988 resultados para Regression Coefficient


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Pós-graduação em Genética e Melhoramento Animal - FCAV

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O objetivo do trabalho foi estabelecer a relação entre a ecobiometria renal com medidas de conformação corporal como a distância atlanto-coccígea (DAC) e a altura (H) de cães adultos saudáveis, obtendo-se parâmetros de normalidade para avaliar o tamanho e volume renal, bem como estabelecer valores de referência para avaliar a perfusão sanguínea dos rins por meio do índice de resistividade (IR) e do índice de pulsatilidade (IP) do ramo principal da artéria renal. No estudo foram utilizados 22 cães adultos sem raça definida, sendo 11 machos e 11 fêmeas. Os animais foram previamente aferidos quanto a DAC e a H. Os exames ultra-sonográficos foram realizados com um aparelho HDI 4000 PHILIPS munido de um transdutor microconvexo multifreqüêncial (5-8 MHz), dispositivos Doppler Colorido e Doppler de Fluxo. Os animais foram posicionados em decúbito lateral direito ou esquerdo, de acordo com o rim a ser avaliado. Os diâmetros longitudinal (DL) e dorsoventral (DDV) dos rins foram mensurados na secção longitudinal e, o diâmetro transversal (DT) foi aferido no plano transversal. O volume (V) foi calculado automaticamente pelo software do ultra-som. Com o uso do Triplex Doppler, o IR e o IP das artérias renais direita e esquerda foram obtidos. Todos os dados foram apresentados em média ± EPM. Análises de regressão linear foram realizadas tendo o DL, DDV, DT e V como variáveis dependentes e a DAC e H como variáveis independentes. Os IR e IP dos rins direito e esquerdo foram comparados pelo teste t de Student. A DAC variou de 54-78cm para machos e 37-71cm para fêmeas e a altura variou entre 34-64 cm para os machos e 24-57cm para as fêmeas. As médias obtidas para DL, DDV, DT e V dos rins esquerdo e direito foram: 5,24±0,27cm, 3,07±0,15cm, 3,07±0,9cm, 28,01±3,4mL e 4,50±0,19cm, 2,88±0,14cm, 2,71±0,15cm, 21,27±2,6mL, respectivamente. As análises de regressão linear entre as medidas lineares e volume renal com a DAC e a H foram significativas para os interceptos e coeficientes de regressão (P<0,01). Houve diferenças estatísticas quando comparado os IR e IP entre os rins direito e esquerdo (P=0,001), sendo que as médias para IR e IP dos rins esquerdo e direito foram 0,62±0,08; 1,34±0,18 e 0,70±0,06; 1,62±0,13; respectivamente. Os dados obtidos no presente trabalho podem auxiliar na avaliação do tamanho, volume e perfusão dos rins de cães adultos.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Durch die ansteigende Inzidenz und niedrige Mortalität steigt die Anzahl der überlebenden Männer nach Prostatakarzinom. Mit einer 5-Jahresprävalenz von 279.000 Männern stellte das Prostatakarzinom im Jahr 2010 den größten Anteil der Krebspatienten. Die absolute 5-Jahres-Überlebensrate liegt bei 78 %. Studien zur Lebensqualität dieser Langzeitüberlebenden (> 5 Jahre nach Diagnosestellung) beschränken sich meist auf bestimmte Therapien, schließen höhere Tumorstadien aus oder untersuchen nur die Wirkung von klinischen Einflussfaktoren. In Schleswig-Holstein wurde im Rahmen der populationsbezogenen OVIS- und CAESAR-Studie die Lebensqualität bei Männern mit bzw. nach Prostatakrebs zu drei Zeitpunkten erhoben (15 Monate, 3 ½ und 7 Jahre nach initialer Diagnose). Für die allgemeine krebsspezifische Lebensqualität (EORTC QLQ-C30) erfolgt eine Beschreibung des Verlaufs sowie ein Vergleich mit Referenzdaten aus der deutschen Allgemeinbevölkerung. Aus der dritten Befragung liegen auch Daten zur prostataspezifischen Lebensqualität (EORTC QLQ-PR25) vor. Mittels multipler linearer Regressionen werden für elf ausgewählte Lebensqualitätsskalen (mögliche Werte 0 bis 100) potenzielle Einflussfaktoren (klinisch, soziodemographisch, Lifestyle) untersucht. Die Lebensqualität der 911 Männer (medianes Alter bei Drittbefragung: 72 Jahre) nimmt im zeitlichen Verlauf nur gering, aber nicht klinisch relevant ab. Es zeigen sich nur geringe Unterschiede zur Lebensqualität der Referenzbevölkerung. Im absoluten Vergleich aller Skalen werden zum Zeitpunkt der Drittbefragung auf den prostataspezifischen Skalen die größten Einschränkungen berichtet. In den berechneten multiplen Regressionen war sieben Jahre nach Diagnose eine Krankheitsprogression auf allen untersuchten Skalen signifikant mit einer geringeren Lebensqualität assoziiert (niedrigster Regressionskoeffizient βadj -13,8, 95 %-CI -18,8; -8,8). Eine Strahlentherapie zeigte auf zehn, eine Hormontherapie auf fünf Skalen einen negativen Einfluss. Ebenfalls auf fünf Skalen war ein höherer Body-Mass-Index ein Prädiktor für eine geringere Lebensqualität. Auf allen Funktionsskalen war ein höherer Sozialstatus mit einer besseren Lebensqualität assoziiert und zeigte tendenziell einen größeren Einfluss als die initiale Therapie. Alleinstehende Männer berichteten eine geringere sexuelle Aktivität (βadj -7,5, 95 %-CI -13,8; -1,2) als Männer in einer Partnerschaft. Neben klinischen Faktoren beeinflussen auch soziodemographische Variablen die Lebensqualität von langzeitüberlebenden Männern nach bzw. mit Prostatakarzinom signifikant. Daher sollten in nicht-randomisierten Studien zum Adjustieren die entsprechenden Variablen (wie z. B. Body-Mass-Index, Sozialstatus, Partnerschaft) mit erhoben werden. Klinisch relevante Veränderungen der allgemeinen krebsspezifischen Lebensqualität finden – wenn überhaupt – innerhalb der ersten 15 Monate nach Diagnosestellung statt. Referenzdaten für die prostataspezifische Lebensqualität der Allgemeinbevölkerung liegen nicht vor. Eine Erhebung dieser scheint sinnvoll, da hier größere Unterschiede im Vergleich beider Gruppen erwartet werden.

