The Beers Criteria is a standardized compendium of medications for which the risks of adverse drug events generally outweigh the clinical benefits in patients aged 65 and older. Published and periodically updated by the American Geriatrics Society (AGS) since 1991, it categorizes drugs into three explicit domains: medications to avoid in most older adults, medications to avoid in patients with specific diseases or syndromes, and medications to use with caution. Each entry is supported by evidence-based rationales and graded by strength of recommendation.
Glossary
Beers Criteria

What is Beers Criteria?
The Beers Criteria is an explicit list of medications considered potentially inappropriate for older adults, maintained by the American Geriatrics Society, serving as a critical rules-based filter in automated medication safety reviews.
In automated medication reconciliation workflows, the Beers Criteria functions as a deterministic rules engine that cross-references a patient's active medication list, diagnoses, and renal function against the published tables. When a match is detected—such as a first-generation antihistamine prescribed to a patient with dementia—the system generates a clinical decision support alert flagging the potentially inappropriate medication. This algorithmic integration reduces reliance on manual pharmacist review for high-volume screening while supporting polypharmacy risk reduction in geriatric populations.
Core Characteristics of the Beers Criteria
The Beers Criteria is an explicit list of potentially inappropriate medications (PIMs) for older adults, maintained by the American Geriatrics Society. It serves as a foundational rules-based filter in automated medication safety reviews, categorizing drugs to avoid, drugs to use with caution, and drug-drug interactions of concern in patients aged 65 and older.
Potentially Inappropriate Medication Classes
The criteria explicitly identify drug classes with an unfavorable risk-benefit ratio in geriatric populations. Key categories include:
- First-generation antihistamines (e.g., diphenhydramine) due to anticholinergic effects causing confusion and urinary retention
- Tricyclic antidepressants (e.g., amitriptyline) linked to orthostatic hypotension and cardiac conduction abnormalities
- Long-acting benzodiazepines (e.g., diazepam) associated with prolonged sedation and increased fall risk
- Non-COX-selective NSAIDs (e.g., indomethacin) in patients with Stage 4 or higher chronic kidney disease
Drug-Disease Interaction Avoidance
The Beers Criteria cross-references medications against specific geriatric syndromes to flag drug-disease interactions where a drug may exacerbate an existing condition:
- Antipsychotics in patients with dementia due to increased cerebrovascular accident and mortality risk
- Peripheral alpha-1 blockers (e.g., doxazosin) in women with stress incontinence due to exacerbation of symptoms
- Opioids in patients with a history of falls or fractures, increasing the likelihood of recurrent injury
- Acetylcholinesterase inhibitors in patients with syncope due to bradycardia risk
Drug-Drug Interaction Identification
The criteria catalog high-severity drug-drug interactions prevalent in polypharmacy regimens. Automated systems use these rules to flag combinations such as:
- Three or more CNS-active drugs concurrently, dramatically increasing fall and cognitive impairment risk
- Warfarin combined with NSAIDs, elevating the risk of life-threatening gastrointestinal hemorrhage
- Lithium with ACE inhibitors, which can precipitate lithium toxicity through reduced renal clearance
- Opioids with gabapentinoids, potentiating respiratory depression beyond either agent alone
Renal Function-Adjusted Avoidance
A dedicated subset of the criteria lists medications requiring dose reduction or complete avoidance based on creatinine clearance thresholds:
- Dabigatran at CrCl < 30 mL/min due to accumulation and bleeding risk
- Spironolactone at CrCl < 30 mL/min linked to dangerous hyperkalemia
- Enoxaparin at CrCl < 30 mL/min requiring anti-Xa monitoring or alternative anticoagulation
- Nitrofurantoin at CrCl < 30 mL/min due to inadequate urine concentration for efficacy and peripheral neuropathy risk
Anticholinergic Burden Stratification
The Beers Criteria explicitly ranks medications by their anticholinergic potency to help clinicians minimize cumulative burden. High-potency agents to avoid include:
- Scopolamine and atropine for their potent central nervous system effects
- Oxybutynin immediate-release for overactive bladder, with preferential use of non-anticholinergic alternatives like mirabegron
- Paroxetine among SSRIs due to its uniquely strong muscarinic receptor affinity
- The criteria emphasize that combining multiple agents with even moderate anticholinergic activity can produce a cumulative toxic effect manifesting as delirium, constipation, and functional decline
Scheduled Updates and Evidence Grading
The American Geriatrics Society maintains the criteria through a rigorous, transparent update cycle approximately every three years:
- Systematic literature review conducted by an expert panel using the GRADE methodology
- Each recommendation carries an explicit Quality of Evidence rating (High, Moderate, Low) and a Strength of Recommendation designation (Strong, Conditional)
- The 2023 update introduced new PIMs including glimepiride and sliding-scale insulin due to hypoglycemia risk
- This structured evidence framework allows automated clinical decision support systems to weight alerts by clinical significance, reducing alert fatigue from low-evidence flags
Frequently Asked Questions
Precise answers to common clinical and technical questions about the AGS Beers Criteria and its role in automated medication safety for older adults.
