An Exploratory Assessment of Factors with Which Influenza Vaccine Uptake Is Associated in Hungarian Adults 65 Years Old and Older: Findings from European Health Interview Surveys.

Influenza vaccination is an imperative public health task for elderly people due to a higher risk of developing more severe complications. The main aim of our study was to determine the influencing factors of being vaccinated against influenza among subjects aged 65 and above. Data were from the Hungarian implementations of the European Health Interview Survey 2009, 2014 and 2019 studies with a final sample size of 3355. A multivariate logistic regression model with interactions was used to identify the possible factors associated with vaccination. Approximately 32% of the participants were vaccinated for the most recent influenza season. The most important factors were identified that contributed to influenza vaccination among individuals, which were the following: educational attainment, having a partner, the annual frequency of specialist and doctor visits, and having comorbidities. Respondents who thought that they could do a lot for their health had higher odds of being immunized. Being obese seemed to be a risk factor. According to our findings, the current influenza vaccination coverage was considered as low in Hungary; hence, the implementation of minor reformulations in the field of health policy is suggested.

Assessment of patient flow and optimized use of lean thinking transformation from the perspective of graph theory and spectral graph theory: A case study.

BACKGROUND: Hospital re-engineering initiatives aiming to meet the requirement for patient-centered care often face significant barriers. Opportunities from the optimization of patient flow logistics are often overlooked due to the perception that patient transport related services are ancillary. OBJECTIVES: To reorganize patient pathways by optimizing inpatient assignment and outpatient unit relocation. METHODS: Our analysis was conducted in a campus-based hospital hosting 1694 inpatient beds. Patient flow data was used for algorithm-based optimization to minimize the sum of the distances due to visits to outpatient units and visits by consulting physicians. Inpatients were reordered and outpatient units were relocated to minimize transport need. Optimized schemes were analyzed using graph- and spectral graph theory. RESULTS: Both optimizations yielded an altered hospital layout in which the need for patient transfers decreased (over 30% and 23% in terms of total distance and transfer episodes, respectively). The optimized systems gave rise to buildings with greater specialization, higher importance in terms of contributing to the network architecture, greater synchronization and robustness. CONCLUSIONS: The top-down algorithm-based optimization scheme yielded a system in which the need for cross-building patient transfer decreased. We suggest that network analysis may be a useful tool for capacity planning.

Socioeconomic Factors Predicting Depression Differ in the Acute Stage and at 1 year After Ischemic Stroke or TIA.

INTRODUCTION: Considerable depressive symptoms follow stroke in about one third of patients. Initial depressive symptoms may wane after the acute phase of stroke, but persisting depressive symptoms adversely affect rehabilitation and quality of life. We set forth to evaluate predictors of depressive symptoms with a focus on socioeconomic factors. METHODS: We evaluated clinical features and socioeconomic characteristics in 233 consecutive patients with acute ischemic stroke or TIA. Depressive symptoms could be evaluated in 168 subjects in the acute phase with a repeated testing after a mean of 14.7 months via telephone interview in 116 patients. Survival status, scores on the Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Depression Inventory (BDI) and disability (modified Rankin scale, mRS) were recorded. RESULTS: In the acute phase, employment status (p = 0.037) and level of education (p = 0.048) whereas one year later dependency (mRS≥3, p = 0.002) and income (p = 0.012) were the significant predictors of the severity of depressive symptoms. A change from independent (mRS≤2) to dependent living predicted worsening depressive symptoms (p = 0.008), whereas improving to functional independence from an initially dependent condition was associated with diminishing depressive symptoms (p = 0.077 for CES-D and p = 0.044 for BDI) in the first year after an acute ischemic cerebrovascular event. CONCLUSIONS: Predictors of the severity of depressive symptoms differed in the acute phase and at follow-up. In addition to disability, education and employment status in the acute phase and income in the late phase predict the severity of depressive symptoms after ischemic stroke or TIA.

Methodical Challenges and a Possible Resolution in the Assessment of Receptor Reserve for Adenosine, an Agonist with Short Half-Life.

The term receptor reserve, first introduced and used in the traditional receptor theory, is an integrative measure of response-inducing ability of the interaction between an agonist and a receptor system (consisting of a receptor and its downstream signaling). The underlying phenomenon, i.e., stimulation of a submaximal fraction of receptors can apparently elicit the maximal effect (in certain cases), provides an opportunity to assess the receptor reserve. However, determining receptor reserve is challenging for agonists with short half-lives, such as adenosine. Although adenosine metabolism can be inhibited several ways (in order to prevent the rapid elimination of adenosine administered to construct concentration-effect (E/c) curves for the determination), the consequent accumulation of endogenous adenosine biases the results. To address this problem, we previously proposed a method, by means of which this bias can be mathematically corrected (utilizing a traditional receptor theory-independent approach). In the present investigation, we have offered in silico validation of this method by simulating E/c curves with the use of the operational model of agonism and then by evaluating them using our method. We have found that our method is suitable to reliably assess the receptor reserve for adenosine in our recently published experimental setting, suggesting that it may be capable for a qualitative determination of receptor reserve for rapidly eliminating agonists in general. In addition, we have disclosed a possible interference between FSCPX (8-cyclopentyl-N³-[3-(4-(fluorosulfonyl)benzoyloxy)propyl]-N¹-propylxanthine), an irreversible A1 adenosine receptor antagonist, and NBTI (S-(2-hydroxy-5-nitrobenzyl)-6-thioinosine), a nucleoside transport inhibitor, i.e., FSCPX may blunt the effect of NBTI.