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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: Anesth Analg. 2020 Oct;131(4):1032–1041. doi: 10.1213/ANE.0000000000005005

Postoperative Critical Events Associated with Obstructive Sleep Apnea: Results from the Society of Anesthesia and Sleep Medicine (SASM) OSA Registry

Norman Bolden 1, Karen L Posner 2, Karen B Domino 2, Dennis Auckley 3, Jonathan L Benumof 4, Seth T Herway 5, David Hillman 6, Shawn L Mincer 2, Frank Overdyk 7, David J Samuels 8, Lindsay L Warner 9, Toby N Weingarten 9, Frances Chung 10
PMCID: PMC7659468  NIHMSID: NIHMS1638200  PMID: 32925320

Abstract

Background:

Obstructive sleep apnea (OSA) patients are at increased risk for pulmonary and cardiovascular complications; perioperative mortality risk is unclear. This report analyzes cases submitted to the OSA Death and Near Miss Registry, focusing on factors associated with poor outcomes after an OSA-related event. We hypothesized that more severe outcomes would be associated with OSA severity, less intense monitoring, and higher cumulative opioid doses.

Methods:

Inclusion criteria were age ≥18 years; OSA diagnosed or suspected; event related to OSA; and event occurrence >1992 and <30 days postoperatively. Factors associated with death or brain damage vs. other critical events were analyzed by tests of association and odds ratios [95% confidence intervals].

Results:

Sixty-six cases met inclusion criteria, with known OSA diagnosed in 55 (83%). Patients were middle-aged (mean 53, SD 15 years), ASA 3 (59%, n=38), obese (mean BMI 38, SD 9 kg/m2); most had inpatient (80%, n=51), elective (90%, n=56) procedures with general anesthesia (88%, n=58).

Most events occurred on the ward (56%, n=37), 14 (21%) occurred at home. Most events (76%, n=50) occurred within 24 hours of anesthesia end. Ninety-seven percent (n=64) received opioids within the 24 hours prior to the event and two thirds (41/62) also received sedatives. Positive airway pressure devices and/or supplemental oxygen were in use at the time of critical events in 7.5% and 52% of cases, respectively.

Sixty-five percent (n=43) of patients died or had brain damage; 35% (n=23) experienced other critical events. Continuous central respiratory monitoring was in use for 3/43 (7%) of cases where death or brain damage resulted. Death or brain damage was (a) less common when the event was witnessed than unwitnessed (OR 0.036 [0.007–0.181] p<0.001); (b) less common with supplemental oxygen in place (OR 0.227 [0.070–0.740] p=0.011); (c) less common with respiratory monitoring vs. no monitoring (OR 0.109 [0.031–0.384] p<0.001); and (d) more common in patients who received both opioids and sedatives than opioids alone (OR 4.133 [1.348–12.672] p=0.011). No evidence for an association was observed between outcomes and OSA severity or cumulative opioid dose.

Conclusions:

Death and brain damage were more likely to occur with unwitnessed events, no supplemental oxygen, lack of respiratory monitoring, and with co-administration of opioids and sedatives. It is important that efforts be directed at providing more effective monitoring for OSA patients following surgery, and clinicians consider the potentially dangerous effects of opioids and sedatives, especially when combined, when managing OSA patients postoperatively.

Introduction

Obstructive sleep apnea (OSA) is a sleep disorder that is estimated to affect 26% of the adult population in the United States (ages 30–70) with 13% of men and 6% of women having OSA of a moderate to severe degree.1 The majority of patients with clinical OSA are currently undiagnosed.2 Various studies have found that patients with OSA are at increased risk for pulmonary and cardiovascular complications following surgery.35 Additionally, there have been very concerning reports of unexpected deaths and anoxic brain injuries in patients with OSA receiving opioids in the postoperative period.611

The Society of Anesthesia and Sleep Medicine (SASM) appointed a committee (The OSA Death and Near Miss Registry Committee) to collate and critically review reports of cases where patients were found “dead in bed” following surgery. With OSA-related critical events at any single institution being relatively rare, it was believed that creating a database of OSA critical events would facilitate a more meaningful root cause analysis of OSA critical events. The SASM committee partnered with the Anesthesia Closed Claims Project and its Registries (CCP), affiliated with the Anesthesia Quality Institute of the American Society of Anesthesiologists (ASA), to create an international registry of unexpected critical events occurring in patients with OSA. The goals of this “OSA Death and Near Miss Registry” were to provide a better understanding of why adverse events occurred, identify the level of monitoring in use when deaths or “other critical events” occurred, determine areas where interventions could potentially limit the events, and to provide insight regarding how best to construct future studies to elucidate best practices for perioperative care of OSA patients. This report provides a comprehensive analysis of 66 cases submitted to the OSA Death and Near Miss Registry, with a focus on factors associated with poor outcomes after an OSA-related event. It was our hypothesis that more severe outcomes would be associated with OSA severity, less intense monitoring, and higher cumulative dose of opioids.

Methods

This study was approved by the University of Washington Human Subjects Committee (Applications #47317 and 43939), which waived the requirement for written informed consent. This manuscript adheres to the CONSORT Standards for Reporting, adhering to the Strobe checklist for observational studies (Version 4).12 The project was initiated by the SASM Death and Near Miss Registry (OSA Registry) Committee, which developed the case report form. Case report forms were publicly available on the CCP website from 2014 to 2016, and cases were solicited through newsletter articles1317 and public presentations. Cases were also collected via the CCP. Full details on case solicitation and other methods are included in Supplemental Digital Content File 1. Cases were collected without patient, physician, or hospital identifiers. Case submission was permanently closed at the end of 2016.

