703 resultados para Biology, Microbiology|Health Sciences, Pathology|Health Sciences, Public Health


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Radiotherapy involving the thoracic cavity and chemotherapy with the drug bleomycin are both dose limited by the development of pulmonary fibrosis. From evidence that there is variation in the population in susceptibility to pulmonary fibrosis, and animal data, it was hypothesized that individual variation in susceptibility to bleomycin-induced, or radiation-induced, pulmonary fibrosis is, in part, genetically controlled. In this thesis a three generation mouse genetic model of C57BL/6J (fibrosis prone) and C3Hf/Kam (fibrosis resistant) mouse strains and F1 and F2 (F1 intercross) progeny derived from the parental strains was developed to investigate the genetic basis of susceptibility to fibrosis. In the bleomycin studies the mice received 100 mg/kg (125 for females) of bleomycin, via mini osmotic pump. The animals were sacrificed at eight weeks following treatment or when their breathing rate indicated respiratory distress. In the radiation studies the mice were given a single dose of 14 or 16 Gy (Co$\sp{60})$ to the whole thorax and were sacrificed when moribund. The phenotype was defined as the percent of fibrosis area in the left lung as quantified with image analysis of histological sections. Quantitative trait loci (QTL) mapping was used to identify the chromosomal location of genes which contribute to susceptibility to bleomycin-induced pulmonary fibrosis in C57BL/6J mice compared to C3Hf/Kam mice and to determine if the QTL's which influence susceptibility to bleomycin-induced lung fibrosis in these progenitor strains could be implicated in susceptibility to radiation-induced lung fibrosis. For bleomycin, a genome wide scan revealed QTL's on chromosome 17, at the MHC, (LOD = 11.7 for males and 7.2 for females) accounting for approximately 21% of the phenotypic variance, and on chromosome 11 (LOD = 4.9), in male mice only, adding 8% of phenotypic variance. The bleomycin QTL on chromosome 17 was also implicated for susceptibility to radiation-induced fibrosis (LOD = 5.0) and contributes 7% of the phenotypic variance in the radiation study. In conclusion, susceptibility to both bleomycin-induced and radiation-induced pulmonary fibrosis are heritable traits, and are influenced by a genetic factor which maps to a genomic region containing the MHC. ^

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The factorial validity of the SF-36 was evaluated using confirmatory factor analysis (CFA) methods, structural equation modeling (SEM), and multigroup structural equation modeling (MSEM). First, the measurement and structural model of the hypothesized SF-36 was explicated. Second, the model was tested for the validity of a second-order factorial structure, upon evidence of model misfit, determined the best-fitting model, and tested the validity of the best-fitting model on a second random sample from the same population. Third, the best-fitting model was tested for invariance of the factorial structure across race, age, and educational subgroups using MSEM.^ The findings support the second-order factorial structure of the SF-36 as proposed by Ware and Sherbourne (1992). However, the results suggest that: (a) Mental Health and Physical Health covary; (b) general mental health cross-loads onto Physical Health; (c) general health perception loads onto Mental Health instead of Physical Health; (d) many of the error terms are correlated; and (e) the physical function scale is not reliable across these two samples. This hierarchical factor pattern was replicated across both samples of health care workers, suggesting that the post hoc model fitting was not data specific. Subgroup analysis suggests that the physical function scale is not reliable across the "age" or "education" subgroups and that the general mental health scale path from Mental Health is not reliable across the "white/nonwhite" or "education" subgroups.^ The importance of this study is in the use of SEM and MSEM in evaluating sample data from the use of the SF-36. These methods are uniquely suited to the analysis of latent variable structures and are widely used in other fields. The use of latent variable models for self reported outcome measures has become widespread, and should now be applied to medical outcomes research. Invariance testing is superior to mean scores or summary scores when evaluating differences between groups. From a practical, as well as, psychometric perspective, it seems imperative that construct validity research related to the SF-36 establish whether this same hierarchical structure and invariance holds for other populations.^ This project is presented as three articles to be submitted for publication. ^

