Exploring the potential role of allostatic load biomarkers in risk assessment of patients presenting with depressive symptoms

Background: Depression is a major health problem worldwide and the majority of patients presenting with depressive symptoms are managed in primary care. Current approaches for assessing depressive symptoms in primary care are not accurate in predicting future clinical outcomes, which may potentially lead to over or under treatment. The Allostatic Load (AL) theory suggests that by measuring multi-system biomarker levels as a proxy of measuring multi-system physiological dysregulation, it is possible to identify individuals at risk of having adverse health outcomes at a prodromal stage. Allostatic Index (AI) score, calculated by applying statistical formulations to different multi-system biomarkers, have been associated with depressive symptoms. Aims and Objectives: To test the hypothesis, that a combination of allostatic load (AL) biomarkers will form a predictive algorithm in defining clinically meaningful outcomes in a population of patients presenting with depressive symptoms. The key objectives were: 1. To explore the relationship between various allostatic load biomarkers and prevalence of depressive symptoms in patients, especially in patients diagnosed with three common cardiometabolic diseases (Coronary Heart Disease (CHD), Diabetes and Stroke). 2 To explore whether allostatic load biomarkers predict clinical outcomes in patients with depressive symptoms, especially in patients with three common cardiometabolic diseases (CHD, Diabetes and Stroke). 3 To develop a predictive tool to identify individuals with depressive symptoms at highest risk of adverse clinical outcomes. Methods: Datasets used: ‘DepChron’ was a dataset of 35,537 patients with existing cardiometabolic disease collected as a part of routine clinical practice. ‘Psobid’ was a research data source containing health related information from 666 participants recruited from the general population. The clinical outcomes for 3 both datasets were studied using electronic data linkage to hospital and mortality health records, undertaken by Information Services Division, Scotland. Cross-sectional associations between allostatic load biomarkers calculated at baseline, with clinical severity of depression assessed by a symptom score, were assessed using logistic and linear regression models in both datasets. Cox’s proportional hazards survival analysis models were used to assess the relationship of allostatic load biomarkers at baseline and the risk of adverse physical health outcomes at follow-up, in patients with depressive symptoms. The possibility of interaction between depressive symptoms and allostatic load biomarkers in risk prediction of adverse clinical outcomes was studied using the analysis of variance (ANOVA) test. Finally, the value of constructing a risk scoring scale using patient demographics and allostatic load biomarkers for predicting adverse outcomes in depressed patients was investigated using clinical risk prediction modelling and Area Under Curve (AUC) statistics. Key Results: Literature Review Findings. The literature review showed that twelve blood based peripheral biomarkers were statistically significant in predicting six different clinical outcomes in participants with depressive symptoms. Outcomes related to both mental health (depressive symptoms) and physical health were statistically associated with pre-treatment levels of peripheral biomarkers; however only two studies investigated outcomes related to physical health. Cross-sectional Analysis Findings: In DepChron, dysregulation of individual allostatic biomarkers (mainly cardiometabolic) were found to have a non-linear association with increased probability of co-morbid depressive symptoms (as assessed by Hospital Anxiety and Depression Score HADS-D≥8). A composite AI score constructed using five biomarkers did not lead to any improvement in the observed strength of the association. In Psobid, BMI was found to have a significant cross-sectional association with the probability of depressive symptoms (assessed by General Health Questionnaire GHQ-28≥5). BMI, triglycerides, highly sensitive C - reactive 4 protein (CRP) and High Density Lipoprotein-HDL cholesterol were found to have a significant cross-sectional relationship with the continuous measure of GHQ-28. A composite AI score constructed using 12 biomarkers did not show a significant association with depressive symptoms among Psobid participants. Longitudinal Analysis Findings: In DepChron, three clinical outcomes were studied over four years: all-cause death, all-cause hospital admissions and composite major adverse cardiovascular outcome-MACE (cardiovascular death or admission due to MI/stroke/HF). Presence of depressive symptoms and composite AI score calculated using mainly peripheral cardiometabolic biomarkers was found to have a significant association with all three clinical outcomes over the following four years in DepChron patients. There was no evidence of an interaction between AI score and presence of depressive symptoms in risk prediction of any of the three clinical outcomes. There was a statistically significant interaction noted between SBP and depressive symptoms in risk prediction of major adverse cardiovascular outcome, and also between HbA1c and depressive symptoms in risk prediction of all-cause mortality for patients with diabetes. In Psobid, depressive symptoms (assessed by GHQ-28≥5) did not have a statistically significant association with any of the four outcomes under study at seven years: all cause death, all cause hospital admission, MACE and incidence of new cancer. A composite AI score at baseline had a significant association with the risk of MACE at seven years, after adjusting for confounders. A continuous measure of IL-6 observed at baseline had a significant association with the risk of three clinical outcomes- all-cause mortality, all-cause hospital admissions and major adverse cardiovascular event. Raised total cholesterol at baseline was associated with lower risk of all-cause death at seven years while raised waist hip ratio- WHR at baseline was associated with higher risk of MACE at seven years among Psobid participants. There was no significant interaction between depressive symptoms and peripheral biomarkers (individual or combined) in risk prediction of any of the four clinical outcomes under consideration. Risk Scoring System Development: In the DepChron cohort, a scoring system was constructed based on eight baseline demographic and clinical variables to predict the risk of MACE over four years. The AUC value for the risk scoring system was modest at 56.7% (95% CI 55.6 to 57.5%). In Psobid, it was not possible to perform this analysis due to the low event rate observed for the clinical outcomes. Conclusion: Individual peripheral biomarkers were found to have a cross-sectional association with depressive symptoms both in patients with cardiometabolic disease and middle-aged participants recruited from the general population. AI score calculated with different statistical formulations was of no greater benefit in predicting concurrent depressive symptoms or clinical outcomes at follow-up, over and above its individual constituent biomarkers, in either patient cohort. SBP had a significant interaction with depressive symptoms in predicting cardiovascular events in patients with cardiometabolic disease; HbA1c had a significant interaction with depressive symptoms in predicting all-cause mortality in patients with diabetes. Peripheral biomarkers may have a role in predicting clinical outcomes in patients with depressive symptoms, especially for those with existing cardiometabolic disease, and this merits further investigation.

