Health research is conducted with the expectation that it advances knowledge and eventually translates into improved health systems and population health. However, research findings are often caught ...in the know-do gap: they are not acted upon in a timely way or not applied at all. Integrated knowledge translation (IKT) is advanced as a way to increase the relevance, applicability and impact of research. With IKT, knowledge users work with researchers throughout the research process, starting with identification of the research question. Knowledge users represent those who would be able to use research results to inform their decisions (e.g. clinicians, managers, policy makers, patients/families and others). Stakeholders are increasingly interested in the idea that IKT generates greater and faster societal impact. Stakeholders are all those who are interested in the use of research results but may not necessarily use them for their own decision-making (e.g. governments, funders, researchers, health system managers and policy makers, patients and clinicians). Although IKT is broadly accepted, the actual research supporting it is limited and there is uncertainty about how best to conduct and support IKT. This paper presents a protocol for a programme of research testing the assumption that engaging the users of research in phases of its production leads to (a) greater appreciation of and capacity to use research; (b) the production of more relevant, useful and applicable research that results in greater impact; and (c) conditions under which it is more likely that research results will influence policy, managerial and clinical decision-making.
The research programme will adopt an interdisciplinary, international, cross-sector approach, using multiple and mixed methods to reflect the complex and social nature of research partnerships. We will use ongoing and future natural IKT experiments as multiple cases to study IKT in depth, and we will take advantage of the team's existing relationships with provincial, national and international organizations. Case studies will be retrospective and prospective, and the 7-year grant period will enable longitudinal studies. The initiation of partnerships, funding processes, the research lifecycle and then outcomes/impacts post project will be studied in real time. These living laboratories will also allow testing of strategies to improve the efficiency and effectiveness of the IKT approach.
This is the first interdisciplinary, systematic and programmatic research study on IKT. The research will provide scientific evidence on how to reliably and validly measure collaborative research partnerships and their impacts. The proposed research will build the science base for IKT, assess its relationship with research use and identify best practices and appropriate conditions for conducting IKT to achieve the greatest impact. It will also train and mentor the next generation of IKT researchers.
Radiocarbon-Based Chronology for Dynastic Egypt Ramsey, Christopher Bronk; Dee, Michael W; Rowland, Joanne M ...
Science (American Association for the Advancement of Science),
06/2010, Letnik:
328, Številka:
5985
Journal Article
Recenzirano
The historical chronologies for dynastic Egypt are based on reign lengths inferred from written and archaeological evidence. These floating chronologies are linked to the absolute calendar by a few ...ancient astronomical observations, which remain a source of debate. We used 211 radiocarbon measurements made on samples from short-lived plants, together with a Bayesian model incorporating historical information on reign lengths, to produce a chronology for dynastic Egypt. A small offset (19 radiocarbon years older) in radiocarbon levels in the Nile Valley is probably a growing-season effect. Our radiocarbon data indicate that the New Kingdom started between 1570 and 1544 B.C.E., and the reign of Djoser in the Old Kingdom started between 2691 and 2625 B.C.E.; both cases are earlier than some previous historical estimates.
A system using administrative claims to monitor medication use patterns and associated adverse events is not currently available. Establishment of a standardized method to identify Medicare ...beneficiaries at high risk for adverse events, by assessing Medicare Part D medication claim patterns and associated outcomes, including outpatient adverse drug events (ADEs) and hospital use, enhances prevention efforts and monitoring for quality improvement efforts.
To (a) demonstrate that Medicare claims data can be used to identify a population of beneficiaries at high risk for adverse events for quality improvement and (b) define trends associated with adverse health outcomes in identified high-risk beneficiaries for quality improvement opportunities.
We used Medicare fee-for-service Part D claims data to identify a population at high risk for adverse events by evaluating medication use patterns. This population was taking at least 3 medications, 1 of which was an anticoagulant, an opioid, or an antidiabetic agent. Next, we used associated Part A claims to calculate rates of outpatient ADEs, looking for specific ICD-9-CM or ICD-10-CM codes in the principal diagnosis code position. Rates of hospital use (inpatient hospitalization, observation stays, emergency department visits, and 30-day rehospitalizations) were also evaluated for the identified high-risk population. The data were then shared for targeted quality improvement.
We identified 8,178,753 beneficiaries at high risk for adverse events, or 20.7% of the total eligible fee-for-service population (time frame of October 2016-September 2017). The overall rate of outpatient ADEs for beneficiaries at high risk was 46.28 per 1,000, with anticoagulant users demonstrating the highest rate of ADEs (68.52/1,000), followed by opioid users (42.11/1,000) and diabetic medication users (20.72/1,000). As expected, the primary setting for beneficiaries at high risk to seek care for outpatient ADEs was the emergency department, followed by inpatient hospitalizations and observation stays.
