Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation

Polysomnography (PSG) remains the gold standard for evaluating sleep-disordered breathing (SDB) and related conditions, yet its clinical potential is often limited by overreliance on the apnea-hypopnea index (AHI) and similar summary metrics. This narrative review offers a structured, physiology-inf...

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Main Authors: Elvie Zulka Kautzia Rachmawati, Mikhael Yosia
Format: Article
Language:English
Published: Al-Ayen Iraqi University 2025-08-01
Series:AUIQ Complementary Biological System
Subjects:
Online Access:https://acbs.alayen.edu.iq/journal/vol2/iss2/5/
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author Elvie Zulka Kautzia Rachmawati
Mikhael Yosia
author_facet Elvie Zulka Kautzia Rachmawati
Mikhael Yosia
author_sort Elvie Zulka Kautzia Rachmawati
collection DOAJ
description Polysomnography (PSG) remains the gold standard for evaluating sleep-disordered breathing (SDB) and related conditions, yet its clinical potential is often limited by overreliance on the apnea-hypopnea index (AHI) and similar summary metrics. This narrative review offers a structured, physiology-informed approach to PSG interpretation that integrates sleep architecture, arousal burden, respiratory event morphology, oxygenation patterns, and CO2 trends. Recognizing phenotypic patterns-such as REM-related and positional OSA-through sleep stage and positional stratification is essential for directing targeted therapy. We outline common interpretive pitfalls, including automated scoring errors, overlooked signal artifacts, and the first night effect, emphasizing the need for careful manual review and clinical correlation. In pediatric and syndromic populations, age-adjusted interpretation is critical for detecting subtle respiratory disturbances that can impact neurodevelopment or behavior. A practical stepwise framework is provided to guide interpretation, streamline clinical workflows, and reduce diagnostic error. PSG findings are also contextualized within broader systemic outcomes, such as their links to hypertension, dyslipidemia, insulin resistance, and cognitive decline. Ultimately, PSG should be viewed not as a static diagnostic report, but as a cornerstone of personalized sleep medicine-informing mechanism-based, outcome-oriented interventions tailored to individual patients.
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spelling doaj-art-01ba1e2a4a584bafb2f1697ad08054d42025-08-20T03:41:15ZengAl-Ayen Iraqi UniversityAUIQ Complementary Biological System3007-973X2025-08-0122657610.70176/3007-973X.1034Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography EvaluationElvie Zulka Kautzia Rachmawati0Mikhael Yosia1https://orcid.org/0000-0002-3701-0769Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine Universitas Indonesia—Dr. Cipto Mangunkusumo National Hospital, Jakarta, IndonesiaDepartment of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine Universitas Indonesia—Dr. Cipto Mangunkusumo National Hospital, Jakarta, IndonesiaPolysomnography (PSG) remains the gold standard for evaluating sleep-disordered breathing (SDB) and related conditions, yet its clinical potential is often limited by overreliance on the apnea-hypopnea index (AHI) and similar summary metrics. This narrative review offers a structured, physiology-informed approach to PSG interpretation that integrates sleep architecture, arousal burden, respiratory event morphology, oxygenation patterns, and CO2 trends. Recognizing phenotypic patterns-such as REM-related and positional OSA-through sleep stage and positional stratification is essential for directing targeted therapy. We outline common interpretive pitfalls, including automated scoring errors, overlooked signal artifacts, and the first night effect, emphasizing the need for careful manual review and clinical correlation. In pediatric and syndromic populations, age-adjusted interpretation is critical for detecting subtle respiratory disturbances that can impact neurodevelopment or behavior. A practical stepwise framework is provided to guide interpretation, streamline clinical workflows, and reduce diagnostic error. PSG findings are also contextualized within broader systemic outcomes, such as their links to hypertension, dyslipidemia, insulin resistance, and cognitive decline. Ultimately, PSG should be viewed not as a static diagnostic report, but as a cornerstone of personalized sleep medicine-informing mechanism-based, outcome-oriented interventions tailored to individual patients.https://acbs.alayen.edu.iq/journal/vol2/iss2/5/polysomnographysleep-disordered breathingsleep architecturerem-related osa
spellingShingle Elvie Zulka Kautzia Rachmawati
Mikhael Yosia
Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
AUIQ Complementary Biological System
polysomnography
sleep-disordered breathing
sleep architecture
rem-related osa
title Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
title_full Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
title_fullStr Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
title_full_unstemmed Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
title_short Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation
title_sort reframing sleep diagnostics a structured clinical guide to polysomnography evaluation
topic polysomnography
sleep-disordered breathing
sleep architecture
rem-related osa
url https://acbs.alayen.edu.iq/journal/vol2/iss2/5/
work_keys_str_mv AT elviezulkakautziarachmawati reframingsleepdiagnosticsastructuredclinicalguidetopolysomnographyevaluation
AT mikhaelyosia reframingsleepdiagnosticsastructuredclinicalguidetopolysomnographyevaluation