Notes

A study involving iconic vocabulary increase in four datasets.
Africa is the World Health Organization-region least affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. Here, we compare the situation in severely hit Italy with that in less hit Burkina Faso, focussing on the differences in epidemiological, geographical, demographical, cultural and medical conditions to highlight how a full-blown war on the pandemic can impact on other, equally important aspects of global child health.
To investigate the determinants of patient well-being over time, and the influence of age, gender and education in patients with early axial spondyloarthritis (axSpA).

Five-year data from DESIR, a cohort of early axSpA, were analysed. The outcome was the BAS-G over 5 years. Generalized estimating equations (GEE) were used to test the relationship between potential explanatory variables from five outcome domains (disease activity, physical function, spinal mobility, structural damage and axial inflammation) and BAS-G over time. Longitudinal relationships were analysed using an autoregressive GEE model. Age, gender and educational level were tested as effect modifiers or confounders.

A total of 708 patients were included. Higher BASDAI questions on fatigue [β (95% CI) 0.17 (0.13, 0.22)], back pain [0.51 (0.46, 0.56)], peripheral joint pain [0.08 (0.04, 0.12)] and severity of morning stiffness [0.08 (0.03-0.13)], and higher BASFI [0.14 (0.08, 0.19)] were associated with a higher BAS-G. In the autoregressive model, the same variables except for morning stiffness were associated with a worsening in BAS-G. Age, gender and educational level were neither effect modifiers nor confounders.

A higher level of back pain is associated with a worsening of patient well-being, as are, though to a lesser extent, higher levels of fatigue, peripheral joint pain and physical disability. Age, gender and educational level do not have an impact on these relationships.
A higher level of back pain is associated with a worsening of patient well-being, as are, though to a lesser extent, higher levels of fatigue, peripheral joint pain and physical disability. Age, gender and educational level do not have an impact on these relationships.
Because of its wide tissue distribution, elevation of serum lactate dehydrogenase (LD) is a nonspecific finding. Although serum LD is still included in the prognosis and staging of metastatic melanoma and germ cell tumors, its nonspecificity has led to decreased usefulness.

In this study, we analyzed the serum LD assays performed in a 726-bed hospital during a 1-year period and reviewed charts of patients with serum LD of >3 standard deviations (SD).

Of 312 patients with elevated serum LD, only 9 were patients with melanoma and germ cell tumors. The other 303 patients had other malignancies, chronic conditions, and sepsis.

Elevated serum LD (even >3 SD) is an extremely nonspecific finding that does not contribute to clinical management in a majority of patients. As such, serum LD testing should be retired from routine clinical order sets and restricted in use.
3 SD) is an extremely nonspecific finding that does not contribute to clinical management in a majority of patients. As such, serum LD testing should be retired from routine clinical order sets and restricted in use.
The need to conserve antibiotic efficacy, through the management of respiratory tract infections (RTIs) without recourse to antibiotics, is a global priority. A key target for interventions is the antibiotic prescribing behaviour of healthcare professionals including non-medical prescribers (NMPs nurses, pharmacists, paramedics, physiotherapists) who manage these infections.

To identify what evidence exists regarding the influences on NMPs' antimicrobial prescribing behaviour and analyse the operationalization of the identified drivers of behaviour using the Theoretical Domains Framework (TDF).

The search strategy was applied across six electronic bibliographic databases (eligibility criteria included original studies; written in English and published before July 2019; non-medical prescribers as participants; and looked at influences on prescribing patterns of antibiotics for RTIs). selleck Study characteristics, influences on appropriate antibiotic prescribing and intervention content to enhance appropriate angiven to overcoming social influences (patients, other clinicians) and reassurance in relation to beliefs about negative consequences (missing something that could lead to a negative outcome).
The study sought to describe the literature related to the development of methods for auditing the Unified Medical Language System (UMLS), with particular attention to identifying errors and inconsistencies of attributes of the concepts in the UMLS Metathesaurus.

We applied the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach by searchingthe MEDLINE database and Google Scholar for studies referencing the UMLS and any of several terms related to auditing, error detection, and quality assurance. A qualitative analysis and summarization of articles that met inclusion criteria were performed.

Eighty-three studies were reviewed in detail. We first categorized techniques based on various aspects including concepts, concept names, and synonymy (n = 37), semantic type assignments (n = 36), hierarchical relationships (n = 24), lateral relationships (n = 12), ontology enrichment (n = 8), and ontology alignment (n = 18). We also categorized the methods according to their level o techniques due to their critical use of and impact on the UMLS.Malignant progression of normal tissue is typically driven by complex networks of somatic changes, including genetic mutations, copy number aberrations, epigenetic changes, and transcriptional reprogramming. To delineate aberrant multi-omic tumor features that correlate with clinical outcomes, we present a novel pathway-centric tool based on the multiple factor analysis framework called padma. Using a multi-omic consensus representation, padma quantifies and characterizes individualized pathway-specific multi-omic deviations and their underlying drivers, with respect to the sampled population. We demonstrate the utility of padma to correlate patient outcomes with complex genetic, epigenetic, and transcriptomic perturbations in clinically actionable pathways in breast and lung cancer.
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