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Calculating HIV window periods
If I have HIV, what are the chances that my HIV test will still show negative?
To find out, drag the slider to the number of days since you think you were exposed to HIV.
Probability of false negative test result:
* Measures the body's response to HIV through the detection of antibodies (3rd generation test)
** Measures any HIV proteins in the body as well as antibodies (4th generation test)
What is this tool?
The HIV Window Period Table of Probabilities tool was developed to help clinicians doing HIV pre-test discussion with individuals who may have been exposed to HIV.
As HIV testing technology improves, the window period (time from infection to the first positive result on a given test) of some HIV tests get shorter. This information about window periods, can help advise individuals about the best time to test for HIV.Read More ⌄
Diagnosing HIV as soon as possible after infection means individuals can be advised on how to prevent transmission when their viral load is high. However, depending on the time and nature of an exposure, as well as the timing of previous test results, some clinicians may suggest waiting three months to test for HIV. After this time, the chance of a false negative result is less than 1%.
The Table of Probabilities tool was designed to give the probability of a false negative test result if an individual has HIV. A false negative test result is a test result that indicates that a person does not have HIV, when in fact they actually do have HIV.
The tool should be used when an individual can give an approximate date of when they were potentially exposed to HIV. It is less useful for people who do not know when a possible exposure may have occurred.
More information can be found about the development of the tool here.Read Less ⌃
Point of Care (3rd generation) and 4th generation HIV tests
Most HIV testing in British Columbia starts with a 4th generation test that looks for both HIV antibodies and p 24 antigens (HIV proteins) in the blood. If this test is reactive (positive), additional confirmatory testing is done.Read More ⌄
The 4th generation HIV test has a reported average window period of 14 - 21 days. Since both 3rd generation (eg. Point of Care) and 4th generation HIV tests depend on individual immune responses, the amount of time needed for an individual to develop enough antibodies for a test to detect HIV can vary. HIV window periods are based on averages; some people develop antibodies quickly while others take longer, and there are always outliers.Read Less ⌃
How to use the calculator
Determine if a 3rd generation (eg. Point of Care) or a 4th generation HIV test will be used. Ask the individual who is testing to estimate the number of days since they think they were exposed to HIV. Slide the bar to the appropriate number of days; the probability of a false negative will be shown for the 3rd and 4th generation tests.Read More ⌄
Example: Harry is in a relationship with an HIV positive partner. He and his partner usually use condoms during sex, but one night they had unprotected anal sex, with Harry on the bottom. Harry estimates that this happened about two weeks (14 days) before. His doctor looks at the Table of Probabilities and tells Harry that he can test for HIV, but if he's HIV positive, there is a 79-90% chance that the test will have a false negative result (the test will not detect HIV even if HIV is present). They decide to do it anyway, with the plan to retest at 4 weeks if the first test is negative.Read Less ⌃
It is important to note that there is inherent uncertainty with window periods, as they can vary depending on the characteristics of the virus, an individual’s immune response, as well as the technical aspects of a test. While the Table of Probabilities is based on a large study with a high number of samples, it is still a finite sample and there is always the possibility of outliers in the data. In addition, some HIV testing platforms have evolved since the creation of this tool where some window periods are now somewhat shorter than previously noted; depending on the test being used. The probabilities provided here are a tool and should not be used with absolute certainty.
- Taylor D, Durigon M, Davis H, Archibald C, Konrad B, Coombs D, Gilbert M, Cook D, Krajden M, Wong T, Ogilvie G. Probability of a false negative HIV antibody test result during the window period: a tool for pre- and post-test counseling. Int J STD AIDS. 2014 Jul 16.
- Gilbert M, Krajden M. Don't wait to test for HIV. BCMJ. Aug 2010;52(6).
- Public Health Agency of Canada. Human immunodeficiency virus: HIV screening and testing guide. 2012. Ottawa. Available online at: Catie.ca (PDF document)