Implementation of the Canadian Cardiovascular Society guidelines for perioperative risk assessment and management: an interrupted time series study.

PURPOSE: The Canadian Cardiovascular Society (CCS) guidelines for patients undergoing non-cardiac surgery address the lack of standardized management for patients at risk of perioperative cardiovascular complications. Our interdisciplinary group evaluated the implementation of these guidelines. METHODS: We used an interrupted time series design to evaluate the effect of implementation of the CCS guidelines, using routinely collected hospital data. The study population consisted of elective, non-cardiac surgery patients who were: i) inpatients following surgery and ii) age ≥ 65 or age 45-64 yr with a Revised Cardiac Risk Index ≥ 1. Outcomes included adherence to troponin I (TnI) monitoring (primary) and adherence to appropriate consultant care for patients with elevated TnI (secondary). Exploratory outcomes included cost measures and clinical outcomes such as length of stay. RESULTS: We included 1,421 patients (706 pre- and 715 post-implementation). We observed a 67% absolute increase (95% confidence interval, 55 to 80; P < 0.001) in adherence to TnI testing following the implementation of the guidelines. In patients who had elevated TnI following guideline implementation (n = 64), the majority (85%) received appropriate follow-up care in the form of a general medicine or cardiology consult, all received at least one electrocardiogram, and half received at least one advanced cardiac test (e.g., cardiac perfusion scan, or percutaneous intervention). CONCLUSIONS: Our study showed the ability to implement and adhere to the CCS guidelines. Large-scale multicentre evaluations of CCS guideline implementation are needed to gain a better understanding of potential effects on clinically relevant outcomes.

RéSUMé: OBJECTIF: Les lignes directrices de la Société canadienne de cardiologie (SCC) concernant les patients subissant une chirurgie non cardiaque ont été conçues pour pallier l'absence de standardisation dans la prise en charge des patients à risque de complications cardiovasculaires périopératoires. Notre groupe interdisciplinaire a évalué la mise en œuvre de ces lignes directrices. MéTHODE: Nous avons utilisé une méthodologie de série chronologique interrompue pour évaluer l'effet de la mise en œuvre des lignes directrices de la SCC, à l'aide des données hospitalières habituellement recueillies. La population à l'étude se composait de patients de chirurgies non cardiaques non urgentes qui étaient : i) hospitalisés après leur chirurgie et ii) âgés de ≥ 65 ans ou de 45 à 64 ans avec un Indice de risque cardiaque révisé ≥ 1. Les critères d'évaluation comprenaient l'observance du monitorage de la troponine I (TnI) (critère d'évaluation primaire) et l'observance des soins spécialisés appropriés aux patients présentant un taux élevé de TnI (critère secondaire). Les critères exploratoires comprenaient des mesures de coûts et des résultats cliniques tels que la durée de séjour. RéSULTATS: Nous avons inclus 1421 patients (706 avant et 715 après la mise en œuvre). Nous avons observé une augmentation absolue de 67 % (intervalle de confiance de 95 %, 55 à 80; P < 0,001) de l'observance des tests de la TnI suite à la mise en œuvre des lignes directrices. Parmi les patients présentant un taux élevé de TnI suite à la mise en œuvre des lignes directrices (n = 64), la majorité (85%) a reçu des soins de suivi appropriés sous la forme d'une consultation en médecine générale ou en cardiologie; tous ont subi au moins un électrocardiogramme, et la moitié ont passé au moins un examen cardiaque subséquent (p. ex., évaluation de la perfusion myocardique par scintigraphie ou cathétérisme percutané). CONCLUSION: Notre étude a montré qu'il est possible de mettre en œuvre et d'adhérer aux nouvelles lignes directrices de la SCC. Des évaluations multicentriques à grande échelle portant sur la mise en œuvre des lignes directrices de la SCC sont nécessaires pour mieux comprendre ses effets potentiels sur les devenirs cliniquement pertinents.

Newly developed quantitative transactivation system shows difference in activation by Vitis CBF transcription factors on DRE/CRT elements.

BACKGROUND: Agroinfiltration-based transactivation systems can determine if a protein functions as a transcription factor, and via which promoter element. However, this activation is not always a yes or no proposition. Normalization for variation in plasmid delivery into plant cells, sample collection and protein extraction is desired to allow for a quantitative comparison between transcription factors or promoter elements. RESULTS: We developed new effector and reporter plasmids which carry additional reporter genes, as well as a procedure to assay all three reporter enzymes from a single extract. The applicability of these plasmids was demonstrated with the analysis of CBF transcription factors and their target promoter sequence, DRE/CRT. Changes in the core DRE/CRT sequence abolished activation by Vitis CBF1 or Vitis CBF4, whereas changes in the surrounding sequence lowered activation by Vitis CBF1 but much less so for Vitis CBF4. The system also detected a reduction in activation due to one amino acid change in Vitis CBF1. CONCLUSIONS: The newly developed effector and reporter plasmids improve the ability to quantitatively compare the activation on two different promoter elements by the same transcription factor, or between two different transcription factors on the same promoter element. The quantitative difference in activation by VrCBF1 and VrCBF4 on various DRE/CRT elements support the hypothesis that these transcription factors have unique roles in the cold acclimation process.

