Protocol for the Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) study: a pragmatic, randomised clinical trial

T S Wildes, A C Winter, H R Maybrier, A M Mickle, E J Lenze, S Stark, N Lin, S K Inouye, E M Schmitt, S L McKinnon, M R Muench, M R Murphy, R T Upadhyayula, B A Fritz, K E Escallier, G P Apakama, D A Emmert, T J Graetz, T W Stevens, B J Palanca, R Hueneke, S Melby, B Torres, J M Leung, E Jacobsohn, M S Avidan, T S Wildes, A C Winter, H R Maybrier, A M Mickle, E J Lenze, S Stark, N Lin, S K Inouye, E M Schmitt, S L McKinnon, M R Muench, M R Murphy, R T Upadhyayula, B A Fritz, K E Escallier, G P Apakama, D A Emmert, T J Graetz, T W Stevens, B J Palanca, R Hueneke, S Melby, B Torres, J M Leung, E Jacobsohn, M S Avidan

Abstract

Introduction: Postoperative delirium, arbitrarily defined as occurring within 5 days of surgery, affects up to 50% of patients older than 60 after a major operation. This geriatric syndrome is associated with longer intensive care unit and hospital stay, readmission, persistent cognitive deterioration and mortality. No effective preventive methods have been identified, but preliminary evidence suggests that EEG monitoring during general anaesthesia, by facilitating reduced anaesthetic exposure and EEG suppression, might decrease incident postoperative delirium. This study hypothesises that EEG-guidance of anaesthetic administration prevents postoperative delirium and downstream sequelae, including falls and decreased quality of life.

Methods and analysis: This is a 1232 patient, block-randomised, double-blinded, comparative effectiveness trial. Patients older than 60, undergoing volatile agent-based general anaesthesia for major surgery, are eligible. Patients are randomised to 1 of 2 anaesthetic approaches. One group receives general anaesthesia with clinicians blinded to EEG monitoring. The other group receives EEG-guidance of anaesthetic agent administration. The outcomes of postoperative delirium (≤5 days), falls at 1 and 12 months and health-related quality of life at 1 and 12 months will be compared between groups. Postoperative delirium is assessed with the confusion assessment method, falls with ProFaNE consensus questions and quality of life with the Veteran's RAND 12-item Health Survey. The intention-to-treat principle will be followed for all analyses. Differences between groups will be presented with 95% CIs and will be considered statistically significant at a two-sided p<0.05.

Ethics and dissemination: Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) is approved by the ethics board at Washington University. Recruitment began in January 2015. Dissemination plans include presentations at scientific conferences, scientific publications, internet-based educational materials and mass media.

Trial registration number: NCT02241655; Pre-results.

Keywords: ANAESTHETICS; EDUCATION & TRAINING (see Medical Education & Training); GERIATRIC MEDICINE.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Figures

Figure 1
Figure 1
Stylized common EEG patterns from frontal EEG channel seen with progressively increasing anaesthetic depth. BIS, bispectral index.
Figure 2
Figure 2
Flow diagram showing design overview for ENGAGES study.
Figure 3
Figure 3
Flow of participants.
Figure 4
Figure 4
The anaesthesia monitor is configured for the EEG-guided arm such that the raw EEG waveform as well as the non-proprietary numerical values are displayed by the monitor, including the burst suppression ratio (SR) and the spectral edge frequency (SEF). The EEG filter is turned off so the low frequency slow delta waves (with a frequency of about 0.5 Hz) are clearly visible. Turning off the filter allows EEG waves ≤2 Hz to be seen. The filter is a bandpass filter from 2 to 70 Hz with a notch to eliminate 60 Hz alternating current electrical noise. With the filter off, the system has a bandwidth of ∼0.25– 100 Hz.
Figure 5
Figure 5
The anaesthesia monitor is configured for the control arm such that all the EEG and BIS parameters are hidden, and only the signal quality index (SQI) of the EEG montage is visible.
Figure 6
Figure 6
The design elements of the ENGAGES trial that tend to be pragmatic (markers placed towards the periphery) and elements that tend to be explanatory (markers placed towards the centre). This figure was generated from a median determination for each criterion (using a 1 to 5 ordinal scale from explanatory to pragmatic) from 18 independent raters on the study team. Aside from the intensity of patient follow-up and the expertise needed to deliver the EEG-guided protocol, the ENGAGES study fulfils the criteria for a pragmatic clinical trial.
Figure 7
Figure 7
ENGAGES trial organization.

