 in CD8 + T cells was identified through the single-cell sequencing dataset GSE111894. Finally, CLECL1 and CD69 were lowly expressed in clinical tissue samples with LUAD by immunohistochemical staining.CONCLUSIONSLINC02390 and its possible target genes, CLECL1 and CD69, may be potential targets for the immunotherapy in LUAD patients.
{"title":"Role and mechanism of LINC02390 and its potential target genes, CLECL1 and CD69, in immune microenvironment of lung adenocarcinoma.","authors":"Haichao Luo,Ran Chen,Changying Wang,Qitian Chen","doi":"10.3233/thc-241452","DOIUrl":"https://doi.org/10.3233/thc-241452","url":null,"abstract":"BACKGROUNDTargeted therapy and immunotherapy has brought new hope to patients with lung adenocarcinoma (LUAD) with their applications. However, the prognosis of LUAD patients is still unpromising.OBJECTIVEIt is particularly important to find the biomarkers that can predict the prognosis of LUAD. In our previous study, we found that patients with high expression of LINC02390 had a better prognosis. The clinical significance of LINC02390 and its potential target genes, CLECL1 and CD69, in the prognosis of LUAD and its role in the immune microenvironment were explored.METHODSThrough the survival analysis, LINC02390 and its potential target genes, CLECL1 and CD69, were identified as good prognostic factors for LUAD. According to GO and KEGG analyses, LINC02390-related genes were identified potentially involved in immune-related signaling pathways. Gene mutations and their relationship with immune cell infiltration were verified through the online cbioportal and TIMER database.RESULTSCD69 was found to positively associate with CD8 + T cells and CLECL1 was also positively associated with CD4 + T cells. A high expression of CD69 in CD8 + T cells was identified through the single-cell sequencing dataset GSE111894. Finally, CLECL1 and CD69 were lowly expressed in clinical tissue samples with LUAD by immunohistochemical staining.CONCLUSIONSLINC02390 and its possible target genes, CLECL1 and CD69, may be potential targets for the immunotherapy in LUAD patients.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"8 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262956","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}
BACKGROUNDThe identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on visual characteristics and tissue classification rather than infection detection, critical for assessing DFUs and predicting amputation risk.OBJECTIVETo address these challenges, this study proposes a deep learning model using a hybrid CNN and Swin Transformer architecture for infection classification in DFU images. The aim is to leverage end-to-end mapping without prior knowledge, integrating local and global feature extraction to improve detection accuracy.METHODSThe proposed model utilizes a hybrid CNN and Swin Transformer architecture. It employs the Grad CAM technique to visualize the decision-making process of the CNN and Transformer blocks. The DFUC Challenge dataset is used for training and evaluation, emphasizing the model's ability to accurately classify DFU images into infected and non-infected categories.RESULTSThe model achieves high performance metrics: sensitivity (95.98%), specificity (97.08%), accuracy (96.52%), and Matthews Correlation Coefficient (0.93). These results indicate the model's effectiveness in quickly diagnosing DFU infections, highlighting its potential as a valuable tool for medical professionals.CONCLUSIONThe hybrid CNN and Swin Transformer architecture effectively combines strengths from both models, enabling accurate classification of DFU images as infected or non-infected, even in complex scenarios. The use of Grad CAM provides insights into the model's decision process, aiding in identifying infected regions within DFU images. This approach shows promise for enhancing clinical assessment and management of DFU infections.
