14 resultados para Traditional clustering

em DigitalCommons@The Texas Medical Center


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An integrated approach for multi-spectral segmentation of MR images is presented. This method is based on the fuzzy c-means (FCM) and includes bias field correction and contextual constraints over spatial intensity distribution and accounts for the non-spherical cluster's shape in the feature space. The bias field is modeled as a linear combination of smooth polynomial basis functions for fast computation in the clustering iterations. Regularization terms for the neighborhood continuity of intensity are added into the FCM cost functions. To reduce the computational complexity, the contextual regularizations are separated from the clustering iterations. Since the feature space is not isotropic, distance measure adopted in Gustafson-Kessel (G-K) algorithm is used instead of the Euclidean distance, to account for the non-spherical shape of the clusters in the feature space. These algorithms are quantitatively evaluated on MR brain images using the similarity measures.

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In numerous intervention studies and education field trials, random assignment to treatment occurs in clusters rather than at the level of observation. This departure of random assignment of units may be due to logistics, political feasibility, or ecological validity. Data within the same cluster or grouping are often correlated. Application of traditional regression techniques, which assume independence between observations, to clustered data produce consistent parameter estimates. However such estimators are often inefficient as compared to methods which incorporate the clustered nature of the data into the estimation procedure (Neuhaus 1993).1 Multilevel models, also known as random effects or random components models, can be used to account for the clustering of data by estimating higher level, or group, as well as lower level, or individual variation. Designing a study, in which the unit of observation is nested within higher level groupings, requires the determination of sample sizes at each level. This study investigates the design and analysis of various sampling strategies for a 3-level repeated measures design on the parameter estimates when the outcome variable of interest follows a Poisson distribution. ^ Results study suggest that second order PQL estimation produces the least biased estimates in the 3-level multilevel Poisson model followed by first order PQL and then second and first order MQL. The MQL estimates of both fixed and random parameters are generally satisfactory when the level 2 and level 3 variation is less than 0.10. However, as the higher level error variance increases, the MQL estimates become increasingly biased. If convergence of the estimation algorithm is not obtained by PQL procedure and higher level error variance is large, the estimates may be significantly biased. In this case bias correction techniques such as bootstrapping should be considered as an alternative procedure. For larger sample sizes, those structures with 20 or more units sampled at levels with normally distributed random errors produced more stable estimates with less sampling variance than structures with an increased number of level 1 units. For small sample sizes, sampling fewer units at the level with Poisson variation produces less sampling variation, however this criterion is no longer important when sample sizes are large. ^ 1Neuhaus J (1993). “Estimation efficiency and Tests of Covariate Effects with Clustered Binary Data”. Biometrics , 49, 989–996^

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Currently there is no general method to study the impact of population admixture within families on the assumptions of random mating and consequently, Hardy-Weinberg equilibrium (HWE) and linkage equilibrium (LE) and on the inference obtained from traditional linkage analysis. ^ First, through simulation, the effect of admixture of two populations on the log of the odds (LOD) score was assessed, using Prostate Cancer as the typical disease model. Comparisons between simulated mixed and homogeneous families were performed. LOD scores under both models of admixture (within families and within a data set of homogeneous families) were closest to the homogeneous family scores of the population having the highest mixing proportion. Random sampling of families or ascertainment of families with disease affection status did not affect this observation, nor did the mode of inheritance (dominant/recessive) or sample size. ^ Second, after establishing the effect of admixture on the LOD score and inference for linkage, the presence of induced disequilibria by population admixture within families was studied and an adjustment procedure was developed. The adjustment did not force all disequilibria to disappear but because the families were adjusted for the population admixture, those replicates where the disequilibria exist are no longer affected by the disequilibria in terms of maximization for linkage. Furthermore, the adjustment was able to exclude uninformative families or families that had such a high departure from HWE and/or LE that their LOD scores were not reliable. ^ Together these observations imply that the presence of families of mixed population ancestry impacts linkage analysis in terms of the LOD score and the estimate of the recombination fraction. ^