Estimation of whole body muscle, adipose/fat mass, validation in health and during weight loss. Development of prediction equations using MRI as reference method

Background: Body composition is affected by diseases, and affects responses to medical treatments, dosage of medicines, etc., while an abnormal body composition contributes to the causation of many chronic diseases. While we have reliable biochemical tests for certain nutritional parameters of body composition, such as iron or iodine status, and we have harnessed nuclear physics to estimate the body’s content of trace elements, the very basic quantification of body fat content and muscle mass remains highly problematic. Both body fat and muscle mass are vitally important, as they have opposing influences on chronic disease, but they have seldom been estimated as part of population health surveillance. Instead, most national surveys have merely reported BMI and waist, or sometimes the waist/hip ratio; these indices are convenient but do not have any specific biological meaning. Anthropometry offers a practical and inexpensive method for muscle and fat estimation in clinical and epidemiological settings; however, its use is imperfect due to many limitations, such as a shortage of reference data, misuse of terminology, unclear assumptions, and the absence of properly validated anthropometric equations. To date, anthropometric methods are not sensitive enough to detect muscle and fat loss. Aims: The aim of this thesis is to estimate Adipose/fat and muscle mass in health disease and during weight loss through; 1. evaluating and critiquing the literature, to identify the best-published prediction equations for adipose/fat and muscle mass estimation; 2. to derive and validate adipose tissue and muscle mass prediction equations; and 3.to evaluate the prediction equations along with anthropometric indices and the best equations retrieved from the literature in health, metabolic illness and during weight loss. Methods: a Systematic review using Cochrane Review method was used for reviewing muscle mass estimation papers that used MRI as the reference method. Fat mass estimation papers were critically reviewed. Mixed ethnic, age and body mass data that underwent whole body magnetic resonance imaging to quantify adipose tissue and muscle mass (dependent variable) and anthropometry (independent variable) were used in the derivation/validation analysis. Multiple regression and Bland-Altman plot were applied to evaluate the prediction equations. To determine how well the equations identify metabolic illness, English and Scottish health surveys were studied. Statistical analysis using multiple regression and binary logistic regression were applied to assess model fit and associations. Also, populations were divided into quintiles and relative risk was analysed. Finally, the prediction equations were evaluated by applying them to a pilot study of 10 subjects who underwent whole-body MRI, anthropometric measurements and muscle strength before and after weight loss to determine how well the equations identify adipose/fat mass and muscle mass change. Results: The estimation of fat mass has serious problems. Despite advances in technology and science, prediction equations for the estimation of fat mass depend on limited historical reference data and remain dependent upon assumptions that have not yet been properly validated for different population groups. Muscle mass does not have the same conceptual problems; however, its measurement is still problematic and reference data are scarce. The derivation and validation analysis in this thesis was satisfactory, compared to prediction equations in the literature they were similar or even better. Applying the prediction equations in metabolic illness and during weight loss presented an understanding on how well the equations identify metabolic illness showing significant associations with diabetes, hypertension, HbA1c and blood pressure. And moderate to high correlations with MRI-measured adipose tissue and muscle mass before and after weight loss. Conclusion: Adipose tissue mass and to an extent muscle mass can now be estimated for many purposes as population or groups means. However, these equations must not be used for assessing fatness and categorising individuals. Further exploration in different populations and health surveys would be valuable.

