Technology and Health Care最新文献

{"title":"Technological integration in predicting hypoxemia risk for improved surgical outcomes in Type A aortic dissection.","authors":"Qinying Wang, Lingguo Wang, Cui Ji, Xiaoying Xing, Lu Pan, Yujie Wang","doi":"10.1177/09287329251333557","DOIUrl":"https://doi.org/10.1177/09287329251333557","url":null,"abstract":"<p><p>BackgroundPostoperative hypoxemia is a severe complication in patients undergoing surgery for acute Type A aortic dissection (AAD), with significant impacts on recovery and clinical outcomes. Technological advancements in risk assessment models offer opportunities for early intervention and optimized care.ObjectiveTo develop and validate a technology-driven predictive model for hypoxemia based on clinical and intraoperative risk factors, enhancing postoperative management strategies.MethodsA retrospective cohort of 242 patients was analyzed, including 77 with hypoxemia (PaO₂/FiO₂ ≤ 200 mmHg) and 165 without. Key clinical variables, intraoperative factors, and postoperative outcomes were examined. Spearman correlation analysis and receiver operating characteristic (ROC) curve analysis were conducted to identify and validate predictive markers.ResultsProlonged time from symptom onset to surgery (>48 h), aortic cross-clamp time, and deep hypothermic circulatory arrest time (DHCA) emerged as the most significant predictors (all <i>p</i> < 0.001). DHCA time demonstrated the highest sensitivity (0.961) and area under the curve (AUC = 0.891). Additional significant predictors included intraoperative blood product use and prolonged mechanical ventilation, with cumulative predictive value for hypoxemia risk.ConclusionThe integration of clinical variables into a technology-enhanced prediction model provides robust early warnings of postoperative hypoxemia risk. Implementing timely surgical interventions and refined intraoperative management can minimize adverse respiratory outcomes, improving recovery in AAD patients.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251333557"},"PeriodicalIF":1.4,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022194","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":"Ebastine in combination with low-dose antidepressants for refractory irritable bowel syndrome: A randomized controlled trial.","authors":"Chao Wang, Tengxiao Wang, Yangfang Chen, Wumei Lie, Fei Shen","doi":"10.1177/09287329251334289","DOIUrl":"https://doi.org/10.1177/09287329251334289","url":null,"abstract":"<p><p>BackgroundDrug treatment of refractory irritable bowel syndrome (IBS) is not satisfactory at present. This study investigated the clinical effects of ebastine combined with low-dose antidepressants on refractory IBS.MethodsA total of 105 patients with refractory refractory IBS were randomly assigned to two different treatment groups after signing informed consent. And they didn't know about the treatment group they were in. They were administered with ebastine (Group A) or ebastine combined with flupentixol and melitracen (Group B) for 4 weeks. Drug efficacy was evaluated using scales before and after treatment. In addition, serum D-lactate (D-LAC) and human intestinal fatty acid binding protein (I-FABP) level were measured to assess intestinal permeability.ResultsSignificant improvements were observed in IBS Quality of Life (IBS-QOL) score, IBS Symptom Severity Scale (IBS-SSS) score, and total sleep quality score. Patients in Group A showed no improvements in anxiety (44.83 ± 9.62 <i>vs.</i> 43.92 ± 10.43, P = 0.415) and depression (39.08 ± 9.34 <i>vs.</i> 38.75 ± 9.35, P = 0.674) compared with the baseline level, while those in Group B improved significantly on anxiety (52.12 ± 8.19 <i>vs.</i> 39.28 ± 9.88) and depression (47.64 ± 9.53 <i>vs.</i> 38.24 ± 9.41) status. After treatment, the serum levels of D-LAC and I-FABP were significantly lower in Group B than in Group A.ConclusionRefractory IBS patients showed certain psychological abnormalities. Ebastine combined with antidepressants exhibited more obvious benefits on QOL, sleep quality, and SSS, with significant improvements in psychological status and intestinal permeability in refractory IBS patients.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251334289"},"PeriodicalIF":1.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022190","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":"Age-related macular degeneration diagnosis in optical coherence tomography images with gray level co-occurrence matrix features, genetic algorithms, and random forest classifier.","authors":"R Loganathan, S Latha","doi":"10.1177/09287329241301649","DOIUrl":"10.1177/09287329241301649","url":null,"abstract":"<p><p>This paper proposes new computational strategies to improve optical coherence tomography image quality for age-related macular degeneration identification. Integrated into an age-related macular degeneration detection system, these algorithms automate and improve the identification of abnormalities in optical coherence tomography images, aiding in the classification of normal and abnormal macular tissues. The research presents an innovative approach to detecting age-related macular degeneration related anomalies, combining texture analysis, statistical evaluation, and genetic algorithms for feature selection. Genetic algorithm optimization finds the best predictive characteristics by using in-depth texture analysis with the gray level co-occurrence matrix and comprehensive statistical research. Gray level co-occurrence matrix features are analyzed at four angles (0°, 45°, 90°, and 135°), with the random forest classifier trained using optimized features. The random forest classifier plays a vital role in both the training and testing phases, achieving no-table results: an error rate of 0% for selected features, 1.9% for all features, and 7.5% for no features, and an overall system classification accuracy of 100% for training data for all, while maintaining 92.458% 98.113%, 100% for testing data of no features, all features and selected features.