Download Free Medical Adverse Drug Reactions PowerPoint Presentation

Adverse Drug Reactions PowerPoint Presentation

DOWNLOAD MEDICAL POWERPOINT PRESENTATION

About This Presentation

Description : Check out this medical presentation on Adverse Drug Events, which is titled "Adverse Drug Reactions - Causality Assessment", to know about the difference between extrinsic and intrinsic causality and be able to apply two different causality models (WHO model and Naranjo algorithm).

Tags : Adverse Drug Events, Adverse Drug Reactions, Causality Assessment, extrinsic, intrinsic causality, causality models, WHO model, Naranjo algorithm

Published on : Jul 20, 2021 | Views : 2932 | Downloads : 0

Shareable Url :

Embed Code :

Comment

Transcript

Slide 1-

Prof E. P. van Puijenbroek, MD, PhD October 2018 Causality assessment Using causality models
Slide 2-

Know the difference between extrinsic and intrinsic causality Be able to apply two different causality models WHO model Naranjo algorithm Learning Objectives
Slide 3-

Extrinsic and intrinsic factors Causality models Practical examples Outline
Slide 4-

Question 1 It is important to annotate the strength of the causal relationship between drug and adverse drug reaction Agree Do not agree
Slide 5-

Question 2 Do you think it is possible to determine the strength of the causal relationship between drug and adverse drug reaction? Agree Do not agree
Slide 6-

Literature and product information- MEB / EMA- Medline Background Incidence- Literature Prescription data- GIPdatabank.nl Databse- Lareb (NL)- Eudravigilance (EMA), Vigibase (WHO) Extrinsic factors“How well known is this ADR?”
Slide 7-

Pharmacological plausibility- kinetic, dynamic, chemical structure- latency, dechallenge- co-medication Patient-related- indication, comorbidity, renal function- Drug metabolism Intrinsic factors“What patient- or drug related factors play a role?”
Slide 8-

Extrinsic and intrinsic factors Causality models Practical examples Outline
Slide 9-

Regulatory requirements: e.g. causality assessment for each report mandatory when submitting reports to EMA Publications of case reports Individual patient care When to use causality assessment?
Slide 10-

Agbabiaka TB1,Savovic J,Ernst E. Methods for causality assessment of adverse drug reactions: a systematic review. Drug Saf. 2008;31(1):21-37.
Slide 11-

Agbabiaka TB1,Savovic J,Ernst E. Methods for causality assessment of adverse drug reactions: a systematic review. Drug Saf. 2008;31(1):21-37.
Slide 12-

Types of causality models Expert judgement/global introspection: individual assessments based on previous knowledge and experience. Algorithms: set of specific questions to estimate te strength of the causal relationship. Probabilistic methods (Bayesian approaches): Transform the prior estimate of probability into a posterior estimate of probability of drug causation.
Slide 13-

WHO causality definitions CERTAINa clinical event, including laboratory test abnormality, occurring in a plausible time relationship to drug administration, and which cannot be explained by concurrent disease or other drugs or chemicals. The response to withdrawal of the drug (dechallenge) should be clinically plausible. The event must be definitive pharmacologically, using a satisfactory rechallenge procedure if necessary. PROBABLE/LIKELYA clinical event, including laboratory test abnormality, with a reasonable time sequence to administration of the drug, unlikely to be attributed to concurrent disease or other drug or chemicals, and which follows a clinically reasonable response on withdrawal (dechallenge). Rechallenge information is not required to fulfil this defenition. POSSIBLEA clinical event, including laboratory test abnormality, with a reasonable timne sequence to administration of the drug, but which could also be explained by concurrent disease or other drugs or chemicals. Information on drug withdrawal may be lacking or unclear. UNLIKELYA clinical event, including laboratory test abnormality, with a temporal relationship to drug administration which makes a causal relationship improbable, and in which other drug, chemicals or underlying disease provide plausible explanations.
Slide 14-

WHO classification
Slide 15-

Naranjo algorithm Systematic causality assessment- 10 questions- Sum score- 63 cases from the literature- only 3 assessors Naranjo et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther 1981;239-245
Slide 16-

Naranjo algorithm - elements
Slide 17-

≥ 9 5-8 1-4 ≤ 0 certain probable possible unlikely Naranjo algorithm – sum score
Slide 18-

