scholarly journals New Predictive Equation for Optimal Continuous Positive Airway Pressure in Adult Patients with Obstructive Sleep Apnea

Author(s):  
Kanokkan Pengsakul ◽  
Krongthong Tawaranurak ◽  
Chuanchom Bumrungsena ◽  
Chitladda Chaimongkol ◽  
Jarurin Pitanupong

Objective: This study aimed to develop and validate a new continuous positive airway pressure (CPAP) prediction equation and compare it with other formulas.Material and Methods: We retrospectively included patients with obstructive sleep apnea who underwent a CPAP titration study between January 2012 and December 2016. All clinical and polysomnographic data were collected. The new prediction equation was developed using the first data set, and the predictability performance was validated using the second data set.Results: Among the 266 enrolled patients, 73.7% were male, and the mean body mass index (BMI) was 30.8±7.4 kg/m2 . Five variables, namely age, BMI, neck circumference (NC), apnea–hypopnea index (AHI), and minimum pulse oxygen saturation (Min SpO2 ), highly correlated with the optimal titration pressure, and were therefore included in the equation, as stated below:Predicted pressure (cm H2 O) = 2.26 + (0.02xAge) + (0.04xBMI) + (0.11xNC) + (0.04xAHI) - (0.04xMin SpO2 )This equation accounted for 54.4% of the variance in predicting the optimal titration pressure (R2 =0.544, p-value <0.001). Its optimal estimation was 62.0% in the validated group. The equation-derived predicted pressure correlated with good agreement with the laboratory-derived optimal titration pressure (r=0.70, 95% CI=0.6335–0.755, p-value<0.001) according to Bland–Altman analysis. Conclusion: Our equation is highly consistent with the CPAP titration study in predicting fixed CPAP pressure, and is thereby beneficial for sleep technicians in establishing a starting pressure for such studies at a sleep laboratory.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Narongkorn Saiphoklang ◽  
Kanyada Leelasittikul ◽  
Apiwat Pugongchai

AbstractContinuous positive airway pressure (CPAP) is simple and effective treatment for obstructive sleep apnea (OSA) patients. However, the CPAP prediction equation in each country is different. This study aimed to predict CPAP in Thai patients with OSA. A retrospective study was conducted in Thai patients, who OSA was confirmed by polysomnography and CPAP titration from January 2015 to December 2018. Demographics, body mass index (BMI), neck circumference (NC), Epworth sleepiness scale, apnea–hypopnea index (AHI), respiratory disturbance index (RDI), mean and lowest pulse oxygen saturation (SpO2), and optimal pressure were recorded. A total of 180 subjects were included: 72.8% men, age 48.7 ± 12.7 years, BMI 31.0 ± 6.3 kg/m2, NC 40.7 ± 4.1 cm, AHI 42.5 ± 33.0 per hour, RDI 47.1 ± 32.8 per hour, and lowest SpO2 77.1 ± 11.0%. Multiple linear regression analysis identified NC, BMI, RDI, and lowest SpO2. A final CPAP predictive equation was: optimal CPAP (cmH2O) = 4.614 + (0.173 × NC) + (0.067 × BMI) + (0.030 × RDI) − (0.076 × lowest SpO2). This model accounted for 50.0% of the variance in the optimal pressure (R2 = 0.50). In conclusion, a CPAP prediction equation can be used to explain a moderate proportion of the titrated CPAP in Thai patients with OSA. However, the CPAP predictive equation in each country may be different due to differences of ethnicity and physiology.Trial registration: TCTR20200108003.


2008 ◽  
Vol 15 (7) ◽  
pp. 365-369 ◽  
Author(s):  
Norman Wolkove ◽  
Marc Baltzan ◽  
Hany Kamel ◽  
Richard Dabrusin ◽  
Mark Palayew

BACKGROUND: Continuous positive airway pressure (CPAP) is an effective treatment for obstructive sleep apnea (OSA). However, compliance is a significant problem and has been incompletely assessed in long-term studies.OBJECTIVE: To assess the long-term compliance of OSA patients with CPAP therapy.SUBJECTS: Eighty patients who had had a diagnosis of OSA at least four years previously and received a written prescription for CPAP were evaluated.METHODS: Subjects were identified by reviewing sleep laboratory records. Participants were contacted by telephone and were asked to quantitate their CPAP use (hours per night, nights per week) and to evaluate whether there had been improvement in symptoms. Those who commenced but subsequently abandoned therapy and those who never initiated treatment were questioned about their reasons for noncompliance.RESULTS: Patient demographics included mean (± SD) age (58±11 years), male sex (70 of 80 patients [88%]) and mean apnea-hypopnea index (70±44 events/h). At the time of the interview (64.0±3.7 months after diagnosis), 43 of 80 patients (54%) were still using CPAP and most reported an improvement in symptoms. Twelve of 80 patients (15%) had abandoned CPAP after using it for 10.1±15.5 months, and 25 of 80 patients (31%) had never commenced therapy after initial diagnosis and CPAP titration. Analysis of scores reflecting initial patient sleepiness revealed a significant association of this symptom with subsequent CPAP compliance.CONCLUSION: Although many patients with OSA derive subjective benefit from, and adhere to treatment with CPAP, a significant proportion of those so diagnosed either do not initiate or eventually abandon therapy. Initial experience with CPAP appears to be important, reinforcing the need for early education and support in these patients.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A239-A239
Author(s):  
C Segsarnviriya ◽  
P Mahakit