Efecto de la educación nutricional y actividad física sobre los parámetros antropométricos en el personal de contrato colectivo con sobrepeso y obesidad del Hospital Homero Castanier Crespo, Azogues abril – octubre 2015

OBJETIVO Identificar el efecto de la educación nutricional y actividad física sobre los parámetros antropométricos en el personal de contrato colectivo con sobrepeso y obesidad del Hospital Homero Castanier Crespo METODOLOGÍA: Estudio descriptivo con un componente de intervención – acción. Para determinar el grupo de estudio se realizó una evaluación del estado nutricional a todo el personal. Al final la muestra fue de 67 personas con sobrepeso y obesidad que firmaron el consentimiento informado. Se aplicaron encuestas de conocimientos, actitudes y prácticas alimentarias y de actividad física al inicio y al final del estudio. Posteriormente se realizó un programa de educación nutricional a través de charlas y talleres semanales. Se incluyeron sesiones de actividad física mediante bailoterapias, pausas activas y ejercicios aeróbicos dos veces por semana. Al concluir el estudio se realizó una evaluación antropométrica final. RESULTADOS: Al final del estudio la población intervenida mostró una reducción en el promedio de las variables: peso, Índice de Masa Corporal (IMC) e índice de cintura /cadera, observándose un descenso significativo del peso inicial (70,7kg) en comparación con peso final (68,6kg). Además se destaca la reducción del IMC (29,67kg/m2) en comparación con el IMC final (28,7kg/m2). En cuanto al índice de cintura/cadera el promedio se redujo de 0,93 a 0,92cm. CONCLUSIÓN: La educación nutricional sumada la actividad física tiene efecto positivo sobre la reducción de medidas antropométricas, además de cambios favorables en los conocimientos, actitudes y prácticas alimentarias

Normative reference values for the 20-meter shuttlerun test in a population-based sample of schoolchildren in Bogota, Colombia: The FUPRECOL Study

Our aim was to determine the normative reference values of cardiorespiratory fitness (CRF) and to establish the proportion of subjects with low CRF suggestive of future cardio-metabolic risk.

Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia: The FUPRECOL Study

In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different operational definitions for these age groups and to examine the associated variables. A total of 673 children and 1,247 adolescents attending public schools in Bogota (54.4% girls; age range 9–17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the IDF, Cook et al., Ford et al., and de Ferranti et al. definitions, respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were abdominal obesity and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. In conclusion, MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity.