References

    1. Projected Future Growth of the Older Population. – age (accessed 18 Jan 2014).
    1. Inpatient Surgery. (accessed 18 Jan 2014).
    1. Whitlock EL, Vannucci A, Avidan MS. Postoperative delirium. Minerva Anestesiol 2011;77:448–56.
    1. European Delirium Association; American Delirium Society. The DSM-5 criteria, level of arousal and delirium diagnosis: inclusiveness is safer. BMC Med 2014;12:141.
    1. Inouye SK. Delirium in older persons. N Engl J Med 2006;354:1157–65. 10.1056/NEJMra052321
    1. Leslie DL, Marcantonio ER, Zhang Y et al. . One-year health care costs associated with delirium in the elderly population. Arch Intern Med 2008;168:27–32. 10.1001/archinternmed.2007.4
    1. Gottesman RF, Grega MA, Bailey MM et al. . Delirium after coronary artery bypass graft surgery and late mortality. Ann Neurol 2010;67:338–44. 10.1002/ana.21899
    1. Koster S, Hensens AG, Schuurmans MJ et al. . Consequences of delirium after cardiac operations. Ann Thorac Surg 2012;93:705–11. 10.1016/j.athoracsur.2011.07.006
    1. Kat MG, Vreeswijk R, de Jonghe JF et al. . Long-term cognitive outcome of delirium in elderly hip surgery patients. A prospective matched controlled study over two and a half years. Dement Geriatr Cogn Disord 2008;26:1–8. 10.1159/000140611
    1. Bickel H, Gradinger R, Kochs E et al. . High risk of cognitive and functional decline after postoperative delirium. A three-year prospective study. Dement Geriatr Cogn Disord 2008;26:26–31. 10.1159/000140804
    1. Toye C, Matthews A, Hill A et al. . Experiences, understandings and support needs of family carers of older patients with delirium: a descriptive mixed methods study in a hospital delirium unit. Int J Older People Nurs 2014;9:200–8. 10.1111/opn.12019
    1. Inouye SK, Rushing JT, Foreman MD et al. . Does delirium contribute to poor hospital outcomes? A three-site epidemiologic study. J Gen Intern Med 1998;13:234–42. 10.1046/j.1525-1497.1998.00073.x
    1. Marcantonio ER, Flacker JM, Michaels M et al. . Delirium is independently associated with poor functional recovery after hip fracture. J Am Geriatr Soc 2000;48:618–24. 10.1111/j.1532-5415.2000.tb04718.x
    1. Zhang Z, Pan L, Ni H. Impact of delirium on clinical outcome in critically ill patients: a meta-analysis. Gen Hosp Psychiatry 2013;35:105–11. 10.1016/j.genhosppsych.2012.11.003
    1. O'Keeffe S, Lavan J. The prognostic significance of delirium in older hospital patients. J Am Geriatr Soc 1997;45:174–8. 10.1111/j.1532-5415.1997.tb04503.x
    1. Witlox J, Eurelings LS, de Jonghe JF et al. . Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA 2010;304:443–51. 10.1001/jama.2010.1013
    1. Cole MG, Ciampi A, Belzile E et al. . Persistent delirium in older hospital patients: a systematic review of frequency and prognosis. Age Ageing 2009;38:19–26. 10.1093/ageing/afn253
    1. Saczynski JS, Marcantonio ER, Quach L et al. . Cognitive trajectories after postoperative delirium. N Engl J Med 2012;367:30–9. 10.1056/NEJMoa1112923
    1. Wacker P, Nunes PV, Cabrita H et al. . Post-operative delirium is associated with poor cognitive outcome and dementia. Dement Geriatr Cogn Disord 2006;21:221–7. 10.1159/000091022
    1. Inouye SK, Westendorp RG, Saczynski JS. Delirium in elderly people. Lancet 2014;383:911–22. 10.1016/S0140-6736(13)60688-1
    1. Inouye SK, van Dyck CH, Alessi CA et al. . Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med 1990;113:941–8. 10.7326/0003-4819-113-12-941
    1. Inouye SK, Bogardus ST Jr, Charpentier PA et al. . A multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med 1999;340:669–76. 10.1056/NEJM199903043400901
    1. Inouye SK, Baker DI, Fugal P et al. . Dissemination of the Hospital Elder Life Program: implementation, adaptation, and successes. J Am Geriatr Soc 2006;54:1492–9. 10.1111/j.1532-5415.2006.00869.x
    1. Fox MT, Sidani S, Persaud M et al. . Acute care for elders components of acute geriatric unit care: systematic descriptive review. J Am Geriatr Soc 2013;61:939–46. 10.1111/jgs.12282
