The Role of Non-Selective Β-Blockers in Compensated Cirrhotic Patients Without Major Complications
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In Silico Methods for Drug Repositioning and Drug-Drug Interaction Prediction
In silico Methods for Drug Repositioning and Drug-Drug Interaction Prediction Pathima Nusrath Hameed ORCID: 0000-0002-8118-9823 Submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy Department of Mechanical Engineering THE UNIVERSITY OF MELBOURNE May 2018 Copyright © 2018 Pathima Nusrath Hameed All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the author. Abstract Drug repositioning and drug-drug interaction (DDI) prediction are two fundamental ap- plications having a large impact on drug development and clinical care. Drug reposi- tioning aims to identify new uses for existing drugs. Moreover, understanding harmful DDIs is essential to enhance the effects of clinical care. Exploring both therapeutic uses and adverse effects of drugs or a pair of drugs have significant benefits in pharmacology. The use of computational methods to support drug repositioning and DDI prediction en- able improvements in the speed of drug development compared to in vivo and in vitro methods. This thesis investigates the consequences of employing a representative training sam- ple in achieving better performance for DDI classification. The Positive-Unlabeled Learn- ing method introduced in this thesis aims to employ representative positives as well as reliable negatives to train the binary classifier for inferring potential DDIs. Moreover, it explores the importance of a finer-grained similarity metric to represent the pairwise drug similarities. Drug repositioning can be approached by new indication detection. In this study, Anatomical Therapeutic Chemical (ATC) classification is used as the primary source to determine the indications/therapeutic uses of drugs for drug repositioning. -
Medication Risks in Older Patients with Cancer
Medication risks in older patients with cancer 1 Medication risks in older patients (70+) with cancer and their association with therapy-related toxicity Imke Ortland1, Monique Mendel Ott1, Michael Kowar2, Christoph Sippel3, Yon-Dschun Ko3#, Andreas H. Jacobs2#, Ulrich Jaehde1# 1 Institute of Pharmacy, Department of Clinical Pharmacy, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany 2 Department of Geriatrics and Neurology, Johanniter Hospital Bonn, Johanniterstr. 1-3, 53113 Bonn, Germany 3 Department of Oncology and Hematology, Johanniter Hospital Bonn, Johanniterstr. 1-3, 53113 Bonn, Germany # equal contribution Corresponding author Ulrich Jaehde Institute of Pharmacy University of Bonn An der Immenburg 4 53121 Bonn, Germany Phone: +49 228-73-5252 Fax: +49-228-73-9757 [email protected] Medication risks in older patients with cancer 2 Abstract Objectives To evaluate medication-related risks in older patients with cancer and their association with severe toxicity during antineoplastic therapy. Methods This is a secondary analysis of two prospective, single-center observational studies which included patients ≥ 70 years with cancer. The patients’ medication was investigated regarding possible risks: polymedication (defined as the use of ≥ 5 drugs), potentially inadequate medication (PIM; defined by the EU(7)-PIM list), and relevant potential drug- drug interactions (rPDDI; analyzed by the ABDA interaction database). The risks were analyzed at two different time points: before and after start of cancer therapy. Severe toxicity during antineoplastic therapy was captured from medical records according to the Common Terminology Criteria for Adverse Events (CTCAE). The association between Grade ≥ 3 toxicity and medication risks was evaluated by univariate regression. -
Ehealth DSI [Ehdsi V2.2.2-OR] Ehealth DSI – Master Value Set