Triceps and subscapular skinfold thicknesses percentiles and cut-offs for overweight and obesity in a population-based sample of schoolchildren in Bogota, Colombia

OBJECTIVES: The aims of this study were to establish a Colombian smoothed centile charts and LMS tables for tríceps, subscapular and sum tríceps+subscapular skinfolds; appropriate cut-offs were selected using receiver operating characteristic analysis based in a populationbased sample of schoolchildren in Bogota, Colombia and to compare them with international studies. METHODS: A total of 9 618 children and adolescents attending public schools in Bogota, Colombia (55.7% girls; age range of 9–17.9 years). Height, weight, body mass index (BMI), waist circumference, triceps and subscapular skinfold measurements were obtained using standardized methods. We have calculated tríceps+subscapular skinfold (T+SS) sum. Smoothed percentile curves for triceps and subscapular skinfold thickness were derived by the LMS method. Receiver operating characteristics curve (ROC) analyses were used to evaluate the optimal cut-off point of tríceps, subscapular and sum tríceps+subscapular skinfolds for overweight and obesity based on the International Obesity Task Force (IOTF) definitions. Data were compared with international studies. RESULTS: Subscapular, triceps skinfolds and T+SS were significantly higher in girls than in boys (P <0.001). The median values for triceps, subscapular as well as T+SS skinfold thickness increased in a sex-specific pattern with age. The ROC analysis showed that subscapular, triceps skinfolds and T+SS have a high discrimination power in the identification of overweight and obesity in the sample population in this study. Based on the raw non-adjusted data, we found that Colombian boys and girls had high triceps and subscapular skinfolds values than their counterparts from Spain, UK, German and US. CONCLUSIONS: Our results provide sex- and age-specific normative reference standards for the triceps and subscapular skinfold thickness values in a large, population-based sample of 3 schoolchildren and adolescents from an Latin-American population. By providing LMS tables for Latin-American people based on Colombian reference data, we hope to provide quantitative tools for the study of obesity and its complications.

Factores asociados al desplazamiento activo en bicicleta al colegio en el Distrito Bogotá, Colombia. Estudio FUPRECOL

Introducción: El transporte activo (TA) puede ser una oportunidad para incrementar los niveles de actividad física diarios de los niños y adolescentes, además de destacarse como una estrategia práctica, accesible y sostenible a largo plazo. Objetivos: El objetivo del presente estudio es doble: Analizar los patrones de desplazamiento activo en bicicleta al y desde el centro educativo, y b) Identificar los factores asociados al uso de la bicicleta como TA; en una muestra de niños y jóvenes pertenecientes a escuelas oficiales de Bogotá, Colombia. Material y métodos: Se trata de un sub-análisis del estudio FUPRECOL en 8060 niños y adolescentes entre los 9-17 años de edad). El modo de desplazamiento del escolar fue determinado a través de la pregunta: “¿Durante los últimos 7 días, usaste bicicleta para ir al colegio/escuela y volver a la casa?. Dicha respuesta se categorizó en activos “Si” (si se desplazan en bicicleta) y pasivos “No” (si se desplazan en vehículo motorizado). Se midieron parámetros antropométricos de peso, talla y perímetro de cintura. El máximo nivel de estudios alcanzados por la madre/padre (no reporta, primaria o secundaria/técnico o tecnólogo/universitario o postgrado) y la composición del hogar (vive con padre/vive con madre/con ambos padres/con abuelos/otros familiares) se auto-reportó por los padres. Las relaciones entre el TA y los factores anteriormente descritos se analizaron mediante regresión logística binaria. Resultados: El 21,9% del total de la muestra reporta usar la bicicleta como medio de transporte y el 7,9% acumula más de 120 minutos al día. Se observó una mayor probabilidad de usar la bicicleta como medio de desplazamiento activo a la escuela en los varones, en los jóvenes entre 9 y 12 años, y en aquellos cuyo padre/madre reportaron mayor grado académico, es decir, “universitario/postgrado”. 3 Conclusión: Los hallazgos del presente estudio sugieren que es necesario promover el TA desde la niñez, poniendo mayor énfasis en el paso a la adolescencia y en las jóvenes, para así aumentar los niveles diarios de AF de estos.

