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Chapter 14 - Preoperative Testing to Identify Vulnerable Subgroups

from Section 4 - Clinical Recommendations and Prevention

Published online by Cambridge University Press:  11 April 2019

Roderic G. Eckenhoff
Affiliation:
University of Pennsylvania
Niccolò Terrando
Affiliation:
Duke University, North Carolina
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Publisher: Cambridge University Press
Print publication year: 2019

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References

Moller, J.T., et al., Long-term postoperative cognitive dysfunction in the elderly ISPOCD1 study. ISPOCD investigators. International Study of Post-Operative Cognitive Dysfunction. The Lancet, 1998. 351(9106): 857–61.Google Scholar
Monk, T.G., et al., Predictors of cognitive dysfunction after major noncardiac surgery. Anesthesiology, 2008. 108(1): 1830.Google Scholar
Rudolph, J.L., et al., Delirium is associated with early postoperative cognitive dysfunction. Anaesthesia, 2008. 63(9): 941–7.Google Scholar
Robinson, T.N., et al., Preoperative cognitive dysfunction is related to adverse postoperative outcomes in the elderly. J Am Coll Surg, 2012. 215(1): 12–17; discussion 17–18.Google Scholar
Bakker, F.C., et al., The CareWell in Hospital program to improve the quality of care for frail elderly inpatients: results of a before-after study with focus on surgical patients. Am J Surg, 2014. 208(5): 73546.Google Scholar
Akhtar, A., Macfarlane, R.J., and Waseem, M., Pre-operative assessment and post-operative care in elective shoulder surgery. Open Orthop J, 2013. 7: 316–22.CrossRefGoogle ScholarPubMed
Kim, S., Brooks, A.K., and Groban, L., Preoperative assessment of the older surgical patient: honing in on geriatric syndromes. Clin Interv Aging, 2015. 10: 1327.Google Scholar
Androsova, G., et al., Biomarkers of postoperative delirium and cognitive dysfunction. Front Aging Neurosci, 2015. 7: 112.Google Scholar
Fiebich, B.L., et al., Potential link between interleukin-6 and arachidonic acid metabolism in Alzheimer’s disease. J Neural Transm Suppl, 1998. 54: 268–78.CrossRefGoogle ScholarPubMed
Robinson, T.N., et al., Simple frailty score predicts postoperative complications across surgical specialties. Am J Surg, 2013. 206(4): 544–50.CrossRefGoogle ScholarPubMed
Crosby, G., Culley, D.J., and Hyman, B.T., Preoperative cognitive assessment of the elderly surgical patient: a call for action. Anesthesiology, 2011. 114(6): 1265–8.Google Scholar
Juliebo, V., et al., Risk factors for preoperative and postoperative delirium in elderly patients with hip fracture. J Am Geriatr Soc, 2009. 57(8): 1354–61.Google Scholar
Smith, P.J., et al., Executive function and depression as independent risk factors for postoperative delirium. Anesthesiology, 2009. 110(4): 781–7.CrossRefGoogle ScholarPubMed
Galanakis, P., et al., Acute confusional state in the elderly following hip surgery: incidence, risk factors and complications. Int J Geriatr Psychiatry, 2001. 16(4): 349–55.Google Scholar
Dillon, C., et al., Geriatric depression and its relation with cognitive impairment and dementia. Arch Gerontol Geriatr, 2014. 59(2): 450–6.Google Scholar
Leung, J.M., et al., Are preoperative depressive symptoms associated with postoperative delirium in geriatric surgical patients? J Gerontol A Biol Sci Med Sci, 2005. 60(12): 1563–8.Google Scholar
Bouillon, K., et al., Measures of frailty in population-based studies: an overview. BMC Geriatr, 2013. 13: 64.Google Scholar
Romero-Ortuno, R., et al., A frailty instrument for primary care: findings from the Survey of Health, Ageing and Retirement in Europe (SHARE). BMC Geriatr, 2010. 10: 57.Google Scholar
Robinson, T.N., et al., Frailty predicts increased hospital and six-month healthcare cost following colorectal surgery in older adults. Am J Surg, 2011. 202(5): 511–14.CrossRefGoogle ScholarPubMed
Fried, L.P., et al., Self-reported preclinical disability identifies older women with early declines in performance and early disease. J Clin Epidemiol, 2001. 54(9): 889901.Google Scholar
Hilmer, S.N., et al., The assessment of frailty in older people in acute care. Australas J Ageing, 2009. 28(4): 182–8.Google Scholar
Andrew, M.K., Mitnitski, A.B., and Rockwood, K., Social vulnerability, frailty and mortality in elderly people. PLoS One, 2008. 3(5): e2232.Google Scholar
Andrew, M.K. and Rockwood, K., Making our health and care systems fit for an ageing population: considerations for Canada. Can Geriatr J, 2014. 17(4): 133–5.Google Scholar
Gauthier, S., et al., Mild cognitive impairment. The Lancet, 2006. 367(9518): 1262–70.Google Scholar
Evered, L.A., et al., Preexisting cognitive impairment and mild cognitive impairment in subjects presenting for total hip joint replacement. Anesthesiology, 2011. 114(6): 1297–304.Google Scholar
