Amirhossein Memari

Jahrom University of Medical Sciences

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Elmira Jafari Afshar

Alborz University of Medical Sciences

Niloofar Gholami

Alborz University of Medical Sciences

MohammadHossein MozafaryBazargany

Iran University of Medical Sciences

Parvin Mangolian Shahrbabaki

Kerman University of Medical Sciences

Parham Samimisedeh

Jahrom University of Medical Sciences

K. Aghakhani

Hossein Teimouri

Qazvin University of Medical Sciences

Amirhossein Tayebi

Alborz University of Medical Sciences

Shahrooz Yazdani

Alborz University of Medical Sciences

Vahideh Hamidi-Sofiani

Golestan University of Medical Sciences

Cooperative Institutions

Jahrom University of Medical Sciences

Alborz University of Medical Sciences

Cardiovascular Research Center

Tehran University of Medical Sciences

Golestan University

Golestan University of Medical Sciences

Shaheed Rajaei Cardiovascular Medical and Research Center

Kerman University of Medical Sciences

Shahid Beheshti University of Medical Sciences

University of Tehran

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Importance of IL-1β in SARS-CoV-2 infection

DOAJ (DOAJ: Directory of Open Access Journals) (2022)

Emad Behboudi Hossein Teimouri Vahideh Hamidi-Sofiani Amirhossein Memari

2019-20 coronavirus outbreak

Sars virus

10.22038/ijp.2022.66782.5005

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The relationship between depressive symptoms and sleep quality in medical staff after their infection with COVID-19

Frontiers in Psychiatry (2023)

Amirhossein Memari Parvin Mangolian Shahrbabaki Mohammad Ali Zakeri Mehdi Ahmadinejad

Healthcare workers (HCWs) play a crucial role in managing infectious diseases like COVID-19. However, the demanding working conditions during the pandemic have led to an increased risk of depression and sleep disorders among these dedicated professionals. Therefore, this study aimed to examine the relationship between depressive symptoms and sleep quality in medical staff who had contracted COVID-19.This descriptive study involved a sample of 203 HCWs who had contracted COVID-19. These HCWs were employed at a hospital affiliated with Kerman University of Medical Sciences in 2020. The data for this study were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Beck Depression Inventory (BDI). Statistical analysis was conducted using SPSS22, with a significance level set at less than 0.05.The study found that the mean score for depressive symptoms among the participants was 11.67 ± 2.68, while the mean score for sleep quality was 5.47 ± 3.02. It was observed that 18.2% of the participants experienced moderate depression, 10.3% had severe depression, and 59.6% had poor sleep quality. Furthermore, a significant and positive correlation was identified between sleep quality and depression (r = 0.54; p = 0.001). Multiple regression models indicated that the harmful pattern and sleep quality together could predict 34% of the variance in depression. Additionally, the use of sedatives and depression were found to predict 33% of the variance in sleep quality.The findings of our study indicated a high prevalence of depressive symptoms and insomnia among medical staff who had contracted COVID-19. These results provide valuable insights for health managers, highlighting the need for implementing interventions in epidemic environments to reduce the vulnerability of HCWs.

2019-20 coronavirus outbreak

Sleep

Depression

10.3389/fpsyt.2023.1269402

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Diagnostic Indicators of ECG for Coronary Slow Flow Phenomenon; a Systematic Review and Meta-Analysis.

PubMed (2024)

MohammadHossein MozafaryBazargany Parham Samimisedeh Niloofar Gholami Elmira Jafari Afshar Amirhossein Memari

Currently, epicardial coronary angiography is still the only diagnostic tool for Coronary Slow Flow Phenomenon (CSFP). This study aimed to systematically review studies that compared Electrocardiogram (ECG) findings between patients with and without CSFP.

Phenomenon

10.22037/aaem.v12i1.2202

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Utility of electrocardiogram to predict the occurrence of the no-reflow phenomenon in patients undergoing primary percutaneous coronary intervention (PPCI): a systematic review and meta-analysis

Frontiers in Cardiovascular Medicine (2024)

Elmira Jafari Afshar Niloofar Gholami Parham Samimisedeh MohammadHossein MozafaryBazargany Amirhossein Tayebi

Background The no-reflow phenomenon affects about one out of five patients undergoing Primary Percutaneous Coronary Intervention (PPCI). As the prolonged no-reflow phenomenon is linked with unfavorable outcomes, making early recognition is crucial for effective management and improved clinical outcomes in these patients. Our review study aimed to determine whether electrocardiogram (ECG) findings before PCI could serve as predictors for the occurrence of the no-reflow phenomenon. Methods and materials We systematically searched MEDLINE, Scopus, and Embase to identify relevant studies. The random-effect model using inverse variance and Mantel-Haenszel methods were used to pool the standardized mean differences (SMD) and odds ratios (OR), respectively. Result Sixteen eligible articles (1,473 cases and 4,264 controls) were included in this study. Based on our meta-analysis of baseline ECG findings, the no-reflow group compared to the control group significantly had a higher frequency of fragmented QRS complexes (fQRS) (OR (95% CI): 1.35 (0.32–2.38), P -value = 0.01), and Q-waves (OR (95% CI): 1.97 (1.01–2.94), P -value <0.001). Also, a longer QRS duration (QRSD) (SMD (95% CI): 0.72 (0.21, 1.23), p -value <0.001) and R wave peak time (RWPT) (SMD (95% CI): 1.36 (0.8, 1.93), P < 0.001) were seen in the no-reflow group. The two groups had no significant difference regarding P wave peak time (PWPT), and P wave maximum duration (Pmax) on baseline ECG. Conclusion Our findings suggest that prolonged QRSD, delayed RWPT, higher fQRS prevalence, and the presence of a Q wave on baseline ECG may predict the occurrence of the no-reflow phenomenon in patients undergoing PPCI.

No reflow phenomenon

10.3389/fcvm.2023.1295964

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Research Paper: The Modification of the Education System in a Medical Faculty in Iran During the COVID-19 Outbreak

International Journal of Medical Toxicology and Forensic Medicine (2021)

K. Aghakhani Amirhossein Memari Mohammadreza Shalbafan

Background: The coronavirus disease 2019 (COVID-19) pandemic has had an important effect on medical education. Universities around the world responded to the crisis by announcing the immediate closure and substituted the in-person sessions with online ones. Methods: Iran University of Medical Sciences designed a platform for medical students. To maintain the social distance, only onethird of students living in the dormitory were present at the dormitory in this condition. Some training courses were divided into two parts and each group was supposed to participate in given courses in-person for 15 days. The crash courses were trained on all days of the week. Then, the first group left the dormitories and was replaced with the second group, and they used dormitories for 15 days after being disinfected. Besides, for the best use of time, students who could not present in these 15-day training courses took part in virtual training programs. Results: It is depopulate the educational sessions at hospitals and classes in educational sectors. Besides, using the virtual classroom software given by the university, students can take part in virtual training programs. Conclusion: Using this platform, the number of trainees, as well as the gathering of students at dormitories, was reduced.

Closure (psychology)

Pandemic

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