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This study was conducted to determine the incidence and etiology of neonatal seizures, and evaluate risk factors for this condition in Harris County, Texas, between 1992 and 1994. Potential cases were ascertained from four sources: discharge diagnoses at local hospitals, birth certificates, death certificates, and a clinical study of neonatal seizures conducted concurrent with this study at a large tertiary care center in Houston, Texas. The neonatal period was defined as the first 28 days of life for term infants, and up to 44 weeks gestation for preterm infants.^ There were 207 cases of neonatal seizures ascertained among 116,048 live births, yielding and incidence of 1.8 per 1000. Half of the seizures occurred by the third day of life, 70% within the first week, and 93% within the first 28 days of life. Among 48 preterm infants with seizures 15 had their initial seizure after the 28th day of life. About 25% of all seizures occurred after discharge from the hospital of birth.^ Idiopathic seizures occurred most frequently (0.5/1000 births), followed by seizures attributed to perinatal hypoxia/ischemia (0.4/1000 births), intracranial hemorrhage (0.2/1000 births), infection of the central nervous system (0.2/1000 births), and metabolic abnormalities (0.1/1000 births).^ Risk factors were evaluated based on birth certificate information, using univariate and multivariate analysis (logistic regression). Factors considered included birth weight, gender, ethnicity, place of birth, mother's age, method of delivery, parity, multiple birth and, among term infants, small birth weight for gestational age (SGA). Among preterm infants, very low birth weight (VLBW, $<$1500 grams) was the strongest risk factor, followed by birth in private/university hospitals with a Level III nursery compared with hospitals with a Level II nursery (RR = 2.9), and male sex (RR = 1.8). The effect of very low birth weight varied according to ethnicity. Compared to preterm infants weighing 2000-2999 grams, non-white VLBW infants were 12.0 times as likely to have seizures; whereas white VLBW infants were 2.5 times as likely. Among term infants, significant risk factors included SGA (RR = 1.8), birth in Level III nursery private/university hospitals versus hospitals with Level II nursery (RR = 2.0), and birth by cesarean section (RR = 2.2). ^

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Birth defects are a leading cause of infant mortality in the developed countries. They are also of increasing concern in many developing countries, such as China. However, prevalence and causes of birth defects in China are inadequately understood.^ The purpose of the present study was to estimated prevalence of birth defects in surviving children under seven years of age in Tianjin, China and investigate determinants of birth defects in the study area.^ The present study took place in Tianjin, China in 1986, involving 22,081 surviving children under seven years of age. Children with birth defects were ascertained through physical examinations by physicians during household visits and ascertainment of birth defects was verified through multiple sources. Of 22,081 surviving children, 524 had birth defects (23.7 per 1,000). The study noted a striking discrepancy in the prevalence of birth defects between urban and rural area. The prevalence of birth defects was 16.3 per 1,000 in the urban and 33.2 per 1,000 in the rural area.^ Using cases of birth defects ascertained from surviving children, a case-control study was carried out. The study observed that first-trimester maternal flu was associated with increased risk of both major and minor birth defects in children after controlling for other maternal factors (adjusted odds ratio (OR) = 8.7, 95% confidence interval (CI) = 4.3-17.3; OR = 3.6, 95% CI = 1.7-7.5). This association could be biased by different reporting of exposure between mothers of children with birth defects and mothers of children without defects. This study indicated that maternal flu was also associated with congenital heart defects and polydactyly after controlling for other maternal factors (adjusted OR = 32.3, 95% CI = 13.3-78.3; adjusted OR = 5.5, 95% CI = 1.1-27.7). The associations remained when affected controls (children with similar birth defects other than congenital heart defects or polydactyly) were used (adjusted OR = 4.3, 95% CI = 1.2-15.3; OR = 1.4, 95% CI = 1.4-7.9). A weak association between first-trimester vaginal bleeding and selected groups of birth defects was found in this study, but the association may be confounded by other factors. Maternal smoking during pregnancy was modestly associated with cleft lip with or without cleft palate (OR = 1.4, 95% = 0.4-4.9), but the association may be due to chance. Some major limitations in this study warrant caution in interpretation of the findings, especially the causal relation. ^

