Martin, David P.

BACKGROUND: Residual deep sedation during anesthesia recovery may predict postoperative complications. We examined the incidence and risk factors for deep sedation after general anesthesia. METHODS: We retrospectively reviewed health records of adults who underwent procedures with general anesthesia and were admitted to the postanesthesia care unit from May 2018 to December 2020. Patients were dichotomized by Richmond Agitation-Sedation Scale (RASS) score: ≤−4 (deeply sedated/unarousable) or ≥−3 (not deeply sedated). Anesthesia risk factors for deep sedation were assessed with multivariable logistic regression. RESULTS: Of the 56,275 patients included, 2003 had a RASS ≤−4 (35.6 [95% CI, 34.1–37.2] cases per 1000 anesthetics administered). On adjusted analyses, the likelihood of a RASS ≤−4 increased when more soluble halogenated anesthetics were used. Compared with desflurane without propofol, the odds ratio (OR [95% CI]) for a RASS ≤−4 was higher with sevoflurane (1.85 [1.45–2.37]) and isoflurane (4.21 [3.29–5.38]) without propofol. Compared with desflurane without propofol, the odds of a RASS ≤−4 further increased with use of desflurane-propofol (2.61 [1.99–3.42]), sevoflurane-propofol (4.20 [3.28–5.39]), isoflurane-propofol (6.39 [4.90–8.34]), and total intravenous anesthesia (2.98 [2.22–3.98]). A RASS ≤−4 was also more likely with the use of dexmedetomidine (2.47 [2.10–2.89]), gabapentinoids (2.17 [1.90–2.48]), and midazolam (1.34 [1.21–1.49]). Deeply sedated patients discharged to general care wards had higher odds of opioid-induced respiratory complications (2.59 [1.32–5.10]) and higher odds of naloxone administration (2.93 [1.42–6.03]). CONCLUSIONS: Likelihood of deep sedation after recovery increased with intraoperative use of halogenated agents with higher solubility and increased further when propofol was concomitantly used. Patients who experience deep sedation during anesthesia recovery have an increased risk of opioid-induced respiratory complications on general care wards. These findings may be useful for tailoring anesthetic management to reduce postoperative oversedation.

AbstractBackgroundHospitalization in older age is associated with accelerated cognitive decline, typically preceded by neuropathologic changes. We assess the association between indication for hospitalization and brain neurodegeneration.MethodsIncluded were participants from the Mayo Clinic Study of Aging, a population-based longitudinal study, with ≥1 brain imaging available in those older than 60 years of age between 2004 and 2017. Primary analyses used linear mixed-effects models to assess association of hospitalization with changes in longitudinal trajectory of cortical thinning, amyloid accumulation, and white matter hyperintensities (WMH). Additional analyses were performed with imaging outcomes dichotomized (normal vs abnormal) using Cox proportional hazards regression.ResultsOf 2 480 participants, 1 966 had no hospitalization and 514 had ≥1 admission. Hospitalization was associated with accelerated cortical thinning (annual slope change −0.003 mm [95% confidence interval (CI) −0.005 to −0.001], p = .002), but not amyloid accumulation (0.003 [95% CI −0.001 to 0.006], p = .107), or WMH increase (0.011 cm3 [95% CI −0.001 to 0.023], p = .062). Interaction analyses assessing whether trajectory changes are dependent on admission type (medical vs surgical) found interactions for all outcomes. While surgical hospitalizations were not, medical hospitalizations were associated with accelerated cortical thinning (−0.004 mm [95% CI −0.008 to −0.001, p = .014); amyloid accumulation (0.010, [95% CI 0.002 to 0.017, p = .011), and WMH increase (0.035 cm3 [95% CI 0.012 to 0.058, p = .006). Hospitalization was not associated with developing abnormal cortical thinning (p = .407), amyloid accumulation (p = .596), or WMH/infarctions score (p = .565).ConclusionsMedical hospitalizations were associated with accelerated cortical thinning, amyloid accumulation, and WMH increases. These changes were modest and did not translate to increased risk for crossing the abnormality threshold.