    1. Fox MT, Persaud M, Maimets I et al. . Effectiveness of acute geriatric unit care using acute care for elders components: a systematic review and meta-analysis. J Am Geriatr Soc 2012;60:2237–45. 10.1111/jgs.12028
    1. Sieber FE, Zakriya KJ, Gottschalk A et al. . Sedation depth during spinal anesthesia and the development of postoperative delirium in elderly patients undergoing hip fracture repair. Mayo Clin Proc 2010;85:18–26. 10.4065/mcp.2009.0469
    1. Chan MT, Cheng BC, Lee TM et al. . BIS-guided anesthesia decreases postoperative delirium and cognitive decline. J Neurosurg Anesthesiol 2013;25:33–42. 10.1097/ANA.0b013e3182712fba
    1. Radtke FM, Franck M, Lendner J et al. . Monitoring depth of anaesthesia in a randomized trial decreases the rate of postoperative delirium but not postoperative cognitive dysfunction. Br J Anaesth 2013;110(Suppl 1):i98–105. 10.1093/bja/aet055
    1. Whitlock EL, Torres BA, Lin N et al. . Postoperative delirium in a substudy of cardiothoracic surgical patients in the BAG-RECALL clinical trial. Anesth Analg 2014;118:809–17. 10.1213/ANE.0000000000000028
    1. Rampil IJ. A primer for EEG signal processing in anesthesia. Anesthesiology 1998;89:980–1002. 10.1097/00000542-199810000-00023
    1. Kertai MD, Pal N, Palanca BJ et al. . Association of perioperative risk factors and cumulative duration of low bispectral index with intermediate-term mortality after cardiac surgery in the B-Unaware Trial. Anesthesiology 2010;112:1116–27. 10.1097/ALN.0b013e3181d5e0a3
    1. Kertai MD, Palanca BJ, Pal N et al. . Bispectral index monitoring, duration of bispectral index below 45, patient risk factors, and intermediate-term mortality after noncardiac surgery in the B-Unaware Trial. Anesthesiology 2011;114:545–56. 10.1097/ALN.0b013e31820c2b57
    1. Monk TG, Saini V, Weldon BC et al. . Anesthetic management and one-year mortality after noncardiac surgery. Anesth Analg 2005;100:4–10. 10.1213/01.ANE.0000147519.82841.5E
    1. Lindholm ML, Traff S, Granath F et al. . Mortality within 2 years after surgery in relation to low intraoperative bispectral index values and preexisting malignant disease. Anesth Analg 2009;108:508–12. 10.1213/ane.0b013e31818f603c
    1. Leslie K, Myles PS, Forbes A et al. . The effect of bispectral index monitoring on long-term survival in the B-aware trial. Anesth Analg 2010;110:816–22. 10.1213/ANE.0b013e3181c3bfb2
    1. Willingham M, Ben Abdallah A, Gradwohl S et al. . The association between intraoperative electroencephalographic suppression and postoperative mortality. Br J Anaesth 2014;113:1001–8. 10.1093/bja/aeu105
    1. National Clinical Guideline Centre (UK). Depth of anaesthesia monitors—bispectral index (BIS), E-Entropy and Narcotrend-Compact M. London: Royal College of Physicians, 2012.
    1. Pandit JJ, Cook TM. National Institute for Clinical Excellence guidance on measuring depth of anaesthesia: limitations of EEG-based technology. Br J Anaesth 2013;110:325–8. 10.1093/bja/aet006
    1. Pandit JJ, Cook TM, Jonker WR et al. , 5th National Audit Project of the Royal College of Anaesthetists and the Association of Anaesthetists of Great Britain Ireland. A national survey of anaesthetists (NAP5 baseline) to estimate an annual incidence of accidental awareness during general anaesthesia in the UK. Br J Anaesth 2013;110:501–9. 10.1093/bja/aet016
    1. Avidan MS, Zhang L, Burnside BA et al. . Anesthesia awareness and the bispectral index. N Engl J Med 2008;358:1097–108. 10.1056/NEJMoa0707361
    1. Avidan MS, Jacobsohn E, Glick D et al. . Prevention of intraoperative awareness in a high-risk surgical population. N Engl J Med 2011;365:591–600. 10.1056/NEJMoa1100403
    1. Mashour GA, Shanks A, Tremper KK et al. . Prevention of intraoperative awareness with explicit recall in an unselected surgical population: a randomized comparative effectiveness trial. Anesthesiology 2012;117:717–25. 10.1097/ALN.0b013e31826904a6
