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Accumulation Factor Calculator

Computes the repeat-dosing accumulation factor R = 1 / (1 - e^(-k x tau)) for a half-life and fixed dosing interval tau. A textbook model, not medical or dosing advice.

Pharmacokinetic Models

Calculator inputs

Pharmacokinetic Models: This is a mathematical and laboratory reference tool. It does not diagnose, treat or recommend a dose, and it is not medical advice.

The accumulation factor calculator answers the question that matters most in all of pharmacology with arithmetic: if you give a dose every so often, how much higher does the peak get than a single dose would?

Under the first-order model the answer depends only on the ratio of the dosing interval to the half-life. A dose given exactly every half-life accumulates to twice a single dose. Given every quarter life, to more than three times.

This is a genuinely predictive result within the model, not an approximation of the model, because it follows from the ratio alone.

Where one over one minus r comes from

The result is the closed form of an infinite sum, which is worth seeing derived rather than quoted. Each dose contributes a full amount and then leaves behind a fraction r for the next one, which leaves behind r squared, and so on indefinitely. Adding every one of those contributions gives the level once the process has settled. Divide that total by a single dose and what remains is the accumulation factor. The whole expression collapses to one line only because the ratio between successive terms is constant, and that constancy is exactly the first-order assumption.

That ratio r is fixed entirely by the interval measured against the half-life, and that is the only place the half-life enters. Written as one half to the power of the interval over the half-life, it is precisely the fraction left behind by the previous dose at the moment the next one arrives. Nothing about absorption, formulation or individual variation touches it. The guide to steady state and accumulation works through the same derivation more slowly, including why it is the peak rather than the average that this series describes.

Why the series only converges in one direction

A geometric series has a closed form only when its ratio is smaller than one, and here the ratio is a fraction of material remaining, so it always is, provided the interval and the half-life are both positive. That sounds like a formality, but it is the condition the method rests on. The series is a claim about infinitely many past doses each contributing progressively less. With an interval of zero the terms would not shrink at all, and the sum would not exist.

The behaviour near the far boundary is where intuition fails hardest, and it is better computed than assumed. As the interval grows relative to the half-life the ratio shrinks toward zero and the factor approaches one, meaning no accumulation, and it gets there quickly. A factor of 1.07 at an interval of one tenth of a half-life already means a peak barely above a single dose, and by ten half-lives the factor is indistinguishable from one at any precision worth quoting. Nothing here is a threshold; it is simply how fast a small exponent becomes a negligible number.

The interval is an input, and this page supplies none

The interval in this calculation is a mathematical input. It is a number you supply, and neither this page nor this site tells you what interval to use for anything. That is not a hedge and it is not a refusal to be useful. There is no interval that follows from a half-life alone, no interval that is correct across substances, and no interval that is correct across routes of administration, formulations or individuals. Publishing one would mean inventing a fact, and inventing a fact here is the one failure mode worth avoiding at any cost.

What the page does offer is a sensitivity curve, which is genuinely useful without being a recommendation. The factor is gentle near one and steep near two, so modest changes in the interval produce very different factors. Feed the same interval and half-life to the time to steady state calculator and it returns the number of half-lives needed to come within a chosen tolerance of that same settled level, which is the companion figure for the same pair of inputs.

What the factor multiplies, and what it cannot

Be exact about what is being compared. This is a ratio of peak concentrations under the model, setting a settled peak against a single-dose peak. It is not a ratio of effects, of durations, of thresholds crossed or of anything else. Turning it into one of those is a jump from arithmetic to a claim about a body, and no calculator can make that jump safely. The full context of what the family omits is set out on the original half-life page , and it is a longer list than the formula suggests.

The model also treats removal as a single first-order rate. If material leaves by more than one route at once, the rate that actually governs the interval is the combined one, which is shorter than either route alone, and the effective half-life calculator combines them. Feeding that combined figure back in here is the honest version of the calculation. Feeding in a single route half-life instead overstates the accumulation, because it makes removal look slower than the system can deliver.

How this calculator works

Each dose is a fraction of the previous one still present when the next arrives. That fraction is one half raised to the interval over the half-life.

The peak at steady state is the sum of an infinite geometric series: the first dose, plus what is left of it, plus what is left of that, and so on without end. The sum of a geometric series with ratio r is one over one minus r, which is the formula.

The behaviour at the extremes is worth memorising. Interval equal to the half-life gives a factor of two. Interval equal to the half-life divided by ten gives a factor of 1.07, so nearly no accumulation. Interval ten times the half-life gives a factor of 1.00098, so essentially none at all.

