Citations

There is interest in the role of growth factors in the genesis of arterial remodeling. We studied local administration of basic fibroblast growth factor (bFGF) to coronary lesions to determine whether there is a difference in remodeling and whether neovascularization could be induced in such stenoses and distal myocardium. Pigs were randomized to balloon infusion of either saline or bFGF at each thermally injured arterial site. After the animals were killed, their internal elastic lamina, neointima, and lumen areas were measured. Capillaries were counted in the arteries and myocardium. There was a greater loss of lumen and internal elastic lamina in the bFGF group. The neointima, media, and myocardium in the bFGF treated arteries had statistically more capillaries. This study showed that local intracoronary bFGF, at a dose that results in arterial luminal revascu larization in injured segments, adversely affects arterial remodeling. Thus, the angio genic response to exogenous bFGF may be offset by concomitant shrinkage of injured arterial segments.

The CREST syndrome (calcinosis, Raynaud's phenomenon, esophageal dysmotility, sclerodactyly, telangiectasia) is a variant but not a benign form of scleroderma. Pulmonary hypertension without pulmonary fibrosis appears to be more prevalent in the CREST than in scleroderma patients. Moreover, pulmonary hypertension in CREST may be rapidly progressive and a cause of sudden death from severe cor pulmonale.

Transcutaneous oxygen tension (TcPO 2 ) was measured according to a standard protocol in 43 limbs from 23 subjects, by use of oxygen-sensing electrodes attached to the chest (at a single site) or dorsum of the foot (at proximal and distal sites, located 1-2 cm apart). With the subjects supine, distal foot TcPO 2 differed from proximal by an average of ±7.4 mmHg, and in 80% of all limbs the differences were between -6 mmHg and + 15 mmHg. The two TcPO 2 's were subsequently combined to yield a single "average" value for each foot. TcPO 2 measurements were repeated twenty-four to forty-eight hours later; in the supine position the change in "average" foot TCPO 2 from the first to second measurement was ±6.9 mmHg, and in 80% of limbs the changes were between -11 mmHg and +9 mmHg. Similar reproducibility data were also obtained for ankle/brachial blood pressure indices (ABIs), chest TcPO 2 , and foot TcPO 2 during three minutes of leg elevation at 30 degrees. The authors conclude that: (1) TcPO 2 measurements from adjacent areas on the dorsum of the foot usually differ by 20-25% or less and (2) the short-term reproducibility of TcPO 2 between studies is comparable to that for ABIS.

This study was undertaken to determine whether carotid intima-media thickness can predict complex aortic atherosclerosis. A retrospective review was conducted of 64 consecutive patients who underwent transesophageal echocardiography and carotid ultrasonography for evaluation of recent ischemic stroke at MCP Hahnemann University, Medical College of Pennsylvania Hospital between January 1, 1999, and December 31, 1999. The mean age was 65 ± 14 years and 59% of the patients were women. Thirty-nine patients (61 %) had carotid atherosclerosis (defined as an intima-media thickness ≥ 1 mm) and seven patients (11%) had complex aortic atherosclerosis (defined as the presence of protruding atheroma ≥4 mm thick, mobile atherosclerotic debris, or plaque ulceration in any aortic segment by transesophageal echocardiography). Compared to patients without complex aortic atherosclerosis, patients with complex aortic atherosclerosis were more likely to have hypercholesterolemia (19% vs 57%, p = 0.05) and a carotid intima-media thickness of 2 mm or greater (35% vs 86%, p = 0.02). A carotid intima-media thickness of 2 mm or more had 86% sensitivity, 65% specificity, 23% positive predictive value, 97% negative predictive value, 2.5 positive likelihood ratio, and 0.22 negative likelihood ratio for the diagnosis of complex aortic atherosclerosis. Carotid intima- media thickness measurement can be used to noninvasively estimate the probability of complex aortic atherosclerosis. A carotid intima-media thickness less than 2 mm makes complex aortic atherosclerosis very unlikely.

Traumatic brain injury (TBI) is a leading cause of disability in young people in the United States. Disorders of arousal and attention are common in closed head injury (CHI). Daytime drowsiness impairs participation in rehabilitation, whereas nighttime wakefulness leads to falls and behavioral disturbances. Sleep disturbances in TBI reported in the literature have included excessive daytime somnolence, sleep phase cycle disturbance, narcolepsy, and sleep apnea. Although well known to the clinician treating these patients, the extent and prevalence of disrupted sleep in patients in an acute inpatient rehabilitation unit has not been described. Objective. To determine the prevalence of sleep wake cycle disturbance (SWCD) in patients with CHI in a TBI rehabilitation unit. Design. Prospective observational. Setting. Inpatient specialized brain injury rehabilitation unit. Patients. Thirty-one consecutive admissions to a brain injury rehabilitation unit with the diagnosis of CHI. Results. Twenty-one patients (68%) had aberrations of nighttime sleep. There was no significant difference in Glasgow Coma Score on admission to trauma nor was there any significant difference in age between the affected and unaffected groups. Patients with SWCD had longer stays in both the trauma center ( P < .003) and the rehabilitation center ( P < .03). Conclusions. There is a high prevalence of SWCD in CHI patients admitted to a brain injury rehabilitation unit. Patients with SWCD have longer stays in both acute and rehabilitation settings and may be a marker for more severe injury.

