Clinical eHealth最新文献

{"title":"Research progress of MIoT and digital healthcare in the new era","authors":"Peizhi Tao,&nbsp;Na Liu,&nbsp;Chunling Dong","doi":"10.1016/j.ceh.2023.11.004","DOIUrl":"10.1016/j.ceh.2023.11.004","url":null,"abstract":"<div><p>Medical Internet of Things (MIoT) and Digital healthcare have long since ceased to be separate entities. Cross-fertilisation of MIoT-based digital medical treatment models is the way forward. However, few studies discuss the development of MIoT and Digital healthcare in clinical practice. This paper reviews the research progress of MIoT and Digital healthcare in related fields.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"7 ","pages":"Pages 1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000308/pdfft?md5=28379662e4cbb2b3648c5e3750e1dc67&pid=1-s2.0-S2588914123000308-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138612265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Concept and prospect of the Human-Computer Multi-Disciplinary team (MDT) in pulmonary nodule evaluation","authors":"Li Yang ,&nbsp;Dawei Yang ,&nbsp;Man yao ,&nbsp;Chunxue Bai","doi":"10.1016/j.ceh.2023.11.003","DOIUrl":"10.1016/j.ceh.2023.11.003","url":null,"abstract":"<div><p>Lung cancer is the leading cause of cancer-related deaths worldwide. Early diagnosis and treatment play a crucial role in improving the prognosis for lung cancer. However, the issue of overtreatment and delayed diagnosis remains prevalent due to the considerable limitations of manual film review in facilitating early detection and treatment of lung cancer. In recent years, artificial intelligence (AI) has emerged as a valuable tool for clinicians to screen and evaluate benign and malignant pulmonary nodules, offering numerous advantages. Nevertheless, the sensitivity and specificity of AI are neither sufficient to completely replace medical experts nor capable of assuming direct responsibility for clinical diagnosis and treatment.</p><p>Therefore, we propose the concept of a Human-Computer Multi-Disciplinary Team (MDT), which involves collaborative decision-making between human physicians and AI systems. The human-computer MDT approach in pulmonary nodule evaluation presents a novel model for diagnosis and treatment, leveraging the respective strengths of human expertise and AI capabilities. This review provides an overview of the background, medical application, advantages and limitations, future trends, and reporting format of the Human-Computer MDT in pulmonary nodule evaluation.</p><p>Its aim is to explore standardized methods for enhancing early diagnosis in lung cancer. With the rapid advancement of AI and the field of <em>meta</em>-cosmic medicine, human-computer MDT are expected to become more widespread and play an important role in the implementation of the Healthy China 2030 plan, particularly in improving primary medical care in the future.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 172-181"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000291/pdfft?md5=c95ba481c5a11821bc755208b7b297bd&pid=1-s2.0-S2588914123000291-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138610643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert consensus on the “Digital Human” of metaverse in medicine","authors":"Dawei Yang ,&nbsp;Mengting Sun ,&nbsp;Jian Zhou ,&nbsp;Yeting Lu ,&nbsp;Zhenju Song ,&nbsp;Zhihong Chen ,&nbsp;Dong Yang ,&nbsp;Xueling Wu ,&nbsp;Haiyan Ge ,&nbsp;Yuming Zhang ,&nbsp;Chengshi Gao ,&nbsp;Jianwei Xuan ,&nbsp;Xiaoying Li ,&nbsp;Jun Yin ,&nbsp;Xiaodan Zhu ,&nbsp;Jie Liu ,&nbsp;Hongyi Xin ,&nbsp;Weipeng Jiang ,&nbsp;Ningfang Wang ,&nbsp;Yuan Wang ,&nbsp;Chunxue Bai","doi":"10.1016/j.ceh.2023.11.005","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.11.005","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 159-163"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258891412300031X/pdfft?md5=9693a431c3eb3b65fa16a96a79328d2d&pid=1-s2.0-S258891412300031X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138582103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility, safety and tolerability of CT-guided percutaneous thermal ablation in COPD with malignant pulmonary nodules","authors":"Min Ao ,&nbsp;Yunjiu Hu ,&nbsp;Mi Zhou ,&nbsp;Junhao Mu ,&nbsp;Weiyi Li ,&nbsp;Jing Liu ,&nbsp;Xiaohui Wang ,&nbsp;Li Yang","doi":"10.1016/j.ceh.2023.12.001","DOIUrl":"10.1016/j.ceh.2023.12.001","url":null,"abstract":"<div><p>For early-stage non-small cell lung cancer, surgical resection was used as the first treatment. However, approximately 