Summary Background Although the extent of hospital and intensive-care use at the end of life is well known, patterns of surgical care during this period are poorly understood. We examined national ...patterns of surgical care in the USA among elderly fee-for-service Medicare beneficiaries in their last year of life. Methods We did a retrospective cohort study of elderly beneficiaries of fee-for-service Medicare in the USA, aged 65 years or older, who died in 2008. We identified claims for inpatient surgical procedures in the year before death and examined the relation between receipt of an inpatient procedure and both age and geographical region. We calculated an end-of-life surgical intensity (EOLSI) score for each hospital referral region defined as proportion of decedents who underwent a surgical procedure during the year before their death, adjusted for age, sex, race, and income. We compared patient characteristics with Rao-Scott χ2 tests, resource use with generalised estimating equations, regional differences with generalised estimating equations Wald tests, and end-of-life surgical intensity scores with Spearman's partial-rank-order correlation coefficients. Findings Of 1 802 029 elderly beneficiaries of fee-for-service Medicare who died in 2008, 31·9% (95% CI 31·9–32·0; 575 596 of 1 802 029) underwent an inpatient surgical procedure during the year before death, 18·3% (18·2–18·4; 329 771 of 1 802 029) underwent a procedure in their last month of life, and 8·0% (8·0–8·1; 144 162 of 1 802 029) underwent a procedure during their last week of life. Between the ages of 80 and 90 years, the percentage of decedents undergoing a surgical procedure in the last year of life decreased by 33% (35·3% 95% CI 34·7–35·9; 8858 of 25 094 to 23·6% 22·9–24·3; 3340 of 14 152). EOLSI score in the highest intensity region (Munster, IN) was 34·4 (95% CI 33·7–35·1) and in the lowest intensity region (Honolulu, HI) was 11·5 (11·3–11·7). Regions with a high number of hospital beds per head had high end-of-life surgical intensity (r=0·37, 95% CI 0·27–0·46; p<0·0001), as did regions with high total Medicare spending (r=0·50, 0·41–0·58; p<0·0001). Interpretation Many elderly people in the USA undergo surgery in the year before their death. The rate at which they undergo surgery varies substantially with age and region and might suggest discretion in health-care providers' decisions to intervene surgically at the end of life. Funding None.
BACKGROUND:The American College of Surgeons and the American Geriatrics Society have suggested that preoperative cognitive screening should be performed in older surgical patients. We hypothesized ...that unrecognized cognitive impairment in patients without a history of dementia is a risk factor for development of postoperative complications.
METHODS:We enrolled 211 patients 65 yr of age or older without a diagnosis of dementia who were scheduled for an elective hip or knee replacement. Patients were cognitively screened preoperatively using the Mini-Cog and demographic, medical, functional, and emotional/social data were gathered using standard instruments or review of the medical record. Outcomes included discharge to place other than home (primary outcome), delirium, in-hospital medical complications, hospital length-of-stay, 30-day emergency room visits, and mortality. Data were analyzed using univariate and multivariate analyses.
RESULTS:Fifty of 211 (24%) patients screened positive for probable cognitive impairment (Mini-Cog less than or equal to 2). On age-adjusted multivariate analysis, patients with a Mini-Cog score less than or equal to 2 were more likely to be discharged to a place other than home (67% vs. 34%; odds ratio = 3.88, 95% CI = 1.58 to 9.55), develop postoperative delirium (21% vs. 7%; odds ratio = 4.52, 95% CI = 1.30 to 15.68), and have a longer hospital length of stay (hazard ratio = 0.63, 95% CI = 0.42 to 0.95) compared to those with a Mini-Cog score greater than 2.
CONCLUSIONS:Many older elective orthopedic surgical patients have probable cognitive impairment preoperatively. Such impairment is associated with development of delirium postoperatively, a longer hospital stay, and lower likelihood of going home upon hospital discharge.
In this study, the authors designed checklists to guide care during operating-room crises and evaluated them in a simulated operating room. The availability of checklists improved adherence to best ...practices by operating-room teams during simulations of surgical crises.
Operating-room crises (e.g., massive hemorrhage and cardiac arrest) are high-risk, stressful events that require rapid and coordinated care in a time-critical setting. The reported incidence may be rare for an individual practitioner,
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but the aggregate incidence for a hospital with 10,000 operations a year is estimated to be approximately 145 such events annually.
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These are situations in which the way the team cares for a patient will make the difference between life and death. Failure to effectively manage life-threatening complications in surgical patients has been recognized as the largest source of variation in surgical mortality among hospitals.
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Small-scale studies . . .
BACKGROUND:Frailty and cognitive impairment are associated with postoperative delirium, but are rarely assessed preoperatively. The study was designed to test the hypothesis that preoperative ...screening for frailty or cognitive impairment identifies patients at risk for postoperative delirium (primary outcome).
METHODS:In this prospective cohort study, the authors administered frailty and cognitive screening instruments to 229 patients greater than or equal to 70 yr old presenting for elective spine surgery. Screening for frailty (five-item FRAIL scale measuring fatigue, resistance, ambulation, illness, and weight loss) and cognition (Mini-Cog, Animal Verbal Fluency) were performed at the time of the preoperative evaluation. Demographic data, perioperative variables, and postoperative outcomes were gathered. Delirium was the primary outcome detected by either the Confusion Assessment Method, assessed daily from postoperative day 1 to 3 or until discharge, if patient was discharged sooner, or comprehensive chart review. Secondary outcomes were all other-cause complications, discharge not to home, and hospital length of stay.
