51 research outputs found

    Améliorer la surveillance passive des infections associées aux soins de santé au Canada

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    Les infections associĂ©es aux soins de santĂ© (IASS), ou infections nosocomiales, sont les effets indĂ©sirables les plus frĂ©quemment signalĂ©s dans le monde, affectant environ 1 patient hospitalisĂ© sur 31 chaque jour selon le Centre pour le contrĂŽle et la prĂ©vention des maladies (CDC). La surveillance permet de mesurer, prĂ©venir et contrĂŽler ces infections. Toutefois, elle se doit d’ĂȘtre renforcĂ©e au Canada. L’objectif principal de ce projet est d’amĂ©liorer la surveillance passive des IASS au Canada en Ă©laborant une stratĂ©gie visant Ă  rĂ©duire l’écart entre les donnĂ©es de surveillance active et les donnĂ©es administratives, en plus de comprendre les facteurs qui expliquent cet Ă©cart. Ce mĂ©moire prĂ©sente trois articles et les rĂ©sultats d’un groupe de travail qui ont chacun des objectifs rattachĂ©s au but global du mĂ©moire. En premier lieu, une revue de la littĂ©rature vise Ă  Ă©valuer la validitĂ© des donnĂ©es administratives en comparaison aux donnĂ©es de surveillance active, qui sont la rĂ©fĂ©rence pour la surveillance des IASS. Cet article identifie les divergences entre les deux types de surveillance et dĂ©montre que la surveillance passive n’offre pas de donnĂ©es assez prĂ©cises pour ĂȘtre comparables Ă  celles de la surveillance active. Le deuxiĂšme article a pour objectif d’identifier les barriĂšres et les facilitateurs de l’utilisation des donnĂ©es administratives pour la surveillance, avec un focus sur les IASS au Canada. Il analyse et met en Ă©vidence 120 barriĂšres et facilitateurs, dont la majoritĂ© concerne la qualitĂ© des donnĂ©es, et identifie diverses solutions pour contrer ces barriĂšres. Un troisiĂšme article et un groupe de travail examinent une solution pour amĂ©liorer la qualitĂ© des donnĂ©es codĂ©es par le dĂ©partement des archives mĂ©dicales, soit d’utiliser les donnĂ©es de surveillance active en combinaison avec les dossiers mĂ©dicaux pour coder les IASS. L’article Ă©value la validitĂ© de cette solution sur deux types d’IASS et dĂ©montre l’efficacitĂ© de cette solution. Le groupe de travail Ă©value les barriĂšres et facilitateurs de cette solution et travaille sur des recommandations pour la mettre en place. Ces trois Ă©tudes, en plus du groupe de travail, permettent de constater qu’il y a de nombreuses barriĂšres Ă  l’utilisation des donnĂ©es administratives pour la surveillance des IASS, en particulier concernant la qualitĂ© des donnĂ©es, mais qu’il existe des solutions prometteuses.Healthcare-associated infections (HAIs) are the most commonly reported adverse events worldwide, affecting approximately 1 in 31 hospitalized patients each day according to the Centers for Disease Control and Prevention (CDC). Surveillance helps to measure, prevent and control these infections, but needs to be strengthened in Canada. The main objective of this project is to improve passive surveillance of HAIs in Canada by developing a strategy to reduce the discrepancy between active surveillance data and administrative data, in addition to understanding the factors that explain this discrepancy. This work presents three articles and a working group, each of which has objectives related to the overall goal of the project. First, a review of the literature assesses the validity of administrative data compared to active surveillance data, which is the reference for HAI surveillance. This article identifies the discrepancies between the two types of surveillance and demonstrates that passive surveillance does not provide sufficiently accurate data to be comparable to that of active surveillance. The second article aims to identify the barriers and facilitators to the use of administrative data for surveillance, with a focus on HAIs in Canada. It analyzes and highlights 120 barriers and enablers, the majority of which relate to data quality, and identifies various solutions to counter the barriers. A third article and a working group examine a potential solution to improve the quality of data coded by the medical records department; to use active surveillance data in combination with medical records to code HAIs. The article evaluates the validity of this type of data for two types of IASS and demonstrates the effectiveness of this solution. The working group assesses the barriers and facilitators of this solution and works on recommendations to implement it. These three studies, in addition to the working group, show that there are many barriers to the use of administrative data for the surveillance of HAIs, in particular related to the quality of the data, but that promising solutions are available

    Towards standardization of RNA quality assessment using user-independent classifiers of microcapillary electrophoresis traces

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    While it is universally accepted that intact RNA constitutes the best representation of the steady-state of transcription, there is no gold standard to define RNA quality prior to gene expression analysis. In this report, we evaluated the reliability of conventional methods for RNA quality assessment including UV spectroscopy and 28S:18S area ratios, and demonstrated their inconsistency. We then used two new freely available classifiers, the Degradometer and RIN systems, to produce user-independent RNA quality metrics, based on analysis of microcapillary electrophoresis traces. Both provided highly informative and valuable data and the results were found highly correlated, while the RIN system gave more reliable data. The relevance of the RNA quality metrics for assessment of gene expression differences was tested by Q-PCR, revealing a significant decline of the relative expression of genes in RNA samples of disparate quality, while samples of similar, even poor integrity were found highly comparable. We discuss the consequences of these observations to minimize artifactual detection of false positive and negative differential expression due to RNA integrity differences, and propose a scheme for the development of a standard operational procedure, with optional registration of RNA integrity metrics in public repositories of gene expression data