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Hierarchically clustered populations are often encountered in public health research, but the traditional methods used in analyzing this type of data are not always adequate. In the case of survival time data, more appropriate methods have only begun to surface in the last couple of decades. Such methods include multilevel statistical techniques which, although more complicated to implement than traditional methods, are more appropriate. ^ One population that is known to exhibit a hierarchical structure is that of patients who utilize the health care system of the Department of Veterans Affairs where patients are grouped not only by hospital, but also by geographic network (VISN). This project analyzes survival time data sets housed at the Houston Veterans Affairs Medical Center Research Department using two different Cox Proportional Hazards regression models, a traditional model and a multilevel model. VISNs that exhibit significantly higher or lower survival rates than the rest are identified separately for each model. ^ In this particular case, although there are differences in the results of the two models, it is not enough to warrant using the more complex multilevel technique. This is shown by the small estimates of variance associated with levels two and three in the multilevel Cox analysis. Much of the differences that are exhibited in identification of VISNs with high or low survival rates is attributable to computer hardware difficulties rather than to any significant improvements in the model. ^

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The purpose of this study, based on secondary data from attendees at a substance abuse clinic for the Kickapoo Healing Grounds in Eagle Pass, Texas, is two fold: (1) to elucidate neuro-behavioral performance of volatile substance abusers in the Kickapoo tribe and (2) to determine factors associated with their treatment completion and rehabilitation as measured by their employment at follow-up. Volatile substance abuse (VSA) is associated with a host of neurological manifestations, and secondary prevention or clinical treatment and rehabilitation remains the mainstay of control efforts. Very little is known about VSA in general, and especially among Native American populations. It is anticipated that the results will help determine and assist other tribes and non-tribal substance abuse centers with treatment planning for volatile substance abusers among Native American populations. ^

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Lipid rafts are small laterally mobile cell membrane structures that are highly enriched in lymphocyte signaling molecules. Lipid rafts can form from the assembly of specialized lipids and proteins through hydrophobic associations from saturated acyl chains. GM1 gangliosides are a common lipid raft component and have been shown to be essential in many T cell functions. Current lipid raft theory hypothesizes that certain aspects of T cell signaling can be initiated from the coalescence of these signaling-enriched lipid rafts to sites of receptor engagement. We have described how the specific aggregation of GM1 lipid rafts can cause a reorganization of cell surface molecular associations which include dynamic associations of β1 integrins with GM1 lipid rafts. These associations had pronounced effects on T cell adhesive and migratory states. We show that GM1 lipid raft aggregation can dramatically inhibit T cell migration and chemotaxis on the extracellular matrix constituent fibronectin. This inhibition of migration function was shown to be dependent on the src kinase Lck and PKC-regulated F-actin polymerization to extending pseudopods. Furthermore, GM1 lipid raft clustering could activate T cell adhesion-strengthening mechanisms. These include an increase in cellular rigidity, the creation of polymerized cortical F-actin structures, the induction of high affinity integrin states, an increase in surface area and symmetry of the contact plane, and resistance to shear flow detachment while adherent to fibronectin. This indicates that GM1 lipid raft aggregation defines a novel stimulus to regulate lymphocyte motility and cellular adhesion which could have important implications in T cell homing mechanisms. ^

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Cardiovascular disease (CVD) is the single greatest cause of death in the United States, accounting for nearly 2400 deaths each day. It is estimated that 79.4 million American adults have some form of the disease, and CVD mortality rates are greater than those of cancer, chronic lower respiratory diseases, accidents and diabetes mellitus combined. Psychosocial stress is a nontraditional risk factor for CVD, and can contribute to the clustering of traditional risk factors as well as to vascular manifestations of the disease. The Transcendental Meditation (TM) technique has been researched as a cost effective intervention aimed at decreasing psychosocial stress. This literature review attempts to analyze randomized controlled clinical trials of TM on cardiovascular disease outcomes. Eleven studies met inclusion criteria and are described below, with statistically significant positive outcomes observed in each study. Studies are grouped by primary outcome reported in the categories of cardiovascular function, blood pressure, and exercise tolerance. The TM intervention significantly decreased insulin resistance, heart rate variability, and carotid intima media thickness and improved exercise tolerance compared to control groups. Seven studies also reported significant decreases in blood pressure among hypertensive and normotensive subjects. Five studies focused solely on African American subjects, a population that has disproportionately higher rates of CVD and hypertension, and found significant improvements in CVD outcomes. Further research is recommended to establish the efficacy of TM on CVD outcomes. Future trials should include larger sample populations, wider ethnic distributions of subjects, and longer follow-up to ascertain the impact of this particular stress reduction technique on cardiovascular disease.^

