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Abstract Number: 467

Smoking and Opioid Use Is Associated with Symptom Severity in Rheumatoid Arthritis

Angela Karellis1,2, Emmanouil Rampakakis3, John S. Sampalis1,4, Martin Cohen5, Michael Starr5, Peter Ste-Marie6, Yoram Shir6, Mark Ware6 and MaryAnn FitzCharles6,7, 1JSS Medical Research, St-Laurent, QC, Canada, 2Department of Surgery, McGill University, Montreal, QC, Canada, 3JSS Medical Research, Montreal, QC, Canada, 4McGill University, Montreal, QC, Canada, 5Rheumatology, McGill University Health Centre, Montreal, QC, Canada, 6Alan Edwards Pain Management Unit, McGill University Health Centre, Montreal, QC, Canada, 7Rheumatology, McGill University, Montreal, QC, Canada

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: opioids, rheumatoid arthritis (RA) and tobacco use

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Session Information

Date: Sunday, November 5, 2017

Title: Rheumatoid Arthritis – Clinical Aspects Poster I: Treatment Patterns and Response

Session Type: ACR Poster Session A

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

Smoking and Opioid Use Is Associated with Symptom Severity in Rheumatoid Arthritis

Background/Purpose: Cigarette smoking, both current and past, is a risk for incident rheumatoid arthritis (RA), even for those with low exposure rates of 1-10 pack years. As smoking is associated with opioid use in patients with chronic pain, the aim of the current analysis was to examine disease status for RA patients and the relationship between current cigarette smoking and opioid use.

Methods: As part of a study to evaluate cigarette and marijuana smoking in rheumatic disease patients, 1000 consecutively attending rheumatology patients completed an anonymous self-administered questionnaire including:  pain severity on visual analog scale (VAS), patient global assessment (PtGA) and cigarette or marijuana smoking status. Concomitant physician recorded information included: diagnosis, sociodemographics, co-morbidities, treatments for RA and physician global assessment (PGA). Patients were categorized according to current smoking status and opioid use. Patient characteristics were compared between groups with one-way ANOVA.

Results: 248 patients were diagnosed with RA [mean (SD) age = 62.4 (14.3) years and 77.4% female] stratified by smoking status and opioid use: 9 patients were current smokers and opioid users, 186 patients non-smokers and non-opioid users, and 53 patients current smokers or opioid users (Table 1). Unemployment/ disability was statistically different between groups (current smokers & opioid users vs. non-smokers & non-opioid users vs. current smokers or opioid users: 11.1% vs. 3.3% vs. 13.5%; p = 0.015). Current smokers and opioid users reported significantly worse disease, including higher PGA (p < 0.001), PtGA (p = 0.021) and pain VAS (p = 0.001), followed by current smokers or opioid users. In regard to medication use, current smokers and opioid users took significantly more medications for disease management (p < 0.001), specifically NSAIDs (p = 0.019) and anti-epileptics (p = 0.020) with a trend towards more antidepressant use (p = 0.088).

Conclusion: Current smoking and opioid use is significantly associated with increased disease severity and other medication use, indicating that RA patients who smoke experience greater symptom severity and may use chemical coping methods to alleviate symptoms.


Table 1. Patient Profile by Smoking Status and Opioid Use

All patients (N=248)

Current smokers & opioid users (n = 9)

Non-smokers & non-opioid users

(n = 186)

Current smokers or opioid users

(n = 53)

p-value

Demo-graphics

Age, years, mean (SD)

62.4 (14.3)

59.6 (11.8)

62.9 (15.2)

61.3 (11.3)

0.656

Female gender, n (%)

192 (77.4%)

7 (77.8%)

147 (79.0%)

38 (71.7%)

0.530

Employment

0.116

Full-time, n (%)

83 (33.9%)

3 (33.3%)

61 (33.2%)

19 (36.5%)

Part-time, n (%)

8 (3.3%)

0 (0.0%)

4 (2.2%)

4 (7.7%)

Student, n (%)

2 (0.8%)

0 (0.0%)

2 (1.1%)

