Nikolajsenkilic4184
Subset analysis for fiscal year 2014 demonstrated significantly increased supply cost for robotic sleeve gastrectomy compared with its laparoscopic equivalent.
Robotic-assisted sleeve gastrectomy can be instituted as a model for resident robotic education with rates of morbidity and operative times equivalent to historical laparoscopic controls. The robot's enhanced ergonomics and its opportunity for resident education must be weighed against its increased supply cost.
Robotic-assisted sleeve gastrectomy can be instituted as a model for resident robotic education with rates of morbidity and operative times equivalent to historical laparoscopic controls. The robot's enhanced ergonomics and its opportunity for resident education must be weighed against its increased supply cost.
There is increasing interest in profiling the quality of individual medical providers. Valid assessment of individuals should highlight improvement opportunities, but must be considered in the context of limitations.
High quality clinical data from the American College of Surgeons NSQIP, gathered in accordance with strict policies and specifications, was used to construct individual surgeon-level assessments. There were 39,976 cases evaluated, performed by 197 surgeons across 9 hospitals. Both 2-level (cases by surgeon) and 3-level (cases by surgeon by hospital) risk-adjusted, hierarchical regression analyses were performed. Outcomes were 30-day postoperative morbidity, surgical site infection, and mortality. Surgeon performance was compared in both absolute and relative terms. "Signal-to-noise" reliability was calculated for surgeons and models. Projected case requirements for reliability levels were generated.
Surgeon performances could be distinguished to different degrees morbidity distinguished besh moderate or good reliability, but to different degrees in different models. Absolute and relative comparisons are feasible. Incorporating institutional level effects in individual provider modeling presents an interesting policy dilemma, appearing to benefit providers at "poor-performing" institutions, but penalizing those at "high-performing" ones. No portrayal of individual medical provider quality should be accepted without consideration of modeling rationale and, critically, reliability.
Three-dimensional (3D) speckle-tracking echocardiography (STE) for myocardial strain imaging may be superior to two-dimensional STE, especially with respect to rotational mechanics. Automated strain measurements from nonstitched 3D STE may improve work flow and clinical utility. The aim of this study was to test the feasibility of model-based 3D STE for the automated measurement of voxel circumferential strain (Ecc) and myocardial rotation.
Thirty-five individuals (12 healthy volunteers, 12 patients with dilated cardiomyopathy, and 11 patients with hypertensive left ventricular [LV] hypertrophy) were prospectively studied. The latter two groups did not have significant coronary artery disease on coronary arteriography. Tagged cardiovascular magnetic resonance (CMR) and feature-tracking CMR were used as reference standards. Regional (apex and mid left ventricle) and slice (within a region) Ecc and rotation were measured by real-time volume transthoracic echocardiography (nonstitched) using an automated alghe data from this study show that automated measurements of voxel rotational mechanics by real-time volume transthoracic echocardiography is feasible and comparable with tagged CMR and feature-tracking CMR strain measurements, albeit with wide limits of agreement, emphasizing the differences between the modalities. Furthermore, this automated 3D speckle-tracking echocardiographic approach shows excellent reproducibility, including test-retest variability, comparable with that of the CMR methods.
The data from this study show that automated measurements of voxel rotational mechanics by real-time volume transthoracic echocardiography is feasible and comparable with tagged CMR and feature-tracking CMR strain measurements, albeit with wide limits of agreement, emphasizing the differences between the modalities. Furthermore, this automated 3D speckle-tracking echocardiographic approach shows excellent reproducibility, including test-retest variability, comparable with that of the CMR methods.Understanding plant's defense mechanisms and their response to biotic stresses is of fundamental meaning for the development of resistant crop varieties and more productive agriculture. The Brassica genus involves a large variety of economically important species and cultivars used as vegetable source, oilseeds, forage and ornamental. Damage caused by pathogens attack affects negatively various aspects of plant growth, development, and crop productivity. Over the last few decades, advances in plant physiology, genetics, and molecular biology have greatly improved our understanding of plant responses to biotic stress conditions. In this regard, various 'omics' technologies enable qualitative and quantitative monitoring of the abundance of various biological molecules in a high-throughput manner, and thus allow determination of their variation between different biological states on a genomic scale. In this review, we have described advances in 'omic' tools (genomics, transcriptomics, proteomics and metabolomics) in the view of conventional and modern approaches being used to elucidate the molecular mechanisms that underlie Brassica disease resistance.
Metabolic syndrome (MetS) has been associated with higher resistance to clot lysis at 24 hours after tissue plasminogen activator (tPA) administration in patients with acute ischemic stroke. We aimed to test this hypothesis at earlier time points, when neurointerventional rescue procedures may still be indicated to achieve arterial recanalization.