    1. American Society of Anesthesiologists Task Force on Intraoperative Awareness. Practice advisory for intraoperative awareness and brain function monitoring: a report by the American society of anesthesiologists task force on intraoperative awareness. Anesthesiology 2006;104:847–64. 10.1097/00000542-200604000-00031
    1. Crosby G. General anesthesia—minding the mind during surgery. N Engl J Med 2011;365:660–1. 10.1056/NEJMe1107203
    1. Morimoto Y, Hagihira S, Koizumi Y et al. . The relationship between bispectral index and electroencephalographic parameters during isoflurane anesthesia. Anesth Analg 2004;98:1336–40, table of contents 10.1213/01.ANE.0000105867.17108.B6
    1. Kertai MD, Whitlock EL, Avidan MS. Brain monitoring with electroencephalography and the electroencephalogram-derived bispectral index during cardiac surgery. Anesth Analg 2012;114:533–46. 10.1213/ANE.0b013e31823ee030
    1. Soehle M, Dittmann A, Ellerkmann RK et al. . Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study. BMC Anesthesiol 2015;15:61 10.1186/s12871-015-0051-7
    1. Andresen JM, Girard TD, Pandharipande PP et al. . Burst suppression on processed electroencephalography as a predictor of postcoma delirium in mechanically ventilated ICU patients. Crit Care Med 2014;42:2244–51. 10.1097/CCM.0000000000000522
    1. Watson PL, Shintani AK, Tyson R et al. . Presence of electroencephalogram burst suppression in sedated, critically ill patients is associated with increased mortality. Crit Care Med 2008;36:3171–7. 10.1097/CCM.0b013e318186b9ce
    1. Whitlock EL, Villafranca AJ, Lin N et al. . Relationship between bispectral index values and volatile anesthetic concentrations during the maintenance phase of anesthesia in the B-Unaware trial. Anesthesiology 2011;115:1209–18. 10.1097/ALN.0b013e3182395dcb
    1. Chan AW, Tetzlaff JM, Altman DG et al. . SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013;158:200–7. 10.7326/0003-4819-158-3-201302050-00583
    1. Chan AW, Tetzlaff JM, Gotzsche PC et al. . SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586 10.1136/bmj.e7586
    1. Aranake A, Gradwohl S, Ben-Abdallah A et al. . Increased risk of intraoperative awareness in patients with a history of awareness. Anesthesiology 2013;119:1275–83. 10.1097/ALN.0000000000000023
    1. Thabane L, Ma J, Chu R et al. . A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol 2010;10:1 10.1186/1471-2288-10-1
    1. Bottros MM, Palanca BJ, Mashour GA et al. . Estimation of the bispectral index by anesthesiologists: an inverse turing test. Anesthesiology 2011;114:1093–101. 10.1097/ALN.0b013e31820e7c5c
    1. ICETAP Electroencephalography Education Website. (accessed 31 May 2015).
    1. McDowell JA, Mion LC, Lydon TJ et al. . A nonpharmacologic sleep protocol for hospitalized older patients. J Am Geriatr Soc 1998;46:700–5. 10.1111/j.1532-5415.1998.tb03803.x
    1. Inouye SK, Bogardus ST Jr, Williams CS et al. . The role of adherence on the effectiveness of nonpharmacologic interventions: evidence from the delirium prevention trial. Arch Intern Med 2003;163:958–64. 10.1001/archinte.163.8.958
    1. Hospital Elder Life Program: Information About Delirium. (accessed 31 Oct 2014).
    1. Hospital Elder Life Program: Advice on Delirium Management. (accessed 31 Oct 2014).
    1. Lenze EJ, Host HH, Hildebrand MW et al. . Enhanced medical rehabilitation increases therapy intensity and engagement and improves functional outcomes in postacute rehabilitation of older adults: a randomized-controlled trial. J Am Med Dir Assoc 2012;13:708–12. 10.1016/j.jamda.2012.06.014
    1. Ganz DA, Huang C, Saliba D et al. . Preventing falls in hospitals: a toolkit for improving quality of care. (Prepared by RAND Corporation, Boston University School of Public Health, and ECRI Institute under Contract No. HHSA290201000017I TO #1). Rockville, MD: Agency for Healthcare Research and Quality, 2013. AHRQ Publication No. 13-0015-EF.