There were three sets of Registry case submission criteria related to patients, events, and outcomes. Patient Inclusion criteria were age ≥18 years at the time of the event and diagnosed or screened as high risk of OSA. Inclusion criteria for events were occurrence in 1993 or later, within 30 days of surgery, and deemed to be related to OSA. Outcome inclusion criteria were unanticipated death, brain damage diagnosed by a neurologist, or other critical events (e.g. urgent or emergent transfer to an intensive care unit (ICU), respiratory arrest, Code Blue or Advanced Cardiac Life Support protocol) that occurred within 30 days of surgery and was determined to be related to OSA. Cases were required to meet all patient, event, and outcome criteria for inclusion in the Registry. There were no exclusion criteria. The current analysis includes events that occurred during recovery from anesthesia (after end of anesthesia care) or later. Events that occurred during emergence from general anesthesia before transfer of the patient to recovery (n=6) or during sedation or monitored anesthesia care (n= 3) were not included. A copy of the case report packet is included as supplemental digital content (Supplemental Digital Content File 2).

Definition of variables

The primary outcomes were defined prior to data analysis as 1) death or brain damage vs. 2) other critical events (Code Blue, respiratory arrest, urgent transfer to ICU). OSA diagnosis was defined as diagnosis by polysomnogram. High risk of OSA was defined as results from screening tools such as STOP, STOP-Bang, or Berlin Questionnaire,18,19 or identification as high risk of OSA from patient history. Mild OSA was defined as Apnea-Hypopnea Index (AHI) 5 - <15, moderate OSA as AHI 15 – 30, and severe OSA as AHI >30 events per hour.20 Comorbidities were grouped as cardiovascular, pulmonary, or other (see Supplemental Digital Content File 1 for full list of comorbidities). Cardiovascular and pulmonary comorbidities were combined for analysis.

Opioids taken by the patient or administered within 24 hours of the event were calculated in oral morphine milligram equivalents (MME).2124 For cases with missing data, a range was calculated based on available data, infusion settings and timing. Total MME for each case was recorded as known values if all opioid administrations were reported and ranges when data was partially unknown. Ranges were converted to estimates using three methods: 1) minimum using the lowest estimated MME; 2) maximum using highest estimated MME; and 3) average using the arithmetic mean of estimated MME values.

Non-opioids with the potential to suppress ventilatory drive (referred to as “sedatives”) were tabulated by drug class: benzodiazepines, antihistamines, other drugs with sedating properties (including non-benzodiazepine sedatives; pain adjuvants; anticonvulsants; adrenergic drugs; dopamine and serotonin receptor antagonists; and other anti-nausea drugs), and non-opioid pain medications. Inhalational anesthetics, propofol and nitrous oxide administered during the procedure were not included. Alcohol and marijuana use were also tabulated. Only drugs within 24 hours of the event were included.

An event was classified as monitored if any intermittent or continuous respiratory monitoring (pulse oximetry, chest impedance, and/or end tidal carbon dioxide) was reported as in place at the time of the event. The OSA-related event was classified as witnessed if this was explicitly reported on the case report form. In the case of missing data, cases with an outcome of urgent or emergent transfer to an ICU after naloxone administration in the absence of respiratory arrest were classified as witnessed.

OSA Event Contribution Assessment

All cases were adjudicated by three of the physician-authors (NB, FC, KD) for inclusion criteria. Each of these authors independently assessed the contribution of OSA to the event using “more likely than not (>50:50 but close call)” as the criterion for inclusion. Agreement by two of the three authors was required for classification.

Statistical analysis

Factors associated with outcomes were compared by chi square, Fisher’s exact test (for 2×2 tables or larger tables with expected cell counts <5 for 25% or more cells), two-sample unpaired t-test, and Mann Whitney U-test (for variables with non-normal distributions) with p<0.05 the criterion for statistical significance. For tables greater than 2×2 but expected cell counts of <5 in >25% of cells, Fisher’s exact test with Monte Carlo significance was calculated based on 10,000 randomly sampled tables. Odds ratios and their 95% confidence intervals were calculated by logistic regression. All statistical analysis employed IBM SPSS Statistics 26 (International Business Machines Corporation, Armonk, New York). The sample size was based on available data; no a priori power analysis was conducted.

Results

Seventy-seven case reports were evaluated by the authors. Two cases were not included in the final analysis based on author assessment and 100% agreement that OSA was non-contributory (Figure 1). Nine cases were not included in the analysis because the event occurred prior to end of anesthesia time, leaving 66 cases with OSA-related postoperative events for analysis (Figure 1). Event dates for the final 66 cases ranged from 1997–2016, with 77% (n=51) reported from 2005–2016.

Figure 1:

Figure 1:

Among the 77 cases submitted to the OSA Death and Near Miss Registry, 66 cases with OSA related postoperative events were included in the final analysis. OSA – Obstructive sleep apnea

Patient and case characteristics are summarized in Table 1. Most of the procedures were conducted under general anesthesia or combined general plus regional anesthesia (94%). Most patients (n=55, 83%) had a diagnosis of OSA, with the remainder having been screened as high risk for OSA. Of those with a diagnosis, sleep study results were available in 37 patients: 24 met criteria for severe OSA, six moderate, and seven mild OSA (Table 1). Continuous Positive Airway Pressure (CPAP) had been prescribed for 37 patients, with 15 using it as prescribed most of the time, two sometimes, nine rarely or not at all and 11 unknown (Supplemental Digital Content File 3, Table 1). Only one patient had been prescribed Bilevel Positive Airway Pressure (BPAP, usage unknown). Two patients had home oxygen therapy prescribed; and no patients had been prescribed oral appliance devices.

