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Background: Drug errors constitute a public health problem. The objective of our study was to describe drug circuit essential steps in the Lebanese hospitals, starting at prescription to administration, in comparison with Lebanese accreditation standards. We also evaluated technical drug errors., Methods: A cross sectional study of all hospitals in Beirut and Mount Lebanon was carried out, where a pharmacist and a nurse per hospital answered anonymous standardized questionnaires., Results: We found the drug circuit suffered from gaps in all 59 hospitals that were visited: doctors should increase efforts to clarify prescriptions and furnish necessary information for nurses, pharmacists better apply accreditation standards, and nurses verify and re-verify treatments before administration., Conclusion: Regulatory laws are necessary for all involved actors for best responding to the responsibility in question, that is patient security.

Introduction: Metalloproteinases (MMPs) promote cell migration and tumour invasion by degradation of the extracellular matrix. Activators and inhibitors (such as membrane type 1-matrix metalloproteinase or MT1-MMP and tissue inhibitor metalloproteinase 2 or TIMP-2) regulate metalloproteinase activity. The objective of this study was to determine the prognostic value of stromal immunolabelling with MMP-2, MT1-MMP and TIMP-2 in clinically localized prostate cancer., Material and Methods: The immunohistochemical study was performed on 30 radical prostatectomy specimens. The results were compared to preoperative PSA, Gleason score, pT stage and biochemical recurrence with a minimum follow-up of 5 years., Results: Stromal immunolabelling with MMP-2 is correlated with stage pT3 (p=0.0022, OR=17.5). No correlation was observed with the other histoprognostic parameters. No statistical link was established with MT1-MMP and TIMP-2., Conclusion: Stromal immunolabelling with MMP-2 is a histoprognostic marker of capsular effraction in prostatic adenocarcinoma. When performed on prostatic biopsies, it can predict the pT3 stage, allowing adaptation of the initial treatment in some patients.