Literature DB >> 23983309

Clinical causality assessment for adverse drug reactions.

Satyen Parida1.   

Abstract

Entities:  

Year:  2013        PMID: 23983309      PMCID: PMC3748705          DOI: 10.4103/0019-5049.115608

Source DB:  PubMed          Journal:  Indian J Anaesth        ISSN: 0019-5049


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Sir, I have read with interest the articles of Chowdhry et al., and Tripathy et al., on adverse reactions to various drugs published in IJA.[12] I would like to address certain issues related to reporting of adverse drug reactions (ADR). ADRs caused by immune and non-immune mechanisms are a major cause of morbidity and mortality worldwide. Hence, it is important to identify ADRs and to demonstrate a causal relationship between the drug and the untoward clinical event. Causality assessment is used to determine the likelihood that a drug caused a suspected ADR. There are a number of methods used to judge causation. Each has pros and cons associated with its use and most require some level of expert judgement to apply. The causality assessment systems put forth by the World Health Organisation Collaborating Centre for International Drug Monitoring, the Uppsala Monitoring Centre (WHO-UMC), the Naranjo Probability Scale and the Venulet algorithm are the generally accepted and most widely used methods for causality assessment in clinical practice as they are simple to apply.[345] The WHO-UMC Causality Assessment System and the Naranjo Probability Scale offer objective, reliable and valid causality assessment of ADRs along with the convenience of being easy to apply methods. Table 1 depicts the “Naranjo Probability Scale,” which may be helpful for assessing unexpected ADRs and useful for evaluators with little experience.[4] The WHO-UMC causality system is basically a combined assessment, taking into account the clinical-pharmacological aspects of the case history and the quality of documentation of observation, while prior knowledge of the ADR plays a less significant part. Table 2 shows the WHO-UMC Causality Assessment System.[3]
Table 1

The Naranjo adverse drug reaction probability scale[4]

Table 2

WHO-UMC causality categories[3]

The Naranjo adverse drug reaction probability scale[4] WHO-UMC causality categories[3] For each of these methods, the quality of data and documentation influence the reliability of the method. Moreover, individual systems of causality assessment have, in some instances, found to be non-comparable.[6] In fact, Agbabiaka et al.,[7] conclude that there is still no method universally accepted for causality assessment of ADRs. Thus, validating an ADR report needs to take into consideration which causality assessment technique was employed. Anaesthesiologists can be encouraged to use assessment based on either of the above two scales while reviewing articles related to ADRs.
  6 in total

1.  [Adverse drug reactions: Naranjo's and Venulet's algorithms].

Authors:  G Tiberio López; J Hueto Pérez de Heredia; M Moreno Baquedano; L García de Lucas; J Sánchez Alvarez; C Nagore Indurain; A Rivero Puente
Journal:  Rev Clin Esp       Date:  1992-10       Impact factor: 1.556

Review 2.  Methods for causality assessment of adverse drug reactions: a systematic review.

Authors:  Taofikat B Agbabiaka; Jelena Savović; Edzard Ernst
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

3.  Updating of a method for causality assessment of adverse drug reactions.

Authors:  J Venulet; A G Ciucci; G C Berneker
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1986-10

4.  A method for estimating the probability of adverse drug reactions.

Authors:  C A Naranjo; U Busto; E M Sellers; P Sandor; I Ruiz; E A Roberts; E Janecek; C Domecq; D J Greenblatt
Journal:  Clin Pharmacol Ther       Date:  1981-08       Impact factor: 6.875

5.  Adverse drug reaction, patent blue V dye and anaesthesia.

Authors:  Swagata Tripathy; Priya V Nair
Journal:  Indian J Anaesth       Date:  2012-11

6.  Anaphylaxis to vecuronium: A rare event.

Authors:  Vivek Chowdhry; Giri Debasish; Samantaray Dharmajivan
Journal:  Indian J Anaesth       Date:  2012-05
  6 in total
  6 in total

1.  Compensation for clinical trial-related injury and death in India: challenges and the way forward.

Authors:  Yogendra Kumar Gupta; Arun Kumar Pradhan; Aman Goyal; Prafull Mohan
Journal:  Drug Saf       Date:  2014-12       Impact factor: 5.606

2.  Local anaesthetic systemic toxicity following oral ingestion in a child: Revisiting dibucaine.

Authors:  Raylene Dias; Nandini Dave; Milind S Tullu; Chandrahas T Deshmukh
Journal:  Indian J Anaesth       Date:  2017-07

3.  Syndrome of inappropriate antidiuretic hormone secretion induced by suvorexant: a case report.

Authors:  Manabu Takano; Tsuyoshi Okada; Toshiyuki Kobayashi; Shiro Suda
Journal:  J Clin Sleep Med       Date:  2021-03-01       Impact factor: 4.062

4.  Acute Effusive Pericarditis due to Horse Chestnut Consumption.

Authors:  Efe Edem; Behlül Kahyaoğlu; Mehmet Akif Çakar
Journal:  Am J Case Rep       Date:  2016-05-04

Review 5.  Hospitalization in older patients due to adverse drug reactions -the need for a prediction tool.

Authors:  Nibu Parameswaran Nair; Leanne Chalmers; Gregory M Peterson; Bonnie J Bereznicki; Ronald L Castelino; Luke R Bereznicki
Journal:  Clin Interv Aging       Date:  2016-05-02       Impact factor: 4.458

6.  An assessment of reported adverse drug reactions in a Tertiary Care Hospital in South India: A retrospective cross-sectional study.

Authors:  Sandeep Kumar Gupta; K Deva Kumar
Journal:  Int J Pharm Investig       Date:  2017 Oct-Dec
  6 in total

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