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In response to growing concern for occupational health and safety in the public hospital system in Costa Rica, a research program was initiated in 1995 to evaluate and improve the safety climate in the national healthcare system through regional training programs, and to develop the capacity of the occupational health commissions in these settings to improve the identification and mitigation of workplace risks. A cross-sectional survey of 1000 hospital-based healthcare workers was conducted in 1997 to collect baseline data that will be used to develop appropriate worker training programs in occupational health. The objectives of this survey were to: (1) describe the safety climate within the national hospital system, (2) identify factors associated with safety climate focusing on individual and organizational variables, and (3) to evaluate the relationship between safety climate and workplace injuries and safety practices of employees. Individual factors evaluated included the demographic variables of age, gender, education and profession. Organizational factors evaluated included training, psychosocial work environment, job-task demands, availability of protective equipment and administrative controls. Work-related injuries and safety practices of employees included the type and frequency of injuries experienced and reported, and compliance with established safety practices. Multivariate regression analyses demonstrated that training and administrative controls were the two most significant predictors of safety climate. None of the demographic variables were significant predictors of safety climate. Safety climate was inversely and significantly associated with workplace injuries and positively and significantly associated with safety practices. These results suggest that training and administrative controls should be included in future training efforts and that improving safety climate will decrease workplace injuries and increase safety practices. ^

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This paper reports a comparison of three modeling strategies for the analysis of hospital mortality in a sample of general medicine inpatients in a Department of Veterans Affairs medical center. Logistic regression, a Markov chain model, and longitudinal logistic regression were evaluated on predictive performance as measured by the c-index and on accuracy of expected numbers of deaths compared to observed. The logistic regression used patient information collected at admission; the Markov model was comprised of two absorbing states for discharge and death and three transient states reflecting increasing severity of illness as measured by laboratory data collected during the hospital stay; longitudinal regression employed Generalized Estimating Equations (GEE) to model covariance structure for the repeated binary outcome. Results showed that the logistic regression predicted hospital mortality as well as the alternative methods but was limited in scope of application. The Markov chain provides insights into how day to day changes of illness severity lead to discharge or death. The longitudinal logistic regression showed that increasing illness trajectory is associated with hospital mortality. The conclusion is reached that for standard applications in modeling hospital mortality, logistic regression is adequate, but for new challenges facing health services research today, alternative methods are equally predictive, practical, and can provide new insights. ^

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Health care providers face the problem of trying to make decisions with inadequate information and also with an overload of (often contradictory) information. Physicians often choose treatment long before they know which disease is present. Indeed, uncertainty is intrinsic to the practice of medicine. Decision analysis can help physicians structure and work through a medical decision problem, and can provide reassurance that decisions are rational and consistent with the beliefs and preferences of other physicians and patients. ^ The primary purpose of this research project is to develop the theory, methods, techniques and tools necessary for designing and implementing a system to support solving medical decision problems. A case study involving “abdominal pain” serves as a prototype for implementing the system. The research, however, focuses on a generic class of problems and aims at covering theoretical as well as practical aspects of the system developed. ^ The main contributions of this research are: (1) bridging the gap between the statistical approach and the knowledge-based (expert) approach to medical decision making; (2) linking a collection of methods, techniques and tools together to allow for the design of a medical decision support system, based on a framework that involves the Analytic Network Process (ANP), the generalization of the Analytic Hierarchy Process (AHP) to dependence and feedback, for problems involving diagnosis and treatment; (3) enhancing the representation and manipulation of uncertainty in the ANP framework by incorporating group consensus weights; and (4) developing a computer program to assist in the implementation of the system. ^

