Reducing cost and time to diagnosis and treatment of obstructive sleep apnea using ambulatory sleep study: a Singapore sleep centre experience.

PURPOSE: The current gold standard for diagnosis of obstructive sleep apnea (OSA) is overnight in laboratory polysomnography (PSG). However, PSGs are expensive, labor-intensive, and have long wait times. An ambulatory sleep study device, the WatchPAT, has been shown to have high correlation for sleep indices measured compared with PSG (AASM, 2016). Use of the WatchPAT could potentially lead to shorter waiting times and earlier diagnosis of OSA (Lancet Resp Med 3:310-8, 2015). Our study aimed to investigate if WatchPAT reduces time to diagnosis and treatment of OSA in a tertiary healthcare setting. A secondary aim was to investigate the cost-benefit of an ambulatory sleep study. METHODS: All patients who underwent diagnostic sleep studies in a single tertiary institution from 2014 to 2017 were retrospectively reviewed. Baseline characteristics and time from ordering of sleep study to prescription of continuous positive airway pressure were recorded. Data were categorized into two groups by type of diagnostic sleep study, PSG, and WatchPAT. The time to treatment and cost for diagnosis of OSA were compared between groups with the Paired T test/Wilcoxon signed-rank test. RESULTS: Of 1898 patients who had diagnostic sleep studies over a 4-year period, 1660 patients (88%) underwent PSG and 238 patients (12%) underwent WatchPAT. Patients in the WatchPAT group had a shorter time to diagnosis (21 days versus 79.8 days, p < 0.001) and treatment (46.3 days versus 118.4 days, p < 0.001) compared to the PSG group. Cost-benefit calculation showed that this earlier treatment led to cost-saving of US $1179.50 per patient. CONCLUSION: An ambulatory sleep study is an option for earlier access to diagnosis and treatment of OSA with the potential of considerable cost savings.

Cost-effectiveness Analysis of Preoperative Screening Strategies for Obstructive Sleep Apnea among Patients Undergoing Elective Inpatient Surgery.

BACKGROUND: Obstructive sleep apnea is underdiagnosed in surgical patients. The cost-effectiveness of obstructive sleep apnea screening is unknown. This study's objective was to evaluate the cost-effectiveness of preoperative obstructive sleep apnea screening (1) perioperatively and (2) including patients' remaining lifespans. METHODS: An individual-level Markov model was constructed to simulate the perioperative period and lifespan of patients undergoing inpatient elective surgery. Costs (2016 Canadian dollars) were calculated from the hospital perspective in a single-payer health system. Remaining model parameters were derived from a structured literature search. Candidate strategies included: (1) no screening; (2) STOP-Bang questionnaire alone; (3) STOP-Bang followed by polysomnography (STOP-Bang + polysomnography); and (4) STOP-Bang followed by portable monitor (STOP-Bang + portable monitor). Screen-positive patients (based on STOP-Bang cutoff of at least 3) received postoperative treatment modifications and expedited definitive testing. Effectiveness was expressed as quality-adjusted life month in the perioperative analyses and quality-adjusted life years in the lifetime analyses. The primary outcome was the incremental cost-effectiveness ratio. RESULTS: In perioperative and lifetime analyses, no screening was least costly and least effective. STOP-Bang + polysomnography was the most effective strategy and was more cost-effective than both STOP-Bang + portable monitor and STOP-Bang alone in both analyses. In perioperative analyses, STOP-Bang + polysomnography was not cost-effective compared to no screening at the $4,167/quality-adjusted life month threshold (incremental cost-effectiveness ratio $52,888/quality-adjusted life month). No screening was favored in more than 90% of iterations in probabilistic sensitivity analyses. In contrast, in lifetime analyses, STOP-Bang + polysomnography was favored compared to no screening at the $50,000/quality-adjusted life year threshold (incremental cost-effectiveness ratio $2,044/quality-adjusted life year). STOP-Bang + polysomnography was favored in most iterations at thresholds above $2,000/quality-adjusted life year in probabilistic sensitivity analyses. CONCLUSIONS: The cost-effectiveness of preoperative obstructive sleep apnea screening differs depending on time horizon. Preoperative screening with STOP-Bang followed by immediate confirmatory testing with polysomnography is cost-effective on the lifetime horizon but not the perioperative horizon. The integration of preoperative screening based on STOP-Bang and polysomnography is a cost-effective means of mitigating the long-term disease burden of obstructive sleep apnea.

