The advent of home sleep tests (HSTs) has revolutionized the diagnosis and management of sleep disorders, particularly obstructive sleep apnea (OSA). As a sleep doctor, I frequently engage with colleagues and professionals within the sleep industry to discuss the nuances and complexities of interpreting HST results.
This article aims to provide a detailed and scientific overview of interpreting HST results, including common metrics, insights on understanding these results, subsequent steps, and the importance of collaborative care.
COMMON METRICS IN HOME SLEEP TESTS
Apnea-Hypopnea Index
The apnea-hypopnea index (AHI) is the cornerstone metric for diagnosing and assessing the severity of sleep apnea. It quantifies the number of apneas (complete cessation of airflow) and hypopneas (partial reduction in airflow) per hour of sleep. The AHI is categorized as follows:
- Normal: AHI < 5 events/hour
- Mild OSA: AHI 5–14 events/hour
- Moderate OSA: AHI 15–29 events/hour
- Severe OSA: AHI ≥ 30 events/hour
The AHI is critical for stratifying the patient’s severity classification and tailoring appropriate treatment interventions; although the more we understand the nuances of OSA, it seems other measures such as hypoxic burden and the respiratory disturbance index (RDI) may be more indicative of the severity of a patient’s sleep-disordered breathing.1 Research is evolving in this area.
Oxygen Desaturation Index
The oxygen desaturation index (ODI) measures the number of times per hour that the blood oxygen level drops by a specific percentage (typically 3%–4%) from baseline. ODI is a direct indicator of the frequency and severity of oxygen desaturations during sleep, which is vital for assessing the hypoxic burden associated with sleep apnea. 2 However, ODI does have some limitations. According to an international peer-reviewed journal article published in 2023, lack of information on duration of the hypoxic event and desaturation linked to non-OSA related events.2
Total Sleep Time
Total sleep time (TST) represents the cumulative duration of sleep during the recording period. It is a fundamental parameter for calculating indices like AHI and ODI. Accurate TST is essential for reliable data interpretation, and discrepancies can significantly impact the severity classification of sleep apnea.3 A recently published study demonstrated good correlation between HST and in-laboratory polysomnography (PSG); although in this study, there were some patient-reported errors when starting the study, which resulted in a minor change in wake after sleep onset and longer rapid eye movement (REM) latency.
Sleep Efficiency
Sleep efficiency is defined as the ratio of TST to the total time spent in bed. It reflects the quality of sleep and is a critical parameter for diagnosing insomnia and other sleep disturbances. A lower sleep efficiency indicates poor sleep quality, which can exacerbate comorbid conditions.4
Snoring and Positional Data
Many HST devices also record snoring and positional data. While snoring is not diagnostic of OSA, it often correlates with airway obstruction. Positional data helps identify positional OSA, in which apneas predominantly occur in certain sleep positions, usually supine.5
UNDERSTANDING AND INTERPRETING HST RESULTS
Comprehensive Data Review
Interpreting HST results begins with a thorough review of all recorded metrics. The summary page provides a snapshot, but detailed analysis requires examining raw data, including respiratory event indices, oxygen saturation trends, and sleep architecture if available.
Identifying Patterns and Anomalies
Look for patterns such as clustering of events, which may indicate REM-related or positional sleep apnea. The REM episodes may be flagged in the software. Anomalies like significant oxygen desaturations without corresponding apneas/hypopneas may suggest alternative diagnoses, such as sleep-related hypoxemia/hypoventilation syndromes.6
Clinical Correlation
Correlate the HST data with clinical findings. Patient-reported symptoms, comorbid conditions, and physical examination findings should guide the interpretation. For instance, a patient with severe daytime sleepiness but a low AHI might have other contributing factors like central hypersomnia, periodic limb movements, or an insufficient sleep duration.7
NEXT STEPS AFTER RECEIVING HST RESULTS
Confirming the Diagnosis
In cases where HST results are inconclusive or borderline, a follow-up in-lab PSG may be necessary to confirm the diagnosis. PSG provides comprehensive data, including electroencephalography (EEG) for sleep staging, which some HSTs lack.8
Developing a Treatment Plan
Based on the HST results and clinical correlation, develop a personalized treatment plan. For mild to moderate OSA, conservative measures such as weight loss, nasal expiratory positive airway pressure (EPAP), neuromuscular electrical tongue stimulation, positional therapy, ear, nose, and throat (ENT) surgical procedures, and oral appliances may be sufficient. Continuous positive airway pressure (CPAP) therapy remains the gold standard for moderate to severe OSA.9 Hypoglossal nerve stimulation is another great option for patients who have had difficulties with CPAP.
