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Background: Centrifugal-flow left ventricular assist devices (CF-LVADs) have improved morbidity and mortality for their recipients. Hospital readmissions remain common, negatively impacting quality of life and survival. We sought to identify risk factors associated with hospital readmissions among patients with CF-LVADs. Methods: Consecutive patients receiving a CF-LVAD between February 2011 and March 2021 were retrospectively evaluated using prospectively maintained institutional databases. Hospital readmissions within three years post-LVAD implantation were dichotomized into heart failure (HF)/LVAD-related or non-HF/LVAD-related readmissions. Multivariable Cox regression models augmented using a machine learning algorithm, the least absolute shrinkage and selection operator (LASSO) method, for variable selection were used to estimate associations between HF/LVAD-related readmissions and pre-, intra- and post-operative clinical variables. Results: A total of 204 CF-LVAD recipients were included, of which 138 (67.7%) had at least one HF/LVAD-related readmission. HF/LVAD-related readmissions accounted for 74.4% (436/586) of total readmissions. The main reasons for HF/LVAD-related readmissions were major bleeding, major infection, HF exacerbation, and neurological dysfunction. Using pre-LVAD variables, HF/LVAD-related readmissions were associated with substance use, previous cardiac surgery, HF duration, pre-LVAD inotrope dependence, percutaneous LVAD/VA-ECMO support, LVAD type, and the left ventricular ejection fraction in multivariable analysis (Harrell's concordance c-statistic; 0.629). After adding intra- and post-operative variables in the multivariable model, LVAD implant hospitalization length of stay was an additional predictor of readmission. Conclusions: Using machine learning-based techniques, we generated models identifying pre-, intra-, and post-operative variables associated with a higher likelihood of rehospitalizations among patients on CF-LVAD support. These models could provide guidance in identifying patients with increased readmission risk for whom clinical strategies to mitigate this risk may further improve LVAD recipient outcomes. [ABSTRACT FROM AUTHOR]

Existing research on the association between COVID-19 vaccination and quantitatively measured mental health outcomes is scarce. We conducted a cross-sectional telephone survey on a random sample of 1039 adult Greek citizens in June 2021. Among the participants, 39.6% were vaccinated with two doses, 23.1% with one dose, 21.4% were planning to become vaccinated later, and 8.1% refused vaccination. Compared to those fully vaccinated, those against vaccination ("deniers") and those who planned to do so later on ("not vaccinated yet") had significantly higher scores across three stress, anxiety, and depression construct scales. Our findings suggest an association between COVID-19 vaccination status and mental health. [ABSTRACT FROM AUTHOR]

This paper aims to examine the critical discourse on responses to worship regulations during the coronavirus (COVID-19) pandemic. Diverse responses emanated from the media, religious leaders, and civil society organizations in the Indonesian context. The wide range of responses to worship regulations is reflected in continuous debate, demonstrating two primary groups, one in support of the government regulations and the other opposed to limitations on congregational worship activities. This shows the need for the proper messaging of content and dissemination to promote behavioral changes relative to relevant health issues. In order to achieve the main objective, we employed a qualitative method involving a discourse analysis of several leading online news sources' viewpoints, religious leaders' viewpoints, and religious organizations' public statements. This study found two main factors associated with the response to worship regulations in the pandemic era. The main finding involved supportive and contradictive orientations. The supportive path indicated a supportive response, referring to the enhancement of the proper analysis of public worship regulations, while the contradictive one referred to the continuation of life as normal, free of restrictions and regulations. This study suggests that clear details on the reasons for restrictions and regulations are required on all forms of social media in order to provide all parties with a better understanding of the need for these measures. [ABSTRACT FROM AUTHOR]