Abstract Introduction Continuous positive airway pressure (CPAP) for treatment of moderate to severe obstructive sleep apnea can produce troublesome nasal symptoms (i.e. congestion, rhinorrhea, sneezing, itching) that may affect the continuity and decrease the compliance of CPAP. Topical nasal steroids are often prescribed to reduce these side effects, although recent studies are scarce supporting any benefit of this treatment for CPAP-induced nasal side effects. Methods 80 patients who were previously diagnosed with OSA and pretreatment nasal symptoms were enrolled. All of them were selected for CPAP treatment and divided randomly into two groups. The study group was prescribed Fluticasone furoate nasal spray 55 ug daily before bedtime. The patients’ compliance to CPAP was recorded by the memory card in CPAP device. Total nasal symptom score was assessed using a questionnaire by direct interview. The follow-up was performed in 30 and 90 days after treatment. Results The compliance to CPAP (Percent days with usage, Average time usage and Percent of days with usage ≥ 4 hours) increased in both groups with higher significance in topical nasal steroid group (P-value=0.002, 0.001, 0.002) after 90 days of treatment. There was no difference in nasal symptom between both groups after 30 days of treatment. However, addition of topical nasal steroid resulted in decreased rhinorrhea and congestion symptom (P-value &lt;0.001, &lt;0.001) after 90 days of treatment. Conclusion The addition of topical nasal steroid decreased the frequency of nasal symptoms (esp. rhinorrhea and congestion) in OSA patients initiating CPAP therapy and increased the compliance to CPAP after 90 days of treatment. Support Keywords: Obstructive sleep apnea, Continuous positive airway pressure, CPAP, Topical nasal steroid


2019 ◽  
Vol 129 (4) ◽  
pp. 388-393
Author(s):  
Ji Ho Choi ◽  
Jae Yeup Jung ◽  
Ji Eun Moon ◽  
Se-Hwan Hwang

Objectives: Respiratory mechanics instability (RMI) based on paradoxical movement is correlated with respiratory disturbance such as apnea-hypopnea index (AHI) and reflects the severity of obstructive sleep apnea (OSA). The purpose of this study was to identify RMI as a method for assessing the effectiveness of continuous positive airway pressure (CPAP) in the management for OSA. Methods: A total of 71 consecutive OSA patients with CPAP titration were included in this study. We compared sleep (sleep efficiency, arousal index, and sleep stages), respiratory (AHI, oxygen desaturation index ≥3% [ODI3], and lowest oxygen saturation), and RMI parameters (events, index, duration, and % of stage duration) between diagnostic polysomnography and CPAP titration data. Results: All RMI parameters (events [157.5 ± 80.9 vs 80.0 ± 47.1; P < .001], index [25.3 ± 12.4 vs 12.7 ± 7.0; P < .001], duration [182.6 ± 96.2 vs 79.8 ± 88.9; P < .001], and % of stage duration [49.0 ± 24.4 vs 20.5 ± 21.3; P < .001]) were significantly improved by the alleviation of obstructive respiratory disturbance parameters (AHI [45.1 ± 23.0 vs 4.2 ± 4.3; P < .001], ODI3 [44.9 ± 22.6 vs 4.8 ± 4.6; P < .001], and lowest oxygen saturation [77.7 ± 7.3 vs 89.3 ± 3.8; P < .001]) compared to diagnostic polysomnography and CPAP titration data. Conclusion: RMI may be a useful method for evaluating the effect of CPAP in OSA patients.


2019 ◽  
Vol 51 (3) ◽  
pp. 174-179 ◽  
Author(s):  
R. Bart Sangal ◽  
Nimish Sudan

The objective was to test whether there were better outcomes on switching from autotitrating positive airway pressure (APAP) to continuous positive airway pressure (CPAP) in a clinic sample of patients with obstructive sleep apnea (OSA). Patients prescribed APAP in 2015-2016 and belonging to a subset characterized by side effects, or suboptimal response or adherence, were advised a switch to CPAP following a CPAP titration polysomnography. The main analysis was for improvement (after switch from APAP to CPAP) in (1) sleepiness, wakefulness inability, and fatigue, using change from baseline in the Sleepiness–Wakefulness Inability and Fatigue Test (delta SWIFT), and Epworth Sleepiness Scale (delta ESS), and (2) adherence using percentage of days with ≥4-hour use and whether there was ≥4-hour use on ≥70% days. To determine possible predictors for switching, additional analysis was performed for differences at baseline between patients switching and those staying on APAP. A total of 148 patients were switched from APAP to CPAP and had greater improvement in delta SWIFT (5.2 vs 4.1, P = .004), greater improvement in delta ESS (3.6 vs 2.9, P = .011), and better adherence (79.4% vs 74.3%, P = .006) on CPAP than on APAP. More patients were adherent on CPAP than on APAP (83.1% vs 68.9%, P = .006). Patients switching had higher baseline arousal index and stage N1 sleep, and lower nadir oxygen saturation, than 96 patients not switching. Thus, there is a subset of patients with better outcomes after switching to CPAP than on APAP. Patients with baseline lighter sleep (indicated by more arousals and stage N1), or greater desaturation, may be more likely to do better on CPAP than on APAP. CPAP may be the preferable treatment in a significant subset of patients. If APAP is used first anyway, side effects, or suboptimal response or adherence, should lead to consideration of switching to CPAP based on a CPAP titration polysomnography.


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