Adverse respiratory events in the postanesthesia care unit (PACU) occur commonly, with at least 1 episode of hypoxemia measured via pulse oximetry (SpO2) reported in 35% to 55% of adult patients (Table 1).1–4 These observational reports of PACU hypoxemia1–6 date back to the late 1980s and early 1990s, a time when anesthesia practice and PACU care were quite different than they are today. PACU intubation rates of 0.09% to 0.19% have been reported.5–7 In previous studies of hypoxemia during the entire PACU admission, researchers measured incidence rates per patient, not the temporal distribution of their occurrence.5–7 The time course of when hypoxemia occurs is important for understanding issues related to PACU coverage by anesthesiologists.8–11 Therefore, we undertook this study to determine the potential influence of hypoxemia in the PACU on anesthesiologist coverage of this location. Our goal was (explicitly) not to study root causes of hypoxemia, but rather to understand the timing of such events during the PACU admission.
Understanding when hypoxemia and tracheal intubation occur in relation to the time of PACU arrival and their incidences has managerial (i.e., staffing and assignment) implications because the physical presence of an anesthesiologist may be required for treatment. This situation is in contrast to phone calls from the PACU regarding medical issues that usually can be managed remotely,12,13 such as hypertension, hypotension, or bradycardia. For example, if most (i.e., >50%) hypoxemic episodes occur shortly after the patient’s arrival in the PACU, when the anesthesia provider and/or anesthesiologist who transported the patient is still present, it might not be necessary to plan additional PACU coverage by anesthesiologists. Conversely, if hypoxemic episodes mostly occur after the transfer of care to the postoperative nurse has taken place, then an anesthesiologist needs to be available at all times to come urgently to the PACU if needed.
We selected a threshold of 50% because if an event occurs most of the time, managerially, one should plan for it. It would be very reasonable to propose that a smaller percentage than 50% of hypoxemic episodes might be appropriate to ensure coverage for safety reasons, and we do not suggest that 50% is the appropriate cutoff. Testing for >50%, however, implies testing for lower cutoffs because if >50% of hypoxemic episodes occur after the transfer of care, it follows mathematically that any threshold <50% (e.g., 1%, 5%, or 10%) will occur after the transfer of care.
We reported recently that intervals during which the anesthesiologist needs to be present (i.e., for regulatory or compliance reasons, or because of physiologic perturbations) commonly occur simultaneously in multiple operating rooms (ORs).14 These previous results were limited to events occurring in ORs. The results are caused by multiple cases commencing at the beginning of the day and amplified if there are some very brief cases that end while other cases are still being started.15,16 Therefore, we subsequently studied the PACU and found that communications from the PACU to anesthesiologists represented 18% of the calls received by supervising anesthesiologists.17 (Throughout this article we use the term “supervising” as related to overseeing the care provided by other anesthesia providers, not as a US billing term.) Consequently, the workload related to patient care in the PACU also should be considered.15
Although attention has been refocused during the last 6 years on the issue of hypoxemia (SpO2 <90%) and other critical respiratory events in the PACU in the context of clinically unrecognized residual neuromuscular blockade,18–20 these studies are not sufficient to understand anesthesiologists’ coverage of the PACU because observations were limited to the first 15 or 30 minutes after patient arrival in the unit. We thus studied hypoxemia in adults throughout their PACU stays by using electronically recorded vital signs at a large medical center with many years of data. We studied individual hypoxemic episodes because anesthesiologist workload in the PACU associated with the treatment of hypoxemia is related to individual hypoxemic episodes, not simply to the fraction of patients experiencing hypoxemia. For example, consider the following scenario. One patient has 5 separate hypoxemic episodes during the course of his or her PACU stay, 3 of which require an intervention by the anesthesiologist. Another patient has 1 hypoxemic episode requiring such intervention. From the perspective of the percentage of patients experiencing hypoxemia during their PACU admission, the 2 patients are equivalent, contributing 1 to the numerator. The workload created for the anesthesiologist, however, is 3 times greater for the first patient than for the second patient.
Our first hypothesis was that most hypoxemic episodes (i.e., >50% of such episodes), defined as SpO2 <90% lasting at least 2 consecutive minutes, occur <30 minutes after patient admission to the PACU. This hypothesis effectively tested whether previous studies of residual neuromuscular blockade in the PACU16–18 that focused on the first 15 and 30 minutes captured ≤50% of the hypoxemic episodes experienced by patients while they were in the PACU. We selected 30 minutes, however, as the cut-off point because this was the median turnover time (i.e., from OR exit to OR entrance) from our study of 31 hospitals.21 To bring the next patient into the OR at 30 minutes, the provider would have left the PACU earlier than 30 minutes after arrival in the PACU. Because our PACU interval excluded the transport time from the OR to the PACU, and that interval is included in the turnover time, our selection of 30 minutes is therefore conservative. A shorter interval would increase the fraction of hypoxemic episodes after departure from the PACU of the anesthesia provider who transported the patients to the PACU.
Our second hypothesis was that hypoxemic episodes in the PACU would take longer to resolve than corresponding episodes in the OR we reported previously.22 We made this hypothesis because most patients admitted to the PACU have a natural airway and do not have an anesthesia provider available within seconds, in contrast to the situation in ORs.
