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We consider the question "What should we do?" in the context of clinical research/practice. There are several steps along the way to providing a satisfactory answer, many of which have received considerable attention in the literature. We aim to provide a unified summary and explication of these "steps along the way". The result will be an increased appreciation for the meaning and structure of "actionable clinical knowledge".

We review the literature to identify pertinent works dealing with evidence production and translation into actionable clinical knowledge. We draw from insights in this literature about various aspects of reasoning relevant to clinical questions and integrate these into a unified approach to the processes that lead to actionable clinical knowledge.

We collect, collate, and integrate some of the work by Bauer, Carper, Goldman, Haack, McHugh and Walker, and Upshur and colleagues and obtain guidelines to aid in the evidence-to-actionable-clinical- knowledge transition.

Clinical decision-making is not infallible, and the steps we can take to minimize error are context dependent. Medical evidence, produced as it is by human effort, can never be perfect. We will be doing well by assuring that the evidence we use has been produced by a reliable process and is relevant to the question posed.

Clinical decision-making is not infallible, and the steps we can take to minimize error are context dependent. Medical evidence, produced as it is by human effort, can never be perfect. We will be doing well by assuring that the evidence we use has been produced by a reliable process and is relevant to the question posed.The computed fluoride ion affinity (FIA) is a widely applied descriptor to gauge Lewis acidity. Like every other single-parameter Lewis acidity scale, the FIA metric suffers from the one-dimensionality, that prohibits addressing Lewis acidity by the multidimensionality it inherently requires (i. e., reference Lewis base dependency). However, a systematic screening of computed affinities other than the FIA is much less developed. Herein, we extended our CCSD(T)/CBS benchmark of different density functionals and the DLPNO-CCSD(T) method for chloride (CIA), methide (MIA), hydride (HIA), water (WA), and ammonia (AA) affinities. The best performing methods are subsequently applied to yield nearly 800 affinities for 183 p-block element compounds of group 13-16 with an estimated accuracy of less then 10 kJ mol-1 . The study's output serves as a consistent library for qualitative analyses and a training set for future statistical approaches. A first holistic correlation analysis underscores the need for a multidimensional description of Lewis acidity.

Embedding research into practice is challenging. Barriers include a shortage of time, lack of understanding of the evidence and a poor support in the clinical setting. A community of practice (CoP) model has been used to address these issues. Three 'Evidence into Practice' groups use a CoP model to assist the rapid translation of evidence into practice in primary and secondary care settings. We describe how a CoP model supports the functions, operations and outputs of three 'Evidence into Practice Groups'.

A CoP model is used to engage a broad range of clinicians, researchers, managers, patients and librarians in the complex process of acquiring research knowledge and then translating knowledge into practice. The CoP principles of Domain, Community and Practice are used to describe three 'Evidence into Practice Groups' who cater for different elements of the care and academic sector and engage a range of professional groups. This includes primary and secondary care engaging professionals such as general pl ensure that practice change is quick and efficient. This model can be replicated at scale. Consideration needs to be given to the key ingredients to achieve impact.

The CoP model encourages the rapid translation of evidence into practice by engaging staff to identify areas of clinical concern in their own context, thereby stimulating their interest and involvement. This creates a meaningful link between research and practice. Clinical leadership and the CoP model ensure that practice change is quick and efficient. This model can be replicated at scale. Consideration needs to be given to the key ingredients to achieve impact.Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, characterized by an aberrant metabolic phenotype with high metastatic capacity, resulting in poor patient prognoses and low survival rates. We designed a series of novel AuIII cyclometalated prodrugs of energy-disrupting Type II antidiabetic drugs namely, metformin and phenformin. Prodrug activation and release of the metformin ligand was achieved by tuning the cyclometalated AuIII fragment. The lead complex 3met was 6000-fold more cytotoxic compared to uncoordinated metformin and significantly reduced tumor burden in mice with aggressive breast cancers with lymphocytic infiltration into tumor tissues. These effects was ascribed to 3met interfering with energy production in TNBCs and inhibiting associated pro-survival responses to induce deadly metabolic catastrophe.

Patients with cancer are at high risk for infection, but the epidemiology of healthcare-associated Staphylococcus aureus bacteraemia (HA-SAB) and Clostridioides difficile infection (HA-CDI) in Australian cancer patients has not previously been reported.

To compare the cumulative aggregate incidence and time trends of HA-SAB and HA-CDI in a predefined cancer cohort with a mixed statewide patient population in Victoria, Australia.

All SAB and CDI events in patients admitted to Victorian healthcare facilities between 1

July 2010 and 31

December 2018 were submitted to the Victorian Healthcare Associated Infection Surveillance System Coordinating Centre. Descriptive analyses and multilevel mixed-effects Poisson regression modelling were applied to a standardised data extract.