This is a prospective and observational study in consecutive stroke patients with MCA occlusion treated with IV tPA. MetS was diagnosed following the unified criteria of the last Joint Interim Statement 2009 participating several major organizations. The primary outcome variable was resistance to thrombolysis, defined as the absence of complete middle cerebral artery recanalization 2 hours after tPA bolus assessed by transcranial color-coded duplex or when rescue mechanical thrombectomy after IV tPA was required. selleck chemicals Secondary outcome variables were dramatic neurological improvement (decrease in ≥10 points, or a National Institutes of Health Stroke Scale [NIHSS] scoatients with middle cerebral artery occlusion refractory to early clot dissolution after IV tPA. This finding may help in acute clinical decision-making.
Little is known about the association between the cortical microinfarcts (CMIs) and intracranial atherosclerosis (ICAS) in Chinese patients with ischemic stroke. This study was designed to analyze the association and evaluate the role of CMIs in clinical outcomes.
We evaluated 1421 consecutive patients who had experienced an acute cerebral ischemia within 7 days after symptom onset and evaluated the presence of CMIs and ICAS based on patients' 3.0-T magnetic resonance imaging and magnetic resonance angiography scans. Baseline characteristics, patient risk factors, and clinical outcomes were analyzed to investigate the different outcomes between the CMIs (n = 209) group and non-CMIs (n = 1212) group.
CMIs were present in 14.7% persons. The following parameters were associated with risk of CMIs advanced age, National Institutes of Health Stroke Scale score on admission, lower level of systemic blood pressure, lower triglycerides level, ICAS, and cerebral microbleeds (CMBs). On multivariate logistic regression analysis, ICAS remained an independent risk factor for the development of CMIs (adjusted odds ratio, 1.493; 95% confidence interval, 1.022-2.182; P = .038). At the time point of 1 year after stroke, the rates of poor outcome (modified Rankin Scale, 3-6) in CMIs group (33.5%) were statistically significantly different from the non-CMIs group (22.6%; P = .001). In addition, patients in CMIs group had a significantly higher stroke recurrence rate than patients in the non-CMIs group (6.7% versus 4%; P = .085).
The development of CMIs is strongly associated with ICAS. CMIs are independent predictors of poor prognosis in patients with ischemic stroke.
The development of CMIs is strongly associated with ICAS. CMIs are independent predictors of poor prognosis in patients with ischemic stroke.
The recognition, assessment and management of pain in hospital settings is suboptimal, and is a particular challenge in patients with dementia. The existing process guiding pain assessment and management in clinical settings is based on the assumption that nurses follow a sequential linear approach to decision making. In this paper we re-evaluate this theoretical assumption drawing on findings from a study of pain recognition, assessment and management in patients with dementia.
To provide a revised conceptual model of pain recognition, assessment and management based on sense-making theories of decision making.
The research we refer to is an exploratory ethnographic study using nested case sites. Patients with dementia (n=31) were the unit of data collection, nested in 11 wards (vascular, continuing care, stroke rehabilitation, orthopaedic, acute medicine, care of the elderly, elective and emergency surgery), located in four NHS hospital organizations in the UK. Data consisted of observations of patiens acknowledging that decisions are constructed through social interaction and organizational context. The model will be used in further research to develop decision support interventions to assist with the assessment and management of patients with dementia in acute hospital settings.
We propose a revised theoretical model of decision making related to pain assessment and management for patients with dementia based on theories of sense-making, which is reflective of the reality of clinical decision making in acute hospital wards. The revised model recognizes the salience of individual cognition as well as acknowledging that decisions are constructed through social interaction and organizational context. The model will be used in further research to develop decision support interventions to assist with the assessment and management of patients with dementia in acute hospital settings.
Previous studies have demonstrated poor health of care workers in nursing homes. Yet, little is known about the prevalence of physical and mental health outcomes, and their associations with the psychosocial work environment in nursing homes.
(1) To explore the prevalence of physical and mental health outcomes of care workers in Swiss nursing homes, (2) their association with psychosocial work environment.
This is a secondary data analysis of the cross-sectional Swiss Nursing Home Human Resources Project (SHURP). We used survey data on socio-demographic characteristics and work environment factors from care workers (N=3471) working in Swiss nursing homes (N=155), collected between May 2012 and April 2013. GEE logistic regression models were used to estimate the relationship between psychosocial work environment and physical and mental health outcomes, taking into account care workers' age.
Back pain (19.0%) and emotional exhaustion (24.2%) were the most frequent self-reported physical and mental health.
