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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2020-03-28</publicationDate>
    
        <volume>13</volume>
        <issue>1</issue>

 
    <startPage>79</startPage>
    <endPage>83</endPage>

	 
      <doi>10.13005/bpj/1863</doi>
        <publisherRecordId>30396</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Study of Agreement between WHO-UMC Causality Assessment System and the Naranjo Algorithm for Causality Assessment of Adverse Drug Reactions Observed in Medical ICU of a Tertiary Care Teaching Hospital</title>

    <authors>
	 


      <author>
       <name>Tejas A. Acharya</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Madhav D. Trivedi</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Krupal J. Joshi</name>

		
	<affiliationId>2</affiliationId>
      </author>
    

	 


      <author>
       <name>Sunita B. Chhaiya</name>

		
	<affiliationId>1</affiliationId>
      </author>
    


	 


      <author>
       <name>Dimple S. Mehta</name>

		
	<affiliationId>1</affiliationId>
      </author>
    


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of Pharmacology, C. U. Shah Medical College, Surendranagar, India 363001</affiliationName>
    

		
		<affiliationName affiliationId="2">Department of Community Medicine, C. U. Shah Medical College, Surendranagar, India 363001</affiliationName>
    
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Causality assessment is crucial step involved during assessment of Adverse Drug Reactions (ADRs). WHO-UMC causality assessment system and Naranjo algorithm are widely used methods for analysis of ADRs. Study was carried out to evaluate agreement between WHO-UMC causality assessment system and the Naranjo algorithm for causality assessment of ADRs observed in medical ICU of a tertiary care teaching hospital. Causality assessment of all ADRs was done by both WHO-UMC causality assessment system as well as the Naranjo algorithm and classified accordingly. Total 59 ADRs were analyzed. According to WHO-UMC system causal relationship between drug and ADR was certain in 16 ((27.12%), probable in 22 (37.29%), possible in 17 (28.81%), unclassified in 01 (01.69%) and unclassifiable in 03 (05.09%). As per Naranjo algorithm causality was definite in 10 (16.95%), probable in 26 (44.07%) and possible in 23 (38.98%) cases. The agreement between two scales was highest for probable (84.2%) category followed by possible (73.92%) and certain/definite (62.5%) category. on comparing overall agreement between WHO-UMC causality assessment system and Naranjo algorithm using weighted Kappa (κ) test “Moderate” agreement was established (Kappa statistics with 95% confidence interval = 0.60 [0.441,0.758]). For Better evaluation it is recommended to use both the criteria while assessment of causality of ADRs.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol13no1/a-study-of-agreement-between-who-umc-causality-assessment-system-and-the-naranjo-algorithm-for-causality-assessment-of-adverse-drug-reactions-observed-in-medical-icu-of-a-tertiary-care-teachi/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Causality Assessment</keyword>
      

      
        <keyword> Naranjo Algorithm</keyword>
      

      
        <keyword> WHO-UMC System</keyword>
      
</keywords>
  </record>
</records>