Self-setup of home respiratory polygraphy for the diagnosis of sleep apnea syndrome: cost-efficiency study.

PURPOSE: To evaluate the differences in reliability and costs of home respiratory polygraphy (HRP) when installed by the patient and by a nurse, in order to determine the factors affecting and to consider the possible generalization of self-setup procedure. Several HRP devices have been validated for obstructive sleep apnea (OSA) diagnosis but convenience of a nurse intervention in HRP installation has been scarcely studied. METHODS: This is a prospective and interventional study. About 301 participants were assigned to 2 groups: self-setup and nurse intervention. Sleep study, questionnaires, and diagnostic procedures were performed following the clinical practice in 2016. Signals were considered lost above 3 min, and success of the test was established according to guidelines. Costs were calculated according to a previous multicenter study. RESULTS: Both groups (self-setup and nurse intervention) resulted homogeneous in age, gender, BMI, and final diagnosis of OSA. Signal losses during the test were similar in both groups. Slightly higher percentage of unsuccessful tests were obtained in the self-setup procedure (5.3 vs 2.0%, p = 0.121). The costs were similar (107 vs 105 €) in the self-setup group as compared to the nurse setup group. CONCLUSIONS: The setup of HRP by either the patient or nurse had similar costs and data acquisition. Both installation procedures of HRP were similar regarding test reliability and costs. Main findings are that self-installation by the patient could be similarly reliable and economic as installation by a nurse, as far as consensus guidelines are followed. This study demonstrates that self-setup of HRP is a potentially viable option for the diagnosis of OSA.

A predictive model for obstructive sleep apnea and Down syndrome.

Obstructive sleep apnea (OSA) occurs frequently in people with Down syndrome (DS) with reported prevalences ranging between 55% and 97%, compared to 1-4% in the neurotypical pediatric population. Sleep studies are often uncomfortable, costly, and poorly tolerated by individuals with DS. The objective of this study was to construct a tool to identify individuals with DS unlikely to have moderate or severe sleep OSA and in whom sleep studies might offer little benefit. An observational, prospective cohort study was performed in an outpatient clinic and overnight sleep study center with 130 DS patients, ages 3-24 years. Exclusion criteria included previous adenoid and/or tonsil removal, a sleep study within the past 6 months, or being treated for apnea with continuous positive airway pressure. This study involved a physical examination/medical history, lateral cephalogram, 3D photograph, validated sleep questionnaires, an overnight polysomnogram, and urine samples. The main outcome measure was the apnea-hypopnea index. Using a Logic Learning Machine, the best model had a cross-validated negative predictive value of 73% for mild obstructive sleep apnea and 90% for moderate or severe obstructive sleep apnea; positive predictive values were 55% and 25%, respectively. The model included variables from survey questions, medication history, anthropometric measurements, vital signs, patient's age, and physical examination findings. With simple procedures that can be collected at minimal cost, the proposed model could predict which patients with DS were unlikely to have moderate to severe obstructive sleep apnea and thus may not need a diagnostic sleep study.

A prediction model based on artificial neural networks for the diagnosis of obstructive sleep apnea.