    1. Rhalimi M, Helou R, Jaecker P. Medication use and increased risk of falls in hospitalized elderly patients: a retrospective, case–control study. Drugs Aging 2009;26:847–52. 10.2165/11317610-000000000-00000
    1. Masud T, Frost M, Ryg J et al. . Central nervous system medications and falls risk in men aged 60–75 years: the Study on Male Osteoporosis and Aging (SOMA). Age Ageing 2013;42:121–4. 10.1093/ageing/afs118
    1. Olazaran J, Valle D, Serra JA et al. . Psychotropic medications and falls in nursing homes: a cross-sectional study. J Am Med Dir Assoc 2013;14:213–17. 10.1016/j.jamda.2012.10.020
    1. van Strien AM, Koek HL, van Marum RJ et al. . Psychotropic medications, including short acting benzodiazepines, strongly increase the frequency of falls in elderly. Maturitas 2013;74:357–62. 10.1016/j.maturitas.2013.01.004
    1. Payne RA, Abel GA, Simpson CR et al. . Association between prescribing of cardiovascular and psychotropic medications and hospital admission for falls or fractures. Drugs Aging 2013;30:247–54. 10.1007/s40266-013-0058-z
    1. Askari M, Eslami S, Scheffer AC et al. . Different risk-increasing drugs in recurrent versus single fallers: are recurrent fallers a distinct population? Drugs Aging 2013;30:845–51. 10.1007/s40266-013-0110-z
    1. Freeland KN, Thompson AN, Zhao Y et al. . Medication use and associated risk of falling in a geriatric outpatient population. Ann Pharmacother 2012;46:1188–92. 10.1345/aph.1Q689
    1. American Geriatrics Society Beers Criteria Update Expert Panel. American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc 2012;60:616–31. 10.1111/j.1532-5415.2012.03923.x
    1. Carpenter CR, Avidan MS, Wildes T et al. . Predicting geriatric falls following an episode of emergency department care: a systematic review. Acad Emerg Med 2014;21:1069–82. 10.1111/acem.12488
    1. DeCrane SK, Culp KR, Wakefield B. Twelve-month fall outcomes among delirium subtypes. J Healthc Qual 2012;34:13–20. 10.1111/j.1945-1474.2011.00162.x
    1. Lakatos BE, Capasso V, Mitchell MT et al. . Falls in the general hospital: association with delirium, advanced age, and specific surgical procedures. Psychosomatics 2009;50:218–26. 10.1176/appi.psy.50.3.218
    1. Siddiqi N, Young J, House AO et al. . Stop Delirium! A complex intervention to prevent delirium in care homes: a mixed-methods feasibility study. Age Ageing 2011;40:90–8. 10.1093/ageing/afq126
    1. Pautex S, Herrmann FR, Zulian GB. Factors associated with falls in patients with cancer hospitalized for palliative care. J Palliat Med 2008;11:878–84. 10.1089/jpm.2007.0241
    1. Mahoney JE, Palta M, Johnson J et al. . Temporal association between hospitalization and rate of falls after discharge. Arch Intern Med 2000;160:2788–95. 10.1001/archinte.160.18.2788
    1. Harris PA, Taylor R, Thielke R et al. . Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.010
    1. Fritz BA, Rao P, Mashour GA et al. . Postoperative recovery with bispectral index versus anesthetic concentration-guided protocols. Anesthesiology 2013;118:1113–22. 10.1097/ALN.0b013e31828604ab
    1. Brown CH IV, Morrissey C, Ono M et al. . Impaired olfaction and risk of delirium or cognitive decline after cardiac surgery. J Am Geriatr Soc 2015;63:16–23. 10.1111/jgs.13198
    1. Galvin JE, Roe CM, Powlishta KK et al. . The AD8: a brief informant interview to detect dementia. Neurology 2005;65:559–64. 10.1212/01.wnl.0000172958.95282.2a
    1. Davis PB, Morris JC, Grant E. Brief screening tests versus clinical staging in senile dementia of the Alzheimer type. J Am Geriatr Soc 1990;38:129–35. 10.1111/j.1532-5415.1990.tb03473.x
    1. Weintraub S, Dikmen SS, Heaton RK et al. . The cognition battery of the NIH toolbox for assessment of neurological and behavioral function: validation in an adult sample. J Int Neuropsychol Soc 2014;20:567–78. 10.1017/S1355617714000320
    1. Heaton RK, Akshoomoff N, Tulsky D et al. . Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults. J Int Neuropsychol Soc 2014;20:588–98. 10.1017/S1355617714000241
    1. Rudolph JL, Jones RN, Grande LJ et al. . Impaired executive function is associated with delirium after coronary artery bypass graft surgery. J Am Geriatr Soc 2006;54:937–41. 10.1111/j.1532-5415.2006.00735.x
    1. Fong TG, Hshieh TT, Wong B et al. . Neuropsychological profiles of an elderly cohort undergoing elective surgery and the relationship between cognitive performance and delirium. J Am Geriatr Soc 2015;63:977–82. 10.1111/jgs.13383
    1. Amrock LG, Deiner S. The implication of frailty on preoperative risk assessment. Curr Opin Anaesthesiol 2014;27: 330–5. 10.1097/ACO.0000000000000065
