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Unraveling the Metabolic Derangements Happening within Non-infarcted Areas of This halloween Kisses Along with Persistent Heart Failing.
Freezing is considered the most suitable technological treatment to avoid Anisakis infection from eating raw or undercooked fish but modifications of their cuticles upon freezing may reduce their resistance to gastric fluids, provoking a greater release of allergens. This work aimed to study the relationship between freezing-induced modifications of Anisakis simplex s.l., antigen recognition, and resistance to oral and gastric digestion in spiked fish mince.

(i) Differences between non-treated larvae and larvae that survived freezing / thawing were studied in terms of respiratory capacity, survival in simulated gastric fluid (SGF), recognition of antigens and allergens. (ii) Untreated (i.e. chilled) mince containing live larvae, mince frozen at two freezing rates, with a negative (uninfected) mince and a positive mince (infected with broken larvae) as controls, were subjected to the oral and gastric phases of a simulated digestion process. Anisakis able to survive freezing showed lower resistance to gastric fluid (i.e. faster mortality as compared to controls). Untreated larvae released significantly more antigens than freeze-surviving larvae but only after 96 h in SGF. In treatments rendering complete larvae mortality, the highest loss of larvae integrity was found upon fast freezing. There was a positive correlation between antigen release and the number of ruptures of larvae after the oral digestion phase, whereas a more complex trend was observed after oral plus gastric digestion phases.

These results suggest a new factor to consider for sensitized patients and suggest that the numbers of L3 should be reduced before industrial freezing to minimize risk. © 2020 Society of Chemical Industry.
These results suggest a new factor to consider for sensitized patients and suggest that the numbers of L3 should be reduced before industrial freezing to minimize risk. © 2020 Society of Chemical Industry.
Nocturia has been increasingly recognized as a potential manifestation of cardiovascular disease. However, the relationship between nocturia and electrocardiographic (ECG) abnormalities has not been studied. This study aims to characterize the diagnostic utility of nocturia in identifying left ventricular hypertrophy (LVH), left atrial enlargement (LAE), and prolonged QTc on ECG.

Retrospective analysis of nocturnal voiding frequency and contemporaneous ECG data from consecutive patients evaluated at a university-based outpatient cardiology clinic. Three sets of three incremental binary multiple logistic regression models controlling for (1) age, (2) sex and race, and (3) body mass index, hypertension, diabetes mellitus, and diuretic utilization were performed to determine whether nocturia was predictive of LVH, LAE, and prolonged QTc.

Included patients (n = 143, 77.6% nocturia) were predominantly African-American (89.5%), female (74.1%), and obese (61.5%), of whom 44.1%, 41.3%, and 27.3% had LVH, LAE, and prolonged QTc, respectively. Older age, African-American race, obesity, hypertension, diuretic use, LVH, and LAE were significantly associated with nocturia on univariate analysis. No significant differences were observed in the strength of associations between nocturia and LVH, LAE, or QTc prolongation based on age. Nocturia independently predicted LVH in Models I-III (odds ratios [ORs], 2.99-3.20; relative risks [RRs], 1.18 for all, p ≤ .046) and LAE in Models I-III (ORs, 4.24-4.72; RRs, 1.21 for all, p ≤ .015). No significant associations were observed between nocturia and prolonged QTc.

Nocturia may be a risk marker for underlying structural cardiac abnormalities.
Nocturia may be a risk marker for underlying structural cardiac abnormalities.
The main objective of this study was to utilize an artificial neural network in an exploratory fashion to predict self-management behaviors based on reported symptoms in a sample of stable patients with chronic obstructive pulmonary disease (COPD).

Patient symptom data were collected over 21 consecutive days. Symptoms included distress due to cough, chest tightness, distress due to mucus, dyspnea with activity, dyspnea at rest, and fatigue. Self-management abilities were measured and recorded periodically throughout the study period and were the dependent variable for these analyses. Self-management ability scores were broken into three equal tertiles to signify low, medium, and high self-management abilities. Data were entered into a simple artificial neural network using a three-layer model. Accuracy of the neural network model was calculated in a series of three models that respectively used 7, 14, and 21 days of symptom data as input (independent variables). Symptom data were used to determine if the understanding and reporting of patient's symptoms and use of an artificial neural network. Future research is clearly needed to expand on these findings.

Symptom presentation in chronically ill patients directly impacts self-management behaviors. Patients with COPD experience a number of symptoms that have the potential to impact their ability to manage their chronic disease, and artificial neural networks may help clinicians identify patients at risk for poor self-management abilities.
Symptom presentation in chronically ill patients directly impacts self-management behaviors. Patients with COPD experience a number of symptoms that have the potential to impact their ability to manage their chronic disease, and artificial neural networks may help clinicians identify patients at risk for poor self-management abilities.Health equity is a global concern. Although health equity extends far beyond the equitable distribution of healthcare, equitable access to healthcare is essential to the achievement of health equity. selleck products In Canada, Indigenous Peoples experience inequities in health and healthcare access. Cultural safety and trauma- and violence-informed care have been proposed as models of care to improve healthcare access, yet practitioners lack guidance on how to implement these models. In this paper, we build upon an existing framework of equity-oriented care for primary healthcare settings by proposing strategies to guide nurses in operationalizing cultural safety and trauma- and violence-informed care into nursing practice at the individual level. This component is one strategy to redress inequitable access to care among Indigenous Peoples in Canada. We conceptualize barriers to accessing healthcare as intrapersonal, interpersonal, and structural. We then define three domains for nursing action practicing reflexivity, prioritizing relationships, and considering the context.
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