Medicare claims are an accessible source of data, which can be used to establish for quality improvement a population at high risk for ADEs and increased hospital use. Using medication use patterns to attribute risk and associated outcomes, such as outpatient ADEs and hospital use, is a simple process that can be readily implemented. The described method has the potential to be further validated and used as a foundation to monitor population-based quality improvement efforts for medication safety.
This work was performed under contract HHSM-500-2014-QINNCC, Modification No. 000004, funded by Centers for Medicare & Medicaid Services (CMS), an agency of the U.S. Department of Health and Human Services. CMS did not have a role in the analysis. At the time of this analysis, Digmann, Peppercorn, Zhang, Irby, and Brock were employees of Telligen, which was awarded the National Coordinating Center-Quality Improvement Organization contract from CMS, which supported the work. Ryan was an employee at Qsource, which was awarded the Quality Innovation Network-Quality Improvement Organization contract from CMS, which supported the work. Thomas was employed by CMS. The content is solely the responsibility of the authors and does not necessarily represent the official views or policies of the CMS. This work is posted on the QIOprogram.org website, as recommended in the Common Rule ( https://www.hhs.gov/ohrp/regulations-and-policy/regulations/common-rule/index.html ).
Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification ...of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Lehmann et al have identified four molecular subtypes of triple-negative breast cancer (TNBC)-basal-like (BL) 1, BL2, mesenchymal (M), and luminal androgen receptor-and an immunomodulatory (IM) gene ...expression signature modifier. Our group previously showed that the response of TNBC to neoadjuvant systemic chemotherapy (NST) differs by molecular subtype, but whether NST affects the subtype was unknown. Here, we tested the hypothesis that in patients without pathologic complete response, TNBC subtypes can change after NST. Moreover, in cases with the changed subtype, we determined whether epithelial-to-mesenchymal transition (EMT) had occurred.
From the Pan-Pacific TNBC Consortium data set containing TNBC patient samples from four countries, we examined 64 formalin-fixed, paraffin-embedded pairs of matched pre- and post-NST tumor samples. The TNBC subtype was determined using the TNBCtype-IM assay. We analyzed a partial EMT gene expression scoring metric using mRNA data.
Of the 64 matched pairs, 36 (56%) showed a change in the TNBC subtype after NST. The most frequent change was from BL1 to M subtypes (38%). No tumors changed from M to BL1. The IM signature was positive in 14 (22%) patients before NST and eight (12.5%) patients after NST. The EMT score increased after NST in 28 (78%) of the 36 patients with the changed subtype (
39% of the 28 patients without change;
= .002254).
We report, to our knowledge, for the first time that the TNBC molecular subtype and IM signature frequently change after NST. Our results also suggest that EMT is promoted by NST. Our findings may lead to innovative adjuvant therapy strategies in TNBC cases with residual tumor after NST.
Background:
Patients at high risk of medication errors will potentially benefit most from medication reviews. An algorithm, MERIS, can identify the patients who are at highest risk of medication ...errors. The aim of this study was to examine the effects of performing stratified medication reviews on patients who according to MERIS were at highest risk of medication errors.
Methods:
A randomised controlled trial was performed at the Acute Admissions Unit, Aarhus University Hospital, Denmark. Patients were included at admission to the hospital and were randomised to control or intervention. The intervention consisted of stratified medication review at admission on patients with a high MERIS score. Clinical pharmacists and clinical pharmacologists performed the medication reviews; the clinical pharmacologists performed the reviews on patients with the highest MERIS score. The primary outcome measure was the number of prescribing errors during the hospitalisation. Secondary outcomes included self-experienced quality of life, health-care utilisation and mortality measured at follow-up 90 days after discharge.
Results:
A total of 375 patients were included, of which medication reviews were performed in 64 patients. The medication reviews addressed 63 prescribing errors in 37 patients and 60 other drug-related problems. No difference in the number of prescribing errors during hospitalisation between the intervention group (n = 165) and control group (n = 153) was found, corresponding to 0.11 prescribing errors per drug (95% confidence interval (CI): 0.08–0.14) versus 0.13 per drug (95% CI: 0.09–0.16), respectively. No differences in secondary outcomes were observed.
Conclusion:
A stratified medication review approach based on the individual patient’s risk of medication errors did not show impact on the chosen outcomes.
Plain language summary
How does a medication review at admission affect patients who are in high risk of medication errors?