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OBJECTIVE: The primary aim of the present study was to investigate whether there is a relationship between central hypersensitivity (assessed by pressure pain thresholds of uninjured tissues) and intradiscal pain threshold during discography. The secondary aim was to test the hypothesis that peripheral noxious stimulation dynamically modulates central hypersensitivity. PATIENTS: Twenty-four patients with positive provocation discography were tested for central hypersensitivity by pressure algometry before and after the intervention with assessments of pressure pain detection and tolerance thresholds. Intradiscal pain threshold was assessed by measuring intradiscal pressure at the moment of pain provocation during discography. Correlation analyses between intradiscal pain threshold and pressure algometry were made. For the secondary aim, pressure algometry data before and after discography were compared. RESULTS: Significant correlation with intradiscal pain threshold was found for pressure pain detection threshold at the toe (regression coefficient: 0.03, P = 0.05) and pressure pain tolerance thresholds at the nonpainful point at the back (0.02, P = 0.024). Tolerance threshold at the toe was a significant predictor for intradiscal pain threshold only in multiple linear regression (0.036, P = 0.027). Detection as well as tolerance thresholds significantly decreased after discography at the painful and the nonpainful point at the back, but not at the toe. CONCLUSIONS: Central hypersensitivity may influence intradiscal pain threshold, but with a modest quantitative impact. The diagnostic value of provocation discography is therefore not substantially impaired. Regional, but not generalized central hypersensitivity is dynamically modulated by ongoing peripheral nociceptive input.

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BACKGROUND: The Bispectral Index (BIS) reportedly reflects anesthetic depth. It is recommended that anesthetic agents should be titrated to maintain the BIS between 40 and 60 arbitrary BIS units during anesthesia. For anesthesia providers to follow this recommendation, the monitor should be predictably affected by different anesthetic agents and have good interpatient and intrapatient reproducibility. The authors hypothesized that when two BISxp devices (Aspect Medical Systems, Newton, MA) are placed concurrently on the same patient, their readings are concordant throughout the anesthetic period. METHODS: Simultaneous BIS recordings from two BISxp monitors were obtained during anesthesia at 5-s intervals from 12 participants. RESULTS: In total 22,860 concurrent paired BIS readings were obtained. For 10.7% of the time, there were sustained periods of 30 s or greater where the readings suggested a different depth of anesthesia. For 6% of the time, there were sustained periods of 30 s or greater where the readings differed by 10 or more arbitrary BIS units. The regression coefficient (R) for the two devices was 0.65 (range, 0.35-0.92). There was zero bias between the devices, and the 95% limits of agreement ranged between -18 and +17. CONCLUSION: A conflicting anesthetic management was suggested by the simultaneous BIS readings 10.7% of the time. These results suggest that BISxp does not always provide a reproducible single number. Anesthesia providers should not rely exclusively on the BIS reading when assessing depth of anesthesia.

