The Central Apnea Index (CAI) is the number of central apnea events you experience per hour of sleep. On a CPAP machine, this number tells your doctor how many times your brain failed to send the signal to breathe. Unlike obstructive apnea, where the airway is physically blocked, central apnea means your airway is open, but your body simply does not try to breathe.
This number matters because it helps doctors distinguish between two different types of sleep-disordered breathing. When you see your CAI on a CPAP report, it is not just a random statistic—it is a diagnostic clue that guides your entire treatment plan.
What Does the Central Apnea Index Measure?
The CAI measures a specific type of breathing pause. During a central apnea event, you stop breathing for at least 10 seconds. The key difference is that there is no physical obstruction. Your chest and abdomen may stop moving because the brainstem—the part of the brain that controls automatic breathing—fails to send the “breathe” command.
Your CPAP machine tracks these events using airflow sensors. When the machine detects no airflow, it checks whether your airways are open. If they are open and you are not breathing, the machine records a central event. This is different from an obstructive event, where the machine detects effort against a closed airway.
The CAI is expressed as a number. For example, a CAI of 5 means you had five central apnea events per hour of sleep. This number is always reported alongside the Apnea-Hypopnea Index (AHI), which includes all types of apnea and hypopnea events combined.
What Is a Normal Central Apnea Index?
A normal Central Apnea Index is below 5 events per hour. Most healthy adults have a CAI of zero or close to zero. Occasional central events can happen in anyone, especially during the transition between wake and sleep, but frequent central events are not considered normal.
When your CAI is above 5, doctors generally consider it clinically significant. However, the context matters. A CAI of 6 in someone with heart failure means something different than a CAI of 6 in a healthy young adult. Your doctor will interpret the number based on your overall health, symptoms, and other sleep study findings.
It is important to understand that a slightly elevated CAI on a single night does not automatically mean you have central sleep apnea. Sleep stage, alcohol, and certain medications can all influence the number on any given night.
Why Does My CAI Increase on CPAP?
This is one of the most common questions CPAP users ask. Some people develop central apneas after starting CPAP therapy, a phenomenon called treatment-emergent central sleep apnea. This used to be called complex sleep apnea.
Here is what happens: When you start CPAP, the machine holds your airway open with positive pressure. This fixes any obstructive events immediately. But the sudden change in pressure can affect your body’s carbon dioxide levels. Your brain uses carbon dioxide levels to regulate breathing. When CPAP blows off carbon dioxide more efficiently, your brain may temporarily “forget” to send the breathing signal.
This is usually temporary. Most people see their CAI drop back to normal within a few weeks as their body adjusts to the new pressure. Studies show that a significant portion of patients who develop treatment-emergent central apnea on their first night of CPAP will have resolution of these events within a few months.
However, if your CAI remains persistently above 5 after several weeks of consistent CPAP use, your doctor may need to adjust your treatment. This does not mean CPAP is failing you. It means your body is responding to therapy in a specific way that requires a different approach.
How Is a High CAI Treated?
Treatment depends on whether the central apneas are primary or treatment-emergent. If you have primary central sleep apnea—meaning you had a high CAI before ever using CPAP—the approach is different from someone who developed central events only after starting therapy.
For treatment-emergent central apnea, the first step is often patience. Your doctor may recommend continuing CPAP for several weeks to see if the central events resolve on their own. In many cases, they do.
If the events persist, your doctor may suggest changing pressure settings. Lowering the pressure can sometimes reduce central events because less air is being blown off, which helps maintain normal carbon dioxide levels. Some machines have a feature called expiratory pressure relief that can also help.
For persistent central sleep apnea, other treatment options exist. These include adaptive servo-ventilation (ASV), which is a more advanced machine that adjusts pressure in real-time based on your breathing patterns. Bilevel positive airway pressure (BiPAP) with a backup rate is another option. This machine delivers a timed breath if you stop breathing for too long.
Some medications have been studied for central sleep apnea, but evidence is limited. Acetazolamide, a medication that affects carbon dioxide balance, has shown some benefit in research studies. However, this is not a first-line treatment and should only be considered under close medical supervision.