Implementing and Monitoring Treatment
Implement the chosen treatment and schedule follow-up appointments to monitor effectiveness. For CPAP users, adherence and efficacy data should be reviewed regularly to assess duration of effect as well as ensuring any problems are addressed in a quick and efficient manner. Adjust the treatment plan based on patient feedback and objective data from follow-up HSTs or PSGs.
THE IMPORTANCE OF COLLABORATIVE CARE
Taking a Multidisciplinary Approach
Sleep disorders often require a multidisciplinary approach involving sleep specialists, primary care physicians, orofacial myofunctional therapists, respiratory therapists, and, in some cases, dentists for oral appliance therapy. Collaboration helps to ensure coordinated and comprehensive care and addresses all aspects of the patient’s health.11
Patient Education and Engagement
Educate patients about their condition and the importance of adherence to treatment. Patients who understand their diagnosis and treatment options are more likely to comply with therapy and achieve better outcomes.12
Choosing the Right Sleep Doctor
Selecting a qualified and experienced sleep doctor is crucial. Board-certified sleep specialists have the expertise to diagnose and manage complex sleep disorders. Look for professionals who offer comprehensive care, including diagnosis, treatment, and follow-up, and who can communicate effectively with patients and other healthcare providers.1
Ongoing Research and Advances
Stay informed about ongoing research and advances in sleep medicine. Innovations in HST technology, new therapeutic interventions, and evolving guidelines can significantly impact clinical practice. Continuous education and adaptation are essential for providing the best care to patients.13
CONCLUSION
Interpreting HST results is a nuanced and detailed process that requires a thorough understanding of various metrics and their clinical implications. By carefully reviewing HST data, correlating it with clinical findings, and working collaboratively with other healthcare providers, we can develop effective treatment plans that improve patient outcomes. As sleep professionals, our goal is to ensure accurate diagnosis, effective treatment, and ongoing support for patients with sleep disorders.

Haramandeep Singh, MD, is a board-certified sleep physician licensed in all 50 states and chief executive officer of iSleep Physicians, offering sleep interpretations and telemedicine in all 50 states for pediatric and adult patients.
References
- Berry RB, Budhiraja R, Gottlieb DJ, et al. Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. J Clin Sleep Med. 2012;8(5):597-619.
- Pepin JL, Borel AL, Tamisier R, Baguet JP, Levy P, Dauvilliers Y. Hypertension and sleep: Overview of a tight relationship. Sleep Med Rev. 2014;18(6):509-19.
- Iber C, Ancoli-Israel S, Chesson AL, Quan SF. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology, and Technical Specifications, 1st ed. Westchester, IL: American Academy of Sleep Medicine; 2007.
- Carney CE, Buysse DJ, Ancoli-Israel S, et al. The consensus sleep diary: Standardizing prospective sleep self-monitoring. Sleep. 2012;35(2):287-302.
- Benjafield AV, Ayas NT, Eastwood PR, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: A literature-based analysis. Lancet Respir Med. 2019;7(8):687-98.
- Javaheri S, Barbe F. Basic clinical sleep workshop—central sleep apnea syndromes. Sleep. 2015;38(12):1881-93.
- Weaver TE, Grunstein RR. Adherence to continuous positive airway pressure therapy: The challenge to effective treatment. Proc Am Thorac Soc. 2008;5(2):173-8.
- Malhotra A, White DP. Obstructive sleep apnoea. Lancet. 2002;360(9328):237-45.
- Epstein LJ, Kristo D, Strollo PJ Jr, et al. Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. J Clin Sleep Med. 2009;5(3):263-76.
- Malhotra A, Owens RL. What is central sleep apnea? Respir Care. 2010;55(9):1168-78.
- Marin JM, Carrizo SJ, Vicente E, Agusti AG. Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: An observational study. Lancet. 2005;365(9464):1046-53.
- Banno K, Kryger MH. Sleep apnea: Clinical investigations in humans. Sleep Med. 2007;8(4):400-26.




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