    1. Abizanda P, Navarro JL, Garcia-Tomas MI et al. . Validity and usefulness of hand-held dynamometry for measuring muscle strength in community-dwelling older persons. Arch Gerontol Geriatr 2012;54:21–7. 10.1016/j.archger.2011.02.006
    1. Wei LA, Fearing MA, Sternberg EJ et al. . The confusion assessment method: a systematic review of current usage. J Am Geriatr Soc 2008;56:823–30. 10.1111/j.1532-5415.2008.01674.x
    1. Ely EW, Inouye SK, Bernard GR et al. . Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA 2001;286:2703–10. 10.1001/jama.286.21.2703
    1. Ely EW, Margolin R, Francis J et al. . Evaluation of delirium in critically ill patients: validation of the confusion assessment method for the intensive care unit (CAM-ICU). Crit Care Med 2001;29:1370–9. 10.1097/00003246-200107000-00012
    1. Luetz A, Heymann A, Radtke FM et al. . Different assessment tools for intensive care unit delirium: which score to use? Crit Care Med 2010;38:409–18. 10.1097/CCM.0b013e3181cabb42
    1. Plaschke K, von Haken R, Scholz M et al. . Comparison of the confusion assessment method for the intensive care unit (CAM-ICU) with the intensive care delirium screening checklist (ICDSC) for delirium in critical care patients gives high agreement rate(s). Intensive Care Med 2008;34:431–6. 10.1007/s00134-007-0920-8
    1. Inouye SK, Leo-Summers L, Zhang Y et al. . A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion assessment method. J Am Geriatr Soc 2005;53:312–18. 10.1111/j.1532-5415.2005.53120.x
    1. Saczynski JS, Kosar CM, Xu G et al. . A tale of two methods: chart and interview methods for identifying delirium. J Am Geriatr Soc 2014;62:518–24. 10.1111/jgs.12684
    1. Ramaswamy R, Dix EF, Drew JE et al. . Beyond grand rounds: a comprehensive and sequential intervention to improve identification of delirium. Gerontologist 2011;51:122–31. 10.1093/geront/gnq075
    1. Sim J, Wright CC. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther 2005;85:257–68.
    1. Selim AJ, Rogers W, Fleishman JA et al. . Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12). Qual Life Res 2009;18:43–52. 10.1007/s11136-008-9418-2
    1. Lamb SE, Jorstad-Stein EC, Hauer K et al. , Prevention of Falls Network Europe, Outcomes Consensus Group. Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus. J Am Geriatr Soc 2005;53:1618–22. 10.1111/j.1532-5415.2005.53455.x
    1. Skelton DA, Todd CJ, ProFa NEG. Prevention of Falls Network Europe: a thematic network aimed at introducing good practice in effective falls prevention across Europe. Four years on. J Musculoskelet Neuronal Interact 2007;7:273–8.
    1. Tinetti ME, Speechley M, Ginter SF. Risk factors for falls among elderly persons living in the community. N Engl J Med 1988;319:1701–7. 10.1056/NEJM198812293192604
    1. Short TG, Leslie K, Campbell D et al. . A pilot study for a prospective, randomized, double-blind trial of the influence of anesthetic depth on long-term outcome. Anesth Analg 2014;118:981–6. 10.1213/ANE.0000000000000209
    1. Short TG, Leslie K, Chan MT et al. . Rationale and design of the balanced anesthesia study: a prospective randomized clinical trial of two levels of anesthetic depth on patient outcome after major surgery. Anesth Analg 2015;121:357–65. 10.1213/ANE.0000000000000797
    1. Martins S, Conceicao F, Paiva JA et al. . Delirium recognition by family: European Portuguese validation study of the family confusion assessment method. J Am Geriatr Soc 2014;62:1748–52. 10.1111/jgs.12973
    1. Steis MR, Evans L, Hirschman KB et al. . Screening for delirium using family caregivers: convergent validity of the family confusion assessment method and interviewer-rated confusion assessment method. J Am Geriatr Soc 2012;60:2121–6. 10.1111/j.1532-5415.2012.04200.x
    1. Perez ME, Pericchi LR. Changing statistical significance with the amount of information: the adaptive significance level. Stat Probab Lett 2014;85:20–4. 10.1016/j.spl.2013.10.018
    1. Nuzzo R. Scientific method: statistical errors. Nature 2014;506:150–2. 10.1038/506150a
    1. Ioannidis JP. Why most published research findings are false. PLoS Med 2005;2:e124 10.1371/journal.pmed.0020124
    1. Prasad V, Vandross A, Toomey C et al. . A decade of reversal: an analysis of 146 contradicted medical practices. Mayo Clin Proc 2013;88:790–8. 10.1016/j.mayocp.2013.05.012
    1. Johnson VE. Revised standards for statistical evidence. Proc Natl Acad Sci USA 2013;110:19313–17. 10.1073/pnas.1313476110
