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1.
Clin Nutr ; 40(4): 2435-2442, 2021 04.
Artículo en Inglés | MEDLINE | ID: mdl-33176926

RESUMEN

BACKGROUND & AIMS: Accurate and reproducible biomarkers are required to allow a more personalized approach to patient care. Body composition is one such biomarker affecting outcomes in a range of surgical and oncological conditions. The aim of this study is to determine the age and sex specific distribution of body composition data, based on information gathered from computed tomography (CT). METHODS: This prospective study used healthy subjects from the medical records linkage of the Rochester Epidemiology Project, based in Minnesota, USA. Each patient had a CT scan without intravenous contrast performed between 1999 and 2001. Quantification was performed using previously validated semi-automated in-house developed software for body composition analysis. Subcutaneous adipose tissue area, visceral adipose tissue area, intermuscular adipose tissue area and skeletal muscle area were measured and indexed to subject height. Generalized Additive Models for Location, Scale and Shape were used to assess the location, scale, and shape of each variable across age, stratified by sex. Z-scores specific to sex were assessed for each of the parameters analyzed. Age-specific z-scores were calculated using the formula: Z = (Index Variable - µ)/σ or Z = (√ (Index Variable) - µ)/σ. RESULTS: There were 692 subjects enrolled in the study. The fitted model equation was offered for each variable with values presented for µ and σ. Modelling with penalized splines was performed for VAT index, IMAT index and total adipose tissue index. Scatterplots of each variable were produced with lines of Z-scores as a visual representation. CONCLUSION: This study offers comparative data to allow comparison amongst multiple populations. This will form an important reference for future research and clinical practice.


Asunto(s)
Tejido Adiposo/anatomía & histología , Composición Corporal , Adulto , Anciano , Anciano de 80 o más Años , Peso Corporal , Femenino , Humanos , Grasa Intraabdominal/anatomía & histología , Masculino , Persona de Mediana Edad , Músculo Esquelético/anatomía & histología , Estudios Prospectivos , Valores de Referencia , Grasa Subcutánea/anatomía & histología , Tomografía Computarizada por Rayos X
2.
Neurogastroenterol Motil ; 30(7): e13314, 2018 07.
Artículo en Inglés | MEDLINE | ID: mdl-29498141

RESUMEN

BACKGROUND: Endoanal MRI and MR defecography are used to identify anal sphincter injury and disordered defecation. However, few studies have evaluated findings in asymptomatic healthy people. The effects of BMI and parity on rectoanal motion and evacuation are unknown. METHODS: In 113 asymptomatic females (age 50 ± 17 years, Mean ± SD) without risk factors for anorectal trauma, anal sphincter appearance, anorectal motion, and pelvic organ prolapse were evaluated with MRI. The relationship between age, BMI, and parity and structural findings were evaluated with parametric and non-parametric tests. RESULTS: The anal sphincters and puborectalis appeared normal in over 90% of women. During dynamic MRI, the anorectal angle was 100 ± 1º (Mean ± SEM) at rest, 70 ± 2° at squeeze, and 120 ± 2° during defecation. The change in anorectal angle during squeeze (r = -.25, P < .005), but not during evacuation (r = .13, P = .25) was associated with age. In the multivariable models, BMI (P < .01) and parity (P < .01) were, respectively, independently associated with the intersubject variation in the anorectal angle at rest and the angle change during squeeze. Ten percent or fewer women had had descent of the bladder base or uterus 4 cm or more below the pubococcygeal line or a rectocele measuring 4 cm or larger. Only 5% had a patulous anal canal. CONCLUSIONS: In addition to age, BMI and parity also affect anorectal motion in asymptomatic women. These findings provide age-adjusted normal values for rectoanal anatomy and pelvic floor motion.


Asunto(s)
Canal Anal/diagnóstico por imagen , Imagen por Resonancia Magnética/métodos , Prolapso de Órgano Pélvico/diagnóstico por imagen , Recto/diagnóstico por imagen , Adulto , Factores de Edad , Anciano , Canal Anal/fisiología , Índice de Masa Corporal , Estudios de Cohortes , Defecografía/métodos , Femenino , Voluntarios Sanos , Humanos , Persona de Mediana Edad , Prolapso de Órgano Pélvico/fisiopatología , Recto/fisiología
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