Au1to-reporte de la condición física relacionada con la salud en una muestra de escolares del distrito Bogotá: estudio FUPRECOL

Introducción y objetivo: La escala de auto-reporte de la condición física (IFIS) “The International FItness Scale”, fue creada como parte del proyecto financiado por la unión europea HELENA Study “Healthy Lifestyle in Europe by Nutrition in Adolescence”. A la fecha, no se conoce ningún estudio que haya examinado el auto-reporte de la condición física en un contexto distinto al Europeo. Este trabajo evalúa por auto-reporte la condición física relacionada con la salud (CFRS) en una muestra de niños y adolescentes del distrito de Bogotá pertenecientes al grupo FUPRECOL. Materiales y Método: Estudio transversal en 1.922 escolares (54.3% mujeres). Se aplicó de manera auto-administrada la escala “IFIS”. Se midió el peso, talla, circunferencia de cintura y se calculó el índice de masa corporal (IMC) en kg/m2. La capacidad aeróbica, el índice general de fuerza (z-score fuerza prensil + z-score salto de longitud), la velocidad/agilidad y la flexibilidad fueron como indicadores objetivos de la CFRS objetiva y directa. Resultados: La muestra estuvo conformada por 1.922 escolares, de los cuales 1.045 fueron mujeres (54.3%) y 877 hombres (45.6%). El análisis ANOVA mostró que los varones tenían mayores valores de peso (p<0.003), estatura (p<0.001), CC (p<0.001), capacidad aeróbica (p<0.001), velocidad/agilidad (p<0.001) e índice general de fuerza (p<0.001), mientras que las mujeres presentaron exceso de peso por IMC (sobrepeso y obesidad). En el componente de condición física general, las puntuaciones más altas en la escala “IFIS” se encontraron en la categoría buena (40%), seguido de aceptable (34%), mientras que la puntuación más baja se encontró en la categoría muy mala/mala (6%). En población general, relaciones lineales fueron observadas entre el auto-reporte de la CFRS por la escala “IFIS” y la mayoría de los indicadores del fitness evaluado objetivamente. El análisis post-hoc ajustado por sexo, edad y etapa de maduración reveló que los escolares que acusaron mejores valores en la auto-percepción de los dominios del “IFIS”, presentaron mejor desempeño en los indicadores de CFRS objetivos. Conclusión: Este trabajo describe por primera vez en población Latina, que el auto-reporte con la escala “IFIS”, es un instrumento válido para evaluar la CFRS, y además posee una adecuada capacidad para clasificar la aptitud física en población escolar de Bogotá, Colombia. Esta escala se encuentra disponible para otros investigadores interesados en evaluar la condición física muscular en América Latina.

Prevalencia y factores asociados al consumo de bebidas azucaradas en escolares de 9 a 17 años de Bogotá, Colombia: Estudio FUPRECOL

Objetivo: Determinar la prevalencia y los factores asociados al consumo de bebidas azucaradas en una población escolar de Bogotá, Colombia, pertenecientes al estudio FUPRECOL. Métodos: Estudio descriptivo y transversal, realizado en 8136 niños y adolescentes en edad escolar entre 9 y 17 años de Bogotá, Colombia. El peso, la estatura, el índice de masa corporal (IMC), la circunferencia de cintura y el porcentaje de grasa, se recogieron como marcadores antropométricos y de composición corporal. El consumo de bebidas azucaradas (bebidas carbonatadas, jugos ultra-procesados y/o Té), y los factores asociados (sexo, edad, obesidad abdominal, clasificación del IMC, grado de estudios de la madre/padre, y nivel nutricional por cuestionario “Krece plus”), se recogieron por encuesta estructurada. Se establecieron asociaciones mediante la construcción de modelos de regresión logística simple. Resultados: De la población general, el 58,4% eran mujeres. En función al sexo, los varones acusaron la mayor ingesta de “bebidas carbonatadas” con una frecuencia semanal y diaria de 70,9% y 21,0%, respectivamente, seguido de “jugos ultra- procesados” (64,4% semanal vs. 11,3% diario). En ambos sexos, la prevalencia de obesidad abdominal fue mayor en los escolares que respondieron consumir diariamente “bebidas carbonatadas” (23,3%), “jugos ultra-procesados” (13,2%) y “bebidas Té” (9,7%). La edad, el grado de educación de los padres y el nivel nutricional, se asociaron como factores predisponentes al consumo diario de “bebidas carbonatadas”. Conclusión: El consumo de bebidas azucaradas cambia por los factores analizados. Se recomiendan intervenciones integrales en las que estén involucrados los componentes nutricional y educativo entre los niños y adolescentes de Bogotá, Colombia.