MTC eHealth DSI [eHDSI v2.2.2-OR] eHealth DSI – Master Value Set Catalogue Responsible : eHDSI Solution Provider PublishDate : Wed Nov 08 16:16:10 CET 2017 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 1 of 490 MTC Table of Contents epSOSActiveIngredient 4 epSOSAdministrativeGender 148 epSOSAdverseEventType 149 epSOSAllergenNoDrugs 150 epSOSBloodGroup 155 epSOSBloodPressure 156 epSOSCodeNoMedication 157 epSOSCodeProb 158 epSOSConfidentiality 159 epSOSCountry 160 epSOSDisplayLabel 167 epSOSDocumentCode 170 epSOSDoseForm 171 epSOSHealthcareProfessionalRoles 184 epSOSIllnessesandDisorders 186 epSOSLanguage 448 epSOSMedicalDevices 458 epSOSNullFavor 461 epSOSPackage 462 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 2 of 490 MTC epSOSPersonalRelationship 464 epSOSPregnancyInformation 466 epSOSProcedures 467 epSOSReactionAllergy 470 epSOSResolutionOutcome 472 epSOSRoleClass 473 epSOSRouteofAdministration 474 epSOSSections 477 epSOSSeverity 478 epSOSSocialHistory 479 epSOSStatusCode 480 epSOSSubstitutionCode 481 epSOSTelecomAddress 482 epSOSTimingEvent 483 epSOSUnits 484 epSOSUnknownInformation 487 epSOSVaccine 488 © eHealth DSI eHDSI Solution Provider v2.2.2-OR Wed Nov 08 16:16:10 CET 2017 Page 3 of 490 MTC epSOSActiveIngredient epSOSActiveIngredient Value Set ID 1.3.6.1.4.1.12559.11.10.1.3.1.42.24 TRANSLATIONS Code System ID Code System Version Concept Code Description (FSN) 2.16.840.1.113883.6.73 2017-01 A ALIMENTARY TRACT AND METABOLISM 2.16.840.1.113883.6.73 2017-01 -
Chapter 2 Methodological Aspects
Chapter 2 Methodological aspects Chapter 2.1 Indications for antihypertensive drug use in a prescription database BLG van Wijk, OH Klungel, ER Heerdink, A de Boer Department of Pharmacoepidemiology & Pharmacotherapy, Utrecht Institute for Pharmaceutical Sciences, Utrecht University Submitted CHAPTER 2.1 Summary Background: Drugs termed antihypertensives are prescribed and registered for other indications than hypertension alone. In pharmacoepidemiological studies, this could introduce several forms of bias. The objective of this study was to determine the extent to which drugs classified as antihypertensive drugs are prescribed for other diseases than hypertension. Methods: The NIVEL database was used, containing prescriptions from a sample of general practitioners in The Netherlands. Classes of antihypertensive drugs were analyzed separately, based on ATC-codes: miscellaneous antihypertensives, diuretics, beta-blockers, calcium channel blockers and agents acting on the renin angiotensin system. In addition, these classes were further subdivided based on their specific mechanism of action. All first prescriptions of a patient in the database for an antihypertensive drug were selected. ICPC diagnoses studied were: increased blood pressure, hypertension without organ damage, hypertension with organ damage and hypertension with diabetes mellitus for which the above- defined antihypertensive drugs were prescribed. Results: Of 24,812 patients who received a first prescription for an antihypertensive drug, 63.0% received a first prescription for hypertension related diagnoses (diuretics: 54.1%, beta-blockers: 59.1%, calcium channel blockers: 60.3%, agents acting on the renin angiotensin system: 82.8% and miscellaneous antihypertensives: 64.6%). Subdividing and restricting these subgroups based on their mechanism of action yields a higher percentage of first prescriptions with hypertension related diagnoses (low-ceiling diuretics: 78.8%, selective beta- blockers: 69.9% and dihydropyridine calcium channel blockers: 76.8%). -
Thesis H Van Onzenoort.Pdf
Treatment adherence in hypertension methodological aspects and new strategies © Hein van Onzenoort, Nijmegen 2012 Layout: Tiny Wouters Cover: Multisign2 belettering & vormgeving Production: Ipskamp ISBN: 978-90-9026643-4 Treatment adherence in hypertension methodological aspects and new strategies PROEFSCHRIFT Ter verkrijging van de graad van doctor aan de Universiteit Maastricht, op gezag van de Rector Magnificus, Prof. mr. G.P.M.F. Mols, volgens het besluit van het College van Decanen, in het openbaar te verdedigen op woensdag 27 juni 2012 om 12.00 uur door H.A.W. van Onzenoort Promotores Prof.dr. P.W. de Leeuw Prof.dr. C. Neef Co-Promotores Dr. PH.M. van der Kuy (Orbis MC, Sittard) Dr. W.J. Verberk (Microlife Corporation, Taiwan) Beoordelingscommissie Prof.dr. H.A.J. Struijker Boudier (voorzitter) Prof.dr. H.J.G.M. Crijns Prof.dr. H.G. Leufkens (Universiteit Utrecht) Dr. P.J. Nelemans Prof.dr. M.C.J.M. Sturkenboom (Erasmus MC, Rotterdam) Contents Chapter 1 General introduction 7 Chapter 2 Effectiveness of interventions to improve adherence to treatment 19 in patients with hypertension: A systematic review Chapter 3 Electronic monitoring of adherence, treatment of hypertension and 55 blood pressure control American Journal of Hypertension 2012;25:54-59 Chapter 4 Effect of self-measurement of blood pressure on adherence to 69 treatment in patients with mild to moderate hypertension Journal of Hypertension 2010;28:622-627 Chapter 5 Assessing medication adherence simultaneously by electronic 83 monitoring and pill count in patients with -
