Publications by authors named "Amirali Karimi"

6 Publications

  • Page 1 of 1

Indirect Factors Affecting Fertility in the Era of COVID-19.

Urol J 2021 Apr 18. Epub 2021 Apr 18.

Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

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http://dx.doi.org/10.22037/uj.v18i.6737DOI Listing
April 2021

Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes.

J Diabetes Sci Technol 2021 Apr 10:19322968211007124. Epub 2021 Apr 10.

Department of Electrical and Computer Engineering, Isfahan University of Medical Sciences, Isfahan, Iran.

Introduction: Mobile-based applications play a leading role in changes in life-style, improve medication adherence, and provide a unique opportunity to aid patients with type 2 diabetes mellitus (T2DM) elevate their healthcare level. Therefore, we aim to design and develop a mobile-based self-care application for patients with T2DM.

Methods: The present study was an applied and developmental study to design and develop a mobile-based self-care application for people living with T2DM conducted in 2020. The design and development of the T2DM self-care application were done in 2 main phases of determining the key features and capabilities, and design and development of the T2DM self-care mobile app.

Results: We identified the main model and a set of capabilities and features for the T2DM self-care application. By content analysis on 32 different applications and a previous study by the author, 18 features were extracted for the T2DM self-care mobile app. JAVA programming languages were used to design T2DM applications. Moreover, because of the cost-effectiveness, the Android operating system (AOS) was selected as a platform, and because of the widespread use of smartphones; these phones were chosen as the format of T2DM self-care application.

Conclusions: In this study, we design and develop a mobile-based self-care application for patients with type 2 diabetes that shows potential in solving the shortcomings of mobile apps for diabetes care. By utilizing the T2DM self-care mobile app we are able to deploy a self-care application with a wide range of functionality such as text messaging, blood glucose monitoring, insulin dose suggestions, educational messaging, metabolic management, pedometer counts, and reporting. Future studies are needed to develop self-care applications for a different type of diabetes with different functions of diabetes care.
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http://dx.doi.org/10.1177/19322968211007124DOI Listing
April 2021

Adverse Events Following Administration of Anti-CTLA4 Antibody Ipilimumab.

Front Oncol 2021 9;11:624780. Epub 2021 Mar 9.

Department of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Ipilimumab, a monoclonal anti-CTLA4 antibody, paved the path for promising treatments, particularly in advanced forms of numerous cancers like melanoma. By blockading CTLA-4, ipilimumab can abolish the higher binding affinity of B7 for CTLA-4, setting CD28 free to act unlimited. This blockade can result in an amplified antitumor immune response, and thereby, boosting more effective tumor regression. However, this blockage can lead to diminished self-tolerance and yielding autoimmune complications. The current review aims to describe adverse events (AEs) following the administration of ipilimumab in different cancers as every benefit comes at a cost. We will also discuss AEs in two different categories, melanoma and non-melanoma, owing to the possible shining promises in treating non-melanoma cancers. As the melanoma settings are more studied than other cancers, it might even help predict the patterns related to the other types of cancers. This similarity also might help physicians to predict adverse events and correctly manage them in non-melanoma cancers using the extensive findings reported in the more-studied melanoma settings. Recognizing the adverse events is vital since most of the adverse events could be reverted while carefully implementing guidelines. Finally, we will also describe the observed effectiveness of ipilimumab in non-melanoma cancers. This effectiveness reveals the importance of understanding the profile of adverse events in this group, even though some have not received FDA approval yet. Further clinical trials and careful systematic reviews may be required to decipher the hidden aspects of therapies with ipilimumab and its related AEs.
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http://dx.doi.org/10.3389/fonc.2021.624780DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985548PMC
March 2021

Adjuvant vs. salvage Radiation Therapy after Radical Prostatectomy: Role of Decipher® in the Era of Personalized Medicine.

Urol J 2021 Jan 10. Epub 2021 Jan 10.

Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Prostate Cancer (PCa) is the most prevalent cancer in men. Radical Prostatectomy (RP) as a primary definitive treatment may be followed by adjuvant or salvage radiotherapy. However, there are some uncertainties about receiving immediate adjuvant radiation after RP in men with adverse pathological features versus early salvage radiation therapy. Decipher is a novel genomic classifier and almost all studies have confirmed Decipher as a reliable predictor of metastasis, recurrence and mortality. With the aid of Decipher, clinicians are able to determine the need for adjuvant versus salvage radiotherapy. Decipher has the potential to reduce decisional conflicts in clinical recommendations, and is cost-effective. However, further investigations are required to prove Decipher's role in clinical outcome improvement in patients receiving Decipher-based course of treatment compared with those receiving usual care.
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http://dx.doi.org/10.22037/uj.v16i7.6526DOI Listing
January 2021

A systematic review of ECG findings in patients with COVID-19.

Indian Heart J 2020 Nov-Dec;72(6):500-507. Epub 2020 Nov 13.

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:

Introduction: Since the epidemic of COVID-19 attracted the attention, reports were surrounding electrocardiographic changes in the infected individuals. We aimed at pinpointing different observed ECG findings and discussing their clinical significance.

Methods: We conducted a systematic search in PubMed, Embase, and Scopus databases. We included eligible original papers, reports, letters to the editors, and case reports published from December 2019 to May 10, 2020.

Results: The team identified 20 articles related to this topic. We divided them into articles discussing drug-induced and non-drug-induced changes. Studies reported an increased risk of QTc interval prolongations influenced by different therapies based on chloroquine, hydroxychloroquine, and azithromycin. Although these medications increased risks of severe QTc prolongations, they induced no arrhythmia-related deaths. In the non-drug-induced group, ST-T abnormalities, notably ST elevation, accounted for the most observed ECG finding in the patients with COVID-19, but their relation with myocardial injuries was under dispute.

Conclusion: This systematic review suggests that identifying ECG patterns that might be related to COVID-19 is vital. Provided that physicians do not recognize these patterns, they might erroneously risk the lives of their patients. Furthermore, important drug-induced ECG changes provide awareness to the health-care workers on the risks of possible therapies.
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http://dx.doi.org/10.1016/j.ihj.2020.11.007DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661958PMC
January 2021

Predictors of mortality in patients with COVID-19-a systematic review.

Eur J Integr Med 2020 Dec 17;40:101226. Epub 2020 Oct 17.

School of Public Health, Central Michigan University, Mount Pleasant, MI, 48859, United States.

Introduction: In the current COVID-19 pandemic, disease diagnosis is essential for optimal management and timely isolation of infected cases in order to prevent further spread. The aim of this study was to systematically review the assessment of risk and model the predictors of mortality in COVID-19 patients.

Methods: A systematic search was conducted of PubMed, Scopus, Embase, Google Scholar, and Web of Science databases. Variables associated with hospital mortality using bivariate analysis were included as potential independent predictors associated with mortality at the  < 0.05 levels.

Results: We included 114 studies accounting for 310,494 patients from various parts of the world. For the purpose of this analysis, we set a cutoff point of 10% for the mortality percentages. High mortality rates were defined as higher than 10% of confirmed positive cases and were given a score of two, while low mortality (<10%) was assigned the score of one. We then analyzed the associations between 72 variables and the observed mortality rates. These variables included a large range of related variables such as demographics, signs and symptoms and related morbidities, vital signs, laboratory findings, imaging studies, underlying diseases, and the status of countries' income, based on the United Nation's classifications.

Conclusion: Findings suggest that older age, hypertension, and diabetes mellitus conferred a significant increased risk of mortality among patients with COVID-19. In the multivariate analysis, only diabetes mellitus demonstrated an independent relationship with increased mortality. Further studies are needed to ascertain the relationship between possible risk factors with COVID-19 mortality.
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http://dx.doi.org/10.1016/j.eujim.2020.101226DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568488PMC
December 2020