Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)

Remya, K. J.; Krishnakumar, Mathangi; Mathangi, D.C.; Srihari, Ramamoorthy; Soundararajan, Govindaraju; Hillman, David R.; Eastwood, Peter R.

doi:10.1080/08869634.2016.1206701

Cited by 15 publications

(11 citation statements)

References 26 publications

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“…We obtained higher means of anthropometric measures in the Severe Apnea group comparing with the other three groups, reinforcing the anatomical contribution of obesity to the gravity form of Apnea as a risk marker for cardiovascular diseases, in particular the systemic arterial hypertension, shown in 47.5% of our patients and cited as the most prevalent morbidity among patients with the OSAS (Gonç alves, Thatiane, & Godoy, 2011;Remya et al, 2016;Theodorou et al, 2014). …”

Section: Discussionmentioning

confidence: 93%

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Ribeiro¹,

Carvalho²,

Carmo³

et al. 2017

RHS

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Section: Discussionmentioning

confidence: 93%

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Ribeiro¹,

Carvalho²,

Carmo³

et al. 2017

RHS

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“…Based on this threshold value, a linear discriminant analysis (LDA) algorithm was developed and trained using the 3D linear distances, geodesic distances, and angles of each face. The algorithm was then trained and tested to classify new unseen cases (see next paragraphs) using AHI threshold values of 10,15,20,25,30,35,40,45, and 50 events/h.…”

Section: Discussionmentioning

confidence: 99%

Predicting sleep apnea from three-dimensional face photography

Eastwood

Gilani

McArdle

et al. 2020

Journal of Clinical Sleep Medicine

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Study Objectives: Craniofacial anatomy is recognized as an important predisposing factor in the pathogenesis of obstructive sleep apnea (OSA). This study used three-dimensional (3D) facial surface analysis of linear and geodesic (shortest line between points over a curved surface) distances to determine the combination of measurements that best predicts presence and severity of OSA. Methods: 3D face photographs were obtained in 100 adults without OSA (apnea-hypopnea index [AHI] < 5 events/h), 100 with mild OSA (AHI 5 to < 15 events/h), 100 with moderate OSA (AHI 15 to < 30 events/h), and 100 with severe OSA (AHI ≥ 30 events/h). Measurements of linear distances and angles, and geodesic distances were obtained between 24 anatomical landmarks from the 3D photographs. The accuracy with which different combinations of measurements could classify an individual as having OSA or not was assessed using linear discriminant analyses and receiver operating characteristic analyses. These analyses were repeated using different AHI thresholds to define presence of OSA. Results: Relative to linear measurements, geodesic measurements of craniofacial anatomy improved the ability to identify individuals with and without OSA (classification accuracy 86% and 89% respectively, P < .01). A maximum classification accuracy of 91% was achieved when linear and geodesic measurements were combined into a single predictive algorithm. Accuracy decreased when using AHI thresholds ≥ 10 events/h and ≥ 15 events/h to define OSA although greatest accuracy was always achieved using a combination of linear and geodesic distances. Conclusions: This study suggests that 3D photographs of the face have predictive value for OSA and that geodesic measurements enhance this capacity.

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“…Penelitian ini sejalan dengan Remya dkk yang menunjukkan bahwa lingkar leher dapat digunakan sebagai prediksi kejadian OSA. 16 Pada penelitian ini didapatkan bahwa pasien OSA memiliki lingkar perut di atas nilai normal (65%). Hal ini didukung dengan pendapat bahwa lingkar perut yang tinggi merupakan faktor risiko terjadinya OSA, akibat penumpukan jaringan adiposa pada abdomen yang menyebabkan berkurangnya kapasitas residu fungsional paru, sehingga meningkatkan derajat obstruksi.…”

Section: Pembahasanunclassified

“…15 Oleh karena itu, faktor anatomis seperti indeks massa tubuh, lingkar leher, lingkar lengan, dan lingkar perut sudah diteliti menunjukkan hubungan yang bermakna sebagai faktor risiko terjadinya OSA. [16][17][18] Namun di Indonesia penelitian ini masih terbatas dan jarang menggunakan PSG sebagai pemeriksaan baku emas OSA, sehingga umumnya hanya menggunakan skoring prediktor OSA, seperti yang diteliti oleh Wiadnyana dkk atau oleh Priscilla dkk. [19][20] Penelitian tentang faktor risiko OSA terpublikasi dengan menggunakan PSG baru dilakukan oleh Susanto.…”