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The objective of this study was to determine whether cancer chemotherapy induces detectable mutations in DNA of the human germline and whether minisatellite repeat number changes can be used as a sensitive indicator of genetic damage in human sperm caused by mutagens. We compared the mutation frequencies in sperm of the same cancer patients pre- and post-, pre- and during, or during and post-treatment. Small pool polymerase chain reaction (SP-PCR) (DNA equivalent to approximately 100 sperm) and Southern blotting techniques were used to detect mutations and quantify the frequency of repeat number changes at the minisatellite MS205 locus. One pre- and one post-treatment semen sample was obtained from each Hodgkin's disease patient treated with either: (1) a regimen without alkylating agents, Novantrone, Oncovin, Vinblastine, and Prednisone (NOVP), 4 patients; (2) a regimen containing alkylating agents, Cytoxan, Vinblastine, Procarbazine, and Prednisone (CVPP)/Adriamycin, Bleomycin, DTIC, CCNU, and Prednisone (ABDIC), 2 patients; and (3) a regimen containing alkylating agents, Mechlorethamine, Oncovin, Procarbazine, and Prednisone (MOPP), 1 patient. One pre- and one during treatment semen sample from each of two Hodgkin's disease patients treated with Adriamycin, Bleomycin, Vinblastine, and Dacarbazine (ABVD) were obtained. One during and one post-treatment semen sample from a Hodgkin's disease patient treated with NOVP were also obtained. At least 7900 sperm in each sample were screened for the repeat number changes at the MS205 locus by multi-aliquots of SP-PCR. The mutation frequencies of pre- and post-treatment for the four patients treated with NOVP were 0.22 and 0.18%; 0.24 and 0.16%; 0.35 and 0.28%; and 0.19 and 0.18%. With CVPP/ABDIC, they were 0.22 and 0.23%; and 0.94 and 0.98% for the two patients and with MOPP they were 0.79 and 1.14%. The mutation frequencies of pre- and during treatment with ABVD were 0.09 and 0.07%; and 0.34 and 0.27% for the two patients. The mutation frequencies of during and post-treatment with NOVP for one patient were 0.31 and 0.25%. A statistically significant increase in mutation frequency was only found in the patient treated with MOPP. According to the time of samples collected after or during treatment and the above results, we conclude that there is no effect of NOVP and CVPP/ABDIC regimens on the mutation frequency in spermatogonia. The spermatocytes are not highly sensitive to chemotherapy agents compared to spermatogonia at the minisatellite MS205 locus. MOPP treatment may increase the mutation frequency at the MS205 locus in spermatogonia. ^

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1,25-dihydroxyvitamin D3 [1,25(OH)2D 3] exerts pleiotropic effects on osteoblasts via both long-term nuclear receptor-mediated and rapid membrane-initiated pathways during bone remodeling and mineral homeostasis. This study explored the membrane transducers that mediate rapid effects of 1,25(OH)2D3 on osteoblasts, including sphingomyelinase (SMase) and L-type voltage sensitive calcium channels (VSCCs). ^ It was previously demonstrated that 1,25(OH)2D3 stimulates transmembrane influx of Ca2+ through VSCCs in ROS 17/2.8 osteoblasts, however the molecular identity of 1,25(OH)2D 3-regulated VSCC has not been known. In this study, on the basis of in vitro tests of three unique ribozymes specifically cleaving a1C mRNA, I transfected ROS 17/2.8 cells with vectors coding recombinant ribozyme modified with U1 snRNA structure, and successfully selected stable clonal cells in which the expression of a1C was strikingly reduced. Ca2+ influx studies in these cells compared to control transfectants showed selective attenuation of depolarization- and 1,25(OH)2D3-regulated Ca2+ responses. These results allow us to conclude that the cardiac ( a1C ) subtype of the L-type VSCC is the major membrane transducer of Ca 2+ influx in osteoblasts. ^ I also demonstrated that 1,25(OH)2D3 induces a rapid hydrolysis of membrane sphingomyelin (SM) in ROS 17/2.8 cells, with the concomitant generation of ceramide, detectable at 15 minute, and maximal at 1 hour after addition. Sphingosine, sphingosine-1-phosphate (SPP) and sphingosylphosphorylcholine (SPC), downstream products of SM hydrolysis, but not ceramide, elicit Ca 2+ release from intracellular stores. Considering ceramide, sphingosine, and SPP as second messengers modulating intracellular kinases or phosphatases, these findings implicate sphingolipid-signaling pathways in transducing rapid effects of 1,25(OH)2D3 on osteoblasts. In structure/function analyses of sphingolipid signaling, it was observed that psychosine elicits Ca2+ release from intracellular stores. This challenges the dogma that sphingosine phosphorylation permits mobilization of Ca2+ , because psychosine is a sphingosine analog galactosylated at 1-carbon, preventing phosphorylation at that site. Psychosine is the pathological metabolite found in patients with Krabbe's disease, suggesting that psychosine disrupts the physiological sphingolipid signaling by chronic release of Ca2+ from intracellular stores. ^ Slower SM turnover than Ca2+ influx through VSCCs in response to 1,25(OH)2D3 demonstrates ceramide does not mediate the 1,25(OH)2D3-induced Ca2+ signaling, a conclusion endorsed further by the failure of ceramide to induce Ca 2+ signaling. ^