Our third hypothesis was that most PACU intubations in patients arriving with a natural airway would also take place <30 minutes after patient admission. We made this hypothesis because, under such circumstances, the transporting anesthesia provider would often still be present and the patient’s anesthesiologist available (e.g., not inducing the next patient in the OR just vacated).
If hypotheses 1 and 3 were rejected and hypothesis 2 was confirmed, then the PACU would need to be considered when determining appropriate total anesthesiologist staffing by time of day for a facility,10,14,15 incorporating the ability to respond to critical events in a timely fashion.
The study was approved by the Vanderbilt University IRB (Nashville, TN) without requirement for written patient consent. The 3 hypotheses, definitions of hypoxemic episodes, and the statistical plan for hypotheses 1 and 2 were formulated before data analysis, informed by our previous analysis of intraoperative hypoxemia.20 The statistical method needed to analyze the data for hypothesis 3 was a consequence of the low frequency of intubation in the PACU, not known until after the initial data analysis. A formal power analysis was not performed because there was no incremental cost for analyzing all available data versus a subset.
We retrieved from the institution’s perioperative data warehouse (SQL Server, Microsoft, Redmond, WA) the time of PACU admission, the time the anesthesia provider completed the transfer of care to the PACU nurse (i.e., the anesthesia end time), and subsequent SpO2 values with timestamps. The SpO2 measurements were recorded at either 30-second or 60-second intervals, depending on how each patient monitor was configured. For purposes of a sensitivity analysis related to the applicability of our findings to different practice environments (see Results, hypothesis 2), we also determined whether the patient received a nondepolarizing muscle blocker (NDMB) in the OR or an opioid in either the OR or the PACU. Because the objective of the paper was to determine the staffing implications of PACU hypoxemia, not to attempt to predict which patients would experience a hypoxemic episode, we did not explore patient factors (e.g., obstructive sleep apnea) or other details of anesthesia care (e.g., use of regional versus general anesthesia) that might contribute to hypoxemia.
Oximetry values were determined by IntelliVue® MP50/70/90 series monitors (Royal Philips Electronics, Amsterdam, The Netherlands) via the use of adhesive, disposable Nellcor® sensors (Covidien, Mansfield, MA). Patients were nonambulatory while in the PACU. The oximetry values are averaged over a minimum of 10 seconds for the monitor display, and the last recorded value is transmitted to the anesthesia information management system either every 30 or 60 seconds (depending on how the monitor was configured). Invalid measurements (e.g., lack of an analyzable waveform) are not transmitted from the monitor to the database; rather, they result in a gap in measurement (see the next section for how this was handled). The alarm limit in the PACU was set at 90%.
All 137,757 patients at the main campus of Vanderbilt University Medical Center (VUMC) who were admitted to the 2 adult PACUs between Monday, January 1, 2007, and Sunday, February 17, 2013, were included. The main PACU and secondary PACU are in close proximity to each other, and patients from the 2 OR suites can be sent to either location to recover from anesthesia. VUMC also has a freestanding ambulatory surgical center, located remotely from the main campus, which was not studied. The study population included patients undergoing neuraxial anesthesia, regional anesthesia, or sedation in the ORs, not just those receiving general anesthesia. The date range studied was the most recent continuous interval of PACU data that was available at the time of data extraction, and conveniently comprised n = 80 four-week intervals (see Statistical Methods).
For assessment of the incidence of tracheal intubation in the PACU, data from October 3, 2008, through April 14, 2013, were selected, comprising 111,456 patients. The start date was the first date with the availability of electronic recording of PACU nursing notes, necessary for automated detection of patients who possibly were intubated in the PACU. The end date was when these data were extracted.
To confirm that the time anesthesia providers spent in the PACU before completing the transfer of care was not distinctive to VUMC, equivalent data from all 43,614 main hospital PACU admissions between January 2011 and December 2013 were retrieved from the anesthesia information management system at Thomas Jefferson University Hospital (Innovian™; Dräger, Telford, PA).
Definition of a Hypoxemic Episode
A hypoxemic episode was defined as a series of continuous SpO2 values <90% lasting for at least 2 minutes,23 identified through the application of our previously described algorithm.20 Specifically, when data were recorded every 30 seconds, 4 consecutive values with the SpO2 <90% defined a hypoxemic episode. When data were recorded every 60 seconds, 2 such consecutive values were required. Skips in timestamps for 2 sequentially recorded SpO2 values <90% were handled by assuming that (unrecorded) intermediary values also were <90%. For example, if the SpO2 were 88% at 9:00:00 AM, not recorded to the database at 9:01:00 AM, and 86% at 9:02:00 AM, we interpolated the value at 9:01:00 AM as <90%. If SpO2 values were missing between 2 values of <90% and ≥90%, or between 2 values of ≥90%, the missing values were considered to be ≥90%. This process was biased against hypothesis 2 (i.e., hypoxemia resolves less quickly in the PACU than in the OR) being satisfied.
