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Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm

Received: 7 December 2021    Accepted: 29 December 2021    Published: 31 December 2021
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Abstract

The Naranjo adverse drug reaction likelihood scale was elaborated to assist standardizes apprehensiveness of causality for entire adverse drug reaction.). Adverse drug reaction is an unpleasant or detrimental reaction proficiency pursuing the administration of a medication or combination of medications under usual circumstances of usage, which is doubted to be affiliated to the medicine. Causality delineated as the likelihood that a specific medication is accountable for a secluded consequence or adverse drug reaction. Certain (doubtful) causality if the total score is zero or lower. Possible causality delineated as if the total score is one to four. When a medical circumstances happens with a consequent time resultant to medication uptake, but which could be described by coincident malady or distinctive medication uptake. Probable or likely causality delineated as if the total score is five to eight. When a medical circumstance happens with a well-founded time consequence to medication uptake and is questionably to be owing to every coincident infirmity or disparate medication uptake. When a medical circumstances enclosing laboratory parameters anomaly happens in a presumptive time consociated to medication administered to the patients and cannot be described by coincident malady or distinctive medications or pharmaceutical products; administer of the mediation redundantly antecedents a connate response or reaction to discontinuation presumptive (a medicines qualities consequences, and relating to the study of malady).

Published in International Journal of Pharmacy and Chemistry (Volume 7, Issue 6)
DOI 10.11648/j.ijpc.20210706.14
Page(s) 125-127
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Adverse Drug Reaction, Causality, Naranjo Algorithm

References
[1] Chiappini, S., Schifano, F., Corkery, J. M., & Guirguis, A. (2021). Beyond the ‘purple drank’: Study of promethazine abuse according to the European Medicines Agency adverse drug reaction reports. Journal of Psychopharmacology, 0269881120959615.
[2] Khandeparkar, A., & Rataboli, P. V. (2017). A study of harmful drug–drug interactions due to polypharmacy in hospitalized patients in Goa Medical College. Perspectives in clinical research, 8 (4), 180.
[3] Kahn LM, Al-Harthi SE, Osman AM, Sattar MA, Ali AS. Dilemmas of the causality assessment tools in the diagnosis of adverse drug reactions. Saudi Pharm J. 2016; 24: 485–92.
[4] Naranjo CA, Busto U, Sellers EM, Sandor P, Ruiz I, Roberts EA, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther. 1981; 30 (2): 239–45.
[5] Bereda G. Evaluation of Patients Pharmaceutical Care Needs Unmet and Associated Factors in Pediatric Ward of Mettu Karl Referral Hospital, South Western Oromia, Ethiopia: A Prospective Observational Study, 2021. Ann Pediatr Child Health 2021; 9 (7): 1254.
[6] Doherty MJ. Algorithms for assessing the probability of an adverse drug reaction. Respir Med CME. 2009; 2: 63–7.
[7] Arimone Y, Miremont-Salame´ G, Haramburu F, Molimard M, Moore N, Fourrier-Re´glat A, et al. Inter-expert agreement of seven criteria in causality assessment of adverse drug reactions. Br J Clin Pharmacol. 2007; 64 (4): 482–8.
[8] Tiwari, P., & Deshwal, P. R. (2021). Pharmacovigilance. In Drug Discovery and Development (pp. 435-449). Springer, Singapore.
[9] Theophile H, Andre´ M, Arimone Y, Haramburu F, MiremontSalame´ G, Be´gaud B. An updated method improved the assessment of adverse drug reaction in routine pharmacovigilance. J Clin Epidemiol. 2012; 65: 1069–77.
[10] Mascolo, A., Scavone, C., Sessa, M., di Mauro, G., Cimmaruta, D., Orlando, V., & Capuano, A. (2017). Can causality assessment fulfill the new European definition of adverse drug reaction? A review of methods used in spontaneous reporting. Pharmacological research, 123, 122-129.
[11] Acar, S., & Runco, M. A. (2019). Divergent thinking: New methods, recent research, and extended theory. Psychology of Aesthetics, Creativity, and the Arts, 13 (2), 153.
[12] Cock, H. R. (2015). Drug-induced status epilepticus. Epilepsy & Behavior, 49, 76-82.
[13] Di Lorenzo, C., Ceschi, A., Kupferschmidt, H., Lüde, S., De Souza Nascimento, E., Dos Santos, A., & Restani, P. (2015). Adverse effects of plant food supplements and botanical preparations: a systematic review with critical evaluation of causality. British journal of clinical pharmacology, 79 (4), 578-592.
[14] Danan, G., & Teschke, R. (2018). Drug-induced liver injury: why is the Roussel Uclaf Causality Assessment Method (RUCAM) still used 25 years after its launch? Drug safety, 41 (8), 735-743.
[15] Danjuma, M. I. M. U., Almasri, H., Alshokri, S., Khir, F. K., Elmalik, A., Battikh, N. G., & Elzouki, A. N. (2020). Avoidability of drug-induced liver injury (DILI) in an elderly hospital cohort with cases assessed for causality by the updated RUCAM score. BMC geriatrics, 20 (1), 1-8.
[16] Kane-Gill SL, Forsberg EA, Verrico MM, Handler SM. Comparison of three pharmacovigilance algorithms in the ICU setting: a retrospective and prospective evaluation of ADRs. Drug Saf. 2012; 35 (8): 645–53.
[17] The´ophile H, Arimone Y, Miremont-Salame´ G, Moore N, Fourrier-Re´glat A, Haramburu F, et al. Comparison of three methods (consensual expert judgment, algorithmic and probabilistic approaches) of causality assessment of adverse drug reactions: an assessment using reports made to a French pharmacovigilance center. Drug Saf. 2010; 33 (11): 1045–54.
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  • APA Style