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Hubungan Ukuran Antropometri Dengan Derajat Obstructive Sleep Apnea

Tori

Suryawati

Husni

2018

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CORRELATION BETWEEN ANTHROPOMETRIC MEASUREMENTS AND STAGE OF OBSTRUCTIVE SLEEP APNEAABSTRACKIntroduction: Obstructive sleep apnea (OSA) is estimated to occur 2-10% worldwide and associated with various diseases. OSA severity can be assessed by apnea hypopnea index (AHI). Increased anthropometric measurements indicate increased thickness of fatty tissue in the neck, as well as fatty deposits of the abdomen which can cause constriction of the airways. Other variables suspected to have an effect on AHI are age, sex, smoking habit, and Mallampati score.Aims: To analyze the correlation between anthropometric measurements and OSA severity.Methods: Descriptive analytic studies on OSA patients treated at Dr. Kariadi Hospital, Semarang, January- August 2017. Subjects were included in the study if STOPBANG score was >2. Anthropometric measurements (body mass index, neck circumference, abdominal circumference) was performed on the basis of the International Organization for Standardization (ISO) method while AHI was measured with polysomnography.Results: Bivariate correlation test on 23 subjects showed significant correlation between OSA severity with body mass index (BMI) and neck circumference but no significant correlation with abdominal circumference. Multivariate test showed the most influential variable was BMI.Discussion: There were significant correlations between anthropometric measurements (BMI and neck circumference) with OSA severity.Keywords: Abdominal circumference, apnea hypopnea index, body mass index, neck circumference, obstructive sleep apneaABSTRAKPendahuluan: Obstructive sleep apnea (OSA) diperkirakan terjadi 2-10% di seluruh dunia yang berkaitan dengan berbagai macam penyakit. Derajat OSA dinilai dengan indeks apnea-hypopnea (apnea hypopnea index/AHI). Tingginya nilai antropometri tubuh menandakan tebalnya jaringan lemak pada leher, demikian pula deposit lemak pada abdomen dapat menyebabkan penyempitan pada saluran napas. Variabel lain yang diduga berpengaruh terhadap AHI adalah usia, jenis kelamin, kebiasaan merokok, dan skor Mallampati.Tujuan: Menganalisis hubungan ukuran antropometri dengan derajat OSA.Metode: Studi deskriptif analitik secara potong lintang dilakukan terhadap pasien dengan OSA di RSUP Dr. Kariadi, Semarang, pada bulan Januari-Agustus 2017. Kriteria inklusi adalah pasien yang dicurigai OSA berdasarkan skor STOPBANG >2. Pemeriksaan antropometri (indeks massa tubuh/IMT, lingkar leher, dan lingkar perut) berdasarkan metode dari ISO (the International Organization for Standardization), sedangkan pemeriksaan AHI menggunakan polisomnografi.Hasil: Uji korelasi bivariat terhadap 23 subjek menunjukkan hubungan bermakna antara derajat OSA dengan IMT dan lingkar leher, namun tidak berhubungan dengan lingkar perut. Uji multivariat menunjukkan variabel yang paling berhubungan dengan derajat OSA adalah IMT.Diskusi: Terdapat hubungan bermakna antara ukuran antropometri (IMT dan lingkar leher) dengan derajat OSA.Kata kunci: Apnea hypopnea index, indeks massa tubuh, lingkar leher, lingkar perut, obstructive sleep apnea

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Predictive value of craniofacial and anthropometric measures in obstructive sleep apnea (OSA)

Abstract: This preliminary study shows the utility of craniofacial and anthropometric variables in the identification of individuals at risk of OSA. These findings need to be further validated against the results of overnight polysomnography in a large independent population.

Cited by 15 publications

References 26 publications

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Influence of Obstructive Sleep Apnea Syndrome and Sleep Variables on Cognitive Performance and Psychological Distress in Severely Obese Patients

Predicting sleep apnea from three-dimensional face photography

Hubungan Ukuran Antropometri Dengan Derajat Obstructive Sleep Apnea

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