The onset time of each unique hypoxemic episode was identified. For an episode to be counted as unique (as opposed to the continuation of an ongoing episode), there had to be at least 3 previous minutes with all SpO2 ≥90%20 or the episode had to have started within 3 minutes of the first recorded SpO2 in the PACU. An annotated example of a patient demonstrating several hypoxemic episodes and transient desaturation episodes is shown in Figure 1.
We did not analyze 1-minute episodes because of the transient nature of such events, their questionable clinical relevance, and concern that many might be measurement artifacts (e.g., as the result of patient movement). From the perspective of our staffing analysis, this was a conservative approach, because the inclusion of such episodes would have increased the PACU workload related to management of hypoxemia.
Anesthesiologists were considered to be the physicians supervising the anesthetic care of 1 to 4 patients, whereas anesthesia providers were those providing direct patient care (i.e., residents, Certified Registered Nurse Anesthetists, or Student Registered Nurse Anesthetists).
Temporal Distribution of Hypoxemic Episodes (Hypothesis 1)
The total numbers of episodes of hypoxemia during each minute after PACU admission were determined. The cumulative percentages of all such episodes occurring up to the first 180 minutes of the PACU stay were calculated and used to test whether most hypoxemic episodes occurred <30 minutes after admission to the PACU (see Statistical Methods).
The interval in minutes from admission to the PACU to the onset of each hypoxemic episode was categorized as having begun <30 or ≥30 minutes after arrival to the unit. The 30-minute cut point not only matches previous studies but also is the median turnover time reported from 31 hospitals19 (i.e., when the anesthesia provider would be bringing the next patient into the OR and thus could not still be present in the PACU). The previous studies of NDMB influence on hypoxemia limited evaluation to 15 or 30 minutes.
Resolution of Hypoxemic Episodes (Hypothesis 2)
The continued presence of hypoxemia for each hypoxemic episode was determined according to whether the SpO2 remained <90% at 3, 5, and 10 minutes after its onset, based on the recorded timestamps. If a recorded value was not present at the timestamp corresponding to these intervals, the next available timestamp was used, and the episode considered not resolved until a value ≥90% was found. For example, if a hypoxic episode started at 10:00:00 AM and lasted until 10:06:00 AM, but no SpO2 values from 10:05:00 AM to 10:05:59 were recorded to the database (e.g., the waveform was unreliable, so the monitor did not transmit the value), the episode was considered unresolved at 5 minutes. The duration of this hypoxemic episode was thus considered to have lasted from 10:00:00 AM until 10:05:59 AM.
Hypoxemic episodes within patients are correlated. Therefore, a sensitivity analysis was performed by selecting a single random episode of hypoxemia from each patient. The analysis of the time course of resolution of hypoxemia was repeated using the specified intervals.
On the basis of the previous studies cited in the Introduction (Table 1),1–4 incidence rates of hypoxemia may differ among hospitals. We therefore performed a sensitivity analysis to determine potential limitations of our findings due to differences in the types of anesthetic drugs used. The calculations were repeated with patients stratified according to the following 4 groups: (1) received an NDMB in the OR and received an opioid in the OR or PACU; (2) received an NDMB but no opioid; (3) did not receive an NDMB but received an opioid; and (4) received neither an NDMB nor an opioid. Importantly, this sensitivity analysis for anesthesiologist staffing to manage hypoxemia analyzed PACU events, not patients, and thus cannot be used to infer the cause of hypoxemia.
Evaluation of the Timing of PACU Intubation (Hypothesis 3)
Electronic nursing notes, entered as free text, were parsed using Transact-SQL (Microsoft) to identify patients who possibly had been intubated in the PACU. We searched for the presence of any of the following case-insensitive character strings: ‘%intubat%’; ‘%cpr%’; ‘%arrest%’; ‘%code%’; and ‘%RRT%’. The symbol % represents a variable length string comprising any characters (e.g., “Pt received intubated and placed on the vent” would have been captured since it includes the string ‘intubat’). The medical records containing identified comments were reviewed manually to identify patients who had a tracheal tube inserted during their stay in the PACU. The complete electronic perioperative records of such patients were reviewed to determine the time of intubation in the PACU, to ascertain whether the patient arrived at the PACU already intubated or with a natural airway, and to identify documented reasons for intubation.
For the temporal distribution of intubations in the PACU, we only considered patients arriving in the PACU with a natural airway, not those arriving with a tracheal tube in situ and subsequently failing extubation while still in the PACU. The rationale for this was that at the studied hospital, if a patient were taken to the PACU still intubated, this was because of medical reasons (e.g., the patient was cold, was still partially paralyzed, and was narcotized). The extubation event would be deferred until an anesthesiologist or anesthesia resident was available to evaluate that the patient met extubation criteria. Thus, for these patients, there would not be a managerial decision, because extubation would not take place until an anesthesiologist or anesthesia resident was available to direct attention to the patient.
Similar to the choice of a cut point of 30 minutes as described in hypothesis 1 (described previously), we also characterized intubations as having occurred <30 or ≥30 minutes after PACU arrival.