Reseptregisteret 2014–2018 the Norwegian Prescription Database 2014–2018
LEGEMIDDELSTATISTIKK 2019:2 Reseptregisteret 2014–2018 The Norwegian Prescription Database 2014–2018 Reseptregisteret 2014–2018 The Norwegian Prescription Database 2014–2018 Christian Lie Berg Kristine Olsen Solveig Sakshaug Utgitt av Folkehelseinstituttet / Published by Norwegian Institute of Public Health Område for Helsedata og digitalisering Avdeling for Legemiddelstatistikk Juni 2019 Tittel/Title: Legemiddelstatistikk 2019:2 Reseptregisteret 2014–2018 / The Norwegian Prescription Database 2014–2018 Forfattere/Authors: Christian Berg, redaktør/editor Kristine Olsen Solveig Sakshaug Acknowledgement: Julie D. W. Johansen (English text) Bestilling/Order: Rapporten kan lastes ned som pdf på Folkehelseinstituttets nettsider: www.fhi.no / The report can be downloaded from www.fhi.no Grafisk design omslag: Fete Typer Ombrekking: Houston911 Kontaktinformasjon / Contact information: Folkehelseinstituttet / Norwegian Institute of Public Health Postboks 222 Skøyen N-0213 Oslo Tel: +47 21 07 70 00 ISSN: 1890-9647 ISBN: 978-82-8406-014-9 Sitering/Citation: Berg, C (red), Reseptregisteret 2014–2018 [The Norwegian Prescription Database 2014–2018] Legemiddelstatistikk 2019:2, Oslo, Norge: Folkehelseinstituttet, 2019. Tidligere utgaver / Previous editions: 2008: Reseptregisteret 2004–2007 / The Norwegian Prescription Database 2004–2007 2009: Legemiddelstatistikk 2009:2: Reseptregisteret 2004–2008 / The Norwegian Prescription Database 2004–2008 2010: Legemiddelstatistikk 2010:2: Reseptregisteret 2005–2009. Tema: Vanedannende legemidler / The Norwegian -
Impact of Risk Minimisation in Patients Treated with Rosiglitazone-Containing Products Commissioned by the European Medicines Ag
Impact of risk minimisation in patients treated with rosiglitazone-containing products Commissioned by the European Medicines Agency Procurement Procedure No. EMA/2010/38/CN STUDY PROTOCOL Risk minimisation in rosiglitazone-treated patients Protocol Table of contents Table of contents ............................................................................................................................. 2 1 Introduction ............................................................................................................................. 3 2 Specific aims ........................................................................................................................... 4 3 Methods ................................................................................................................................... 4 3.1 Setting and study population ............................................................................................. 4 3.2 Study design ..................................................................................................................... 5 3.3 Exposure definition and measurement ............................................................................... 5 3.4 Endpoints .......................................................................................................................... 6 3.4.1 Use of rosiglitazone in persons with contraindications ............................................... 6 3.4.2 Off-label use ............................................................................................................. -
Detecting Drug±Drug Interactions Using a Database for Spontaneous Adverse Drug Reactions: an Example with Diuretics and Non-Steroidal Anti-In¯Ammatory Drugs
