The impact of functional dependence and related surgical complications on postoperative mortality
Open accessAbstract
Purpose Functional dependency is a known determinant of surgical risk. To enhance our understanding of the relationship between dependency and adverse surgical outcomes, we studied how postoperative mortality following a surgical complication was impacted by preoperative functional dependency. Methods We explored a historical cohort of 6,483,387 surgical patients within the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). All patients ≥ 18 years old within the ACS-NSQIP from 2007 to 2017 were included. Results There were 6,222,611 (96.5%) functionally independent, 176,308 (2.7%) partially dependent, and 47,428 (0.7%) totally dependent patients. Within 30 days postoperatively, 57,652 (0.9%) independent, 15,075 (8.6%) partially dependent, and 10,168 (21.4%) totally dependent patients died. After adjusting for confounders, increasing functional dependency was associated with increased odds of mortality (Partially Dependent OR: 1.72, 99% CI: 1.66 to 1.77; Totally Dependent OR: 2.26, 99% CI: 2.15 to 2.37). Dependency also significantly impacted mortality following a complication; however, independent patients usually experienced much stronger increases in the odds of mortality. There were six complications not associated with increased odds of mortality. Model diagnostics show our model was able to distinguish between patients who did and did not suffer 30-day postoperative mortality nearly 96.7% of the time. Conclusions Within our cohort, dependent surgical patients had higher rates of comorbidities, complications, and odds of 30-day mortality. Preoperative functional status significantly impacted the level of postoperative mortality following a complication, but independent patients were most affected.
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Empirical studies in patients with glioma suggest that caregiver burden is common and clinically meaningful.
“Empirical studies in patients with glioma suggest that caregiver burden is common and clinically meaningful.6, 7, 8, 9, 10”
From Caregiver burden, quality of life, and psychosocial outcomes among informal caregivers of patients with glioma: A systematic review and meta-analysis (2026) · cites this paper as [6]
The Discussion addresses functional dependence, surgical complications, and postoperative mortality, not caregiver burden. Searches for glioma, caregivers, and clinically meaningful burden found no passage in our copy addressing the claim. (LLM, conf=0.76)
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References 45 · Cited by 16
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- [1]Shah R,, Association of Frailty with Failure to Rescue After Low-Risk and High-Risk Inpatient Surgery. JAMA Surg, 2018. 153(5): p. e180214. 29562073 PMC5875343
- [2]Scarborough JE,, The impact of functional dependency on outcomes after complex general and vascular surgery. Ann Surg, 2015. 261(3): p. 432– 7. 24887971 PMC4346574
- [3]Pel-Littel RE,, Frailty: defining and measuring of a concept. J Nutr Health Aging, 2009. 13(4): p. 390– 4. 19300888
- [4]Akyar S,, The Impact of Frailty on Postoperative Cardio-pulmonary Complications in the Emergency General Surgery Population. Surg J (N Y), 2018. 4(2): p. e66– e77. 29796424 PMC5966303
- [5]Puts MT, Lips P, and Deeg DJ, Static and dynamic measures of frailty predicted decline in performance-based and self-reported physical functioning. J Clin Epidemiol, 2005. 58(11): p. 1188– 98. 16223663
- [6]Rockwood K,, A global clinical measure of fitness and frailty in elderly people. Cmaj, 2005. 173(5): p. 489– 95. 16129869 PMC1188185
- [8]Lally F, Crome P. Understanding frailty. Postgrad Med J. 2007; 83(975): 16– 20. 10.1136/pgmj.2006.048587A 17267673 PMC2599957 · DOI
- [9]Fried Linda P., Tangen Catherine M., Walston Jeremy, Newman Anne B., Hirsch Calvin, Gottdiener John, Seeman Teresa, Tracy Russell, Kop Willem J., Burke Gregory, McBurnie Mary Ann, Frailty in Older Adults: Evidence for a Phenotype, The Journals of Gerontology: Series A, Volume 56, Issue 3, 1 3 2001, Pages M146– M157. 10.1093/gerona/56.3.M146A 11253156 · DOI
- [10]Makary MA, Segev DL, Pronovost PJ Syin D, Bandeen-Roche K, Patel P, Takenaga R, Devgan L, Holzmueller CG, Tian J, Fried LP. Frailty as a predictor of surgical outcomes in older patients J Am Coll Surg. 2010 6; 210(6): 901– 8. 10.1016/j.jamcollsurg.2010.01.028. Epub 2010 Apr 28 20510798 · DOI · Paper page
- [11]Bergman H, Ferrucci L, Guralnik J, Frailty: an emerging research and clinical paradigm--issues and controversies. J Gerontol A Biol Sci Med Sci. 2007; 62(7): 731– 737. 10.1093/gerona/62.7.731A 17634320 PMC2645660 · DOI