In total, 10,608 and 13,118 SAB and CDI events were reported across 139 Victorian healthcare facilities, respectively. Of these, 89 (85%) and 279 (88%) were healthcare-associated in the cancer cohort compared to 34% (3,561/10,503).

Descriptions of symptoms and medication use at end-of-life in COVID-19 are limited to small cross-sectional studies, with no Australian longitudinal data.

To describe end-of-life symptoms and care needs of people dying of COVID-19.

This retrospective cohort study included consecutive admitted patients who died at a Victorian tertiary referral hospital from 1 January to 30 September directly due to COVID-19. Clinical characteristics, symptoms, and use of supportive therapies including medications and non-pharmacological interventions in the last three days of life were extracted.

The cohort comprised 58 patients (median age 87 years IQR 81, 90) predominantly admitted from home (n=30), who died after a median of 11 days (IQR 6, 28) in the acute medical (n=31) or aged care (n=27) wards of the hospital. The median Charlson Comorbidity Score was 7 (IQR 5,8). Breathlessness (n=42), agitation (n=36) and pain (n=33) were the most frequent clinician-reported symptoms in the final three days of life, with most death. This article is protected by copyright. All rights reserved.A 16-year-old with new-onset dilated cardiomyopathy underwent VAD placement, later complicated by low flow from outflow graft kinking. To expedite heart transplantation, TCV was calculated and compared with 141 normal patients pinpointing the upper weight threshold. He was transplanted 2 days later within the expanded weight range with no post-transplant complications.Zerumin A (ZA) is one of the potential components of Curcuma amada rhizomes, and it has been shown to possess a variety of pharmacological activities. This study deals with the beneficial activity of ZA in lipopolysaccharide (LPS)-stimulated inflammation in H9c2 cardiomyoblasts. Herein, H9c2 cells were preincubated with ZA for 1 h and stimulated with LPS for 24 h. The cells were analyzed for the expression of various pro-inflammatory mediators and signaling molecules. Results showed that the cell viability was significantly improved and reactive oxygen species production was alleviated remarkably with ZA pretreatment. Stattic in vivo We also found that ZA pretreatment significantly suppressed the upregulation of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2) protein levels, and nitric oxide (NO) release in LPS-stimulated cells. In addition, ZA significantly ameliorated LPS-elicited overexpression of pro-inflammatory chemokines and cytokines such as monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor α (TNF- α), interferon-γ (IFN-γ), and interleukin-1 (IL-1) in H9c2 cells, and it upregulated the synthesis of the anti-inflammatory cytokine interleukin-10 (IL-10). Moreover, pretreatment with ZA and the mitogen-activated protein kinases (MAPK) pathway inhibitors also reduced the phosphorylation of extracellular signal-regulated kinase (ERK), c-Jun N-terminal kinases (JNK), and p38. ZA significantly inhibited IkB-a phosphorylation and nuclear factor (NF)-kB p65 subunit translocation into nuclei. Overall data demonstrated that ZA protects cardiomyocytes against LPS injury by inhibiting NF-kB p65 activation via the MAPK signaling pathway in vitro. These findings suggest that ZA may be a promising agent for a detailed study for the prevention or treatment of myocardial dysfunction in sepsis.

Clinical guidelines suggest that psychological interventions specifically aimed at reducing suicidality may be beneficial. We examined the impact of two depression treatments, cognitive therapy (CT) and interpersonal psychotherapy (IPT) on suicidal ideation (SI) and explored the temporal associations between depression and SI over the course of therapy.

Ninety-one adult(18-65) depressed outpatients from a large randomized controlled trial who were treated with CT (n = 37) and IPT (n = 54) and scored at least ≥1 on the Beck Depression Inventory II (BDI-II) suicide item were included. Linear (two-level) mixed effects models were used to evaluate the impact of depression treatments on SI. Mixed-effects time-lagged models were applied to examine temporal relations between the change in depressive symptoms and the change in SI.

SI decreased significantly during treatment and there were no differential effects between the two intervention groups (B = -0.007, p = .35). Depressive symptoms at the previous session did not predict higher levels of SI at the current session (B = 0.016, p = .16). However, SI measured at the previous session significantly predicted depressive symptoms at the current session (B = 2.06, p < .001).

Both depression treatments seemed to have a direct association with SI. The temporal association between SI and depression was unidirectional with SI predicting future depressive symptoms during treatment. Our findings suggest that it may be most beneficial to treat SI first.

Both depression treatments seemed to have a direct association with SI. The temporal association between SI and depression was unidirectional with SI predicting future depressive symptoms during treatment. Our findings suggest that it may be most beneficial to treat SI first.

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