Hypothesis 1 was that most (i.e., >50%) hypoxemic episodes occur <30 minutes from the time of patient admission to the PACU. This hypothesis is managerially important24–26 because, if rejected (i.e., ≥50% of such episodes occur ≥30 minutes after PACU arrival), it would mean that PACU coverage by anesthesiologists would need to be ensured beyond the time when most transporting anesthesia providers have left the PACU (see Results). We tested “most” (i.e., 50%) because, managerially, if one knows that something is going to happen most of the time, then one needs to plan for its occurrence (see Introduction).
The fraction of hypoxemic episodes occurring within 30 minutes of PACU admission was calculated separately for each of the n = 80 four-week periods. Following the time series method of batch means, the mean of these 80 fractions was compared conservatively with >0.50 (i.e., “most”) by us of the Student 1-group, 2-sided t test.27–29 A 1-sided confidence interval also was calculated using Student t distribution. The method of batch means was used, as is appropriate for analyzing most other OR managerial data, because episodes within individuals are correlated, there may be surgical service-specific effects by day of the week, and the numbers of episodes vary among days of the week (e.g., Sunday versus Monday).25–27
The mean number of hypoxemic episodes per patient admitted to the PACU was determined by dividing the total number of hypoxemic episodes in each 4-week interval by the number of cases admitted to the PACU during the interval. The mean and the standard error of the mean were calculated using the means of the n = 80 ratios.
To test hypothesis 2 (i.e., hypoxemia resolves more slowly in the PACU than in the OR), the proportions of unresolved hypoxemic episodes at various times from onset were calculated for each 4-week interval. The n = 80 proportions were compared with the previously reported proportion of unresolved episodes of hypoxemia in the OR using the 1-group, 2-sided Student t test. As a sensitivity analysis, the comparison was repeated using 50% reductions in each PACU proportion of unresolved hypoxemic episodes. This tests the potential impact of having identified some hypoxemic episodes incorrectly (e.g., due to artifacts in measuring the SpO2).
Also to test hypothesis 2, we selected a single, random hypoxemic episode from each patient and then calculated the point estimates for resolution of hypoxemia during each of the 80 four-week bins for resolution of hypoxemia at various times from outset.20 In effect, this is a sensitivity analysis for each of the 80 proportions. Because only one episode is selected, and the probability of an episode during a period is greater for a patient with 1 preceding episode than a patient with 0 preceding episodes, selecting a single episode will result in fewer incidences of unresolved hypoxemia. The sensitivity analysis evaluates how much less.
To test hypothesis 3 (i.e., the timing of intubation with respect to PACU arrival), we compared the occurrence rate of intubation <30 minutes to the occurrence rate of intubation ≥30 minutes using the exact binomial test. Unlike the preceding hypoxemia data (where individual patients could experience multiple episodes of desaturation), there was only 0 or 1 PACU intubation event per patient, and PACU intubation events were rare (i.e., many days typically elapsed between occurrences). Confidence intervals for the binomial proportions were calculated using the method of Blyth-Still-Casella (StatXact-10, Cytel Software Corporation, Cambridge, MA).30,31
Hypothesis 1: Temporal Distribution of Hypoxemic Episodes
Among all unique hypoxemic episodes in the PACU, 66.9% ± 0.5% were single occurrences in a patient (n = 24,146 unique hypoxemic episodes). Among all PACU patients, 11.3% ± 0.02% experienced at least 1 hypoxemic episode in the PACU (n = 137,757 PACU patients). There was a mean of 0.62 ± 0.001 hypoxemic episodes per PACU patient.
There were few hypoxemic episodes in the PACU at the start of the day, the period when there are the most simultaneously occurring critical portions of OR cases (Fig. 2).14 The hourly incidence of hypoxemic episodes was closely correlated to the PACU census (Fig. 3).32
More than 50% of the 24,146 hypoxemic episodes occurred >30 minutes after arrival (69.8% ± 0.05%, Fig. 4). Hypothesis 1 was rejected (P < 0.0001).
We repeated the analysis by using SpO2 thresholds of <85% and <80% to define hypoxemic episodes to evaluate the timing of more serious desaturation. There were 3803 hypoxemic episodes when the SpO2 hypoxemia threshold was <85%, with 45.1% ± 1.2% occurring <30 minutes after PACU arrival (P = 0.0001 to reject hypothesis 1). There were 1414 hypoxemic episodes when the SpO2 hypoxemia threshold was <80%, with 52.9% ± 1.5% occurring at <30 minutes after PACU arrival (P = 0.03 to accept hypothesis #1). Quantile-Quantile plots for the n = 80 proportions of desaturation occurring <30 minutes after PACU arrival were normally distributed for the thresholds tested.
We confirmed that our decision to use 30 minutes after PACU admission as the cut point for inferring presence of the transporting anesthesia provider and availability of the supervising anesthesiologist was appropriate because >99% of transporting providers had left the PACU by 30 minutes after entering the unit with their patients (Fig. 5, A and B).