    A Functional and Regulatory Network Associated with PIP Expression in Human Breast Cancer

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    BACKGROUND: The PIP (prolactin-inducible protein) gene has been shown to be expressed in breast cancers, with contradictory results concerning its implication. As both the physiological role and the molecular pathways in which PIP is involved are poorly understood, we conducted combined gene expression profiling and network analysis studies on selected breast cancer cell lines presenting distinct PIP expression levels and hormonal receptor status, to explore the functional and regulatory network of PIP co-modulated genes. PRINCIPAL FINDINGS: Microarray analysis allowed identification of genes co-modulated with PIP independently of modulations resulting from hormonal treatment or cell line heterogeneity. Relevant clusters of genes that can discriminate between [PIP+] and [PIP-] cells were identified. Functional and regulatory network analyses based on a knowledge database revealed a master network of PIP co-modulated genes, including many interconnecting oncogenes and tumor suppressor genes, half of which were detected as differentially expressed through high-precision measurements. The network identified appears associated with an inhibition of proliferation coupled with an increase of apoptosis and an enhancement of cell adhesion in breast cancer cell lines, and contains many genes with a STAT5 regulatory motif in their promoters. CONCLUSIONS: Our global exploratory approach identified biological pathways modulated along with PIP expression, providing further support for its good prognostic value of disease-free survival in breast cancer. Moreover, our data pointed to the importance of a regulatory subnetwork associated with PIP expression in which STAT5 appears as a potential transcriptional regulator

    Deciphering cellular states of innate tumor drug responses

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    BACKGROUND: The molecular mechanisms underlying innate tumor drug resistance, a major obstacle to successful cancer therapy, remain poorly understood. In colorectal cancer (CRC), molecular studies have focused on drug-selected tumor cell lines or individual candidate genes using samples derived from patients already treated with drugs, so that very little data are available prior to drug treatment. RESULTS: Transcriptional profiles of clinical samples collected from CRC patients prior to their exposure to a combined chemotherapy of folinic acid, 5-fluorouracil and irinotecan were established using microarrays. Vigilant experimental design, power simulations and robust statistics were used to restrain the rates of false negative and false positive hybridizations, allowing successful discrimination between drug resistance and sensitivity states with restricted sampling. A list of 679 genes was established that intrinsically differentiates, for the first time prior to drug exposure, subsequently diagnosed chemo-sensitive and resistant patients. Independent biological validation performed through quantitative PCR confirmed the expression pattern on two additional patients. Careful annotation of interconnected functional networks provided a unique representation of the cellular states underlying drug responses. CONCLUSION: Molecular interaction networks are described that provide a solid foundation on which to anchor working hypotheses about mechanisms underlying in vivo innate tumor drug responses. These broad-spectrum cellular signatures represent a starting point from which by-pass chemotherapy schemes, targeting simultaneously several of the molecular mechanisms involved, may be developed for critical therapeutic intervention in CRC patients. The demonstrated power of this research strategy makes it generally applicable to other physiological and pathological situations

    Leveraging Natural History Data in One- and Two-Arm Hierarchical Bayesian Studies of Rare Disease Progression

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    peer reviewedThe small sample sizes inherent in rare and pediatric disease settings offer significant challenges for clinical trial design. In such settings, Bayesian adaptive trial methods can often pay dividends, allowing the sensible incorporation of auxiliary data and other relevant information to bolster that collected by the trial itself. Previous work has also included the use of one-arm trials augmented by the participants’ own natural history data, from which the future course of the disease in the absence of intervention can be predicted. Patient response can then be defined by the degree to which post-intervention observations are inconsistent with the predicted “natural” trajectory. While such trials offer obvious advantages in efficiency and ethical hazard (since they expose no new patients to a placebo, anathema to patients or their parents and caregivers), they can offer no protection against bias arising from the presence of any “placebo effect,” the tendency of patients to improve merely by being in the trial. In this paper, we investigate the impact of both static and transient placebo effects on one-arm responder studies of this type, as well as two-arm versions that incorporate a small concurrent placebo group but still borrow strength from the natural history data. We also propose more traditional Bayesian changepoint models that specify a parametric functional form for the patient’s post-intervention trajectory, which in turn allow quantification of the treatment benefit in terms of the model parameters, rather than semi-parametrically in terms of a response relative to some “null” model. We compare the operating characteristics of our designs in the context of an ongoing investigation of centronuclear myopathies (CNMs), a group of congenital neuromuscular diseases whose most common and severe form is X-linked, affecting approximately 1 in 50,000 newborn boys. Our results indicate our two-arm responder and changepoint methods can offer protection against placebo effects, improving power while protecting the trial’s Type I error rate. However, further research into innovative trial designs as well as ongoing dialog with regulatory authorities remain critically important in rare disease research

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

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    IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570
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