3 resultados para Extreme bounds analysis

em DigitalCommons@The Texas Medical Center


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BACKGROUND: Decisions regarding whether to administer intensive care to extremely premature infants are often based on gestational age alone. However, other factors also affect the prognosis for these patients. METHODS: We prospectively studied a cohort of 4446 infants born at 22 to 25 weeks' gestation (determined on the basis of the best obstetrical estimate) in the Neonatal Research Network of the National Institute of Child Health and Human Development to relate risk factors assessable at or before birth to the likelihood of survival, survival without profound neurodevelopmental impairment, and survival without neurodevelopmental impairment at a corrected age of 18 to 22 months. RESULTS: Among study infants, 3702 (83%) received intensive care in the form of mechanical ventilation. Among the 4192 study infants (94%) for whom outcomes were determined at 18 to 22 months, 49% died, 61% died or had profound impairment, and 73% died or had impairment. In multivariable analyses of infants who received intensive care, exposure to antenatal corticosteroids, female sex, singleton birth, and higher birth weight (per each 100-g increment) were each associated with reductions in the risk of death and the risk of death or profound or any neurodevelopmental impairment; these reductions were similar to those associated with a 1-week increase in gestational age. At the same estimated likelihood of a favorable outcome, girls were less likely than boys to receive intensive care. The outcomes for infants who underwent ventilation were better predicted with the use of the above factors than with use of gestational age alone. CONCLUSIONS: The likelihood of a favorable outcome with intensive care can be better estimated by consideration of four factors in addition to gestational age: sex, exposure or nonexposure to antenatal corticosteroids, whether single or multiple birth, and birth weight. (ClinicalTrials.gov numbers, NCT00063063 [ClinicalTrials.gov] and NCT00009633 [ClinicalTrials.gov].).

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Tumor necrosis factor (TNF) is known to have antiproliferative effects on a wide variety of tumor cells but proliferative effects on normal cells. However, the molecular basis for such differences in the action of TNF are unknown. The overall objectives of my research are to investigate the role of oncogenes in TNF sensitivity and delineate some of the molecular mechanisms involved in TNF sensitivity and resistance. To accomplish these objectives, I transfected TNF-resistant C3H mouse embryo fibroblasts (10T1/2) with an activated Ha-ras oncogene and determined whether these cells exhibit altered sensitivity to TNF. The results indicated that 10T1/2 cells transfected with an activated Ha-ras oncogene (10T-EJ) not only produced tumors in nude mice but also exhibited extreme sensitivity to cytolysis by TNF. In contrast, 10T1/2 cells transfected with the pSV2-neo gene alone were resistant to the cytotoxic effects of TNF. I also found that TNF-induced cell death was mediated through apoptosis. The differential sensitivity of 10T1/2 and 10T-EJ cell lines to TNF was not due to differences in the number of TNF receptors on their cell surface. In addition, TNF-resistant revertants isolated from Ha-ras-transformed, TNF-sensitive cells still expressed the same amount of p21 as TNF-sensitive cells and were still tumorigenic, suggesting that Ha-ras-induced transformation and TNF sensitivity may follow different pathways. Interestingly, TNF-resistant but not sensitive cells expressed higher levels of bcl-2, c-myc, and manganese superoxide dismutase (MnSOD) mRNA following exposure to TNF. However, TNF treatment resulted in a marginal induction of p53 mRNA in both TNF-sensitive and resistant cells. Based on these results I can conclude that (i) Ha-ras oncogene induces both transformation and TNF sensitivity, (ii) TNF-induced cytotoxicity involves apoptosis, and (iii) TNF-induced upregulation of bcl-2, c-myc, and MnSOD genes is associated with TNF resistance in C3H mouse embryo fibroblasts. ^

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Floods are the leading cause of fatalities related to natural disasters in Texas. Texas leads the nation in flash flood fatalities. From 1959 through 2009 there were three times more fatalities in Texas (840) than the following state Pennsylvania (265). Texas also leads the nation in flood-related injuries (7753). Flood fatalities in Texas represent a serious public health problem. This study addresses several objectives of Healthy People 2010 including reducing deaths from motor vehicle accidents (Objective 15-15), reducing nonfatal motor vehicle injuries (Objective 15-17), and reducing drownings (Objective 15-29). The study examined flood fatalities that occurred in Texas between 1959 and 2008. Flood fatality statistics were extracted from three sources: flood fatality databases from the National Climatic Data Center, the Spatial Hazard Event and Loss Database for the United States, and the Texas Department of State Health Services. The data collected for flood fatalities include the date, time, gender, age, location, and type of flood. Inconsistencies among the three databases were identified and discussed. Analysis reveals that most fatalities result from driving into flood water (77%). Spatial analysis indicates that more fatalities occurred in counties containing major urban centers – some of the Flash Flood Alley counties (Bexar, Dallas, Travis, and Tarrant), Harris County (Houston), and Val Verde County (Del Rio). An intervention strategy targeting the behavior of driving into flood water is proposed. The intervention is based on the Health Belief model. The main recommendation of the study is that flood fatalities in Texas can be reduced through a combination of improved hydrometeorological forecasting, educational programs aimed at enhancing the public awareness of flood risk and the seriousness of flood warnings, and timely and appropriate action by local emergency and safety authorities.^