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The flammability zone boundaries are very important properties to prevent explosions in the process industries. Within the boundaries, a flame or explosion can occur so it is important to understand these boundaries to prevent fires and explosions. Very little work has been reported in the literature to model the flammability zone boundaries. Two boundaries are defined and studied: the upper flammability zone boundary and the lower flammability zone boundary. Three methods are presented to predict the upper and lower flammability zone boundaries: The linear model The extended linear model, and An empirical model The linear model is a thermodynamic model that uses the upper flammability limit (UFL) and lower flammability limit (LFL) to calculate two adiabatic flame temperatures. When the proper assumptions are applied, the linear model can be reduced to the well-known equation yLOC = zyLFL for estimation of the limiting oxygen concentration. The extended linear model attempts to account for the changes in the reactions along the UFL boundary. Finally, the empirical method fits the boundaries with linear equations between the UFL or LFL and the intercept with the oxygen axis. xx Comparison of the models to experimental data of the flammability zone shows that the best model for estimating the flammability zone boundaries is the empirical method. It is shown that is fits the limiting oxygen concentration (LOC), upper oxygen limit (UOL), and the lower oxygen limit (LOL) quite well. The regression coefficient values for the fits to the LOC, UOL, and LOL are 0.672, 0.968, and 0.959, respectively. This is better than the fit of the "zyLFL" method for the LOC in which the regression coefficient’s value is 0.416.

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BACKGROUND Drinking eight glasses of fluid or water each day is widely believed to improve health, but evidence is sparse and conflicting. We aimed to investigate the association between fluid consumption and long-term mortality and kidney function. METHODS We conducted a longitudinal analysis within a prospective, population-based cohort study of 3858 men and women aged 49 years or older residing in Australia. Daily fluid intake from food and beverages not including water was measured using a food frequency questionnaire. We did multivariable adjusted Cox proportional hazard models for all-cause and cardiovascular mortality and a boot-strapping procedure for estimated glomerular filtration rate (eGFR). RESULTS Upper and lower quartiles of daily fluid intake corresponded to >3 L and <2 L, respectively. During a median follow-up of 13.1 years (total 43 093 years at risk), 1127 deaths (26.1 per 1000 years at risk) including 580 cardiovascular deaths (13.5 per 1000 years at risk) occurred. Daily fluid intake (per 250 mL increase) was not associated with all-cause [adjusted hazard ratio (HR) 0.99 (95% CI 0.98-1.01)] or cardiovascular mortality [HR 0.98 (95% CI 0.95-1.01)]. Overall, eGFR reduced by 2.2 mL/min per 1.73 m(2) (SD 10.9) in the 1207 (31%) participants who had repeat creatinine measurements and this was not associated with fluid intake [adjusted regression coefficient 0.06 mL/min/1.73 m(2) per 250 mL increase (95% CI -0.03 to 0.14)]. CONCLUSIONS Fluid intake from food and beverages excluding water is not associated with improved kidney function or reduced mortality.

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In this study, we investigated the scaling relations between trabecular bone volume fraction (BV/TV) and parameters of the trabecular microstructure at different skeletal sites. Cylindrical bone samples with a diameter of 8mm were harvested from different skeletal sites of 154 human donors in vitro: 87 from the distal radius, 59/69 from the thoracic/lumbar spine, 51 from the femoral neck, and 83 from the greater trochanter. μCT images were obtained with an isotropic spatial resolution of 26μm. BV/TV and trabecular microstructure parameters (TbN, TbTh, TbSp, scaling indices (< > and σ of α and αz), and Minkowski Functionals (Surface, Curvature, Euler)) were computed for each sample. The regression coefficient β was determined for each skeletal site as the slope of a linear fit in the double-logarithmic representations of the correlations of BV/TV versus the respective microstructure parameter. Statistically significant correlation coefficients ranging from r=0.36 to r=0.97 were observed for BV/TV versus microstructure parameters, except for Curvature and Euler. The regression coefficients β were 0.19 to 0.23 (TbN), 0.21 to 0.30 (TbTh), −0.28 to −0.24 (TbSp), 0.58 to 0.71 (Surface) and 0.12 to 0.16 (<α>), 0.07 to 0.11 (<αz>), −0.44 to −0.30 (σ(α)), and −0.39 to −0.14 (σ(αz)) at the different skeletal sites. The 95% confidence intervals of β overlapped for almost all microstructure parameters at the different skeletal sites. The scaling relations were independent of vertebral fracture status and similar for subjects aged 60–69, 70–79, and >79years. In conclusion, the bone volume fraction–microstructure scaling relations showed a rather universal character.

