Journals / Türk Otorinolarengoloji Arşivi / 2018 / Cilt: 56 - Sayı: 3

Predicting Severe Sleep Apnea in Patients with Complaints: Pulse Oximetry and Body Mass Index

Şikayetleri Olan Hastalarda Ağır Uyku Apnesinin Öngörülmesi: Nabız Oksimetresi ve Vücut Kitle İndeksi

Pages
149–154
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Data of PSG (includedpulse oximetry) and BMI were investigated for the determination of cut-off points for parameters in the patients.Results: Based on the presence of severe OSAS, thecut-off points were ≥31.7 kg/m2 for BMI,

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: An adequate evaluation combined with aneasily accessible test would be a useful way to directthe appropriate patients to sleep centers in circumstances with a limited opportunity for polysomnography (PSG).
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Key Findings & Data:The aimof the present study was to investigate whether theuse of body mass index (BMI) and pulse oximetry issufficient to predict the severity of obstructive sleepapnea syndrome (OSAS) without PSG.Methods: A total of 956 patients who were admitted toa tertiary referral center with complaints of witnessed apnea, excessive daytime sleepiness, and previously performedPSG were included in the study.
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Conclusion & Impact:Data of PSG (includedpulse oximetry) and BMI were investigated for the determination of cut-off points for parameters in the patients.Results: Based on the presence of severe OSAS, thecut-off points were ≥31.7 kg/m2 for BMI,
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: An adequate evaluation combined with aneasily accessible test would be a useful way to directthe appropriate patients to sleep centers in circumstances with a limited opportunity for polysomnography (PSG). For this reason, it is necessary to use ascreening method prior to PSG evaluation. The aimof the present study was to investigate whether theuse of body mass index (BMI) and pulse oximetry issufficient to predict the severity of obstructive sleepapnea syndrome (OSAS) without PSG.Methods: A total of 956 patients who were admitted toa tertiary referral center with complaints of witnessed apnea, excessive daytime sleepiness, and previously performedPSG were included in the study. Data of PSG (includedpulse oximetry) and BMI were investigated for the determination of cut-off points for parameters in the patients.Results: Based on the presence of severe OSAS, thecut-off points were ≥31.7 kg/m2 for BMI,

Özet

Amaç: Polisomnografi (PSG) olanaklarının kısıtlı ol- duğu durumlarda, kolay erişilebilir ve uygulanabilir bir yöntem ile uygun hastaları uyku merkezlerine yönlen- dirmek faydalı olacaktır. Bu nedenle, PSG değerlen- dirmesinden önce bir tarama yönteminin kullanılması gereklidir. Bu çalışmanın amacı, PSG değerlendirmesi yapılmaksızın, hastaların vücut kitle indeksi (VKİ) ve nabız oksimetresi verileri kullanımının ağır tıkayıcı uyku apne sendromunu (TUAS) öngörmede yeterli olup olmadığını araştırmaktır. Yöntemler: Üçüncü basamak bir sağlık merkezine tanıklı apne, aşırı gündüz uykululuğu şikayetleri ile başvuran ve PSG yapılan toplam 956 hasta çalışmaya dahil edildi. Hastaların ağır OSAS’ı olup olmadıkla- rını tahmin etmek için PSG (nabız oksimetresi dahil olmak üzere) ve VKİ verileri incelenerek kesme nok- taları belirlendi. Bulgular: Ağır OSAS varlığına göre, kesme noktaları VKİ için ≥31.7 kg/m 2 , minimum oksijen saturasyonu için (Min O 2 )

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Cite This Article

YILMAZ, Y. F., ÖZCAN, M., GÜLER, İ., BAKLACI, D., KUM, R. O., KUNDI, F. C. S., KUM, N. Y. (2022). Predicting Severe Sleep Apnea in Patients with Complaints: Pulse Oximetry and Body Mass Index. Türk Otorinolarengoloji Arşivi, Cilt: 56 - Sayı: 3, 149–154. https://ajindex.com/articles/640199

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