Abstract Background Hospitalization can impair physical and functional status of older adults, but it is unclear whether these deficits are transient or chronic. This study determined the association between hospitalization of older adults and changes in long-term longitudinal trajectories of 2 measures of physical and functional status: gait speed (GS) and instrumental activities of daily living measured with Functional Activities Questionnaire (FAQ). Method Linear mixed-effects models assessed the association between hospitalization (nonelective vs elective, and surgical vs medical) and outcomes of GS and FAQ score in participants (older than 60 years) enrolled in the Mayo Clinic Study of Aging who had longitudinal assessments. Results Of 4902 participants, 1879 had ≥1 hospital admission. Median GS at enrollment was 1.1 m/s. The slope of the annual decline in GS before hospitalization was −0.015 m/s. The parameter estimate (95% CI) for additional annual change in GS trajectory after hospitalization was −0.009 (−0.011 to −0.006) m/s, p < .001. The accelerated GS decline was greater for medical versus surgical hospitalizations (−0.010 vs −0.003 m/s, p = .005), and nonelective versus elective hospitalizations (−0.011 vs −0.006 m/s, p = .067). The odds of a worsening FAQ score increased on average by 4% per year. Following hospitalization, odds of FAQ score worsening further increased (multiplicative annual increase in odds ratio per year [95% CI] following hospitalization was 1.05 [1.03, 1.07], p < .001). Conclusions Hospitalization of older adults is associated with accelerated long-term decline in GS and functional limitations, especially after nonelective admissions and those for medical indications. However, for most well-functioning participants, these changes have little clinical significance.

IMPORTANCE Hospitalizations are associated with cognitive decline in older adults. OBJECTIVE To determine the association between hospitalization characteristics and the trajectory of cognitive function in older adults. DESIGN Population‐based longitudinal study of cognitive aging. SETTING Olmsted Medical Center and Mayo Clinic, the only centers in Olmsted County, Minnesota, with hospitalization capacity. PARTICIPANTS Individuals without dementia at baseline, with consecutive cognitive assessments from 2004 through 2017, and at least one visit after the age of 60. MEASUREMENTS The primary outcome was longitudinal changes in global cognitive z ‐score. Secondary outcomes were changes in four cognitive domains: memory, attention/executive function, language, and visuospatial skills. Hospitalization characteristics analyzed included elective versus nonelective, medical versus surgical, critical care versus no critical care admission, and long versus short duration admissions. RESULTS Of 4,587 participants, 1,622 had 1 and more hospital admission. Before hospitalization, the average slope of the global z ‐score was −0.031 units/year. After hospitalization, the rate of annual global z ‐score accelerated by −0.051 (95% CI = −0.057, −0.045) units, P < .001, resulting in an estimated annual slope after the first hospitalization of −0.082. The accelerated decline was found in all four cognitive domains (memory, visuospatial, language, and executive, all P < .001). The acceleration of the decline in global z ‐score following hospitalization was greater for medical compared to surgical hospitalizations (slope change following hospitalization = −0.064 vs −0.034 for medical vs surgical, P < .001), and nonelective compared to elective admissions (slope change following hospitalization = −0.075 vs −0.037 for nonelective vs elective, P < .001). The acceleration of cognitive decline was not different for hospitalization with intensive care unit admission versus not. CONCLUSIONS Hospitalization of older adults is associated with accelerated decline of global and domain‐specific cognitive domains, with the rate of decline dependent upon type of admission. The clinical impact of this accelerated decline will depend on the individual's baseline cognitive reserve and expected longevity.

Postoperative delirium (POD) is common among surgical patients admitted to the intensive care unit (ICU) and is associated with increased resource utilization, morbidity, and death. Our primary aim was to compare rates of POD using administrative International Classification of Diseases, Ninth Revision, records and automated interrogation of electronic health records from Confusion Assessment Method for the ICU (CAM-ICU) screening. The secondary aim was to assess POD risk associated with patient and perioperative characteristics. Electronic health records of surgical patients admitted to the ICU during 2011 through 2014 were abstracted for POD assessment by CAM-ICU and by administrative codes, Charlson comorbidity index, surgical characteristics, and Acute Physiology, Age, Chronic Health Evaluation III scores. Of 6338 patients, CAM-ICU identified 606 (9.6%) and administrative records identified 55 (0.9%) POD cases, with agreement on 50 cases. In multivariable logistic regression based on POD identified with CAM-ICU, preexisting dementia had the strongest association with POD (odds ratio [95% confidence interval], 6.47 [3.68–11.37]; P < 0.001). Other associations found were older age, congestive heart failure, chronic pulmonary disease, increased surgical duration, emergency cases, blood transfusions, postoperative ventilation, and higher Acute Physiology, Age, Chronic Health Evaluation III scores (all P ≤ 0.01). POD cases had lengthier ICU and hospital stays and a higher mortality rate (all P < 0.001). CAM-ICU scores identified higher rates of POD than a search for POD based on administrative codes. Preoperative presence of dementia and major comorbidities were associated with POD. Delirium in surgical patients is associated with worse outcomes.