    1. Jones TS, Dunn CL, Wu DS et al. . Relationship between asking an older adult about falls and surgical outcomes. JAMA Surg 2013;148:1132–8. 10.1001/jamasurg.2013.2741
    1. Loudon K, Treweek S, Sullivan F et al. . The PRECIS-2 tool: designing trials that are fit for purpose. BMJ 2015;350:h2147 10.1136/bmj.h2147
    1. Glasgow RE, Gaglio B, Bennett G et al. . Applying the PRECIS criteria to describe three effectiveness trials of weight loss in obese patients with comorbid conditions. Health Serv Res 2012;47:1051–67. 10.1111/j.1475-6773.2011.01347.x
    1. Thorpe KE, Zwarenstein M, Oxman AD et al. . A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. J Clin Epidemiol 2009;62:464–75. 10.1016/j.jclinepi.2008.12.011
    1. Schuller PJ, Newell S, Strickland PA et al. . Response of bispectral index to neuromuscular block in awake volunteersdagger. Br J Anaesth 2015;115(Suppl 1):i95–103. 10.1093/bja/aev072
    1. Brice DD, Hetherington RR, Utting JE. A simple study of awareness and dreaming during anaesthesia. Br J Anaesth 1970;42:535–42. 10.1093/bja/42.6.535
    1. Tharmanathan P, Calvert M, Hampton J et al. . The use of interim data and Data Monitoring Committee recommendations in randomized controlled trial reports: frequency, implications and potential sources of bias. BMC Med Res Methodol 2008;8:12 10.1186/1471-2288-8-12
    1. Fleming TR, DeMets DL. Monitoring of clinical trials: issues and recommendations. Control Clin Trials 1993;14:183–97. 10.1016/0197-2456(93)90002-U
    1. Smith MA, Ungerleider RS, Korn EL et al. . Role of independent data-monitoring committees in randomized clinical trials sponsored by The National Cancer Institute. J Clin Oncol 1997;15: 2736–43.
    1. Montori VM, Devereaux PJ, Adhikari NK et al. . Randomized trials stopped early for benefit: a systematic review. JAMA 2005;294:2203–9. 10.1001/jama.294.17.2203
    1. Bassler D, Briel M, Montori VM et al. . Stopping randomized trials early for benefit and estimation of treatment effects: systematic review and meta-regression analysis. JAMA 2010;303:1180–7. 10.1001/jama.2010.310
    1. Grant AM, Altman DG, Babiker AB et al. . Issues in data monitoring and interim analysis of trials. Health Technol Assess 2005;9:1–238, iii–iv 10.3310/hta9070
    1. Myles PS, Leslie K, McNeil J et al. . Bispectral index monitoring to prevent awareness during anaesthesia: the B-Aware randomised controlled trial. Lancet 2004;363:1757–63. 10.1016/S0140-6736(04)16300-9
    1. Mashour GA, Esaki RK, Tremper KK et al. . A novel classification instrument for intraoperative awareness events. Anesth Analg 2010;110:813–15. 10.1213/ANE.0b013e3181b6267d
    1. Bellelli G, Mazzola P, Morandi A et al. . Duration of postoperative delirium is an independent predictor of 6-month mortality in older adults after hip fracture. J Am Geriatr Soc 2014;62:1335–40. 10.1111/jgs.12885
    1. Bryczkowski SB, Lopreiato MC, Yonclas PP et al. . Delirium prevention program in the surgical intensive care unit improved the outcomes of older adults. J Surg Res 2014;190:280–8. 10.1016/j.jss.2014.02.044
    1. Morandi A, Rogers BP, Gunther ML et al. . The relationship between delirium duration, White matter integrity, and cognitive impairment in intensive care unit survivors as determined by diffusion tensor imaging: the VISIONS prospective cohort magnetic resonance imaging study*. Crit Care Med 2012;40:2182–9. 10.1097/CCM.0b013e318250acdc
    1. Gunther ML, Morandi A, Krauskopf E et al. . The association between brain volumes, delirium duration, and cognitive outcomes in intensive care unit survivors: the VISIONS cohort magnetic resonance imaging study. Crit Care Med 2012;40:2022–32. 10.1097/CCM.0b013e318250acc0
    1. Inouye SK, Kosar CM, Tommet D et al. . The CAM-S: development and validation of a new scoring system for delirium severity in 2 cohorts. Ann Intern Med 2014;160:526–33. 10.7326/M13-1927
    1. Avidan MS, Fritz BA, Maybrier HR et al. . The Prevention of Delirium and Complications Associated with Surgical Treatments (PODCAST) study: protocol for an international multicentre randomised controlled trial. BMJ Open 2014;4:e005651 10.1136/bmjopen-2014-005651
    1. Chanques G, Payen JF, Mercier G et al. . Assessing pain in non-intubated critically ill patients unable to self report: an adaptation of the Behavioral Pain Scale. Intensive Care Med 2009;35:2060–7. 10.1007/s00134-009-1590-5
    1. Jacobson SA, Dwyer PC, Machan JT et al. . Quantitative analysis of rest-activity patterns in elderly postoperative patients with delirium: support for a theory of pathologic wakefulness. J Clin Sleep Med 2008;4:137–42.