Cerebral blood flow velocity during mental activation: interpretation with different models of the passive pressure-velocity relationship.

The passive relationship between arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) has been expressed by a single parameter [cerebrovascular resistance (CVR)] or, alternatively, by a two-parameter model, comprising a resistance element [resistance-area product (RAP)] and a critical closing pressure (CrCP). We tested the hypothesis that the RAP+CrCP model can provide a more consistent interpretation to CBFV responses induced by mental activation tasks than the CVR model. Continuous recordings of CBFV [bilateral, middle cerebral artery (MCA)], ABP, ECG, and end-tidal CO(2) (EtCO(2)) were performed in 13 right-handed healthy subjects (aged 21-43 yr), in the seated position, at rest and during 10 repeated presentations of a word generation and a constructional puzzle paradigm that are known to induce differential cortical activation. Due to its small relative change, the CBFV response can be broken down into standardized subcomponents describing the relative contributions of ABP, CVR, RAP, and CrCP. At rest and during activation, the RAP+CrCP model suggested that RAP might reflect myogenic activity in response to the ABP transient, whereas CrCP was more indicative of metabolic control. These different influences were not reflected by the CVR model, which indicated a predominantly metabolic response. Repeated-measures multi-way ANOVA showed that CrCP (P = 0.025), RAP (P = 0.046), and CVR (P = 0.002) changed significantly during activation. CrCP also had a significant effect of paradigm (P = 0.045) but not hemispheric dominance. Both RAP (P = 0.039) and CVR (P = 0.0008) had significant effects of hemispheric dominance but were not sensitive to the different paradigms. Subcomponent analysis can help with the interpretation of CBFV responses to mental activation, which were found to be dependent on the underlying model of the passive ABP-CBFV relationship.

Dynamic cerebral autoregulation during brain activation paradigms.

Dynamic cerebral autoregulation (CA) describes the transient response of cerebral blood flow (CBF) to rapid changes in arterial blood pressure (ABP). We tested the hypothesis that the efficiency of dynamic CA is increased by brain activation paradigms designed to induce hemispheric lateralization. CBF velocity [CBFV; bilateral, middle cerebral artery (MCA)], ABP, ECG, and end-tidal Pco(2) were continuously recorded in 14 right-handed healthy subjects (21-43 yr of age), in the seated position, at rest and during 10 repeated presentations (30 s on-off) of a word generation test and a constructional puzzle. Nonstationarities were not found during rest or activation. Transfer function analysis of the ABP-CBFV (i.e., input-output) relation was performed for the 10 separate 51.2-s segments of data during activation and compared with baseline data. During activation, the coherence function below 0.05 Hz was significantly increased for the right MCA recordings for the puzzle tasks compared with baseline values (0.36 +/- 0.16 vs. 0.26 +/- 0.13, P < 0.05) and for the left MCA recordings for the word paradigm (0.48 +/- 0.23 vs. 0.29 +/- 0.16, P < 0.05). In the same frequency range, significant increases in gain were observed during the puzzle paradigm for the right (0.69 +/- 0.37 vs. 0.46 +/- 0.32 cm.s(-1).mmHg(-1), P < 0.05) and left (0.61 +/- 0.29 vs. 0.45 +/- 0.24 cm.s(-1).mmHg(-1), P < 0.05) hemispheres and during the word tasks for the left hemisphere (0.66 +/- 0.31 vs. 0.39 +/- 0.15 cm.s(-1).mmHg(-1), P < 0.01). Significant reductions in phase were observed during activation with the puzzle task for the right (-0.04 +/- 1.01 vs. 0.80 +/- 0.86 rad, P < 0.01) and left (0.11 +/- 0.81 vs. 0.57 +/- 0.51 rad, P < 0.05) hemispheres and with the word paradigm for the right hemisphere (0.05 +/- 0.87 vs. 0.64 +/- 0.59 rad, P < 0.05). Brain activation also led to changes in the temporal pattern of the CBFV step response. We conclude that transfer function analysis suggests important changes in dynamic CA during mental activation tasks.

A novel approach for clustering proteomics data using Bayesian fast Fourier transform.