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Approximately 200,000 African children are born with sickle-cell anemia each year. Research has shown that individuals with hemoglobin disorders, particularly sickle-cell anemia, have increased susceptibility to contracting malaria. Currently it is recommended that patients diagnosed with sickle-cell anemia undergo malaria chemoprophylaxis in order to decrease their chances of malarial infection. However, studies have shown that routine administration of these drugs increases the risk of drug resistance and could possibly impair the development of naturally acquired immunity. Clinical trials have shown intermittent preventive treatment (IPT) to be an effective method of protection against malaria. The objective of this report was to review previously conducted clinical trials that study the effects of intermittent preventive treatment on malaria and anemia in infants and children. Based on the review, implications for its appropriateness as a protective measure against malaria for infants and children diagnosed with sickle-cell disease were provided.^ The 18 studies reviewed were randomized controlled trials that focused on IPT’s effect on malaria (7 studies), anemia (1 study), or both (8 studies). In addition to these 16, one study looks at IPT’s effect on molecular resistance to malaria, and another study is a follow-up to a study in order to review IPT’s potential to cause a rebound effect. The 18 th study in this review specifically looks at IPT’s protective efficacy in children with SCA. The studies in this report were restricted to randomized controlled trials that have been performed from 2000 to 2010. Reports on anemia were included to illustrate possible added benefits of the use of IPT specific to burdens associated with SCA other than malaria susceptibility. The outcomes of these studies address several issues of concern involving the administration of IPT: protective efficacy (in reference to age, seasonal versus perennial malaria regions, and overall effectiveness against malaria and anemia), drug resistance, drug rebound effect, drug side-effects, and long-term effects. Overall, these showed that IPT has a significant level of protective efficacy against malaria and/or anemia in children. More specifically, the IPT study evaluating children diagnosed with sickle-cell anemia proved IPT to be a more effective method of protection than traditional chemoprophylaxis. ^

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Background. Nosocomial infections are a source of concern for many hospitals in the United States and worldwide. These infections are associated with increased morbidity, mortality and hospital costs. Nosocomial infections occur in ICUs at a rate which is five times greater than those in general wards. Understanding the reasons for the higher rates can ultimately help reduce these infections. The literature has been weak in documenting a direct relationship between nosocomial infections and non-traditional risk factors, such as unit staffing or patient acuity.^ Objective. To examine the relationship, if any, between nosocomial infections and non-traditional risk factors. The potential non-traditional risk factors we studied were the patient acuity (which comprised of the mortality and illness rating of the patient), patient days for patients hospitalized in the ICU, and the patient to nurse ratio.^ Method. We conducted a secondary data analysis on patients hospitalized in the Medical Intensive Care Unit (MICU) of the Memorial Hermann- Texas Medical Center in Houston during the months of March 2008- May 2009. The average monthly values for the patient acuity (mortality and illness Diagnostic Related Group (DRG) scores), patient days for patients hospitalized in the ICU and average patient to nurse ratio were calculated during this time period. Active surveillance of Bloodstream Infections (BSIs), Urinary Tract Infections (UTIs) and Ventilator Associated Pneumonias (VAPs) was performed by Infection Control practitioners, who visited the MICU and performed a personal infection record for each patient. Spearman's rank correlation was performed to determine the relationship between these nosocomial infections and the non-traditional risk factors.^ Results. We found weak negative correlations between BSIs and two measures (illness and mortality DRG). We also found a weak negative correlation between UTI and unit staffing (patient to nurse ratio). The strongest positive correlation was found between illness DRG and mortality DRG, validating our methodology.^ Conclusion. From this analysis, we were able to infer that non-traditional risk factors do not appear to play a significant role in transmission of infection in the units we evaluated.^