- [12]Fried Linda P., Ferrucci Luigi, Darer Jonathan, Williamson Jeff D., Anderson Gerard, Untangling the Concepts of Disability, Frailty, and Comorbidity: Implications for Improved Targeting and Care, The Journals of Gerontology: Series A, Volume 59, Issue 3, 3 2004, Pages M255– M263. 10.1093/gerona/59.3.M255A 15031310 · DOI
- [13]Robinson Thomas N., Eiseman Ben, Wallace Jeffrey I., Church Skotti D., McFann Kim K., Pfister Shirley M., Sharp Terra J., Moss Marc, Redefining Geriatric Preoperative Assessment Using Frailty, Disability and Co-Morbidity, Annals of Surgery: September 2009 - Volume 250 - Issue 3 - p 449– 455. 10.1097/SLA.0b013e3181b45598 19730176 · DOI · Paper page
- [14]Cheung A, Haas B, Ringer TJ, McFarlan A, Wong CL. Canadian Study of Health and Aging Clinical Frailty Scale: Does It Predict Adverse Outcomes among Geriatric Trauma Patients?. J Am Coll Surg. 2017 11; 225(5): 658– 665.e3. 10.1016/j.jamcollsurg.2017.08.008. Epub 2017 Sep 6. 28888692 · DOI
- [15]Chow WB,, Optimal preoperative assessment of the geriatric surgical patient: a best practices guideline from the American College of Surgeons National Surgical Quality Improvement Program and the American Geriatrics Society. J Am Coll Surg, 2012. 215(4): p. 453– 66. 22917646
- [16]Hall DE, Arya S, Schmid KK, Blaser C, Carlson MA, Bailey TL, Purviance G, Bockman T, Lynch TG, Johanning J. Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations. JAMA Surg. 2017 2 1; 152(2) 175– 182. 10.1001/jamasurg.2016.4202. 27893030 PMC7140150 · DOI
- [17]Subramaniam S, Aalberg JJ, Soriano RP, Divino CM. New 5-Factor Modified Frailty Index Using American College of Surgeons NSQIP Data. J Am Coll Surg. 2018 2; 226(2) 173– 181. e8. 10.1016/j.jamcollsurg.2017.11.005. Epub 2017 Nov 16. 29155268 · DOI
- [18]Dent E Kowal P Hoogendijk EO 2016 6 Frailty measurement in research and clinical practice: A review Eur J Intern Med. 31 3 10 10.1016/j.ejim.2016.03.007. Epub 2016 Mar 31 27039014 · DOI
- [19]McDonald VS, Thompson KA, Lewis PR, Sise CB, Sise MJ, Shackford SR. Frailty in trauma: A systematic review of the surgical literature for clinical assessment tools. J Trauma Acute Care Surg. 2016 5; 80(5) 824– 834. 10.1097/TA.0000000000000981. 26881488 · DOI
- [20]Joseph B, Pandit V, Zangbar B, Kulvatunyou N, Tang A, O’Keeffe T, Green DJ, Vercruysse G, Fain MJ, Friese RS, Rhee P. Validating trauma-specific frailty index for geriatric trauma patients: a prospective analysis. J Am Coll Surg. 2014 7; 219(1): 10– 17. e1. 10.1016/j.jamcollsurg.2014.03.020. Epub 2014 Mar 19. 24952434 Erratum in: J Am Coll Surg. 2016 3; 222(3): 336. · DOI
- [22]Fried LP,, Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci, 2004; 59(3): p. 255– 263. 15031310
- [23]Khan MA,, Perioperative risk factors for 30-day mortality after bariatric surgery: is functional status important? Surg Endosc, 2013. 27(5): p. 1772– 7. 23299129
- [24]Ponzetto M,, Risk factors for early and late mortality in hospitalized older patients: the continuing importance of functional status. J Gerontol A Biol Sci Med Sci, 2003. 58(11): p. 1049– 54. 14630889
- [25]Cohen ME,, Effect of subjective preoperative variables on risk-adjusted assessment of hospital morbidity and mortality. Ann Surg, 2009. 249(4): p. 682– 9. 19300217
- [26]Kilic A,, Functional status is highly predictive of outcomes after redo lung transplantation: an analysis of 390 cases in the modern era. Ann Thorac Surg, 2013. 96(5): p. 1804– 11; discussion 1811. 23968759
- [27]de la Fuente SG, Bennett KM, and Scarborough JE, Functional status determines postoperative outcomes in elderly patients undergoing hepatic resections. J Surg Oncol, 2013; 107(8): 865– 70. 23585324
- [28]Lentine KL,, Impact of Functional Status on Outcomes of Simultaneous Pancreas-kidney Transplantation: Risks and Opportunities for Patient Benefit. Transplant Direct, 2020. 6(9): p. e599. 32903964 PMC7447442
- [29]Stienen MN, The influence of preoperative dependency on mortality, functional recovery and complications after microsurgical resection of intracranial tumors. J Neurooncol, 2018; 139(2): 441– 448. 29721751
- [30]Network E The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. 12/16/20]; Available from: https://www.equator-network.org/reporting-guidelines/strobe/. PMC2034723 17947786
- [31]White IR, Royston P, and Wood AM, Multiple imputation using chained equations: Issues and guidance for practice. Stat Med, 2011; 30(4): p. 377– 99. 21225900
- [32]Buuren S and Groothuis-Oudshoorn C, MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 2011. 45.