Crosby, G. and Culley, D.J., Surgery and anesthesia: healing the body but harming the brain? Anesth Analg, 2011. 112(5): 9991001.Google Scholar
Chodosh, J., et al., Physician recognition of cognitive impairment: evaluating the need for improvement. J Am Geriatr Soc, 2004. 52(7): 1051–9.Google Scholar
Boustani, M., et al., Implementing a screening and diagnosis program for dementia in primary care. J Gen Intern Med, 2005. 20(7): 572–7.CrossRefGoogle ScholarPubMed
Sieber, F.E. and Barnett, S.R., Preventing postoperative complications in the elderly. Anesthesiol Clin, 2011. 29(1): 8397.Google Scholar
Silbert, B., et al., Preexisting cognitive impairment is associated with postoperative cognitive dysfunction after hip joint replacement surgery. Anesthesiology, 2015. 122(6): 1224–34.Google Scholar
Long, L.S., Shapiro, W.A., and Leung, J.M., A brief review of practical preoperative cognitive screening tools. Can J Anesth, 2012. 59(8): 798804.Google Scholar
Long, L.S., Wolpaw, J.T., and Leung, J.M., Sensitivity and specificity of the animal fluency test for predicting postoperative delirium. Can J Anesth, 2015. 62(6): 603–8.Google Scholar
Kang, J.H., Irizarry, M.C., and Grodstein, F., Prospective study of plasma folate, vitamin B12, and cognitive function and decline. Epidemiology, 2006. 17(6): 650–7.Google Scholar
Greene, N.H., et al., Measures of executive function and depression identify patients at risk for postoperative delirium. Anesthesiology, 2009. 110(4): 788–95.Google Scholar
Royall, D.R., et al., Declining executive control in normal aging predicts change in functional status: the Freedom House Study. J Am Geriatr Soc, 2004. 52(3): 346–52.CrossRefGoogle ScholarPubMed
Price, C.C., et al., Delayed recall and working memory MMSE domains predict delirium following cardiac surgery. J Alzheimers Dis, 2017. 59(3): 10271035.Google Scholar
Borson, S., et al., The mini-cog: a cognitive “vital signs” measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry, 2000. 15(11): 1021–7.Google Scholar
Culley, D.J., et al., Preoperative cognitive stratification of older elective surgical patients: a cross-sectional study. Anesth Analg, 2016. 123(1): 186–92.Google Scholar
Culley, D.J., et al., Poor performance on a preoperative cognitive screening test predicts postoperative complications in older orthopedic surgical patients. Anesthesiology, 2017. 127(5): 76574.Google Scholar
Borson, S., et al., Implementing routine cognitive screening of older adults in primary care: process and impact on physician behavior. J Gen Intern Med, 2007. 22(6): 811–17.Google Scholar
Oldham, M.A., et al., Cognitive and functional status predictors of delirium and delirium severity after coronary artery bypass graft surgery: an interim analysis of the Neuropsychiatric Outcomes after Heart Surgery study. Int Psychogeriatr, 2015. 27(12): 1929–38.Google Scholar
Fong, T.G., 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(5): 977–82.Google Scholar
Beishuizen, S.J., et al., Unraveling the relationship between delirium, brain damage, and subsequent cognitive decline in a cohort of individuals undergoing surgery for hip fracture. J Am Geriatr Soc, 2017. 65(1): 1306.Google Scholar
Priner, M., et al., Usefulness of the short IQCODE for predicting postoperative delirium in elderly patients undergoing hip and knee replacement surgery. Gerontology, 2008. 54(2): 116–19.CrossRefGoogle ScholarPubMed
Fong, T.G., et al., Telephone interview for cognitive status: creating a crosswalk with the Mini-Mental State Examination. Alzheimers Dement, 2009. 5(6): 492–7.Google Scholar
Green, M.S., et al., Recovery following desflurane versus sevoflurane anesthesia for outpatient urologic surgery in elderly females. Anesth Pain Med, 2015. 5(1): e22271.Google Scholar
Lacruz, M., et al., Feasibility, internal consistency and covariates of TICS-m (telephone interview for cognitive status-modified) in a population-based sample: findings from the KORA-Age study. Int J Geriatr Psychiatry, 2013. 28(9): 971–8.Google Scholar
Jackson, T.A., et al., Diagnostic test accuracy of informant-based tools to diagnose dementia in older hospital patients with delirium: a prospective cohort study. Age Ageing, 2016. 45(4): 505–11.Google Scholar
Mujic, F., et al., The Executive Interview (EXIT25) as a tool for assessing executive functioning in older medical and surgical inpatients referred to a psychiatry service: feasibility of creating a brief version. Int Psychogeriatr, 2014. 26(6): 935–41.Google Scholar
Guerra, M., et al., Psychometric properties of EURO-D, a geriatric depression scale: a cross-cultural validation study. BMC Psychiatry, 2015. 15: 12.Google Scholar
