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Table 3 Determinants of potentially inappropriate prescribing in the study population (multivariate analysis)

From: Detection of potentially inappropriate prescribing in the very old: cross-sectional analysis of the data from the BELFRAIL observational cohort study

 

Covariates

OR [95 % CI]

p value

START-PIP

   
 

ADL lowest quintilea

0.8 [0.4–1.5]

0,523

 

Age, per year

1.0 [0.9–1.1]

0,227

 

CIRS >4

1.0

 
 

CIRS <4

0.2 [0.1–0.3]

<0,001

 

CIRS=4

0.6 [0.3–1.1]

0,090

 

GDS-15 >4b

1.2 [0.7–2.0]

0,442

 

Gender, women

0.9 [0.6–1.4]

0,727

 

Tinetti ≤ 18c

1.0

 
 

Tinetti 25–28

0.5 [0.2–1.2]

0,130

 

Tinetti 19–24

0.9 [0.3–2.2]

0,840

STOPP-PIP

   
 

ADL lowest quintile

1.5 [1.0–2.4]

0.050

 

Age, per year

1.0 [0.9–1.0]

0.957

 

Gender, women

1.2 [0.9–1.8]

0.211

 

Resident in a nursing home

1.8 [0.9–3.2]

0.056

BEERS-PIP

   
 

ADL lowest quintile

1.1 [0.7–1.9]

0.558

 

Age, per year

0.9 [0.9–1.0]

0.515

 

CIRS >4

1.0

 
 

CIRS < 4

0.4 [0.3–0.7]

<0.001

 

CIRS = 4

0.6 [0.4–0.9]

0.041

 

GDS-15 >4

1.5 [0.9–2.3]

0.094

 

Gender, women

1.2 [0.8–1.8]

0.364

 

Resident in a nursing home

1.8 [1.0–3.4]

0.045

  1. Hosmer-Lemeshow goodness-of-fit P-value for START = 0.42; STOPP = 0.15; Beers = 0.89 indicating that the models are a good fit for the data
  2. Abbreviations: ADL activities of daily living, CI confidence interval, CIRS cumulative illness rating scale, GDS geriatric depression scale, OR odds ratio, PIPs potentially inappropriate prescribing
  3. aADL lowest quintile: lower ADL score is related to functional dependency
  4. bGDS-15 score >4 was considered as “possible depression”
  5. cTinetti score >24 was considered as “low fall risk”; ≤ 18 was “high fall risk”