Table 1:

Patient and Case Characteristics

Characteristic Descriptive Statistics
Sex: male 43 (65%)
Age: years: mean (SD) [range]: 53 (15) [27–88]
BMI (kg/m2): mean (SD) [Interquartile range] 38 (9) [32–44]
ASA Physical Status (n=64):
1–2
3
4
22 (34%)
38 (59%)
4 (6%)
OSA severity (n=37) Mild 7 (19%)
Moderate 6 (16%)
Severe 24 (65%)
Comorbidities: Any cardiovascular: 34 (52%)
Hypertension 25 (38%)
Coronary artery disease 15 (23%)
Congestive heart failure 3 (5%)
Other cardiovascular disease 5 (8%)
Any pulmonary: 17 (26%)
COPD/asthma 14 (21%)
Airway disease 2 (3%)
Current smoker 1 (2%)
Other severe pulmonary disease 2 (3%)
Other comorbidities:
Diabetes mellitus 21 (32%)
Renal disease 6 (9%)
Cerebrovascular disease 4 (6%)
Peripheral vascular disease 4 (6%)
Substance abusea 3 (5%)
Anesthetic technique: General anesthesia 58 (88%)
General plus regional anesthesia 4 (6%)
Sedation or monitored anesthesia care 4 (6%)
Schedule type: Elective (n=62) 56 (90%)
Inpatient (n=64) 51 (80%)
Surgical procedure: General surgery 19 (29%)
Orthopedic 16 (24%)
Ear, nose, throat 8 (12%)
Gynecologic 5 (8%)
Urology 5 (8%)
Spine 4 (6%)
Thoracic 3 (5%)
Endoscopy 2 (3%)
Interventional radiology 2 (3%)
Dental extractions 1 (2%)
Unknown 1 (2%)

Descriptive statistics= Number and column % unless otherwise stated. Statistics based on n=66 cases unless otherwise indicated. Cases with missing data excluded from calculation of statistics. Percentages may sum to > or < 100% due to rounding.

ASA = American Society of Anesthesiologists; BMI = body mass index; COPD= chronic obstructive pulmonary disease; OSA = Obstructive sleep apnea; SD= standard deviation.

a

Alcohol, marijuana, and prescription narcotics (one case each)

Listed pulmonary and cardiovascular comorbidities may sum to larger than total due to multiple comorbidities in some cases. Other comorbidity total not tabulated; only comorbidities with frequency of 3 or greater listed.

Location and timing of events are shown in Figure 2. Fifty-six percent (n=37) of events occurred on the hospital ward and 21% (n=14) occurred at home after discharge. Most events in each location occurred within 24 hours of the end of anesthesia time (Figure 2).

Figure 2:

Figure 2:

Greater than half of the events occurred on the ward. Most events occurred within 24 hours of anesthesia end time. Cases with missing data on exact time of event (n=3: n=1 ward and n=2 home events) were excluded from timing statistics. ICU=intensive care unit, PACU= post anesthesia recovery unit; hrs=hours; SD=standard deviation.

Of the 14 events that occurred at home, half (n=7, 50%) occurred within 24 hours of procedure end. These patients were ASA physical status 3 (n=6) or 4 (n=7). They had all received opioids within 24 hours of the event, with eight having complete opioid data indicating median MME 64 (Interquartile Range (IQR) 18–117). Estimated median MME in 12 of these 14 patients was 60 (IQR 11–109) minimum, average 60 (SD 15–113) and maximum 60 (IQR 19–117). The event was witnessed in four cases, and death or severe brain damage occurred in 12. One of the two cases with no injury was witnessed, the other not.

Table 2 shows event details by location. Monitoring differed by location, with all patients in the PACU and most (88%) in the step-down or ICU being monitored, compared to only 57% on the ward and none at home (p<0.001, Table 2). Monitoring consisted of intermittent or continuous pulse oximetry; there were no reports of chest impedance or end tidal carbon dioxide monitoring. Nearly all PACU or ICU/step-down unit events were witnessed, with most ward or at-home cases not witnessed (p=0.006, Table 2).

Table 2:

Event Details by Location

All Cases N=66 PACU N=6 Step Down/ICU N=9 Ward N=37 Home N=14 P-value
Respiratory monitoring in place? (n=64) <0.001
 Yes 33 (52%) 5 (100%) 7 (88%) 21 (57%) 0 (0%)
 No 31 (48%) 0 (0%) 1 (13%) 16 (43%) 14 (100%)
Type of monitoring (n=64) <0.001
 None 31 (48%) 0 (0%) 1 (13%) 16 (43%) 14 (100%)
 Intermittent (spot) SpO2 13 (20%) 0 (0%) 0 (0%) 13 (35%) 0 (0%)
 Continuous SpO2-no central monitoring 9 (14%) 2 (40%) 1 (13%) 6 (16%) 0 (0%)
 Continuous SpO2 with central monitoring 11 (17%) 3 (60%) 6 (75%) 2 (5%) 0 (0%)
Event witnessed (n=64) =0.016
 Yes 30 (47%) 5 (83%) 6 (86%) 15 (41%) 4 (29%)
 No 34 (53%) 1 (17%) 1 (14%) 22 (59%) 10 (71%)

N=66 cases unless otherwise specified. Percentages are based on column totals; cases with missing data excluded. Percentages may sum to < or > 100% due to rounding.

Respiratory monitoring included intermittent pulse oximetry, continuous pulse oximetry with or without central monitoring, and continuous pulse oximetry with central monitoring. No cases reported chest impedance or end tidal carbon dioxide monitoring.

SpO2 = pulse oximetry monitoring; PACU= post anesthesia care unit/recovery room; ICU = intensive care unit

p-value by Fishers exact test with Monte Carlo significance based on 10,000 randomly sampled tables. P-values are reported to three decimals; p-values < 0.001 are reported as p<0.001.

