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Pitkänen M, Nath RK, Korkalainen H, Nikkonen S, Mahamid A, Oksenberg A, Duce B, Töyräs J, Kainulainen S, Leppänen T. Respiratory event index underestimates severity of sleep apnea compared to apnea-hypopnea index. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 5:zpad054. [PMID: 38264141 PMCID: PMC10805527 DOI: 10.1093/sleepadvances/zpad054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/11/2023] [Indexed: 01/25/2024]
Abstract
Polygraphy (PG) is often used to diagnose obstructive sleep apnea (OSA). However, it does not use electroencephalography, and therefore cannot estimate sleep time or score arousals and related hypopneas. Consequently, the PG-derived respiratory event index (REI) differs from the polysomnography (PSG)-derived apnea-hypopnea index (AHI). In this study, we comprehensively analyzed the differences between AHI and REI. Conventional AHI and REI were calculated based on total sleep time (TST) and total analyzed time (TAT), respectively, from two different PSG datasets (n = 1561). Moreover, TAT-based AHI (AHITAT) and TST-based REI (REITST) were calculated. These indices were compared keeping AHI as the gold standard. The REI, AHITAT, and REITST were significantly lower than AHI (p < 0.0001, p ≤ 0.002, and p ≤ 0.01, respectively). The total classification accuracy of OSA severity based on REI was 42.1% and 72.8% for two datasets. Based on AHITAT, the accuracies were 68.4% and 85.9%, and based on REITST, they were 65.9% and 88.5% compared to AHI. AHI was most correlated with REITST (r = 0.98 and r = 0.99 for the datasets) and least with REI (r = 0.92 and r = 0.97). Compared to AHI, REI had the largest mean absolute errors (13.9 and 6.7) and REITST the lowest (5.9 and 1.9). REI had the lowest sensitivities (42.1% and 72.8%) and specificities (80.7% and 90.9%) in both datasets. Based on these present results, REI underestimates AHI. Furthermore, these results indicate that arousal-related hypopneas are an important measure for accurately classifying OSA severity.
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Affiliation(s)
- Minna Pitkänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - Rajdeep Kumar Nath
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- VTT Technical Research Centre of Finland Ltd, Kuopio, Finland
| | - Henri Korkalainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Sami Nikkonen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Alaa Mahamid
- Sleep Disorders Unit, Loewenstein Hospital-Rehabilitation Center, Raanana, Israel
| | - Arie Oksenberg
- Sleep Disorders Unit, Loewenstein Hospital-Rehabilitation Center, Raanana, Israel
| | - Brett Duce
- Sleep Disorders Centre, Department of Respiratory and Sleep Medicine, Princess Alexandra Hospital, Brisbane, Australia
- Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Juha Töyräs
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
| | - Samu Kainulainen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Timo Leppänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
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Lachapelle P, Khadadah S, Taseen R, Pamidi S, Kimoff RJ. Scoring heart rate increases as a surrogate arousal marker on portable monitor studies for obstructive sleep apnea: Impact on diagnostic accuracy and clinical decision-making. J Sleep Res 2022; 31:e13594. [PMID: 35439844 DOI: 10.1111/jsr.13594] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 11/27/2022]
Abstract
Cortical arousal-related hypopneas are not scored on type 3 home devices, which therefore limits their diagnostic accuracy for obstructive sleep apnea. The objective of this study was to evaluate whether scoring heart rate accelerations as surrogate markers of arousal improves type 3 portable monitor diagnostic agreement compared with polysomnography and improves therapeutic decision-making. We prospectively recruited patients evaluated for obstructive sleep apnea to undergo in-laboratory simultaneous full polysomnography + type 3 portable monitoring. Hypopnea events were scored on portable monitor studies with and without autonomic scoring, which was defined as an associated increase in pulse oximetry-derived heart rate ≥6 beats per min (autonomic hypopnea). Portable monitor diagnostic agreement compared with polysomnography with and without autonomic hypopnea scoring was assessed. We also evaluated whether reporting autonomic hypopnea scoring improves portable monitor clinical treatment decision agreement after four physicians reviewed clinical data and sleep study results (polysomnography, portable monitor with autonomic hypopnea, portable monitor without autonomic hypopnea). Eighty-two participants completed simultaneous polysomnography and in-laboratory portable monitor studies. Scoring autonomic hypopnea resulted in a decreased mean difference between in-laboratory portable monitor respiratory event index and polysomnography apnea-hypopnea index in Bland-Altman analysis (mean difference 14.6 per hr without versus 6.1 per hr with autonomic hypopnea scoring [p ˂ 0.01]), and increased intraclass correlation from 0.769 to 0.844. Inclusion of autonomic hypopnea scoring resulted in better accuracy between portable monitor and polysomnography expert's treatment decisions, and ultimately resulted in 24% fewer additional polysomnographies requested. The addition of pulse oximetry heart rate increases for autonomic hypopnea scoring during portable monitor resulted in better diagnostic agreement, improved clinical decision-making and reduced additional polysomnography testing.