RESULTS:The cohort was 75 73 to 79 yr years of age, 124 of 219 (57%) were male. Many scored positive for prefrailty (117 of 218; 54%), frailty (53 of 218; 24%), and cognitive impairment (50 to 82 of 219; 23 to 37%). Fifty-five patients (25%) developed delirium postoperatively. On multivariable analysis, frailty (scores 3 to 5 odds ratio, 6.6; 95% CI, 1.96 to 21.9; P = 0.002) versus robust (score 0) on the FRAIL scale, lower animal fluency scores (odds ratio, 1.08; 95% CI, 1.01 to 1.51; P = 0.036) for each point decrease in the number of animals named, and more invasive surgical procedures (odds ratio, 2.69; 95% CI, 1.31 to 5.50; P = 0.007) versus less invasive procedures were associated with postoperative delirium.
CONCLUSIONS:Screening for frailty and cognitive impairment preoperatively using the FRAIL scale and the Animal Verbal Fluency test in older elective spine surgery patients identifies those at high risk for the development of postoperative delirium.
Background Because operating room crises are rare events, failure to adhere to critical management steps is common. We sought to develop and pilot a tool to improve adherence to lifesaving measures ...during operating room crises. Study Design We identified 12 of the most frequently occurring operating room crises and corresponding evidence-based metrics of essential care for each (46 total process measures). We developed checklists for each crisis based on a previously defined method, which included literature review, multidisciplinary expert consultation, and simulation. After development, 2 operating room teams (11 participants) were each exposed to 8 simulations with random assignment to checklist use or working from memory alone. Each team managed 4 simulations with a checklist available and 4 without. One of the primary outcomes measured through video review was failure to adhere to essential processes of care. Participants were surveyed for perceptions of checklist use and realism of the scenarios. Results Checklist use resulted in a 6-fold reduction in failure of adherence to critical steps in management for 8 scenarios with 2 pilot teams. These results held in multivariate analysis accounting for clustering within teams and adjusting for learning or fatigue effects (11 of 46 failures without the checklist vs 2 of 46 failures with the checklist; adjusted relative risk = 0.15, 95% CI, 0.04–0.60; p = 0.007). All participants rated the overall quality of the checklists and scenarios to be higher than average or excellent. Conclusions Checklist use can improve safety and management in operating room crises. These findings warrant broader evaluation, including in clinical settings.
Perioperative care in the United States is largely based on current fee-for-service models. Fee-for-service models are not based on the true cost of services provided, charges do not equal costs, and ...reimbursement varies based on insurer. Value-based health care is defined as patient-centered outcomes over cost of providing these services. Process mapping and time-driven activity-based costing can be used to define actual cost of services provided. Outcomes after discharge can be measured, so that the overall value of care provided can be assessed and improved based on the outcomes and costs identified.
BACKGROUND:Preexisting cognitive impairment is emerging as a predictor of poor postoperative outcomes in seniors. We hypothesized that preoperative cognitive screening can be performed in a busy ...preadmission evaluation center and that cognitive impairment is prevalent in elective geriatric surgical patients.
METHODS:We approached 311 patients aged 65 years and older presenting for preoperative evaluation before elective surgery in a prospective, observational, single-center study. Forty-eight patients were ineligible, and 63 declined. The remaining 200 were randomly assigned to the Mini-Cog (N =100) or Clock-in-the-Box CIB; N = 100) test. Study staff administered the test in a quiet room, and 2 investigators scored the tests independently. Probable cognitive impairment was defined as a Mini-Cog ≤ 2 or a CIB ≤ 5.
RESULTS:The age of consenting patients was 73.7 ± 6.4 (mean ± SD) years. There were no significant differences between patients randomly assigned to the Mini-Cog and CIB test in age, weight, gender, education, ASA physical status, or Charlston Index. Overall, 23% of patients met criteria for probable cognitive impairment, and prevalence was virtually identical regardless of the test used; 22% screened with the Mini-Cog and 23% screened with the CIB scored as having probable cognitive impairment (P = 1.0 by χ analysis). Both tests had good interrater reliability (Krippendroff α = 0.86 0.72–0.93 for Mini-Cog and 1 for CIB).
CONCLUSIONS:Preoperative cognitive screening is feasible in most geriatric elective surgical patients and reveals a substantial prevalence of probable cognitive impairment in this population.
Frailty is associated with increased 30-day mortality and non-home discharge following perioperative cardiac arrest. We estimated the predictive accuracy of frailty when added to baseline risk ...prediction models.
In this retrospective cohort study using 2015–2020 NSQIP data for 3048 patients aged 50+ undergoing non-cardiac surgery and resuscitation on post-operative day 0 (i.e., intraoperatively or postoperatively on the day of surgery), baseline models including age, sex, ASA physical status, preoperative sepsis or septic shock, and emergent surgery were compared to models that added frailty indices, either RAI or mFI-5, to predict 30-day mortality and non-home discharge. Predictive accuracy was characterized by area under the receiver operating characteristic curve (AUC-ROC), integrated calibration index (ICI), and continuous net reclassification index (NRI).
1786 patients (58.6%) died in the study cohort within 30 days, and 38.6% of eligible patients experienced non-home discharge. The baseline model showed good discrimination (AUC-ROC 0.77 for 30-day mortality and 0.74 for non-home discharge). AUC-ROC and ICI did not significantly change after adding frailty for 30-day mortality or non-home discharge. Adding RAI significantly improved NRI for 30-day mortality and non-home discharge; however, the magnitude was small and difficult to interpret, given other results including false positive and negative rates showing no difference in predictive accuracy.
Incorporating frailty did not significantly improve predictive accuracy of models for 30-day mortality and non-home discharge following perioperative resuscitation. Thus, demonstrated associations between frailty and outcomes of perioperative resuscitation may not translate into improved predictive accuracy. When engaging patients in shared decision-making regarding do-not-resuscitate orders perioperatively, providers should acknowledge uncertainty in anticipating resuscitation outcomes.
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