Half (52%, n= 34) of the patients were receiving supplemental oxygen at the time of the event. Five patients (7.5%) had a positive airway pressure device (PAP) at the time of the event (4 CPAP, 1 BPAP), with three of these also receiving supplemental oxygen. Events that occurred in the presence of PAP took place on the ward (n=4, CPAP) and ICU (n=1, BPAP). Two patients with PAP but without respiratory monitoring died; the remaining three patients with PAP plus respiratory monitoring sustained respiratory arrest but recovered without brain injury.

Ninety-seven percent (n=64) received opioids within 24 hours prior to the event; only one received no opioids (one unknown). The amount of opioids was reported for 36 patients; another 27 had information to estimate a range but not a definitive MME. Among the 36 patients with full opioid data, the amount administered within 24 hours of the event ranged from 0 to 423 MME (median 122, IQR 72–191 mg). Adding data from those with estimated MME, the amount was similar using the minimum estimate (median 126, IQR 66–198 mg), and slightly higher using the average estimate (median 135, IQR 86–218) or the maximum estimate (median 147, IQR 90–218 mg).

Sedative medications were co-administered with opioids in 41 patients (62%). One patient used marijuana (plus a benzodiazepine not provided as a discharge prescription) within 24 hours of the event.

Outcomes

Sixty-five percent (43/66) of patients died or had brain damage; the remaining 35% (23/66) experienced other critical events. Tables 34 (and Supplemental Digital Content File 3, Table 2) show associations between patient and case factors with outcomes. Outcomes were associated with whether the event was witnessed or not, supplemental oxygen use, and respiratory monitoring. Death or brain damage was less common when the event was witnessed (37%, Odds Ratio (OR) 0.036 [0.007–0.181]) than not witnessed (94%, p<0.001, Table 3). Death or brain damage was less common when patients were receiving supplemental oxygen (OR 0.227 [0.070–0.740]) than when not (p=0.011, Table 4). Death or brain damage was also less common in patients with respiratory monitoring (OR 0.109 [0.031–0.384], p <0.001, Table 4). Among 43 cases with death or brain damage, there were 14 cases with respiratory monitoring in place at the time of the event; three (7%) had continuous central monitoring (Table 4). Two patients wearing PAP on the wards (unwitnessed) suffered death/brain damage.

Table 3:

Association Between Patient and Case Factors with Outcomes

Death or Brain Damage (N = 43) n (row %) Other Critical Events (N = 23) n (row %) Odds Ratio (95% CI) P-value
OSA severity (n=37) =0.259a
 Mild 3 (43%) 4 (57%) Reference
 Moderate 4 (67%) 2 (33%) 2.667 (0.277– 25.636)
 Severe 18 (75%) 6 (25%) 4.000 (0.689– 23.229)
Event location =0.060a
 Ward (n=37) 25 (68%) 12 (32%) Reference
 PACU (n=6) 3 (50%) 3 (50%) 0.480 (0.084–2.740)
 Step down or ICU (n=9) 3 (33%) 6 (67%) 0.240 (0.051–1.128)
 Home (n=14) 12 (86%) 2 (14%) 2.880 (0.554–14.960)
Event witnessed <0.001
 Witnessed (n=30) 11 (37%) 19 (63%) 0.036 (0.007–0.181)
 Not witnessed (n=34) 32 (94%) 2 (6%) Reference

N=66 unless otherwise specified. Percentages based on row totals. Cases with missing data excluded. Odds ratio for death or brain damage compared to other critical events (reference).

CI = confidence interval; ICU= intensive care unit; OSA = obstructive sleep apnea; PACU= post anesthesia care unit/recovery room; Mild OSA = Apnea-Hypopnea Index 5- <15; Moderate-Severe = Apnea-hypopnea index ≥ 15.

a

Fisher’s exact test with Monte Carlo significance due to cells with <5 expected counts; all other tests of differences in proportions by chi square test. P-values are reported to three decimals; p-values < 0.001 are reported as p<0.001.

Table 4:

Association Between Supplemental Oxygen, Monitoring, Opioid Dose, and Opioids with or without Sedatives with Outcomes

Death or Brain Damage (N = 43) n (row %) Other Critical Events (N = 23) n (row %) Odds Ratio (95% CI) P-value
Supplemental oxygen (n=61) =0.011
 Yes (n=34) 17 (50%) 17 (50%) 0.227 (0.070–0.740)
 No (n=27) 22 (81%) 5 (19%) Reference
Any respiratory monitoring in place (n=64) <0.001
 Yes (n=33) 14 (42%) 19 (58%) 0.109 (0.031–0.384)
 No (n=31) 27 (87%) 4 (13%) Reference
Type of respiratory monitoring (n=64) <0.001a
 None (n=31) 27 (87%) 4 (13%) Reference
 Intermittent (spot) SpO2 (n=13) 4 (31%) 9 (69%) 0.066 (0.014–0.319)
 Continuous SpO2 - no central monitoring (n=9) 7 (78%) 2 (22%) 0.519 (0.078–3.432)
 Continuous SpO2 with central monitoring (n=11) 3 (27%) 8 (73%) 0.056 (0.010–0.302)
Opioids vs Opioids + Sedatives (n=62) =0.011
 Opioids + Sedatives (n=41) 31 (76%) 10 (24%) 4.133 (1.348–12.672)
 Opioids only (n=21) 9 (43%) 12 (57%) Reference
MME within 24 hours of event Median (IQR) Median (IQR) Odds Ratio (95% CI)b P-valuec
 MME (n=36) 120 (60–190) 145 (86–272) 0.965 (0.906–1.029) =0.548
 MME minimum (n=63) 120 (60–195) 146 (87–272) 0.967 (0.924–1.013) =0.231
 MME average (n=63) 126 (68–198) 149 (95–276) 0.965 (0.920–1.011) =0.175
 MME maximum (n=63) 134 (90–198) 150 (95–327) 0.971 (0.931–1.013) =0.341

N=66 unless otherwise specified. Percentages based on row totals. Cases with missing data excluded. Odds ratio for death or brain damage compared to other critical events (reference).

