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vol.10 número1Longterm evaluation of polyethylene wear in total hip replacement: a statistical analysis of the association between the degree of wear versus pain, interface change, osteolysis and implant failureUltrasound and the shoulder surgeon índice de autoresíndice de materiabúsqueda de artículos
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SA Orthopaedic Journal

versión On-line ISSN 2309-8309
versión impresa ISSN 1681-150X


GROBBELAAR, CJ; DU PLESSIS, TA; STEFFENS, FE  y  VAN DER LINDE, MJ. Analysis of wear-related failures in long-term follow-up of crosslinked polyethylene hip sockets. SA orthop. j. [online]. 2011, vol.10, n.1, pp.58-65. ISSN 2309-8309.

The publication of our longterm hip replacement followup study computer analysis has clearly demonstrated the association between polyethylene (polyethylene/UHMWPE) wear on the one hand and pain, interface widening and osteolysis on the other. From a total of 97 cases, seven had true failure and needed ultimate revision. These seven cases formed the nucleus of the current study (Group 1). The course of events could then be analysed in great detail, and compared with the other 90 cases (Groups 2, 3, and 4). The purpose of this paper was to confirm the role of polyethylene wear (the independent variable) in the limitation of longevity of the implant; furthermore to identify the cutoff point of wear that is considered acceptable. At the same time quantification of P, I, O (pain, interface widening and osteolysis) was studied (the dependent variables). Once again, computer analysis provided us with detailed values that would constitute the cutoff points for acceptance. These findings then enabled us to categorise the 97 cases into four groups. Of special interest was Group 2: 'impending failure'. Even though none of the nine cases in Group 2 were revised, this study clearly demonstrated that they should be classified as failures and managed accordingly. In this study some other controversial issues were addressed: the degree of wear proved important as opposed to the tempo, which was not! Equally unimpressive were the patients' age, activity and body mass, which according to digital analysis had little effect on implant longevity.

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