Usefulness in using portable overnight pulse oximeter for screening obstructive
sleep apnea in adult patients in primary health care setting
Lap - kin Chiang 蔣立建, Peter TK Ng 吳子敬, Cheuk - Wai Kam 金卓慧, Lorna V Ng 吳蓮蓮, Chak
- Yan Wong 黃澤仁, Kwok-sang Yee易國生, Hoi - Nam Tse 謝海南, Albert Lee 李大拔
HK Pract 2011;33:146-152
Summary
Objective: 1. To test the usefulness of using portable overnight
pulse oximeter for obstructive sleep apnea screening in primary health care. 2.
To assess the diagnostic accuracy of using portable overnight pulse oximeter for
obstructive sleep apnea screening in primary health care.
Design: Prospective cross-sectional study.
Subjects: 60 consecutive adult patients suspected to have obstructive
sleep apnea (OSA) in a General Outpatient Clinic affiliated to a regional hospital
of Hong Kong.
Main Outcome measures: Overnight pulse oximetry derived oxygen
desaturation index (ODI ) and polysomnography (PSG) derived apnea hypopnea index
(AHI).
Results: 51 out of 60 patients (85%) were confirmed to have OSA
by PSG study. 14.9 events/hr and 24.6 events/hr were detected by overnight pulse
oximetry derived ODI and PSG derived AHI respectively. The ODI and AHI has a correlation
coefficient of 0.7 (P < 0.0001) The mean and 1.96 SD of the difference between ODI
and AHI is 9.7 events/hr and 30.4 events/hr respectively. Using case designation
criteria of ≥5 events/hr for ODI, the sensitivity and specificity in diagnosis of
OSA is 92% and 88% respectively.
Conclusion: In a selected adult primary care population who are
at risk for OSA, overnight pulse oximetry shows good correlation with polysomnography
and has good screening performance as a screening tool for the diagnosis of OSA.
Keywords: Obstructive sleep apnea, portable overnight pulse oximeter,
primary health care
摘要
目的: 1.測試基層醫療使用便攜式通宵脈搏血氧儀篩選阻塞性睡眠窒息症的效用。2.評估基層醫療便攜式通宵脈搏血氧儀診斷阻塞性睡眠窒息症的準確度。
設計: 前瞻性橫斷面研究。
研究對象: 連續60名到香港地區醫院附屬綜合門診求診,並懷疑有阻塞性睡眠窒息的成年病人。
主要測量內容: 通宵脈搏血氧儀氧飽和度指數(ODI)和多導睡眠診斷儀(PSG)監測呼吸暫停或低通氣指數。
結果: 60名患者中,51例(85%)由PSG證實患有阻塞性睡眠窒息症。通宵脈搏血氧儀氧飽和度指數(ODI)的平均值是14.9次/小時
(標準差是13.6次/小時),而多導睡眠診斷儀呼吸暫停或低通氣指數(AHI)的平均值是24.6次/小時(標準差是21.4次/小時)。ODI與AHI的相關性係數
r = 0.7(P/= 5次/小時為篩選標準,其診斷阻塞性睡眠窒息的敏感性和特異性分別是92%和88%。
結論: 用於基層醫療有阻塞性睡眠窒息風險的成年病人檢查時,便攜式通宵脈搏血氧儀與多導睡眠診斷儀有良好的相關性;作為阻塞性睡眠窒息的篩選工具,具有良好的篩選性。
關鍵詞: 阻塞性睡眠窒息症,便攜式通宵脈搏血氧儀,基層醫療
Introduction
Obstructive sleep apnea (OSA) is a condition characterized by disordered breathing
during sleep. Prevalence of OSA is estimated to be between 4-8%.1,2 Cardiovascular
3-8 and neuropsychologicalmorbidities 9 and increased risk
of motor vehicleaccidents 10,11 have been demonstrated in patients with
untreated obstructive sleep apnea. Overnight full channel polysomnography (PSG)
performed in a sleep laboratory remains the gold standard diagnostic test. However,
PSG is time consuming, costly and requires expertise for interpretation.12
According to Young's study, 82% of men and 93% of women have undiagnosed moderate
to severe sleep apnea.13 Based on the estimated prevalence of sleep apnea,
the cost of full PSG to diagnose all suspected cases would be prohibitive.12
A vast number of patients present to primary health care for subjective daytime
sleepiness, frequent snoring at night or other symptoms suggestive of obstructive
sleep apnea. A conservative estimate of the "at risk" population who might be expected
to be referred for assessment is at least twice the prevalence (13%) of moderate
sleep apnea.14 Due to limitation of clinical assessment and lack of diagnostic
test, the usual practice for primary health care physicians is to refer patients
to a respiratory physician or sleep centre for confirmation test. According to Flemons
et al, the waiting time for sleep service in five countries range from 2 to 60 months.14
There is a need for a simpler and cheaper screening test that can be implemented
in primary care.