Eur J Clin Pharmacol -2000) 56: 733±738 DOI 10.1007/s002280000215 PHARMACOEPIDEMIOLOGY AND PRESCRIPTION EugeÁ ne P. van Puijenbroek á Antoine C. G. Egberts Eibert R. Heerdink á Hubert G. M. Leufkens Detecting drug±drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and non-steroidal anti-in¯ammatory drugs Received: 27 April 2000 / Accepted in revised form: 7 September 2000 / Published online: 7 November 2000 Ó Springer-Verlag 2000 Abstract Objective: Drug±drug interactionsare rela- interval -CI) 1.1±3.7], which may indicate an enhanced tively rarely reported to spontaneous reporting systems eect of concomitant drug use. -SRSs) for adverse drug reactions. For this reason, the Conclusion: The ®ndings illustrate that spontaneous traditional approach for analysing SRS has major limi- reporting systems have a potential for signal detection tationsfor the detection of drug±drug interactions.We and the analysis of possible drug±drug interactions. The developed a method that may enable signalling of these method described may enable a more active approach possible interactions, which are often not explicitly in the detection of drug±drug interactionsafter mar- reported, utilising reports of adverse drug reactions in keting. data sets of SRS. As an example, the in¯uence of con- comitant use of diuretics and non-steroidal anti-in¯am- Key words Drug±drug interaction á matory drugs -NSAIDs) on symptoms indicating a Pharmacovigilance á Spontaneous reporting system decreased ecacy of diuretics was examined using reportsreceived by the NetherlandsPharmacovigilance Foundation Lareb. Introduction Methods: Reportsreceived between 1 January 1990 and 1 January 1999 of patientsolder than 50 yearswere in- Since the early 1960s, spontaneous reporting systems cluded in the study. -
Of 33 Appendix
Appendix: Algorithms used to identify variables in the study titled: Rosiglitazone use and post-discontinuation glycaemic control in two European countries, 2000-2010 Diagnostic codes used to Abstract the Danish National Registry of Patients Disease/condition ICD-8 code ICD-10 code Diabetes type 1 249.00; 249.06; 249.07; 249.09 E10.0, E10.1; E10.9 Diabetes type 2 250.00; 250.06; 250.07; 250.09 E11.0; E11.1; E11.9 Acute myocardial infarction 410 I21, I22, I23 Ischemic heart disease (acute 411-414 I20, I24, I25 and chronic) Congestive heart failure 427.09, 427.10, 427.11, I50, I11.0, I13.0, I13.2 427.19, 428.99, 782.49; Other cardiac disease 393–398, 400–404 I05–I09 Peripheral vascular disease 440, 441, 442, 443, 444, 445 I70, I71, I72, I73, I74, I77 Ischemic stroke 430-438 (cerebrovascular I63-64 disease) Alcoholism 291, 303, 577.10, 571.09, F10.1-F10.9, G31.2, G62.1, 571.10 G72.1, I42.6, K29.2, K86.0, Z72.1 Obesity 277.99 E65-E66 Mild liver disease 571, 573.01, 573.04 B18, K70.0–K70.3, K70.9, K71, K73, K74, K76.0 Moderate to severe liver 070.00, 070.02, 070.04, B15.0, B16.0, B16.2, B19.0, disease 070.06, 070.08, 573.00, K70.4, K72, K76.6, I85 456.00–456.09 Deep vein thrombosis 451.00 I81, I82 Pulmonary embolism 450.99 I26 ICD-8: http://www.sst.dk/Indberetning%20og%20statistik/Klassifikationer/SKS_download.aspx ICD-10: http://apps.who.int/classifications/apps/icd/icd10online/ Page 1 of 33 Diagnostic codes used to compute Charlson Comorbidity Index Disease ICD-8 code ICD-10 code Myocardial infarction 410 I21;I22;I23 Congestive heart failure -
Evaluation of Carcinogenicity Studies of Medicinal Products for Human Use Authorised Via the European Centralised Procedure
Regulatory Toxicology and Pharmacology xxx (2011) xxx–xxx Contents lists available at ScienceDirect Regulatory Toxicology and Pharmacology journal homepage: www.elsevier.com/locate/yrtph Evaluation of carcinogenicity studies of medicinal products for human use authorised via the European centralised procedure (1995–2009) ⇑ Anita Friedrich a, , Klaus Olejniczak b a Granzer Regulatory Consulting and Services, Zielstattstrasse 44, 81379 Munich, Germany b Federal Institute for Drugs and Medical Devices, Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany article info abstract Article history: Carcinogenicity data of medicinal products for human use that have been authorised via the European Received 25 October 2010 centralised procedure (CP) between 1995 and 2009 were evaluated. Carcinogenicity data, either from Available online xxxx long-term rodent carcinogenicity studies, transgenic mouse studies or repeat-dose toxicity studies were available for 144 active substances contained in 159 medicinal products. Out of these compounds, 94 Keywords: (65%) were positive in at least one long-term carcinogenicity study