Estimated Glomerular Filtration Rate Decline as a Predictor of Dialysis in Kidney Transplant Recipients

BACKGROUND: It is now common for individuals to require dialysis following the failure of a kidney transplant. Management of complications and preparation for dialysis are suboptimal in this group. To aid planning, it is desirable to estimate the time to dialysis requirement. The rate of decline in the estimated glomerular filtration rate (eGFR) may be used to this end.

METHODS: This study compared the rate of eGFR decline prior to dialysis commencement between individuals with failing transplants and transplant-naïve patients. The rate of eGFR decline was also compared between transplant recipients with and without graft failure. eGFR was calculated using the four-variable MDRD equation with rate of decline calculated by least squares linear regression.

RESULTS: The annual rate of eGFR decline in incident dialysis patients with graft failure exceeded that of the transplant-naïve incident dialysis patients. In the transplant cohort, the mean annual rate of eGFR decline prior to graft failure was 7.3 ml/min/1.73 m(2) compared to 4.8 ml/min/1.73 m(2) in the transplant-naïve group (p < 0.001) and 0.35 ml/min/1.73 m(2) in recipients without graft failure (p < 0.001). Factors associated with eGFR decline were recipient age, decade of transplantation, HLA mismatch and histological evidence of chronic immunological injury.

CONCLUSIONS: Individuals with graft failure have a rapid decline in eGFR prior to dialysis commencement. To improve outcomes, dialysis planning and management of chronic kidney disease complications should be initiated earlier than in the transplant-naïve population.

An HMM-based spectrum occupancy predictor for energy efficient cognitive radio

Spectrum sensing is the cornerstone of cognitive radio technology and refers to the process of obtaining awareness of the radio spectrum usage in order to detect the presence of other users. Spectrum sensing algorithms consume considerable energy and time. Prediction methods for inferring the channel occupancy of future time instants have been proposed as a means of improving performance in terms of energy and time consumption. This paper studies the performance of a hidden Markov model (HMM) spectrum occupancy predictor as well as the improvement in sensing energy and time consumption based on real occupancy data obtained in the 2.4GHz ISM band. Experimental results show that the HMM-based occupancy predictor outperforms a kth order Markov and a 1-nearest neighbour (1NN) predictor. Our study also suggests that by employing such a predictive scheme in spectrum sensing, an improvement of up to 66% can be achieved in the required sensing energy and time.

Abstract thinking: a predictor of modelling ability?

In this paper, we describe a study of the abstract thinking skills of a group of students studying object-oriented modelling as part of a Masters course. Abstract thinking has long been considered a core skill for computer scientists. This study is part of attempts to gather evidence about the link between abstract thinking skills and success in the Computer Science discipline. The results of this study show a positive correlation between the scores of the students in the abstract thinking test with the marks achieved in the module. However, the small numbers in the study mean that wider research is needed.

Serum estradiol: oocyte ratio as a predictor of reproductive outcome: an analysis of data from >9000 IVF cycles in the Republic of Ireland

Purpose The purpose of this study was to evaluate the serum estradiol (E2) per oocyte ratio (EOR) as a function of selected embryology events and reproductive outcomes with IVF. Methods This retrospective analysis included all IVF cycles where oocyte collection and fresh transfer occurred between January 2001 and November 2012 at a single institution. Patients were divided by three age groups (<35, 35–39, and ≥40 years) and further stratified into nine groups based on EOR (measured in pmol/L/oocyte). Terminal serum E2 (pmol/mL) was recorded on day of hCG trigger administration, and fertilization rate, cleavage rate, number of good quality embryos, and reproductive outcomes were recorded for each IVF cycle. Results During the study interval, 9109 oocyte retrievals were performed for 5499 IVF patients (mean = 1.7 cycles/patient). A total of 63.4 % of transfers were performed on day 3 (n = 4926), while 36.6 % were carried out on day 5 (n = 2843). Clinical pregnancy rates were highest in patients with EOR of 250–750 and declined as this ratio increased, independent of patient age. While the odds ratio (OR) for clinical pregnancy where EOR = 250–750 vs. EOR > 1500 was 3.4 (p < 0.001; 95 % CI 2.67–4.34), no statistically significant correlation was seen in fertilization, cleavage rates or number of good quality embryos as a function of EOR. Conclusions Predicting reproductive outcomes with IVF has great utility both for patients and providers. The former have the opportunity to build realistic expectations, and the latter are better able to counsel according to measured clinical parameters. A better understanding of follicular dynamics and ovarian response to gonadotropin stimulation could optimize IVF treatments going forward.

Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis

The recent developments on Hidden Markov Models (HMM) based speech synthesis showed that this is a promising technology fully capable of competing with other established techniques. However some issues still lack a solution. Several authors report an over-smoothing phenomenon on both time and frequencies which decreases naturalness and sometimes intelligibility. In this work we present a new vowel intelligibility enhancement algorithm that uses a discrete Kalman filter (DKF) for tracking frame based parameters. The inter-frame correlations are modelled by an autoregressive structure which provides an underlying time frame dependency and can improve time-frequency resolution. The system’s performance has been evaluated using objective and subjective tests and the proposed methodology has led to improved results.

Women's Attachment as a Predictor of Pain During Labour and Post-Delivery: a Prospective Observational Study

INTRODUCTION: Labour is considered to be one of the most painful and significant experiences in a woman's life. The aim of this study was to examine whether women's attachment style is a predictor of the pain experienced throughout labour and post-delivery. MATERIAL AND METHODS:Thirty-two pregnant women were assessed during the third trimester of pregnancy and during labour. Adult attachment was assessed with the Adult Attachment Scale ' Revised. The perceived intensity of labour pain was measured using a visual analogue scale for pain in the early stage of labour, throughout labour and post-delivery. RESULTS:Women with an insecure attachment style reported more pain at 3 cm of cervical dilatation (p < 0.05), before the administration of analgesia (p < 0.01) and post-delivery (p < 0.05) than those securely attached. In multivariate models, attachment style was a significant predictor of labour pain at 3 cm of cervical dilatation and before the first administration of analgesia but not of the perceived pain post-delivery. DISCUSSION: These findings confirm that labour pain is influenced by relevant psychological factors and suggest that a woman's attachment style may be a risk factor for greater pain during labour. CONCLUSION:Future studies in the context of obstetric pain may consider the attachment style as an indicator of individual differences in the pain response during labour. This may have important implications in anaesthesiology and to promote a relevant shift in institutional practices and therapeutic procedures.

IFN stimulated gene expression in the liver is a better predictor of treatment response in chronic hepatitis c than the IL28b (IFN lambda 3) genotype

Background: Therapy of chronic hepatitis C (CHC) with pegIFNa/ribavirin achieves sustained virologic response (SVR) in ~55%. Pre-activation of the endogenous interferon system in the liver is associated 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.

A biochemical predictor of performance during mesophilic anaerobic fermentation of starch wastewater

The aim of this study was to determine the potential of biochemical parameters, such as enzyme activity and adenosine triphosphate (ATP) levels, as monitors of process performance in the Upflow Anaerobic Sludge Blanket (UASB) reactor utilizing a starch wastewater. The acid and alkaline phosphatase activity and the ATP content of the UASB sludge were measured in response to changes in flow rate and nutrient loading. Conventional parameters of process performance, such as gas production, acetic acid production, COD, phosphorus, nitrogen and suspended solids loadings and % COD removal were also monitored. The response of both biochemical and conventional parameters to changing process conditions was then compared. Alkaline phosphatase activity exhibited the highest activity over the entire study perioda A high suspended solids loading was observed to upset the system in terms of gas production, acetic acid production and % COD removala The initial rate of increase in alkaline phosphatase activity following an increase in loading was four times as great during process upset than under conditions of good performance. The change in enzyme actiVity was also more sensitive to process upset than changes in acetic acid production. The change in ATP content of the sludge with time suggested that enzyme actiVity was changing independently of the actual viable biomass present. The bacterial composition of the anaerobic sludge granules was similar to that of other sludge bed systems, at the light and scanning electron microscope level. Isolated serum bottle cultures produced several acids involved in anaerobic carbohydrate metabolism. The overall performance of the UASB system indicated that higher loadings of soluble nutrients could have been tolerated by the system.

The effect of synchronized group activities on pain threshold as a predictor of cooperation

Recent research suggests that participating in vigorous synchronized physical activity may result in elevated levels of endorphins, which may in turn affect social bonding (Cohen et. al., 2009). The present research aimed to examine whether or not the change in pain tolerance would be able to predict participants’ willingness to cooperate after statistically controlling for the groups’ condition. Participants were asked to run on a treadmill for 30 minutes under one of two conditions (control vs. synchronized). Prior to and after the run participants underwent a pain tolerance test. Once completed, a second activity was introduced to the participants; a cooperative game. A public goods game was used to measure an individual’s willingness to cooperate. The results showed the synchronized condition was able to predict that participants cooperated more during the public goods game (p = .009), however the change in pain threshold was unable to significantly predict cooperation (p = .32).