Hypothesis 2: Resolution of PACU Hypoxemic Episodes and Comparison with Resolution of OR Hypoxemic Episodes
When all hypoxemic episodes were considered, hypoxemia remained unresolved at 3, 5, and 10 minutes after onset in 40.9% ± 0.6%, 32.6% ± 0.5%, and 26.3% ± 0.4% of episodes, respectively (Fig. 6A). The durations of continued hypoxemia were similar whether the episodes began <30 or ≥30 minutes after admission to the PACU (Fig. 6A, Table 2). More PACU hypoxemic episodes remained unresolved at 3 and 5 minutes than for our previously reported (99% upper confidence limit) values for similarly defined OR hypoxemic episodes (23% unresolved at 3 minutes, 9% unresolved at 5 minutes, both P < 0.0001).20 Even if the incidence of unresolved PACU hypoxemic episodes at 5 minutes were to be reduced by 50%, the hypoxemic episodes in the PACU resolved more slowly than episodes occurring in ORs (P < 0.0001). Hypothesis 2 (i.e., hypoxemia takes longer to resolve in the PACU than in the OR) was confirmed.
As a sensitivity analysis, when a single, random hypoxemic episode from each patient’s PACU admission was considered, hypoxemia remained unresolved 3, 5, and 10 minutes after onset of an episode in 37.3% ± 0.6%, 28.4% ± 0.5%, and 21.7% ± 0.4% of episodes, respectively (Fig. 6B), similar to when all hypoxemic episodes were considered.
Figure 7, A–D shows the results of another sensitivity analysis based on whether patients were paralyzed with an NDMB in the OR or an opioid in either the PACU or the OR (Table 3). For the n = 80 periods (paired), patients receiving an opioid in either the PACU or the OR (with or without an NDMB) had a greater incidence of hypoxemic episodes in the PACU than patients not receiving an opioid (11.64% ± 0.20% vs 7.69% ± 0.34%, P < 0.0001). Of the patients who received an opioid in either the OR or the PACU, there was a greater incidence of hypoxemia in those who received an NDMB versus patients not receiving an NDMB (13.12% ± 0.23% vs 7.30% ± 0.24%, P < 0.0001). Of the patients who did not receive an opioid in either the OR or the PACU, there was a greater incidence of hypoxemia in patients who received an NDMB versus patients not receiving an NDMB (9.57% ± 0.61% vs 6.73% ± 0.41%, P = 0.0004). We emphasize that these findings should not be construed as a causal relationship between use of these drugs and the incidence of hypoxemia in the PACU but do show that our results may be sensitive to our population’s incidence of use of opioid and NDMB (see Discussion).
Hypothesis 3: Temporal Distribution of Tracheal Intubation in the PACU
The incidence of tracheal intubation occurring while the patient was in the PACU among all PACU patients was 0.10% ± 0.01% (n = 111/111,456), not different from previous reports of 0.1% to 0.2% (Table 4).5–7 Reasons for intubation, as noted in the patient’s medical record, are listed in Table 4. Contrary to our hypothesis 3, among the 85 patients admitted to the PACU with a natural airway who were subsequently intubated, most intubations occurred ≥30 minutes after the patients arrived into the PACU (n = 53/85; 63%; 95% confidence interval, 51.2% to 72.6%; P = 0.029).
In this study, we demonstrate that most hypoxemic episodes (70%) and most PACU intubations (63%) occur ≥30 minutes after patients arrive in the PACU. We previously determined in a study of 31 hospitals that the median turnover time between cases was 30 minutes.19 Because it takes time for the anesthesia provider and/or anesthesiologist to see the next patient, verify paperwork, and transport the patient to the OR, it would be unusual for the provider who transported the previous patient still to be present in the PACU 30 minutes after arrival, and thus immediately available to manage these delayed occurrences. Thus, 30 minutes is a conservative interval, because typically the provider would have left before this time (Fig. 5, A and B). An implication of the high incidence of prolonged, unresolved hypoxemic episodes in the PACU at ≥30 minutes is that anesthesiologists need to consider potential requirements for their physical presence in the PACU when OR staffing and assignment decisions are made.7,8,14,15 The observation that the frequency of hypoxemic episodes in the PACU is directly related to the PACU census (Fig. 3) provides some guidance.
It is unclear whether PACU coverage by anesthesiologists would need to be planned if there were >1%, >5%, or >10% of hypoxemic episodes ≥30 minutes after PACU admission (see Introduction). Our finding that most (>50%) episodes of hypoxemia occurred ≥30 minutes after PACU admission includes all of these lower, reasonable, thresholds. That is, because >50% of the hypoxemic episodes occurred ≥30 minutes after patients arrived in the PACU, it is a mathematical consequence that any percentage that is lower than 50% also will occur ≥30 minutes after PACU arrival.
Our previous analysis of simultaneous critical portions of cases in ORs14 did not address the PACU directly, although we subsequently found15 a considerable number of pages originating from the PACU. Although many of these calls can likely be handled remotely (e.g., a brief phone call regarding the dose of insulin for an elevated blood glucose), intervention for treatment of hypoxemia may require physical presence. The time course of most PACU hypoxemic episodes overlaps with the second busiest interval in the OR for anesthesiologists, that being when there are both multiple second cases of the day starting and lunch breaks (Fig. 2).14–16 During this interval, 2 unrelated events overlap: the number of anesthesiologists available may be reduced as the result of cross-coverage during lunch relief, and the first “wave” of patients (from the first case starts) is in the PACU.14–16
A troubling result of our study is that 26.3% of hypoxemic episodes remained unresolved for as long as 10 minutes after their onset, in contrast to an ongoing incidence of <9% at 5 minutes when such episodes occur in the OR.20 Several factors may contribute to slower resolution of hypoxemia in the PACU than in the OR, including the higher airway skill levels of anesthesia providers versus PACU nurses, spontaneous ventilation versus controlled ventilation, and 1:1 provider to patient coverage in ORs versus typically 1:2 in the PACU.
