فهرست مطالب sina hassannezhad

 The co-existence of chronic diseases (CDs), a condition defined as multimorbidity (MM), is becoming a major public health issue. Therefore, we aimed to determine the patterns and predictors of MM in the Azar Cohort.

 We evaluated the prevalence of MM in 15,006 (35–70-year old) subjects of the Azar Cohort Study. MM was defined as the co-existence of two or more CDs. Data on the subjects’ socioeconomic status, demographics, sleeping habits, and physical activity were collected using questionnaires.

 The overall prevalence of MM was 28.1%. The most prevalent CDs, in decreasing order, were obesity, hypertension, depression, and diabetes. Obesity, depression, and diabetes were the most co-occurring CDs. The MM risk increased significantly with age, illiteracy, and in females. Also, the subjects within the lowest tertile of physical activity level (OR=1.89; 95% CI: 1.75–2.05) showed higher MM risk than those with the highest level of physical activity. Findings regarding current smoking status indicated that being an ex-smoker or smoker of other types of tobacco significantly increased the risk of MM.

 The reduction of MM is possible by promoting public health from an early age among people of various socioeconomic conditions. It is vital to offer the necessary health support to the aging population of Iran.

With a global prevalence of about 10%, gastric cancer is among the most prevalent cancers. Currently, there has been an ongoing trend toward investigating genetic disruptions in different cancers because they can be used as a target-specific therapy. We aimed to systemically review some gene expression patterns in gastric cancer.

The current systematic review was designed and executed in 2020. Scopus, PubMed, Cochrane Library, Google Scholar, web of knowledge, and Science Direct were searched for relevant studies. A manual search of articles (hand searching), reference exploring, checking for grey literature, and seeking expert opinion were also done.

In this review, 65 studies were included, and the expression pattern of HER2/ ERBB2, ER1/Erb1/EGFR, PIK3CA, APC, KRAS, ARID1A, TP53, FGFR2 and MET was investigated. TP53, APC, KRAS, and PIK3CA mutation cumulative frequency were 24.8 (I2=95.05, Q value=525.53, df=26, P<0.001), 7.2 (I2=89.79, Q value=48.99, df=5, P<0.001), 7.8 (I2=93.60, Q value=140.71, df=9, P=0.001) and 8.6 (I2=80.78, Q value=525.53, df=9, P<0.001) percent, respectively. Overexpression was investigated for HER1/ Erb1/EGFR, PIK3CA, APC, KRAS, ARID1A, TP53, CCND1, FGFR2, MET and MYC. The frequency of TP53 and HER2/ERBB2 were 43.1 (I2=84.06, Q value=58.09, df=9, P<0.001) and 20.8 (I2=93.61, Q value=234.89, df=15, P<0.001) percent, respectively.

More research is encouraged to investigate the genes for which we could not perform a meta-analysis.

As polypharmacy has some medically negative impacts, it has become a challenging issue for public health and affected people. Therefore, we decided to investigate the prevalence of polypharmacy and its predicting risk factors in the Azar cohort population.

In this cross-sectional population-based cohort study, the prevalence of polypharmacy was evaluated in 15,001 subjects who participated in the Azar cohort study. We measured demographic characteristics (age, gender, socioeconomic status, smoking status, marital status, and education level), physical activity level, body mass index (BMI), blood pressure, multimorbidity (coexistence of two or more chronic diseases (CDs)), and polypharmacy status (a daily intake of five or more medicines for a minimum of 90 days).

Based on our results, 9.51% of the population had polypharmacy. The five most prescribed medications were drugs acting on the cardiovascular system (19.9%), central nervous system (16.7%), endocrine system (13.3%), NSAIDs (11.5%), and drugs used for musculoskeletal and joint diseases (11.4%). Being female, illiterate, and having the lowest tertile of physical activity level significantly increased the risk of polypharmacy. The risk of polypharmacy was 49.36 times higher in patients with four or more CDs than in those without.

Our study emphasized the importance of routine monitoring to evaluate polypharmacy among those aged 35 to 59 and the elderly. Physicians should carefully assess drug suitability, especially in multimorbid and obese patients, to prevent excessive polypharmacy and its potentially negative impacts.

Little is known about the development of acute pancreatitis as a complication of corona virus disease of 2019 (COVID-19) infection. This case report describes the presentation of acute pancreatitis in a young woman who then was diagnosed with COVID-19 infection.

An 18-year old previously healthy woman referred to Imam Raza hospital, Tabriz, Iran with a 3-day history of intermittent and crampy abdominal pain. She had serum amylase of 1288 IU/L and serum lipase of 1541 IU/L. She was diagnosed with acute pancreatitis. She was instructed nil per os (NPO) and serum therapy and also was given pantoprazole, and pethidine for her pain management. The laboratory tests for assessing the etiology of acute pancreatitis were normal. Abdominal and pelvic spiral computed tomography (CT) scan revealed edematous pancreas and enhancing loculi fluid accumulation around pancreas along with the small amount of ascites fluid that all suggest acute pancreatitis. Due to the presentation of fever and COVID-19 pandemic and her potential society exposure, we tested SARS CoV-2 by polymerase chain reaction which was positive. The blood C-reactive protein (CRP) level was 3+ but the chest x-ray showed no findings compatible with COVID-19. Eventually after receiving conservative therapy for her pancreatitis, she was discharged from hospital in the good general condition and she has not experienced any episodes of abdominal pain again.

This case highlights acute pancreatitis as a suspected complication associated with COVID-19 and the need for further research.