Respiratory monitoring included intermittent pulse oximetry, continuous pulse oximetry with or without central monitoring, and continuous pulse oximetry with central monitoring.

Sedatives = non-opioids with potential to suppress ventilatory drive (included benzodiazepines, antihistamines, other drugs with sedating properties (including non-benzodiazepine sedatives; pain adjuvants; anticonvulsants; adrenergic drugs; dopamine and serotonin receptor antagonists; and other anti-nausea drugs), and non-opioid pain medications.

MME for each case was recorded as known values if all opioid administrations were reported. For cases with some MME data missing, MME minimum was estimated using the lowest estimated MME based on the available data. Maximum estimates used the maximum MME that might have been administered based on device settings or orders. Average took the arithmetic mean between minimum and maximum estimates. See methods section for more details on MME calculations.

P-values are reported to three decimals; p-values < 0.001 are reported as p<0.001.

a

Fisher’s exact test with Monte Carlo significance due to cells with <5 expected counts; all other tests of differences in proportions by chi square test.

b

per 10 MME.

C

p-values by Mann Whitney U-test.

CI= confidence interval; IQR = interquartile range; MME= oral morphine milligram equivalent; SpO2 = pulse oximetry monitoring.

There was no evidence for an association between the outcome and sex, age, body mass index (BMI), ASA physical status, OSA diagnosed vs. suspected, presence of cardiovascular or pulmonary comorbidities, or hours between anesthesia end and the event (Supplemental Digital Content File 3: Table 2). Among the 37 patients with known severity of OSA, there was no evidence for an association between severity of OSA and outcome (Table 3).

Death or brain damage was more common in patients receiving sedatives in addition to opioids compared to patients receiving opioids without sedatives (OR 4.133 [1.348–12.672], p=0.011, Table 4). Among 41 patients receiving sedatives in addition to opioids, 31 (76%) died or had brain damage; death or brain damage occurred in only nine (43%) of 21 patients who received opioids only. There was no evidence for an association between MME and outcome (Table 4).

Discussion

There are several important observations from our analysis of the OSA Registry’s postoperative critical events. The majority of events occurred within the first 24 postoperative hours. Inadequate respiratory monitoring, no supplemental oxygen, lack of personnel closely observing the patient, and co-administration of sedatives and opioids were all associated with worse outcomes.

Our observation that the majority of events occurred within the first 24 hours is consistent with previous studies.8,25,26 Some OSA protocols include additional monitoring for the first 24 hours postoperatively, with extension if concerning events were observed during this period.7,27

Better outcomes were associated with higher levels of monitoring and whether the event was witnessed. Clinically, these factors are related. Patients identified as high risk are routinely triaged to areas of the hospital with advanced monitoring and higher nurse to patient ratios, allowing earlier detection of, and intervention for, clinical deterioration. Subramani et al. also found the level of monitoring was a risk factor for death/near-death events.8 Taenzer et al. demonstrated that continuous pulse oximetry for hospitalized patients receiving opioids decreased adverse events.28 Effective monitoring strategies should be explored for OSA surgical patients to reduce these catastrophic events.

While the most common location for OSA-related events was the hospital ward, it is striking that 21% occurred at home. With the trend toward ambulatory rather than inpatient surgery,29,30 OSA patients will increasingly have ambulatory surgery and potentially be at risk for catastrophic outcomes after discharge. Our data should stimulate reassessment of discharge criteria for OSA patients and research to identify OSA patients most at risk for adverse events. Protocols should be explored where high risk OSA patients can be monitored post discharge with home monitoring systems to improve their safety.

Five patients were wearing PAP devices at the time of their critical event, with two deaths and three other critical events. The two patients who died had unwitnessed events while on the ward without monitoring. We had insufficient data to explore preoperative PAP compliance and outcomes. PAP devices can improve postoperative oxygenation and mitigate opioid-induced worsening of OSA.31 Despite use of CPAP, patients may still experience postoperative hypoxic events. Preoperative CPAP settings may be insufficient to overcome postoperative physiological cardiorespiratory changes.32 Our data highlight the fact that PAP devices are not 100% protective, and OSA patients on PAP therapy postoperatively may still require careful monitoring.

Death and brain damage were more likely to occur with no supplemental oxygen in our series. Chan et al. found that OSA patients with postoperative cardiovascular events had longer duration of severe oxygen desaturation.3 Given that 52% of patients in our series had supplemental oxygen at the time of their critical event, oxygen therapy should not be considered completely protective against catastrophic outcomes. While there may be concern that supplemental oxygen could be detrimental due to alarm delays, we did not collect data on alarm settings or response times so we cannot address that concern with these data.

We found no statistically significant association between severity of OSA and outcome. This negative finding may be due to the small sample size, and must not be interpreted as evidence for the lack of an association. Two large studies demonstrated that patients with severe OSA had higher risk for postoperative adverse outcomes. Chan et al. found an association between higher risk for postoperative cardiovascular events and OSA among patients with severe OSA.3 Mutter et al. found patients with severe or undiagnosed OSA had significantly increased risk of respiratory and cardiovascular complications, respectively.33

The co-administration of opioids and sedatives was associated with worse outcomes. Medications with sedative properties potentiate opioid-induced respiratory depression. Receiving both classes of medications has been shown to increase risk of cardiopulmonary and respiratory arrests in hospitalized patients.34 Based upon the propensity for antihistamines to cause sedation and reports of ventilatory depression with their use,3537 we included antihistamines among the sedatives in our study with potential to suppress ventilatory drive. However, previous studies in young healthy volunteers found that diphenhydramine stimulated ventilatory drive.38,39 It is plausible that the effect may depend upon patient disease such as OSA and drug levels, which may be unpredictable in the postoperative setting.