    Gudisa Bereda. (2021). Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm. International Journal of Pharmacy and Chemistry, 7(6), 125-127. https://doi.org/10.11648/j.ijpc.20210706.14

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    ACS Style

    Gudisa Bereda. Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm. Int. J. Pharm. Chem. 2021, 7(6), 125-127. doi: 10.11648/j.ijpc.20210706.14

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    AMA Style

    Gudisa Bereda. Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm. Int J Pharm Chem. 2021;7(6):125-127. doi: 10.11648/j.ijpc.20210706.14

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  • @article{10.11648/j.ijpc.20210706.14,
      author = {Gudisa Bereda},
      title = {Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm},
      journal = {International Journal of Pharmacy and Chemistry},
      volume = {7},
      number = {6},
      pages = {125-127},
      doi = {10.11648/j.ijpc.20210706.14},
      url = {https://doi.org/10.11648/j.ijpc.20210706.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijpc.20210706.14},
      abstract = {The Naranjo adverse drug reaction likelihood scale was elaborated to assist standardizes apprehensiveness of causality for entire adverse drug reaction.). Adverse drug reaction is an unpleasant or detrimental reaction proficiency pursuing the administration of a medication or combination of medications under usual circumstances of usage, which is doubted to be affiliated to the medicine. Causality delineated as the likelihood that a specific medication is accountable for a secluded consequence or adverse drug reaction. Certain (doubtful) causality if the total score is zero or lower. Possible causality delineated as if the total score is one to four. When a medical circumstances happens with a consequent time resultant to medication uptake, but which could be described by coincident malady or distinctive medication uptake. Probable or likely causality delineated as if the total score is five to eight. When a medical circumstance happens with a well-founded time consequence to medication uptake and is questionably to be owing to every coincident infirmity or disparate medication uptake. When a medical circumstances enclosing laboratory parameters anomaly happens in a presumptive time consociated to medication administered to the patients and cannot be described by coincident malady or distinctive medications or pharmaceutical products; administer of the mediation redundantly antecedents a connate response or reaction to discontinuation presumptive (a medicines qualities consequences, and relating to the study of malady).},
     year = {2021}
    }
    

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    T1  - Classifying Causality of an Adverse Drug Reaction: Naranjo Algorithm
    AU  - Gudisa Bereda
    Y1  - 2021/12/31
    PY  - 2021
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    T2  - International Journal of Pharmacy and Chemistry
    JF  - International Journal of Pharmacy and Chemistry
    JO  - International Journal of Pharmacy and Chemistry
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    AB  - The Naranjo adverse drug reaction likelihood scale was elaborated to assist standardizes apprehensiveness of causality for entire adverse drug reaction.). Adverse drug reaction is an unpleasant or detrimental reaction proficiency pursuing the administration of a medication or combination of medications under usual circumstances of usage, which is doubted to be affiliated to the medicine. Causality delineated as the likelihood that a specific medication is accountable for a secluded consequence or adverse drug reaction. Certain (doubtful) causality if the total score is zero or lower. Possible causality delineated as if the total score is one to four. When a medical circumstances happens with a consequent time resultant to medication uptake, but which could be described by coincident malady or distinctive medication uptake. Probable or likely causality delineated as if the total score is five to eight. When a medical circumstance happens with a well-founded time consequence to medication uptake and is questionably to be owing to every coincident infirmity or disparate medication uptake. When a medical circumstances enclosing laboratory parameters anomaly happens in a presumptive time consociated to medication administered to the patients and cannot be described by coincident malady or distinctive medications or pharmaceutical products; administer of the mediation redundantly antecedents a connate response or reaction to discontinuation presumptive (a medicines qualities consequences, and relating to the study of malady).
    VL  - 7
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    ER  - 

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Author Information
  • Department of Pharmacy, Negelle Health Science College, Guji, Ethiopia

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