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1509-1521"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460353","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":"Comparison of robot-assisted vs. traditional laparoscopic sacral colpopexy for pelvic organ prolapse: Outcomes and quality of life.","authors":"Yingying Shang, Huajuan Deng, Qingqing Yao","doi":"10.1177/09287329241296231","DOIUrl":"https://doi.org/10.1177/09287329241296231","url":null,"abstract":"<p><p>BackgroundPelvic organ prolapse is a prevalent condition affecting women of varying ages and ethnicities globally. The prevalence of pelvic organ prolapse is substantial, with estimates suggesting that up to 50% of parous women may experience some degree of prolapse during their lifetime.ObjectiveThis retrospective evaluation aimed to compare the outcomes of robot-assisted sacral colpopexy (RASC) and traditional laparoscopic sacral colpopexy (LSC) in the treatment of pelvic organ prolapse, focusing on surgical outcomes, postoperative pain, quality of life, complications, and recurrence rates.MethodsA total of 138 patients treated for pelvic organ prolapse and undergoing sacral colpopexy from December 2021 to December 2023 were included in the study. The patients were categorized into two groups based on the procedure utilized: RASC or LSC. Demographic characteristics, surgical outcomes, postoperative pain scores, quality of life, complications, and recurrence rates were compared between the two groups.ResultsThe demographic characteristics of the study population demonstrated comparable baseline profiles for the RASC and LSC groups. RASC was associated with shorter surgery duration, lower intraoperative blood loss, shorter operative time for apical prolapse repair, and significantly lower postoperative pain scores at 24, 48, and 72 h postoperatively compared to LSC. Additionally, patients undergoing RASC demonstrated significantly better quality of life across various domains compared to those undergoing LSC. There were no statistically significant differences in the incidence of complications between the two groups. Furthermore, the RASC group demonstrated consistently lower recurrence rates at 1, 2, and 5 years postoperatively compared to the LSC group.ConclusionRobot-assisted sacral colpopexy offers potential advantages over traditional laparoscopic sacral colpopexy in the treatment of pelvic organ prolapse, with favorable surgical outcomes, reduced postoperative pain, improved quality of life, comparable complication rates, and lower recurrence rates. These findings support the consideration of RASC as a promising surgical approach for addressing pelvic organ prolapse and provide valuable insights for informing clinical decision-making and refining the approach to pelvic organ prolapse treatment.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1381-1388"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051483","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":"Experimental study on reconstructing mandibular defects using porous titanium in goats.","authors":"Zhiping Jiang, Zhuoyu Xia, Xuanyi Dai, Liangbing Wang","doi":"10.1177/09287329241301653","DOIUrl":"https://doi.org/10.1177/09287329241301653","url":null,"abstract":"<p><p>This research aimed to explore the effects of varying porosities and pore sizes in porous titanium on osteointegration following mandibular defect reconstruction in goats. Porous titanium products were fabricated using spark plasma sintering technology combined with powder metallurgy techniques. Based on experimental requirements, standard porous titanium samples were categorized into three groups: Group A with 50%-70% porosity and 100-300 μm pore size; Group B with 70%-85% porosity and 300-500 μm pore size; and Group C with no porosity. These samples were implanted into the mandibular defects of goats, which were euthanized three months after implantation for analysis. The assessment of osteointegration involved general observations, X-ray, micro-CT, biomechanical testing, and histological examinations. Results indicated that Group B's porous titanium exhibited superior osteointegration, making it the most suitable material for enhancing cellular and tissue growth.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1421-1430"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036075","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":"Enhancing mechanical ventilator reliability through machine learning based predictive maintenance.","authors":"Žarko Peruničić, Ivana Lalatović, Lemana Spahić, Adna Ašić, Lejla Gurbeta Pokvić, Almir Badnjević","doi":"10.1177/09287329241301665","DOIUrl":"https://doi.org/10.1177/09287329241301665","url":null,"abstract":"<p><p>BackgroundWith the advancement of Artificial Intelligence (AI), clinical engineering has witnessed transformative opportunities, enabling predictive maintenance of medical devices, optimization of healthcare workflows, and personalized patient care. Respiratory equipment plays a vital role in modern healthcare, supporting patients with compromised or impaired respiratory capacities. However, ensuring the reliability and safety of these devices is crucial to prevent adverse events and ensure patient well-being.ObjectiveThis study aims to explore machine learning techniques to enhance predictive maintenance for mechanical ventilators.