Physical presence for diagnosis and treatment of hypoxemia may not require that an anesthesiologist arrives for initial management. The American Society of Anesthesiologists Standards for Postanesthesia Care make anesthesiologists responsible for “general medical supervision and coordination of patient care in the PACU” and mandate that anesthesiologists must “assure the availability in the facility of a physician capable for managing complications and providing cardiopulmonary resuscitation for patients in the PACU.”a At some hospitals, first response duties are delegated to a Certified Registered Nurse Anesthetist or an anesthesia resident; a respiratory therapist might also be included on the first responder team. Regardless, an anesthesiologist still needs to be immediately available for backup, if needed.
In the absence of an anesthesiologist assigned daily for dedicated PACU coverage, PACU nurses need to know who is available to respond to a call for assistance. Silent paging using visual displays dispersed throughout the OR suite,33 overhead paging, or blast pages to all anesthesiologists are options. If the practice has an anesthesia information management system, the level of activity in ORs can be determined in near real time,30,34 allowing an automated determination of anesthesiologists who are likely available. Anesthesia staffing and assignment decisions should be made to avoid situations in which all anesthesiologists are engaged in non-preemptive tasks, and thus no anesthesiologist is available to respond to an emergency in the PACU.
Our motivation for performing this study was to address staffing and assignment issues related to the timing of hypoxemic episodes in the PACU (Fig. 3). We performed several sensitivity analyses to evaluate qualitatively whether patients had received an opioid or an NDMB, thereby determining whether the findings were generalizable to other patient populations (Table 3, Fig. 7). Although the differences in the incidences of hypoxemia among subgroups were highly significant statistically, the values were clinically similar. Thus, PACU coverage to address hypoxemia needs to be ensured, regardless of the prevalence of use of opioids or paralytic drugs. By no means do these sensitivity analyses imply that opioids and NDMB are the only factors to which hypoxemia is related, nor that these are causal factors. Patients receiving NDMB but not opioids accounted for <5% of hypoxemic episodes. Furthermore, most hypoxemic episodes in the PACU occurred ≥30 minutes after patient arrival, suggesting also that these episodes were not primarily related to residual neuromuscular blockade. Studies published in the last 6 years in which quantitative assessment of residual blockade in the PACU was performed and its presence related to respiratory complications truncated their observation periods at ≤30 minutes.16–18 Our study results suggest that causal analyses of the impact of residual neuromuscular blockade on respiratory events should extend the evaluation of SpO2 beyond the first 30 minutes in the PACU, and also control for opioid use.
Our study has a number of limitations. First, this is a study of adult patients at a single busy academic hospital, and findings may not be broadly applicable. For example, we expect that findings would be quite different at an ambulatory surgery center. The observation, however, that the PACU intubation rate in this study was nearly identical to results published from several other institutions5–7 makes us more confident that the VUMC PACUs are fairly representative of general surgical practice in a mixed inpatient/outpatient adult setting. Other facilities can apply our results simply by determining the times of the day with the largest numbers of patients in the PACU (Fig. 2) because the numbers of hypoxemic episodes is proportional to the PACU census (Fig. 3). Our results should not be applied to pediatric populations because our study was restricted to adults.
Another limitation is that some of the hypoxic episodes identified might have been artifacts. Observation of the graphs of SpO2 versus time of randomly selected hypoxic episodes, however, gave us confidence that we were capturing real episodes (example in Fig. 1). Also, the requirement for at least 2 minutes of continuous desaturation, rather than a single value, made it less likely that we were greatly overidentifying hypoxemic episodes. Likely, many transient desaturations (e.g., Fig. 1, episodes 2 and 3) were real, not measurement artifacts, and simply responded quickly to interventions by the PACU nurses (e.g., telling the patient to take a deep breath, or replacing a disconnected oxygen mask or cannula). Direct observational studies would be needed to address this issue.
A third limitation is that we considered all episodes of hypoxemia meeting our criteria as equivalent, without characterizing them as mild, moderate, or severe. For example, from our Figure 1, one could infer fairly that episode 1, which occurred on PACU arrival and resulted in intubation, was more severe than episode 4. We are unaware, however, of any automated methods that can process free text and other medical record data to characterize hypoxemic episodes reliably, necessary for analyzing large datasets such as ours. Nonetheless, one cannot argue that hypoxemic episodes occurring later in the PACU course were less severe than episodes presenting relatively soon after PACU arrival, based on the finding that the timeline of intubation parallels that of the hypoxemic episodes.
