title: Frailty Index and Mortality in Nursing Home Residents in France: Results From the INCUR Study.
abstract: OBJECTIVE
  The objective of this study was to examine whether the capacity of an age-related deficit accumulation index (the so-called Frailty Index [FI] proposed by Rockwood) to predict mortality in a nursing home population.
  
  
  METHODS
  Data are from a longitudinal cohort study (ie, the Incidence of pNeumonia and related ConseqUences in nursing home Residents [INCUR]) of 773 older persons (74.4% women) living in 13 French nursing homes.
  
  
  METHODS
  The FI was computed as the ratio between actual and 30 potential deficits the participant might have presented at the baseline visit (range between 0 [no deficit] and 1 [30 deficits]). Death events were monitored and detected over a 12-month follow-up. The risk of death was estimated using Cox proportional hazards models.
  
  
  RESULTS
  Mean age of participants was 86.2 (SD 7.5) years, with a mean FI of 0.35 (SD 0.11). At the end of the follow-up, 135 (17.4%) death events were recorded. A positive association between the FI and mortality (per 0.01 FI increment: age- and gender-adjusted hazard ratio 1.018, 95% confidence interval 1.002-1.035, P = .03) was reported. The use of the traditional 0.25 cut-point for detecting the frailty status is inadequate in this population.
  
  
  CONCLUSIONS
  The FI is able to predict mortality even in very old and complex elders, such as nursing home residents.
authors.affiliation: INSERM U 897, Université de Bordeaux, Bordeaux, France; Centre Hospitalier Villeneuve-sur-Lot, Villeneuve-sur-Lot, France. Electronic address: maturin.tabue-teguo@isped.u-bordeaux2.fr.
authors.forename: Maturin
authors.initials: M
authors.lastname: Tabue-Teguo
authors.affiliation: Institut du Vieillissement, Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
authors.forename: Eirini
authors.initials: E
authors.lastname: Kelaiditi
authors.affiliation: Institut du Vieillissement, Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
authors.forename: Laurent
authors.initials: L
authors.lastname: Demougeot
authors.affiliation: INSERM U 897, Université de Bordeaux, Bordeaux, France.
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Dartigues
authors.affiliation: Institut du Vieillissement, Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; INSERM UMR1027, Université de Toulouse III Paul Sabatier, Toulouse, France.
authors.forename: Bruno
authors.initials: B
authors.lastname: Vellas
authors.affiliation: Institut du Vieillissement, Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; INSERM UMR1027, Université de Toulouse III Paul Sabatier, Toulouse, France.
authors.forename: Matteo
authors.initials: M
authors.lastname: Cesari
mesh_terms: D000369:Aged, 80 and over; D005260:Female; D016330:Frail Elderly; D005602:France / Q000453:epidemiology; D006801:Humans; D008297:Male; D009026:Mortality / Q000639:trends*; D009735:Nursing Homes
keywords: Frailty Index; cohort study; epidemiology; nursing home