{"title":"SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer.","authors":"Sumithra M G,Chandran Venkatesan","doi":"10.3233/thc-241444","DOIUrl":"https://doi.org/10.3233/thc-241444","url":null,"abstract":"BACKGROUNDThe identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on visual characteristics and tissue classification rather than infection detection, critical for assessing DFUs and predicting amputation risk.OBJECTIVETo address these challenges, this study proposes a deep learning model using a hybrid CNN and Swin Transformer architecture for infection classification in DFU images. The aim is to leverage end-to-end mapping without prior knowledge, integrating local and global feature extraction to improve detection accuracy.METHODSThe proposed model utilizes a hybrid CNN and Swin Transformer architecture. It employs the Grad CAM technique to visualize the decision-making process of the CNN and Transformer blocks. The DFUC Challenge dataset is used for training and evaluation, emphasizing the model's ability to accurately classify DFU images into infected and non-infected categories.RESULTSThe model achieves high performance metrics: sensitivity (95.98%), specificity (97.08%), accuracy (96.52%), and Matthews Correlation Coefficient (0.93). These results indicate the model's effectiveness in quickly diagnosing DFU infections, highlighting its potential as a valuable tool for medical professionals.CONCLUSIONThe hybrid CNN and Swin Transformer architecture effectively combines strengths from both models, enabling accurate classification of DFU images as infected or non-infected, even in complex scenarios. The use of Grad CAM provides insights into the model's decision process, aiding in identifying infected regions within DFU images. This approach shows promise for enhancing clinical assessment and management of DFU infections.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"20 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262955","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}
Hui Su,Xiaoyang Lan,Ya Cao,Mingjie Zhang,Xiaoyan Chen,Chen Lan
BACKGROUNDEpidural blood patch (EBP) is a minimally invasive and effective treatment for spontaneous intracranial hypotension (SIH). But, cervical epidural blood patch for SIH has little attention.OBJECTIVEIn this study, The clinical data was recorded and the treatment efficacy and safety of cervical EBP in SIH were evaluated.METHODS: Fifty-nine cases of intractable SIH were examined by computed tomography (CT) guided cervical EBP at the Chinese PLA General Hospital from August 2014 to March 2024.RESULTSThe mean age of the fifty-nine patients at symptom onset was 40.8 ± 9.5 years. 54/59 (91.5%) patients experienced orthostatic headache. Preoperative spine T2 sacns with extensive fluid collection at the upper cervical region in 43/46 (93.5%). 45/59 (76.3%) patients had symptomatic relief with initial cervical EBP, and 14/59 (23.7%) patients received further cervical EBPs. In the first one to three days following the EBP procedure, 11 (18.6%) patients reported pain at the puncture site and 15 (25.4%) experienced neck pain. No other complications were observed during or after the procedure. At the latest follow-up, all patients showed good recovery. The mean follow-up was 28.9 ± 22.7 months.CONCLUSIONCT-guided cervical EBP is a effective and safe treatment for patients with intractable SIH, especially in patients who had extensive fluid collection at the upper cervical region.
{"title":"Cervical epidural blood patch treatment is a choice for spontaneous intracranial hypotension.","authors":"Hui Su,Xiaoyang Lan,Ya Cao,Mingjie Zhang,Xiaoyan Chen,Chen Lan","doi":"10.3233/thc-241366","DOIUrl":"https://doi.org/10.3233/thc-241366","url":null,"abstract":"BACKGROUNDEpidural blood patch (EBP) is a minimally invasive and effective treatment for spontaneous intracranial hypotension (SIH). But, cervical epidural blood patch for SIH has little attention.OBJECTIVEIn this study, The clinical data was recorded and the treatment efficacy and safety of cervical EBP in SIH were evaluated.METHODS: Fifty-nine cases of intractable SIH were examined by computed tomography (CT) guided cervical EBP at the Chinese PLA General Hospital from August 2014 to March 2024.RESULTSThe mean age of the fifty-nine patients at symptom onset was 40.8 ± 9.5 years. 54/59 (91.5%) patients experienced orthostatic headache. Preoperative spine T2 sacns with extensive fluid collection at the upper cervical region in 43/46 (93.5%). 45/59 (76.3%) patients had symptomatic relief with initial cervical EBP, and 14/59 (23.7%) patients received further cervical EBPs. In the first one to three days following the EBP procedure, 11 (18.6%) patients reported pain at the puncture site and 15 (25.4%) experienced neck pain. No other complications were observed during or after the procedure. At the latest follow-up, all patients showed good recovery. The mean follow-up was 28.9 ± 22.7 months.CONCLUSIONCT-guided cervical EBP is a effective and safe treatment for patients with intractable SIH, especially in patients who had extensive fluid collection at the upper cervical region.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"35 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262959","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}
