977 resultados para Predictor Variables


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El estudio pretende evaluar si variables de cognición social (el reconocimiento de emociones faciales) podrían ser un mejor predictor de funcionamiento social que la cognición básica, en las tempranas etapas de la enfermedad. Se seleccionó una muestra formada por 18 pacientes con un primer episodio psicótico y 18 participantes sanos emparejados por edad y género. Se administró una batería de variables clínicas, de funcionamiento social, cognición no social y social (reconocimiento de emociones faciales. Se encontró que Los déficits en medidas de reconocimiento de emociones faciales son un factor predictor del funcionamiento social, independiente de la cognición básica, incluso en estadios tempranos de la patología psicótica.

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BACKGROUND: Prognosis of status epilepticus (SE) depends on its cause, but there is uncertainty as to whether SE represents an independent outcome predictor for a given etiology. Cerebral anoxia is a relatively homogenous severe encephalopathy. Postanoxic SE is associated to a nearly 100% mortality in this setting; however, it is still unclear whether this is a severity marker of the underlying encephalopathy, or an independent factor influencing outcome. The goal of this study was to assess if postanoxic SE is independently associated with mortality after cerebral anoxia. METHODS: This was a retrospective observation of consecutive comatose survivors of cardiac arrest, including subjects treated with hypothermia. On the subgroup with EEG recordings in the first hospitalization days, univariate and multivariate analyses were applied to potential determinants of in-hospital mortality, and included the following variables: age, gender, type and length of cardiac arrest, occurrence of circulatory shock, presence of therapeutic hypothermia, and electrographic SE. RESULTS: Out of 166 postanoxic patients, 107 (64%) had an EEG (median latency from admission, 2 days); in this group, therapeutic hypothermia was administered in 59%. Death occurred in 71 (67%) patients. Postanoxic SE was associated with mortality regardless of type of acute cardiac rhythm and administration of hypothermic treatment. CONCLUSION: In this hospital-based cohort, postanoxic status epilepticus (SE) seems to be independently related to death in cardiac arrest survivors, suggesting that SE might determine a bad prognosis for a given etiology. Confirmation of these results in a prospective assessment is needed.

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For glioblastoma (GBM), survival classification has primarily relied on clinical criteria, exemplified by the Radiation Therapy Oncology Group (RTOG) recursive partitioning analysis (RPA). We sought to improve tumor classification by combining tumor biomarkers with the clinical RPA data. To accomplish this, we first developed 4 molecular biomarkers derived from gene expression profiling, a glioma CpG island methylator phenotype, a novel MGMT promoter methylation assay, and IDH1 mutations. A molecular predictor (MP) model was created with these 4 biomarkers on a training set of 220 retrospectively collected archival GBMtumors. ThisMPwas further combined with RPA classification to develop a molecular-clinical predictor (MCP). The median survivals for the combined, 4-class MCP were 65 months, 31 months, 13 months, and 9 months, which was significantly improved when compared with the RPA alone. The MCP was then applied to 725 samples from the RTOG-0525 cohort, showing median survival for each risk group of NR, 26 months, 16 months, and 11 months. The MCP was significantly improved over the RPA at outcome prediction in the RTOG 0525 cohort with a 33%increase in explained variation with respect to survival, validating the result obtained in the training set. To illustrate the benefit of the MCP for patient stratification, we examined progression-free survival (PFS) for patients receiving standard-dose temozolomide (SD-TMZ) vs. dose-dense TMZ (DD-TMZ) in RPA and MCP risk groups. A significant difference between DD-TMZ and SD-TMZ was observed in the poorest surviving MCP risk group with a median PFS of 6 months vs. 3 months (p ¼ 0.048, log-rank test). This difference was not seen using the RPA classification alone. In summary, we have developed a combined molecular-clinical predictor that appears to improve outcome prediction when compared with clinical variables alone. This MCP may serve to better identify patients requiring intensive treatments beyond the standard of care.

