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      National strategy for the integration of pharmacovigilance in the Moroccan TB Control Program

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          Abstract

          The objective of this work is to demonstrate the interest of integration of pharmacovigilance in Moroccan Tuberculosis Control Program (MTCP). The integration of pharmacovigilance in MTCP was conducted in October 2012with the Global Fund support. We compared the reports notified before and after this integration (period 1: January 2010–October2012; period 2: October 2012–December 2013). The detection of signals was based on the Information Component available inVigiMine. We used the SPSS version 10.0 and Med Calc version 7.3 for data analysis. The average number of spontaneous reports increased from 3.6 to 37.4 cases/month (P< 10 -3). The average age was 40.7 ± 17.5 years; the sex ratio was 0.8. Hepatic reactions (32.7%) predominated during the first period, while skin reactions (24.1%) were in the second period (P = 10 -4), and40.9% of cases in the first period were serious against 15.8% in second period (P = 0.003). Nine signals were generated (hepaticenzyme increase, cholestasis, jaundice, arthralgia, acne, lower limb edema, pruritus, skin rashes, and vomiting). The integration of pharmacovigilance in Moroccan Tuberculosis Control Program improved the management of ADRs and detected new signals of antituberculosis drugs.

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          Most cited references23

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          Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

          The process of generating 'signals' of possible unrecognized hazards from spontaneous adverse drug reaction reporting data has been likened to looking for a needle in a haystack. However, statistical approaches to the data have been under-utilised. Using the UK Yellow Card database, we have developed and evaluated a statistical aid to signal generation called a Proportional Reporting Ratio (PRR). The proportion of all reactions to a drug which are for a particular medical condition of interest is compared to the same proportion for all drugs in the database, in a 2 x 2 table. We investigated a group of newly-marketed drugs using as minimum criteria for a signal, 3 or more cases, PRR at least 2, chi-squared of at least 4. The database was used to examine retrospectively 15 drugs newly-marketed in the UK, with the highest levels of ADR reporting. The method identified 481 signals meeting the minimum criteria during the period 1996-8. Further evaluation of these showed that 70% were known adverse reactions, 13% were events which were likely to be related to the underlying disease and 17% were signals requiring further evaluation. Proportional reporting ratios are a valuable aid to signal generation from spontaneous reporting data which are easy to calculate and interpret, and various refinements are possible.
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            A Bayesian neural network method for adverse drug reaction signal generation.

            The database of adverse drug reactions (ADRs) held by the Uppsala Monitoring Centre on behalf of the 47 countries of the World Health Organization (WHO) Collaborating Programme for International Drug Monitoring contains nearly two million reports. It is the largest database of this sort in the world, and about 35,000 new reports are added quarterly. The task of trying to find new drug-ADR signals has been carried out by an expert panel, but with such a large volume of material the task is daunting. We have developed a flexible, automated procedure to find new signals with known probability difference from the background data. Data mining, using various computational approaches, has been applied in a variety of disciplines. A Bayesian confidence propagation neural network (BCPNN) has been developed which can manage large data sets, is robust in handling incomplete data, and may be used with complex variables. Using information theory, such a tool is ideal for finding drug-ADR combinations with other variables, which are highly associated compared to the generality of the stored data, or a section of the stored data. The method is transparent for easy checking and flexible for different kinds of search. Using the BCPNN, some time scan examples are given which show the power of the technique to find signals early (captopril-coughing) and to avoid false positives where a common drug and ADRs occur in the database (digoxin-acne; digoxin-rash). A routine application of the BCPNN to a quarterly update is also tested, showing that 1004 suspected drug-ADR combinations reached the 97.5% confidence level of difference from the generality. Of these, 307 were potentially serious ADRs, and of these 53 related to new drugs. Twelve of the latter were not recorded in the CD editions of The physician's Desk Reference or Martindale's Extra Pharmacopoea and did not appear in Reactions Weekly online. The results indicate that the BCPNN can be used in the detection of significant signals from the data set of the WHO Programme on International Drug Monitoring. The BCPNN will be an extremely useful adjunct to the expert assessment of very large numbers of spontaneously reported ADRs.
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              Frequency and type of reactions to antituberculosis drugs: observations in routine treatment.

              United Kingdom, 1978-1992. To assess the incidence and type of reactions to antituberculosis drugs in an unselected series of patients. All patients treated for tuberculosis had details of drug treatment, durations and side-effects requiring alteration of treatment available. The data was compiled retrospectively for 1978-1980 patients and prospectively thereafter. Analysis of drug reactions was by drug, total months drug use, by age, sex and ethnic group, and reaction type. Of 1317 patients 67 (5.1%) had 70 reactions to antituberculosis drugs requiring modification of treatment. The frequency of drug reactions increased from 2.3% at age 0-19 to 4.6% at age 20-39, 7.1% for age 40-59 and to 8.4% for those aged 60 and over. Females had significantly higher reactions rates than males. White patients had higher reaction rates than Pakistani and Indian patients, mainly due to the average age being greater. The drug reaction rate of 5.1% in this largely prospective study is lower than that reported in other unselected series in the UK and other countries.
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                Author and article information

                Journal
                Pan Afr Med J
                Pan Afr Med J
                PAMJ
                The Pan African Medical Journal
                The African Field Epidemiology Network
                1937-8688
                31 January 2017
                2017
                : 26
                : 48
                Affiliations
                [1 ]Department of Pharmacology, Faculty of Medicine and Pharmacy, University of Abdelmalek Essaadi Tanger 90100, Morocco
                [2 ]Department of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, University of Mohamed V Rabat 10170, Morocco
                [3 ]Department of Pneumology, Faculty of Medicine and Pharmacy, University of Abdelmalek Essaadi Tanger 90100, Morocco
                [4 ]Moroccan Anti Poison and Pharmacovigilance Center, Rabat 10170, Morocco
                [5 ]Laboratory of Genetics and Biometry, University Ibn Tofail, Kenitra 14000, Morocco
                Author notes
                [& ]Corresponding author: Driss Soussi Tanani, Department of Pharmacology, Faculty of Medicine and Pharmacy, University of Abdelmalek Essaadi Tanger 90100, Morocco
                Article
                PAMJ-26-48
                10.11604/pamj.2017.26.48.7394
                5398877
                a64c4ad0-648a-49b3-8888-be77287d22f0
                © Driss Soussi Tanani et al.

                The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 July 2015
                : 26 August 2016
                Categories
                Project Evaluation

                Medicine
                pharmacovigilance,adverse drug reactions,antituberculosis drugs
                Medicine
                pharmacovigilance, adverse drug reactions, antituberculosis drugs

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