Methodology
Objective
1. To test the usefulness of using portable overnight pulse oximeter for obstructive
sleep apnea screening in primary health care.
2. To assess the diagnostic accuracy of using portable overnight pulse oximeter
for obstructive sleep apnea screening in primary health care.
Study population
60 consecutive patients aged from 18 to 75 years old attending a general outpatient
clinic, with one or more of the following criteria were recruited: body mass index
(BMI) > 25kg/m2; neck circumference > 16 inches for women, > 17 inches
for men; poorly controlled hypertension (note 1); poorly controlled type 2 diabetes
mellitus (note 2); congestive heart failure; cardiac arrhythmia; erectile dysfunction
of undetermined aetiology; subjective daytime sleepiness or excessive snoring at
sleep. Exclusion criteria include: haemoglobin < 10 g/l; poor tissue perfusion (such
as Raynaud's disease), nail vanish, fungal infection of nails; chronic obstructive
pulmonary disease (COPD);or difficult to co-operate (such as dementia).
Study design
In this prospective study, overnight pulse oximetry was arranged for patients attending
a general outpatient clinic with suspected OSA after a focused assessment (including
history, physical examination and use of the Epworth Sleepiness Scale). All study
patients were then referred to a Sleep Study Centre for at-home overnight PSG.
This study was approved by the Clinical Research Ethics Committee, Kowloon West
Cluster of the Hospital Authority.
Measurement
Polysomnography
PSG was arranged by the sleep centre about 2 to 4 weeks after the overnight pulse
oximetry, and was performed in patients' own home.
All PSG data were recorded by a computerized polysomnographic system (Alice 5, Philips).
These included standardized montage: two channel electroencephalograms (EEG), electro-oculograms
(EOG), submental and leg electromyograms (EMG), electrocardiography (ECG), airflow
measurement by thermistor, thoraco-abdominal movements measured by inductive plethysmography,
and SaO2 with pulse oximeter.
Portable overnight pulse oximeter
The Konica Minolta Pulsox - 300i portable overnight pulse oximeter was used for
this study. Pulse rate and SaO2 value were continuously measured overnight and stored
in the oximeter. Recorded data were then transferred to a computer for processing
and analysis. The SaO2 analysis, pulse rate analysis, oxygen desaturation index
(ODI: number of oxygen desaturation events per hour of measurement time) and pulse
disorder index (pulse rises events per hour of measurement time) were generated
in the report.
Event definition
For both PSG and overnight pulse oximetry, apneas, hypopneas, apnea-hypopnea index,
oxygen desaturation and oxygen desaturation index were defined according to standard
criteria. The PSG apnea-hypopnea index (AHI) was considered as the diagnostic definition
for OSA, where OSA severity is categorized as mild (AHI = 5 to 14 events/hr), moderate
(AHI = 15 to 30 events/hr), and severe (AHI > 30 events/hr).15,16
Oxygen desaturation was defined as a decrease of ≥ 4% from baseline SaO2.15
Oxygen desaturation index (ODI_4) was used as screening diagnostic criteria in this
study. Subjects who had sleep disordered breath events associated with 5 or more
oxygen desaturation events of the peripheral artery of 4% or greater per hour (ODI_4
≥ 5/hr) was defined as screening positive.
Statistical analysis
Continuous variables were described as mean and standard deviation (SD). The correlation
and agreement between ODI and PSG derived AHI in the diagnosis of obstructive sleep
apnea were assessed using Pearson's product-moment correlation coefficient and Bland-
Altman plots.17
Overnight pulse oximetry was used as the test and polysomnography as the gold standard
for the correct classification of OSA and non-OSA patients. The number of true-positive
(TP), false-positive (FP), true-negative (TN) and false-negative (FN) were then
determined. Sensitivity (TP/[TP+FN]), specificity (TN/[TN+FP]) and positive (TP/[TP+FP])
and negative predictive values (TN/[TN+FN]) were calculated. A receiver operating
characteristic (ROC) curve was constructed for reviewing the comparative course
of sensitivity and 1-specificity at different thresholds.
