Selective Continuous Positive Airway Pressure Withdrawal With Supplemental Oxygen During Slow-Wave Sleep as a Method of Dissociating Sleep Fragmentation and Intermittent Hypoxemia-Related Sleep Disruption in Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) is considered to impair memory processing and increase the expression of amyloid-β (Aβ) and risk for Alzheimer’s disease (AD). Given the evidence that slow-wave sleep (SWS) is important in both memory and Aβ metabolism, a better understanding of the mechanisms by which OSA impacts memory and risk for AD can stem from evaluating the role of disruption of SWS specifically and, when such disruption occurs through OSA, from evaluating the individual contributions of sleep fragmentation (SF) and intermittent hypoxemia (IH). In this study, we used continuous positive airway pressure (CPAP) withdrawal to recapitulate SWS-specific OSA during polysomnography (PSG), creating conditions of both SF and IH in SWS only. During separate PSGs, we created the conditions of SWS fragmentation but used oxygen to attenuate IH. We studied 24 patients (average age of 55 years, 29% female) with moderate-to-severe OSA [Apnea-Hypopnea Index (AHI); AHI4% > 20/h], who were treated and adherent to CPAP. Participants spent three separate nights in the laboratory under three conditions as follows: (1) consolidated sleep with CPAP held at therapeutic pressure (CPAP); (2) CPAP withdrawn exclusively in SWS (OSA_SWS) breathing room air; and (3) CPAP withdrawn exclusively in SWS with the addition of oxygen during pressure withdrawal (OSA_SWS + O₂). Multiple measures of SF (e.g., arousal index) and IH (e.g., hypoxic burden), during SWS, were compared according to condition. Arousal index in SWS during CPAP withdrawal was significantly greater compared to CPAP but not significantly different with and without oxygen (CPAP = 1.1/h, OSA_SWS + O2 = 10.7/h, OSA_SWS = 10.6/h). However, hypoxic burden during SWS was significantly reduced with oxygen compared to without oxygen [OSA_SWS + O₂ = 23 (%min)/h, OSA_SWS = 37 (%min)/h]. No significant OSA was observed in non-rapid eye movement (REM) stage 1 (NREM 1), non-REM stage 2 (NREM 2), or REM sleep (e.g., non-SWS) in any condition. The SWS-specific CPAP withdrawal induces OSA with SF and IH. The addition of oxygen during CPAP withdrawal results in SF with significantly less severe hypoxemia during the induced respiratory events in SWS. This model of SWS-specific CPAP withdrawal disrupts SWS with a physiologically relevant stimulus and facilitates the differentiation of SF and IH in OSA.

Quantification of airway conductance from noninvasive ventilatory drive in patients with sleep apnea

Upper airway conductance, the ratio of inspiratory airflow to inspiratory effort, quantifies the degree of airway obstruction in hypopneas observed in sleep apnea. We evaluated the ratio of ventilation to noninvasive ventilatory drive as a surrogate of conductance. Furthermore, we developed and tested a refinement of noninvasive drive to incorporate the interactions of inspiratory flow, pressure, and drive to better estimate conductance. Hypopneas were compiled from existing polysomnography studies with esophageal catheterization in 18 patients with known or suspected sleep apnea, totaling 1,517 hypopneas during NREM sleep. For each hypopnea, reference standard conductance was calculated as the ratio of peak inspiratory flow to esophageal pressure change during inspiration. Ventilatory drive was calculated using the algorithm developed by Terrill et al. and then mathematically modified according to the presence or absence of flow limitation to noninvasively estimate esophageal pressure. The ratio of ventilation to ventilatory drive and the ratio of peak inspiratory flow to estimated esophageal pressure were each compared with the reference standard for all hypopneas and for median values from individual patients. Hypopnea ventilation to drive ratios were of limited correlation with the reference standard (R2 = 0.17, individual hypopneas; R2 = 0.03, median patient values). Modification of drive to estimated pressure yielded estimated conductance, which strongly correlated with reference standard conductance (R2 = 0.49, individual hypopneas; R2 = 0.77, median patient values). We conclude that the severity of airway obstruction during hypopneas may be estimated from noninvasive drive by accounting for mechanical effects of flow on pressure. NEW & NOTEWORTHY Classification of hypopneas as obstructive (decreased upper airway conductance) or central (decreased inspiratory flow commensurate with decreased effort) is complicated by the requirement of invasive methods, such as esophageal manometry. Here, we demonstrate that using a few esophageal pressure measurements to account for the interactions between inspiratory flow, pressure, and noninvasive ventilatory drive allows estimation of upper airway conductance. Further studies may use these findings to quantify airway obstruction completely noninvasively.