BACKGROUND: Recently, artificial neural networks (ANNs) have been widely applied in science, engineering, and medicine. In the present study, we evaluated the ability of artificial neural networks to be used as a computer program and assistant tool in the diagnosis of obstructive sleep apnea (OSA). Our hypothesis was that ANNs could use clinical information to precisely predict cases of OSA. METHOD: The study population in this clinical trial consisted of 201 patients with suspected OSA (140 with a positive diagnosis of OSA and 61 with a negative diagnosis of OSA). The artificial neural network was trained by assessing five clinical variables from 201 patients; efficiency was then estimated in this group of 201 patients. The patients were classified using a five-element input vector. ANN classifiers were assessed with the multilayer perceptron (MLP) networks. RESULTS: Use of the MLP classifiers resulted in a diagnostic accuracy of 86.6 %, which in clinical practice is high enough to reduce the number of patients evaluated by polysomnography (PSG), an expensive and limited diagnostic resource. CONCLUSIONS: By establishing a pattern that allows the recognition of OSA, ANNs can be used to identify patients requiring PSG.

A health-economic analysis of diagnosis and treatment of obstructive sleep apnea with continuous positive airway pressure in relation to cardiovascular disease. The Greek experience.

PURPOSE: Obstructive sleep apnea syndrome (OSAS) is common in adult population and it is associated with increased morbidity and mortality, especially due to cardiovascular disease (CVD). Both diagnosis, based on polysomnography, and treatment with continuous positive airway pressure (CPAP), carry a potentially high cost. The present study aims to analyze the cost-effectiveness of CPAP treatment versus no treatment, in the long-term, as it examines the effect of this treatment on the incidence of CVD. METHODS: A Markov model was constructed to observe the disease evolution in patients with OSAS based on published evidence. Data on treatment costs were collected from public hospitals in Greece. Within each cycle of the model, each patient may remain free of CVD, may develop CVD, may die due to a cause related to CVD, or may die from other causes. The model begins at the age of 55 years in a severe OSAS patient (apnea-hypopnea index ≥30/h) and lasts for 45 years. RESULTS: Within the limitation of the model, CPAP was found to be a cost-effective strategy versus no treatment, due to the reduction of the cost for the CVD treatment, when the analysis was restricted to the male population. Moreover, CPAP was found to be clinically more effective than no treatment, as it increases life expectancy in both males and females. CONCLUSIONS: CPAP was found to be clinically more effective therapy than no treatment in relation to CVD and a cost-effective strategy in males with severe OSAS.

Cost-effectiveness of obstructive sleep apnea screening for patients with diabetes or chronic kidney disease.

PURPOSE: Obstructive sleep apnea (OSA) is a common disorder with a high prevalence among patients with cardiovascular disease (CVD), diabetes, and chronic kidney disease (CKD). Routine evaluation of OSA for patients with CVD including hypertension has been performed according to the clinical guidelines for both OSA and CVD. However, most patients with diabetes and CKD who could benefit from treatment remain undiagnosed because routine screening of OSA is not recognized as part of standard practice. This study aims to evaluate the cost-effectiveness of OSA screening for patients with diabetes and CKD. METHODS: Cost-effectiveness analysis by a decision tree and Markov modeling from the societal perspective in Japan was carried out to provide evidence based on the economic evaluation of current clinical practice concerning diabetes and CKD. RESULTS: Incremental cost-effectiveness ratios of OSA screening compared with do-nothing were calculated as ¥3,516,976 to 4,514,813/quality-adjusted life year (QALY) (US$35,170 to 45,148/QALY) for diabetes patients and ¥3,666,946 to 4,006,866/QALY (US$36,669 to 40,069/QALY) for CKD patients. CONCLUSIONS: Taking the threshold to judge cost-effectiveness according to a suggested value of social willingness to pay for one QALY gain in Japan as ¥5 million/QALY (US$50,000QALY), OSA screening is cost-effective. Our results suggest that active case screening and treatment of OSA for untreated middle-aged male patients with diabetes or CKD could be justifiable as an efficient use of finite health-care resources in the world with high prevalence of these diseases.

Level 2 Polysomnography for the Diagnosis of Sleep Disorders: A Health Technology Assessment.