    1. van Dellen E, van der Kooi AW, Numan T et al. . Decreased functional connectivity and disturbed directionality of information flow in the electroencephalography of intensive care unit patients with delirium after cardiac surgery. Anesthesiology 2014;121:328–35. 10.1097/ALN.0000000000000329
    1. van der Kooi AW, Zaal IJ, Klijn FA et al. . Delirium detection using EEG: what and how to measure? Chest 2015;147:94–101. 10.1378/chest.13-3050
    1. Hofste WJ, Linssen CA, Boezeman EH et al. . Delirium and cognitive disorders after cardiac operations: relationship to pre- and intraoperative quantitative electroencephalogram. Int J Clin Monit Comput 1997;14:29–36. 10.1023/A:1016912927606
    1. Pollak CP, Tryon WW, Nagaraja H et al. . How accurately does wrist actigraphy identify the states of sleep and wakefulness? Sleep 2001;24:957–65.
    1. Charlson ME, Pompei P, Ales KL et al. . A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373–83. 10.1016/0021-9681(87)90171-8
    1. Kocalevent RD, Hinz A, Brahler E. Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. Gen Hosp Psychiatry 2013;35:551–5. 10.1016/j.genhosppsych.2013.04.006
    1. Payen JF, Bru O, Bosson JL et al. . Assessing pain in critically ill sedated patients by using a behavioral pain scale. Crit Care Med 2001;29:2258–63. 10.1097/00003246-200112000-00004
    1. Takeuchi M, Takeuchi H, Fujisawa D et al. . Incidence and risk factors of postoperative delirium in patients with esophageal cancer. Ann Surg Oncol 2012;19:3963–70. 10.1245/s10434-012-2432-1
    1. Chang YL, Tsai YF, Lin PJ et al. . Prevalence and risk factors for postoperative delirium in a cardiovascular intensive care unit. Am J Crit Care 2008;17:567–75.
    1. Smulter N, Lingehall HC, Gustafson Y et al. . Delirium after cardiac surgery: incidence and risk factors. Interact Cardiovasc Thorac Surg 2013;17:790–6. 10.1093/icvts/ivt323
    1. Guenther U, Theuerkauf N, Frommann I et al. . Predisposing and precipitating factors of delirium after cardiac surgery: a prospective observational cohort study. Ann Surg 2013;257:1160–7. 10.1097/SLA.0b013e318281b01c
    1. Bakker RC, Osse RJ, Tulen JH et al. . Preoperative and operative predictors of delirium after cardiac surgery in elderly patients. Eur J Cardiothorac Surg 2012;41:544–9. 10.1093/ejcts/ezr031
    1. Rudolph JL, Jones RN, Levkoff SE et al. . Derivation and validation of a preoperative prediction rule for delirium after cardiac surgery. Circulation 2009;119:229–36. 10.1161/CIRCULATIONAHA.108.795260
    1. Marcantonio ER, Goldman L, Mangione CM et al. . A clinical prediction rule for delirium after elective noncardiac surgery. JAMA 1994;271:134–9. 10.1001/jama.1994.03510260066030
    1. Greene NH, Attix DK, Weldon BC et al. . Measures of executive function and depression identify patients at risk for postoperative delirium. Anesthesiology 2009;110:788–95. 10.1097/ALN.0b013e31819b5ba6
    1. Flink BJ, Rivelli SK, Cox EA et al. . Obstructive sleep apnea and incidence of postoperative delirium after elective knee replacement in the nondemented elderly. Anesthesiology 2012;116:788–96. 10.1097/ALN.0b013e31824b94fc

Source: PubMed

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