TY - JOUR
T1 - Frailty as a Predictor of Surgical Outcomes in Older Patients
AU - Makary, Martin A.
AU - Segev, Dorry L.
AU - Pronovost, Peter J.
AU - Syin, Dora
AU - Bandeen-Roche, Karen
AU - Patel, Purvi
AU - Takenaga, Ryan
AU - Devgan, Lara
AU - Holzmueller, Christine G.
AU - Tian, Jing
AU - Fried, Linda P.
N1 - Funding Information:
Supported by grants from the National Institutes of Health (grant 1T32RR023253-01 ), and the National Institute of Aging, Older Americans Independence Center (grant P30 AG021334 ); the Johns Hopkins Center for Innovative Medicine for a Cosner Scholar; the American Geriatrics Society Jahnigen Scholars Program, The Hartford Foundation; and the American Federation of Aging, Research Training in Aging Program and the Mr and Mrs Chad and Nissa Richison Family Foundation.
PY - 2010/6
Y1 - 2010/6
N2 - Background: Preoperative risk assessment is important yet inexact in older patients because physiologic reserves are difficult to measure. Frailty is thought to estimate physiologic reserves, although its use has not been evaluated in surgical patients. We designed a study to determine if frailty predicts surgical complications and enhances current perioperative risk models. Study Design: We prospectively measured frailty in 594 patients (age 65 years or older) presenting to a university hospital for elective surgery between July 2005 and July 2006. Frailty was classified using a validated scale (0 to 5) that included weakness, weight loss, exhaustion, low physical activity, and slowed walking speed. Patients scoring 4 to 5 were classified as frail, 2 to 3 were intermediately frail, and 0 to 1 were nonfrail. Main outcomes measures were 30-day surgical complications, length of stay, and discharge disposition. Multiple logistic regression (complications and discharge) and negative binomial regression (length of stay) were done to analyze frailty and postoperative outcomes associations. Results: Preoperative frailty was associated with an increased risk for postoperative complications (intermediately frail: odds ratio [OR] 2.06; 95% CI 1.18-3.60; frail: OR 2.54; 95% CI 1.12-5.77), length of stay (intermediately frail: incidence rate ratio 1.49; 95% CI 1.24-1.80; frail: incidence rate ratio 1.69; 95% CI 1.28-2.23), and discharge to a skilled or assisted-living facility after previously living at home (intermediately frail: OR 3.16; 95% CI 1.0-9.99; frail: OR 20.48; 95% CI 5.54-75.68). Frailty improved predictive power (p < 0.01) of each risk index (ie, American Society of Anesthesiologists, Lee, and Eagle scores). Conclusions: Frailty independently predicts postoperative complications, length of stay, and discharge to a skilled or assisted-living facility in older surgical patients and enhances conventional risk models. Assessing frailty using a standardized definition can help patients and physicians make more informed decisions.
AB - Background: Preoperative risk assessment is important yet inexact in older patients because physiologic reserves are difficult to measure. Frailty is thought to estimate physiologic reserves, although its use has not been evaluated in surgical patients. We designed a study to determine if frailty predicts surgical complications and enhances current perioperative risk models. Study Design: We prospectively measured frailty in 594 patients (age 65 years or older) presenting to a university hospital for elective surgery between July 2005 and July 2006. Frailty was classified using a validated scale (0 to 5) that included weakness, weight loss, exhaustion, low physical activity, and slowed walking speed. Patients scoring 4 to 5 were classified as frail, 2 to 3 were intermediately frail, and 0 to 1 were nonfrail. Main outcomes measures were 30-day surgical complications, length of stay, and discharge disposition. Multiple logistic regression (complications and discharge) and negative binomial regression (length of stay) were done to analyze frailty and postoperative outcomes associations. Results: Preoperative frailty was associated with an increased risk for postoperative complications (intermediately frail: odds ratio [OR] 2.06; 95% CI 1.18-3.60; frail: OR 2.54; 95% CI 1.12-5.77), length of stay (intermediately frail: incidence rate ratio 1.49; 95% CI 1.24-1.80; frail: incidence rate ratio 1.69; 95% CI 1.28-2.23), and discharge to a skilled or assisted-living facility after previously living at home (intermediately frail: OR 3.16; 95% CI 1.0-9.99; frail: OR 20.48; 95% CI 5.54-75.68). Frailty improved predictive power (p < 0.01) of each risk index (ie, American Society of Anesthesiologists, Lee, and Eagle scores). Conclusions: Frailty independently predicts postoperative complications, length of stay, and discharge to a skilled or assisted-living facility in older surgical patients and enhances conventional risk models. Assessing frailty using a standardized definition can help patients and physicians make more informed decisions.
UR - https://www.scopus.com/pages/publications/77952545245
UR - https://www.scopus.com/pages/publications/77952545245#tab=citedBy
U2 - 10.1016/j.jamcollsurg.2010.01.028
DO - 10.1016/j.jamcollsurg.2010.01.028
M3 - Article
C2 - 20510798
AN - SCOPUS:77952545245
SN - 1072-7515
VL - 210
SP - 901
EP - 908
JO - Journal of the American College of Surgeons
JF - Journal of the American College of Surgeons
IS - 6
ER -