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PRINCIPLES To assess gynaecologists' awareness of bone healthcare in women and the prevalence of application of national recommendations on bone healthcare in Switzerland. METHODS During the annual meeting of the Swiss Society of Gynaecology and Obstetrics 2012, the Swiss Association against Osteoporosis (SVGO) performed standardised interviews with conference participants (n = 210). Questions addressed responsibility for bone healthcare, and whether diagnostic procedures, initiation of bone-specific treatment and follow-up were performed in accordance with SVGO recommendations. RESULTS The majority of respondents were aged 30-50 years (60%), female (70%) and working as board-certified gynaecologists (69%). Ninety-three percent of respondents considered care for bone health as part of the gynaecologist's expertise. As diagnostic procedures, 44% recommended performing bone densitometry (DXA) only, 34% ordered additional laboratory testing. Seventy-two percent of respondents initiated a bone-specific treatment. Predictors for not performing diagnostic procedures and not initiating a bone-specific treatment were physician's age below 30, being a trainee gynaecologist, and working at a university clinic. Particularly, young trainee gynaecologists working at a university clinic were especially unlikely to initiate a bone-specific treatment (regression coefficient = -2.68; odds ratio [OR] 0.069, 95% confidence interval [CI] 0.01-0.61; p = 0.16). Follow-ups were performed by 77% of respondents, but were less likely to be by female physicians (OR 0.27, 95% CI 0.09-0.84; p = 0.024). CONCLUSIONS Although the majority of board-certified gynaecologists follow national recommendations on bone healthcare, current medical training in obstetrics and gynaecology does not sufficiently cover the subject of women's health. However, since this is a small study our findings may not reflect the findings in the total population.

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AIMS/HYPOTHESIS Plasminogen activator inhibitor-1 (PAI-1) has been regarded as the main antifibrinolytic protein in diabetes, but recent work indicates that complement C3 (C3), an inflammatory protein, directly compromises fibrinolysis in type 1 diabetes. The aim of the current project was to investigate associations between C3 and fibrinolysis in a large cohort of individuals with type 2 diabetes. METHODS Plasma levels of C3, C-reactive protein (CRP), PAI-1 and fibrinogen were analysed by ELISA in 837 patients enrolled in the Edinburgh Type 2 Diabetes Study. Fibrin clot lysis was analysed using a validated turbidimetric assay. RESULTS Clot lysis time correlated with C3 and PAI-1 plasma levels (r = 0.24, p < 0.001 and r = 0.22, p < 0.001, respectively). In a multivariable regression model involving age, sex, BMI, C3, PAI-1, CRP and fibrinogen, and using log-transformed data as appropriate, C3 was associated with clot lysis time (regression coefficient 0.227 [95% CI 0.161, 0.292], p < 0.001), as was PAI-1 (regression coefficient 0.033 [95% CI 0.020, 0.064], p < 0.05) but not fibrinogen (regression coefficient 0.003 [95% CI -0.046, 0.051], p = 0.92) or CRP (regression coefficient 0.024 [95% CI -0.008, 0.056], p = 0.14). No correlation was demonstrated between plasma levels of C3 and PAI-1 (r = -0.03, p = 0.44), consistent with previous observations that the two proteins affect different pathways in the fibrinolytic system. CONCLUSIONS/INTERPRETATION Similarly to PAI-1, C3 plasma levels are independently associated with fibrin clot lysis in individuals with type 2 diabetes. Therefore, future studies should analyse C3 plasma levels as a surrogate marker of fibrinolysis potential in this population.

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BACKGROUND In contrast to objective structured clinical examinations (OSCEs), mini-clinical evaluation exercises (mini-CEXs) take place at the clinical workplace. As both mini-CEXs and OSCEs assess clinical skills, but within different contexts, this study aims at analyzing to which degree students' mini-CEX scores can be predicted by their recent OSCE scores and/or context characteristics. METHODS Medical students participated in an end of Year 3 OSCE and in 11 mini-CEXs during 5 different clerkships of Year 4. The students' mean scores of 9 clinical skills OSCE stations and mean 'overall' and 'domain' mini-CEX scores, averaged over all mini-CEXs of each student were computed. Linear regression analyses including random effects were used to predict mini-CEX scores by OSCE performance and characteristics of clinics, trainers, students and assessments. RESULTS A total of 512 trainers in 45 clinics provided 1783 mini-CEX ratings for 165 students; OSCE results were available for 144 students (87 %). Most influential for the prediction of 'overall' mini-CEX scores was the trainers' clinical position with a regression coefficient of 0.55 (95 %-CI: 0.26-0.84; p < .001) for residents compared to heads of department. Highly complex tasks and assessments taking place in large clinics significantly enhanced 'overall' mini-CEX scores, too. In contrast, high OSCE performance did not significantly increase 'overall' mini-CEX scores. CONCLUSION In our study, Mini-CEX scores depended rather on context characteristics than on students' clinical skills as demonstrated in an OSCE. Ways are discussed which focus on either to enhance the scores' validity or to use narrative comments only.