or in repeat-dose toxicity studies. Medicinal products Fifty compounds (35%) showed no evidence of a carcinogenic potential. Out of the 94 compounds with Carcinogenicity positive findings in either carcinogenicity or repeat-dose toxicity studies, 33 were positive in both mice Rodents and rats, 40 were positive in rats only, and 21 were positive exclusively in mice. Long-term carcinogenic- ity studies in two rodent species were available for 116 compounds. Data from one long-term carcinoge- nicity study in rats and a transgenic mouse model were available for eight compounds. For 13 compounds, carcinogenicity data were generated in only one rodent species. One compound was exclu- sively tested in a transgenic mouse model. -
Association of the STOPP Criteria V2 and the Fall-Risk-Increasing Drugs List with Falls in Older Hospitalized Patients
Association of the STOPP criteria v2 and the Fall-Risk-Increasing Drugs list with falls in older hospitalized patients Master thesis Medical Informatics Kimmy Raven, BSc 2 Project information Project information Author Kimberly (Kimmy) Raven, BSc. Student number: 11025913 [email protected] Mentor Birgit Damoiseaux-Volman, MSc. PhD student SCOPE study Department of Medical Informatics, Amsterdam University Medical Centers – location AMC [email protected] Tutor Dr. Danielle Sent – Assistant professor Department of Medical Informatics, Amsterdam University Medical Centers – location AMC [email protected] Location Department of Medical Informatics, Amsterdam University Medical Centers – location AMC Meibergdreef 9, 1105 AZ Amsterdam Period December 2019 – June 2020 Table of contents 3 Table of contents English summary ..................................................................................................................................... 4 Nederlandse samenvatting ..................................................................................................................... 5 1. Introduction ........................................................................................................................................ 6 1.1 Objective ....................................................................................................................................... 7 2. Methods ............................................................................................................................................. -
Summary of Product Characteristics 1
SUMMARY OF PRODUCT CHARACTERISTICS 1 NAME OF THE MEDICINAL PRODUCT Pamid Tablets 2 QUALITATIVE AND QUANTITATIVE COMPOSITION Each tablet contains 2.5 mg Indapamide For the full list of excipients see section 6.1 3 PHARMACEUTICAL FORM tablet White, convex, scored in one side 4 CLINICAL PARTICULARS 4.1 Therapeutic indications Diuretic for the treatment of hypertension and fluid retention 4.2 Posology and method of administration Oral use Adults: The dosage of one tablet, containing 2.5mg indapamide, to be taken daily in the morning. Renal failure (see sections 4.3 and 4.4) In severe renal failure (creatinine clearance below 30 ml/min), treatment is contraindicated. Thiazides and related diuretics are fully effective only when renal function is normal or only minimally impaired. Elderly (see section 4.4): As for adults. In the elderly, the plasma creatinine must be adjusted in relation to age, weight and gender. Elderly patients can be treated with indapamide when renal function is normal or only minimally impaired. Hepatic impairment (see sections 4.3 and 4.4) In severe hepatic impairment, treatment is contraindicated. Children and adolescents: Indapamide is not recommended for use in children and adolescents due to a lack of data on safety and efficacy. The action of indapamide is progressive and the reduction of blood pressure may continue and not reach a maximum until several months after the start of therapy. A larger dose than 2.5mg indapamide daily is not recommended as there is no appreciable additional anti-hypertensive effect but a diuretic effect may become apparent. If a single daily tablet of indapamide does not achieve a sufficient reduction in blood pressure, another antihypertensive agent may be added such as beta-blockers, ACE inhibitors, methyldopa, clonidine and other adrenergic blocking agents.