scholarly journals Correlation Between Oxygen Saturation and Pulse Tracing Patterns on Overnight Oximetry With Normal Desaturation Index Is an Independent Predictor of Obstructive Sleep Apnea

2019 ◽  
Vol 15 (02) ◽  
pp. 195-200 ◽  
Author(s):  
Nura Festic ◽  
Muhammad Zuberi ◽  
Vikas Bansal ◽  
Paul Fredrickson ◽  
Emir Festic
2019 ◽  
Vol 160 (5) ◽  
pp. 928-934
Author(s):  
Ji Ho Choi ◽  
Bora Lee ◽  
Se-Hwan Hwang

Objectives Respiratory mechanic instability (RMI) is derived from analysis of paradoxical thoracoabdominal movements during airway obstruction. This study aimed to evaluate RMI parameters in obstructive sleep apnea (OSA) and the correlation between RMI parameters and other parameters in polysomnography. Study Design Retrospective review. Setting A university hospital. Methods A retrospective chart review was performed, and data from 189 adult patients who underwent an in-laboratory sleep study and were seen in our clinic during the past 8 months. The RMI parameters were measured from thoracoabdominal bands during polysomnography. Results Subjects were divided into 2 groups: control (n = 67, apnea-hypopnea index [AHI] <5) and OSA (n = 122, AHI ≥5). The OSA group was divided into 3 subgroups according to AHI: mild, 5 ≤ AHI < 15; moderate, 15 ≤ AHI < 30; severe, AHI ≥30. As AHI increased, all RMI parameters showed a significant rising pattern and difference between control and subgroups. Arousal index, lowest oxygen saturation, and oxygen desaturation index ≥3% were significantly correlated with all RMI parameters. Based on cutoff values, areas under the curves of the RMI index for predicting mild, moderate, and severe OSA were >0.85. Conclusion All RMI parameters were well related to respiratory parameters of polysomnography, such as arousal index, lowest oxygen saturation, and oxygen desaturation index ≥3%. The areas under the curves of all RMI parameters for predicting OSA and subgroups showed significant diagnostic performance. These parameters may be useful to identify OSA cases from control.


Author(s):  
D. S. Heath ◽  
H. El-Hakim ◽  
Y. Al-Rahji ◽  
E. Eksteen ◽  
T. C. Uwiera ◽  
...  

Abstract Introduction Diagnosis and treatment of obstructive sleep apnea (OSA) in children is often delayed due to the high prevalence and limited physician and sleep testing resources. As a result, children may be referred to multiple specialties, such as pediatric sleep medicine and pediatric otolaryngology, resulting in long waitlists. Method We used data from our pediatric OSA clinic to identify predictors of tonsillectomy and/or adenoidectomy (AT). Before being seen in the clinic, parents completed the Pediatric Sleep Questionnaire (PSQ) and screening questionnaires for restless leg syndrome (RLS), nasal rhinitis, and gastroesophageal reflux disease (GERD). Tonsil size data were obtained from patient charts and graded using the Brodsky-five grade scale. Children completed an overnight oximetry study before being seen in the clinic, and a McGill oximetry score (MOS) was assigned based on the number and depth of oxygen desaturations. Logistic regression, controlling for otolaryngology physician, was used to identify significant predictors of AT. Three triage algorithms were subsequently generated based on the univariate and multivariate results to predict AT. Results From the OSA cohort, there were 469 eligible children (47% female, mean age = 8.19 years, SD = 3.59), with 89% of children reported snoring. Significant predictors of AT in univariate analysis included tonsil size and four PSQ questions, (1) struggles to breathe at night, (2) apneas, (3) daytime mouth breathing, and (4) AM dry mouth. The first triage algorithm, only using the four PSQ questions, had an odds ratio (OR) of 4.02 for predicting AT (sensitivity = 0.28, specificity = 0.91). Using only tonsil size, the second algorithm had an OR to predict AT of 9.11 (sensitivity = 0.72, specificity = 0.78). The third algorithm, where MOS was used to stratify risk for AT among those children with 2+ tonsils, had the same OR, sensitivity, and specificity as the tonsil-only algorithm. Conclusion Tonsil size was the strongest predictor of AT, while oximetry helped stratify individual risk for AT. We recommend that referral letters for snoring children include graded tonsil size to aid in the triage based on our findings. Children with 2+ tonsil sizes should be triaged to otolaryngology, while the remainder should be referred to a pediatric sleep specialist. Graphical abstract


