Epidemiological, clinical, and economic burden of myocardial infarction patients in Iran during the COVID-19 pandemic.

Background: To define changes in AMI case rates, patient demographics, cardiovascular comorbidities, treatment approaches, in-hospital outcomes, and the economic burden of COVID-19 during the pandemic. Methods: We conducted a multicenter, observational survey with selected hospitals from three medical universities in Tehran city. A data collection tool consisting of three parts. The first part included socio-demographic information, and the second part included clinical information, major complications, and in-hospital mortality. Finally, the third part was related to the direct medical costs generated by AMI in COVID-19 and non-COVID-19 patients. The study cohort comprised 4,560 hospitalizations for AMI (2,935 for STEMI [64%] and 1,625 for NSTEMI [36%]). Results: Of those hospitalized for AMI, 1,864 (76.6 %) and 1,659 (78 %) were male before the COVID-19 outbreak and during the COVID-19 era, respectively. The length of stay (LOS), was significantly lower during the COVID-19 pandemic era (4.27 ± 3.63 vs 5.24 ± 5.17, p = 0.00). Results showed that there were no significant differences in terms of patient risk factors across periods. A total of 2,126 AMIs were registered during the COVID-19 era, with a 12.65 % reduction (95 % CI 1.5-25.1) compared with the equivalent time in 2019 (P = 0.179). The risk of in-hospital mortality rate for AMI patients increased from 4.9 % in 2019 to 7.0 % in the COVID-19 era (OR = 1.42; 95 % CI 1.11-1.82; P = 0.004). Major complications were registered in 9.7 % of cases in 2020, which is higher than the rate of 6.6 % reported in 2019 (OR = 1.46, 95 % CI 1.11-1.82; P = 0.000). Total costs in hospitalized AMI-COVID patients averaged $188 more than in AMI patients (P = 0.020). Conclusion: This cross-sectional study found important changes in AMI hospitalization rates, worse outcomes, and higher costs during the COVID-19 periods. Future studies are recommended to examine the long-term outcomes of hospitalized AMI patients during the COVID-19 era.

TNF inhibitors have a protective role in the risk of dementia in patients with ankylosing spondylitis: Results from a nationwide study.

OBJECTIVES: Ankylosing spondylitis (AS) is a chronic progressive and debilitating form of arthritis with associated extra-articular features including uveitis, intestinal and lung apical inflammation and psoriasis. Putative associations between AS and neurologic disorders has been relatively overlooked. The purpose of this study is to assess the link between AS and major neurologic disorders and whether treatment with Tumor-Necrosis-Factor inhibitors (TNFi) has an impact on that association. METHODS: A retrospective cross-sectional study was carried out based on the Clalit Health Services (CHS) computerized database. AS patients were compared to age- and gender-matched controls with respect to the proportion of Alzheimer's disease (AD), Parkinson's disease (PD), epilepsy, and multiple sclerosis (MS). The impact of AS therapy (biologic vs conventional therapy) was assessed as well. RESULTS: 4082 AS patients and 20,397 age- and gender-matched controls were identified. AS was associated with a higher prevalence of AD (odds-ratio(OR) 1.46 [95%Confidence-interval(CI) 1.13-1.87], p = 0.003), epilepsy (OR 2.33 [95%CI 1.75-3.09] p < 0.0001) and PD (OR 2.75 [95%CI 2.04-3.72], p < 0.0001), whereas no statistically significant association was found for MS. Association with PD remained significant in the multivariate analysis (OR 1.49 [95%CI 1.05-2.13],p = 0.027). Within AS patients, the use of TNFi (OR 0.10 [95%CI 0.01-0.74], p = 0.024) were associated with a lowered risk of developing AD. CONCLUSION: AS is positively associated with AD, PD, and epilepsy but not MS. AS patients treated with TNFi have lower rates of AD.

Economic, Cultural, and Political Requirements for Medical Tourism Development in Iran: Insights from a Fuzzy Analytical Hierarchy Process Method.