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Many studies in biostatistics deal with binary data. Some of these studies involve correlated observations, which can complicate the analysis of the resulting data. Studies of this kind typically arise when a high degree of commonality exists between test subjects. If there exists a natural hierarchy in the data, multilevel analysis is an appropriate tool for the analysis. Two examples are the measurements on identical twins, or the study of symmetrical organs or appendages such as in the case of ophthalmic studies. Although this type of matching appears ideal for the purposes of comparison, analysis of the resulting data while ignoring the effect of intra-cluster correlation has been shown to produce biased results.^ This paper will explore the use of multilevel modeling of simulated binary data with predetermined levels of correlation. Data will be generated using the Beta-Binomial method with varying degrees of correlation between the lower level observations. The data will be analyzed using the multilevel software package MlwiN (Woodhouse, et al, 1995). Comparisons between the specified intra-cluster correlation of these data and the estimated correlations, using multilevel analysis, will be used to examine the accuracy of this technique in analyzing this type of data. ^

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A non-parametric method was developed and tested to compare the partial areas under two correlated Receiver Operating Characteristic curves. Based on the theory of generalized U-statistics the mathematical formulas have been derived for computing ROC area, and the variance and covariance between the portions of two ROC curves. A practical SAS application also has been developed to facilitate the calculations. The accuracy of the non-parametric method was evaluated by comparing it to other methods. By applying our method to the data from a published ROC analysis of CT image, our results are very close to theirs. A hypothetical example was used to demonstrate the effects of two crossed ROC curves. The two ROC areas are the same. However each portion of the area between two ROC curves were found to be significantly different by the partial ROC curve analysis. For computation of ROC curves with large scales, such as a logistic regression model, we applied our method to the breast cancer study with Medicare claims data. It yielded the same ROC area computation as the SAS Logistic procedure. Our method also provides an alternative to the global summary of ROC area comparison by directly comparing the true-positive rates for two regression models and by determining the range of false-positive values where the models differ. ^