Background: It is estimated that half of Canadians have insufficient sleep, which over time is associated with poor physical and mental health. Currently, the only publicly funded option for the diagnosis of sleep disorders in Ontario is an in-person overnight sleep study, performed in a hospital or independent health facility (known as a level 1 polysomnography). Level 2 polysomnography has been proposed as an alternative that can be conducted at home for the diagnosis of suspected sleep disorders, if considered to have sufficient diagnostic accuracy. We conducted a health technology assessment of level 2 polysomnography for the diagnosis of suspected sleep disorders in adults and children, which included an evaluation of the test performance, cost-effectiveness, and budget impact of publicly funding level 2 polysomnography, and the experiences, preferences, and values of people with suspected sleep disorders. Methods: We performed a systematic literature search of the clinical evidence to identify diagnostic accuracy, test failures and subjective measures of patient preferences. We assessed the risk of bias of each included study (using the Quality Assessment of Diagnostic Accuracy Studies [QUADAS-2] tool) and the quality of the body of evidence (according to Grading of Recommendations Assessment, Development, and Evaluation [GRADE] Working Group criteria). We performed a systematic literature search of economic evidence and conducted a primary economic evaluation and budget impact analysis to determine the cost-effectiveness and additional costs of publicly funding level 2 polysomnography for adults and children with suspected sleep disorders in Ontario. To contextualize the potential value of using level 2 polysomnography, we spoke with people with sleep disorders. Results: We included 10 studies that reported on diagnostic accuracy and found level 2 polysomnography had sensitivity ranging between 0.76-1.0 and specificity ranging between 0.40-1.0 (GRADE: Moderate to Very low) when compared with level 1 polysomnography. Studies reported test failure rates from 0% to 20%, with errors present in both level 1 and level 2 tests conducted (GRADE: Very low). As well, some of these studies reported patients were found to have mixed opinions about their experiences, with more people preferring their experience with level 2 testing at home and having better quality of sleep compared with when they underwent level 1 testing (GRADE not conducted).Our primary economic evaluation showed that for adults with suspected sleep disorders, the new diagnostic pathway with level 2 polysomnography was equally effective (outcome: confirmed diagnosis at the end of the pathway) as the current practice diagnostic pathway with level 1 polysomnography. With the assumption of a lower technical fee for level 2 polysomnography, the new diagnostic pathway with level 2 polysomnography was less costly than the current practice diagnostic pathway (a saving of $27 per person with a wide 95% credible interval [95% CrI, -$137 to $121]), indicating that the results are highly uncertain. For children, a new diagnostic pathway with level 2 polysomnography was associated with additional costs (mean, $9.70; 95% CrI, -$125 to $190), and similarly, this estimate was highly uncertain.We estimated that the budget impact of publicly funding level 2 polysomnography for adults is uncertain and could range from savings of $22 million to additional costs of $43 million. Publicly funding a diagnostic pathway with level 2 polysomnography for children could result in additional costs of about $0.005 million over the next 5 years.People with whom we spoke reported that their sleep disorder negatively impacted their day-to-day lives, mental health, social and family relationships, and work. Participants who had experience with in-clinic (level 1) polysomnography described negative experiences they had at the clinic. Most people said they would prefer at-home (level 2) polysomnography over in-clinic (level 1) polysomnography, citing comfort and convenience as the main reasons; however, some people who have physical limitations preferred level 1 (in-clinic) polysomnography because they needed assistance to set up the equipment. Conclusions: Level 2 polysomnography may have good test performance for adults and children, with adequate diagnostic accuracy, compared with level 1 polysomnography. The economic analyses showed that level 2 polysomnography for adults with suspected sleep disorders could be potentially cost saving but there is high uncertainty in the cost-effectiveness results. Given very limited information, the cost-effectiveness of this technology is also highly uncertain for children and young adults with suspected sleep disorders. The budget impact of publicly funding level 2 polysomnography for adults could range from savings of $22 million to additional costs of $43 million. Publicly funding level 2 polysomnography in children would require additional costs of about $0.005 million over the next 5 years. A clearer understanding of uptake of the technology, test costs, and the implementation pathway for adopting the technology is needed to improve the certainty of the cost-effectiveness and budget impact estimates. People with sleep disorders highlighted how important getting a diagnosis had been in order to be able to seek proper treatment for their sleep disorder and improve their lives. For many people with suspected sleep disorders, undergoing a sleep study at home would be a more comfortable and convenient option than undergoing a sleep study in clinic.

Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study.

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is a highly prevalent, yet underdiagnosed, condition. Due to its adverse impact on risk for cardiopulmonary disorders, there is interest in proactive screening of OSA in hospitalized patients. We studied the long-term outcome of such screened patients who were initiated on positive airway pressure therapy. METHODS: Hospitalized patients who screened positive for OSA and were confirmed with postdischarge polysomnography were dichotomized by positive airway pressure therapy adherence and followed for a period of 12 months to evaluate for the composite end point of hospital readmissions and emergency department visits for cardiopulmonary reasons. Cost analysis between the 2 groups was also conducted. RESULTS: A total of 2,042 hospitalized patients were assessed for OSA as part of a hospital sleep medicine program from August 2019-June 2023. Of these, 293 patients were diagnosed with OSA and prescribed positive airway pressure therapy. Of these 293 patients, 108 were adherent to therapy and 185 were nonadherent. The overall characteristics of the groups included a mean (standard deviation) age of 58 years (12.82), mean body mass index (kg/m2) of 39.72 (10.71), 57% male sex, and apnea-hypopnea index of 25.49 (26). Of the patients, 78%, 41%, and 43% had hypertension, congestive heart failure, and diabetes mellitus, respectively. The composite end point of hospital readmissions and emergency department visits for cardiovascular and pulmonary reasons was significantly higher in the nonadherent group than in the adherent group (hazard ratio, 1.24; 95% confidence interval, 1-1.54) (P = .03). The cost of care for both hospital billing as well as professional billing was higher for the nonadherent group ($1,455.60 vs $1,723.50, P = .004 in hospital billing cost and $130.90 vs $144.70, P < .001 in professional billing). Length of stay was higher for nonadherent patients (2.7 ± 5.1 days vs 2.3 ± 5.9 days). CONCLUSIONS: Hospitalized patients diagnosed with OSA and adherent to therapy have reduced readmissions and emergency department visits for cardiopulmonary reasons 12 months after discharge. Adherent patients have reduced cost of health care and length of stay during hospitalizations. CITATION: Sharma S, Stansbury R, Srinivasan P, et al. Early recognition and treatment of OSA in hospitalized patients and its impact on health care utilization in rural population: a real-world study. J Clin Sleep Med. 2024;20(8):1313-1319.

Provision of home mechanical ventilation and sleep services for England survey.

The Department of Health is promoting the generation of specialist networks to manage long term ventilatory weaning and domiciliary non-invasive ventilation patients. Currently the availability of these services in England is not known. We performed a short survey to establish the prevalence of sleep and ventilation diagnostic and treatment services. The survey focussed on diagnostic services and Home Mechanical Ventilation (HMV) provision, and was divided into (a) availability of diagnostics, (b) funding, and (c) patient groups. This survey has confirmed that the majority of Home Mechanical Ventilation set-ups are currently for Obesity Related Respiratory Failure and Chronic Obstructive Pulmonary Disease. We have found that there is variable provision of diagnostic services, with the majority of units offering overnight oximetry (95%) but only 55% of responders providing a home mechanical ventilation service. Even more interestingly, less than two thirds of units charged their primary care trust for this service. These data may assist in the development of regional networks and specialist home mechanical ventilation centres.

Effectiveness of sequential automatic-manual home respiratory polygraphy scoring.