Quadratic Predictor based Differential Encoding and Decoding of Speech Signals

Modeling nonlinear systems using Volterra series is a century old method but practical realizations were hampered by inadequate hardware to handle the increased computational complexity stemming from its use. But interest is renewed recently, in designing and implementing filters which can model much of the polynomial nonlinearities inherent in practical systems. The key advantage in resorting to Volterra power series for this purpose is that nonlinear filters so designed can be made to work in parallel with the existing LTI systems, yielding improved performance. This paper describes the inclusion of a quadratic predictor (with nonlinearity order 2) with a linear predictor in an analog source coding system. Analog coding schemes generally ignore the source generation mechanisms but focuses on high fidelity reconstruction at the receiver. The widely used method of differential pnlse code modulation (DPCM) for speech transmission uses a linear predictor to estimate the next possible value of the input speech signal. But this linear system do not account for the inherent nonlinearities in speech signals arising out of multiple reflections in the vocal tract. So a quadratic predictor is designed and implemented in parallel with the linear predictor to yield improved mean square error performance. The augmented speech coder is tested on speech signals transmitted over an additive white gaussian noise (AWGN) channel.

SA-ß-galactosidasa como predictor de senescencia celular del epitelio superficial ovárico y factores de riesgo de cáncer de ovario

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.

Agreement in interpersonal perception as a predictor of group performance

Resumen tomado de la publicaci??n

Dinamometría como examen predictor de desordenes musculoesqueléticos (DME) de miembros superiores en tabajadores del sector floricultor

RESUMEN Objetivo: Analizar el comportamiento de la sintomatología de los Desórdenes Músculo-esqueléticos (DME) de miembros superiores y determinar si la dinamometría es predictiva y sirve como soporte para el diagnostico de los mismos. Pacientes y Métodos: Se tomó una cohorte de 400 trabajadores de tres empresas del sector floricultor de la sabana de Bogotá en el año 2006, quienes fueron evaluados clínicamente por un médico especialista en salud ocupacional. Se seleccionaron 105 trabajadores que no presentaban síntomas osteomusculares de miembros superiores, a quienes se realizó seguimiento clínico y dinamometría anual hasta el año 2009. En cada evaluación se realizaron tres mediciones con el dinamómetro Dynatron® midiendo la fuerza de agarre en cada mano, tomando como dato final el promedio obtenido. Los datos fueron digitados en un base de Excel 2003 (Office®) y la depuración y el procesamiento fueron realizados en el programa estadístico de sobrevida. Resultados: El grupo de estudio estaba compuesto por 73 mujeres (69.5%) y 32 hombres (32.5%). La mano dominante fue la derecha en 99 trabajadores (94.3%). El índice de masa corporal (IMC) se encontró alterado revelando sobrepeso en 50 trabajadores (47.6%). Tenían una media de antigüedad en la empresa de 6,48 años y de 14.12 años de exposición en el sector floricultor. El promedio de la fuerza de agarre manual fue mayor para los hombres con respecto a las mujeres. Los primeros presentaron cifras; para la mano derecha de 105 libras y para la izquierda de 102 libras; en las mujeres fue de 62 libras para la mano derecha y de 61 libras para la izquierda. El 38.1% de la población estudiada desarrolló patologías osteomusculares de miembros superiores a lo largo de los 4 años de seguimiento, dentro de las cuales predominó la epicondilitis de miembro superior derecho, presentándose con mayor frecuencia en las mujeres. La probabilidad de supervivencia global para las mujeres fue 46,3% mientras que para los hombres fue de 81,6% a lo largo del tiempo de estudio con una p=0.0107. En el periodo de estudio las mujeres necesitaron aproximadamente de 38 meses para alcanzar el 50% de sobrevida. Para el género femenino el promedio de la fuerza de la mano derecha de 28 libras tiene una sensibilidad del 100% con una especificidad del 1%. En la mano izquierda el promedio de la fuerza de 30,0 libras tiene una sensibilidad del 100% y una especificidad del 1%. En los hombres se encontró que el promedio de fuerza de la mano derecha de 65 libras tiene una sensibilidad del 100% y una especificidad del 1% y de la mano izquierda de 66 libras tiene una sensibilidad del 100% y una especificidad del 1%. Conclusiones: Las lesiones osteomusculares presentaron altas incidencias en la población estudiada que no se relacionan con aspectos como IMC y tiempo de vida en el sector floricultor y las mujeres presentaron una probabilidad de supervivencia significativamente menor con respecto a los hombres. La dinamometría en valores bajos es un estudio que se correlaciona con la presencia de DME pero no tiene valor predictivo.