SLEEP ◽  
2006 ◽  
Vol 29 (7) ◽  
pp. 903-908 ◽  
Author(s):  
Thomas J. Nuckton ◽  
David V. Glidden ◽  
Warren S. Browner ◽  
David M. Claman

2020 ◽  
Vol 15 (2) ◽  
pp. 126-128
Author(s):  
V.P. Tyurin ◽  
О.V. Savchuk ◽  
V.V. Proskurnova ◽  
E.A. Dobrikov ◽  
A.M. Kulagina

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 328 ◽  
Author(s):  
Patricia Strutz ◽  
William Tzeng ◽  
Brianna Arrington ◽  
Vanessa Kronzer ◽  
Sherry McKinnon ◽  
...  

Introduction: Postoperative delirium and pain are common complications in adults, and are difficult both to prevent and treat. Obstructive sleep apnea (OSA) is prevalent in surgical patients, and has been suggested to be a risk factor for postoperative delirium and pain. OSA also might impact pain perception, and alter pain medication requirements. This protocol describes an observational study, with the primary aim of testing whether OSA is an independent predictor of postoperative complications, focusing on (i) postoperative incident delirium and (ii) acute postoperative pain severity. We secondarily hypothesize that compliance with prescribed treatment for OSA (typically continuous positive airway pressure or CPAP) might decrease the risk of delirium and the severity of pain. Methods and analysis: We will include data from patients who have been enrolled into three prospective studies: ENGAGES, PODCAST, and SATISFY-SOS. All participants underwent general anesthesia for a non-neurosurgical inpatient operation, and had a postoperative hospital stay of at least one day at Barnes Jewish Hospital in St. Louis, Missouri, from February 2013 to May 2018.  Patients included in this study have been assessed for postoperative delirium and pain severity as part of the parent studies. In the current study, determination of delirium diagnosis will be based on the Confusion Assessment Method, and the Visual Analogue Pain Scale will be used for pain severity. Data on OSA diagnosis, OSA risk and compliance with treatment will be obtained from the preoperative assessment record. Other variables that are candidate risk factors for delirium and pain will also be extracted from this record. We will use logistic regression to test whether OSA independently predicts postoperative delirium and linear regression to assess OSAs relationship to acute pain severity. We will conduct secondary analyses with subgroups to explore whether these relationships are modified by compliance with OSA treatment.


1995 ◽  
Vol 79 (4) ◽  
pp. 1278-1285 ◽  
Author(s):  
C. Cahan ◽  
M. J. Decker ◽  
J. L. Arnold ◽  
E. Goldwasser ◽  
K. P. Strohl

The effect of nasal continuous positive pressure (CPAP) treatment on erythropoietin (EPO) was examined by measuring diurnal serum EPO levels before and twice (over the 3rd day and over 1 day on recall after > or = 1 mo of therapy) after initiation of treatment in 12 obstructive sleep apnea syndrome patients with normal hemoglobin, hematocrit, creatinine, blood urea nitrogen, and albumin levels. Over each study day, oxygen saturation was measured by an ambulatory pulse oximetry system. Patients spent 27 +/- 9% (SE) of time below oxygen saturation of 88% vs. 2.1 +/- 0.6% after initiation of nasal CPAP treatment (P < 0.01). The number of desaturation events per hour of sleep before nasal CPAP treatment was 62 +/- 6 vs. 9 +/- 2 with nasal CPAP (P < 0.01). EPO levels measured by radioimmunoassay were drawn every hour before and at 3 days (n = 9) and before and at recall (n = 0) after initiation of CPAP therapy. The mean serum EPO level was higher before treatment (61 +/- 14 mU/ml) than that at 3 days (38 +/- 10 mU/ml, P < 0.01) or at recall (32 +/- 7 mU/ml, P < 0.01). We conclude that nasal CPAP treatment of sleep-disordered breathing will reduce diurnal levels of EPO.


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