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21.

Background

Guidelines summarize medical evidence, they identify the most efficient therapy under study conditions and recommend this therapy for use. The physician now has the challenge to translate a therapy that is efficient under laboratory conditions to a patient who is an individual person. To accomplish this task the physician has to make sure that (I) the ideal typical therapy is applicable and effective in this individual patient taking the special features into consideration, that (II) therapy is compliant with the norm including guidelines, laws and ethical requirements (conformity) and that (III) the therapy meets the patient’s needs.

Objectives

How can physician together with the patient translate the medical evidence into an individually optimized therapy?

Material and methods

At the German Aorta Center in Hamburg we use I?SWOT as an instrument to identify such individually optimized therapy. With I?SWOT, we present an instrument with which we have developed an (I) efficient, (II) conform and (III) needs-oriented therapeutic strategy for individual patients.

Results

I-SWOT cross-tabulates strengths (S) and weaknesses (W) related to therapy with opportunities (O) and threats (T) related to individual patients. This I?SWOT matrix identifies four fundamental types of strategy, which comprise “SO” maximizing strengths and opportunities, “WT” minimizing weaknesses and threats, “WO” minimizing weaknesses and maximizing opportunities and “ST” maximizing strengths and minimizing threats. We discuss a patient with asymptomatic thoracoabdominal aneurysm to show how we use I?SWOT to identify an individually optimized therapeutic strategy.
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The skeletal muscle-specific isoform of adenosine monophosphate deaminase (AMPD) is one of the most important regulators of muscle energy metabolism. A nonsense C to T transition in nucleotide 34 (C34T) in exon 2 of AMPD1 gene converts the codon CAA into the premature stop-codon TAA. 127 Polish male rowers including Olympic and world champions were recruited for this study. Controls samples were obtained from 251 unrelated volunteers. Statistically significant differences in genotype distribution were observed when only a whole group of rowers (88.19% CC, 11.81% CT, 0% TT; p=0.009) were compared with controls (75.31% CC, 23.10% CT, 1,59% TT). A significant deficiency of the T allele compared to control samples was noted in the elite rowers (4.55%, p=0.021) and non-elite rowers (6.63%, p=0.023), whereas this trend was even stronger when compared with the controls for the whole group of rowers (5.91%, p=0.002). Our results suggest that the T allele is associated with physical performance level, therefore, it may be included in the group of performance altering polymorphisms as a negative factor to athletic performance.  相似文献   
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