BACKGROUNDA daily activity routine is vital for overall health and well-being, supporting physical and mental fitness. Consistent physical activity is linked to a multitude of benefits for the body, mind, and emotions, playing a key role in raising a healthy lifestyle. The use of wearable devices has become essential in the realm of health and fitness, facilitating the monitoring of daily activities. While convolutional neural networks (CNN) have proven effective, challenges remain in quickly adapting to a variety of activities.OBJECTIVEThis study aimed to develop a model for precise recognition of human activities to revolutionize health monitoring by integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.METHODSThe Human Activity Recognition (HAR) algorithm uses deep learning to classify human activities using spectrogram data. It uses a pretrained convolution neural network (CNN) with a MobileNetV2 model to extract features, a dense residual transformer network (DRTN), and a multi-head multi-level attention architecture (MH-MLA) to capture time-related patterns. The model then blends information from both layers through an adaptive attention mechanism and uses a SoftMax function to provide classification probabilities for various human activities.RESULTSThe integrated approach, combining pretrained CNN with transformer models to create a thorough and effective system for recognizing human activities from spectrogram data, outperformed these methods in various datasets - HARTH, KU-HAR, and HuGaDB produced accuracies of 92.81%, 97.98%, and 95.32%, respectively. This suggests that the integration of diverse methodologies yields good results in capturing nuanced human activities across different activities. The comparison analysis showed that the integrated system consistently performs better for dynamic human activity recognition datasets.CONCLUSIONIn conclusion, maintaining a routine of daily activities is crucial for overall health and well-being. Regular physical activity contributes substantially to a healthy lifestyle, benefiting both the body and the mind. The integration of wearable devices has simplified the monitoring of daily routines. This research introduces an innovative approach to human activity recognition, combining the CNN model with a dense residual transformer network (DRTN) with multi-head multi-level attention (MH-MLA) within the transformer architecture to enhance its capability.
{"title":"Revolutionizing health monitoring: Integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.","authors":"Anandhavalli Muniasamy","doi":"10.3233/thc-241064","DOIUrl":"https://doi.org/10.3233/thc-241064","url":null,"abstract":"BACKGROUNDA daily activity routine is vital for overall health and well-being, supporting physical and mental fitness. Consistent physical activity is linked to a multitude of benefits for the body, mind, and emotions, playing a key role in raising a healthy lifestyle. The use of wearable devices has become essential in the realm of health and fitness, facilitating the monitoring of daily activities. While convolutional neural networks (CNN) have proven effective, challenges remain in quickly adapting to a variety of activities.OBJECTIVEThis study aimed to develop a model for precise recognition of human activities to revolutionize health monitoring by integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.METHODSThe Human Activity Recognition (HAR) algorithm uses deep learning to classify human activities using spectrogram data. It uses a pretrained convolution neural network (CNN) with a MobileNetV2 model to extract features, a dense residual transformer network (DRTN), and a multi-head multi-level attention architecture (MH-MLA) to capture time-related patterns. The model then blends information from both layers through an adaptive attention mechanism and uses a SoftMax function to provide classification probabilities for various human activities.RESULTSThe integrated approach, combining pretrained CNN with transformer models to create a thorough and effective system for recognizing human activities from spectrogram data, outperformed these methods in various datasets - HARTH, KU-HAR, and HuGaDB produced accuracies of 92.81%, 97.98%, and 95.32%, respectively. This suggests that the integration of diverse methodologies yields good results in capturing nuanced human activities across different activities. The comparison analysis showed that the integrated system consistently performs better for dynamic human activity recognition datasets.CONCLUSIONIn conclusion, maintaining a routine of daily activities is crucial for overall health and well-being. Regular physical activity contributes substantially to a healthy lifestyle, benefiting both the body and the mind. The integration of wearable devices has simplified the monitoring of daily routines. This research introduces an innovative approach to human activity recognition, combining the CNN model with a dense residual transformer network (DRTN) with multi-head multi-level attention (MH-MLA) within the transformer architecture to enhance its capability.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"27 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263033","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}