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Metabolic Syndrome (MetS) is a clustering of cardiovascular (CV) risk factors that includes obesity, dyslipidemia, hyperglycemia, and elevated blood pressure. Applying the criteria for MetS can serve as a clinically feasible tool for identifying patients at high risk for CV morbidity and mortality, particularly those who do not fall into traditional risk categories. The objective of this study was to examine the association between MetS and CV mortality among 10,940 American hypertensive adults, ages 30-69 years, participating in a large randomized controlled trial of hypertension treatment (HDFP 1973-1983). MetS was defined as the presence of hypertension and at least two of the following risk factors: obesity, dyslipidemia, or hyperglycemia. Of the 10,763 individuals with sufficient data available for analysis, 33.2% met criteria for MetS at baseline. The baseline prevalence of MetS was significantly higher among women (46%) than men (22%) and among non-blacks (37%) versus blacks (30%). All-cause and CV mortality was assessed for 10,763 individuals. Over a median follow-up of 7.8 years, 1,425 deaths were observed. Approximately 53% of these deaths were attributed to CV causes. Compared to individuals without MetS at baseline, those with MetS had higher rates of all-cause mortality (14.5% v. 12.6%) and CV mortality (8.2% versus 6.4%). The unadjusted risk of CV mortality among those with MetS was 1.31 (95% confidence interval [CI], 1.12-1.52) times that for those without MetS at baseline. After multiple adjustment for traditional risk factors of age, race, gender, history of cardiovascular disease (CVD), and smoking status, individuals with MetS, compared to those without MetS, were 1.42 (95% CI, 1.20-1.67) times more likely to die of CV causes. Of the individual components of MetS, hyperglycemia/diabetes conferred the strongest risk of CV mortality (OR 1.73; 95% CI, 1.39-2.15). Results of the present study suggest MetS defined as the presence of hypertension and 2 additional cardiometabolic risk factors (obesity, dyslipidemia, or hyperglycemia/diabetes) can be used with some success to predict CV mortality in middle-aged hypertensive adults. Ongoing and future prospective studies are vital to examine the association between MetS and cardiovascular morbidity and mortality in select high-risk subpopulations, and to continue evaluating the public health impact of aggressive, targeted screening, prevention, and treatment efforts to prevent future cardiovascular disability and death.^

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The purpose of this study was to determine the impact of traditional psychiatric services with case management services on the functioning of people with schizophrenia. Traditional services were defined as routine clinic services consisting of medication follow-along, psychotherapy, and support services. Case management consisted of activities involved in linking, planning, and monitoring services for the outpatient client who has schizophrenia. The target population was adult schizophrenics who had been receiving outpatient clinic services for a minimum of six months. Structured interviews were conducted using standardized scales (e.g., Quality of Life, Self-Efficacy, and Brief Symptom Inventory) with 78 outpatient client volunteers from two sites: Nova Scotia (Canada) and Texas (USA). The researcher tested for differences in psychiatric symptomatology, recidivism, and quality of life for persons with schizophrenia receiving traditional psychiatric services in Nova Scotia and traditional plus case management services in Texas. Data were collected from the structured interviews and medical records review forms. Types of services were blocked into low and high levels of Intensity (frequency x minutes) and compared to determine the relative contribution of each. Finally, the role of clients' self-efficacy was tested as an intervening variable. Although the findings did not support the hypotheses in the direction anticipated, there were some interesting and useful results. From the Nova Scotia site, clients who received low levels of services were hospitalized less compared to the Texas site. The more psychotic a patient was the higher their involvement in medication follow-along and the more monitoring they received. The more psychotherapy received, the lower the reported satisfaction with social relationships. Of particular interest is the role that self-efficacy played in improved client outcomes. Although self-efficacy scores were related to improved functioning, the mechanism for this still needs to be clarified through subsequent research. ^