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Affiliation(s)
- Philippe Lachapelle
- Respiratory Division and Sleep Laboratory, Montreal Chest Institute - McGill University Health Centre, Respiratory Epidemiology Clinical Research Unit and Meakins-Christie Laboratories, McGill University, Montreal, Quebec, Canada.,Pulmonary Division, Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Sulaiman Khadadah
- Respiratory Division and Sleep Laboratory, Montreal Chest Institute - McGill University Health Centre, Respiratory Epidemiology Clinical Research Unit and Meakins-Christie Laboratories, McGill University, Montreal, Quebec, Canada
| | - Ryeyan Taseen
- Pulmonary Division, Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Sushmita Pamidi
- Respiratory Division and Sleep Laboratory, Montreal Chest Institute - McGill University Health Centre, Respiratory Epidemiology Clinical Research Unit and Meakins-Christie Laboratories, McGill University, Montreal, Quebec, Canada
| | - R John Kimoff
- Respiratory Division and Sleep Laboratory, Montreal Chest Institute - McGill University Health Centre, Respiratory Epidemiology Clinical Research Unit and Meakins-Christie Laboratories, McGill University, Montreal, Quebec, Canada
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Towards the endotyping of the sleep-pain interaction: a topical review on multitarget strategies based on phenotypic vulnerabilities and putative pathways. Pain 2021; 162:1281-1288. [PMID: 33105436 DOI: 10.1097/j.pain.0000000000002124] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/20/2020] [Indexed: 12/17/2022]
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Cheung TW, Lam DS, Chan PC, Yau PS, Yeung KW. Comparing respiratory polygraphy with pulse transit time analysis versus overnight polysomnography in the diagnosis of obstructive sleep apnoea in children. Sleep Med 2021; 81:457-462. [PMID: 33865076 DOI: 10.1016/j.sleep.2021.02.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/17/2021] [Accepted: 02/20/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Obstructive sleep apnea syndrome in children is associated with significant morbidity. Polysomnography is the main diagnostic tool but is time consuming and requires skilled manpower to supervise the patient overnight and hence long referral to diagnosis time. However, there are limitations and underestimation of the apnoea hyponea index (AHI) with alternative home sleep apnoea testing (HSAT), such as type 3 respiratory polygraphy (RP). Prior studies have demonstrated pulse transit time (PTT) to be a reliable indicator of cortical arousals. In this study, the use of PTT together with RP will be studied to determine whether the derived AHI is comparable to that of PSG. METHOD Forty-five patients with suspected OSA met the inclusion criteria underwent PSG in the sleep laboratory for analysis. The raw data for either PSG or RP analysis were allocated separately to two different accredited sleep technicians. The primary outcome AHI derived from PTT with RP was compared to the AHI derived from PSG. Secondary outcomes compared were obstructive apnoea index (OAI), total hypopnoea index (THI) and arousal index (AI). Bland Altman analysis was used to compare the agreement of AHI derived from the 2 modalities and demonstrate whether RP is non inferior or equivalent to the gold standard for diagnosing OSAS. RESULTS The patients studied had a median age of 8.8 years (range 3-17 years). The patients were not limited to certain spectrum of severity OSA and had AHI results spread from mild to severe OSA (AHI 0.4/hr to 72.2/hr). The RP with PTT-derived AHI was strongly correlated to the PSG derived AHI as seen on the Spearman plot (r = 0.98). The Bland Altman plot showed no evidence of underestimation of the AHI due to missed arousal related hypopneas. The difference of AHI derived from RP and PSG results were clinically insignificant. The differences between the PSG and RP total hypopnoea index (THI) and arousal index (AI) were also statistically insignificant. CONCLUSION The study shows that RP with PTT can be considered a reliable diagnostic alternative compared with PSG. The role of PTT incorporated with RP was to minimize underestimation of AHI due to missed arousal associated hypopnea events. The results were apparent across mild to severe severity of OSA. There are advantages of RPs particularly in paediatrics. Overall this study offers promising preliminary insights that RP incorporated with PTT can be further explored as an acceptable home diagnostic tool for diagnosing OSA in children.