There is no single optimal set of conditions for cardio pulmonary bypass. What is optimal is determined by patient factors, surgical need, and the mechanics of perfusion. Additionally, the best way to manage bypass typically varies over its course.

Background and Purpose— In stroke and other brain disorders, severely affected phenotypes often impair decision-making capacity. Severity is in part under genomic control. Therefore, scientifically valid research into genetic risk may require inclusion of such impaired individuals. U.S. Federal regulations do not detail rules governing enrollment of adults with impaired decision-making capacity into genetic research. Rather, policy and practice are locally determined. This study was conducted to obtain data on how investigators and IRBs handle surrogate authorization to enroll probands into a genetic study where some may lack capacity because of ischemic stroke. Methods— Sequential surveys of sites from an ongoing North American study investigating genetic risks for ischemic stroke (2003: 49 sites, response rate=100%; 2007: 53 sites; response rate=91%) assessed whether and how investigators enroll adults with impaired decision-making capacity and determined frequency of IRB approval for enrollment by surrogate authorization. Results— Approximately 40% of sites report that their IRBs do not approve surrogate authorization to enroll stroke patients—43% (21/49) in 2003 and 35% (17/48) in 2007. Thirty-three percent of sites report evaluating eligible adults who lacked capacity to provide their own informed consent; 18% (9/49) in 2003 and 15% (7/48) in 2007 have enrolled these individuals. Surrogate enrollment is the most common method used. Most sites have not enrolled any individual lacking capacity to give his or her own consent. Conclusions— Our study suggests that enrollment by surrogate authorization into stroke genetic research is often not approved by IRBs, and even when allowed is frequently not used. For disorders like stroke, this situation has significant implications for scientific validity.

AbstractMotivation: A central problem in biomarker discovery from large-scale gene expression or single nucleotide polymorphism (SNP) data is the computational challenge of taking into account the dependence among all the features. Methods that ignore the dependence usually identify non-reproducible biomarkers across independent datasets. We introduce a new graph-based semi-supervised feature classification algorithm to identify discriminative disease markers by learning on bipartite graphs. Our algorithm directly classifies the feature nodes in a bipartite graph as positive, negative or neutral with network propagation to capture the dependence among both samples and features (clinical and genetic variables) by exploring bi-cluster structures in a graph. Two features of our algorithm are: (1) our algorithm can find a global optimal labeling to capture the dependence among all the features and thus, generates highly reproducible results across independent microarray or other high-thoughput datasets, (2) our algorithm is capable of handling hundreds of thousands of features and thus, is particularly useful for biomarker identification from high-throughput gene expression and SNP data. In addition, although designed for classifying features, our algorithm can also simultaneously classify test samples for disease prognosis/diagnosis.Results: We applied the network propagation algorithm to study three large-scale breast cancer datasets. Our algorithm achieved competitive classification performance compared with SVMs and other baseline methods, and identified several markers with clinical or biological relevance with the disease. More importantly, our algorithm also identified highly reproducible marker genes and enriched functions from the independent datasets.Availability: Supplementary results and source code are available at http://compbio.cs.umn.edu/Feature_Class.Contact: kuang@cs.umn.eduSupplementary information: Supplementary data are available at Bioinformatics online.

Abstract Rationale An association between neurocognitive deficits and pediatric sleep-disordered breathing has been suggested; however, weak correlations between disease severity and functional outcomes underscore the lack of knowledge regarding factors modulating cognitive morbidity of sleep-disordered breathing. Objectives To identify the parameters affected by sleep-disordered breathing that modulate cerebral oxygenation, an important determinant of cognition. A further objective was to use these parameters with demographic data to develop a predictive statistical model of pediatric cerebral oxygenation. Methods Ninety-two children (14 control subjects, 32 with primary snoring, and 46 with obstructive sleep apnea) underwent polysomnography with continuous monitoring of cerebral oxygenation and blood pressure. Analysis of covariance was used to relate the blood pressure, sleep diagnostic parameters, and demographic characteristics to regional cerebral oxygenation. Measurements and Main Results To account for anatomic variability, an index of cerebral oxygenation during sleep was derived by referencing the measurement obtained during sleep to that obtained during wakefulness. In a repeated measures model predicting the index of cerebral oxygenation, mean arterial pressure, rapid eye movement (REM) sleep, female sex, age, and oxygen saturation had a positive effect on cerebral oxygenation levels, whereas arousal index and non-REM (NREM) sleep had a negative effect. Conclusions Increasing mean arterial pressure, age, oxygen saturation, and REM sleep augment cerebral oxygenation, while sleep-disordered breathing, male sex, arousal index, and NREM sleep diminish it. The proposed model may explain the sources of variability in cognitive function of children with sleep-disordered breathing.