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Patients who had started HAART (Highly Active Anti-Retroviral Treatment) under previous aggressive DHHS guidelines (1997) underwent a life-long continuous HAART that was associated with many short term as well as long term complications. Many interventions attempted to reduce those complications including intermittent treatment also called pulse therapy. Many studies were done to study the determinants of rate of fall in CD4 count after interruption as this data would help guide treatment interruptions. The data set used here was a part of a cohort study taking place at the Johns Hopkins AIDS service since January 1984, in which the data were collected both prospectively and retrospectively. The patients in this data set consisted of 47 patients receiving via pulse therapy with the aim of reducing the long-term complications. ^ The aim of this project was to study the impact of virologic and immunologic factors on the rate of CD4 loss after treatment interruption. The exposure variables under investigation included CD4 cell count and viral load at treatment initiation. The rates of change of CD4 cell count after treatment interruption was estimated from observed data using advanced longitudinal data analysis methods (i.e., linear mixed model). Using random effects accounted for repeated measures of CD4 per person after treatment interruption. The regression coefficient estimates from the model was then used to produce subject specific rates of CD4 change accounting for group trends in change. The exposure variables of interest were age, race, and gender, CD4 cell counts and HIV RNA levels at HAART initiation. ^ The rate of fall of CD4 count did not depend on CD4 cell count or viral load at initiation of treatment. Thus these factors may not be used to determine who can have a chance of successful treatment interruption. CD4 and viral load were again studied by t-tests and ANOVA test after grouping based on medians and quartiles to see any difference in means of rate of CD4 fall after interruption. There was no significant difference between the groups suggesting that there was no association between rate of fall of CD4 after treatment interruption and above mentioned exposure variables. ^

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Health departments, research institutions, policy-makers, and healthcare providers are often interested in knowing the health status of their clients/constituents. Without the resources, financially or administratively, to go out into the community and conduct health assessments directly, these entities frequently rely on data from population-based surveys to supply the information they need. Unfortunately, these surveys are ill-equipped for the job due to sample size and privacy concerns. Small area estimation (SAE) techniques have excellent potential in such circumstances, but have been underutilized in public health due to lack of awareness and confidence in applying its methods. The goal of this research is to make model-based SAE accessible to a broad readership using clear, example-based learning. Specifically, we applied the principles of multilevel, unit-level SAE to describe the geographic distribution of HPV vaccine coverage among females aged 11-26 in Texas.^ Multilevel (3 level: individual, county, public health region) random-intercept logit models of HPV vaccination (receipt of ≥ 1 dose Gardasil® ) were fit to data from the 2008 Behavioral Risk Factor Surveillance System (outcome and level 1 covariates) and a number of secondary sources (group-level covariates). Sampling weights were scaled (level 1) or constructed (levels 2 & 3), and incorporated at every level. Using the regression coefficients (and standard errors) from the final models, I simulated 10,000 datasets for each regression coefficient from the normal distribution and applied them to the logit model to estimate HPV vaccine coverage in each county and respective demographic subgroup. For simplicity, I only provide coverage estimates (and 95% confidence intervals) for counties.^ County-level coverage among females aged 11-17 varied from 6.8-29.0%. For females aged 18-26, coverage varied from 1.9%-23.8%. Aggregated to the state level, these values translate to indirect state estimates of 15.5% and 11.4%, respectively; both of which fall within the confidence intervals for the direct estimates of HPV vaccine coverage in Texas (Females 11-17: 17.7%, 95% CI: 13.6, 21.9; Females 18-26: 12.0%, 95% CI: 6.2, 17.7).^ Small area estimation has great potential for informing policy, program development and evaluation, and the provision of health services. Harnessing the flexibility of multilevel, unit-level SAE to estimate HPV vaccine coverage among females aged 11-26 in Texas counties, I have provided (1) practical guidance on how to conceptualize and conduct modelbased SAE, (2) a robust framework that can be applied to other health outcomes or geographic levels of aggregation, and (3) HPV vaccine coverage data that may inform the development of health education programs, the provision of health services, the planning of additional research studies, and the creation of local health policies.^