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BACKGROUND & AIMS: The host immune response during the chronic phase of hepatitis C virus infection varies among individuals; some patients have a no interferon (IFN) response in the liver, whereas others have full activation IFN-stimulated genes (ISGs). Preactivation of this endogenous IFN system is associated with nonresponse to pegylated IFN-α (pegIFN-α) and ribavirin. Genome-wide association studies have associated allelic variants near the IL28B (IFNλ3) gene with treatment response. We investigated whether IL28B genotype determines the constitutive expression of ISGs in the liver and compared the abilities of ISG levels and IL28B genotype to predict treatment outcome. METHODS: We genotyped 109 patients with chronic hepatitis C for IL28B allelic variants and quantified the hepatic expression of ISGs and of IL28B. Decision tree ensembles, in the form of a random forest classifier, were used to calculate the relative predictive power of these different variables in a multivariate analysis. RESULTS: The minor IL28B allele was significantly associated with increased expression of ISG. However, stratification of the patients according to treatment response revealed increased ISG expression in nonresponders, irrespective of IL28B genotype. Multivariate analysis of ISG expression, IL28B genotype, and several other factors associated with response to therapy identified ISG expression as the best predictor of treatment response. CONCLUSIONS: IL28B genotype and hepatic expression of ISGs are independent predictors of response to treatment with pegIFN-α and ribavirin in patients with chronic hepatitis C. The most accurate prediction of response was obtained with a 4-gene classifier comprising IFI27, ISG15, RSAD2, and HTATIP2.

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When can a single variable be more accurate in binary choice than multiple sources of information? We derive analytically the probability that a single variable (SV) will correctly predict one of two choices when both criterion and predictor are continuous variables. We further provide analogous derivations for multiple regression (MR) and equal weighting (EW) and specify the conditions under which the models differ in expected predictive ability. Key factors include variability in cue validities, intercorrelation between predictors, and the ratio of predictors to observations in MR. Theory and simulations are used to illustrate the differential effects of these factors. Results directly address why and when one-reason decision making can be more effective than analyses that use more information. We thus provide analytical backing to intriguing empirical results that, to date, have lacked theoretical justification. There are predictable conditions for which one should expect less to be more.

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Questions Soil properties have been widely shown to influence plant growth and distribution. However, the degree to which edaphic variables can improve models based on topo-climatic variables is still unclear. In this study, we tested the roles of seven edaphic variables, namely (1) pH; (2) the content of nitrogen and of (3) phosphorus; (4) silt; (5) sand; (6) clay and (7) carbon-to-nitrogen ratio, as predictors of species distribution models in an edaphically heterogeneous landscape. We also tested how the respective influence of these variables in the models is linked to different ecological and functional species characteristics. Location The Western Alps, Switzerland. Methods With four different modelling techniques, we built models for 115 plant species using topo-climatic variables alone and then topo-climatic variables plus each of the seven edaphic variables, one at a time. We evaluated the contribution of each edaphic variable by assessing the change in predictive power of the model. In a second step, we evaluated the importance of the two edaphic variables that yielded the largest increase in predictive power in one final set of models for each species. Third, we explored the change in predictive power and the importance of variables across plant functional groups. Finally, we assessed the influence of the edaphic predictors on the prediction of community composition by stacking the models for all species and comparing the predicted communities with the observed community. Results Among the set of edaphic variables studied, pH and nitrogen content showed the highest contributions to improvement of the predictive power of the models, as well as the predictions of community composition. When considering all topo-climatic and edaphic variables together, pH was the second most important variable after degree-days. The changes in model results caused by edaphic predictors were dependent on species characteristics. The predictions for the species that have a low specific leaf area, and acidophilic preferences, tolerating low soil pH and high humus content, showed the largest improvement by the addition of pH and nitrogen in the model. Conclusions pH was an important predictor variable for explaining species distribution and community composition of the mountain plants considered in our study. pH allowed more precise predictions for acidophilic species. This variable should not be neglected in the construction of species distribution models in areas with contrasting edaphic conditions.