Quality assurance
All computer generated overnight pulse oximetry and polysomnography would be verified
by respiratory specialist to ensure validity and quality. PSG was performed by trained
technician from Celki Medical Company, which provided sleep study equipment and
support to sleep study centres under the Hospital Authority of Hong Kong.
Results
Patient characteristics
60 consecutive patients (21 females and 39 males) were successfully recruited from
November 2009 to June 2010. Table 1 summarizes the patients' characteristics,
anthropomorphic measurements, overnight pulse oximetry and PSG results.
Correlation and agreement between overnight pulse oximetry and polysomnography
OSA was diagnosed by PSG in 51 patients, with a mean AHI of 24.6 events/hr (SD =
21.4 events/hr). The number (%) of mild, moderate and severe OSA were 14 (28%),
20 (39%) and 17 (33%) respectively. The mean overnight pulse oximetry derived ODI_4
was 14.9 events/hr (SD = 13.6 events/hr).
Both scatter plot (Figure 1) and dot and line diagram demonstrated
(Figure 2) a linear relationship between ODI_4 and AHI. Pearson's
correlation coefficient for ODI_4 and PSG derived AHI was 0.7 (P < 0.0001). The
mean and 1.96 SD of the difference between ODI_4 and AHI was 9.7 events/hr and 30.4
events/hr. The Bland & Altman Plot is illustrated in Figure 3.
Most dots lied between the +/- 1.96 SD of the mean difference line.
Diagnostic (Screening) performance of overnight pulse oximetry
The diagnostic performance of overnight pulse oximetry at various designation were
tabulated in Table 2. A receiver operating characteristic (ROC)
curve of ODI_4 in the diagnosis of OSA was shown in Figure 4. Based
on ROC curve of ODI_4, the best cut off criterion is 4.42 events/hr, with a sensitivity
and specificity of 96.1% and 88.9% respectively. Using case designation criteria
of ≥ 5 events/hr for ODI_4, the sensitivity and specificity for OSA diagnosis are
92% and 88% respectively.
Discussion
To be an effective screening tool for OSA, overnight pulse oximetry must be able
to screen out patients with all levels of disease severity and be able to rule out
patients without disease in a manner that is less expensive than current diagnostic
procedures. We investigated the usefulness of overnight pulse oximetry as a screening
tool for OSA by comparing diagnostic performance directly with PSG. According to
review paper by Nikolaus et al, there was broad range of sensitivity and specificity
value for pulse oximetry as a screening tool for sleep-disordered breathing, the
value for sensitivity ranged from 31 to 98% while specificity ranged from 41 to
100%.15
In our study, ODI _ 4 and AHI had a good correlation. Nevertheless, ODI is globally
less than AHI, the reasons for which are unclear. Decreased sleep efficiency may
decrease the ODI since it is derived from the total probe-on time and not total
sleep time.18 Furthermore, technical limitations may impair the detection
of hypopneaic changes. The typical cyclical drop in SaO2 in patients with OSA lags
45 to 60 seconds behind a respiratory event and should be accurately detected at
this measurement speed.19
For screening purpose, one chooses a high sensitivity in order not to falsely exclude
from further investigation patients having the disease in question. For treatment
decisions, one chooses a higher specificity in order not to inflict investigation
or treatment on patients without the disease. There is no uniform definition for
a normal or abnormal oxygen desaturation index (ODI).15 In Stradling
JR 20, Kripke DF et al 21 studies, the threshold for an abnormal
ODI is either ≥ 5 desaturation per hour. Using this designation in our study, the
sensitivity, specificity, positive predictive value and negative predictive value
are 92%, 88%, 98% and 67% respectively. The results support the implication of overnight
pulse oximetry as the screening tool for OSA for selected population in the primary
health care.
