Clinician handoff
Meds
Designed for a 60-second scan in primary care. Use this to explain why this theory fits, what would weaken it, and which tests are most worth discussing.
Why this still fits
I want to rule in or rule out medication-related brain fog. The strongest clue is that the fog tracks with a new medication, a dose increase, or a repeatable dosing window.
What would weaken it
- -Did the fog start after a new medication, dose increase, or new combination?
- -Is the timing strongest within a few hours after dosing or on waking after sedating medications?
- -Would a pharmacist or clinician medication review explain the pattern better than sleep apnea, ADHD, or anemia?
- -Are any anticholinergic, sedating, or polypharmacy effects plausible here?
Key points to communicate
- •Please document what findings would confirm this cause versus lower confidence.
- •I want an evidence-first workup with clear follow-up criteria.
- •Please note which competing causes should be checked in parallel if results are inconclusive.
- •Please separate metabolic, sleep, autonomic, and medication overlap before narrowing to one cause.
Tests and measurements to discuss
Need the fuller context? Use the test explainers for the measurement itself, or jump back to the tests section on the Meds page to see how the tests fit the whole pattern.
Structured medication review
What this helps clarify: Identify fog-causing meds: benzos, anticholinergics, etc.
Range context
Pharmacist consultation
How to use the result
Save the result with date and symptoms from the same week.
Anticholinergic burden review
What this helps clarify: Score >3 associated with cognitive decline
Range context
0 (none)
How to use the result
Save the result with date and symptoms from the same week.
Check whether symptom timing matches dosing windows
Medication Impact Assessment
Used to rule in or rule out Meds.
What this helps clarify: Used to rule in or rule out Meds.
A1c + fasting glucose context review
Average metrics can miss clinically relevant variability patterns.
What this helps clarify: This route is for the situation where HbA1c and fasting glucose do not fully explain a strong post-meal or fasting crash pattern.
Range context
Interpret with timing pattern
How to use the result
If the averages are normal but the crashes are repeatable, ask what test would better capture variability.
Peer-reviewed references