Endotyping Sleep Apnea One Breath at a Time: An Automated Approach for Separating Obstructive from Central Sleep Disordered Breathing

Rationale

Determining whether an individual has obstructive or central sleep apnea is fundamental to selecting the appropriate treatment.

Objectives

Here we derive an automated breath-by-breath probability of obstruction, as a surrogate of gold-standard upper airway resistance, using hallmarks of upper airway obstruction visible on clinical sleep studies.

Methods

From five nocturnal polysomnography signals (airflow, thoracic and abdominal effort, oxygen saturation, and snore), nine features were extracted and weighted to derive the breath-by-breath probability of obstruction (P_obs). A development and initial test set of 29 subjects (development = 6, test = 23) (New York, NY) and a second test set of 39 subjects (Solingen, Germany), both with esophageal manometry, were used to develop P_obs and validate it against gold-standard upper airway resistance. A separate dataset of 114 subjects with 2 consecutive nocturnal polysomnographies (New York, NY) without esophageal manometry was used to assess the night-to-night variability of P_obs.

Measurements and Main Results

A total of 1,962,229 breaths were analyzed. On a breath-by-breath level, P_obs was strongly correlated with normalized upper airway resistance in both test sets (set 1: cubic adjusted [adj.] R² = 0.87, P < 0.001, area under the receiver operating characteristic curve = 0.74; set 2: cubic adj. R² = 0.83, P < 0.001, area under the receiver operating characteristic curve = 0.7). On a subject level, median P_obs was associated with the median normalized upper airway resistance (set 1: linear adj. R² = 0.59, P < 0.001; set 2: linear adj. R² = 0.45, P < 0.001). Median P_obs exhibited low night-to-night variability [intraclass correlation(2, 1) = 0.93].

Conclusions

Using nearly 2 million breaths from 182 subjects, we show that breath-by-breath probability of obstruction can reliably predict the overall burden of obstructed breaths in individual subjects and can aid in determining the type of sleep apnea.

Interaction between sleep-disordered breathing and apolipoprotein E genotype on cerebrospinal fluid biomarkers for Alzheimer's disease in cognitively normal elderly individuals

Previous studies have suggested a link between sleep disordered breathing (SDB) and dementia risk. In the present study, we analyzed the relationship between SDB severity, cerebrospinal fluid (CSF) Alzheimer's disease-biomarkers, and the ApoE alleles. A total of 95 cognitively normal elderly participants were analyzed for SDB severity, CSF measures of phosphorylated-tau (p-tau), total-tau (t-tau), and amyloid beta 42 (Aβ-42), as well as ApoE allele status. In ApoE3+ subjects, significant differences were found between sleep groups for p-tau (F[df2] = 4.3, p = 0.017), and t-tau (F[df2] = 3.3, p = 0.043). Additionally, among ApoE3+ subjects, the apnea and/or hypopnea with 4% O2-desaturation index was positively correlated with p-tau (r = 0.30, p = 0.023), t-tau (r = 0.31, p = 0.021), and Aβ-42 (r = 0.31, p = 0.021). In ApoE2+ subjects, the apnea and/or hypopnea with 4% O2-desaturation index was correlated with lower levels of CSF Aβ-42 (r = -0.71, p = 0.004), similarly to ApoE4+ subjects where there was also a trend toward lower CSF Aβ-42 levels. Our observations suggest that there is an association between SDB and CSF Alzheimer's disease-biomarkers in cognitively normal elderly individuals. Existing therapies for SDB such as continuous positive airway pressure could delay the onset to mild cognitive impairment or dementia in normal elderly individuals.

Multinight recording and analysis of continuous positive airway pressure airflow in the home for titration and management of sleep disordered breathing

OBJECTIVES

The authors examined magnitude/variability of residual sleep disordered breathing (SDB) at pressures around the therapeutic continuous positive airway pressure (CPAP), and described a multinight approach to CPAP titration/retitration consisting of recording airflow and summarizing SDB over multiple nights at multiple pressures and choosing an optimal pressure from these summarized data.

DESIGN

Prospective, single-center nonblinded study.

PATIENTS

Ten female/18 male patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) (respiratory disturbance index [RDI] 67/h), 17 newly-initiated, 11 chronic CPAP users.

INTERVENTIONS

A custom CPAP device (Fisher & Paykel Healthcare) recording airflow and pre-programmed to vary CPAP between 2-3 cm H2O below and 1-2 cm H2O above prescription pressure as determined by a full laboratory titration.

