Naranjo algorithm
The Naranjo Algorithm, also known as the Naranjo Scale or Naranjo Nomogram, is a methodological tool conceptualized by Naranjo and his colleagues. Its primary function is to assess the likelihood of an Adverse Drug Reaction (ADR) being attributable to a drug as opposed to other potential factors.[1]
Purpose and Application
In clinical practice and research, distinguishing between genuine ADRs and symptoms stemming from other causes can be challenging. The Naranjo Algorithm facilitates this by providing a structured framework to:
- Gauge the probability of a drug causing an ADR
- Help healthcare professionals make informed decisions about medication safety
- Support authors in peer reviews by verifying the validity of conclusions concerning ADRs[2]
Questionnaire
The questionnaire comprises ten questions, each designed to elicit information relevant to the causative role of the drug in the observed ADR.
- Previous Reports
- Have there been previous conclusive reports on this reaction?
- Yes (+1) | No (0) | Do not know/not done (0)
- Have there been previous conclusive reports on this reaction?
- Adverse Event Post-Drug Administration
- Did the adverse event appear after the suspected drug was administered?
- Yes (+2) | No (-1) | Do not know/not done (0)
- Did the adverse event appear after the suspected drug was administered?
- Improvement upon Discontinuation
- Did the adverse reaction improve when the drug was discontinued or a specific antagonist administered?
- Yes (+1) | No (0) | Do not know/not done (0)
- Did the adverse reaction improve when the drug was discontinued or a specific antagonist administered?
- Reaction on Re-administration
- Did the adverse reaction appear when the drug was readministered?
- Yes (+2) | No (-1) | Do not know/not done (0)
- Did the adverse reaction appear when the drug was readministered?
- Alternative Causes
- Could there be alternative causes for the reaction?
- Yes (-1) | No (+2) | Do not know/not done (0)
- Could there be alternative causes for the reaction?
- Reaction to Placebo
- Did the reaction reappear when a placebo was given?
- Yes (-1) | No (+1) | Do not know/not done (0)
- Did the reaction reappear when a placebo was given?
- Toxic Concentrations
- Was the drug detected in any body fluid in toxic concentrations?
- Yes (+1) | No (0) | Do not know/not done (0)
- Was the drug detected in any body fluid in toxic concentrations?
- Reaction Severity with Dose Changes
- Was the reaction more severe with increased dose or less severe with decreased dose?
- Yes (+1) | No (0) | Do not know/not done (0)
- Was the reaction more severe with increased dose or less severe with decreased dose?
- Previous Exposure
- Did the patient have a similar reaction to the same/similar drugs in any previous exposure?
- Yes (+1) | No (0) | Do not know/not done (0)
- Did the patient have a similar reaction to the same/similar drugs in any previous exposure?
- Objective Evidence
- Was the adverse event confirmed by any objective evidence?
- Yes (+1) | No (0) | Do not know/not done (0)
- Was the adverse event confirmed by any objective evidence?
Scoring
Based on the cumulative score derived from the questionnaire:
- ≥ 9: Definite ADR
- 5-8: Probable ADR
- 1-4: Possible ADR
- 0: Doubtful ADR
Significance and Limitations
While the Naranjo Scale provides a systematic approach to evaluating ADRs, like any tool, it has limitations. The questionnaire relies heavily on the subjective assessment and knowledge of the evaluator. Consequently, it is crucial to apply the Naranjo Algorithm within its intended context, understanding its strengths and constraints.[3]
References
- ↑ Naranjo CA, Busto U, Sellers EM, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther 1981;30:239-45.
- ↑ Agbabiaka TB, Savovic J, Ernst E. Methods for causality assessment of adverse drug reactions: a systematic review. Drug Saf 2008;31:21-37.
- ↑ Ribeiro-Vaz I, Santos CC, Cruz-Correia R. A method and a computational tool to assess drug causality in adverse drug reactions: pilot study. Drugs Real World Outcomes. 2018;5(1):47-55.
External links
Transform your life with W8MD's budget GLP-1 injections from $125.
W8MD offers a medical weight loss program to lose weight in Philadelphia. Our physician-supervised medical weight loss provides:
- Most insurances accepted or discounted self-pay rates. We will obtain insurance prior authorizations if needed.
- Generic GLP1 weight loss injections from $125 for the starting dose.
- Also offer prescription weight loss medications including Phentermine, Qsymia, Diethylpropion, Contrave etc.
NYC weight loss doctor appointments
Start your NYC weight loss journey today at our NYC medical weight loss and Philadelphia medical weight loss clinics.
- Call 718-946-5500 to lose weight in NYC or for medical weight loss in Philadelphia 215-676-2334.
- Tags:NYC medical weight loss, Philadelphia lose weight Zepbound NYC, Budget GLP1 weight loss injections, Wegovy Philadelphia, Wegovy NYC, Philadelphia medical weight loss, Brookly weight loss and Wegovy NYC
|
WikiMD's Wellness Encyclopedia |
| Let Food Be Thy Medicine Medicine Thy Food - Hippocrates |
Medical Disclaimer: WikiMD is not a substitute for professional medical advice. The information on WikiMD is provided as an information resource only, may be incorrect, outdated or misleading, and is not to be used or relied on for any diagnostic or treatment purposes. Please consult your health care provider before making any healthcare decisions or for guidance about a specific medical condition. WikiMD expressly disclaims responsibility, and shall have no liability, for any damages, loss, injury, or liability whatsoever suffered as a result of your reliance on the information contained in this site. By visiting this site you agree to the foregoing terms and conditions, which may from time to time be changed or supplemented by WikiMD. If you do not agree to the foregoing terms and conditions, you should not enter or use this site. See full disclaimer.
Credits:Most images are courtesy of Wikimedia commons, and templates, categories Wikipedia, licensed under CC BY SA or similar.
Translate this page: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
தமிழ்,
తెలుగు,
Urdu,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
বাংলা
European
español,
Deutsch,
français,
Greek,
português do Brasil,
polski,
română,
русский,
Nederlands,
norsk,
svenska,
suomi,
Italian
Middle Eastern & African
عربى,
Turkish,
Persian,
Hebrew,
Afrikaans,
isiZulu,
Kiswahili,
Other
Bulgarian,
Hungarian,
Czech,
Swedish,
മലയാളം,
मराठी,
ਪੰਜਾਬੀ,
ગુજરાતી,
Portuguese,
Ukrainian
Contributors: Prab R. Tumpati, MD