We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Factors Associated with the Underestimation of Manual CPAP Titration Pressure.
- Authors
Chen, Po-Yueh; Viet-Nhi, Nguyen-Kieu; Chen, Yen-Chun; Kao, Yi-Lin; Dang, Luong Huu; Hung, Shih-Han
- Abstract
During the SARS-CoV-2 pandemic, the use of in-laboratory positive airway pressure (PAP) titration studies was not routinely suggested. PAP pressure prediction calculations are emerging as alternative methods for the treatment of these patients. The underestimation of PAP titration pressure usually leads to unsatisfactory results for PAP therapy. This study aimed to evaluate the factors associated with the underestimation of PAP titration pressure when using PAP pressure prediction equations. Estimated PAP pressure formulas based on body mass index (BMI) and apnea-hypopnea index (AHI) were chosen to validate the accuracy of equations in the successful prediction of titration pressure. Among 341 adult patients diagnosed with obstructive sleep apnea (OSA) by overnight polysomnography (PSG) and who received overnight PAP titration in order to select a successful pressure, the mean age of the total subjects was 55.4 years old and 78.9% of patients were male. The average BMI and AHI scores were 27.1 ± 4.8 and 37 ± 21.7, respectively. After multivariate stepwise regression analysis, the odds ratio of participants with a pretitration AHI was 1.017 (95% CI: 1.005–1.030). Only the severity of OSA was significantly different between the underestimated group and the adequately assessed group. In conclusion, a high AHI, but not BMI, is associated with an underestimated CPAP titration pressure in adult patients with OSA.
- Subjects
CONFIDENCE intervals; CONTINUOUS positive airway pressure; POLYSOMNOGRAPHY; RETROSPECTIVE studies; MEDICAL errors; RISK assessment; SLEEP apnea syndromes; DESCRIPTIVE statistics; RESEARCH funding; PREDICTION models; BODY mass index; ODDS ratio; DATA analysis software; RECEIVER operating characteristic curves
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 10, p1436
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11101436