20% of patients were not suitable for surgery due to severe comorbidities. We verified the feasibility, safety, and tolerability of percutaneous thermal ablation for patients of chronic obstructive pulmonary disease (COPD) with peripheral high-risk pulmonary nodules in the real world. The patients with peripheral high-risk pulmonary nodules ineligible or unwilling to undergo surgery who were ineligible or unwilling tosurgery underwent CT-guided thermal ablation in our hospital from January 1st, 2019 to May 31th, 2022 were retrospectively collected, and divided into COPD and non COPD group. Incidence, severity, risk factors of complications between in different severity of COPD and non-COPD group were compared. A total of 216 high-risk were enrolled, including 73 in COPD group and 143 in the non-COPD group. The average age, male gender, MMRC score, size of nodules, incidence of confirmed pathological diagnosis, and pneumothorax after thermal ablation were higher in the COPD group than in the non-COPD group. COPD was the only independent risk factor for pneumothorax after ablation. The incidence of pneumothorax increased with the severity of COPD, but no statistical significance. Compared to the baseline, the MMRC score was significantly increased in the COPD group, but there was no significant difference in the discharge time and hospitalization expenses between the COPD patients with or without pneumothorax. CT-guided percutaneous thermal ablation is a safe and feasible therapy for different severities of COPD with high-risk pulmonary nodules, and it is well-tolerated without increasing medical burden.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 164-171"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000321/pdfft?md5=c4ad0a244229464eb3797805fa4eb79c&pid=1-s2.0-S2588914123000321-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138615469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Parkinson’s disease identification using ensemble classifier and data augmentation techniques in machine learning","authors":"Mohammed Muzaffar Hussain ,&nbsp;D. Weslin ,&nbsp;S. Kumari ,&nbsp;S. Umamaheswari ,&nbsp;K. Kamalakannan","doi":"10.1016/j.ceh.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.11.002","url":null,"abstract":"<div><p>Parkinson’s disease (PD) is a devastating neurological syndrome that affects millions of people worldwide. For the successful treatment and control of PD, it is essential to detect it early and diagnose it accurately. Machine learning (ML) algorithms have shown promising results in identifying PD based on various clinical and non-invasive measures. This paper proposes an ensemble classifier-based method to identify PD using ML algorithms. We consider two classes of PD, namely, healthy controls and PD patients. Our approach involves the use of feature selection, feature extraction, and classification techniques to develop a robust and accurate model. We use a dataset that includes clinical measures and necessary features from patients with PD and healthy controls. Our outcomes demonstrate the effectiveness of the proposed method in accurately identifying PD and highlight the importance of ML algorithms in assisting with early detection and diagnosis of PD.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 150-158"},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258891412300028X/pdfft?md5=6f306950333c04441c20227f9535ba22&pid=1-s2.0-S258891412300028X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138413602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pharmacological analysis and remote monitoring of a patient with skin ulcers caused by anticoagulation","authors":"Wu Ling ,&nbsp;Zhou Ru ,&nbsp;Ji Peiying ,&nbsp;Haibing Yang ,&nbsp;Geng Wenye ,&nbsp;Su Qiongli","doi":"10.1016/j.ceh.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.11.001","url":null,"abstract":"<div><p>A woman in her 76 s has valvular heart disease, atrial fibrillation, and myelodysplastic syndrome. Warfarin bridged with low molecular weight heparin (LMWH), was treated for anticoagulation therapy in this patient. Five days later, The patient informed the anticoagulant management personnel from the APP of abnormal coagulation, thrombocytopenia, and ulcers, as well as pain in the left forearm pinhole, by Atrial fibrillation management mobile app software “Guidance on alfalfa anticoagulation”. Following the diagnosis of warfarin-induced skin ulceration, the patient received intravenous vitamin K and fresh frozen plasma (FFP) to reverse the effects of warfarin. After 3 days of effective treatment, the patient 's forearm ulceration improved and healed soon. This case highlights the importance of telemedicine in patients with anticoagulant therapy. And warfarin should be used with caution in patients with HIT, HIT antibodies detection should be requested in patients presenting with<!