Relación entre velocidad/agilidad con indicadores de desempeño muscular y estado nutricional en escolares de 9 a 17 años en Bogotá, D.C. Estudio Fuprecol.

Objetivo: Estimar la relación entre indicadores de desempeño muscular y estado nutricional con la velocidad/agilidad, en una muestra de escolares de instituciones educativas del Distrito de Bogotá, Colombia, perteneciente al estudio FUPRECOL. Materiales y Métodos: estudio transversal, en 2803 niños y 3952 niñas (58.5 %), entre 9 y 17 años de edad, pertenecientes a 24 instituciones educativas del sector oficial, en Bogotá, Colombia. La velocidad/agilidad se evaluó con la prueba de carrera de ida y vuelta 4x10 m y los indicadores de fuerza muscular fueron medidos por medio de fuerza prensil, salto longitudinal. Las asociaciones se estimaron por medio de regresión logística binaria. Resultados: el 74.6 % de las mujeres y el 68.6 % de los varones mostraron bajos niveles de velocidad/agilidad; en mujeres, el modelo de regresión logística binario se observa que aquellas que tener bajos niveles de velocidad/agilidad se asociaba con obesidad (OR 2.25 IC 95 % 1.53-3.11), sobrepeso (OR 1.43 IC 95 % 1.19-1.72), bajos niveles de salto longitudinal (OR 2.06 IC 95 % 1.73-2.44) y tener valores de fuerza prensi no saludable (OR 1.45 IC 95 % 1.25-1.88). En hombres, tener entre 9-12 años, (OR 1.89 IC 95% 1.53-2.53), padecer de sobrepeso (OR 2.11 IC 95% 1.63-2.74) u obesidad (OR 3.00 IC 95% 2.03-4.43), se asoció con bajos niveles de velocidad/agilidad. Conclusión: se encontró que un alto porcentaje de la muestra estudiada tiene bajos niveles de velocidad/agilidad; adicionalmente, se observó una fuerte relación entre los indicadores de adiposidad y desempeño muscular, con los niveles de velocidad/agilidad. Se sugiere la implementación de programas escolares, que contrarresten la aparición de manifestaciones de riesgo cardiometabólico.

Handgrip strength cut-off for cardiometabolic risk index among Colombian children and adolescents : the FUPRECOL study

Abstract Objective: Evidence shows an association between muscular strength (MS) and health among youth, however low muscular strength cut-points for the detection of high metabolic risk in Latin-American populations are scarce. The aim of this study was two-fold: to explore potential age- and sex-specific thresholds of MS, for optimal cardiometabolic risk categorization among Colombian children and adolescents; and to investigate if cardiometabolic risk differed by MS group by applying the receiver operating characteristic curve (ROC) cut point. Methods: This is a secondary analysis of a cross-sectional study (the FUPRECOL study), published elsewhere. The FUPRECOL study assessments were conducted during the 2014– 2015 school year. MS was estimated by a handle dynamometer on 1,950 children and adolescents from Colombia, using the MS relative to weight (handgrip strength/body mass). A metabolic risk score was computed from the following components: waist circumference, triglycerides, HDL-c, glucose, systolic and diastolic blood pressure. ROC analysis showed a significant discriminatory accuracy of MS in identifying the low/high metabolic risk in children and adolescents and both gender. Results: In children, handgrip strength/body mass level for a low metabolic risk were 0.359 and 0.376 in girls and boys, respectively. In adolescents, these points were 0.440 and 0.447 in girls and boys, respectively. Conclusion: In conclusion, the results suggest a hypothetical MS level relative to weight for having a low metabolic risk, which could be used to identify youths at risk.