What Is the Difference Between CAI and AHI?
The Apnea-Hypopnea Index (AHI) is the total number of apnea and hypopnea events per hour. This includes obstructive events, central events, and mixed events. The Central Apnea Index is a subset of the AHI—it only counts central events.
Think of it this way: AHI is the total score, and CAI is one component of that score. If your AHI is 15 and your CAI is 12, most of your events are central. If your AHI is 15 and your CAI is 1, most of your events are obstructive.
This distinction is critical because treatment differs. Obstructive sleep apnea responds well to standard CPAP. Central sleep apnea may not. In fact, standard CPAP can sometimes make central apnea worse, as described earlier.
Your sleep study report will break down these numbers. It will typically show the AHI, the obstructive apnea index, the central apnea index, and the hypopnea index separately. Understanding these numbers helps you have a more informed conversation with your doctor.
What Conditions Are Associated With a High CAI?
A persistently high CAI can be a sign of underlying medical conditions. Heart failure is one of the most significant associations. People with heart failure can develop a specific pattern of breathing called Cheyne-Stokes respiration, which involves cycles of deep breathing followed by central apnea.
Neurological conditions can also cause central sleep apnea. Stroke, Parkinson’s disease, and conditions affecting the brainstem can interfere with the brain’s ability to regulate breathing during sleep. Opioid medications are another major cause—they suppress the brain’s respiratory drive, which can lead to central events.
Living at high altitude can also trigger central apnea. The lower oxygen levels at altitude cause a specific breathing instability that results in periodic central events. This typically resolves when the person returns to lower elevation.
If your CAI is consistently elevated and you do not have a clear explanation, your doctor may recommend additional testing. This could include an echocardiogram to check your heart function or blood tests to assess for other contributing factors.
Can You Have Central Apnea Without Obstructive Apnea?
Yes. This is called pure central sleep apnea. In this case, your CAI is elevated, but you have few or no obstructive events. Your AHI is driven almost entirely by central events.
This condition is less common than obstructive sleep apnea. It affects a smaller percentage of the population, and it often occurs in people with underlying medical conditions. However, it can also occur in otherwise healthy people, particularly those who use opioids or live at high altitude.
Treating pure central sleep apnea is different from treating obstructive apnea. Standard CPAP may not be effective because there is no obstruction to splint open. Instead, treatment focuses on the underlying cause. If opioids are the culprit, reducing or changing the medication may help. If heart failure is the cause, optimizing heart treatment is the priority.
How Do I Read My CPAP Data Report?
Most modern CPAP machines record detailed data about your nightly breathing. This data is usually accessible through the machine’s screen or through a smartphone app. The report will typically show your AHI, your CAI, your leak rate, and your usage hours.
Look at the CAI specifically. If it is consistently above 5, note that in your log. Also pay attention to trends. A single night with a CAI of 7 might not mean anything. A consistent pattern of CAI above 5 over several weeks is more significant.
Your CPAP data is a tool, not a diagnosis. The machine does not have the same accuracy as an in-lab sleep study. It is a screening tool that helps you and your doctor track your response to therapy. If you have concerns about your CAI, bring your data to your next appointment.
Your doctor may recommend a follow-up sleep study if the data suggests persistent central events. This is especially important if you continue to feel unrefreshed despite using CPAP consistently.
Frequently Asked Questions
What is a normal central apnea index on CPAP?
A normal Central Apnea Index is below 5 events per hour. Most healthy adults have a CAI of zero or near zero.
Why is my central apnea index high on CPAP?
This is called treatment-emergent central sleep apnea, which happens when CPAP changes your carbon dioxide levels and temporarily disrupts your brain’s breathing signal. It often resolves within a few weeks as your body adjusts.
Does a high CAI mean CPAP is not working?
Not necessarily. CPAP may be effectively treating your obstructive events while the central events are a temporary adjustment response. If the CAI stays high after several weeks, your doctor may need to change your treatment approach.
Can central sleep apnea be cured?
Treatment depends on the cause. Treatment-emergent central apnea often resolves on its own. Central apnea caused by opioids may improve when the medication is changed. Central apnea from heart failure may improve when heart function is optimized.