--> <!-->thrombocytopenia after using of heparin. We suggest that medical staff should provide the remote medical and remote drug monitoring for patients with chronic diseases and those taking high-risk drugs.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 144-146"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000278/pdfft?md5=e703a0281c00ad8f037971cb8d299981&pid=1-s2.0-S2588914123000278-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134832923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical characteristics and outcome of patients with SARS-CoV-2 Omicron variant in Shanghai: A single center, retrospective, observational study","authors":"Da-Wei Yang ,&nbsp;Jing Li ,&nbsp;Li Feng ,&nbsp;Hui-Fen Weng ,&nbsp;Min-Jie Ju ,&nbsp;Hao Wang ,&nbsp;Yi-Chen Jia ,&nbsp;Xiao-Dan Wang ,&nbsp;Jia Fan ,&nbsp;Zuo-Qin Yan ,&nbsp;Xing-Wei Lu ,&nbsp;Wei Yang ,&nbsp;Yin Wu ,&nbsp;Zheng-Guo Chen ,&nbsp;Qi-Yun Jiang ,&nbsp;Jian-Wei Xuan ,&nbsp;Qiqing Shi ,&nbsp;Hao Fang","doi":"10.1016/j.ceh.2023.10.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.10.002","url":null,"abstract":"<div><h3>Background</h3><p>In March 2022, a severe outbreak of the SARS-CoV-2 Omicron variant occurred in Shanghai. This study aimed to determine disease severity, clinical features, clinical outcome in hospitalized patients with the Omicron variant and evaluate the effectiveness of one-dose, two-dose, and three-dose inactivated vaccines in reducing viral loads, disease course, ICU admissions and severe diseases.</p></div><div><h3>Methods</h3><p>Retrospective cohort analysis was performed on 5,170 adult patients (≥18 years) identified as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction admitted at Shanghai Medical Center for Gerontology between March 2022 and June 2022. Demographic information, laboratory data, immunization status, clinical characteristics and outcomes were extracted from electronic medical records.</p></div><div><h3>Results</h3><p>Among 5,170 enrolled patients, the median age was 53 years, and 2,861 (55.3 %) were male. 71.0 % were mild COVID-19 cases, and cough (1,137 [22.0 %]), fever (592 [11.5 %]), sore throat (510 [9.9 %]), and fatigue (334 [6.5 %]) were the most common symptoms on the patient’s first admission. The median length of hospital stay was 8.7 ± 4.5 days. In multivariate logistic analysis, booster vaccination can significantly reduce ICU admissions and decrease the severity of COVID-19 outcome when compared with less doses of vaccine (OR = 0.75, 95 %CI, 0.62–0.91, P ≤ 0.005; OR = 0.99, 95 %CI, 0.99–1.00, p &lt; 0.001).</p></div><div><h3>Conclusions</h3><p>In summary, the most of patients who contracted SARSCoV-2 omicron variant had mild clinical features and patients with vaccination took less time to lower viral loads.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 138-143"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000266/pdfft?md5=2af01a6df05efe3eee0b046c105abda5&pid=1-s2.0-S2588914123000266-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"109146173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Brief Discussion on Pulmonary Nodule-related Psychological Burden and Metaverse in Medicine","authors":"Yujie Zheng ,&nbsp;Dawei Yang","doi":"10.1016/j.ceh.2023.10.001","DOIUrl":"10.1016/j.ceh.2023.10.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 148-149"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914123000254/pdfft?md5=2d489f0f9830cfa3ec4a9c7035861e18&pid=1-s2.0-S2588914123000254-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136159609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of albumin and overall survival in advanced non-small cell lung cancer patients with anlotinib treatment using generalized additive model: A retrospective cohort study","authors":"Congyi Xie ,&nbsp;Jinzhan Chen ,&nbsp;Zhisheng Chen ,&nbsp;Yijiao Xu ,&nbsp;Jiaxin Liu ,&nbsp;Huijun Zhang ,&nbsp;Hongni Jiang ,&nbsp;Feiyang Ye ,&nbsp;Lin Tong","doi":"10.1016/j.ceh.2023.09.003","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.09.003","url":null,"abstract":"<div><h3>Background</h3><p>Albumin is believed to be associated with the prediction of various cancers. This retrospective cohort study aimed to explore the non-linear relationship between albumin level and overall survival (OS) in advanced non-small cell lung cancer (NSCLC) patients with anlotinib therapy, utilizing the Generalized additive model (GAM) approach. Specifically, we investigated the potential non-linear associations that might not be captured by conventional linear analyses.