The formulas

  • R = 1 / (1 - e^(-k x tau))

    R
    the accumulation factor, that is steady state peak divided by single dose peak
    tau
    the dosing interval, in the same time unit as the half-life

    The sum of the infinite geometric series of residual drug at steady state.

  • R = 1 / (1 - 0.5^(tau / t-half))

    The same written in half-lives, which makes the checkpoints obvious.

Worked example

Accumulation at two different dosing intervals

Illustrative example. The numbers are chosen to make the arithmetic easy to check. They are not a dose, a protocol or a recommendation.

Given

Half-life
24 hours
Case 1 interval
24 hours
Case 2 interval
12 hours
  1. Case 1: count the halvings in the interval, so half the previous dose remains
    Substitution
    24 / 24
    Result
    0.5
  2. Case 1: sum the series
    Substitution
    1 / (1 - 0.5)
    Result
    R = 2
  3. Case 2: count the halvings in the interval, so 0.7071 of the previous dose remains
    Substitution
    12 / 24
    Result
    0.7071
  4. Case 2: sum the series
    Substitution
    1 / (1 - 0.7071)
    Result
    R = 3.414

What this shows

Halving the dosing interval more than doubles the accumulation, from twice a single dose to more than three times. Accumulation is highly nonlinear in the interval, which is why a schedule change has a much larger effect on peak levels than intuition suggests.

Understanding the inputs

Half-life
The half-life, in hours.
Dosing interval
The time between doses, in hours.
Watch for: Units must match the half-life. A daily interval against a half-life in minutes gives a factor of essentially one, which is mathematically correct and almost certainly not what you meant.

Understanding the results

Accumulation factor
The ratio of the steady state peak to the peak after a single dose. A value of 1 means no accumulation; larger values mean more. The result is at least one by construction.

Units explained

Accumulation factor
How much the steady state peak exceeds a single dose peak. One means no accumulation.
Dosing interval
The time between successive doses. Shorter intervals accumulate more.
Geometric series
The sum of an infinite sequence where each term is a fixed multiple of the previous one, here one half to the power of the interval over the half-life.

Common mistakes

  • Entering the interval in different units from the half-life, which is the dominant error in this family.
  • Using this as a dosing recommendation. It describes the mathematics of accumulation under a model. It does not say what interval, what dose or what peak level is appropriate for anything.
  • Interpreting a factor of two as doubling the effect. It doubles the peak concentration under this model, which is a statement about arithmetic rather than about response.

Important limitations

  • The result is a peak concentration ratio at steady state under first-order kinetics. It says nothing about troughs, about time course within the interval, or about any physiological response.
  • It assumes the same dose each time and instantaneous availability, so an absorption-limited drug accumulates less than this predicts.
  • This is a one-compartment, first-order model. It assumes a single homogeneous pool, immediate availability of the whole amount, and elimination that is proportional to how much is present. Real pharmacokinetics involves absorption, distribution into tissues, protein binding, several elimination routes with different rates, and metabolites that may themselves be active. Nothing here describes how any substance behaves in a person.

Frequently asked questions

What does the accumulation factor calculator compute?

For repeated dosing at a fixed interval, it computes the theoretical accumulation factor at steady state: R = 1 / (1 - e^(-k x tau)), where k is derived from the half-life and tau is the dosing interval.

How do I use the accumulation factor calculator?

Enter the half-life and the dosing interval, tau, in matching time units. The calculator returns the accumulation factor.

What does the accumulation factor result mean?

It is the multiple by which the steady-state peak amount exceeds a single dose’s peak amount, under repeated dosing at a fixed interval with a first-order elimination model. A factor close to 1 means little accumulation; a much larger factor means substantial buildup across doses.

How does the dosing interval affect the accumulation factor?

A shorter dosing interval relative to the half-life produces a larger accumulation factor, since less of each previous dose has decayed away before the next one is added; a longer interval relative to the half-life produces a factor closer to 1.

What is the underlying model behind the accumulation factor calculator?

The standard first-order, exponential, superposition model for repeated dosing, the same one-compartment approximation used throughout this site's pharmacokinetic calculators.

What happens with a zero dosing interval on the accumulation factor calculator?

It is rejected as invalid; the dosing interval must be a positive number.

Is the accumulation factor calculator a medical or dosing tool?

No. This is a mathematical model for educational purposes only, and it is not medical advice or a dosing recommendation for any real substance or regimen.

Is the accumulation factor calculator free?

Yes. The accumulation factor calculator runs entirely client side.

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