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Abstract Number: 48

Polypharmacy Is a Predictor of Hospitalisation in Patients with Rheumatoid Arthritis

Maria Filkova1, Joao Carvalho1, Sam Norton2, David L. Scott1, Tim Mant3, Andrew P. Cope1, Mariam Molokhia4 and James Galloway1, 1Academic Department of Rheumatology, King´s College London, London, United Kingdom, 2Department of Psychological Medicine, King´s College London, London, United Kingdom, 3Quintiles Drug Research Unit at Guy's Hospital, London, London, United Kingdom, 4Division of Health and Social Care Research, King´s College London, London, United Kingdom

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: Rheumatoid arthritis (RA)

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Session Information

Date: Sunday, November 8, 2015

Title: Epidemiology and Public Health Poster I: Comorbidities and Outcomes of Systemic Inflammatory Diseases

Session Type: ACR Poster Session A

Session Time: 9:00AM-11:00AM

Background/Purpose: Multimorbidity is a major problem in rheumatoid arthritis (RA) but is difficult to measure. Polypharmacy (PP) – co-prescribing an individual multiple medications – is considered a surrogate marker for the burden of multimorbidity. We evaluated the inter-relationships between PP, disease characteristics and acute hospital admissions in a retrospective cohort study of RA patients managed at one large UK specialist centre.

Methods: Routinely captured data were retrospectively analysed. All patients under care at the centre in May 2013 with a diagnosis of RA were included. Information on PP was extracted from the electronic record. Cox proportional hazards were used compare hospitalization risk according to levels of PP over the subsequent 18-months. Follow up was censored at date of first admission or study end, whichever came first. Further analysis explored relationships between DMARD prescribing and hospitalisation risk. All acute admissions were manually reviewed by two independent clinicians and adjudicated to determine whether an adverse drug reaction (ADR) or drug interaction was implicated.

Results: 1,101 RA patients were studied; their baseline features are shown in the table. The mean number of medications was 5, 29% of patients were on 6-9 medications and 11% on ≥10 medications. PP correlated with increasing age, longer disease duration, higher disease activity and disability (Table). In total 173 patients had at least one unplanned admission during follow up (overall incidence 11/100 patient years (95% CI 9 to 13). Patients on ≥10 medications had an age and gender adjusted hazard ratio for hospitalisation of 3.1 (95% CI 2.1 to 4.5) compared to those on <6. Different DMARD prescription strategies were not significantly associated with hospitalisation risk; steroid use associated with a doubling in risk 2.3 (95% CI 1.6 to 3.1). The most common reason for hospitalisation was infection 44/173 (28%), which was not significantly different across PP strata (p= 0.242). In half of all admissions, an ADR was a possible contributing factor. However, only 4 admissions were definitely a direct result of an ADR. Of these, 2 were related to over anticoagulation, 1 in the setting of co-prescription of leflunomide with warfarin.

Conclusion: PP is prevalent in RA patients and correlates to more severe disease as well as a higher rate of hospitalisation. What is unclear is whether or not PP is harmful. Review of the individual hospitalisations revealed very few admissions definitely attributable to an adverse drug reaction. However, there were many possible relationships (e.g. in cases of infection in patients on DMARDs), making a true understanding of the causal relationship between PP and hospitalisation unclear. Irrespective, PP does appear to reflect comorbidity well and represents a useful tool to adjust for confounding in epidemiologic analyses.

Table

Baseline characteristic

All patients

0-5 medications

6-9 medications

≥10 medications

p value*

Number of subjects, n

1101

658

320

123

Age

61.34 (16.00)

57.6 (16.3)

66.6 (14)

67.7 (13.3)

0.0001

Gender  (% female)

78.8

76.8

83.1

78.1

0.07

DAS28 mean (SD)

3.65 (1.61)

3.33 (1.60)

4.06 (1.56)

4.24 (1.38)

0.0001

HAQ (SD)

1.35 (0.93)

1.02 (0.90)

1.66 (0.81)

2.04 (0.74)

0.0001

Disease duration (SD)

10.42 (9.93)

9.15 (8.66)

11.93 (10.68)

13.45 (12.92)

0.0002

DMARD prescribing strategy (%)

Mono

45

49

42

32

0.001

Dual

26

24

29

27

0.19

Triple

8

7

8

12

0.09

Biologic

22

17

33

19

<0.000

Hospitalisation data

Exposure (person-years)

1599

983

469

147

Events, n

173

75

50

48

Incidence /100 years (95% CI)

7.6 (6.1, 9.6)

10.7 (8.1, 14.1)

32.6 (24.6, 43.2)

Unadjusted HR (95% CI)

Ref

1.4 (1.0, 2.0)

4.2 (2.9, 6.0)

Adjusted HR (95% CI)

Ref

1.0 (0.7, 1.5)

3.1 (2.1, 4.5)

Analysis of causal relationship between medication and admission

Was an ADR responsible for the admission

Definitely

Probably

Possibly

Unlikely

n (%)

4 (2.3)

8 (4.6)

74 (42.8)

87 (50.3)

If and ADR was implicated, was an RA drug involved,

 n (% of ADRs)

2 (50)

4 (50)

39 (52.7)

N/A

Corticosteroid involved, n

0

0

8

N/A

Any DMARD involved, n

2

3

26

N/A

Biologic involved, n

0

3

9

N/A

Was a major drug-drug interaction present on the admission medication, n

2

3

6

N/A

Were any minor drug-drug interactions present on the admission medication, n

1

5

57

N/A

*p value for significance across medication strata using either Kruskal Wallis or Chi2 (for dichotomous variables) tests


Disclosure: M. Filkova, None; J. Carvalho, None; S. Norton, None; D. L. Scott, None; T. Mant, None; A. P. Cope, None; M. Molokhia, None; J. Galloway, None.

To cite this abstract in AMA style:

Filkova M, Carvalho J, Norton S, Scott DL, Mant T, Cope AP, Molokhia M, Galloway J. Polypharmacy Is a Predictor of Hospitalisation in Patients with Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/polypharmacy-is-a-predictor-of-hospitalisation-in-patients-with-rheumatoid-arthritis/. Accessed .
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