Obtaining Compression Garments: Differential Distribution by Different Payors

2000 ◽  
Vol 21 ◽  
pp. S179
Author(s):  
T. Palmieri ◽  
D. Greenhalgh
2015 ◽  
Vol 10 (3) ◽  
pp. 155892501501000 ◽  
Author(s):  
Canan Saricam

This paper discusses the influence of the production parameters on the moisture related comfort characteristics of the compression garments that differ according to the tension applied during the production and elastane count. Correlation analysis, two sided independent t-test analysis and ANOVA tests were applied to analyze the relationship between the production parameters and comfort characteristics which are absorption, vertical and transfer wicking and drying. It was found that tension and elastane composition affect the comfort characteristics by changing the porosity, thickness and the pathways within the fabric.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sabrina Samad Shoily ◽  
Tamim Ahsan ◽  
Kaniz Fatema ◽  
Abu Ashfaqur Sajib

AbstractDiabetes mellitus is a complex and heterogeneous metabolic disorder which is often pre- or post-existent with complications such as cardiovascular disease, hypertension, inflammation, chronic kidney disease, diabetic retino- and nephropathies. However, the frequencies of these co-morbidities vary among individuals and across populations. It is, therefore, not unlikely that certain genetic variants might commonly contribute to these conditions. Here, we identified four single nucleotide polymorphisms (rs5186, rs1800795, rs1799983 and rs1800629 in AGTR1, IL6, NOS3 and TNFA genes, respectively) to be commonly associated with each of these conditions. We explored their possible interplay in diabetes and associated complications. The variant allele and haplotype frequencies at these polymorphic loci vary among different super-populations (African, European, admixed Americans, South and East Asians). The variant alleles are particularly highly prevalent in different European and admixed American populations. Differential distribution of these variants in different ethnic groups suggests that certain drugs might be more effective in selective populations rather than all. Therefore, population specific genetic architectures should be considered before considering a drug for these conditions.


2021 ◽  
pp. 000486742110257
Author(s):  
Olivier Bonnot ◽  
Jose Luis Insua ◽  
Mark Walterfang ◽  
Juan Vincente Torres ◽  
Stefan Armin Kolb

Aim: The aim of this study was to develop a suspicion index that aids diagnosis of secondary schizophrenia spectrum disorders in regular clinical practice. Method: We used the Delphi method to rate and refine questionnaire items in consecutive rounds. Differences in mean expert responses for schizophrenia spectrum disorders and secondary schizophrenia spectrum disorders populations allowed to define low/middle/high predictive items, which received different weights. Algorithm performance was tested in 198 disease profiles by means of sensitivity and specificity. Results: Twelve experts completed the Delphi process, and consensus was reached in 19/24 (79.2%) items for schizophrenia spectrum disorders and 17/24 (70.8%) for secondary schizophrenia spectrum disorders. We assigned rounded values to each item category according to their predictive potential. A differential distribution of scores was observed between schizophrenia spectrum disorders and secondary schizophrenia spectrum disorders when applying the suspicion index for validation to 198 disease profiles. Sensitivity and specificity analyses allowed to set a >8/10/16 risk prediction score as a threshold to consider medium/high/very high suspicion of secondary schizophrenia spectrum disorders. Conclusion: Our final outcome was the Secondary Schizophrenia Suspicion Index, the first paper-based and reliable algorithm to discriminate secondary schizophrenia spectrum disorders from schizophrenia spectrum disorders with the potential to help improve the detection of secondary schizophrenia spectrum disorder cases in clinical practice.


1987 ◽  
Vol 262 (32) ◽  
pp. 15714-15720 ◽  
Author(s):  
F L Huang ◽  
Y Yoshida ◽  
H Nakabayashi ◽  
K P Huang

1998 ◽  
Vol 63 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Kim Fröjdman ◽  
Lauri J. Pelliniemi ◽  
Ismo Virtanen

2010 ◽  
Vol 13 ◽  
pp. e39-e40 ◽  
Author(s):  
E. Gallaher ◽  
L. Boyd ◽  
N. Stepto ◽  
R. Snow ◽  
R. Aughey

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