MOTIVATION: Bioinformatics clustering tools are useful at all levels of proteomic data analysis. Proteomics studies can provide a wealth of information and rapidly generate large quantities of data from the analysis of biological specimens. The high dimensionality of data generated from these studies requires the development of improved bioinformatics tools for efficient and accurate data analyses. For proteome profiling of a particular system or organism, a number of specialized software tools are needed. Indeed, significant advances in the informatics and software tools necessary to support the analysis and management of these massive amounts of data are needed. Clustering algorithms based on probabilistic and Bayesian models provide an alternative to heuristic algorithms. The number of clusters (diseased and non-diseased groups) is reduced to the choice of the number of components of a mixture of underlying probability. The Bayesian approach is a tool for including information from the data to the analysis. It offers an estimation of the uncertainties of the data and the parameters involved. RESULTS: We present novel algorithms that can organize, cluster and derive meaningful patterns of expression from large-scaled proteomics experiments. We processed raw data using a graphical-based algorithm by transforming it from a real space data-expression to a complex space data-expression using discrete Fourier transformation; then we used a thresholding approach to denoise and reduce the length of each spectrum. Bayesian clustering was applied to the reconstructed data. In comparison with several other algorithms used in this study including K-means, (Kohonen self-organizing map (SOM), and linear discriminant analysis, the Bayesian-Fourier model-based approach displayed superior performances consistently, in selecting the correct model and the number of clusters, thus providing a novel approach for accurate diagnosis of the disease. Using this approach, we were able to successfully denoise proteomic spectra and reach up to a 99% total reduction of the number of peaks compared to the original data. In addition, the Bayesian-based approach generated a better classification rate in comparison with other classification algorithms. This new finding will allow us to apply the Fourier transformation for the selection of the protein profile for each sample, and to develop a novel bioinformatic strategy based on Bayesian clustering for biomarker discovery and optimal diagnosis.

Cerebral and systemic hemodynamic changes during cognitive and motor activation paradigms.

Cognitive and/or sensorimotor stimulations of the brain induce increases in cerebral blood flow that are usually associated with increased metabolic demand. We tested the hypothesis that changes in arterial blood pressure (ABP) and arterial Pco(2) also take place during brain activation protocols designed to induce hemispheric lateralization, leading to a pressure-autoregulatory response in addition to the metabolic-driven changes usually assumed by brain stimulation paradigms. Continuous recordings of cerebral blood flow velocity [CBFV; bilateral, middle cerebral artery (MCA)], ABP, ECG, and end-tidal Pco(2) (Pet(CO(2))) were performed in 15 right-handed healthy subjects (aged 21-43 yr), in the seated position, at rest and during 10 repeated presentations of a word generation and a constructional puzzle paradigm that are known to induce differential cortical activation. Derived variables included heart rate, cerebrovascular resistance, critical closing pressure, resistance area product, and the difference between the right and left MCA recordings (CBFV(R-L)). No adaptation of the CBFV(R-L) difference was detected for the repeated presentation of 10 activation tasks, for either paradigm. During activation with the word generation tasks, CBFV changed by (mean +/- SD) 9.0 +/- 3.7% (right MCA, P = 0.0007) and by 12.3 +/- 7.6% (left MCA, P = 0.0007), ABP by 7.7 +/- 6.0 mmHg (P = 0.0007), heart rate by 7.1 +/- 5.3 beats/min (P = 0.0008), and Pet(CO(2)) by -2.32 +/- 2.23 Torr (P = 0.002). For the puzzle paradigm, CBFV changed by 13.9 +/- 6.6% (right MCA, P = 0.0007) and by 11.5 +/- 6.2% (left MCA, P = 0.0007), ABP by 7.1 +/- 8.4 mmHg (P = 0.0054), heart rate by 7.9 +/- 4.6 beats/min (P = 0.0008), and Pet(CO(2)) by -2.42 +/- 2.59 Torr (P = 0.001). The word paradigm led to greater left hemispheric dominance than the right hemispheric dominance observed with the puzzle paradigm (P = 0.004). We concluded that significant changes in ABP and Pet(CO(2)) levels occur during brain activation protocols, and these contribute to the evoked change in CBFV. A pressure-autoregulatory response can be observed in addition to the hemodynamic changes induced by increases in metabolic demand. Simultaneous changes in Pco(2) and heart rate add to the complexity of the response, indicating the need for more detailed modeling and better understanding of brain activation paradigms.

A P-element insertion screen identified mutations in 455 novel essential genes in Drosophila.

With the completion of the nucleotide sequences of several complex eukaryotic genomes, tens of thousands of genes have been predicted. However, this information has to be correlated with the functions of those genes to enhance our understanding of biology and to improve human health care. The Drosophila transposon P-element-induced mutations are very useful for directly connecting gene products to their biological function. We designed an efficient transposon P-element-mediated gene disruption procedure and performed genetic screening for single P-element insertion mutations, enabling us to recover 2500 lethal mutations. Among these, 2355 are second chromosome mutations. Sequences flanking >2300 insertions that identify 850 different genes or ESTs (783 genes on the second chromosome and 67 genes on the third chromosome) have been determined. Among these, 455 correspond to genes for which no lethal mutation has yet been reported. The Drosophila genome is thought to contain approximately 3600 vital genes; 1400 are localized on the second chromosome. Our mutation collection represents approximately 56% of the second chromosome vital genes and approximately 24% of the total vital Drosophila genes.