Extrinsic and intrinsic factors Causality models Practical examples Outline
Slide 19-

Case 1 Reporter: pharmacist Female, 60 years Complaints: flu-like symptoms Suspect drug:risedronate (Actonel®) 1x / week 35 mg for osteoporosis Concomitant-medication:omeprazole and lormetazepam
Slide 20-

Severe symptoms: muscle pain neck and shoulders, headaches, fever and general malaise, about half a day after ingestion Complaints take approximately 5 days After next intake same complaints increased Description symtoms
Slide 21-

Unlikely Possible Probable Certain Why? How do you rate the causality? Text
Slide 22-

Switch to risedronate 5 mg once dailyno effect on any of the symptoms Medication changed intoalendronate (Fosamax®) 1x / week, 70 mgno complaints anymore Course of reaction
Slide 23-

ppt slide no 23 content not found
Slide 24-

Background information Summary of Product Characteristics Literature Reported ADRs (WHO)
Slide 25-

Background information Flu syndromeFlu syndrome was reported in 9,8% of patients enrolled in phase 3 Paget’s disease clinical trials with risedronate (Prod Info Actonel®, 2002). Flu-like symptomsFlu-like symptoms (muscle pain, bone pain, hot flushes, increased sweating) have been reported with the use of ibandronate (Anon, 1996). Flu-like symptomsnonspecific flu-like symptoms including fever, chills, bone pain, arthralgia, and myalgia have been described in some patients treated with zoledronic acid…
Slide 26-

Background information WHO:- > 150 reports of flu-like symptoms and bisphosphonatesReporting Odds Ratio:● Alendronate 0,92 (0,69-1,24)● Pamidronate 10,7 (8,29-13,85)● Risedronate 3,51 (2,20-5,59)● Zoledronate 11,0 (7,98-15,17)- Association flu-like symptoms + alendronate n.s.- Association other bisphosphonates and this ADR statistical signal
Slide 27-

ppt slide no 27 content not found
Slide 28-

Naranjo score ≥ 9 5-8 1-4 ≤ 0 certain probable possible unlikely
Slide 29-

Causation may be difficult to assess in practice There are various models of causality in use Validation leaves much to be desired, situations in which they are applied are often too specific Summary
Slide 30-

To be able to use two different causality model for the assessment of adverse drug reactions- Causality scheme of Naranjo- Knowing the difference between extrinsic and intrinsic causality Evaluation of a case report, using elements that play a role in the assessment of ADRs Learning Objectives
Slide 31-

Exam question –example 1 Causality assessment van be divided into intrinsic and extrinsic factors. Classify the factors in the base below: A female patient, aged 60 years, suffered from dizziness due to orthostatic hypotension, a few hours after every administration of metoprolol for tachycardia. The dizziness resolved after 6 hours. Dizziness is described in the Summary of Product Characteristics (SmPC) of metoprolol as a frequently occuring adverse drug reaction (ADR). The patient’s medical history indicates that she also had sleep disorders and uses temazepam (a benzodiazepine). Which if the following classifications is TRUE? Description of the ADR in the SmPC and the frequency of the ADR are both intrinic factors Orthostatic hypotension can pharmacologically be explained, which is an extrinsic factor A positive dechallenge and a positive rechallenge are both intrinsic factors. Concomitant drug tamezepam can cause dizziness, which is an extrinsic factor.
Slide 32-

Exam question – example 2 The Naranjo algorithm is a tool that can be used in the causality assessment of possible adverse drug reactions. In this algorithm, the following aspects play a role: 1) Severity 2) Dechallenge 3) Rechallenge 4) Alternative causes Which of the following statements is correct? 1 and 2 are true, 3 and 4 are false 2,3 and 4 are true, 1 is false All statements are true All statements are false
Slide 33-

Taofikat B. Agbabiaka, Jelena Savovi, Edzard Ernst. Methods for Causality Assessment of Adverse Drug Reactions A Systematic Review. Drug Safety 2008; 31 (1): 21-37 Anonymous. The use of the WHO-UMC system for standardised case causality assessment. Website Uppsala Monitoring Centre. http://www.who.int/medicines/areas/quality_safety/safety_efficacy/WHOcausality_assessment.pdf Naranjo et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther 1981;239-245 Literature causality assessment
Slide 34-

Thank you for your attention