Yanping Ji,Qingbin Ding,Tianyi Bu,Kun Wang,Jing Zhang,Xue Wang
BACKGROUNDCirrhosis is one of the most common clinical diseases in the world. The patient with cirrhosis has many complications, such as spontaneous peritonitis, hepatic encephalopathy. Malnutrition is one of the most common complications in patients with cirrhosis, and it is also a key factor affecting the prognosis of patients. However, the research on cirrhosis malnutrition is relatively scarce.OBJECTIVEThis study aimed to explore the new factors of the liver cirrhosis with the nutritional status.METHODSA total of 370 patients with liver cirrhosis were admitted to the Fourth Affiliated Hospital of Harbin Medical University from January 2019 to January 2023 were selected. Patients were assigned to the malnourished group and normal group. The weight, height, mid arm circumference (MAC) and triceps skinfold thickness (TSF) of the two groups were measured. Body mass index (BMI) and mid-arm muscle circumference (MAMC) were calculated. Furthermore, the Health Literacy Management Scale (HeLMS), biochemical indexes, incidence of complications, disease grade were also counted and the Royal Free Hospital-Nutrition Prioritization Tool were used to evaluate the nutritional status of the patient.RESULTSA total of 370 patients was included in this study, including 177 malnutrition patients, accounting for 45.29%, and the scores and total scores of the patients in the malnutrition group were lower than those in the normal group. The measured values of Na+, Alb, PA, T-Bil, TC, TLC, Hb, and RBC were all lower than those of the normal group, and the difference was statistically significant. The overall complication rate of the patients in the malnourished group was 89.61%, and that of the normal group was 39.78%. Multifactorial logistic regression analysis was performed with nutritional level as the dependent variable (normal = 0, malnutrition = 1), and the above indicators of variability (Na+, Alb, PA, T-Bil, TC, PT, Hb, RBC, HG, and HeLMS scores) as the independent variables. The results showed that Na+, Hb were the influencing factors of nutritional level (P< 0.05).CONCLUSIONThe incidence of malnutrition in cirrhotic patients included in this study was at a moderate level, and the nutritional literacy of these patients was low. In addition, the level of serum sodium, Hemoglobin can affect the nutritional level of patients with cirrhosis.
{"title":"Assessing the risk factors associated with nutritional status in patients with liver cirrhosis: A case-control study.","authors":"Yanping Ji,Qingbin Ding,Tianyi Bu,Kun Wang,Jing Zhang,Xue Wang","doi":"10.3233/thc-241180","DOIUrl":"https://doi.org/10.3233/thc-241180","url":null,"abstract":"BACKGROUNDCirrhosis is one of the most common clinical diseases in the world. The patient with cirrhosis has many complications, such as spontaneous peritonitis, hepatic encephalopathy. Malnutrition is one of the most common complications in patients with cirrhosis, and it is also a key factor affecting the prognosis of patients. However, the research on cirrhosis malnutrition is relatively scarce.OBJECTIVEThis study aimed to explore the new factors of the liver cirrhosis with the nutritional status.METHODSA total of 370 patients with liver cirrhosis were admitted to the Fourth Affiliated Hospital of Harbin Medical University from January 2019 to January 2023 were selected. Patients were assigned to the malnourished group and normal group. The weight, height, mid arm circumference (MAC) and triceps skinfold thickness (TSF) of the two groups were measured. Body mass index (BMI) and mid-arm muscle circumference (MAMC) were calculated. Furthermore, the Health Literacy Management Scale (HeLMS), biochemical indexes, incidence of complications, disease grade were also counted and the Royal Free Hospital-Nutrition Prioritization Tool were used to evaluate the nutritional status of the patient.RESULTSA total of 370 patients was included in this study, including 177 malnutrition patients, accounting for 45.29%, and the scores and total scores of the patients in the malnutrition group were lower than those in the normal group. The measured values of Na+, Alb, PA, T-Bil, TC, TLC, Hb, and RBC were all lower than those of the normal group, and the difference was statistically significant. The overall complication rate of the patients in the malnourished group was 89.61%, and that of the normal group was 39.78%. Multifactorial logistic regression analysis was performed with nutritional level as the dependent variable (normal = 0, malnutrition = 1), and the above indicators of variability (Na+, Alb, PA, T-Bil, TC, PT, Hb, RBC, HG, and HeLMS scores) as the independent variables. The results showed that Na+, Hb were the influencing factors of nutritional level (P< 0.05).CONCLUSIONThe incidence of malnutrition in cirrhotic patients included in this study was at a moderate level, and the nutritional literacy of these patients was low. In addition, the level of serum sodium, Hemoglobin can affect the nutritional level of patients with cirrhosis.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"54 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262957","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}