Automatic home respiratory polygraphy (HRP) scoring functions can potentially confirm the diagnosis of sleep apnoea-hypopnoea syndrome (SAHS) (obviating technician scoring) in a substantial number of patients. The result would have important management and cost implications. The aim of this study was to determine the diagnostic cost-effectiveness of a sequential HRP scoring protocol (automatic and then manual for residual cases) compared with manual HRP scoring, and with in-hospital polysomnography. We included suspected SAHS patients in a multicentre study and assigned them to home and hospital protocols at random. We constructed receiver operating characteristic (ROC) curves for manual and automatic scoring. Diagnostic agreement for several cut-off points was explored and costs for two equally effective alternatives were calculated. Of 366 randomised patients, 348 completed the protocol. Manual scoring produced better ROC curves than automatic scoring. There was no sensitive automatic or subsequent manual HRP apnoea-hypopnoea index (AHI) cut-off point. The specific cut-off points for automatic and subsequent manual HRP scorings (AHI >25 and >20, respectively) had a specificity of 93% for automatic and 94% for manual scorings. The costs of manual protocol were 9% higher than sequential HRP protocol; these were 69% and 64%, respectively, of the cost of the polysomnography. A sequential HRP scoring protocol is a cost-effective alternative to polysomnography, although with limited cost savings compared to HRP manual scoring.

Accuracy of the clinical parameters and oximetry to initiate CPAP in patients with suspected obstructive sleep apnea.

OBJECTIVE: The aim of this study was to assess the accuracy of oximetry and the clinical parameters for the prescription of continuous positive airway pressure (CPAP) in patients with suspected obstructive sleep apnea syndrome (OSAS). METHODS: All participants (135) performed oximetry (WristOx 3100™) and polysomnography (PSG) simultaneously in the sleep laboratory. The patients completed the Epworth sleepiness scale, the Berlin questionnaire, and a clinical history. Two blind independent observers decided to prescribe CPAP according to the results of the PSG (gold standard, observer A), oximetry (alternative method, observer B), and the clinical parameters. The accuracy of observer B on the indication of CPAP, using different cutoff points of the adjusted desaturation index (ADI3 and ADI4), was evaluated by the area under the receiver operating characteristics curve (AUC-ROC). The interobserver agreement for the indication of CPAP was assessed using kappa statistics. RESULTS: One hundred nineteen subjects were included (92 men; mean age, 53; median respiratory disturbance index, 22.6; median BMI, 27.5 kg/m(2)). Depending on the criteria used in oximetry, the sensitivity and specificity of observer B to initiate a CPAP trial ranged from 79.8% to 92.5% and of 92% to 96%, respectively. The best performance for the indication of CPAP was noted with the adjusted O(2) desaturation index ≥ 3% (AUC-ROC, 0.923). The inter-rater agreement for the prescription of CPAP was good (kappa, 0.60 to 0.79). CONCLUSION: This simulated study has shown that the use of oximetry plus clinical data has made it possible to indicate CPAP reliably in nearly 90% of the population with OSAS.

Effectiveness of home respiratory polygraphy for the diagnosis of sleep apnoea and hypopnoea syndrome.

INTRODUCTION: Home respiratory polygraphy (HRP) may be a cost-effective alternative to polysomnography for the diagnosis of sleep apnoea-hypopnoea syndrome (SAHS), but stronger evidence is needed. Normally, patients transport HRP equipment from the hospital to home and back, which may create difficulties for some patients. OBJECTIVES: To determine both the diagnostic efficacy and cost of HRP (with and without a transportation service moving the device and telematic transmission of data) in a large sample compared with in-hospital polysomnography. METHODS: Patients suspected of having SAHS were included in a multicentre study (eight hospitals). They were assigned to home and hospital protocols in random order. Receiver operating characteristic curves were constructed for manual respiratory polygraphy scoring protocol and different polysomnographic cut-off points. Diagnostic efficacies for several polysomnographic cut-off points were explored and costs for two equally effective alternatives were calculated. RESULTS: Of 366 randomised patients, 348 completed the protocol. The best receiver operating characteristic curve was obtained with a polysomnographic cut-off of the apnoea-hypopnoea index (AHI)≥5. The sensitive HRP AHI cut-off point (<5) had a sensitivity of 96%, a specificity of 57% and a negative likelihood ratio (LR) of 0.07; the specific cut-off (>10) had a sensitivity of 87%, a specificity of 86% and a positive LR of 6.25. The cost of HRP was half that of polysomnography. Telematic transmission costs were similar if the patients' costs were taken in to account. CONCLUSION: HRP is an alternative to polysomnography in patients with suspected SAHS. Telematic procedures may help patients with limited mobility and those who live a long way from the sleep centre.

