Session Information
Date: Monday, October 22, 2018
Title: Metabolic and Crystal Arthropathies – Basic and Clinical Science Poster I
Session Type: ACR Poster Session B
Session Time: 9:00AM-11:00AM
Background/Purpose:
The Health and Human Services has declared the opioid epidemic as a public health emergency. It has been demonstrated that even short exposures to opioids could progress to episodic and ultimately long-term opioid use. Acute gout is among the most painful inflammatory arthritis. However, the burden of opioid use in acute gout has not been previously evaluated. Our aim was to assess the use of prescription opioids among patient discharged from the hospital with acute gout and factors associated with it.
Methods:
Lifespan
Results: A total of 456 patients (mean age 58.7±16.4 years, 79% male) were treated for acute gout in the ED of which 11.2% were hospitalized. A total of 129 patients (28.3%) received prescription opioid at discharge. Of these, 102 (79%) patients were not on opioids at admission. In a multivariable model, diabetes [aOR 2.02 (1.13—3.59)], prescription opioid use at admission [aOR 2.1 (1.01—4.34)] and having a polyarticular gout attack [aOR 2.58 (1.33—4.99)] were associated with increased odds of prescription opioid use at discharge.
Conclusion: Despite the availability of effective treatments, opioids are commonly used for management of acute gout, even in patients who are not present on it at admission. Fear of steroid use in diabetics could have led to increased reliance on opioids. Similarly, polyarticular involvement led to increased use of opioids. The study highlights an opportunity to curb the opioid epidemic among acute gout patients.
Table 1. Baseline characteristics of the cohort |
|||
|
|
Opioids not used at discharge (n=327) |
Opioids used at discharge (n=129) |
Age (years) |
59.27 ± 16.6 |
57.37 ± 15.8 |
|
Male (%)* |
251 (77) |
110 (85.3) |
|
Race |
African American |
51 (15.6) |
25 (19.4) |
|
Asian |
8 (2.5) |
5 (3.9) |
|
Caucasian |
206 (63.2) |
80 (62) |
|
Other |
61 (18.7) |
19 (14.7) |
|
Missing |
1 |
0 |
Diabetes* |
79/245 (32.2) |
51/107 (47.7) |
|
Hyperlipidemia |
149/245 (60.8) |
76/107 (71) |
|
Hypertension* |
185/245 (75.5) |
91/107 (85.1) |
|
Coronary artery disease |
66/245 (26.9) |
30/107 (28.0) |
|
Congestive heart failure |
51/245 (20.8) |
27/107 (25.2) |
|
Chronic kidney disease |
59/245 (24.1) |
29/107 (27.1) |
|
Inflammatory arthritis |
15/245 (6.1) |
5/107 (4.7) |
|
History of gout |
168/245 (68.6) |
75/107 (70.1) |
|
Alcohol abuse |
30/245 (12.2) |
15/107 (14.0) |
|
History of substance abuse* |
17/245 (6.9) |
15/107 (14.0) |
|
Chronic pain |
5/245 (2.0) |
3/107 (2.8) |
|
Prior to admission opioids use* |
27/327 (8.3) |
27/129 (20.9) |
|
ED Severity Scale |
Moderate to severe (2 & 3) |
163/284 (57.4) |
61/117 (52.1) |
|
Mild to moderate (4 & 5) |
121/284 (42.6) |
56/117 (47.9) |
Time at presentation to the ED |
Midnight to 8 AM |
55/284 (19.4) |
19/118 (16.1) |
|
8 AM to 4 PM |
144/284 (50.7) |
60/118 (50.9) |
|
4 PM to midnight |
85/284 (29.9) |
39/118 (33.0) |
Time of year of presentation |
Jan-Mar |
52/284 (18.3) |
21/118 (17.8) |
|
Apr-Jun |
94/284 (33.1) |
37/118 (31.4) |
|
Jul-Sep |
80/284 (28.1) |
33/118 (28.0) |
|
Oct-Dec |
58/284 (20.4) |
27/118 (22.8) |
Admitted patients |
33/327 (10.1) |
18/129 (14.0) |
|
Joint distribution (polyarticular)* |
37/327 (11.3) |
34/129 (26.4) |
|
*represent p<0.05 |
To cite this abstract in AMA style:
Dalal D, Mbuyi N, Shah I, Malhotra P, Reinert S, Hilliard R. Opioid Analgesic Use in Acute Gout Patients Discharged from the Hospital [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/opioid-analgesic-use-in-acute-gout-patients-discharged-from-the-hospital/. Accessed .« Back to 2018 ACR/ARHP Annual Meeting
ACR Meeting Abstracts - https://acrabstracts.org/abstract/opioid-analgesic-use-in-acute-gout-patients-discharged-from-the-hospital/