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The aim of this study is to contribute to a better understanding of the risk factors associated with school burnout, which has recently been described as a syndrome of emotional exhaustion due to school demands, cynical and detached attitude towards school and feelings of inadequacy as a student (Salmela-Aro, Kiuru, Pietikainen & Jokela, 2008a). The research focuses on students in the last years of compulsory schooling, period in which burnout has not received much attention yet. A total of 342 adolescents (Mean age = 14.84) were asked to complete questionnaires about school burnout, school-related stress and background variables. The results showed differences in school burnout by gender, grade level and school track, with girls, last grade of compulsory school and high-track classes, showing the highest scores. No difference was observed with respect to grade retention. Several types of school stress were identified, with stress type Success related to pressures to succeed and concerns about the academic future being the highest. Finally, stress and burnout were strongly and positively correlated, and the type of stress Success was the best predictor of overall Burnout, Exhaustion and Inadequacy dimension scores. The results are discussed in relation to their theoretical relevance and implications for the prevention of school burnout in adolescents.

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The Cognitive Reflection Test (CRT) is a test introduced by S. Frederick (2005) Cognitive reflection and decision making, J Econ Perspect 19(4): 25-42. The task is designed to measure the tendency to override an intuitive response that is incorrect and to engage in further reflection that leads to the correct response. The consistent sex differences in CRT performance may suggest a role for gonadal hormones, particularly testosterone. A now widely studied putative marker for fetal testosterone is the second-to-fourth digit ratio (2D:4D). This paper tests to what extent 2D:4D, as a proxy for prenatal exposure to testosterone, can predict CRT scores in a sample of 623 students. After controlling for sex, we observe that a lower 2D:4D (reflecting a higher exposure to testosterone) is significantly associated with a higher number of correct answers. The result holds for both hands? 2D:4Ds. In addition, the effect appears to be sharper for females than for males. We also control for patience and math proficiency, which are significantly related to performance in the CRT. But the effect of 2D:4D on performance in CRT is not reduced with these controls, implying that these variables are not mediating the relationship between digit ratio and CRT.

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BACKGROUND: Therapy of chronic hepatitis C (CHC) with pegIFNα/ribavirin achieves a sustained virologic response (SVR) in ∼55%. Pre-activation of the endogenous interferon system in the liver is associated with non-response (NR). Recently, genome-wide association studies described associations of allelic variants near the IL28B (IFNλ3) gene with treatment response and with spontaneous clearance of the virus. We investigated if the IL28B genotype determines the constitutive expression of IFN stimulated genes (ISGs) in the liver of patients with CHC. METHODS: We genotyped 93 patients with CHC for 3 IL28B single nucleotide polymorphisms (SNPs, rs12979860, rs8099917, rs12980275), extracted RNA from their liver biopsies and quantified the expression of IL28B and of 8 previously identified classifier genes which discriminate between SVR and NR (IFI44L, RSAD2, ISG15, IFI22, LAMP3, OAS3, LGALS3BP and HTATIP2). Decision tree ensembles in the form of a random forest classifier were used to calculate the relative predictive power of these different variables in a multivariate analysis. RESULTS: The minor IL28B allele (bad risk for treatment response) was significantly associated with increased expression of ISGs, and, unexpectedly, with decreased expression of IL28B. Stratification of the patients into SVR and NR revealed that ISG expression was conditionally independent from the IL28B genotype, i.e. there was an increased expression of ISGs in NR compared to SVR irrespective of the IL28B genotype. The random forest feature score (RFFS) identified IFI27 (RFFS = 2.93), RSAD2 (1.88) and HTATIP2 (1.50) expression and the HCV genotype (1.62) as the strongest predictors of treatment response. ROC curves of the IL28B SNPs showed an AUC of 0.66 with an error rate (ERR) of 0.38. A classifier with the 3 best classifying genes showed an excellent test performance with an AUC of 0.94 and ERR of 0.15. The addition of IL28B genotype information did not improve the predictive power of the 3-gene classifier. CONCLUSIONS: IL28B genotype and hepatic ISG expression are conditionally independent predictors of treatment response in CHC. There is no direct link between altered IFNλ3 expression and pre-activation of the endogenous system in the liver. Hepatic ISG expression is by far the better predictor for treatment response than IL28B genotype.

