Cited by 2,184Frailty in Older AdultsCardiac, Anesthesia and Surgical OutcomesHip and Femur Fractures

Frailty as a predictor of surgical outcomes in older patients

Makary, Martin A., Segev, Dorry L., Pronovost, Peter J., Syin, Dora, Bandeen-Roche, Karen, Patel, Purvi, Takenaga, Ryan, Devgan, Lara +3 more·2010·Journal of the American College of Surgeons

Abstract

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.

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Crossref · 10.1016/j.jamcollsurg.2010.01.028

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Authors
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., & Fried, L. P.
Affiliations
Johns Hopkins University (US)
Corresponding author
Makary, Martin A.
Venue
Journal of the American College of Surgeons
Published
2010-06
Volume
210
Issue
6
Pages
901-908
ISSN
1072-7515 (ISSN-L)
OpenAlex
W2107640783
Cited by
2,184
References
6
Citations by year
2026: 159 · 2025: 113 · 2024: 126 · 2023: 138 · 2022: 135 · 2021: 161 · 2020: 181 · 2019: 193 · 2018: 161 · 2017: 195 · 2016: 175 · 2015: 135 · 2014: 114 · 2013: 81 · 2012: 72
FWCI
24.83
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American College of Surgeons (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5r37ag019905-10)
  • National Institute on Aging (R37-AG019905, P30AG021334)
  • National Center for Research Resources (T32RR023253)
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
  • Health Sciences › Medicine › Surgery › Hip and Femur Fractures
Keywords
frailty, older surgical patients, postoperative complications, preoperative risk assessment, length of hospital stay, discharge disposition, frailty index, physiological reserve
MeSH terms
Aged, Female, Humans, Length of Stay, Male, Postoperative Complications, Predictive Value of Tests, Prospective Studies, Risk Factors, Geriatric Assessment, Comorbidity, Incidence, Logistic Models, Frail Elderly, Outcome Assessment, Health Care, Elective Surgical Procedures, Risk Assessment, Area Under Curve

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