0 (0.0%)

Unemployed, n (%)

3 (1.2%)

0 (0.0%)

2 (1.1%)

1 (1.9%)

Disabled, n (%)

11 (4.5%)

1 (11.1%)

4 (2.2%)

6 (11.5%)

Retired, n (%)

119 (48.6%)

4 (44.4%)

94 (51.1%)

21 (40.4%)

Homemaker, n (%)

19 (7.8%)

1 (11.1%)

17 (9.2%)

1 (1.9%)

Employment: unemployed/disabled

0.0151

Yes, n (%)

14 (5.7%)

1 (11.1%)

6 (3.3%)

7 (13.5%)

No, n (%)

231 (94.3%)

8 (88.9%)

178 (96.7%)

45 (86.5%)

Comorbid conditions

Cardiovascular, n (%)

74 (29.8%)

3 (33.3%)

57 (30.6%)

14 (26.4%)

0.816

Pulmonary, n (%)

14 (5.6%)

1 (11.1%)

10 (5.4%)

3 (5.7%)

0.767

Gastrointestinal, n (%)

25 (10.1%)

0 (0.0%)

22 (11.8%)

3 (5.7%)

0.249

Neurological, n (%)

4 (1.6%)

0 (0.0%)

3 (1.6%)

1 (1.9%)

0.917

Endocrine, n (%)

50 (20.2%)

1 (11.1%)

38 (20.4%)

11 (20.8%)

0.787

Mood disorder, n (%)

26 (10.5%)

2 (22.2%)

18 (9.7%)

6 (11.3%)

0.475

Other psychiatric disorder, n (%)

1 (0.4%)

0 (0.0%)

1 (0.5%)

0 (0.0%)

0.846

Lipid disorder, n (%)

31 (12.5%)

2 (22.2%)

21 (11.3%)

8 (15.1%)

0.508

Other comorbid condition, n (%)

17 (6.9%)

1 (11.1%)

14 (7.5%)

2 (3.8%)

0.556

Medica-tions for rheumatic diseases

Number of medication types for rheumatic disease, mean (SD)

2.0 (1.1)

3.6 (1.3)

1.8 (1.0)

2.3 (1.1)

< 0.001

Non-steroidal anti-inflammatory drug use, n (%)

110 (44.4%)

7 (77.8%)

74 (39.8%)

29 (54.7%)

0.019

Disease-modifying anti-rheumatic drug use, n (%)

184 (74.2%)

7 (77.8%)

134 (72.0%)

43 (81.1%)

0.398

Biologic use, n (%)

70 (28.2%)

2 (22.2%)

48 (25.8%)

20 (37.7%)

0.216

Opioids use, n (%)

23 (9.3%)

9 (100.0%)

0 (0.0%)

14 (26.4%)

< 0.001

Tranquilizer use, n (%)

3 (1.2%)

0 (0.0%)

3 (1.6%)

0 (0.0%)

0.603

Antiepileptic use, n (%)

12 (4.8%)

2 (22.2%)

6 (3.2%)

4 (7.5%)

0.020

Antidepressant use, n (%)

14 (5.6%)

2 (22.2%)

9 (4.8%)

3 (5.7%)

0.088

Steroid use, n (%)

73 (29.4%)

3 (33.3%)

60 (32.3%)

10 (18.9%)

0.163

Disease assessment

Physician Global Assessment (PGA) (0-10), mean (SD)

2.7 (2.3)

4.4 (1.6)

2.3 (2.2)

3.8 (2.4)

< 0.001

Patient Global Assessment (PtGA) (0-10), mean (SD)

3.2 (2.7)

4.5 (2.5)

2.9 (2.6)

3.9 (2.8)

0.021

Pain, VAS cm, mean (SD)

4.0 (2.9)

6.6 (2.0)

3.7 (2.7)

4.9 (3.1)

0.001

Cigarette use

Past cigarette use

n (%)

145 (58.5%)

9 (100.0%)

89 (47.8%)

47 (88.7%)

< 0.001

Years, mean (SD)2

26.5 (13.6)

40.0 (13.2)