Sleep efficiency during sleep studies: results of a prospective study comparing home-based and in-hospital polysomnography.

To date, the clinical use of unattended home-based polysomnography (PSG) is not recommended. To assess whether sleep efficiency is better at home, we have performed a prospective, crossover, single-blind study comparing unattended home- versus attended in-hospital PSG in a population referred for high clinical suspicion of obstructive sleep apnoea syndrome (OSA). Within 2 weeks, all the patients underwent both PSG performed by the same sleep technician, which were analysed by another blinded technician. Payments for each procedure were also calculated. Sixty-six patients (mean age: 49±13 years; mean body mass index: 30±7; mean Epworth Sleepiness Scale: 10±5) were included. The quality of recordings was poor in 1.5% of the attended PSG versus 4.7% for unattended PSG (P=0.36). Sleep efficiency at home was better (82% versus 75%, P<0.001), and sleep duration longer (412 min versus 365 min, P<0.001). Sleep latency was also shorter at home (28 min versus 45 min, P=0.004), and patients spent more time in rapid eye movement sleep (19% versus 16%, P=0.006). Apnoea-hypopnoea index (23 versus 26, P=0.08) was similar at home and in the sleep lab. Sixty-seven per cent of patients preferred home-based PSG. PSG payment was also lower at home (268 Euros versus 1057 Euros). We conclude that home-based PSG is associated with a better sleep efficiency. It also appears as feasible and reliable in patients with high preclinical suspicion for OSA. It is also more comfortable for the patients whose sleep efficiency is better and allows cost saving related to the absence of hospitalization.

Bedside approach in the diagnosis obstructive sleep apnea using postprandial oximetry testing: A comparative study with polysomnography.

INTRODUCTION: Due to the availability and cost issues in developing countries of polysomnography (PSG), there is a need for outpatient test for an initial assessment of the patients with suspected obstructive sleep apnea (OSA). OBJECTIVES: Epworth sleepiness scale (ESS) is a widely used and best-validated scale for assessing daytime sleepiness, including dozing when sitting quietly after a lunch (no alcohol). This study introduces a novel screen test called postprandial oximetry test (POT) used during daytime. METHODS: This single-center prospective study included 101 patients (80 patients with suspected OSA and 21 patients without OSA suspicion). Berlin Questionnaire was used to determine the score/pretest probability of OSA patients, all chosen randomly. First, all the patients underwent POT in laboratory. Then we performed PSG. After lunch, while sleeping, the patients were monitored for 1 hour with pulse oximetry and standard electroencephalographic system. The oximetry saturation classification events with SpO2 was divided into two groups as normal or mild obstructive sleep apnea syndrome (OSAS), and moderate-to-severe OSAS. Below 90% SpO2 drops in a postprandial oximetry recordings were accepted as moderate-to-severe. RESULTS: The mean lowest oxygen saturation in PSG was 82.34 ± 5.99, while it in POT were 87.42 ± 1.39. A positive correlation was found between POT- and PSG-derived Apnoea-Hypopnoea Index (AHIs). The sensitivity and specificity in postprandial oximetry were 85% and 85.7%, respectively. The accuracy was 0.903 for POT. CONCLUSION: POT may be useful as an outpatient test in the initial assessment of the patients with suspected OSA, serving as a gatekeeper for PSG.

Cost-effectiveness of polysomnography in the management of pediatric obstructive sleep apnea.

