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

Table 2.

Cross-sectional association of PIM use, defined by four different criteria, and prevalent frailty (N = 2,865 community-dwelling older adults; N = 261 frail at baseline)

Model PRISCUS PIM users
(N = 392)
EU(7) PIM users
(N = 1,074)
BEERS PIM users
(N = 757)
BEERS dementia PIM users
(N = 263)
OR (95%CI) OR (95%CI) OR (95%CI) OR (95%CI)
Crude model 2.54 (1.88, 3.42) 2.46 (1.90, 3.18) 2.49 (1.92, 3.23) 3.16 (2.28, 4.39)
Multivariable model 1a 2.16 (1.58, 2.95) 1.95 (1.49, 2.55) 2.03 (1.55, 2.66) 2.49 (1.77, 3.51)
Multivariable model 2b 1.31 (0.94, 1.83) 1.07 (0.80, 1.45) 1.23 (0.92, 1.64) 1.58 (1.10, 2.27)
Multivariable model 3c 1.32 (0.94, 1.85) 1.09 (0.81, 1.48) 1.17 (0.87, 1.58) 1.59 (1.10, 2.30)
Propensity score modeld 1.20 (0.86, 1.68) 1.13 (0.84, 1.53) 1.00 (0.73, 1.37) 1.51 (1.04, 2.17)

Note. Statistically significant results are in italics. CI, confidence interval; OR, odds 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 and total comorbidity score.

d Adjusted for propensity score deciles.