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PubMed2003

Use of a major medical center clinical laboratory as a reference laboratory for a developing country: ordering patterns help set laboratory priorities.

BACKGROUND: The test menus for developed and developing countries may differ, depending on many factors, including the expected volume of testing, disease frequency and therapies available, clinical impact of the test, technical skill and equipment needed, cost, the patient population served, and whether alternative testing sites are available, and some of them may not be exactly known. We assessed test priorities in a developing country by making a broad range of tests available and then assessing which tests were actually used by the physicians in the country for the care of their patients. METHODS: The Barnes-Jewish Hospital laboratory and Washington University Medical Center provided patients in the developing country of Eritrea access to the same tests as patients in St. Louis for all analytes that are stable at 4 degrees C, the lowest temperature that could be used for shipping. RESULTS: The use of the St. Louis laboratories increased steadily from 1998 to 2001. More than one-half of the physicians in Eritrea used the reference laboratories, with requests for thyroid function and female fertility representing 48-71% of the test requests over the 4 years evaluated. The high degree of utilization for these test batteries was not predicted. Testing for thyroid function, female fertility, and lipid panels are now performed, or soon will be performed, in Eritrea based on the experience of the reference laboratory system. The reference laboratory system is continuing so that the test priorities of the country can be evaluated on an ongoing basis and specialized tests can be made available at a low cost. CONCLUSION: The experiences of a reference laboratory for a developing country can help to identify unanticipated priorities for medical testing within the country.

Clinical Laboratory Techniques↗
PubMed2005

Testing two predictions for fracture load using computer models of trabecular bone.

Aging induces several types of architectural changes in trabecular bone including thinning, increased levels of anisotropy, and perforation. It has been determined, on the basis of analysis of mathematical models, that reduction in fracture load caused by perforation is significantly higher than those due to equivalent levels of thinning or anisotropy. The analysis has also provided an expression which relates the fractional reduction of strength tau to the fraction of elements nu that have been removed from a network. Further, it was proposed that the ratio Gamma of the elastic constant of a sample and its linear response at resonance can be used as a surrogate for tau. Experimental validation of these predictions requires following architectural changes in a given sample of trabecular bone; techniques to study such changes using microcomputed tomography are only beginning to be available. In the present study, we use anatomically accurate computer models constructed from digitized images of bone samples for the purpose. Images of healthy bone are subjected to successive levels of synthetic degradation via surface erosion. Computer models constructed from these images are used to calculate their fracture load and other mechanical properties. Results from these computations are shown to be consistent with predictions derived from the analysis of mathematical models. Although the form of tau(nu) is known, parameters in the expression are expected to be sample-specific, and hence nu is not a reliable predictor of strength. We provide an example to demonstrate this. In contrast, analysis of model networks shows that the linear part of tau(Gamma) depends only on the structure of trabecular bone. Computations on models constructed from samples of iliac crest trabecular bone are shown to be in agreement with this assertion. Since Gamma can be computed from a vibrational assessment of bone, we argue that the latter can be used to introduce new surrogates for bone strength and hence diagnostic tools for osteoporosis.

Bone Density↗