ObjectivesEpidemiological studies have shown a relationship between long-term use of proton pump inhibitors and bone metabolism. However, this relationship has not yet become established. The aim of the present study was to analyze the mechanical properties and bone mineral density (BMD) of rats that were subjected to long-term omeprazole use.MethodsFifty Wistar rats weighing between 200 and 240 g were divided equally into five groups: OMP300 (omeprazole intake at a dose of 300 μmoL/kg/day); OMP200 (200 μmoL/kg/day); OMP40 (40 μmoL/kg/day); OMP10 (10 μmoL/kg/day); and Cont (control group; intake of dilution vehicle). The solutions were administered for 90 consecutive days. After the rats had been sacrificed, their BMD, the mechanical properties of the dissected femurs and their serum Ca++ levels were analyzed.ResultsThe BMD of the OMP300 group was lower than that of the controls (p = 0.006). There was no difference on comparing the OMP200, OMP40 and OMP10 groups with the controls. The maximum strength and rigidity of the femur did not differ in the experimental groups in comparison with the controls. The OMP300 group had a statistically lower serum Ca++ concentration than that of the controls (p = 0.049), but the other groups did not show any difference in relation to the controls.ConclusionDaily intake of 300 μmoL/kg/day of omeprazole decreased the BMD of the femur, but without changes to the rigidity and strength of the femur in adult rats.

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Introduction: This paper presents the failure modes and effects analysis (FMEA) tool in a clinical laboratory through the introduction of new technology for blood gas and serum ionized calcium in multi-parameter analyzers such as Point of Care Testing (POCT). Objective: To present FMEA as a tool for risk managing and improvement with the introduction of new technologies in a public laboratory. Methods: The change of multiparameter gas analyzer type POCT was defined and described as a process. Subsequently, the criteria were presented to the risk assessment and its quantification. We studied the failure modes that might occur in this process. We established three action plans involving improvements to be made in the technological change. FMEA was applied in two stages: at the beginning of the project and after the implementation of the proposed measures. Results: The first plan involved administrative measures related to the bidding process; the second preventive action involved the possibility of which supplier would win the bid by studying the efficiency of the analyzer and its impact on productivity; the third set of actions was directed to improvements in the relationship with the clinical staff in order to minimize occasional complaints. The last actions referred to employing new employees to meet the growing demand. Conclusion: FMEA proved to be a reliable tool for performance improvement, which proactively identifies, prioritizes and mitigates patient risks.

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