The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Preoperative Frailty and Quality of Life as Predictors of Postoperative Complications
Abstract
BACKGROUND: Prediction of postoperative complications has been based on assessing comorbidities. However, the evaluation of these comorbidities has not consistently identified those at higher risk of complications, primarily due to the inability to assess how these comorbidities affect functional status. We hypothesized that preoperative functional measures of patients' health status can predict postoperative complications. METHODS: A sample of patients undergoing general surgical operations were reviewed for age, gender, diagnosis (for severity), operations (for complexity), number of comorbidities, preoperative frailty (as determined by the Canadian Study of Health and Ageing Frailty Index), preoperative quality of life (as determined by the SF-36), occurrence of postoperative complications, number of postoperative complications, and severity of complications. Data were analyzed by linear and multiple logistic regression analyses, and the Mann-Whitney U test. RESULTS: Two hundred and twenty-six patients were evaluated, average age 61 ± 13 years, 47% male patients. Frailty Index (FI) correlated with number of comorbidities (r = 0.61, P < 0.001), and all of the domains of the SF-36. Patients who had postoperative complications had higher median preoperative FI than those would did not [0.075 (IQR 0.046-0.118) vs. 0.059 (IQR 0.045-0.089), P = 0.007]. Multiple logistic regression analysis demonstrated that operation complexity, FI, and the role-emotional domain were associated with and increased risk of postoperative complications, whereas the bodily pain domain was associated with a lower risk of postoperative complications. CONCLUSIONS: This study demonstrates that preoperative functional status as measured by FI and SF-36 may help identify patients at higher risk of postoperative complications. In our ageing population, use of such measures may help in better patient selection.
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Cites
Dindo, D., Demartines, N., & Clavien, P.-A. (2004) · Annals of Surgery · doi:10.1097/01.sla.0000133083.54934.ae · Cited by 31,378
Accumulation of Deficits as a Proxy Measure of Aging
Mitnitski, A. B., Mogilner, A. J., & Rockwood, K. (2001) · The Scientific World JOURNAL · doi:10.1100/tsw.2001.58 · Cited by 2,893
Frailty as a predictor of surgical outcomes in older patients
Makary, M. A., Segev, D. L., Pronovost, P. J., Syin, D., Bandeen-Roche, K., Patel, P., Takenaga, R., Devgan, L., Holzmueller, C. G., Tian, J., et al. (2010) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2010.01.028 · Cited by 2,184
A comparison of two approaches to measuring frailty in elderly people
Rockwood, K., Andrew, M., & Mitnitski, A. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.7.738 · Cited by 1,291
Phenotype of frailty: characterization in the women's health and aging studies
Bandeen-Roche, K., Xue, Q.-L., Ferrucci, L., Walston, J., Guralnik, J. M., Chaves, P., Zeger, S. L., & Fried, L. P. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.3.262 · Cited by 1,215
Lee, D. H., Buth, K. J., Martin, B.-J., Yip, A. M., & Hirsch, G. M. (2010) · Circulation · doi:10.1161/circulationaha.108.841437 · Cited by 680
Ford, M. K., Beattie, W. S., & Wijeysundera, D. N. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-152-1-201001050-00007 · Cited by 549
Shall we operate? Preoperative assessment in elderly cancer patients (PACE) can help
(2008) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2007.11.001 · Cited by 463
Frailty: An Emerging Geriatric Syndrome
Ahmed, N., Mandel, R., & Fain, M. J. (2007) · The American Journal of Medicine · doi:10.1016/j.amjmed.2006.10.018 · Cited by 447
Postoperative Complications in Obese and Nonobese Patients
Bamgbade, O. A., Rutter, T. W., Nafiu, O. O., & Dorje, P. (2007) · World Journal of Surgery · doi:10.1007/s00268-006-0305-0 · Cited by 365
Cited by
Simple frailty score predicts postoperative complications across surgical specialties
Robinson, T. N., Wu, D. S., Pointer, L., Dunn, C. L., Cleveland, J. C., & Moss, M. (2013) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2013.03.012 · Cited by 513
Association of Preoperative Patient Frailty and Operative Stress With Postoperative Mortality
Shinall, M. C., Arya, S., Youk, A., Varley, P., Shah, R., Massarweh, N. N., Shireman, P. K., Johanning, J. M., Brown, A. J., Christie, N. A., et al. (2020) · JAMA Surgery · doi:10.1001/jamasurg.2019.4620 · Cited by 389
A modified frailty index to assess morbidity and mortality after lobectomy
Tsiouris, A., Hammoud, Z. T., Velanovich, V., Hodari, A., Borgi, J., & Rubinfeld, I. (2013) · Journal of Surgical Research · doi:10.1016/j.jss.2012.11.059 · Cited by 271
Self-citationLevolger, S., van Vugt, J. L. A., de Bruin, R. W. F., & IJzermans, J. N. M. (2015) · British Journal of Surgery · doi:10.1002/bjs.9893 · Cited by 270
Simplified Frailty Index to Predict Adverse Outcomes and Mortality in Vascular Surgery Patients
Karam, J., Tsiouris, A., Shepard, A., Velanovich, V., & Rubinfeld, I. (2013) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2012.09.015 · Cited by 263
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Metadata
- Authors
- Saxton, A., & Velanovich, V.
- Venue
- Annals of Surgery
- Published
- 2011-06
- Volume
- 253
- Issue
- 6
- Pages
- 1223-1229
- ISSN
- 0003-4932 (ISSN-L)
- OpenAlex
- W2041500148
- Cited by
- 273
- References
- 25
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- closed
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