<b>Method:</b> The dataset used for this study contains information about 1350 entries of mechanical ventilators, made by 15 different manufacturers and available in 30 distinct models. Different machine learning algorithms, including Logistic Regression, Decision Trees, Random Forest, K-nearest Neighbors, Support Vector Machines, Naive Bayes, and XG Boost are developed and tested in terms of their performance in predicting mechanical ventilator failures.ResultsThe ensemble methods, particularly Random Forest and XGBoost, have proven to be more adept at handling the complexities of the dataset. The Decision Tree and Random Forest models both showed remarkable accuracies of approximately 0.993, while K-Nearest Neighbors (KNN) performed exceptionally with near perfect accuracy.ConclusionAdoption of automated systems based on artificial intelligence will help in overcoming challenges of ensuring quality of MDs that are already being used in healthcare institutions. Implementing machine learning-based predictive maintenance can significantly enhance the reliability of mechanical ventilators in healthcare settings.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1288-1297"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042367","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":"Correlation between pelvic floor four-dimensional ultrasound parameters and POP-Q score.","authors":"Zuling Li, Li Jiang, Fei Xu, Qifang Chen, Fengmei Wang, Lisa Lin","doi":"10.1177/09287329241293892","DOIUrl":"https://doi.org/10.1177/09287329241293892","url":null,"abstract":"<p><p>BackgroundPelvic organ prolapse (POP) is a prevalent ailment that lowers a woman's quality of life and for which precise diagnosis techniques are required for successful treatment. Advanced imaging techniques may be beneficial for traditional clinical assessments like the Pelvic Organ Prolapse Quantification (POP-Q) system.ObjectivesThe purpose of this study was to look into the relationship between the POP-Q score and four-dimensional pelvic floor ultrasonography parameters in women who have been diagnosed with pelvic organ prolapse.MethodsWe included 120 female patients who presented with symptoms consistent with pelvic floor dysfunction. Pelvic cancers, a history of hysterectomy, and the incapacity to execute Valsalva maneuvers were among the exclusion criteria. The pelvic floor was imaged in three dimensions using a color Doppler ultrasonography equipment (GE, Voluson E8 Edition) both at rest and during Valsalva maneuvers. Important variables, such as the posterior bladder angle and bladder neck distance, were examined and contrasted with POP-Q evaluations.ResultsAccording to the study, an ultrasonography was used to detect Green II prolapse in 63 individuals and Green III prolapse in 57 patients. The ultrasonography results and clinical POP-Q diagnosis agreed rather well (Kappa = 0.572). Furthermore, there was a substantial association found between the four-dimensional ultrasound characteristics and the POP-Q stages, suggesting that ultrasonography is a useful tool for visualizing pelvic floor structures.ConclusionsAccording to the results, four-dimensional ultrasonography has a strong correlation with the POP-Q score and is a useful method for evaluating pelvic floor dysfunction. This imaging modality advances our knowledge of the dynamics of the pelvic floor and might lead to more accurate diagnoses for female patients with prolapsed pelvic organs.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1331-1342"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052782","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":"Predictive value of the hospital frailty risk score in perioperative complications of artificial hip and knee arthroplasty in elderly patients.","authors":"Yang Li, Yujie Li, Chuanchuan Zhuo, Shi Shen, Naiqiang Zhuo","doi":"10.1177/09287329241296769","DOIUrl":"https://doi.org/10.1177/09287329241296769","url":null,"abstract":"<p><p>BackgroundAlthough artificial hip and knee arthroplasty has been widely used, the incidence of perioperative complications remains relatively high due to factors such as long operation time and large surgical incisions. However, the Hospital Frailty Risk Score (HFRS) clinical value for patients undergoing artificial hip and knee arthroplasty in China is not yet clear. This study aims to explore its clinical value in this population.ObjectiveTo explore predictive value of the HFRS in perioperative complications of artificial hip and knee arthroplasty in elderly patients.MethodsElderly patients who underwent artificial hip and knee arthroplasty in our hospital from March 2020 to March 2022 were selected as the study subjects. The patients were divided into the non-frail risk group (HFRS <5 points) and the frail risk group (HFRS ≥5 points) on the basis of the literature grading method. 