A fourth limitation is that during the dataset interval at the studied hospital, an anesthesia resident was assigned each day to cover the PACUs and to respond to codes and airway emergencies outside the OR. During nonholiday weekdays, this resident primarily stayed in the main PACU; at other times, his or her typical physical location was variable. Such dedicated coverage of PACUs by a physician may not be provided at other facilities. The data available did not permit analysis of resident or anesthesiologist involvement in the treatment of the hypoxemic episodes in the PACU. Consequently, our results are conservative (i.e., may underestimate the incidence of hypoxemic episodes that would otherwise have occurred). There may have been preemptive treatment of minor degrees of desaturation (e.g., <1 minute below 90% in duration or prior to decreasing below 90%).
Finally, we limited consideration of anesthesiologists’ PACU workload to episodes of hypoxemia because these events frequently require the presence of an anesthesiologist for diagnosis and treatment. To the extent that other medical emergencies (e.g., severe hypertension, dysrhythmias) require the physical presence of the anesthesiologist for diagnosis and/or treatment, the need to ensure the availability of anesthesiologists to cover the PACU would be amplified. We were being conservative (i.e., deliberately underestimating the findings) by excluding other medical conditions that sometimes cannot be handled remotely.12,13
In conclusion, because most hypoxemic episodes and intubations in the PACU occur ≥30 minutes after PACU admission, and physical presence of the anesthesiologist may be required, potential PACU workload should be considered when anesthesiologist OR staffing and assignment decisions are made.
Dr. Franklin Dexter is the Statistical Editor and Section Editor for Economics, Education, and Policy for the Journal. This manuscript was handled by Dr. Sorin J. Brull, the Section Editor for Patient Safety, and Dr. Dexter was not involved in any way with the editorial process or decision.
Name: Richard H. Epstein, MD, CPHIMS.
Contribution: This author helped design the study, conduct the study, analyze the data, and write the manuscript. This author attests to the integrity of the original study data and data analysis reported in this manuscript and is the archival author.
Attestation: Richard H. Epstein has approved the final manuscript.
Conflicts of Interest: Richard H. Epstein is the president of Medical Data Applications, Ltd., which receives licensing fees from the University of Iowa for software used by the Department of Anesthesia’s Division of Management Consulting.
Name: Franklin Dexter, MD, PhD.
Contribution: This author helped design the study, conduct the study, analyze the data, and write the manuscript. This author attests to the integrity of the original study data and data analysis reported in this manuscript.
Attestation: Franklin Dexter has seen the original study data, reviewed the analysis of the data, and approved the final manuscript.
Conflicts of Interest: The Division of Management Consulting, Department of Anesthesia, University of Iowa, performs some of the analyses described in this article for hospitals. Franklin Dexter has tenure and receives no funds personally, including honoraria, other than his salary and allowable expense reimbursements from the University of Iowa. Income from the Division’s consulting work is used to fund research.
Name: Marcos G. Lopez, MD.
Contribution: This author helped conduct the study, analyze the data, and write the manuscript
Attestation: Marcos G. Lopez has seen the original study data, reviewed the analysis of the data, and approved the final manuscript.
Conflicts of Interest: This author has no conflicts of interest to declare.
Name: Jesse M. Ehrenfeld, MD, MPH.
Contribution: This author helped design the study and write the manuscript.
Attestation: Jesse M. Ehrenfeld has seen the original study data, reviewed the analysis of the data, and approved the final manuscript.
Conflicts of Interest: This author has no conflicts of interest to declare.
a American Society of Anesthesiologists. Standards for Postanesthesia Care. Available at http://www.asahq.org/For-Members/Standards-Guidelines-and-Statements.aspx. Accessed March 2, 2014.
1. Aukburg SJ, Ketikidis PH, Kitz DS, Mavrides TG, Matschinsky BB. Automation of physiologic data presentation and alarms in the post anesthesia care unit. Proc Annu Symp Comput Appl Med Care. 1989:8580–2
2. Moller JT, Wittrup M, Johansen SH. Hypoxemia in the postanesthesia care unit: an observer study. Anesthesiology. 1990;73:890–5
3. Daley MD, Norman PH, Colmenares ME, Sandler AN. Hypoxaemia in adults in the post-anaesthesia care unit. Can J Anaesth. 1991;38:740–6
4. Russell GB, Graybeal JM. Hypoxemic episodes of patients in a postanesthesia care unit. Chest. 1993;104:899–903
5. Mathew JP, Rosenbaum SH, O’Connor T, Barash PG. Emergency tracheal intubation in the postanesthesia care unit: physician error or patient disease? Anesth Analg. 1990;71:691–7
6. Rose DK, Cohen MM, Wigglesworth DF, DeBoer DP. Critical respiratory events in the postanesthesia care unit. Patient, surgical, and anesthetic factors. Anesthesiology. 1994;81:410–8