We did not find an association between MME and outcome, though others have.6,8,26 Our findings should be interpreted with caution given the small sample size and estimated MME. A recent meta-analysis on opioid-induced respiratory depression found 40% higher risk in OSA vs. non-OSA patients.6 Subramani et al. reported a clear dose-response pattern on death/near-death with increasing opioid doses.8 While Rowsell et al did not find 40 mg oral controlled-release morphine worsened OSA,40 this dose is low compared to doses often used postoperatively. The complex combination of inter-individual variability to opioid sensitivity,40 coupled with differences in OSA endotypes and phenotypes, may contribute to critical complications.41

Continuous respiratory central monitoring was in use for 3/43 (7%) of cases with death or brain damage. Improved monitoring solutions could impact outcomes of OSA-related critical events but may not be completely protective, underscoring the importance of optimal preparation and management. Some have recommended non-opioid anesthesia/analgesia and multi-modal pain management to prevent or reduce opioid-induced adverse events.42,43 Preoperative identification of OSA, optimization before surgery, and careful perioperative management were highlighted in SASM perioperative OSA management guidelines to limit adverse perioperative outcomes in OSA patients.44,45 These recommendations warrant attention.

Limitations of this analysis include opportunity sampling, voluntary case submission, and missing OSA severity and other data. Incomplete opioid data was addressed by estimation. There are no laboratory tests or autopsy findings that allow confirmation that critical events were related to OSA. The assessment of whether OSA “more likely than not” contributed to the event was subjective and based on information in the case report, and not original medical records. However, there was a high level of agreement between the authors. The various clinical factors associated with poor outcomes overlap clinically, rendering it difficult to assess their relative contributions within the small and potentially biased sample. Confounding limits our conclusions. The associations identified between individual clinical factors and outcomes are suggestive, not conclusive evidence, with potentially inflated Type 1 error. Despite these limitations, the data was sufficient to suggest important lessons.

In conclusion, the OSA Death and Near Miss Registry found that OSA patients are at risk for postoperative critical events, most within the first 24 hours. Death and brain damage were more likely to occur with unwitnessed events, no supplemental oxygen, lack of respiratory monitoring, and combination of opioids plus sedative agents. Postoperative PAP use, supplemental oxygen, and central respiratory monitoring were not completely protective against catastrophic events. It is important that efforts be directed at providing more effective monitoring for OSA patients following surgery, and clinicians consider the potentially dangerous effects of co-administration of opioids with sedative agents when managing pain in OSA patients.

Supplementary Material

Supplemental Data File 2
Supplemental Data File 3
Supplemental Data File 1

Key Points Summary.

  • Question: Are worse outcomes following a postoperative OSA-related critical event associated with more severe OSA, less intense monitoring, and higher cumulative dose of opioids?

  • Findings: Respiratory monitoring, personnel closely observing the patient, and supplemental oxygen were associated with better outcomes, while combinations of opioids plus sedatives were associated with worse outcomes sustained by OSA patients after a critical event.

  • Meaning: It is important that efforts be directed at providing more effective postoperative monitoring of OSA patients following surgery and clinicians consider the potentially dangerous effects of opioids combined with sedative agents when managing pain in OSA patients.

Acknowledgments:

The authors appreciate the time and effort expended by everyone who submitted case reports to make this project possible.

Funding Statement: Supported in part by the Society of Anesthesia and Sleep Medicine (SASM), Milwaukee, WI, and the Anesthesia Quality Institute (AQI), Schaumburg, IL. All opinions expressed are those of the authors and do not reflect the policy of the SASM or AQI. REDCap (Research Electronic Data Capture) electronic data capture tools hosted at University of Washington was provided by the Institute of Translational Health Science (ITHS) through UL1 TR002319 from the National Center for Advancing Translational Sciences of the National Institutes of Health. Additional support was provided by institutional funding.

Glossary of Terms

AHI

apnea hypopnea index

ASA

American Society of Anesthesiologists

BPAP

Bilevel Positive Airway Pressure

BMI

body mass index

CCP

Anesthesia Closed Claims Project and its Registries

CI

confidence interval

COPD

chronic obstructive pulmonary disease

CPAP

Continuous Positive Airway Pressure

ICU

intensive care unit

IQR

interquartile range

IV

intravenous

MME

morphine milligram equivalents

OSA

obstructive sleep apnea

OSA Registry

OSA Death and Near Miss Registry

PACU

post anesthesia care unit

PAP

positive airway pressure device

SASM

Society of Anesthesia and Sleep Medicine

SD

standard deviation

SpO2

pulse oximetry monitoring

Footnotes

Conflict of interest:

Dr. Posner reports grants from Society for Anesthesia and Sleep Medicine and grants from Anesthesia Quality Institute, and departmental funding during the conduct of the study.

Dr. Domino reports grants from Anesthesia Quality Institute during the conduct of the study.

Dr. Auckley reports personal fees from UpToDate, personal fees from ABIM Sleep Medicine Test Writing Committee, personal fees from Nixon, Vogelman, Barry, Slawsky, and Simoneau, and a grant from Medtronic, outside the submitted work.

Dr. Hillman reports grants from ResMed Inc, grants from Oventus Medical, grants from Zelda Therapeutics, grants from Nyxoah SA outside the submitted work.

Mr. Mincer reports grants from Anesthesia Quality Institute during the conduct of the study.

Dr. Overdyk reports personal fees from Medtronic outside the submitted work.

Dr. Weingarten reports personal fees from Medtronic, grants from Merck, outside the submitted work.

