| Literature DB >> 35941318 |
Pien Fenneke Nicole Bosschieter1, Julia A M Uniken Venema2,3, Patty E Vonk4, Madeline J L Ravesloot5, Joost W Vanhommerig6, A Hoekema2,3, Joanneke M Plooij7, F Lobbezoo2, Nico de Vries5,2,8.
Abstract
PURPOSE: Previous studies have shown a wide range of efficacy (29 to 71%) of a mandibular advancement device (MAD) in the treatment of obstructive sleep apnea (OSA). Currently, the ability to preselect suitable patients for MAD therapy based on individual characteristics related to upper airway collapsibility is limited. We investigated if the use of non-custom interim MAD during drug-induced sleep endoscopy (DISE) could be a valuable screening tool to predict MAD treatment outcome.Entities:
Keywords: Drug-induced sleep endoscopy; Mandibular advancement device; Obstructive sleep apnea; Sleep-disordered breathing; Treatment success
Year: 2022 PMID: 35941318 PMCID: PMC9360646 DOI: 10.1007/s11325-022-02689-w
Source DB: PubMed Journal: Sleep Breath ISSN: 1520-9512 Impact factor: 2.655
Fig. 1The VOTE classification
Patient characteristics
| Total | |
|---|---|
| Number of patients ( | 41 |
| Sex (% female) | 17% |
| Age (years) | 51 [38; 54] |
| BMI (kg/m2) | 26.8 ± 2.8 |
| Pre-treatment AHI (events/h) | 16.0 [7.4; 23.4] |
Data presented as mean ± SD or median [Q1; Q3]
BMI body mass index, AHI apnea–hypopnea index
PSG at baseline versus PSG at 3 months follow-up with MAD in situ
| PSG baseline | PSG follow-up | ||
|---|---|---|---|
| Total AI (events/h) | 5.2 [2.3; 11.1] | 1.2 [0.5; 5.6] | 0.002* |
| Total AHI (events/h) | 16.0 [7.4; 23.4] | 7.8 [3.1; 15.9] | 0.001* |
| Supine AHI (events/h) | 24.9 [10.6; 39.6] | 10.7 [3.9; 23.1] | < 0.001* |
| Non-supine AHI (events/h) | 6.7 [2.4; 15.3] | 4.4 [1.5; 10.7] | 0.162 |
| % of TST in supine position | 39.1 [24.9; 54.4] | 42.8 [27.6–53.4] | 0.401 |
| ODI (3%, events/h) | 17.1 [9.0; 26.8] | 7.0 [2.5; 13.3] | < 0.001* |
| Mean saturation (%) | 95.0 [94.0; 96.0] | 95.0 [93.5; 96] | 0.300 |
| Lowest saturation (%) | 86.0 [82.0; 90.0] | 88.0 [84.5; 90.5] | 0.216 |
Data presented as median [Q1; Q3]
AI apnea-index, AHI apnea–hypopnea index, PSG polysomnography, TST total sleeping time, ODI oxygen degeneration index
*p < 0.05, by Wilcoxon signed-rank test
Predictive value of the MAD and jaw thrust regarding treatment outcome
| Position | Improvement DISE | Responder ( | Non-responder ( | Odds ratio (95% CI) | |
|---|---|---|---|---|---|
| Supine MT | No Partial Complete | 5 (24) 9 (43) 7 (33) | 9 (45) 9 (45) 2 (10) | 1.8 (0.4–7.5) 6.3 (0.9–42.7) | |
| Supine JT | No Partial Complete | 6 (29) 11 (52) 4 (19) | 6 (30) 10 (50) 4 (20) | 1.1 (0.3–4.5) 1.0 (0.2–6.0) | |
| Lateral MT | No Partial Complete | 3 (14) 0 (0) 18 (86) | 3 (15) 4 (20) 13 (65) | - 1.4 (0.2–8.0) | - |
| Lateral JT | No Partial Complete | 2 (10) 3 (14) 16 (76) | 4 (20) 6 (30) 10 (50) | 1.0 (0.1–9.0) 3.2 (0.5–20.8) |
Data are presented as N (%)
MT MyTAP, JT jaw thrust, ref reference
*Overall p value
Predictors known to influence MAD treatment outcome
| Responder ( | Non-responder ( | ||
|---|---|---|---|
| BMI | 26.0 ± 2.6 | 27.6 ± 2.9 | 0.462 |
| AHI > 30 | 3 (14%) | 4 (20%) | 0.697 |
| Age | 41 [38; 53] | 54 [47; 56] | 0.028* |
| CCC | 5 (24%) | 4 (20%) | 0.719 |
Data presented as mean ± SD or median [Q1; Q3]
BMI body mass index, AHI apnea–hypopnea index, CCC complete concentric collapse
*p < 0.05
Potential predictors for dropout
| Complete follow-up | Dropout | ||
|---|---|---|---|
| BMI | 26.8 ± 2.8 | 26.4 ± 3.9 | 0.043* |
| Age | 51 [38; 54] | 54 [38; 61] | 0.215 |
| Pre-treatment AHI (events/h) | 16.0 [7.4; 23.4] | 16.1 [8.6; 19.8] | 0.707 |
Data presented as mean ± SD or median [Q1; Q3]
BMI body mass index, AHI apnea–hypopnea index
*p < 0.05