articleJournal of the American College of SurgeonsNov 20, 2017Closed access

New 5-Factor Modified Frailty Index Using American College of Surgeons NSQIP Data

Icahn School of Medicine at Mount Sinai

PubMed
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Abstract

Background

The modified frailty index (mFI-11) is a NSQIP-based 11-factor index that has been proven to adequately reflect frailty and predict mortality and morbidity. These 11 factors, made of 16 variables, map to the original 70-item Canada Study of Health and Aging Frailty Index. In past years, certain NSQIP variables have been removed from the database; as of 2015, only 5 of the original 11 factors remained. The predictive power and usefulness of these 5 factors in an index (mFI-5) have not been proven in past literature. The goal of our study was to compare the mFI-5 to the mFI-11 in terms of value and predictive ability for mortality, postoperative infection, and unplanned 30-day readmission. STUDY DESIGN: The mFI was calculated by dividing the number of factors present for a patient by the number of available factors for which there were no missing data. Spearman's rho was used to assess correlation between the mFI-5 and mFI-11. Predictive models, using both unadjusted and adjusted logistic regressions, were created for each outcome for 9 surgical sub-specialties using 2012 NSQIP data, the last year all mFI-11 variables existed.

Results

Correlation between the mFI-5 and mFI-11 was above 0.9 across all surgical specialties except for cardiac and vascular surgery. Adjusted and unadjusted models showed similar c-statistics for mFI-5 and mFI-11, and strong predictive ability for mortality and postoperative complications.

Citation impact

1,028
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References
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Citations per year

Authors

4

Topics & keywords

Keywords
  • Medicine
  • Frailty Index
  • Logistic regression
  • Index (typography)
  • Predictive value
  • Predictive power
  • Surgery
  • Emergency medicine
UN Sustainable Development Goals
  • Good health and well-being
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