RESULTS

Airflow and pressure continuously recorded for multiple nights (15.9 ± 5.1 nights) at four to seven different pressures in each patient. SDB events manually scored from the airflow as apnea (airflow reduction > 90%), hypopnea (airflow reduction > 30% lasting 10 to 120 sec with inspira-tory flow limitation [IFL]) and runs of sustained IFL > 2 min identified. RDI = (apnea + hypopnea)/total sleep time calculated for each night and an obstruction index, including sustained IFL, also was calculated. PressureMultinight was obtained for each patient from multiple nights of data using two mathematical techniques. Night-to-night variability of SDB indices was low in some patients and significant in others. PressureMultinight could be determined in 17 of 28 patients and was similar to the in-laboratory pressure.

CONCLUSIONS

This study showed that recording multiple nights of CPAP airflow in the home and analyzing these data for residual SDB provided useful information, including the possibility of determining a therapeutic prescription for fixed CPAP in most patients and identification of others with significant physiologic variability of SDB.

Sleep quality, short-term and long-term CPAP adherence

STUDY OBJECTIVES

Adherence to CPAP therapy is low in patients with obstructive sleep apnea/hypopnea syndrome (OSAHS). The purpose of the present study was to evaluate the utility of measures of sleep architecture and sleep continuity on the CPAP titration study as predictors of both short- and long-term CPAP adherence.

METHODS

93 patients with OSAHS (RDI 42.8 ± 34.3/h) underwent in-laboratory diagnostic polysomnography, CPAP titration, and follow-up polysomnography (NPSG) on CPAP. Adherence to CPAP was objectively monitored. Short-term (ST) CPAP adherence was averaged over 14 days immediately following the titration study. Long-term (LT) CPAP adherence was obtained in 56/93 patients after approximately 2 months of CPAP use. Patients were grouped into CPAP adherence groups for ST (< 2 h, 2-4 h, and > 4 h) and LT adherence (< 4 h, > 4 h). Sleep architecture, sleep disordered breathing (SDB) indices, and daytime outcome variables from the diagnostic and titration NPSGs were compared between CPAP adherence groups.

RESULTS

There was a significant relationship between ST and LT CPAP adherence (r = 0.81, p < 0.001). Neither ST nor LT adherence were related to demographic variables, baseline severity of untreated SDB, sleep architecture, or measures of daytime impairment. Good CPAP adherence groups had significantly lower %N2 and greater %REM on the titration NPSG. A model combining change in sleep efficiency and change in sleep continuity between the diagnostic and titration NPSGs predicted 17% of the variance in LT adherence (p = 0.006).

CONCLUSIONS

These findings demonstrate that characteristics of sleep architecture, even on the titration NPSG, may predict some of the variance in CPAP adherence. Better sleep quality on the titration night was related to better CPAP adherence, suggesting that interventions to improve sleep on/prior to the CPAP titration study might be used as a therapeutic intervention to improve CPAP adherence.

Relative prolongation of inspiratory time predicts high versus low resistance categorization of hypopneas

STUDY OBJECTIVES

Sleep disordered breathing events conceptually separate into "obstructive" and "central" events. Esophageal manometry is the definitive but invasive means of classifying hypopneas. The purpose of this project was to identify noninvasive markers for discriminating high vs. low resistance hypopneas.

METHODS

Forty subjects with obstructive or central sleep apnea underwent diagnostic polysomnography with nasal cannula airflow and esophageal manometry; 200% resistance relative to reference breaths was used to define "high" resistance. Noninvasive parameters from 292 randomly selected hypopneas in 20 subjects were analyzed and correlated to resistance. The best parameter and cutoff for predicting high relative resistance was determined and tested prospectively in 2 test sets in the 20 remaining subjects. Test Set A: 15 randomly selected hypopneas in each subject; Test Set B: all hypopneas in 7 subjects.

RESULTS

In the development set, prolongation of inspiratory time during the 2 smallest breaths of a hypopnea (T(i)) relative to baseline had the best correlation to high relative resistance. In the Test Set A, relative T(i) > 110% classified obstructive events with sensitivity = 72%, specificity = 77%, PPV = 64%, NPV = 83%. Similar numbers were obtained for classification of hypopneas based on presence of flow limitation (FL) alone. When either relative T(i) or presence of FL were used to define high resistance, sensitivity = 84%, specificity = 74%, PPV = 65%, NPV = 89%. Similar results were obtained for Test Set B.

CONCLUSIONS

Relative prolongation of T(i) is a good noninvasive predictor of high/low resistance in a dataset with both FL and NFL hypopneas. Combination of FL and relative T(i) improves this classification. The use of T(i) to separate obstructive and central hypopneas needs to be further tested for clinical utility (outcomes and treatment effects).