21.9 (11.4)

32.5 (13.5)

< 0.001

Cigarettes/day, mean (SD)2

15.3 (8.0)

21.1 (12.4)

15.6 (7.7)

13.6 (7.1)

0.042

Current cigarette use

n (%)

46 (18.7%)

9 (100.0%)

0 (0.0%)

37 (72.5%)

< 0.001

Cigarettes/day, mean (SD)2

13.2 (9.7)

20.1 (12.9)

NA

11.5 (8.1)

0.015

Herbal cannabis use3

Recreational herbal cannabis use

Ever use, n (%)

35 (14.2%)

3 (33.3%)

22 (11.9%)

10 (19.2%)

0.101

Current use, n (%)

3 (8.6%)

0 (0.0%)

3 (13.6%)

0 (0.0%)

0.379

Medical herbal cannabis use

Ever use, n (%)4

4 (1.6%)

0 (0.0%)

2 (1.1%)

2 (3.8%)

0.363

More than 10 times, n (%)4

2 (50.0%)

NA

1 (50.0%)

1 (50.0%)

> 0.999

Current medical use, n (%)4

2 (50.0%)

NA

1 (50.0%)

1 (50.0%)

> 0.999

If never used, consider medical herbal cannabis use, n (%)5

75 (36.2%)

6 (75.0%)

52 (33.5%)

17 (38.6%)

0.055

Current herbal cannabis use (any reason)7

Current use, n (%)

4 (11.1%)

0 (0.0%)

3 (13.6%)

1 (9.1%)

0.755

Daily grams used, mean (SD)

2.0 (2.8)

NA

2.0 (2.8)

NA

0.667

Monthly grams used, mean (SD)

38.0 (64.1)

NA

38.0 (64.1)

NA6

0.667

Method of herbal cannabis use

Smoke, n (%)

4 (100.0%)

NA

3 (100.0%)

1 (100.0%)

NC

Vaporize, n (%)

1 (25.0%)

NA

1 (33.3%)

0 (0.0%)

> 0.999

Eat, n (%)

1 (25.0%)

NA

1 (33.3%)

0 (0.0%)

> 0.999

Rub, n (%)

0 (0.0%)

NA

0 (0.0%)

0 (0.0%)

NC

Current medical herbal cannabis use

Relief of symptoms, mean (0-10) (SD)8

6.6 (1.6)

NA

7.7 (NC)

5.5 (NC)

NC

NA, not applicable; NC, non calculable.

Significant (p<0.05) p-values indicated in bold. Statistical trends (0.05 < p < 0.15) indicated in italics.

1Between unemployed/disabled and full-time/part-time/student/retired/homemaker patients.

2Among smokers.

3Patients may have used more than one method of herbal cannabis.

4Denominator of this proportion represents the total number of patients who have used herbal cannabis for medical reasons (n=2).

5Denominator of this proportion represents the total number of patients who have never used herbal cannabis for medical reasons (n=212).

6Patient reported no daily amount of herbal cannabis, though reported ‘1 gram’ as monthly usage. This was omitted from the description of the results.

7Proportions and p-values are based on the number of patients currently using herbal cannabis for any reason (All patients: n=4; Current smokers and opioid users: n=0; Non-smokers and non-opioid users: n=3; Current smokers or opioid users: n=1).

8Among patients using herbal cannabis for medical reasons. Minimum (0) represents ‘no relief’ and maximum (10) represents ‘maximum relief”.


Disclosure: A. Karellis, None; E. Rampakakis, None; J. S. Sampalis, None; M. Cohen, None; M. Starr, None; P. Ste-Marie, None; Y. Shir, None; M. Ware, None; M. FitzCharles, None.

To cite this abstract in AMA style:

Karellis A, Rampakakis E, Sampalis JS, Cohen M, Starr M, Ste-Marie P, Shir Y, Ware M, FitzCharles M. Smoking and Opioid Use Is Associated with Symptom Severity in Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/smoking-and-opioid-use-is-associated-with-symptom-severity-in-rheumatoid-arthritis/. Accessed .
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