7 resultados para Shipping process with debit
em DigitalCommons@The Texas Medical Center
Resumo:
A general model for the illness-death stochastic process with covariates has been developed for the analysis of survival data. This model incorporates important baseline and time-dependent covariates to make proper adjustment for the transition probabilities and survival probabilities. The follow-up period is subdivided into small intervals and a constant hazard is assumed for each interval. An approximation formula is derived to estimate the transition parameters when the exact transition time is unknown.^ The method developed is illustrated by using data from a study on the prevention of the recurrence of a myocardial infarction and subsequent mortality, the Beta-Blocker Heart Attack Trial (BHAT). This method provides an analytical approach which simultaneously includes provision for both fatal and nonfatal events in the model. According to this analysis, the effectiveness of the treatment can be compared between the Placebo and Propranolol treatment groups with respect to fatal and nonfatal events. ^
Resumo:
Analysis of recurrent events has been widely discussed in medical, health services, insurance, and engineering areas in recent years. This research proposes to use a nonhomogeneous Yule process with the proportional intensity assumption to model the hazard function on recurrent events data and the associated risk factors. This method assumes that repeated events occur for each individual, with given covariates, according to a nonhomogeneous Yule process with intensity function λx(t) = λ 0(t) · exp( x′β). One of the advantages of using a non-homogeneous Yule process for recurrent events is that it assumes that the recurrent rate is proportional to the number of events that occur up to time t. Maximum likelihood estimation is used to provide estimates of the parameters in the model, and a generalized scoring iterative procedure is applied in numerical computation. ^ Model comparisons between the proposed method and other existing recurrent models are addressed by simulation. One example concerning recurrent myocardial infarction events compared between two distinct populations, Mexican-American and Non-Hispanic Whites in the Corpus Christi Heart Project is examined. ^
Resumo:
Background: The follow-up care for women with breast cancer requires an understanding of disease recurrence patterns and the follow-up visit schedule should be determined according to the times when the recurrence are most likely to occur, so that preventive measure can be taken to avoid or minimize the recurrence. Objective: To model breast cancer recurrence through stochastic process with an aim to generate a hazard function for determining a follow-up schedule. Methods: We modeled the process of disease progression as the time transformed Weiner process and the first-hitting-time was used as an approximation of the true failure time. The women's "recurrence-free survival time" or a "not having the recurrence event" is modeled by the time it takes Weiner process to cross a threshold value which represents a woman experiences breast cancer recurrence event. We explored threshold regression model which takes account of covariates that contributed to the prognosis of breast cancer following development of the first-hitting time model. Using real data from SEER-Medicare, we proposed models of follow-up visits schedule on the basis of constant probability of disease recurrence between consecutive visits. Results: We demonstrated that the threshold regression based on first-hitting-time modeling approach can provide useful predictive information about breast cancer recurrence. Our results suggest the surveillance and follow-up schedule can be determined for women based on their prognostic factors such as tumor stage and others. Women with early stage of disease may be seen less frequently for follow-up visits than those women with locally advanced stages. Our results from SEER-Medicare data support the idea of risk-controlled follow-up strategies for groups of women. Conclusion: The methodology we proposed in this study allows one to determine individual follow-up scheduling based on a parametric hazard function that incorporates known prognostic factors.^
Resumo:
Cardiovascular disease (CVD) is this nation's leading source of morbidity and mortality, with health disparities evident. Despite inconsistencies in the literature, there is a growing body of evidence that links anger and CV reactivity (CVR) to future CVD. Because CVD is a life-long process with beginnings in childhood, and because adolescents experience and express anger frequently, the need to understand the role that anger has in future CV profiles is important. If identifiable patterns are found, nursing interventions can be implemented at the most beneficial point in the lifespan. This study examined data collected as part of The Heartfelt Study (N = 374), which investigated anger in relation to 24-hour ambulatory blood pressure (BP) and CVR in a multi-ethnic (African, Hispanic, and European American) sample of adolescents (Time 1). This investigator conducted a follow-up for all The Heartfelt Study participants, 11 to 13 years old at the beginning of study, still in attendance at the middle school (N = 44) one year later (Time 2) to determine: (1) changes in anger over time were associated with changes in ambulatory CV profiles: systolic (SBP), diastolic (DBP), heart rate (HR), and pulse pressure (PP) over time; and (2) the extent to which CVR, initiated by talking about a recent anger-producing event, related to future ambulatory CV profiles. A mixed-effects regression for repeated measures was used to analyze the data and found that SBP reactivity at Time 1 was significantly (β = 0.2341, t = 5.91, p < 0.0001) associated with ambulatory SBP at Time 2 and PP reactivity at Time 1 was significantly (β = 0.1530, t = 5.70, p < 0.0001) associated with ambulatory PP at Time 2. Changes in anger over time were not associated with changes in ambulatory BP measures over time. Further research on anger and CVR among adolescents over longer periods of time is recommended. ^
Resumo:
Filamin is a high molecular weight (2 x 250,000) actin crosslinking protein found in a wide variety of cells and tissues. The most striking feature of filamin is its ability to crosslink F-actin filaments and cause ATP-independent gelation and contraction of F-actin solutions. The gelation of actin filaments by filamin involves binding to actin and crosslinking of the filaments by filamin self-association. In order to understand the role of filamin-actin interactions in the regulation of cytoskeletal assembly, two approaches were used. First, the structural relationship between self-association and actin-binding was examined using proteolytic fragments of filamin. Treatment of filamin with papain generated two major fragments, 90Kd and 180Kd. Upon incubation of the papain digest with F-actin and centrifugation at 100,000 x g, only the 180Kd fragment co-sedimented with F-actin. The binding of the 180Kd fragment, P180, was similar to native filamin in its sensitivity to ionic strength. Analytical gel filtration studies indicated that, unlike native filamin, P180 was monomeric and did not self-associate. Thermolysin treatment of P180 produced a 170Kd fragment, PT170, which no longer bound and co-sedimented with F-actin. These results suggested that filamin contained a discrete actin-binding domain. In order to locate the actin-binding domain, affinity purified antibodies to the papain and thermolysin sensitive regions of filamin were used in conjunction with filamin fragments generated by digestion with S. aureus V8 protease and elastase. The results indicated that the papain and thermolysin cleavage sites were close together, and, most likely, within 10Kd of one another. Taken together, these data suggest that filamin contains a discrete, internal actin-binding domain. The second approach was to use the non-crosslinking fragment P180 to develop a quantitative assay of filamin-actin binding. The binding of ('14)C-carboxyalkylated P180 was examined using the co-sedimentation assay. ('14)C-P180 binding to actin was equivalent to that of unlabelled P180 and exhibited comparable sensitivity of binding to changes in ionic strength. Within 5 min. of incubation the process had reached equilibrium. The specificity of binding was shown by the lack of binding of ('14)C-PT170. The binding of ('14)C-P180 was found to be a reversible and saturable process, with a K(,d) of 2 x 10('-7) M. . . . (Author's abstract exceeds stipulated maximum length. Discontinued here with permission of author.) UMI ^
Resumo:
Radiotherapy has been a method of choice in cancer treatment for a number of years. Mathematical modeling is an important tool in studying the survival behavior of any cell as well as its radiosensitivity. One particular cell under investigation is the normal T-cell, the radiosensitivity of which may be indicative to the patient's tolerance to radiation doses.^ The model derived is a compound branching process with a random initial population of T-cells that is assumed to have compound distribution. T-cells in any generation are assumed to double or die at random lengths of time. This population is assumed to undergo a random number of generations within a period of time. The model is then used to obtain an estimate for the survival probability of T-cells for the data under investigation. This estimate is derived iteratively by applying the likelihood principle. Further assessment of the validity of the model is performed by simulating a number of subjects under this model.^ This study shows that there is a great deal of variation in T-cells survival from one individual to another. These variations can be observed under normal conditions as well as under radiotherapy. The findings are in agreement with a recent study and show that genetic diversity plays a role in determining the survival of T-cells. ^
Resumo:
Cells are exposed to a variety of environmental and physiological changes including temperature, pH and nutrient availability. These changes cause stress to cells, which results in protein misfolding and altered cellular protein homeostasis. How proteins fold into their three-dimensional functional structure is a fundamental biological process with important relevance to human health. Misfolded and aggregated proteins are linked to multiple neurodegenerative diseases, cardiovascular disease and cystic fibrosis. To combat proteotoxic stress, cells deploy an array of molecular chaperones that assist in the repair or removal of misfolded proteins. Hsp70, an evolutionarily conserved molecular chaperone, promotes protein folding and helps maintain them in a functional state. Requisite co-chaperones, including nucleotide exchange factors (NEFs) strictly regulate and serve to recruit Hsp70 to distinct cellular processes or locations. In yeast and human cells, three structurally non-related cytosolic NEFs are present: Sse1 (Hsp110), Fes1 (HspBP1) and Snl1 (Bag-1). Snl1 is unique among the cytosolic NEFs as it is localized at the ER membrane with its Hsp70 binding (BAG) domain exposed to the cytosol. I discovered that Snl1 distinctly interacts with assembled ribosomes and several lines of evidence indicate that this interaction is both independent of and concurrent with binding to Hsp70 and is not dependent on membrane localization. The ribosome-binding site is identified as a short lysine-rich motif within the amino terminus of the Snl1 BAG domain distinct from the Hsp70 interaction region. In addition, I demonstrate ribosome association with the Snl1 homolog in the pathogenic fungus, Candida albicans and localize this putative NEF to a perinuclear/ER membrane, suggesting functional conservation in fungal BAG domain-containing proteins. As a first step in determining specific domain architecture in fungal BAG proteins, I present the preliminary steps of protein purification and analysis of the minimal Hsp70 binding region in in both S.cerevisiae and C. albicans Snl1. Contrary to previous in vitro evidence which showed the Fes1 NEF to interact with both cytosolic Hsp70s, Ssa and Ssb, Fes1 is shown to interact specifically with Ssa when expressed under normal cellular conditions in S. cerevisiae. This is the first reported evidence of Hsp70 binding selectivity for a cytosolic NEF, and suggests a possible mechanism to achieve specificity in Hsp70-dependent functions. Taken together, the work presented in this dissertation highlights the striking divergence among Hsp70 co-chaperones in selecting binding partners, which may correlate with their specific roles in the cell.