Normative reference of standing long jump for Colombian schoolchildren aged 9-17.9 years: The FUPRECOL study

El propósito del presente estudio era generar los valores normativos de salto largo para niños de 9-17.9 años, e investigar las diferencias de sexo y grupo de edad

Improved image contrast of the bone-muscle interface with 3T MRI compared to 1.5T MRI [Abstract]

Virtual 3D models of long bones are increasingly being used for implant design and research applications. The current gold standard for the acquisition of such data is Computed Tomography (CT) scanning. Due to radiation exposure, CT is generally limited to the imaging of clinical cases and cadaver specimens. Magnetic Resonance Imaging (MRI) does not involve ionising radiation and therefore can be used to image selected healthy human volunteers for research purposes. The feasibility of MRI as alternative to CT for the acquisition of morphological bone data of the lower extremity has been demonstrated in recent studies [1, 2]. Some of the current limitations of MRI are long scanning times and difficulties with image segmentation in certain anatomical regions due to poor contrast between bone and surrounding muscle tissues. Higher field strength scanners promise to offer faster imaging times or better image quality. In this study image quality at 1.5T is quantitatively compared to images acquired at 3T. --------- The femora of five human volunteers were scanned using 1.5T and 3T MRI scanners from the same manufacturer (Siemens) with similar imaging protocols. A 3D flash sequence was used with TE = 4.66 ms, flip angle = 15° and voxel size = 0.5 × 0.5 × 1 mm. PA-Matrix and body matrix coils were used to cover the lower limb and pelvis respectively. Signal to noise ratio (SNR) [3] and contrast to noise ratio (CNR) [3] of the axial images from the proximal, shaft and distal regions were used to assess the quality of images from the 1.5T and 3T scanners. The SNR was calculated for the muscle and bone-marrow in the axial images. The CNR was calculated for the muscle to cortex and cortex to bone marrow interfaces, respectively. --------- Preliminary results (one volunteer) show that the SNR of muscle for the shaft and distal regions was higher in 3T images (11.65 and 17.60) than 1.5T images (8.12 and 8.11). For the proximal region the SNR of muscles was higher in 1.5T images (7.52) than 3T images (6.78). The SNR of bone marrow was slightly higher in 1.5T images for both proximal and shaft regions, while it was lower in the distal region compared to 3T images. The CNR between muscle and bone of all three regions was higher in 3T images (4.14, 6.55 and 12.99) than in 1.5T images (2.49, 3.25 and 9.89). The CNR between bone-marrow and bone was slightly higher in 1.5T images (4.87, 12.89 and 10.07) compared to 3T images (3.74, 10.83 and 10.15). These results show that the 3T images generated higher contrast between bone and the muscle tissue than the 1.5T images. It is expected that this improvement of image contrast will significantly reduce the time required for the mainly manual segmentation of the MR images. Future work will focus on optimizing the 3T imaging protocol for reducing chemical shift and susceptibility artifacts.

A preliminary investigation of the role of the Phenylalynine: Tyrosine Ratio in children with early and continuously treated phenylketonuria : toward identification of “safe” levels

Children with early and continuously treated phenylketonuria (ECT-PKU) remain at risk of developing executive function (EF) deficits. There is some evidence that a high phenylalanine to tyrosine ratio (phe:tyr) is more strongly associated with impaired EF development than high phenylalanine alone. This study examined EF in a sample of 11 adolescents against concurrent and historical levels of phenylalanine, phe:tyr, and tyrosine. Lifetime measures of phe:tyr were more strongly associated with EF than phenylalanine-only measures. Children with a lifetime phe:tyr less than 6 demonstrated normal EF, whereas children who had a lifetime phe:tyr above 6, on average, demonstrated clinically impaired EF.

The application of phonetic distribution normalisation to likelihood-maximising speech enhancement for robust ASR

Traditional speech enhancement methods optimise signal-level criteria such as signal-to-noise ratio, but such approaches are sub-optimal for noise-robust speech recognition. Likelihood-maximising (LIMA) frameworks on the other hand, optimise the parameters of speech enhancement algorithms based on state sequences generated by a speech recogniser for utterances of known transcriptions. Previous applications of LIMA frameworks have generated a set of global enhancement parameters for all model states without taking in account the distribution of model occurrence, making optimisation susceptible to favouring frequently occurring models, in particular silence. In this paper, we demonstrate the existence of highly disproportionate phonetic distributions on two corpora with distinct speech tasks, and propose to normalise the influence of each phone based on a priori occurrence probabilities. Likelihood analysis and speech recognition experiments verify this approach for improving ASR performance in noisy environments.