- [34]Little RJ,, The prevention and treatment of missing data in clinical trials. The New England journal of medicine, 2012; 367(14): p. 1355– 1360. 23034025 PMC3771340
- [36]Jones MP, Indicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression. Journal of the American Statistical Association, 1996. 91(433): p. 222– 230.
- [38]Tibshirani R, Regression Shrinkage and Selection Via the Lasso. Journal of the Royal Statistical Society: Series B (Methodological), 1996. 58(1): p. 267– 288.
- [39]Bien J, Taylor J, and Tibshirani R, A LASSO FOR HIERARCHICAL INTERACTIONS. Ann Stat, 2013. 41(3): p. 1111– 1141. 26257447 PMC4527358
- [40]Zhao Y and Long Q, Variable Selection in the Presence of Missing Data: Imputation-based Methods. Wiley Interdiscip Rev Comput Stat, 2017. 9(5). PMC5659333 29085552
- [41]Steyerberg EW,, Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology, 2010. 21(1): p. 128– 38. 20010215 PMC3575184
- [42]Cook NR, Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem, 2008. 54(1): p. 17– 23. 18024533
- [43]Freundlich RE,, Complications Associated With Mortality in the National Surgical Quality Improvement Program Database. Anesth Analg, 2018. 127(1): p. 55– 62. 29324497 PMC6150605
- [44]Naseer M, Forssell H, and Fagerström C, Malnutrition, functional ability and mortality among older people aged ⩾ 60 years: a 7-year longitudinal study. Eur J Clin Nutr, 2016. 70(3): p. 399– 404. 26603879
- [45]Curtis GL,, Dependent Functional Status is a Risk Factor for Perioperative and Postoperative Complications After Total Hip Arthroplasty. J Arthroplasty, 2019. 34(7s): p. S348– s351. 30685262
- [46]Minhas SV, Mazmudar AS, and Patel AA, Pre-operative functional status as a predictor of morbidity and mortality after elective cervical spine surgery. Bone Joint J, 2017. 99-b(6): p. 824– 828. 28566404
- [47]Kaplan RM, Chambers DA, and Glasgow RE, Big data and large sample size: a cautionary note on the potential for bias. Clin Transl Sci, 2014. 7(4): p. 342– 6. 25043853 PMC5439816
- Authors
- Clifton, J. C., Engoren, M., Shotwell, M. S., Martin, B. J., Clemens, E. M., Guillamondegui, O. D., & Freundlich, R. E.
- Affiliations
- Vanderbilt University Medical Center (US)
- University of Michigan (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Clifton, Jacob C.
- Venue
- Journal of Medical Systems
- Published
- 2021-11-25
- Volume
- 46
- Issue
- 1
- Pages
- 6-6
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- PMC
- PMC8709534
- OpenAlex
- W3216360311
- Cited by
- 16
- References
- 45
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 2
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- national heart, lung, and blood institute (K23HL148640)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Health Sciences › Medicine › Surgery › Total Knee Arthroplasty Outcomes
- Keywords
- functional dependencies, preoperative functional status, postoperative mortality, surgical complications, 30-day mortality, surgical risk, comorbidities, National Surgical Quality Improvement Program
- MeSH terms
- Functional Status, Adolescent, Humans, Postoperative Complications, Retrospective Studies, Risk Factors, Cohort Studies, Comorbidity, Quality Improvement
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