Simplified frailty index to predict adverse outcomes and mortality in vascular surgery patients.

BACKGROUND Frailty has been established as an important predictor of health-care outcomes. We hypothesized that the use of a modified frailty index would be a predictor of mortality and adverse occurrences in vascular surgery patients. METHODS Under the data use agreement of the American College of Surgeons, and with institutional review board (IRB) approval, the National Surgical Quality Improvement Program (NSQIP) Participant Utilization File was accessed for the years 2005-2008 for inpatient vascular surgery patients. Using the Canadian Study of Health and Aging Frailty Index (FI), 11 variables were matched to the NSQIP database. An increase in FI implies increased frailty. The outcomes assessed were mortality, wound infection, and any occurrence. We then compared the effect of FI, age, functional status, relative value units (RVU), American Society of Anesthesiology (ASA) score, and wound status on mortality. Statistical analysis was done using chi-square analysis and stepwise logistic regression. RESULTS A total of 67,308 patients were identified in the database, 3913 wound occurrences, 6691 infections, 12,847 occurrences of all kinds, and 2800 deaths. As the FI increased, postoperative wound infection, all occurrences, and mortality increased (P < 0.001). Stepwise logistic regression using the FI with the NSQIP variables of age, work RVU, ASA class, wound classification, emergency status, and functional status showed FI to have the highest odds ratio (OR) for mortality (OR = 2.058, P < 0.001). CONCLUSIONS A simplified FI can be obtained by easily identifiable patient characteristics, allowing for accurate prediction of postoperative morbidity and mortality in the vascular surgery population.

[1]  N. Demartines,et al.  Classification of Surgical Complications: A New Proposal With Evaluation in a Cohort of 6336 Patients and Results of a Survey , 2004, Annals of Surgery.

[2]  Kenneth Rockwood,et al.  Frailty defined by deficit accumulation and geriatric medicine defined by frailty. , 2011, Clinics in geriatric medicine.

[3]  A. Moskowitz,et al.  Trends, complications, and mortality in peripheral vascular surgery. , 2006, Journal of vascular surgery.

[4]  I. McDowell,et al.  A global clinical measure of fitness and frailty in elderly people , 2005, Canadian Medical Association Journal.

[5]  M. Makary,et al.  Frailty as a predictor of surgical outcomes in older patients. , 2010, Journal of the American College of Surgeons.

[6]  Thomas N. Robinson,et al.  Redefining Geriatric Preoperative Assessment Using Frailty, Disability and Co-Morbidity , 2009, Annals of surgery.

[7]  M. Englesbe,et al.  Frailty, core muscle size, and mortality in patients undergoing open abdominal aortic aneurysm repair. , 2011, Journal of vascular surgery.

[8]  James Waterman Glover United States Life Tables , 2013 .

[9]  V. Velanovich,et al.  Preoperative Frailty and Quality of Life as Predictors of Postoperative Complications , 2011, Annals of surgery.

[10]  M. Fain,et al.  Frailty: an emerging geriatric syndrome. , 2007, The American journal of medicine.

[11]  Kenneth Rockwood,et al.  Prevalence and 10‐Year Outcomes of Frailty in Older Adults in Relation to Deficit Accumulation , 2010, Journal of the American Geriatrics Society.

[12]  A. Mitnitski,et al.  Physiological Redundancy in Older Adults in Relation to the Change with Age in the Slope of a Frailty Index , 2010, Journal of the American Geriatrics Society.

[13]  C. Ko,et al.  The Aging Population and Its Impact on the Surgery Workforce , 2003, Annals of surgery.

[14]  R. Anderson,et al.  United States life tables, 1999. , 2002, National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.

[15]  A. Mitnitski,et al.  A comparison of two approaches to measuring frailty in elderly people. , 2007, The journals of gerontology. Series A, Biological sciences and medical sciences.

[16]  J. Vaupel,et al.  The impact of heterogeneity in individual frailty on the dynamics of mortality , 1979, Demography.

[17]  M.W.G. Nijhuis-van der Sanden,et al.  Outcome instruments to measure frailty: A systematic review , 2011, Ageing Research Reviews.