OBJECTIVES: At our institution, younger children require polysomnography (PSG) testing to confirm obstructive sleep apnea (OSA hereafter) before surgical intervention by adenotonsillectomy (T&A). Given that sleep studies can be costly, we investigated the cost-effectiveness of PSG as well as the possible role for symptom documentation in evaluation for T&A. METHODS: Pediatric patients age 1-3 years who received PSG testing between Jan. 2015 and Jan. 2016 who had not previously had T&A were identified for retrospective cost analysis. Cost data were obtained from institutional accountants. We defined a positive PSG as obstructive apnea-hypopnea index ≥1. Logistic regression analysis was used, and statistical significance was set a priori at p < 0.05. Sensitivities and specificities of symptom documentation screen for OSA were compared to gold standard, or PSG testing. RESULTS: Of the 176 children who received polysomnography testing, 140 (80%) had a positive PSG indicative of OSA. Seventy-one (51%) children with OSA underwent T&A within 1 year of PSG, and 10 (7%) eventually received T&A after 1 year from PSG date. Of the children whose PSG results were negative (n = 36), 14 (39%) still underwent T&A within 1 year (n = 7, 19%) or later (n = 7, 19%). Children with positive sleep studies were significantly more likely to receive T&A within one year of PSG (p = 0.0006) and at any time after PSG (p = 0.04). Hospital costs for T&A varied widely while PSG costs were fairly consistent. Using average institutional costs of T&A and PSG, the total cost of a T&A was 17.7× the cost of PSG testing. Using number of recorded symptoms to diagnose OSA instead of PSG testing yielded low specificities. CONCLUSION: Fifty-eight percent of patients with OSA and 39% of patients without OSA had a T&A within 1 year or later, although positive PSG was significantly associated with a higher likelihood of receiving T&A. Given costs at this institution and current decision-making practices, 147 PSGs would need to be done to account for the cost of one T&A, which in our cohort would occur after approximately 305 days.

Low socioeconomic status is a risk factor for CPAP acceptance among adult OSAS patients requiring treatment.

STUDY OBJECTIVE: To evaluate whether socioeconomic status (SES) has a role in obstructive sleep apnea syndrome (OSAS) patients' decision to accept continuous positive airway pressure (CPAP) treatment. DESIGN: Cross-sectional study; patients were recruited between March 2007 and December 2007. SETTING: University-affiliated sleep laboratory. PATIENTS: 162 consecutive newly diagnosed (polysomnographically) adult OSAS patients who required CPAP underwent attendant titration and a 2-week adaptation period. RESULTS: 40% (n = 65) of patients who required CPAP therapy accepted this treatment. Patients accepting CPAP were older, had higher apnea-hypopnea index (AHI) and higher income level, and were more likely to sleep in a separate room than patients declining CPAP treatment. More patients who accepted treatment also reported receiving positive information about CPAP treatment from family or friends. Multiple logistic regression (after adjusting for age, body mass index, Epworth Sleepiness Scale, and AHI) revealed that CPAP purchase is determined by: each increased income level category (OR, 95% CI) (2.4; 1.2-4.6), age + 1 year (1.07; 1.01-1.1), AHI ( > or = 35 vs. < 35 events/hr) (4.2, 1.4-12.0), family and/or friends with positive experience of CPAP (2.9, 1.1-7.5), and partner sleeps separately (4.3, 1.4-13.3). CONCLUSIONS: In addition to the already known determinants of CPAP acceptance, patients with low SES are less receptive to CPAP treatment than groups with higher SES. CPAP support and patient education programs should be better tailored for low SES people in order to increase patient treatment initiation and adherence.

Sleep assessment devices: types, market analysis, and a critical view on accuracy and validation.

Introduction: Sleep assessment devices are essential for the detection, diagnosis, and monitoring of sleep disorders. This paper provides a state-of-the-art review and comparison of sleep assessment devices and a market analysis.Areas covered: Hardware devices are classified into contact and contactless devices. For each group, the underlying technologies are presented, paying special attention to their limitations. A systematic literature review has been carried out by comparing the most important validation studies of sleep tracking devices in terms of sensitivity and specificity. A market analysis has also been carried out in order to list the most used, best-selling, and most highly-valued devices. Software apps have also been compared with regards to the market.Expert opinion: Thanks to technological advances, the reliability and accuracy of sensors has been significantly increased in recent years. According to validation studies, some actigraphs present a sensibility higher than 90%. However, the market analysis reveals that many hardware devices have not been validated, and especially software devices should be studied before their clinical use.