Barca, M.L., et al., Factors associated with a depressive disorder in Alzheimer’s disease are different from those found for other dementia disorders. Dement Geriatr Cogn Dis Extra, 2012. 2: 1928.Google Scholar
Drudi, L.M., et al., Association of depression with mortality in older adults undergoing transcatheter or surgical aortic valve replacement. JAMA Cardiol, 2018. 3: 1917.Google Scholar
Ali, A.M., et al., Factors associated with 30-day readmission after primary total hip arthroplasty: analysis of 514455 procedures in the UK National Health Service. JAMA Surg, 2017. 152(12): e173949.Google Scholar
Wadhwa, R.K., et al., Risk factors for 30-day reoperation and 3-month readmission: analysis from the Quality and Outcomes Database lumbar spine registry. J Neurosurg Spine, 2017. 27(2): 1316.Google Scholar
Kosar, C.M., et al., Effect of preoperative pain and depressive symptoms on the development of postoperative delirium. Lancet Psychiatry, 2014. 1(6): 4316.Google Scholar
Patron, E., et al., Preexisting depressive symptoms are associated with long-term cognitive decline in patients after cardiac surgery. Gen Hosp Psychiatry, 2013. 35(5): 472–9.Google Scholar
Cepoiu, M., et al., Recognition of depression by non-psychiatric physicians – a systematic literature review and meta-analysis. J Gen Intern Med, 2008. 23(1): 2536.Google Scholar
Tsoi, K.K., et al., Comparison of diagnostic performance of Two-Question Screen and 15 depression screening instruments for older adults: systematic review and meta-analysis. Br J Psychiatry, 2017. 210(4): 25560.Google Scholar
Yesavage, J.A., et al., Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res, 1982. 17(1): 3749.Google Scholar
Subica, A.M., et al., Factor structure and diagnostic validity of the Beck Depression Inventory–II with adult clinical inpatients: comparison to a gold-standard diagnostic interview. Psychol Assess, 2014. 26(4): 1106–15.Google Scholar
Heidenblut, S. and Zank, S., Development of a new screening instrument for geriatric depression. The depression in old age scale (DIA-S). Z Gerontol Geriatr, 2010. 43(3): 170–6.Google Scholar
Zung, W.W., A Self-Rating Depression Scale. Arch Gen Psychiatry, 1965. 12: 6370.Google Scholar
Prince, M.J., et al., Development of the EURO-D scale – a European Union initiative to compare symptoms of depression in 14 European centres. Br J Psychiatry, 1999. 174: 330–8.Google Scholar
Hamilton, M., Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol, 1967. 6(4): 278–96.Google Scholar
Chen, C.C., et al., Pre-surgical geriatric syndromes, frailty, and risks for postoperative delirium in older patients undergoing gastrointestinal surgery: prevalence and red flags. J Gastrointest Surg, 2015. 19(5): 927–34.CrossRefGoogle ScholarPubMed
Gleason, L.J., et al., FRAIL questionnaire screening tool and short-term outcomes in geriatric fracture patients. J Am Med Dir Assoc, 2017. 18(12): 10826.Google Scholar
Pol, R.A., et al., Standardised frailty indicator as predictor for postoperative delirium after vascular surgery: a prospective cohort study. Eur J Vasc Endovasc Surg, 2011. 42(6): 824–30.Google Scholar
Makhani, S.S., et al., Cognitive impairment and overall survival in frail surgical patients. J Am Coll Surg, 2017. 225(5): 590600.CrossRefGoogle ScholarPubMed
Kua, J., et al., Which frailty measure is a good predictor of early post-operative complications in elderly hip fracture patients? Arch Orthop Trauma Surg, 2016. 136(5): 639–47.Google Scholar
Morley, J.E., Malmstrom, T.K., and Miller, D.K., A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging, 2012. 16(7): 601–8.Google Scholar
Robinson, T.N., et al., Accumulated frailty characteristics predict postoperative discharge institutionalization in the geriatric patient. J Am Coll Surg, 2011. 213(1): 3742; discussion 42–4.Google Scholar
Andrew, M.K. and Keefe, J.M., Social vulnerability from a social ecology perspective: a cohort study of older adults from the National Population Health Survey of Canada. BMC Geriatr, 2014. 14: 90.Google Scholar
Boen, H., Dalgard, O.S., and Bjertness, E., The importance of social support in the associations between psychological distress and somatic health problems and socio-economic factors among older adults living at home: a cross sectional study. BMC Geriatr, 2012. 12: 27.Google Scholar
Do, T.D., et al., Low social support is associated with an increased risk of postoperative delirium. J Clin Anesth, 2012. 24(2): 126–32.Google Scholar
Luttenberger, K., et al., Validation of the Erlangen test of activities of daily living in persons with mild dementia or mild cognitive impairment (ETAM). BMC Geriatr, 2016. 16: p. 111.Google Scholar
Lawton, M.P. and Brody, E.M., Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist, 1969. 9(3): 179–86.Google Scholar

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