Biyan Fei,Lili Zhan,Jingqi Gou,Yanping Wu,Haili Sun
BACKGROUNDDiscussed based on the network interactive platform of structured care for patients with chronic renal failure (CRF) in the process of hemodialysis.OBJECTIVEThis study seeks to elucidate the application value of structured nursing, deployed through network interaction platforms, in sustaining patients undergoing maintenance hemodialysis.METHODSA total of 62 patients diagnosed with Chronic Renal Failure (CRF) between April 2022 and August 2023 were randomly allocated into two distinct care groups: conventional and structured nursing care based on a web-interactive platform. Both cohorts were comparatively analyzed with respect to psychological states, quality of life within therapeutic interventions, and relationships with complications. Renal function indicators, including Creatinine Clearance (Ccr), Serum Creatinine (SCr), and Blood Urea Nitrogen (BUN), were subjected to Pearson analysis to appraise their predictive value in prognostication, while Receiver Operating Characteristic (ROC) curve analysis was constructed to further discern their diagnostic precision.RESULTSPost-intervention, notable improvements were observed in the emotional states of patients in both cohorts, with the structured care group exhibiting significantly lower Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores (p< 0.05). Furthermore, patients under the web-interactive structured nursing regimen demonstrated superior overall adherence, a reduced incidence rate of complications, and markedly higher scores in quality of life assessments compared to those under conventional care (p< 0.05). The derived cut-off values for Ccr, SCr, and BUN were 32.5 ml/min, 251.5 umol/L, and 14.5 mmol/L, respectively, with sensitivities and specificities pegged at 0.645% and 0.645% for Ccr, 0.774% and 0.548% for SCr, and 0.774% and 0.774% for BUN. The corresponding areas under the ROC curve (AUC) for each parameter were 0.816, 0.653, and 0.856, respectively.CONCLUSIONComprehensive hemodialysis care for patients with chronic renal failure can improve self-care ability to improve quality of life and reduce the incidence of complications, which has great potential for clinical progress and is worthy of further research.
{"title":"Exploring the efficacy of structured nursing via web-based interaction platforms in sustaining hemodialysis patients.","authors":"Biyan Fei,Lili Zhan,Jingqi Gou,Yanping Wu,Haili Sun","doi":"10.3233/thc-241021","DOIUrl":"https://doi.org/10.3233/thc-241021","url":null,"abstract":"BACKGROUNDDiscussed based on the network interactive platform of structured care for patients with chronic renal failure (CRF) in the process of hemodialysis.OBJECTIVEThis study seeks to elucidate the application value of structured nursing, deployed through network interaction platforms, in sustaining patients undergoing maintenance hemodialysis.METHODSA total of 62 patients diagnosed with Chronic Renal Failure (CRF) between April 2022 and August 2023 were randomly allocated into two distinct care groups: conventional and structured nursing care based on a web-interactive platform. Both cohorts were comparatively analyzed with respect to psychological states, quality of life within therapeutic interventions, and relationships with complications. Renal function indicators, including Creatinine Clearance (Ccr), Serum Creatinine (SCr), and Blood Urea Nitrogen (BUN), were subjected to Pearson analysis to appraise their predictive value in prognostication, while Receiver Operating Characteristic (ROC) curve analysis was constructed to further discern their diagnostic precision.RESULTSPost-intervention, notable improvements were observed in the emotional states of patients in both cohorts, with the structured care group exhibiting significantly lower Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores (p< 0.05). Furthermore, patients under the web-interactive structured nursing regimen demonstrated superior overall adherence, a reduced incidence rate of complications, and markedly higher scores in quality of life assessments compared to those under conventional care (p< 0.05). The derived cut-off values for Ccr, SCr, and BUN were 32.5 ml/min, 251.5 umol/L, and 14.5 mmol/L, respectively, with sensitivities and specificities pegged at 0.645% and 0.645% for Ccr, 0.774% and 0.548% for SCr, and 0.774% and 0.774% for BUN. The corresponding areas under the ROC curve (AUC) for each parameter were 0.816, 0.653, and 0.856, respectively.CONCLUSIONComprehensive hemodialysis care for patients with chronic renal failure can improve self-care ability to improve quality of life and reduce the incidence of complications, which has great potential for clinical progress and is worthy of further research.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"30 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263031","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}
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