BACKGROUND: We evaluated the hypothesis that the rate of postoperative decline in global cognition is greater in older adults exposed to general anesthesia with nitrous oxide (N 2 O) compared to general anesthesia without N 2 O. METHODS: Longitudinal measures of cognitive function were analyzed in nondemented adults, 70–91 years of age, enrolled in the Mayo Clinic Study of Aging. Linear mixed-effects models with time-varying covariates assessed the relationship between exposure to surgery with general anesthesia (surgery/GA) with or without N 2 O and the rate of long-term cognitive changes. Global cognition and domain-specific cognitive outcomes were defined using z scores, which measure how far an observation is, in standard deviations, from the unimpaired population mean. RESULTS: The analysis included 1819 participants: 280 exposed to GA without N 2 O following enrollment and before censoring during follow-up (median [interquartile range {IQR}] follow-up of 5.4 [3.9–7.9] years); 256 exposed to GA with N 2 O (follow-up 5.6 [4.0–7.9] years); and 1283 not exposed to surgery/GA (follow-up 4.1 [2.5–6.4] years). The slope of the global cognitive z score was significantly more negative following exposure to surgery/GA after enrollment (change in slope of −0.062 [95% confidence interval {CI}, −0.085 to −0.039] for GA without N 2 O, and −0.058 [95% CI, −0.080 to −0.035] for GA with N 2 O, both P < .001). The change in slope following exposure to surgery/GA did not differ between those exposed to anesthesia without versus with N 2 O (estimated difference −0.004 [95% CI, −0.035 to 0.026], P = .783). CONCLUSIONS: Exposure to surgery/GA is associated with a small, but statistically significant decline in cognitive z scores. Cognitive decline did not differ between anesthetics with and without N 2 O. This finding provides evidence that the use of N 2 O in older adults does not need to be avoided because of concerns related to decline in cognition.

AbstractIntroductionOur aim was to examine whether surgery with regional anesthesia (RA) is associated with accelerated long‐term cognitive decline comparable with that previously reported after general anesthesia (GA).MethodsLongitudinal cognitive function was analyzed in a cohort of 1819 older adults. Models assessed the rate of change in global and domain‐specific cognition over time in participants exposed to RA or GA.ResultsWhen compared with those unexposed to anesthesia, the postoperative rate of change of the cognitive global z‐score was greater in those exposed to both RA (difference in annual decline of −0.041, P = .011) and GA (−0.061, P < .001); these rates did not differ. In analysis of the domain‐specific scores, an accelerated decline in memory was observed after GA (−0.065, P < .001) but not RA (−0.011, P = .565).ConclusionsOlder adults undergoing surgery with RA experience decline of global cognition similar to those receiving GA; however, memory was not affected.

Objectives: Patients requiring admission to an ICU may subsequently experience cognitive decline. Our objective was to investigate longitudinal cognitive trajectories in older adults hospitalized in ICUs. We hypothesized that individuals hospitalized for critical illness develop greater cognitive decline compared with those who do not require ICU admission. Design: A retrospective cohort study using prospectively collected cognitive scores of participants enrolled in the Mayo Clinic Study of Aging and ICU admissions retrospectively ascertained from electronic medical records. A covariate-adjusted linear mixed effects model with random intercepts and slopes assessed the relationship between ICU admissions and the slope of global cognitive z scores and domains scores (memory, attention/executive, visuospatial, and language). Setting: ICU admissions and cognitive scores in the Mayo Clinic Study of Aging from October 1, 2004, to September 11, 2017. Patients: Nondemented participants age 50 through 91 at enrollment in the Mayo Clinic Study of Aging with an initial cognitive assessment and at least one follow-up visit. Interventions: None. Measurements and Main Results: Of 3,673 participants, 372 had at least one ICU admission with median (25–75th percentile) follow-up after first ICU admission of 2.5 years (1.2–4.4 yr). For global cognitive z score, admission to an ICU was associated with greater decline in scores over time compared with participants not requiring ICU admission (difference in annual slope = –0.028; 95% CI, –0.044 to –0.012; p < 0.001). ICU admission was associated with greater declines in memory (–0.029; 95% CI, –0.047 to –0.011; p = 0.002), attention/executive (–0.020; 95% CI, –0.037 to –0.004; p = 0.016), and visuospatial (–0.013; 95% CI, –0.026 to –0.001; p = 0.041) domains. ICU admissions with delirium were associated with greater declines in memory (interaction p = 0.006) and language (interaction p = 0.002) domains than ICU admissions without delirium. Conclusions: In older adults, ICU admission was associated with greater long-term cognitive decline compared with patients without ICU admission. These findings were more pronounced in those who develop delirium while in the ICU.