Patients are at risk of medication errors at admission to hospital. Medication reviews aim to detect and solve these. Yet, due to limited resources in healthcare, it would be beneficial to detect the patients who are most at risk of medication errors and perform medication reviews on those patients.
In this study we investigated whether an algorithm, MERIS, could detect patients who are at highest risk of medication errors; we also studied whether performing medication reviews on patients at highest risk of medication errors would have an effect on, for example, the number of medication errors during hospitalisation, qualify of life and number of readmissions. We included 375 patients in a Danish acute admission unit and they were divided into control group and intervention group. Patients in the intervention group received a medication review at admission if they were considered at high risk of medication errors, assessed with the aid of MERIS. In summary, 64 patients in the intervention group were most at risk of medication errors and therefore received a medication review.
We conclude in the study that MERIS was useful in identifying relevant patients for medication reviews. Yet, the medication reviews performed at admission did not impact on the chosen outcomes.
Purpose
Despite the prevalence of fear of cancer recurrence (FCR), understanding of factors underlying clinically significant FCR is limited. This study examined factors associated with greater FCR ...morbidity, according to a cognitive processing model, in cancer survivors who screened positively for clinically significant FCR seeking psychological treatment through the ConquerFear trial.
Methods
Participants had completed treatment for breast, colorectal or melanoma cancer 2 months to 5 years previously and scored ≥ 13/36 on the Fear of Cancer Recurrence Inventory-Short Form (FCRI-SF). Hierarchical regression analyses examined associations between demographic, medical and psychological variables, namely metacognitions (MCQ-30), post-traumatic stress symptoms (IES-R) and FCR (FCRI total score).
Results
Two hundred and ten (95%) of the 222 cancer survivors who consented to the ConquerFear trial completed the baseline questionnaire. Participants were predominantly (89%) breast cancer survivors. The final regression model accounted for 68% of the variance in FCR (demographic and medical variables 13%, metacognitions 26%, post-traumatic stress symptoms 28%). Negative metacognitive beliefs about worry and intrusive post-traumatic stress symptoms were significant individual correlates of FCR, but negative beliefs about worry did not significantly moderate the impact of intrusions on FCR morbidity.
Conclusions
Results provide partial support for the cognitive processing model of FCR. Psychological factors were found to play an important role in FCR morbidity after controlling for demographic/medical factors. More intrusive thoughts and negative beliefs about worry were strong independent predictors of FCR morbidity. Cancer survivors with clinically significant FCR may benefit from assessment for intrusive thoughts and metacognitions and delivery of trauma- and/or metacognitive-based interventions accordingly.
Abstract
Background: High body mass index (BMI) is an established risk factor for developing breast cancer (BC), especially estrogen receptor (ER)-positive, and also has been associated with adverse ...survival. Still, patients with BC are currently treated independently of their BMI given limited understandings of the association between BC biology and patient adiposity. In this study, using retrospective data retrieved from two large BC studies, we aimed to identify genomic alterations of primary BC that are associated with BMI in the most common histological BC subtype - invasive carcinoma of no special type (NST). Patients, Data and Methods: Clinicopathological and genomic alteration data were retrieved from two study cohorts: METABRIC (Pereira et al. 2016) and ICGC (Nik-Zainal et al. 2016), with BMI recorded at the time of diagnosis and represented as either a continuous variable or a categorical variable of three categories - lean, overweight and obese. Stratification according to ER and HER2 status resulted in two focused subgroups: NST ER+/HER2- (n=392) and NST ER-/HER2- (n=152). Mutations classified as oncogenic using a set of predefined criteria were used to determine gene-level mutation status. Copy number alteration (CNA) calls were distinguished into three event types: amplification, hemizygous deletion and homozygous deletion. We used multivariable Firth’s logistic regression models with the presence of a genomic alteration as the response variable, BMI as the predicting variable of interest, and data cohort (METABRIC vs ICGC), age group (≤50 vs >50) and tumor grade (I & II vs III) as covariates, to assess the associations between BMI and recurrent gene-level genomic alterations, including gene mutations and CNAs. In a similar manner, we performed multivariable linear regression analysis, adjusting