7. Lee PJ, MacLennan A, Naughton NN, O’Reilly M. An analysis of reintubations from a quality assurance database of 152,000 cases. J Clin Anesth. 2003;15:575–81
8. Dexter F, Epstein RH, Penning DH. Statistical analysis of postanesthesia care unit staffing at a surgical suite with frequent delays in admission from the operating room—a case study. Anesth Analg. 2001;92:947–9
9. Epstein RH, Dexter F, Traub RD. Statistical power analysis to estimate how many months of data are required to identify post anesthesia care unit staffing to minimize delays in admission from operating rooms. J Perinesth Nurs. 2001;17:84–8
10. Dexter F, Epstein RH, Marcon E, de Matta R. Strategies to reduce delays in admission into a postanesthesia care unit from operating rooms. J Perianesth Nurs. 2005;20:92–102
11. Dexter F, Wachtel RE, Epstein RH. Impact of average patient acuity on staffing of the phase I PACU. J Perianesth Nurs. 2006;21:303–10
12. Kapur PA. Leading into the future: the 50th annual Rovenstine lecture. Anesthesiology. 2012;116:758–67
13. Kapur PA. Designing the future: insights from current supervisory models. Anesth Analg. 2013;116:749–51
14. Epstein RH, Dexter F. Influence of supervision ratios by anesthesiologists on first-case starts and critical portions of anesthetics. Anesthesiology. 2012;116:683–91
15. Paoletti X, Marty J. Consequences of running more operating theatres than anaesthetists to staff them: a stochastic simulation study. Br J Anaesth. 2007;98:462–9
16. Dexter F, Epstein RH. Sensitivity of tests of hypotheses about supervision ratios and first-case starts to definitions and durations of critical portions of cases. Anesthesiology. 2012;117:438–41
17. Smallman B, Dexter F, Masursky D, Li F, Gorji R, George D, Epstein RH. Role of communication systems in coordinating supervising anesthesiologists’ activities outside of operating rooms. Anesth Analg. 2013;116:898–903
18. Murphy GS, Szokol JW, Marymont JH, Greenberg SB, Avram MJ, Vender JS. Residual neuromuscular blockade and critical respiratory events in the postanesthesia care unit. Anesth Analg. 2008;107:130–7
19. Murphy GS, Szokol JW, Marymont JH, Greenberg SB, Avram MJ, Vender JS, Nisman M. Intraoperative acceleromyographic monitoring reduces the risk of residual neuromuscular blockade and adverse respiratory events in the postanesthesia care unit. Anesthesiology. 2008;109:389–98
20. Cammu GV, Smet V, De Jongh K, Vandeput D. A prospective, observational study comparing postoperative residual curarisation and early adverse respiratory events in patients reversed with neostigmine or sugammadex or after apparent spontaneous recovery. Anaesth Intensive Care. 2012;40:999–1006
21. Dexter F, Epstein RH, Marcon E, Ledolter J. Estimating the incidence of prolonged turnover times and delays by time of day. Anesthesiology. 2005;102:1242–8
22. Epstein RH, Dexter F. Implications of resolved hypoxemia on the utility of desaturation alerts sent from an anesthesia decision support system to supervising anesthesiologists. Anesth Analg. 2012;115:929–33
23. Ehrenfeld JM, Funk LM, Van Schalkwyk J, Merry AF, Sandberg WS, Gawande A. The incidence of hypoxemia during surgery: evidence from two institutions. Can J Anaesth. 2010;57:888–97
24. Dexter F, Epstein RH, Marsh HM. Costs and risks of weekend anesthesia staffing at 6 independently managed surgical suites. AANA J. 2002;70:377–81
25. Dexter F, Epstein RH. Holiday and weekend operating room on-call staffing requirements. Anesth Analg. 2006;103:1494–8
26. van Oostrum JM, Van Houdenhoven M, Vrielink MM, Klein J, Hans EW, Klimek M, Wullink G, Steyerberg EW, Kazemier G. A simulation model for determining the optimal size of emergency teams on call in the operating room at night. Anesth Analg. 2008;107:1655–62
27. Ledolter J, Dexter F, Epstein RH. Analysis of variance of communication latencies in anesthesia: comparing means of multiple log-normal distributions. Anesth Analg. 2011;113:888–96
28. Law AM, Kelton WD Simulation Modeling and Analysis. 19912nd ed New York, NY McGraw-Hill, Inc.:551–3
29. Dexter F, Marcon E, Epstein RH, Ledolter J. Validation of statistical methods to compare cancellation rates on the day of surgery. Anesth Analg. 2005;101:465–73
30. Clopper CJ, Pearson ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934;26:404–13
31. Hahn GJ, Meeker WQ Statistical Intervals. A Guide for Practitioners. 1991 New York, NY Wiley:82–4
32. Ehrenfeld JM, Dexter F, Rothman BS, Minton BS, Johnson D, Sandberg WS, Epstein RH. Lack of utility of a decision support system to mitigate delays in admission from the operating room to the postanesthesia care unit. Anesth Analg. 2013;117:1444–52
33. Weingarten TN, Abenstein JP, Dutton CH, Kohn MA, Lee EA, Mullenbach TE, Narr BJ, Schroeder DR, Sprung J. Characteristics of emergency pages using a computer-based anesthesiology paging system in children and adults undergoing procedures at a tertiary care medical center. Anesth Analg. 2013;116:904–10
34. Epstein RH, Dexter F. Mediated interruptions of anaesthesia providers using predictions of workload from anaesthesia information management system data. Anaesth Intensive Care. 2012;40:803–12