Dr. Chung reports grants from Ontario Ministry of Health and Long-Term Care, grants from University Health Network Foundation, Grants from Medtronic (Institution outside of submitted work), personal fees from Up-to-date royalties, non-financial support from STOP-Bang (proprietary to University Health Network), outside the submitted work.

The remaining authors reported no conflict of interest.

Clinical Trial Registry: NA

Prior Presentations: Preliminary findings were presented at the American Society of Anesthesiologists Annual Meeting, San Francisco, CA, USA, Oct. 13, 2018 (Posner KL, et al. Preliminary results from the Society of Anesthesia and Sleep Medicine (SASM) OSA Registry, Abstract BOC 01).

References Cited:

  • 1.Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol 2013;177(9):1006–1014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Finkel KJ, Searleman AC, Tymkew H, et al. Prevalence of undiagnosed obstructive sleep apnea among adult surgical patients in an academic medical center. Sleep Med 2009;10(7):753–758. [DOI] [PubMed] [Google Scholar]
  • 3.Chan MTV, Wang CY, Seet E, et al. Association of unrecognized obstructive sleep apnea with postoperative cardiovascular events in patients undergoing major noncardiac surgery. JAMA 2019;321(18):1788–1798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Memtsoudis S, Liu SS, Ma Y, et al. Perioperative pulmonary outcomes in patients with sleep apnea after noncardiac surgery. Anesth Analg 2011;112(1):113–121. [DOI] [PubMed] [Google Scholar]
  • 5.Opperer M, Cozowicz C, Bugada D, et al. Does obstructive sleep apnea influence perioperative outcome? A qualitative systematic review for the Society of Anesthesia and Sleep Medicine Task Force on preoperative preparation of patients with sleep-disordered breathing. Anesth Analg 2016;122(5):1321–1334. [DOI] [PubMed] [Google Scholar]
  • 6.Gupta K, Nagappa M, Prasad A, et al. Risk factors for opioid-induced respiratory depression in surgical patients: a systematic review and meta-analyses. BMJ Open 2018;8(12):e024086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bolden N, Smith CE, Auckley D. Avoiding adverse outcomes in patients with obstructive sleep apnea (OSA): development and implementation of a perioperative OSA protocol. J Clin Anesth 2009;21(4):286–293. [DOI] [PubMed] [Google Scholar]
  • 8.Subramani Y, Nagappa M, Wong J, Patra J, Chung F. Death or near-death in patients with obstructive sleep apnoea: a compendium of case reports of critical complications. Br J Anaesth 2017;119(5):885–899. [DOI] [PubMed] [Google Scholar]
  • 9.Fouladpour N, Jesudoss R, Bolden N, Shaman Z, Auckley D. Perioperative complications in obstructive sleep apnea patients undergoing surgery: a review of the legal literature. Anesth Analg 2016;122(1):145–151. [DOI] [PubMed] [Google Scholar]
  • 10.Svider PF, Pashkova AA, Folbe AJ, et al. Obstructive sleep apnea: strategies for minimizing liability and enhancing patient safety. Otolaryngol Head Neck Surg 2013;149(6):947–953. [DOI] [PubMed] [Google Scholar]
  • 11.Benumof JL. Mismanagement of obstructive sleep apnea may result in finding these patients dead in bed. Can J Anaesth 2016;63(1):3–7. [DOI] [PubMed] [Google Scholar]
  • 12.CONSORT Standards for Reporting: Strobe checklist for observational studies (Version 4). https://www.strobe-statement.org/fileadmin/Strobe/uploads/checklists/STROBE_checklist_v4_combined.pdfAccessed April 14, 2020.
  • 13.Bolden N, Posner KL. OSA Death and Near-Miss Registry: SASM and AQI working to eliminate preventable deaths. ASA Monitor 2014;78(8):56–57. [Google Scholar]
  • 14.Bolden N, Posner KL. Obstructive Sleep Apnea Death and Near Miss Registry: Society of Anesthesia and Sleep Medicine (SASM) and Anesthesia Quality Institute (AQI) working to eliminate preventable deaths. Society of Anesthesia & Sleep Medicine Newsletter 2014;3(3):4–5. [Google Scholar]
  • 15.Posner KL, Bolden N. Obstructive sleep apnea death and near miss registry opens. APSF Newsletter 2015;29(3):53. [Google Scholar]
  • 16.Chung F Message from the president. Society of Anesthesia & Sleep Medicine Newsletter 2015;4(1):1. [Google Scholar]
  • 17.The Obstructive Sleep Apnea Death and Near Miss Registry [box ad]. Society of Anesthesia & Sleep Medicine Newsletter 2015;4(1):5. [Google Scholar]
  • 18.Chung F, Yegneswaran B, Liao P, et al. STOP Questionnaire. a tool to screen patients for obstructive sleep apnea. Anesthesiology 2008;108(5):812–821. [DOI] [PubMed] [Google Scholar]
  • 19.Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med 1999;131(7):485–491. [DOI] [PubMed] [Google Scholar]
  • 20.Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13(3):479–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.American Pain Society. Principles of Analgesic Use,7th edition Chicago, IL: American Pain Society; 2016. pages 28–36 (Table 2). [Google Scholar]
  • 22.Chapter 19 Spinal Anesthesia. In: Twycross R, Wilcock A, Dean M, Kennedy B, eds. Canadian Palliative Care Formulary PalliativeDrugs.com. Ltd;2010:522 www.palliativedrugs.com Accessed December 20, 2019. [Google Scholar]
  • 23.Guinard JP, Carpenter RL, Chassot PG. Epidural and intravenous fentanyl produce equivalent effects during major surgery. Anesthesiology 1995;82(2):377–382. [DOI] [PubMed] [Google Scholar]
