ABSTRACT
BACKGROUND: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease in the Western world. Early and accurate identification of DKD offers the best chance of slowing the progression of kidney disease. An important method for evaluating risk of progressive DKD is abnormal albumin excretion rate (AER). Due to the high variability in AER, most guidelines recommend the use of more than or equal to two out of three AER measurements within a 3- to 6-month period to categorise AER. There are recognised limitations of using AER as a marker of DKD because one quarter of patients with type 2 diabetes may develop kidney disease without an increase in albuminuria and spontaneous regression of albuminuria occurs frequently. Nevertheless, it is important to investigate the long-term intra-individual variability of AER in participants with type 2 diabetes. METHODS: Consecutive AER measurements (median 19 per subject) were performed in 497 participants with type 2 diabetes from 1999 to 2012 (mean follow-up 7.9 ± 3 years). Baseline clinical characteristics were collected to determine associations with AER variability. Participants were categorised as having normo-, micro- or macroalbuminuria according to their initial three AER measurements. Participants were then categorised into four patterns of AER trajectories: persistent, intermittent, progressing and regressing. Coefficients of variation were used to measure intra-individual AER variability. RESULTS: The median coefficient of variation of AER was 53.3%, 76.0% and 67.0% for subjects with normo-, micro- or macroalbuminuria at baseline. The coefficient of variation of AER was 37.7%, 66% and 94.8% for subjects with persistent, intermittent and progressing normoalbuminuria; 43%, 70.6%, 86.1% and 82.3% for subjects with persistent, intermittent, progressing and regressing microalbuminuria; and 55.2%, 67% and 82.4% for subjects with persistent, intermittent and regressing macroalbuminuria, respectively. CONCLUSION: High long-term variability of AER suggests that two out of three AER measurements may not always be adequate for the optimal categorisation and prediction of AER.
Subject(s)
Albuminuria , Diabetes Mellitus, Type 2/complications , Diabetic Nephropathies , Kidney Failure, Chronic , Long-Term Care/methods , Renal Elimination , Aged , Albuminuria/diagnosis , Albuminuria/etiology , Biological Variation, Population , Diabetic Nephropathies/diagnosis , Diabetic Nephropathies/etiology , Disease Progression , Early Diagnosis , Female , Follow-Up Studies , Humans , Kidney Failure, Chronic/diagnosis , Kidney Failure, Chronic/etiology , Kidney Failure, Chronic/prevention & control , Male , Middle Aged , Risk Assessment/methodsABSTRACT
This work presents a generalization of the Kraynik-Reinelt (KR) boundary conditions for nonequilibrium molecular dynamics simulations. In the simulation of steady, homogeneous flows with periodic boundary conditions, the simulation box deforms with the flow, and it is possible for image particles to become arbitrarily close, causing a breakdown in the simulation. The KR boundary conditions avoid this problem for planar elongational flow and general planar mixed flow [T. A. Hunt, S. Bernardi, and B. D. Todd, J. Chem. Phys. 133, 154116 (2010)] through careful choice of the initial simulation box and by periodically remapping the simulation box in a way that conserves image locations. In this work, the ideas are extended to a large class of three-dimensional flows by using multiple remappings for the simulation box. The simulation box geometry is no longer time-periodic (which was shown to be impossible for uniaxial and biaxial stretching flows in the original work by Kraynik and Reinelt [Int. J. Multiphase Flow 18, 1045 (1992)]. The presented algorithm applies to all flows with nondefective flow matrices, and in particular, to uniaxial and biaxial flows.
ABSTRACT
Methods to analyze and compare biomacromolecular surfaces are still in their relative infancy on account of the challenges involved in comparing surfaces computationally. We describe a systems chemistry approach that utilizes polymer-scaffolded dynamic combinatorial libraries to experimentally probe biomacromolecular surfaces in aqueous solution which provides feedback as to the nature of the surfaces, allowing the comparison of three globular proteins and a nucleic acid.
ABSTRACT
Forestier's disease, also known as diffuse idiopathic skeletal hyperostosis (DISH), is a pathology of the vertebral bodies characterised by exuberant osteophyte formation. Symptoms range from negligible back discomfort to, less commonly, debilitating dysphagia and airway disturbances. Conservative management including analgesia, chiropractic and diet modification are common and effective treatments. However, when conservative management fails to alleviate symptoms, particularly compressive symptoms, surgical management is indicated. We report a 55-year-old man presenting with 6months' progressive dysphagia and dysphonia. He was managed successfully with an anterior cervical osteophytectomy without fusion. A literature review is included.