Osteomyelitis secondary to diabetic foot infections can lead to proximal amputation if not diagnosed in a timely and accurate manner. The authors have found no studies to date that correlate a specific erythrocyte sedimentation rate with osteomyelitis. A retrospective chart review of 29 diabetic patients admitted to the hospital with diagnoses of osteomyelitis or cellulitis of the foot during a 1-year period was performed. Of the various lab values and demographic factors compared, erythrocyte sedimentation rate was the only measure that differed significantly between the two groups. A receiver operating characteristic curve was used to obtain the optimal cutoff value of 70 mm/h, a level above which osteomyelitis was present with the highest sensitivity (89.5%) and highest specificity (100%), along with a positive predictive value of 100% and a negative predictive value of 83%. This study shows that in combination with clinical suspicion in diabetic foot infections, the erythrocyte sedimentation rate is highly predictive of osteomyelitis, and that the value of 70 mm/h is the optimal cutoff to predict accurately the presence or absence of bone infection.

This paper presents the results of an empirical study of the effects of coefficient correlation structure and constraint slackness settings on the performance of solution procedures on synthetic two-dimensional knapsack problems (2KP). The population correlation structure among 2KP coefficients, the level of constraint slackness, and the type of correlation (product moment or rank) are varied in this study. Representative branch-and-bound and heuristic solution procedures are used to investigate the influence of these problem parameters on solution procedure performance. Population correlation structure, and in particular the interconstraint component of the correlation structure, is found to be a significant factor influencing the performance of both the algorithm and the heuristic. In addition, the interaction between constraint slackness and population correlation structure is found to influence solution procedure performance.product moment correlation induction, rank correlation induction, computational testing of algorithms/heuristics, empirical analysis of algorithms/heuristics, bidimensional knapsack problem, test problem generation

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