  • 24.IARS. OpioidConversion – IV and IT. OpenAnesthesia; http://www.openanesthesia.org/aba_opioid_conversion_-_iv_and_it/ Accessed August 15, 2019. [Google Scholar]
  • 25.Bolden N, Smith CE, Auckley D, Makarski J, Avula R. Perioperative complications during use of an obstructive sleep apnea protocol following surgery and anesthesia. Anesth Analg 2007;105(6):1869–1870. [DOI] [PubMed] [Google Scholar]
  • 26.Cozowicz C, Chung F, Doufas AG, Nagappa M, Memtsoudis SG. Opioids for acute pain management in patients with obstructive sleep apnea: a systematic review. Anesth Analg 2018;127(4):988–1001. [DOI] [PubMed] [Google Scholar]
  • 27.Swart P, Chung F, Fleetham J. An order-based approach to facilitate postoperative decision-making for patients with sleep apnea. Can J Anesth 2013;60(3):321–324. [DOI] [PubMed] [Google Scholar]
  • 28.Taenzer AH, Pike JB, McGrath SP, Blike GT. Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology 2010;112(2):282–287. [DOI] [PubMed] [Google Scholar]
  • 29.Gornet MF, Buttermann GR, Wohns R, et al. Safety and efficiency of cervical disc arthroplasty in ambulatory surgery centers vs. hospital settings. Int J Spine Surg 2018;12(5):557–564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Shah RR, Cipparrone NE, Gordon AC, Raab DJ, Bresch JR, Shah NA. Is it safe? Outpatient total joint arthroplasty with discharge to home at a freestanding ambulatory surgical center. Arthoplast Today 2018;4(4):484–487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Liao P, Luo Q, Elsaid H, Kang W, Shapiro CM, Chung F. Perioperative auto-titrated continuous positive airway pressure treatment in surgical patients with obstructive sleep apnea: a randomized controlled trial. Anesthesiology 2013;119(4); 837–847. Erratum in: Anesthesiology 2014;120(5):1302. [DOI] [PubMed] [Google Scholar]
  • 32.Brar IS, Sharma R, Khanna G, Auckley D. CPAP for obstructive sleep apnea in the post-operative setting: an oximetry evaluation study. J Sleep Disorders Ther 2013;2(7):145. [Google Scholar]
  • 33.Mutter TC, Chateau D, Moffatt M, Ramsey C, Ross LL, Kryger M. A matched cohort study of postoperative outcomes in obstructive sleep apnea: could preoperative diagnosis and treatment prevent complications? Anesthesiology 2014;121(4):707–718. [DOI] [PubMed] [Google Scholar]
  • 34.Izrailtyan I, Qiu J, Overdyk FJ, Erslon M, Gan TJ. Risk factors for cardiopulmonary and respiratory arrest in medical and surgical hospital patients on opioid analgesics and sedatives. PLoS One 2018;13(3):e0194553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gabathuler ML, Kaufman RD. Respiratory depression of intravenous hydroxyzine in man: potency, duration, and lack of reversal by naloxone. Anesth Analg 1981;60(9):634–637. [PubMed] [Google Scholar]
  • 36.Winder CV, Thomas RW. Cardiovascular and respiratory effects of the antihistamine agent, β-dimethylaminoethyl benzhydryl ether hydrochloride (Benadryl hydrochloride). J Pharmacol Exp Ther. 1947;91(1):1–14. [PubMed] [Google Scholar]
  • 37.Gasser JC, Bellville JW. Interaction of the effects of hydroxyzine and pentazocine on human respiration. Anesthesiology 1975;43(5):599–601. [DOI] [PubMed] [Google Scholar]
  • 38.Alexander CM, Seifert HA, Blouin RT, Conard PF, Gross JB. Diphenhydramine enhances the interaction of hypercapnic and hypoxic ventilatory drive. Anesthesiology 1994;80(4):789–795. [DOI] [PubMed] [Google Scholar]
  • 39.Babenco HD, Blouin RT, Conard PF, Gross JB. Diphenhydramine increases ventilatory drive during alfentanil infusion. Anesthesiology 1998;89(3):642–647. [DOI] [PubMed] [Google Scholar]
  • 40.Rowsell L, Wong KKH, Yee BJ, et al. The effect of acute morphine on obstructive sleep apnoea: a randomized double-blind placebo-controlled crossover trial. Thorax 2019;74(2):177–184. [DOI] [PubMed] [Google Scholar]
  • 41.Subramani Y, Singh M, Wong J, Kushida CA, Malhotra A, Chung F. Understanding phenotypes of obstructive sleep apnea: applications in anesthesia, surgery and perioperative medicine. Anesth Analg 2017;124(1):179–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Frauenknecht J, Kirkham KR, Jacot-Guillarmod A, Albrecht E. Analgesic impact of intra-operative opioids vs. opioid-free anaesthesia: a systematic review and meta-analysis. Anaesthesia 2019;74(5): 651–662. [DOI] [PubMed] [Google Scholar]
  • 43.Wu CL, King AB, Geiger TM, et al. American Society for Enhanced Recovery and Perioperative Quality Initiative Joint Consensus Statement on Perioperative Opioid Minimization in Opioid-Naïve Patients. Anesth Analg 2019;129(2):567–577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Chung F, Memtsoudis SG, Ramachandran SK, et al. Society of Anesthesia and Sleep Medicine Guidelines on Preoperative Screening and Assessment of Adult Patients With Obstructive Sleep Apnea. Anesth Analg 2016;123(2):452–473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Memtsoudis SG, Cozowicz C, Nagappa M, et al. Society of Anesthesia and Sleep Medicine Guideline on Intraoperative Management of Adult Patients With Obstructive Sleep Apnea. Anesth Analg 2018;127(4):967–987. [DOI] [PMC free article] [PubMed] [Google Scholar]

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