</p></div><div><h3>Methods</h3><p>A retrospective cohort of 211 patients undergoing anlotinib treatment for advanced NSCLC was included in this study. A wide range of albumin levels was considered, and the GAM method was applied to account for potential confounding clinical variables and unveil the non-linear relationship between albumin and OS.</p></div><div><h3>Results</h3><p>A non-linear relationship with inflection points of 40 g/L and 48 g/L was detected between albumin level and OS after adjusting for potential confounders. The hazard ratio (HR) of the left, middle and right of the inflection points were 0.95 (95 % confidence interval [CI], 0.87 to 1.04, p = 0.2819, n = 71), 0.75 (95 % CI, 0.64 to 0.89, p = 0.0007, n = 133) and 2.79 (95 % CI, 1.39 to 5.61, p = 0.0039, n = 7), respectively. The findings indicate a negative correlation between albumin level and OS when albumin level was between 40 g/L and 48 g/L. For every unit increase in albumin, there was a 25 % reduction in the risk of death. Subgroup analysis revealed that the negative relationship was enhanced with blood urea nitrogen (BUN) level increase and diminished with D-dimer increase.</p></div><div><h3>Conclusions</h3><p>The relationship between albumin level and OS was non-linear. Albumin level is an independent prognostic factor for OS. In addition, BUN level and D-dimer level could modify the effect of albumin level on the risk of death in advanced NSCLC patients treated with anlotinib.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 121-129"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49725938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital mental health interventions for anxiety and mood disorders patients: A 24-week follow-up","authors":"Renato Mikio Moriya ,&nbsp;Mariana Ragassi Urbano ,&nbsp;Heber Odebrecht Vargas ,&nbsp;Regina Celia Bueno Machado ,&nbsp;Robson Zazula ,&nbsp;Ana Cecilia Novaes de Oliveira Roldan ,&nbsp;Sandra Odebrecht Vargas Nunes","doi":"10.1016/j.ceh.2023.09.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2023.09.002","url":null,"abstract":"<div><h3>Background</h3><p>Digital psychoeducational interventions have been used for self-monitoring symptoms and self-care for outpatients with affective and anxiety disorders associated with a history of adverse childhood experiences (ACEs). Outpatients with affective and anxiety disorders were recruited for digital mental health interventions (smartphone app and e-book) with treatment as usual.</p></div><div><h3>Methods</h3><p>Participants were evaluated at baseline and at 24-week follow-up with digital mental health interventions. Participants were assessed by questionnaire and scales (the 17-item Hamilton Depressive Rating Scale (HDRS₁₇), Hamilton Anxiety Rating Scale (HAM-A), Adverse Childhood Questionnaire, Sheehan Disability Scale, Quality of Life, Perceived Stress<!--> <!-->Scale, and by anthropometric measures.</p></div><div><h3>Results</h3><p>153 participants were classified into two groups: (n = 110) participants reported having experienced at least three ACEs (&lt;4ACEs) and (n = 43) reported having experienced four or more (≥4ACEs). At baseline, the ≥ 4ACEs group presented significantly more unstable relationship, lower quality of life, more functional impairment, more perceived stress, higher HAM-A and HDRS₁₇ scores than &lt; 4ACEs group. After 24 weeks, digital psychoeducational interventions improved the practice of physical activity in both groups. Digital technologies improved severity of depressive symptoms in the &lt; 4ACEs group and decreased functional impairment in the ≥ 4ACEs group. Higher scores on HAM-A were associated with more ACEs, HDRS₁₇ &gt; 7 and lack of physical activities.</p></div><div><h3>Conclusion</h3><p>These findings highlight the importance of screening for ACEs to use digital psychoeducational interventions for reducing depressive symptoms and improving physical activities in outpatients with mood and anxiety disorders.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"6 ","pages":"Pages 114-120"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49725937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}