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The relationship between MMAC/PTEN, DMBT1 and the progression and prognosis of glioma, and the association between the alterations of MMAC/PTEN, p53, p16, and Rb and some cancer risk factors, such as smoking, exposure to radiation, family cancer history, and previous cancer history, were assessed in 4 studies. ^ By allelic deletion analysis, MMAC/PTEN locus was shown to be frequently lost in glioblastomas multiforme (GM) but maintained in most lower-grade astrocytic tumors. DMBT1 locus, however, was frequently lost in all grades of gliomas examined. The potential biological significance of these two regions was frontier assessed by examining microcell-hybrids that contained various fragments of 10q. Somatic cell hybrid clones that retained the MMAC/PTEN locus have less transformed phenotypes, exhibiting an inability to grow in soft agarose. On the other hand, the presence or absence of DAMT1 did not correlate with any in vitro phenotype assessed in our model system. Further, Cox proportional hazards regression analysis, adjusted for age at surgery and histologic grades (GM, and non-GM), showed that without LOH at the MMAC/PTEN locus had a significantly better prognosis than did patients with LOH at MMAC/ PTEN (hazard ratio = 0.5; 95% Cl = 0.28–0.89; P = 0.018). Furthermore, status of LOH at MMAC/PTEN was found to be significantly associated with age, while that for DMBT1 was not. These results suggest that the DMBT1 may be involved early in the oncogenesis of gliomas, while alterations in the MMAC /PTEN may be a late event in the oncogenesis related with progression of gliomas and provide a significant prognostic marker for patient survival. ^ The associations between 4 cancer risk factors and 4 tumor suppressor genes were assessed. The expression of p16 was observed to be associated with current smoking (adjusted OR = 1.9, 95% CI = 1.02–3.6) but not the former smoking (adjusted OR = 1.1, 95% Cl = 0.5–3.5). The expression of p53 was found to be associated with the family cancer history (OR = 3.5, 95% Cl = 1.07–11 for patients with first-degree family history of cancer). MMAC/ PTEN was associated with the histologic grade (OR = 2.8, 95% CI = 1.2–6.6) and age (P = 0.035). Also, the OR for LOH around MMAC/PTEN in patients with a family history of cancer was elevated (OR = 1.9, 95% CI = 0.8–4.6 for patients with first-degree family history of cancer). The associations between exposure and the alterations of tumor suppressor genes, between smoking and p16, between family history of cancer and p53 and MMAC/PTEN, provide suggestive evidences that those exposures are related to the development of gliomas. ^

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Neural tube defects (NTDs) are malformations of the developing brain and spinal cord; the most common are anencephaly and spina bifida. Evidence from many populations suggests that 50% of NTDs can be prevented through daily consumption of folic acid. A recent study has reported that folic acid may not protect populations of Mexican descent. This finding has serious implications for women living along the US-Mexico border. Not only is risk high in these Mexican American women compared with other US women; they also differ markedly in supplemental folic acid and dietary folate consumption, and in NTD-related risks (e.g., obesity, diabetes). This case-control study investigated whether folic acid supplements and dietary folate reduces NTDs in Mexican Americans. Cases included liveborn, stillborn, electively and spontaneously aborted NTD-affected fetuses and infants occurring in the 14-county Texas-Mexico border. Controls were randomly selected from unaffected live births, frequency matched to cases by hospital and year. An in-person interview of 110 case and 113 control mothers solicited data on folic acid supplements, dietary folate, and other covariates. Consumption of folic acid-containing vitamins before conception was only 5% for both case and control women. Taking vitamins the trimester before conception had no apparent effect, after adjusting for covariates [odds ratio (OR) = 1.0, 95% confidence interval (CI) = 0.3–3.4]. Combining folate from vitamins and diet showed a 20% risk reduction for women consuming at least 400 μg of folate daily [OR = 0.8, 95% CI = 0.5–1.5]; however, this estimate is statistically indistinguishable from the null. Although consistent with an inherent ineffectiveness of supplemental folic acid, that so few women consumed multivitamins during the critical time severely limited the assessment of folic acid in this population. A reduced folate response in Mexican descent women may be due to a genetic heterogeneity for metabolizing folate. Alternatively, folate intakes may be insufficient to overcome other underlying risk factors. In conclusion, determining whether folic acid reduces NTD risk in Mexican American women requires further study in populations with higher folic acid exposures. Meanwhile, we should pursue all recommended prevention strategies to reduce risk, including motivating Mexican American women of childbearing age to take folic acid routinely. ^

