BACKGROUND/AIMS: The aim of present study is to estimate the effects of Melissa officinalis L. (MO) on visceral hypersensitivity (VH), defecation pattern and biochemical factors in 2 experimental models of irritable bowel syndrome (IBS) and the possible role of nitric oxide. METHODS: Two individual models of IBS were induced in male Wistar-albino rats. In the acetic acid model, the animals were exposed to rectal distension and abdominal withdrawal reflex, and the defecation patterns were determined. In the restraint stress model, the levels of TNF-α, myeloperoxidase, lipid peroxidation, and antioxidant powers were determined in the (removed) colon. Rats had been treated with MO, L-NG-nitroarginine methyl ester (L-NAME), aminoguanidine (AG), MO + AG, or MO + L-NAME in the mentioned experimental models. RESULTS: Hypersensitive response to rectal distension and more stool defecation in control rats have been observed in comparison to shams. MO-300 significantly reduced VH and defecation frequency in comparison to controls. VH and defecation pattern did not show significant change in AG + MO and L-NAME + MO groups compared to controls. Also, significant reduction in TNF-α, myeloperoxidase, thiobarbituric acid reactive substances (TBARS), and an increase in antioxidant power in MO-300 group was recorded compared to controls. AG + MO and L-NAME + MO groups showed a reverse pattern compared to MO-300 group. CONCLUSIONS: MO can ameliorate IBS by modulating VH and defecation patterns. Antioxidant and anti-inflammatory properties along with its effect on the nitrergic pathway seem to play important roles in its pharmacological activity.
Acetic Acid ; Animals ; Colitis ; Colon ; Defecation ; Humans ; Hypersensitivity ; Irritable Bowel Syndrome ; Lipid Peroxidation ; Male ; Melissa ; Models, Theoretical ; NG-Nitroarginine Methyl Ester ; Nitric Oxide ; Peroxidase ; Rats ; Reflex ; Thiobarbituric Acid Reactive Substances

Acute thromboembolic events have been frequently reported in patients with coronavirus disease 2019 (COVID-19) due to an increase in the coagulation system activity and endothelial dysfunction. This report describes a patient with COVID-19 who initially reported respiratory symptoms and developed acute lower limb ischemia secondary to extensive macrovascular arterial thrombosis, which was treated with thrombectomy. The development of such extensive arterial thrombosis with anticoagulants at therapeutic doses is a new sign of increased viral pathogenicity, and it is necessary to develop and apply updated prophylaxis protocols for thrombosis in these patients.

Potentially inappropriate prescribing (PIP) is a major public health concern with several undesirable health consequences for older adults. In this overview, we aimed to map and gather information from existing literature to provide a better insight into the prevalence of PIP among community dwellers. Electronic databases were searched from their inception to April 2022. The quality of the included systematic reviews (SRs) was assessed using the assessment of multiple systematic reviews checklist. The degree of overlap within the SRs was also evaluated (2% overlap). All SRs on the prevalence of PIP in older individuals in community settings were included, and a narrative approach was used to synthesize data. Nineteen SRs comprising 548 primary studies met the inclusion criteria, and the average quality of the included SRs was moderate. More than half (50.5%) of the primary studies were conducted in Europe, followed by the United States (22.8%), and Asia (18.9%). Thirty different criteria were used in the primary studies to estimate the prevalence of PIP. The most widely used criteria were those presented in Beers (41.8%) and STOPP (Screening Tool of Older Persons’ Prescriptions)/START (Screening Tool to Alert to Right Treatment) (21.8%) criteria. Benzodiazepines, nonsteroidal anti-inflammatory drugs, and antidepressants were the most frequently reported PIPs. A considerable variation in the prevalence of PIP ranging from 0% to 98% was reported by SRs. However, there is a high degree of uncertainty regarding the extent of PIP in community settings. To identify knowledge-to-action gaps, SR authors should consider the differences in prevalence of PIP according to settings, applied tools, data sources, geographical areas, and specific pathologies. There is also a need for primary and SR studies from low- and middle-income countries regarding the prevalence of PIP.

This study aimed to identify the indices/indicators used for evaluating the “creating supportive environments” mechanism of the Ottawa Charter for Health Promotion, with a focus on built environments, in different settings. A search for literature with no time limit constraint was performed across Medline (via PubMed), Scopus, and Embase databases. Search terms included “Ottawa Charter,” “health promotion,” “supportive environments,” “built environments,” “index,” and “indicator.” we included the studies conducted on developing, identifying, and/or measuring health promotion indices/indicators associated with “built environments” in different settings. The review articles were excluded. Extracted data included the type of instrument used for measuring the index/indicator, the number of items, participants, settings, the purpose of indices/indicators, and a minimum of two associated examples of the indices domains/indicators. The key definitions and summarized information from studies are presented in tables. In total, 281 studies were included in the review, within which 36 indices/indicators associated with “built environment” were identified. The majority of the studies (77%) were performed in developed countries. Based on their application in different settings, the indices/indicators were categorized into seven groups: (1) Healthy Cities (n=5), (2) Healthy Municipalities and Communities (n=18), (3) Healthy Markets (n=3), (4) Healthy Villages (n=1), (5) Healthy Workplaces (n=4), (6) Health-Promoting Schools (n=3), and (7) Healthy Hospitals (n=3). Health promotion specialists, health policymakers, and social health researchers can use this collection of indices/indicators while designing/evaluating interventions to create supportive environments for health in various settings.

Objective: To predict the daily incidence and fatality rates based on long short-term memory (LSTM) in 4 age groups of COVID-19 patients in Mazandaran Province, Iran. Methods: To predict the daily incidence and fatality rates by age groups, this epidemiological study was conducted based on the LSTM model. All data of COVID-19 disease were collected daily for training the LSTM model from February 22, 2020 to April 10, 2021 in the Mazandaran University of Medical Sciences. We defined 4 age groups, i.e., patients under 29, between 30 and 49, between 50 and 59, and over 60 years old. Then, LSTM models were applied to predict the trend of daily incidence and fatality rates from 14 to 40 days in different age groups. The results of different methods were compared with each other. Results: This study evaluated 5 0826 patients and 5 109 deaths with COVID-19 daily in 20 cities of Mazandaran Province. Among the patients, 25 240 were females (49.7%), and 25 586 were males (50.3%). The predicted daily incidence rates on April 11, 2021 were 91.76, 155.84, 150.03, and 325.99 per 100 000 people, respectively; for the fourteenth day April 24, 2021, the predicted daily incidence rates were 35.91, 92.90, 83.74, and 225.68 in each group per 100 000 people. Furthermore, the predicted average daily incidence rates in 40 days for the 4 age groups were 34.25, 95.68, 76.43, and 210.80 per 100 000 people, and the daily fatality rates were 8.38, 4.18, 3.40, 22.53 per 100 000 people according to the established LSTM model. The findings demonstrated the daily incidence and fatality rates of 417.16 and 38.49 per 100 000 people for all age groups over the next 40 days. Conclusions: The results highlighted the proper performance of the LSTM model for predicting the daily incidence and fatality rates. It can clarify the path of spread or decline of the COVID-19 outbreak and the priority of vaccination in age groups.