Filtered By:
Condition: Diabetes
Education: Learning
Countries: China Health

This page shows you your search results in order of relevance.

Order by Relevance | Date

Total 18 results found since Jan 2013.

Shengui Sansheng San Ameliorates Cerebral Energy Deficiency via Citrate Cycle After Ischemic Stroke
Conclusion In summary, SSS extraction significantly ameliorates cerebral energy metabolism via boosting citrate cycle, which mainly embodies the enhancements of blood glucose concentration, glucose and lactate transportation and glucose utilization, as well as the regulations of relative enzymes activities in citrate cycle. These ameliorations ultimately resulted in numerous ATP yield after stroke, which improved neurological function and infarcted volume. Collectively, it suggests that SSS extraction has exerted advantageous effect in the treatment of cerebral ischemia. Ethics Statement All animal operations were accor...
Source: Frontiers in Pharmacology - April 22, 2019 Category: Drugs & Pharmacology Source Type: research

Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients
In conclusion, the nomogram can be used for individualized preoperative prediction of stroke risk in RA patients.PMID:34081620 | DOI:10.18632/aging.203071
Source: Aging - June 3, 2021 Category: Biomedical Science Authors: Fangran Xin Lingyu Fu Bowen Yang Haina Liu Tingting Wei Cunlu Zou Bingqing Bai Source Type: research

Janssen to Present the Strength and Promise of its Hematologic Malignancies Portfolio and Pipeline at ASH 2021
RARITAN, N.J., November 4, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that more than 45 company-sponsored abstracts, including 11 oral presentations, plus more than 35 investigator-initiated studies will be featured at the American Society of Hematology (ASH) Annual Meeting and Exposition. ASH is taking place at the Georgia World Congress Center in Atlanta and virtually from December 11-14, 2021.“We are committed to advancing the science and treatment of hematologic malignancies and look forward to presenting the latest research from our robust portfolio and pipeline during ASH...
Source: Johnson and Johnson - November 5, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
Conclusions concludes this work along with future work. Dataset and Data Preprocessing In the work, we mainly focus on multiple chronic disease classification. It can be formulated into a multi-label classification problem. There are three common chronic diseases are selected from the physical examination records: hypertension (H), diabetes (D), and fatty liver (FL). In the experiments, the physical examination datasets are collected from a local medical center, which contain 110,300 physical examination records from about 80,000 anonymous patients (Li et al., 2017a,b). Sixty-two feature items are selected from over 100...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research

Iron Metabolism and Brain Development in Premature Infants
Yafeng Wang1,2,3, Yanan Wu2, Tao Li1,2,3, Xiaoyang Wang2,4 and Changlian Zhu2,3* 1Department of Neonatology (NICU), Children’s Hospital Affiliated Zhengzhou University, Zhengzhou, China 2Henan Key Laboratory of Child Brain Injury, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China 3Department of Clinical Neuroscience, Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden 4Department of Physiology, Sahlgrenska Academy, Institute of Neuroscience and Physiology, University of Got...
Source: Frontiers in Physiology - April 24, 2019 Category: Physiology Source Type: research

Preventable Cases of Oral Anticoagulant-Induced Bleeding: Data From the Spontaneous Reporting System
Conclusion: Our findings describe the most reported risk factors for preventability of oral anticoagulant-induced bleedings. These factors may be useful for targeting interventions to improve pharmacovigilance activities in our regional territory and to reduce the burden of medication errors and inappropriate prescription. Introduction Oral anticoagulant therapy is widely used for the prevention of stroke and systemic embolism in patients with atrial fibrillation, or for the prevention and treatment of deep vein thrombosis and pulmonary embolism (Raj et al., 1994; Monaco et al., 2017). Oral anticoagulants can be di...
Source: Frontiers in Pharmacology - April 29, 2019 Category: Drugs & Pharmacology Source Type: research

Osteoporosis and Sarcopenia Increase Frailty Syndrome in the Elderly
Conclusions World population is aging and the increase in life expectancy is often unhealthy. In particular, musculoskeletal aging, which leads to sarcopenia and osteoporosis, has several causes such as changes in body composition, inflammation, and hormonal imbalance. Sarcopenia, osteoporosis, and more frequently, sarcopenic obesity are commonly associated with aging and frequently closely linked each other, often leading to the development of a frailty syndrome. Frailty syndrome favors an increased risk of loss function in daily activities, for cardiovascular diseases, cancers, falls, and mortality. As the number of eld...
Source: Frontiers in Endocrinology - April 23, 2019 Category: Endocrinology Source Type: research

Characteristic of Clinical Studies on Baduanjin during 2000-2019: A Comprehensive Review.
Authors: Zhou J, Yu Y, Cao B, Li X, Wu M, Wen T, Xiong Y, Jia J, Zhao Y Abstract To date, a growing number of clinical studies have demonstrated the safety and health benefits from Baduanjin intervention. Based on this, our objective is to systematically retrieve and summarize the clinical studies on Baduanjin, with a view to providing more evidence-based evidence in support of the application of Baduanjin for healthcare, and to identify the shortcomings of existing research and provide feasibility suggest for further clinical research. Both four English language and four Chinese language electronic databases were ...
Source: Evidence-based Complementary and Alternative Medicine - November 6, 2020 Category: Complementary Medicine Tags: Evid Based Complement Alternat Med Source Type: research

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes.
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS. PMID: 33588265 [PubMed - as supplied by publisher]
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 12, 2021 Category: Drugs & Pharmacology Authors: Xia SJ, Gao BZ, Wang SH, Guttery DS, Li CD, Zhang YD Tags: Biomed Pharmacother Source Type: research

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS.PMID:33588265 | DOI:10.1016/j.biopha.2021.111367
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 15, 2021 Category: Drugs & Pharmacology Authors: Shu-Jie Xia Bi-Zhen Gao Shui-Hua Wang David S Guttery Can-Dong Li Yu-Dong Zhang Source Type: research

CAFT: a deep learning-based comprehensive abdominal fat analysis tool for large cohort studies
ConclusionsDL-based, comprehensive SSAT, DSAT, and VAT analysis tool showed high accuracy and reproducibility and provided a comprehensive fat compartment composition analysis and visualization in less than 10  s.
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - August 2, 2021 Category: Materials Science Source Type: research

Based on voxel-based morphological analysis to investigate the effect of acupuncture-rehabilitation therapy on hippocampal volume and its neuroprotective mechanism in patients with vascular cognitive impairment with type 2 diabetes mellitus: A study protocol
Discussion: This trial can clarify the effect of acupuncture-rehabilitation therapy on hippocampal volume and its intervention mechanism on oxidative stress injury in VCI patients with T2DM, and clarify the scientific connotation of its neuroprotective mechanism in the VCI patients with T2DM, in order to provide a theoretical basis for the clinical application of acupuncture-rehabilitation therapy in the treatment of VCI. Trial registration: Chinese Clinical Trial Registry (ChiCTR), ChiCTR2100047803. Registered 26 June, https://www.chictr.org.cn/showproj.aspx?proj=128707
Source: Medicine - December 23, 2021 Category: Internal Medicine Tags: Research Article: Study Protocol Clinical Trial Source Type: research

Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization
ConclusionsAfter selecting 15 crucial variables, a machine learning-based model for predicting the mortality of S-AKI patients was successfully established and the CatBoost model demonstrated best predictive performance.
Source: Frontiers in Immunology - April 3, 2023 Category: Allergy & Immunology Source Type: research