for age and tumor grade, to evaluate the associations of BMI with mutational signatures (MS) and tumor mutational burden in the ICGC NST subsets where these data are available. Results: Considering BMI as a categorical variable, we observed in the NST ER+/HER2- subgroup that PIK3CA was significantly less frequently mutated in obese compared to lean patients (33% vs 46%, odds ratio (OR) = 0.57 (95% confidence interval = (0.33, 0.97)), p = .039), while PTEN and TBX3 showed an increased frequency in overweight (6% vs 1%, OR = 4.14 (1.1, 22.34), p = .034) and obese (8% vs 1%, OR = 7.41 (1.82, 70.65), p = .008) patients, respectively. Regression analyses with BMI as a continuous variable revealed an increased prevalence of mutations in CDH1 and TBX3 genes as BMI increases by 1kg/m2 (OR = 1.14 (1.05, 1.24), p = .002, and OR = 1.13 (1.04, 1.22), p = .005, respectively) in patients with NST ER+/HER2- BC. No associations between BMI and oncogenic mutations was observed in the NST ER-/HER2- subgroup. Interrogation of gene-level CNAs in both subgroups demonstrated differences according to BMI in the prevalence of CNAs affecting a number of genes, many of which are known or have been presented with evidence to be involved in regulation of or regulated by hallmark pathways of BC, such as the MAPK/ERK, JAK/STAT and Wnt/β-catenin signaling pathways. We report a strong positive association between the single-base substitution signature 1 (SBS1), an age-correlated MS, and both continuous (coefficient (coef) = 18.3 (7.7, 28.9), p < .001) and categorical BMI (obese vs lean, coef = 336.3 (187.9, 484.8), p < .001) in the ICGC NST ER+/HER2- subgroup. Conclusion: This exploratory retrospective study suggests that the genomic profiles of primary BC may differ according to BMI. Clinical implications of these differences, especially the decreased prevalence of PIK3CA mutations in obese patients in the context of alpelisib, warrant further investigation. These results however indicate that patient adiposity should be taken into account in the era of personalized medicine.
Citation Format: Ha-Linh Nguyen, Tatjana Geukens, Marion Maetens, Karen Van Baelen, Maxim De Schepper, Sophia Leduc, Edoardo Isnaldi, Sam Aparicio, Ake Borg, Jane Brock, Annegien Broeks, Carlos Caldas, Andrew Green, Hazem Khout, Eyfjörð Jórunn, Stian Knappskog, Savitri Krishnamurthy, Sunil Lakhani, Anita Langerod, John WM Martens, Leigh Murphy, Serena Nik-Zainal, Colin Purdie, Emad Rakha, Andrea Richardson, Anne Salomon, Peter Simpson, Christos Sotiriou, Paul Span, Benita Kiat-Tee Tan, Alastair Thompson, Stefania Tommasi, Marc Van de Vijver, Steven Van Laere, Alain Viari, Giuseppe Floris, Elia Biganzoli, François Richard, Christine Desmedt. The association between genomic alterations and body mass index in patients with early breast cancer abstract. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-09-18.
To determine the association of prior use of renin-angiotensin-aldosterone system inhibitors (RAASIs) with mortality and outcomes in hospitalized patients with COVID-19.
Retrospective observational ...study.
Multicenter, international COVID-19 registry.
Adult hospitalized COVID-19 patients on antihypertensive agents (AHAs) prior to admission, admitted from March 31, 2020, to March 10, 2021.
None.
Data were compared between three groups: patients on RAASIs only, other AHAs only, and those on both medications. Multivariable logistic and linear regressions were performed after controlling for prehospitalization characteristics to estimate the effect of RAASIs on mortality and other outcomes during hospitalization. Of 26,652 patients, 7,975 patients were on AHAs prior to hospitalization. Of these, 1,542 patients (19.3%) were on RAASIs only, 3,765 patients (47.2%) were on other AHAs only, and 2,668 (33.5%) patients were on both medications. Compared with those taking other AHAs only, patients on RAASIs only were younger (mean age 63.3 vs 66.9 yr; p < 0.0001), more often male (58.2% vs 52.4%; p = 0.0001) and more often White (55.1% vs 47.2%; p < 0.0001). After adjusting for age, gender, race, location, and comorbidities, patients on combination of RAASIs and other AHAs had higher in-hospital mortality than those on RAASIs only (odds ratio OR = 1.28; 95% CI 1.19-1.38; p < 0.0001) and higher mortality than those on other AHAs only (OR = 1.09; 95% CI 1.03-1.15; p = 0.0017). Patients on RAASIs only had lower mortality than those on other AHAs only (OR = 0.87; 95% CI 0.81-0.94; p = 0.0003). Patients on ACEIs only had higher mortality compared with those on ARBs only (OR = 1.37; 95% CI 1.20-1.56; p < 0.0001).
Among patients hospitalized for COVID-19 who were taking AHAs, prior use of a combination of RAASIs and other AHAs was associated with higher in-hospital mortality than the use of RAASIs alone. When compared with ARBs, ACEIs were associated with significantly higher mortality in hospitalized COVID-19 patients.
Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification ...of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
PDF