Background: According to the World Bank, the medical tourism industry in 2016 generated more than $100 billion revenue turnover for the destination countries. This study aims to investigate the developmental requirements of medical tourism industry in Iran to identify sustainable development strategies within this sector. Methods: The present study was an applied-analytical study performed in a cross-sectional manner. A total of 25 experts, including policy experts, decision-makers, and managers with over 10 years of experience in the health system and familiar with the process of attracting medical tourists from foreign countries were asked to compare options for the development of the medical tourism. Expert opinions were analyzed using a fuzzy analytical hierarchy process using the open-source R Studio software. Results: Out of the 5 items included in the questionnaire, the criterion of "government policy making and related entities" was ranked the first in terms of importance and prioritization for medical tourism development (0.249) through attracting domestic and foreign investments followed by advertising and marketing (0.241). Also, the criteria of "destination characteristics" and "facilities and status of service capacities with 0.111 and 0.185 weights had the lowest weight among the 5 items, respectively. Conclusion: In general, governments play a key role in marketing and promoting the nascent medical tourism industry. Experts in the field believe that the role of government, policy and decision-makers in medical tourism can be an advantage for its prosperity and development.

Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis.

A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-effects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%-99%; n = 4410), cough (61%, 95% CI 39%-81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%-55%; n = 3778), dyspnea (26%, 95% CI 12%-41%; n = 3700), headache in 12% (95% CI 4%-23%, n = 3598 patients), sore throat in 10% (95% CI 5%-17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%-17%, n = 1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 × 109/L, 95% CI 0.83-1.03 × 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54-45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%-1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay.

Average medical visit time in Iran: A systematic review and meta-analysis.

Background: Visit length is an indicator that can be used to assess patients' satisfaction of the health care services. In recent years, some studies have focused on the mean visit time in Iran. This study aimed at determining the average visit time in Iran by performing a systematic review and meta-analysis. Methods: In this study, Embase, PubMed/MEDLINE, Scopus, ISI/Web of Science databases, and Google Scholar search engine, as well as Iranian national databases/thesauri, such as MagIran, SID, and Irandoc were used. These databases were searched from their inception until September 2017. The quality of retained studies was assessed using the STROBE checklist. Average visit length was reported using stochastic model with 95% confidence interval (CI). I2 and Q tests were used to assess the heterogeneity of the studies. A sensitivity analysis was conducted to ensure the stability of the results. Results: After searching the scholarly databases and reviewing the articles based on inclusion and exclusion criteria, 6 studies were finally selected. Based on the random model, the mean visit time was 4.89 minutes in Iran, ranging from 4.66 to 5.12 minutes (p=0.82). The most time visit in specialists belonged to psychiatrists with 9.12 (7.28 to 10.96) minutes (p=0.19) and the lowest belonged to internists with 3.59 (2.24 to 4.95) minutes (p=0.00), respectively. Conclusion: The average visit time in Iran was estimated to be 4.89 minutes. To increase patients' satisfaction and provide a better disease treatment and management in Iran, the following suggestions could be helpful: properly distributing physicians across the country, reducing waiting lists, and implementing the use of guidelines to standardize the visit time.

Iran's Health System Transformation Plan: A SWOT analysis.

Background: Societies are characterized by evolving health needs, which become more challenging throughout time, to which health system should respond. As such, a constant monitoring and a periodic review and reformation of healthcare systems are of fundamental importance to increase the efficiency and effectiveness of healthcare services delivery, equity, and sustainable funding. The establishment of President Rouhani's government in Iran, on May 5, 2014, the settlement of the new Ministry of Health and Medical Education administration (MoHME) and the need for change in the provision of healthcare services has led to the "Health System Transformation Plan" (HSTP). The aim of the current investigation was to critically evaluate the health transformation plan in Iran. Methods: Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis enables to identify and assess the strengths and weaknesses within an organization or program, as well as the threats and opportunities outside the given organization or program. To identify SWOT of the HSTP in Iran, all articles concerning this program published in scholarly databases as well as in the gray literature were systematically searched. Subsequently, all factors identified at the first round were thematically classified into four categories and for reaching consensus on this classification, the list of points and factors was sent to 40 experts - policy- and decisionmakers, professors and academicians, health department workers, health activists, journalists. Results: Thirty-four subjects expressed comments on classification. Incorporating their suggestions, the SWOT analysis of Iran's HSTP was revised, finalized and then performed. Conclusion: HSTP in Iran, like many of the initiatives that have been recently introduced and not fully implemented, have various challenges, difficulties and pitfalls that health policymakers need to pay attention to. Interacting with criticisms, taking into account public opinion and strengthening the plan can make the project more effective, and it can be anticipated that in the future, better conditions in the health sector will be achieved.

Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis.

Background: Nosocomial infections represent a serious public health concern worldwide, and, especially, in developing countries where, due to financial constraints, it is difficult to control infections. This study aimed to review and assess the prevalence of nosocomial infections in Iran. Methods: Different databases were searched between January 2000 and December 2017. To determine the pooled prevalence, the stochastic DerSimonian-Laird model was used, computing the effect size with its 95% confidence interval. To examine the heterogeneity among studies, the I2 test were conducted. The reporting of observational studies in epidemiology (STROBE) checklist was used to assess the methodological quality of observational studies. To further investigate the source of heterogeneity, meta-regression analyses stratified by publication year, sample size and duration of hospitalization in the hospital were carried out. Results: 52 studies were included. Based on the random-effects model, the overall prevalence of nosocomial infection in Iran was 4.5% [95% CI: 3.5 to 5.7] with a high, statistically significant heterogeneity (I2=99.82%). A sensitivity analysis was performed to ensure the stability results. After removing each study, results did not change. A cumulative meta-analysis of the included studies was performed based on year of publication and the results did not change. In the present study, a high rate of infections caused by Klebsiella pneumoniae (urinary tract, respiratory tract, and bloodstream infections) was found. Conclusion: Preventing and reducing hospital infections can significantly impact on reducing mortality and health-related costs. Implementing ad hoc programs, such as training healthcare staff on admission to the hospital, may play an important role in reducing infections spreading.

Public reaction to Chikungunya outbreaks in Italy-Insights from an extensive novel data streams-based structural equation modeling analysis.

The recent outbreak of Chikungunya virus in Italy represents a serious public health concern, which is attracting media coverage and generating public interest in terms of Internet searches and social media interactions. Here, we sought to assess the Chikungunya-related digital behavior and the interplay between epidemiological figures and novel data streams traffic. Reaction to the recent outbreak was analyzed in terms of Google Trends, Google News and Twitter traffic, Wikipedia visits and edits, and PubMed articles, exploiting structural modelling equations. A total of 233,678 page-views and 150 edits on the Italian Wikipedia page, 3,702 tweets, 149 scholarly articles, and 3,073 news articles were retrieved. The relationship between overall Chikungunya cases, as well as autochthonous cases, and tweets production was found to be fully mediated by Chikungunya-related web searches. However, in the allochthonous/imported cases model, tweet production was not found to be significantly mediated by epidemiological figures, with web searches still significantly mediating tweet production. Inconsistent relationships were detected in mediation models involving Wikipedia usage as a mediator variable. Similarly, the effect between news consumption and tweets production was suppressed by the Wikipedia usage. A further inconsistent mediation was found in the case of the effect between Wikipedia usage and tweets production, with web searches as a mediator variable. When adjusting for the Internet penetration index, similar findings could be obtained, with the important exception that in the adjusted model the relationship between GN and Twitter was found to be partially mediated by Wikipedia usage. Furthermore, the link between Wikipedia usage and PubMed/MEDLINE was fully mediated by GN, differently from what was found in the unadjusted model. In conclusion-a significant public reaction to the current Chikungunya outbreak was documented. Health authorities should be aware of this, recognizing the role of new technologies for collecting public concerns and replying to them, disseminating awareness and avoid misleading information.