Payam Khazaeli; Abbas Pardakhty; Amin Mehrabian; Marziyeh Sajadi Bami; Moslem Lari Najafi
Volume 24, Issue 4 , 2022
Abstract
Introduction: Propranolol is a non-specific beta-blocker that is used to treat hypertension, angina, arrhythmia, tremor, and manage thyrotoxicosis. Based on the results of various studies, propranolol can control infantile hemangioma by vasoconstriction, apoptosis induction, and inhibition of cell proliferation ...
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Introduction: Propranolol is a non-specific beta-blocker that is used to treat hypertension, angina, arrhythmia, tremor, and manage thyrotoxicosis. Based on the results of various studies, propranolol can control infantile hemangioma by vasoconstriction, apoptosis induction, and inhibition of cell proliferation signals.
Methods: The conventional film hydration method was used to prepare medium size (2-6 m) multilamellar vesicles (MLVs) containing propranolol. At the lipid phase, sorbitan esters (Spans) and their polyethoxylated derivatives (Tweens) were combined with cholesterol, and deionized water was utilized as a hydration medium. Laser light scattering was used to perform the size analysis, and the Franz diffusion cells were utilized to investigate the release of propranolol from niosomal suspensions and carbomer-based niosomal gels. The vesicles were assessed for their stability within six-month storage at 4°C, and ultraviolet spectrophotometer and centrifuge technique were employed to measure the efficiencies of encapsulation.
Results: Based on the findings, the best niosomes were obtained at 40 and 60 spans in the presence of Tween 40 and 60; however, Span/Tween 20 and 80 were not able to form propranolol niosomes. The selected formulations had an MLV appearance and size distribution of 5 ?m. Encapsulation efficiency and release rate of selected niosomes were optimal. Niosomes had good stability during six months of storage at refrigerator temperature.
Conclusions: Based on the obtained results in this study, the application of a new topical dosage form of propranolol showed promising results for the treatment of infantile hemangioma.
Elham Nazari; Ho-Chun Herbert Chang; Kolsoum Deldar; Reza Pour; Amir Avan; Mahmood Tara; Amin Mehrabian; hamed tabesh
Volume 22, Issue 10 , 2020
Abstract
Introduction: Decision fusion has emerged as a data management technique due to the diversity and scalability of data in health care. This first-scope review aimed to investigate the use of this technique in health care.
Materials and Methods: A query was carried out on PubMed, Science Direct, and EMBASE ...
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Introduction: Decision fusion has emerged as a data management technique due to the diversity and scalability of data in health care. This first-scope review aimed to investigate the use of this technique in health care.
Materials and Methods: A query was carried out on PubMed, Science Direct, and EMBASE within 1960-2017 using such keywords as decision fusion, information fusion, symbolic fusion, distributed decisions, expert fusion, and sensor fusion, in conjunction with med-* and health-care. The articles were analyzed in terms of methodology and results.
Results: The literature search yielded 106 articles. Based on the results, in the field of health care, the articles were related to image processing (29%), sensors (22%), diagnosis area(10%), biology (6%), health informatics (8%), and signal process (15%). The majority of articles were published in 2011, 2012, and 2015, and the USA had the largest number of articles. Most of the articles were about engineering and basic sciences. Regarding healthcare, the majority of studies were conducted on the diagnosis of diseases (80%), while 9% and 11% of articles were about prevention and treatment, respectively. These studies applied the following methods: intelligent methods (44%), new methods (36%), probabilistic (13%), and evidential methods (7%). The dataset was as follows: research project data (49%), online dataset (42%), and simulation (9%). Furthermore, 49% of articles mentioned the applied software, among which classification and interpretation were reportedly the most and the least used methods.
Discussion and Conclusion: Decision fusion is a holistic approach to evaluate all areas of health care and elucidate diverse techniques that can lead to improved quality of care.
Innovation: This article is the first scope review article about the application of the decision fusion technique in the field of health care, building on an established protocol. Decision fusion can reduce the cost of care and improve the quality of health care provision. Therefore, this article can help care providers understand the benefits of this technique and overcome challenges in adopting decision fusion technology.