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Increased proteinuria is recognized as a risk predictor for all-cause and cardiovascular mortality in diabetic patients; however, no study has evaluated these relationships in Brazilian patients. The aim of this study was to investigate the prognostic value of gross proteinuria for all-cause and cardiovascular mortalities and for cardiovascular morbidity in a cohort study of 471 type 2 diabetic individuals followed for up to 7 years. Several clinical, laboratory and electrocardiographic variables were obtained at baseline. The relative risks for all-cause, cardiovascular and cardiac mortalities and for cardiovascular and cardiac events associated with the presence of overt proteinuria (>0.5 g/24 h) were assessed by Kaplan-Meier survival curves and by multivariate Cox regression model. During a median follow-up of 57 months (range 2-84 months), 121 patients (25.7%) died, 44 from cardiovascular and 30 from cardiac causes, and 106 fatal or non-fatal cardiovascular events occurred. Gross proteinuria was an independent risk predictor of all-cause, cardiovascular and cardiac mortalities and of cardiovascular morbidity with adjusted relative risks ranging from 1.96 to 4.38 for the different endpoints. This increased risk remained significant after exclusion of patients with prior cardiovascular disease at baseline from the multivariate analysis. In conclusion, gross proteinuria was a strong predictor of all-cause, cardiovascular and cardiac mortalities and also of cardiovascular morbidity in a Brazilian cohort of type 2 diabetic patients. Intervention studies are necessary to determine whether the reduction of proteinuria can decrease morbidity and mortality of type 2 diabetes in Brazil.

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Interstitial fibrosis and tubular atrophy (IF/TA) are the most common cause of renal graft failure. Chronic transplant glomerulopathy (CTG) is present in approximately 1.5-3.0% of all renal grafts. We retrospectively studied the contribution of CTG and recurrent post-transplant glomerulopathies (RGN) to graft loss. We analyzed 123 patients with chronic renal allograft dysfunction and divided them into three groups: CTG (N = 37), RGN (N = 21), and IF/TA (N = 65). Demographic data were analyzed and the variables related to graft function identified by statistical methods. CTG had a significantly lower allograft survival than IF/TA. In a multivariate analysis, protective factors for allograft outcomes were: use of angiotensin-converting enzyme inhibitor (ACEI; hazard ratio (HR) = 0.12, P = 0.001), mycophenolate mofetil (MMF; HR = 0.17, P = 0.026), hepatitis C virus (HR = 7.29, P = 0.003), delayed graft function (HR = 5.32, P = 0.016), serum creatinine ≥1.5 mg/dL at the 1st year post-transplant (HR = 0.20, P = 0.011), and proteinuria ≥0.5 g/24 h at the 1st year post-transplant (HR = 0.14, P = 0.004). The presence of glomerular damage is a risk factor for allograft loss (HR = 4.55, P = 0.015). The presence of some degree of chronic glomerular damage in addition to the diagnosis of IF/TA was the most important risk factor associated with allograft loss since it could indicate chronic active antibody-mediated rejection. ACEI and MMF were associated with better outcomes, indicating that they might improve graft survival.

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Introducción: la tercera causa de muerte ginecológica es cáncer de ovario (CO), la detección temprana es fundamental para reducir mortalidad. El objetivo es establecer asociación entre senescencia en cultivos de tejido epitelial de ovario (ESO) mediante expresión de enzima ßgalactosidasa/normalizada y factores de riesgo reconocidos para CO. Métodos: estudio descriptivo observacional con fase exploratoria de datos proporcionados por “TRF2” segunda fase; muestra 29 tejidos de mujeres con ooforectomia condiciones benignas, analizadas estadísticamente con confianza del 95%, software SPSS versión 17, datos se presentan con desviación estándar, promedio, mediana (velocidad de crecimiento celular y ßgal/Normalizada) y porcentajes (variables categóricas). Realizo comparación con t-student, test de normalidad con Shapiro Wilks y asociación mediante análisis multivariado. Resultados: encuentra evidencia estadísticamente significativa (p < 0,05) para asociación entre antecedente familiar de otros tipos de cáncer con cáncer gástrico (IC95%: -2,84, -0,23) y cáncer de seno (IC95%: -3,39, -0,38); no tener régimen de afiliación en salud (vinculado) (IC95%: -3,67 -0,014); uso de método anticonceptivo de barrera (IC95%: -3,95, -0,07); consumo de embutidos (IC95%: -3,30, -0,21) y enlatados (IC95%: -3,62, -0,030) 1 a 3 veces/semana y consumo de alcohol (IC95%: -2,33, -0,33) con aumento expresión ßgal/Normalizada. Discusión: senescencia es antitumorigénica a edades tempranas, en avanzadas es protumorigénica, cuando hay mucha acumulación de células senescentes en tejido, éstas cambian su perfil senector produciendo sustancias que afectan a las vecinas, lo que lleva a transformación tumoral. Esta investigación es novedosa.