The Beers Criteria is an explicit list of potentially inappropriate medications (PIMs) for older adults, maintained and periodically updated by the American Geriatrics Society (AGS) . It is used as a rules-based clinical decision support filter to flag medications where the risk of adverse drug events typically outweighs the clinical benefit in patients aged 65 and older. The criteria categorize medications into three main buckets: medications to avoid in most older adults, medications to avoid in older adults with specific diseases or syndromes (drug-disease interactions), and medications to be used with caution. In automated medication reconciliation systems, the Beers Criteria serves as a deterministic safety net, cross-referencing active medication lists against these tables to generate actionable alerts for deprescribing or dose adjustment.
Beers Criteria vs. STOPP/START Criteria
Comparison of two leading explicit criteria frameworks used to identify potentially inappropriate medications in older adults and optimize prescribing safety.
| Feature | Beers Criteria | STOPP Criteria | START Criteria |
|---|---|---|---|
Primary Purpose | Identify potentially inappropriate medications to avoid | Detect potentially inappropriate prescriptions linked to adverse drug events | Detect potential prescribing omissions of indicated therapies |
Maintaining Body | American Geriatrics Society | European expert consensus panel | European expert consensus panel |
Year of Latest Update | 2023 | 2015 (Version 2) | 2015 (Version 2) |
Number of Criteria | ~100 explicit criteria | 80 criteria | 34 criteria |
Organized By | Therapeutic category and disease state | Physiological system | Physiological system |
Renal Dose Adjustment Guidance | |||
Drug-Disease Interaction Flags | |||
Prescribing Omission Detection |
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Related Terms
Core concepts that intersect with the Beers Criteria to form a comprehensive medication safety framework for older adults.
Polypharmacy Risk Score
A quantitative metric that stratifies a patient's risk of adverse geriatric outcomes by calculating the total number of concurrent medications, often weighted by anticholinergic or sedative burden. This score operationalizes Beers Criteria compliance by providing a single, trackable number that flags high-risk regimens before clinical events occur.
- Integrates Drug Burden Index (DBI) calculations
- Flags cumulative CNS depressant effects
- Triggers pharmacist review at predefined thresholds
Anticholinergic Burden Scales
Validated measurement tools such as the Anticholinergic Cognitive Burden (ACB) Scale and the Anticholinergic Risk Scale (ARS) that quantify the cumulative cognitive impact of medications with muscarinic receptor antagonism. These scales complement the Beers Criteria by providing a graded severity framework rather than a binary avoid/use classification.
- ACB scores range from 0 (none) to 3 (severe)
- Cumulative scores ≥3 correlate with measurable cognitive decline
- Used to deprescribe high-burden Beers-listed drugs
Renal Dose Adjustment Logic
The clinical rules engine that evaluates a patient's estimated glomerular filtration rate (eGFR) against drug monographs to flag medications requiring reduced dosage or discontinuation. The Beers Criteria explicitly identifies drugs that are renally inappropriate in older adults, making this logic a mandatory downstream check after initial Beers screening.
- Uses Cockcroft-Gault or CKD-EPI equations
- Flags drugs like dabigatran, enoxaparin, and gabapentin
- Prevents accumulation toxicity in age-related renal decline
AGS Beers Criteria Update Cycle
The American Geriatrics Society (AGS) maintains the Beers Criteria through a rigorous, periodic expert panel review process. Each update cycle evaluates new evidence, adds emerging high-risk medications, and refines existing recommendations based on systematic literature reviews and Delphi consensus methodology.
- Updated approximately every 3 years (2012, 2015, 2019, 2023)
- 2023 update added SGLT2 inhibitors cautions
- Explicitly categorizes drugs by quality of evidence and strength of recommendation

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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