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Affiliation(s)
- Tammy Wy Cheung
- FHKAM(Paediatrics), Department of Paediatrics, Tuen Mun Hospital, Hong Kong.
| | - David Sy Lam
- FHKAM(Paediatrics), Department of Paediatrics, Tuen Mun Hospital, Hong Kong
| | - P C Chan
- RPSGT, RST, Department of Otolaryngology, Tuen Mun Hospital, Hong Kong
| | - P S Yau
- RPSGT, RST, Department of Otolaryngology, Tuen Mun Hospital, Hong Kong
| | - K W Yeung
- FHKAM(Otolaryngology), Department of Otolaryngology, Tuen Mun Hospital, Hong Kong
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Herrero Babiloni A, Beetz G, Bruneau A, Martel MO, Cistulli PA, Nixdorf DR, Conway JM, Lavigne GJ. Multitargeting the sleep-pain interaction with pharmacological approaches: A narrative review with suggestions on new avenues of investigation. Sleep Med Rev 2021; 59:101459. [PMID: 33601274 DOI: 10.1016/j.smrv.2021.101459] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 12/21/2022]
Abstract
The multimorbidity formed by sleep disturbances and pain conditions is highly prevalent and has a significant impact in global health and in the socioeconomic system. Although different approaches have been directed toward its management, evidence regarding an optimal treatment is lacking, and pharmacological options are often preferred. Health professionals (e.g., pain and sleep clinicians) tend to focus on their respective expertise, targeting a single symptom with a single drug. This may increase polypharmacy and the risk of drug interactions, adverse events, and mortality. Hence, the use of medications that can directly or indirectly improve sleep, pain, and other possible accompanying conditions without exacerbating them becomes especially relevant. The objectives of this comprehensive review are to: a) describe the beneficial or deleterious effects that some commonly used medications to manage pain have on sleep and sleep disorders; and b) describe the beneficial or deleterious effects that frequently prescribed medications for sleep may have on pain. Moreover, medications targeting some specific sleep-pain interactions will be suggested and future directions for improving sleep and alleviating pain of these patients will be provided with clinical and research perspectives.
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Affiliation(s)
- Alberto Herrero Babiloni
- Division of Experimental Medicine, McGill University, Montreal, Québec, Canada; Center for Advanced Research in Sleep Medicine, Research Centre, Hôpital du Sacré-Coeur de Montréal (CIUSSS du Nord de-l'Île-de-Montréal), Québec, Canada; Faculty of Dental Medicine, Université de Montréal, Québec, Canada.
