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. 2019 Nov 16;49(1):20–25. doi: 10.1093/ageing/afz127

Table 3.

Longitudinal association of PIM use, defined by four different criteria, and incident frailty (N = 2,011 community-dwelling older adults, N = 423 incident frailty cases during 6 years for FUP)

Model PRISCUS PIM users
(N = 250)
EU(7) PIM users
(N = 689)
BEERS PIM users
(N = 498)
BEERS dementia PIM users
(N = 161)
HR (95%CI) HR (95%CI) HR (95%CI) HR (95%CI)
Crude model 1.50 (1.16, 1.93) 1.63 (1.35, 1.97) 1.89 (1.55, 2.31) 1.80 (1.32, 2.46)
Multivariable model 1a 1.43 (1.11, 1.84) 1.42 (1.17, 1.73) 1.65 (1.35, 2.02) 1.58 (1.15, 2.19)
Multivariable model 2b 1.09 (0.84, 1.41) 1.07 (0.86, 1.32) 1.31 (1.06, 1.63) 1.22 (0.88, 1.70)
Multivariable model 3c 0.99 (0.75, 1.30) 1.00 (0.81, 1.23) 1.34 (1.08, 1.66) 1.17 (0.83, 1.65)
Propensity score modeld 0.92 (0.69, 1.23) 0.97 (0.78, 1.21) 1.17 (0.92, 1.48) 1.19 (0.84, 1.68)

Note. Statistically significant results are in italics. CI, confidence interval; HR, hazard ratio; PIM, potentially inappropriate medication

a Adjusted for age and sex.

b Adjusted for age, sex and the number of medicines.

c Adjusted for age, sex, the number of medicines, school education, net household income, smoking status, body mass index, total comorbidity score and baseline pre-frailty.

d Adjusted for propensity score deciles.