LT4 kinetics · one-compartment model

Levothyroxine Skip-Day Planner

Build a repeating tablet pattern, such as one skipped day a week, and see how its average compares with a target daily dose, how much the serum level swings, and what one missed or extra tablet does.

For cliniciansEducational model, not medical advice. Change a dose only under the prescribing clinician. Parameters are population estimates; see the sources below.

Prescription

mcg
mcg

Elimination half-life

T4, days

Model assumptions
frac
L
/h
mcg/d

    Schedule

    days
    Paint with
    Cycle average
    vs target
    vs target, %

    Patient instruction

    Results

    Steady state of the repeating schedule, % of target

    Serum level over time

    Day 0 is a Monday. Tap a day in the dose strip for a one-off change: missed dose, then extra tablet, then back to plan. With the strip focused, use the arrow keys and Enter.

    Quick scenarios

    Suggested schedules

    ScheduleCycleAvg mcg/dayvs targetSwing

    How this works

    Each tablet is treated as a separate dose that is absorbed over a few hours and then cleared exponentially. The level at any moment is the sum of what remains from every dose taken so far. This is a one-compartment model with first-order absorption and first-order elimination.

    C(t) = Σi (F·Di/V) · ka/(ka − ke) · [e−ke(t − ti) − e−ka(t − ti)] + R/(ke·V)
    ke = ln 2 / t½

    % of target is the level divided by the steady-state average that the target dose would give if taken every day. With no residual thyroid production it does not depend on F or V, so it is the most robust way to compare schedules. The total T4 view multiplies through by F and V and is only an estimate; the free T4 view is a further fixed-fraction estimate.

    Swing is the steady-state peak minus the low point, divided by the schedule’s own average. A one-off change is measured against the same schedule without the change, at the same moment: “9.4% below” means 9.4% below where the level would have been.

    Why a skipped day matters less than it seems

    Evidence and guidance

    Limitations

      Parameters in use

      Sources