Skip to main content Accessibility help
×
Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-29T07:24:11.813Z Has data issue: false hasContentIssue false

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
Get access
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×