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Specialty: Drugs & Pharmacology
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Total 27 results found since Jan 2013.

The Impact of Longitudinal Data-Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores
Clin Pharmacol Ther. 2023 Apr 7. doi: 10.1002/cpt.2901. Online ahead of print.ABSTRACTThe impact of electronic health record (EHR) discontinuity, i.e., receiving care outside of a given EHR system, on EHR-based risk prediction is unknown. We aimed to assess the impact of EHR-continuity on performance of clinical risk scores. The study cohort consisted of patients aged ≥65 years with ≥1 EHR encounter in the two networks in Massachusetts (MA, 2007/1/1-2017/12/31, internal training and validation dataset), and one network in North Carolina (NC, 2007/1/1-2016/12/31, external validation dataset) that were linked with Medica...
Source: Clinical Pharmacology and Therapeutics - April 7, 2023 Category: Drugs & Pharmacology Authors: Yinzhu Jin Janick G Weberpals Shirley V Wang Rishi J Desai David Merola Kueiyu Joshua Lin Source Type: research

Neurobiology of amphetamine use in stroke recovery combined with rehabilitative training and brain stimulation
CNS Neurol Disord Drug Targets. 2022 May 12. doi: 10.2174/1871527321666220512155811. Online ahead of print.ABSTRACTStroke is a physiological disorder involving a prolonged local interruption of cerebral blood flow. It leads to massive neuronal death and causes short-term or long-lasting functional impairment. Most stroke victims regain some neural function weeks or months following a stroke, but this recovery can plateau six months or more after the injury. The goal of stroke therapy is the rehabilitation of functional capabilities, especially those affecting the patient's autonomy and quality of life. Recent clinical and ...
Source: CNS and Neurological Disorders Drug Targets - May 13, 2022 Category: Drugs & Pharmacology Authors: Mohammad Uzair Muhammad Arshad Turki Abualait Zeyad T Al-Harbi Talal M Al-Harbi Reem Bunyan Fahad Abida Arshad Woo Kyoung Yoo Shahid Bashir Source Type: research

Predicting 1-Hour Thrombolysis Effect of r-tPA in Patients With Acute Ischemic Stroke Using Machine Learning Algorithm
Conclusion: This study demonstrated that the GBDT model with the seven variables could better predict the early thrombolysis effect of r-tPA.
Source: Frontiers in Pharmacology - January 3, 2022 Category: Drugs & Pharmacology Source Type: research

Stroke patients ’ support: evaluation of knowledge, practices and training needs of French community pharmacists
Conclusion Based on this small study, the fragmented knowledge and varied practices promote the need for further training for pharmacists to optimize support of stroke patients. This study promotes the elaboration of training systems adapted to pharmacists ’ needs. This will help support the development of a targeted pharmaceutical care approach for stroke patients.
Source: International Journal of Clinical Pharmacy - August 1, 2021 Category: Drugs & Pharmacology 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

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

Stroke patients ’ support: evaluation of knowledge, practices and training needs of French community pharmacists
Conclusion Based on this small study, the fragmented knowledge and varied practices promote the need for further training for pharmacists to optimize support of stroke patients. This study promotes the elaboration of training systems adapted to pharmacists ’ needs. This will help support the development of a targeted pharmaceutical care approach for stroke patients.
Source: International Journal of Clinical Pharmacy - January 2, 2021 Category: Drugs & Pharmacology Source Type: research

Ability to Suppress TGF- β-Activated Myofibroblast Differentiation Distinguishes the Anti-pulmonary Fibrosis Efficacy of Two Danshen-Containing Chinese Herbal Medicine Prescriptions
Conclusion: This study suggests that a clinically efficacious cardiovascular Chinese herbal medicine (DLP) can be successfully repurposed to treat a lung disease in pulmonary fibrosis guided by TCM theory. Our comparative study between DLP and DHP demonstrated a critical requirement of suppressing both pro-inflammatory and pro-fibrotic pathways for the treatment of pulmonary fibrosis, supporting that a multi-component prescription capable of “removing both phlegm and blood stasis” will better achieve co-protection of heart and lung in PHD. Introduction Idiopathic pulmonary fibrosis (IPF) is a chronic ...
Source: Frontiers in Pharmacology - April 23, 2019 Category: Drugs & Pharmacology Source Type: research

Apelin-13 Suppresses Neuroinflammation Against Cognitive Deficit in a Streptozotocin-Induced Rat Model of Alzheimer ’s Disease Through Activation of BDNF-TrkB Signaling Pathway
Conclusion The data in this manuscript demonstrates that apelin-13 upregulates BDNF against STZ-induced congnitive impairment by suppressing glial cell activity and inflammatory factors release. This suggests apelin signaling may be a new target in the treatment of AD. Ethics Statement All experimental protocols were carried out according to the National Institutes of Health Guide for the Care and Use of Laboratory Animals approved by the Central South University at XiangYa Animal Care and Use Committee. Author Contributions XqQ and LH conceived the study and contributed to its experimental design. HqL carried out the...
Source: Frontiers in Pharmacology - April 15, 2019 Category: Drugs & Pharmacology Source Type: research

1H NMR-Based Metabolomics Reveals Refined-Huang-Lian-Jie-Du-Decoction (BBG) as a Potential Ischemic Stroke Treatment Drug With Efficacy and a Favorable Therapeutic Window
This study was carried out in accordance with the recommendations of Animal Ethics Committee of China Pharmaceutical University. The protocol was approved by Animal Ethics Committee of China Pharmaceutical University. Author Contributions JW, MY, and LK conceived the experiments and helped to coordinate support and funding. XF performed the research and drafted the manuscript. SL, YL, and DX participated in the experiments. JW analyzed the data and edited the paper. All authors read and approved the final manuscript. Conflict of Interest Statement The authors declare that the research was conducted in the absence of an...
Source: Frontiers in Pharmacology - April 11, 2019 Category: Drugs & Pharmacology Source Type: research

The effect of transcranial direct current stimulation combined with functional task training on motor recovery in stroke patients.
This article reviews the state-of-the-art of neuromodulation for stroke and discusses the opportunities and challenges available for clinicians and researchers interested in advancing neuromodulation therapy. The annual worldwide incidence of stroke ranges from 27.5 to 63 individuals per 100,000. Stroke, a major cause of adult disability, has devastating effects on patients and their caregivers, which has a tremendous socioeconomic impact on families and healthcare systems around the world. There are only a few treatments available for the improvement of motor function in stroke patients. The majority of these treatments a...
Source: European Review for Medical and Pharmacological Sciences - November 24, 2018 Category: Drugs & Pharmacology Tags: Eur Rev Med Pharmacol Sci Source Type: research