Impact of clinical assessment on use of data from unattended limited monitoring as opposed to full-in lab PSG in sleep disordered breathing

STUDY OBJECTIVES

We examined agreement among multiple sleep clinicians when presented with clinical data plus the full tracings and data obtained from unattended limited monitoring (ULM) or a full polysomnography (PSG).

METHODS

Subjects included 66 patients with complaints of sleep disordered breathing (SDB) and 19 volunteers willing to undergo 2 nights of ULM followed by PSG. Two assessment packages were created for each subject with identical clinical history (Hx) and ARES Symptom Questionnaire, plus the electronic record of signals collected on the ARES Unicorder (Hx+ULM) or on the PSG (Hx+PSG). Data were presented to 4 sleep-trained clinicians for diagnosis and treatment recommendation. For agreement on diagnosis and treatment, comparisons were made between clinicians using ULM or PSG, and within clinicians comparing both techniques.

RESULTS

For diagnosis, agreement between pairs of clinicians using Hx+PSG ranged from 74% to 86% and 66% to 85% when using Hx+ULM. For treatment, agreement using Hx+PSG ranged from 74% to 86% and 58% to 77% when using Hx+ULM. Agreement between clinicians was highest in the subjects with the highest RDI and fell off markedly at the lowest RDI, irrespective of whether the clinicians used the Hx+PSG or Hx+ULM. This pattern was also seen for the decisions made by an individual clinician using Hx+ULM vs. Hx+PSG.

CONCLUSION

Our data show that sleep clinicians have significant disagreements for diagnosis even when presented with the "gold standard" of a PSG and clinical data. Agreement was high when the SDB index was elevated and lower when the SDB index was in the mild-to-moderate range, regardless of the technique used to obtain it.

Quantification of single-breath underestimation of lung volume in emphysema

The extent to which a single breath measurement represents available gas dilutional as well as compressible thoracic volume in emphysema patients has not been quantified. We therefore measured single breath (TLCSB) and rebreathe helium dilution (TLCRB), and plethysmographic lung volume (TLCpleth), in fifty-five outpatients with clinical and radiographic emphysema, and in twenty-one normal controls. Among emphysema patients, TLCSB increasingly underestimated both TLCpleth and TLCRB as FEV1% predicted decreased (p for interaction=0.001 for both) by a mean of 1.7 l for TLCRB (p<0.001) and 2.2l for TLCpleth (p<0.001). In contrast, TLCRB underestimated TLCpleth by a mean of 0.5l (p<0.001) regardless of FEV1% (p for interaction=0.25). TLCSB, TLCRB, and TLCpleth showed strong agreement among normal subjects. We conclude that TLCSB underestimates available gas dilutional and compressible lung volume as physiologic emphysema severity increases. In contrast, TLCRB and TLCpleth show closer agreement which is unaffected by physiologic emphysema severity.

Wilms' tumor 1 susceptibility (WT1) gene products are selectively expressed in malignant mesothelioma

The distinction between malignant mesothelioma and other neoplastic processes involving the pleura is difficult, partly due to the lack of specific markers expressed on mesothelioma. Because of evidence suggesting that the Wilms' tumor susceptibility gene (WT1), unlike other tumor suppressor genes, is restricted mostly to mesenchymally derived tissues, we hypothesized that the WT1 gene products could serve as a potential marker for mesothelioma. The expression of WT1 mRNA was analyzed in 19 malignant mesothelioma cell lines and 9 tumors and compared with the expression of WT1 in 10 non-small cell lung cancer lines and 9 lung cancer specimens. WT1 mRNA was detectable by Northern analysis in 16 of 19 mesothelioma cell lines and in 5 of 8 malignant mesothelioma tumors. In contrast, WT1 mRNA was not detected by Northern analysis in non-small cell lung cancer lines or carcinomas. Immunoprecipitation with an anti-WT1 monoclonal antibody showed that a 52- to 54-kd protein was present in 4 mesothelioma cell lines. Immunostaining with this antibody localized the WT1 protein to the nucleus in two mesothelioma lines and in 20 of 21 mesothelioma tumors examined. This distinctive pattern of nuclear immunoreactivity was absent in 26 non-mesothelioma tumors involving the lung, including 20 non-small cell lung carcinomas. The detection of WT1 mRNA or protein may thus provide a specific molecular or immunohistochemical marker for differentiation of mesothelioma from other pleural tumors, in particular, adenocarcinoma.