| | - Gabrielle Beetz
- Center for Advanced Research in Sleep Medicine, Research Centre, Hôpital du Sacré-Coeur de Montréal (CIUSSS du Nord de-l'Île-de-Montréal), Québec, Canada
| | - Alice Bruneau
- Division of Experimental Medicine, McGill University, Montreal, Québec, Canada
| | - Marc O Martel
- Division of Experimental Medicine, McGill University, Montreal, Québec, Canada; Faculty of Dentistry & Department of Anesthesia, McGill University, Canada
| | - Peter A Cistulli
- Sleep Research Group, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; Centre for Sleep Health and Research, Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Donald R Nixdorf
- Division of TMD and Orofacial Pain, Department of Diagnostic and Biological Sciences, School of Dentistry, University of Minnesota, Minneapolis, MN, USA; Department of Neurology, Medical School, University of Minnesota, Minneapolis, MN, USA; HealthPartners Institute for Education and Research, Bloomington, MN, USA
| | | | - Gilles J Lavigne
- Division of Experimental Medicine, McGill University, Montreal, Québec, Canada; Center for Advanced Research in Sleep Medicine, Research Centre, Hôpital du Sacré-Coeur de Montréal (CIUSSS du Nord de-l'Île-de-Montréal), Québec, Canada; Faculty of Dental Medicine, Université de Montréal, Québec, Canada
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Mayer P, Herrero Babiloni A, Beetz G, Marshansky S, Kaddaha Z, Rompré PH, Jobin V, Lavigne GJ. The Evaluation of Autonomic Arousals in Scoring Sleep Respiratory Disturbances with Polysomnography and Portable Monitor Devices: A Proof of Concept Study. Nat Sci Sleep 2020; 12:443-451. [PMID: 32765141 PMCID: PMC7371436 DOI: 10.2147/nss.s258276] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/30/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Autonomic arousals can be considered as surrogates of electroencephalography (EEG) arousals when calculating respiratory disturbance index (RDI). The main objective of this proof of concept study was to evaluate the use of heart rate acceleration (HRa) arousals associated with sleep respiratory events in a population undergoing full polysomnography (type 1) and in another undergoing portable monitor study (type 3). Our hypothesis is that when compared to other commonly used indexes, RDI based on HRa will capture more events in both types of recording. MATERIALS AND METHODS A retrospective analysis was performed in two different populations of patients with suspected OSA: a) 72 patients undergoing one night of type 1 recording and b) 79 patients undergoing one night of type 3 recording. Variables for type 1 were 4% oxygen desaturation index (ODI), apnea/hypopnea index (AHI), RDI based on EEG arousals (RDIe), and RDI based on HRa with threshold of 5bpm (RDIa5). For type 3, variables were 4% ODI, AHI, and RDIa5 (it is not possible to calculate RDIe due to the absence of EEG). Calculated data were 1) Mean values for each sleep disturbance index in type 1 and 3 recordings; 2) Frequency of migration from lower to higher OSA severity categories using RDIa5 in comparison to AHI (thresholds: ≥5/h mild, ≥15/h moderate, ≥30/h severe); and 3) Bland-Altman plots to assess agreement between AHI vs RDIe and RDIa5 in type 1 population, and AHI vs RDIa5 in type 3 populations. RESULTS More respiratory disturbance events were captured with RDIa5 index in both type 1 and type 3 recordings when compared to the other indexes. In type 1 recording, when using RDIa5 37% of patients classified as not having OSA with AHI were now identified as having OSA, and a total of 59% migrated to higher severity categories. In type 3 recording, similar results were obtained, as 37% of patients classified as not having OSA with AHI were now identified as having OSA using RDIa5, and a total of 55% patients migrated to higher severity categories. Mean differences for RDIa5 and AHI in type 1 and 3 populations were similar. CONCLUSION The use of autonomic arousals such as HRa can help to detect more respiratory disturbance events when compared to other indexes, being a variable that may help to capture borderline mild cases. This becomes especially relevant in type 3 recordings. Future research is needed to determine its validity, optimization, and its clinical significance.
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Affiliation(s)
- Pierre Mayer
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada
| | - Alberto Herrero Babiloni
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada.,Research Center, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l'île-de-Montréal, Université de Montréal, Montréal, Québec, Canada.,Department of Oral Health, Faculté de Médecine Dentaire, Université de Montréal, Montréal, Québec, Canada.,Division of Experimental Medicine, McGill University, Montréal, Québec, Canada
| | - Gabrielle Beetz
- Research Center, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l'île-de-Montréal, Université de Montréal, Montréal, Québec, Canada
| | - Serguei Marshansky
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada
| | - Zeina Kaddaha
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada
| | - Pierre H Rompré
- Department of Oral Health, Faculté de Médecine Dentaire, Université de Montréal, Montréal, Québec, Canada
| | - Vincent Jobin
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada
| | - Gilles J Lavigne
- Faculté de Médecine, Hôpital Hôtel-Dieu du Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal, Montréal, Québec, Canada.,Research Center, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l'île-de-Montréal, Université de Montréal, Montréal, Québec, Canada.,Department of Oral Health, Faculté de Médecine Dentaire, Université de Montréal, Montréal, Québec, Canada
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