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The use of group-randomized trials is particularly widespread in the evaluation of health care, educational, and screening strategies. Group-randomized trials represent a subset of a larger class of designs often labeled nested, hierarchical, or multilevel and are characterized by the randomization of intact social units or groups, rather than individuals. The application of random effects models to group-randomized trials requires the specification of fixed and random components of the model. The underlying assumption is usually that these random components are normally distributed. This research is intended to determine if the Type I error rate and power are affected when the assumption of normality for the random component representing the group effect is violated. ^ In this study, simulated data are used to examine the Type I error rate, power, bias and mean squared error of the estimates of the fixed effect and the observed intraclass correlation coefficient (ICC) when the random component representing the group effect possess distributions with non-normal characteristics, such as heavy tails or severe skewness. The simulated data are generated with various characteristics (e.g. number of schools per condition, number of students per school, and several within school ICCs) observed in most small, school-based, group-randomized trials. The analysis is carried out using SAS PROC MIXED, Version 6.12, with random effects specified in a random statement and restricted maximum likelihood (REML) estimation specified. The results from the non-normally distributed data are compared to the results obtained from the analysis of data with similar design characteristics but normally distributed random effects. ^ The results suggest that the violation of the normality assumption for the group component by a skewed or heavy-tailed distribution does not appear to influence the estimation of the fixed effect, Type I error, and power. Negative biases were detected when estimating the sample ICC and dramatically increased in magnitude as the true ICC increased. These biases were not as pronounced when the true ICC was within the range observed in most group-randomized trials (i.e. 0.00 to 0.05). The normally distributed group effect also resulted in bias ICC estimates when the true ICC was greater than 0.05. However, this may be a result of higher correlation within the data. ^

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The progressive growth of epithelial ovarian cancer tumor is regulated by proangiogenic molecules and growth factors released by tumor cells and the microenvironment. Previous studies showed that the expression of interleukin-8 (IL-8) directly correlates with the progression of human ovarian carcinomas implanted into the peritoneal cavity of nude mice. We examined the expression level of IL-8 in archival specimens of primary human ovarian carcinoma from patients undergoing curative surgery by in situ mRNA hybridization technique. The expression of IL-8 was significantly higher in patients with stage III disease than in patients with stage I disease. To investigate the role of IL-8 in the progressive growth of ovarian cancer, we isolated high- and low-IL-8 producing clones from parental Hey-A8 human ovarian cancer cells, and compared their proliferative activity and tumorigenicity in nude mice. The effect of exogenous IL-8 and IL-8 neutralizing antibody on ovarian cancer cell proliferation was investigated. Finally, we studied the modulation of IL-8 expression in ovarian cancer cells by sense and antisense IL-8 expression vector transfection and its effect on proliferation and tumorigenicity. We concluded that IL-8 has a direct growth potentiating activity in human ovarian cancer cells. ^ The expression level of IL-8 directly correlates with disease progression of human ovarian cancer, but the mechanism of induction is unknown. Since hypoxia and acidic pH are common features in solid tumors, we determined whether hypoxic and acidic conditions could regulate the expression of IL-8. Culturing the human ovarian cancer cells in hypoxic or acidic medium led to a significant increase in IL-8 mRNA and protein. Hypoxic- and acidosis-mediated transient increase in IL-8 expression involved both transcriptional activation of the IL-8 gene and enhanced stability of the IL-8 mRNA. Furthermore, we showed that IL-8 transcription activation by hypoxia or acidosis required the cooperation of NF-κB and AP-1 binding sites. ^ Finally, we studied novel therapies against human ovarian cancer. First, we determined whether inhibition of the catalytic tyrosine kinase activity of the receptors for vascular endothelial growth factor/vascular permeability factor (VEGF/VPF) inhibits the formation of malignant ascites and the progressive growth of human ovarian carcinoma cells implanted into the peritoneal cavity of nude mice. Our results suggest that blockade of the VEGF/VPF receptor may be an efficient strategy to inhibit formation of malignant ascites and growth of VEGF/VPF-dependent human ovarian carcinomas. Secondly, we determined whether local sustained production of murine interferon-β could inhibit the growth of human ovarian cancer cells in the peritoneal cavity of nude mice. Our results showed that local production of IFN-β could inhibit the in vivo growth of human ovarian cancer cells by upregulating the expression of the inducible nitric oxide synthase (NOS) in host macrophages. ^