Introduction: Due to the COVID-19 pandemic, many countries imposed lockdowns on their citizens in an attempt to contain the disease. Pakistan is one of these countries. A government mandated lockdown can have mitigating psychological effects on young adults, out of which a large fraction is made up of students. This study aims to investigate the correlations between changes in sleep pattern, perception of time, and digital media usage. Furthermore, it explores the impact of these changes on the mental health of students of different educational levels. Methods: This cross-sectional study was conducted via a web-based questionnaire, from March 24 to April 26, 2020. The survey was targeted at students and 251 responses were obtained. It was a 5-section long questionnaire. The first section inquired about demographics of participants. Each of the other 4 section were devoted to changes in sleep pattern, perception of time flow, digital media usage and mental health status of students. Close ended questions with multiple choice responses, dichotomous, interval and 4-point Likert scales were used in the construction of the survey questionnaire. Chi square, T-tests multinomial and binary logistic regression were used as primary statistical tests. All data were analyzed using Statistical Package for Social Science (SPSS) version 23.0 (IBM Corp., Armonk, NY). Results: Out of 251 adolescents that participated in our study, the majority (70.2%) were females. The mean age of the participants was 19.40+/- 1.62 years. Two-thirds of the respondents did not have much trouble falling asleep (66.5%). The analysis found no significant association between longer sleep periods and procrastination level (p = 0.054). Nearly three-fourths (72.9%) of our participants felt that getting through quarantine would have been more difficult if they did not have any electronic gadgets. Of these, a majority (85.8%) had a general feeling of tiredness and lacked motivation (p = 0.023). Additionally, a large number of students (69.7%) had reported that time is seemingly moving faster. A significant relationship between increased usage of electronic items and longer sleep periods was also noted (p = 0.005). With respect to the level of education statistically significant values were noted for alarm use both before and after quarantine began (p = 0.021 and p = 0.004, respectively). Further analysis showed that there was a significant difference in the median difference of time spent on social media before the outbreak (3.0+/-32.46) and time spent on social media after the outbreak (6.0+/-3.52) in a single day (p=0.000). Conclusions: Our research has revealed that due to the lockdown imposed by the government in response to COVID-19, the sleeping patterns of the students was affected the most. Our findings show that the increase in use of social media applications led to a widespread increase in the length of sleep, worsening of sleep habits (people sleeping at much later hours than usual), and a general feeling ...

Background The effectiveness of oral and intravenous iron supplementation in reducing the risk of mortality and hospitalizations in HF patients with iron deficiency is not well-established. Methods A thorough literature search was conducted across 2 electronic databases (Medline and Cochrane Central) from inception through March 2021. RCTs assessing the impact of iron supplementation on clinical outcomes in iron deficient HF patients were considered for inclusion. Primary end-points included all-cause mortality and HF hospitalization. Evaluations were reported as odds ratios (ORs) or risk ratios (RRs) with 95% confidence intervals (CI) and analysis was performed using a random effects model. I 2 index was used to assess heterogeneity. Results From the 2599 articles retrieved from initial search, 10 potentially relevant studies (n = 2187 patients) were included in the final analysis. Both oral (OR: 0.93; 95% CI: 0.08–11.30; p = 0.951) and intravenous (OR: 0.97; 95% CI: 0.73–1.29; p = 0.840) iron supplementation did not significantly reduce all-cause mortality. However, intravenous iron supplementation significantly decreased the rates of overall (OR: 0.52; 95% CI: 0.33–0.81; p = 0.004) and HF (OR: 0.42; 95% CI: 0.22–0.80; p = 0.009) hospitalizations. In addition, intravenous ferric carboxymaltose therapy significantly reduced the time to first HF hospitalization or cardiovascular mortality (RR = 0.70; 95% CI = 0.50–1.00; p = 0.048), but had no effect on time to first cardiovascular death (RR: 0.94; 95% CI: 0.70–1.25; p = 0.655). Conclusion Oral or intravenous iron supplementation did not reduce mortality in iron deficient HF patients. However, intravenous iron supplementation was associated with a significant decrease in overall and HF hospitalizations.

Recently, measles outbreaks have been reported across Afghanistan, and in many refugees. Although, Afghanistan has a previous history of measles outbreaks, the presence of such epidemics during a humanitarian crisis is burdening a fragile healthcare system. In addition, it is creating new challenges for Afghan refugees who are endangered by political conditions of the country. Despite efforts such as vaccination to reduce the number of cases in Afghanistan, there are still multiple outbreaks. Various factors such as political conflict, insecurity, internal displacement, supply chain issues and, most recently, COVID-19 have hampered the eradication of measles. High mortality rate, faster transmission, and clinical similarities with COVID-19 are exacerbating challenges for refugees, who are now facing delays in resettlement, especially in the United States. To curb the spread of measles, refugees need immediate and effective vaccination measures, and access to healthcare information in their own languages.

Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals globally. Despite recent advancements in understanding of the pathophysiology of HF, many issues remain including residual risk despite therapy, understanding the pathophysiology and phenotypes of patients with HF and preserved ejection fraction (HFpEF), and the challenges related to integrating a large amount of disparate information available for risk stratification and management of these patients. Risk prediction algorithms based on artificial intelligence (AI) may have superior predictive ability compared to traditional methods in certain instances. AI algorithms can play a pivotal role in the evolution of HF care by facilitating clinical decision making to overcome various challenges such as allocation of treatment to patients who are at highest risk or are more likely to benefit from therapies, prediction of adverse outcomes, and early identification of patients with subclinical disease or worsening HF. With the ability to integrate and synthesize large amounts of data with multidimensional interactions, AI algorithms can supply information with which physicians can improve their ability to make timely and better decisions. In this review, we provide an overview of the AI algorithms that have been developed for establishing early diagnosis of HF, phenotyping HF with preserved ejection fraction, and stratifying HF disease severity. This review also discusses the challenges in clinical deployment of AI algorithms in HF, and the potential path forward for developing future novel learning‐based algorithms to improve HF care.This article is protected by copyright. All rights reserved.

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