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La búsqueda de información basada en las diferentes herramientas que el mercado ha desarrollado, ha convertido a la curva de rendimientos en una de las más utilizadas. Diferentes autores a nivel internacional se han preocupado por investigar y extraer información, teniendo en cuenta la formación de expectativas de los agentes sobre las tasas de interés, el comportamiento de diferentes variables macroeconómicas como el producto y la inflación. La evidencia encontrada es muy amplia, aunque no siempre en la misma vía. A nivel nacional, pocos autores se han preocupado por indagar sobre la curva de rendimientos como posible herramienta para predecir el comportamiento de variables macroeconómicas. Una posible explicación se relaciona con el hecho de que las bases de datos de la curva de rendimientos son muy recientes y la calidad de los datos no siempre es óptima debido al reciente desarrollo de los mercados financieros en Colombia. Sin embargo, la evidencia obtenida a través de estos estudios es valiosa.

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La inducción del trabajo de parto ha demostrado aumentar simultáneamente las tasas de cesárea, especialmente en nulíparas con cérvix clínicamente desfavorables. Ya que la valoración clínica del cérvix es un método subjetivo, aunque ampliamente utilizado, el objetivo del presente estudio fue determinar la utilidad de la medición ecográfica de la longitud cervical comparándola con el puntaje de Bishop, en la predicción del éxito de la inducción del parto en las pacientes nulíparas en el servicio de Obstetricia del Hospital Universitario Clínica San Rafael, Bogotá. Materiales y métodos: Se realizó un estudio observacional, evaluando una cohorte prospectiva de 80 gestantes a quienes se les realizó valoración ultrasonográfica y clínica del cérvix antes de iniciar la inducción del trabajo de parto. Resultados: El análisis bivariado demostró que las pacientes con longitud cervical >20mm tienen 1.57 veces la probabilidad de tener parto por cesárea (RR 1.57 IC95% 1.03-2.39 p <0.05). De manera similar las pacientes con puntaje de Bishop 0 a 3 tienen 2.33 veces la probabilidad de tener parto por cesárea (RR 2.33 IC95% 1.28-4.23 p <0.05). La regresión logística binaria demostró que la edad materna y la longitud cervical fueron los únicos parámetros independientes con significancia estadística para predecir el éxito de la inducción. Conclusiones: La medición ecográfica de la longitud cervical tiene mayor utilidad que la valoración clínica del cérvix en la predicción del éxito de la inducción del parto en nulíparas.

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Las decisiones terapéuticas en los hospitales están basadas en su nivel de complejidad más que en las condiciones particulares de cada paciente. No existen escalas de evaluación universales y reproducibles que permitan estratificar a los pacientes de acuerdo a su estado y riesgo de mortalidad y consecuentemente tomar decisiones. En el hospital Universitario Mayor hemos diseñado una escala basada en la escala PSI/PORT para clasificar a nuestros pacientes. Materiales y métodos: Se realizó un estudio de cohortes retrospectivas en el cual se aplicó la escala PORT modificada en pacientes quirúrgicos egresados vivos y fallecidos. Se evaluó cada una de las variables de la escala y su asociación con la muerte por medio de tablas de chi cuadrado y análisis de regresión logística. Se analizaron tablas de sensibilidad y especificidad de la escala y se determinó el índice de correlación de la misma. Resultados: La escala PORT modificada tiene una alta correlación con el riesgo de mortalidad en pacientes quirúrgicos según nuestro estudio. Sin embargo, dicha correlación es menor que la encontrada en un estudio previo realizado en pacientes con patología médica. Discusión: Se puede estratificar a los pacientes con patología quirúrgica por medio de la escala PORT modificada. Se recomienda aplicar la escala a un grupo mayor de pacientes con patología médica y quirúrgica e incluir en la escala una variable que implique el tiempo de evolución de la enfermedad.