Epworth Sleepiness Scale (ESS) is a validated method of assessing the likelihood
of falling asleep in a variety of situations.22 Although the correlation
between ESS and OSA severity is relatively weak, ESS is the best available tool
to guide the clinician as to the patients' perception of his/her sleepiness.23,24
Continuous positive airway pressure (CPAP) functions as a pneumatic splint to maintain
upper airway patency through all phases of sleep breathing. CPAP has been established
as the treatment of OSA with the firmest evidence base.25 American Academy
of Sleep Medicine (AASM) recommended CPAP as the standard treatment of moderate
to severe OSA and self-reported sleepiness, while it is the optional treatment for
mild OSA, improving quality of life or as an adjunctive therapy to lower blood pressure
in hypertensive patients with OSA.16
Key messages
1. OSA is common with an estimated prevalence between 4 - 8% of the population.
2. Cardiovascular and neuropsychological morbidities, and increased risk of motor
vechicle accidents have been demonstrated in untreated OSA.
3. Overnight full-channel PSG performed in a sleep laboratory remains the gold standard
diagnostic test.
4. Using case designation criteria of ≥ 5 events/hr for ODI_4, the sensitivity and
specificity of overnight pulse oximetry for the diagnosis of OSA is 92% abd 88%
respectively.
Oximetry alone is often used as the first screening tool for obstructive sleep apnea
due to the universal availability of cheap recording pulse oximeters.26
In Japan, overnight pulse oximetry had been used for OSA screening for workers in
transport, construction, retail and security companies. The study concluded that
the simplicity of the sleep apnea syndrome screening by overnight pulse oximetry
makes it easy to use for screening of workers, and this method was highly effective
in detecting individuals with severe sleep apnea syndrome for whom continuous positive
airway pressure (CPAP) therapy was indicated.27
Based on current available evidences or recommendations and results from this study,
it is suggested that CPAP might be initiated to selected patients if he or she has
OSA associated symptoms and overnight pulse oximetry confirmed OSA of at least moderate
severity. This clinical pathway may reduce the harm associated with OSA when diagnosis
is delayed due to prolonged waiting time. Further studies should be conducted to
assess the feasibility, safety and outcome of initiating CPAP for patients in the
primary health care setting.
Key Conclusion
In a selected adult primary care population who are at risk for OSA, overnight pulse
oximetry shows good correlation with PSG and has good performance as a screening
tool for the diagnosis of OSA.
Acknowledgment
This study was funded by the Hong Kong College of Family Physicians Research Fellowship
award 2009. Authors would like to thank the Hong Kong College of Family Physicians
for providing generous support to research in the primary care.
Lap-kin Chiang, MBChB (HK), MFM (Monash)
Resident
Peter TK Ng, MBBS (HK), MFM (Monash), FHKCFP, FRACGP
Medical Officer
Cheuk-wai Kam, LMCHK, MFM (CUHK)
Medical Officer
Lorna Ventura Ng, LMCHK, MPH (CUHK), FHKCFP, FHKAM (Fam Med)
Senior Medical Officer i/c
General Outpatient Department, Kwong Wah Hospital
Chak-yen Wong, MBBS, FHKAM (Resp Med)
Retired Senior Medical Officer
Chest and TB Unit, Wong Tai Sin Hospital
Kwok-sang Yee, MBChB, FHKAM (Resp Med)
Consultant
Hoi-nam Tse, MBChB, FHKAM (Resp Med)
Resident Specialist
Department of Medical and Geriatrics, Kwong Wah Hospital
Albert Lee, MD, FFPH(UK), FHKCFP , FHKAM(Fam Med)
Professor (Clinical)
School of Public Health and Primary Care, The Chinese University of Hong Kong
Correspondence to : Dr Lap-kin Chiang, General Outpatient Department, 1/F,
Tsui Tsin Tong Outpatient Building, Kwong Wah Hospital, 25 Waterloo Road, Mongkok,
Kowloon. Hong Kong SAR.
References
- Ip MSM, Lam B, Lauder IJ, et al. A community study of sleep-disordered breathing
in middle-aged Chinese men in Hong Kong, Chest 2001 Jan;119(1):62-69.
- Young T, Palta M, et al. The Occurrence of Sleep-Disordered Breathing Among Middle-Aged
Adults. New England Journal of Med. 1993;328(17):1230-1235.
- Koskenvuo M, Kaprio J, Partinen M, et al. Snoring as risk factor for hypertension
and angina pectoris. Lancet 1985;1:893-896.
- Partinen M, Pult konen PT, Kaprio J, et al. Sleep disorders in relation to coronary
heart disease. Acta Med Scand Supp 1982;660:69-83.