5-factor modified frailty index (mFI-5) and Charlson Comorbidity Index (CCI) scores were assessed. General data including age, sex, ASA classification, preoperative course, and surgical time were collected through the electronic medical record system. The occurrence of postoperative deep venous thrombosis, periprosthetic infection, hematoma, anemia, and overall complications was recorded. Hospitalization days, surgical costs, and total treatment costs were also calculated for all patients.ResultsThere were no significant differences in age, sex, ASA classification, preoperative course, or surgical time between the two groups (<i>p </i>> 0.05). The frail risk group had significantly higher mFI-5 and CCI scores (<i>p </i>< 0.05). This group also had a higher incidence of deep venous thrombosis and overall complications (<i>p </i>< 0.05), but similar rates of periprosthetic infection, hematoma, and anemia (<i>p </i>> 0.05). ROC analysis showed HFRS had the highest predictive value for postoperative complications (AUC = 0.851) compared to mFI-5 (0.786) and CCI (0.739). Surgical costs were similar (<i>p </i>> 0.05), but the frail group had longer hospital stays and higher total treatment costs (<i>p </i>< 0.05).ConclusionHFRS has better predictive value for perioperative complications in elderly patients undergoing artificial hip and knee arthroplasty compared to mFI-5 and CCI scores, and it can be used for predicting perioperative complications in elderly patients with this surgery.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1298-1303"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048104","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":"Evaluating the impact of lateral position alterations on intraocular pressure and cerebral oxygen saturation among elderly and middle-aged patients undergoing surgery.","authors":"Wei Wang, Ying-Ying Sun, Chun-Hua Xi","doi":"10.1177/09287329241303372","DOIUrl":"https://doi.org/10.1177/09287329241303372","url":null,"abstract":"<p><p>ObjectiveTo assess the impact of lateral position changes on intraocular pressure and regional cerebral oxygen saturation (rScO₂) in patients undergoing surgery.MethodsSeventy patients were categorized into the elderly and middle-aged groups, with 35 individuals in each. Apart from collecting physiological data of patients, intraocular pressure was measured using a rebound tonometer, and regional cerebral oxygen saturation levels were assessed with a cerebral oxygen monitor at ten different time points in this study.ResultsIntraocular pressure trends in both eyes were similar in both groups, peaking after two hours and then stabilizing. The intraocular pressure of the eye on the compressed side increased after lateral positioning, and this was more notable in the elderly group, indicating a significant difference (<i>P</i> < 0.05). The rScO₂ levels did not differ significantly between the groups (<i>P</i> > 0.05); however, patients in the elderly group exhibited higher mean arterial pressure (MAP) fluctuations at post-intubation (T2) and pre-turning (T8) time points compared to those in the middle-aged group, and this difference was significant (<i>P</i> < 0.05). In the middle-aged group, there was no correlation between MAP and changes in cerebral oxygen saturation (<i>P</i> > 0.05), whereas a weak correlation was present in the elderly group (<i>P</i> < 0.05). There was no difference in uncorrected visual acuity between the pre-admission and six hours post-surgery time points (<i>P</i> > 0.05).ConclusionThe results of this study underscores the importance of proper positioning of patients, enhanced intraoperative monitoring, and safe surgical positioning practices.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1310-1319"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143991932","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":"Development and validation of machine learning algorithms for early detection of ankylosing spondylitis using magnetic resonance images.","authors":"Emre Canayaz, Zehra Aysun Altikardes, Alparslan Unsal, Hayriye Korkmaz, Mustafa Gok","doi":"10.1177/09287329241297887","DOIUrl":"https://doi.org/10.1177/09287329241297887","url":null,"abstract":"<p><p>BackgroundAnkylosing spondylitis (AS) is a chronic inflammatory disease affecting the sacroiliac joints and spine, often leading to disability if not diagnosed and treated early.ObjectiveIn this study, we present the development and validation of machine learning (ML) algorithms for AS detection only using Short Tau Inversion Recovery (STIR) sequenced magnetic resonance (MR) images.MethodsThe detection process is based on creating Gray Level Co-occurrence Matrices (GLCM) from MR images, followed by the computation of Haralick features and the training of ML-based models. A total of 696 MR images (AS+: 348, AS-: 348) were utilized for AS detection. Models were trained and tested on 70% of the dataset using a 10-fold cross-validation method to prevent overfitting, while the remaining 30% of the data was used for validation. In addition, care was taken to ensure that different images from the same patient were not split between the training and validation sets during this separation process to prevent potential data leakage.ResultsThe proposed ML-based model demonstrated superior performance during the validation phase (accuracy: 0.885, AUC: 0.941). The results of our study show promising outcomes when compared to previous works employing GLCM-based ML detection models.<b>Conclusions:</b> This study introduces a new perspective on AS detection, focusing on the assignment of ML techniques to STIR-sequenced MR images with a notable absence of literature on interpreting ML models for AS detection. This typology also addresses a lack of knowledge, as most models do not provide practical interpretability or knowledge alongside accurate prediction. The system also offers an effective strategy for early and correct diagnosis of AS, which is important for timely intervention and treatment planning.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1182-1198"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143994015","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}