BACKGROUND: Previous studies of postoperative corneal injury rates relied on provider-initiated incident reports, which may underestimate the true incidence. Postoperative administration of proparacaine eye drops is used almost exclusively to diagnose corneal injury; therefore, identifying instances of administration may provide a better estimate of corneal injuries. We compared proparacaine administration versus provider-initiated reports to determine rates of corneal injury. In addition, potential associations between clinical variables and injury were assessed with a matched case–control study. METHODS: The health records of 132,511 sequential adult postanesthesia recovery room admissions (January 1, 2011 to June 30, 2017) were reviewed to identify postoperative proparacaine administration and incident reports of corneal injury. Patients with corneal injury were matched with control patients at a 1:2 ratio to assess factors associated with injury. RESULTS: Proparacaine drops were administered to 442 patients (425 patients received proparacaine for diagnosis and 17 patients received proparacaine for unrelated reasons). Incident reports identified 320 injuries, and the aggregate corneal injury count was 436 (incidence, 3.3 injuries [95% confidence interval {CI}, 3.0–3.6] per 1000 cases of general anesthesia). Proparacaine administration had a greater case ascertainment percentage than incident reporting (97.5% vs 73.4%; P < .001). The matched case–control analysis found greater risks associated with longer duration of anesthesia (odds ratio, 1.05 [95% CI, 1.03–1.07] per 10 minutes of anesthesia; P < .001) and nonsupine surgical position (odds ratio, 3.89 [95% CI, 2.17–6.98]; P < .001). Patients with injuries also had more evidence of sedation and agitation during anesthesia recovery. CONCLUSIONS: Calculation of incidence by using the administration of a medication (proparacaine eye drops) that is almost exclusively used to diagnose a specific injury (corneal injury) showed higher case ascertainment percentage than incident-reporting methods. Similar strategies could be used to monitor the rates of other adverse events.

BACKGROUND: The use of cognitive aids, such as emergency manuals (EMs), improves team performance on critical steps during crisis events. In our large academic anesthesia practice, we sought to broadly implement an EM and subsequently evaluate team member performance on critical steps. METHODS: We observed the phases of implementing an EM at a large academic anesthesia practice from 2013 to 2016, including the formation of the EM implementation team, identification of preferred EM characteristics, consideration of institution-specific factors, selection of the preferred EM, recognition of logistical barriers, and staff education. Utilization of the EM was tested in a regular clinical environment with all available resources using a standardized verbal simulation of 3 crisis events both preimplementation and 6 months postimplementation. Individual members of the anesthesia team were asked to verbalize interventions for specific crisis events over 60 seconds. RESULTS: We introduced a customized version of the Stanford Emergency Manual on January 26, 2015. Fifty-nine total participants (equal proportion of anesthesiology attending physicians, resident physicians, certified registered nurse anesthetists, and student registered nurse anesthetist staff) were surveyed in the preimplementation phase and 60 in the 6-month postimplementation phase. In the postimplementation phase, a minority (41.7%) utilized the EM for the verbal-simulated crisis events. Those who used the EM performed better than those who did not (median 21.0 critical steps out of a possible 30 total steps [70.0%], interquartile range 19–25 vs 18.0 critical steps verbalized [60.0%], interquartile range 16–20; P < .001). Among all subjects, the median number of critical steps verbalized was 16 (53.3%) preimplementation and 19.5 critical steps (65.0%) postimplementation. CONCLUSIONS: Implementation of an EM in a large academic anesthesia practice is not without challenges. While full integration of the EM was not achieved 6 months after implementation, verbalization of critical steps on 3 simulated crisis events improved when the EM was utilized.