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One of the major challenges in treating mental illness in Nigeria is that the health care facilities and mental health care professionals are not enough in number or well equipped to handle the burden of mental illness. There are several barriers to treatment for individual Nigerians which include the following: such as the lack of understanding of the root causes of mental illness, lack of financial support to get mental treatment, lack of social support (family, friends, neighbors), the fear of stigmatization concerning being labeled as mentally ill or being in association with the mentally ill, and the consultation of traditional native healers who may be unknowingly prolonging illness, rather than addressing and treating them due to lack of formal education and standardization of their treatments. Another barrier is the non-health nature of the mental health services in Nigeria. Traditional healers are essentially the mental health system. The elderly, women, and children are the most vulnerable groups in times of strife and hardships. Their mental well-being must be taken into account as well as their special needs in times of personal or societal crisis. ^ Nigerian mental health policy is geared toward forming a mental health system, but in actuality only a mental illness care system is the observed result of the policy. The government of Nigeria has drafted a mental health policy, yet its actual implementation into the Nigerian health infrastructure and society waits to be materialized. The limited health legislation or policy implementations tend to favor those who have access to these urban areas and the facilities' health services. Nigerians living in rural areas are at a disadvantage; many of them may not even be aware of services available to help them understand and treat mental illness. Perhaps, government driven health interventions geared toward mental illness in rural areas would reach an underserved Nigerians and Africans in general. Issues with political instability and limited infrastructure often hinder crucial financial resources and legislation from reaching the people that are truly in need of governmental leadership in regards to mental health policy.^ Traditional healers are a severely untapped resource in the treatment of mental illness within the Nigerian population. They are abundant within Nigerian communities and are meeting a real need for the mentally ill. However, much can be done to remove the barriers that prevent the integration of traditional healers within the mental health system and improve the quality of care they administer within the population. Mental illness is almost exclusively coped with through traditional medicine practices. Mobilization and education from each strata of Nigerian society and government as well as input from the medical community can improve how traditional medicine is utilized as a treatment for clinical illness and help alleviate the heavy burden of mental illness in Nigeria. Currently, there is no existing policy making structure for a working mental health system in Nigeria, and traditional healers are not taken into account in any formulation of mental health policy. Advocacy for mental illness is severely inadequate due to fear of stigmatization, with no formally recognized national of regional mental health association.^

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The small leucine-rich repeat proteoglycans (or SLRPs) are a group of extracellular proteins (ECM) that belong to the leucine-rich repeat (LRR) superfamily of proteins. The LRR is a protein folding motif composed of 20–30 amino acids with leucines in conserved positions. LRR-containing proteins are present in a broad spectrum of organisms and possess diverse cellular functions and localization. In mammals, the SLRPs are abundant in connective tissues, such as bones, cartilage, tendons, skin, and blood vessels. We have discovered a new member of the class I small leucine rich repeat proteoglycan (SLRP) family which is distinct from the other class I SLRPs since it possesses a unique stretch of aspartate residues at its N-terminus. For this reason, we called the molecule asporin. The deduced amino acid sequence is about 50% identical (and 70% similar) to decorin and biglycan. However, asporin does not contain a serine/glycine dipeptide sequence required for the assembly of O-linked glycosaminoglycans and is probably not a proteoglycan. The tissue expression of asporin partially overlaps with the expression of decorin and biglycan. During mouse embryonic development, asporin mRNA expression was detected primarily in the skeleton and other specialized connective tissues; very little asporin message was detected in the major parenchymal organs. The mouse asporin gene structure is similar to that of biglycan and decorin with 8 exons. The asporin gene is localized to human chromosome 9q22-9g21.3 where asporin is part of a SLRP gene cluster that includes ECM2, osteoadherin, and osteoglycin. This gene cluster of four LRR-encoding genes is embedded in a 238 kilobase intron of another novel gene named Tes9orf that is expressed primarily in the testes of the adult mouse. The SLRP genes are not present in Drosophila or C. elegans , but reside in three separate gene clusters in the puffer fish, mice and humans. Targeted disruption of individual mouse SLRP genes display minor connective tissue defects such as skin fragility, tendon laxity, minor growth plate defects, and mild osteoporosis. However, double and triple knockouts of SLRP genes exacerbate these phenotypes. Both the double epiphycan/biglycan and the triple PRELP/fibromodulin/biglycan knockout mice exhibit premature osteoarthritis. ^