- Partinen M, Palomaki H. Snoring and cerebral infarction. Lancet 1985:1:1325-1326.
-
Marin J.M., Carrizo S.J., Vicente E., et al. Long-term cardiovascular outcomes in
men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous
positive airway pressure: an observational study.
- Young T., Peppard P., Palta M., et al. Population-based study of sleepdisordered
breathing as a risk factor for hypertension. Arch Intern Med. 1997 Aug 11-25;157(15):1746-1752.
- Yaggi H.K., Concato J., Kernan W.N., et al. Mohsenin V.. Obstructive sleep apnea
as a risk factor for stroke and death. New Engl. J. Med., 2005 Nov 10:353(19):2034-2041.
- Engleman HM, Martin SE, Deary IJ, et al. Effect of continuous positive airway pressure
treatment on daytime function in sleep apnea/hypopnea syndrome. Lancet 1994;343:572-575.
- Young T. Sleep-disordered breathing and motor vehicle accidents in a population
based sample of employed adults. Sleep 1997;20:608-613.
- Barbe, Pericas J, Munoz A, et al. Automobile accidents in patients with sleep apnea
syndrome. An epidemiological and mechanistic study. Am J Respir Crit Care Med. 1998
Jul;158(1):18-22.
- Systematic Review of the Literature Redarding the Diagnosis of Sleep Apnea. Summary,
Evidence Report/Technology Assessment: http://www.ahrq.gov/clinic/epcsums/apneasum.htm
- Young T, Evans L, Finn L, et al. Estimation of the clinically diagnosed proportion
of sleep apnea syndrome in middle-aged men and women. Sleep 1997;20:705-706.
- Flemons W.W., Douglas N.J., Kuna S.T., et al. Access to diagnosis and treatment
of patients with suspected sleep apnea. Am j Respir Crit Care Med, Vol 169, pp668-672,
2004.
- Nikolaus N, Eliasson AH, Cordula N, et al. Overnight pulse oximetry for sleep-disordered
breathing in adults: a review. Chest 2001;vol 120(2),pp625-633.
- Task force members: Lawrence JE et al. Clinical Guideline for the Evaluation, Management
and Long-term Care of Obstructive Sleep Apnea in Adults. Journal of Clinical Sleep
Medicine, 2009;Vol5,No 3:263-276.
- Bland JM; AltmanDG. Statistical methods for assessing agreement between two methods
of clinical measurement. Lancet 1986; Feb 8: 307-310.
- Vazquez JC, Tsai WH, Flemons WW, Masuda A, Brant R, Hajduk E, Whitelaw WA, Remmers
JE. Automated analysis of digital oximetry in the diagnosis of obstructive sleep
apnea. Thorax 2000, Apr;55(4):302-307.
- Warley ARH, Mitchell JH, Stradling JR. Evaluation of the Ohmeda 3700 pulse oximeter.
Thorax 1987;42:892-896.
- Stradling JR, Crosby JH. Predictors and prevalence of obstructive sleep apnea and
snoring in 1001 middle aged men. Thorax 1991;46:85-90.
- Kripke DF, Acoli-Israel S, Klauber MR, et al. Prevalence of sleepdisordered breathing
in ages 40-64 years: a population-based survey. Sleep 1997;20:65-76.
- John MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale.
Sleep 1991;14:540-545.
- Kingshott RN, Engleman HM, Deary IJ, et al. Does arousal frequency predict daytime
function? Eur Resp J 1998;12:1264-1270.
- Kingshott RN, Sime PJ, Engleman HM, et al. Self assessment of daytime sleepiness:
patient versus partner. Thorax 1995;50:994-995.
- Wright J, White J, Duchame F. Continuous positive airway pressure for obstructive
sleep apnea (Cochrane Review). The Cocghrane Library, Issue 1, 2002. Oxford: update
software.
- Scottish Intercollegiate Guidelines Network. Management of Obstructive Sleep Apnea/Hypopnea
Syndrome in Adults. A national clinical guideline. June 2003.
- The Usefulness of Sleep Apnea Syndrome Screening Using a Portable Pulse Oximeter
in the Workplace. Kuniyuki N, Kazuhiko E, Hiroko H, Shunsuke S, Tetsuya M and Yasuo
M. J Occup Health 2007;49:1-8.
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