Objective: The aim of the study is to assess the risk of post-operative outcome in rheumatoid arthritis (RA) patients continuing versus stopping combination therapy of methotrexate (MTX) and hydroxychloroquine (HCQ) or tumor necrosis factor α inhibitors (TNF) prior to surgery. Methods: Using the United States Veterans Affairs (VA) databases, we identified surgical procedures in a 17-year cohort of RA patients. Among those patients, those on MTX + HCQ or MTX + TNF were identified. Post-operative outcome variables include infection, length of post-operative hospital stay and death. Results: We identified a total of 29,708 surgeries in RA patients. Among them, we identified the most recent elective surgeries without pre-operative infection in 16,174 patients. There were 783 and 550 patients on MTX + HCQ and MTX + TNF, respectively. The rates of post-op infection were 5% and 4% for the MTX + HCQ and MTX + TNF continuing medication groups, respectively, similar to the general RA population (5%). Sensitivity analyses at various time points of discontinuation combination therapies prior to surgery did not show significant change in terms of infection. Conclusions: The prevalence of adverse outcome is low. The proportion of post-operative infection in continuing and discontinuing medicine groups is similar for both MTX + HCQ and MTX + TNF. While we were unable to formally compare proportions of post-operative infection among the two groups, these preliminary findings do not support the hypothesis that continuing either MTX + TNF or MTX + HCQ combination during perioperative period increases post-operative infection compared with discontinuation prior to therapy.
Rheumatoid arthritis (RA) is a chronic inflammatory arthritis characterized by joint pain and swelling, as well as other extra-articular manifestations. If not treated optimally, RA can cause progressive joint damage that eventually leads to significant morbidity and mortality. Given the natural history of RA and lack of effective treatments in the past, surgical procedures, especially orthopedic procedures, have been very common among RA patients [
Treatment for RA has advanced significantly over the past decade with regimens composed of synthetic disease modifying anti-rheumatic drugs (DMARDs) and targeted biologic agents (BA), such as tumor necrosis factor α inhibitors (TNF), as well as therapies combining the two (combination therapies). As these are immunosuppressive or immunomodulating agents, there is concern of perioperative use of antirheumatic drugs leading to increased risk of infectious complications and delayed wound healing that result in adverse outcomes during the post-operative period. Stopping therapy, on the other hand, could lead to an RA flare, which may limit the patients’ ability to participate in post-operative physical therapy, increase perioperative steroid use, and may delay recovery from surgery [
There is an unmet need for literature on perioperative management of antirheumatic medications. The DMARD that has been best studied in the perioperative setting is MTX use in the context of orthopedic surgeries [
Thus, in this study, we aim to assess whether post-operative outcomes, specifically post-operative infectious complications, in RA patients undergoing surgical procedures is greater in patients continuing MTX +HCQ or MTX + TNF combination therapies compared with patients who stop their medications prior to surgery.
The study was approved by the Institutional Review Board at the Puget Sound Veterans Administration Medical Center (MIRB#781) and University of Washington (HSD#50933).
All analyses were performed using the National Veterans Health Administration Administrative databases, including the Veterans Affairs (VA) inpatient data, VA outpatient data, pharmacy benefits management data, decision support system laboratory files, and the Veterans Administration Surgical Quality Improvement Program (VASQIP) [
We identified a cohort of surgeries performed on RA patients at VA sites across the nation between October 1, 1999 and November 16, 2016. All types of surgery were included in this analysis. RA patients were identified using a previously validated algorithm: [a] two or more RA diagnosis codes (International Classification of Diseases 9 code of 714) at least 6 months apart; [b] at least one rheumatology clinic visit; [c] RA diagnosis code entered at the last rheumatology clinic visit; and [d] at least one DMARD or BA was dispensed for a total duration of 6 months or more [
We eliminated emergency surgeries to avoid potential poor outcome due to lack to preoperative preparation. When a patient had multiple surgeries, we selected the most recent surgery without prior infection in order to better reflect current treatment for RA, given that there has been a significant change in therapeutic options in the past decade.
Next, RA patients who were on MTX + HCQ and MTX + TNF combination therapies prior to surgery were identified. The pharmacy database was used to obtain information on patients’ refill periods. We used a previously validated method to determine whether the medication had been stopped prior to or continued through the perioperative period based on the refill periods [
Applying the above-mentioned definitions, all patients identified were further divided into three subgroups: [a] continuing both medications, [b] discontinuing both medications, [c] other use pattern. Patients who are off medication, on monotherapy or other medication combinations were excluded from the analysis. In other words, all surgeries that happened before the initiation of the specific RA therapies were excluded from the study.
All statistical analyses were performed using STATA V.12.0, College Station, Texas, USA.
Chi square (a) or Fisher’s Exact test (b) was used to compare categorical variables between continuing and discontinuing both medications subgroups. Kruskal-Wallis test (c) was used to compare continuous variables between continuing and discontinuing both medications subgroups. The demographic variables of interest included sex, age, chronic steroid use, smoking, diabetes mellitus, pre-albumin, and the modified Charlson surgery comorbidity score. The Charlson surgical comorbidity score was modified by excluding ICD9 codes related to RA, such as 714.xx and 725, to avoid bias [
We identified a total of 29,708 surgeries among 17,293 RA patients between October 1, 1999 and November 16, 2016 from VASQIP database. One thousand five hundred and thirty-nine emergency surgeries, 1947 surgeries with pre-operative infection, and 10,048 previous surgeries were removed.
Application of the aforementioned criteria resulted in 16,174 RA patients eligible for analysis. The mean age at surgery of those patients was 64 (SD 10.67). Eighty eight percent were male and 64% were non-Hispanic Caucasian. The mean of BMI was 29 (SD 6.25). The majority of patients were in the category of non-DM or diet-controlled DM (82%) and were not on chronic steroid (79%). The mean prealbumin level was 3.83 (SD 0.54). The median modified Charlson score was 2. The post-operative infection rate was 5.05%, including 1.09% of urinary tract infection, 2.35% of wound infection, 1.04% of sepsis, and 1.19% of pneumonia. The death rate within 90 days after the surgery was 0.01%. There were 9786 patients who were off the combination therapy during the perioperative period as the surgery was done before they were diagnosed with RA. There were 783 (5%) and 550 (3%) patients on MTX + HCQ and MTX + TNF combination therapy, respectively. Each group was further divided into three subgroups: (a) continued both medications prior to surgery, (b) discontinued both and (c) other use pattern.
In the MTX + HCQ group, there were 14 (2%) patients who discontinued both medication, 656 (84%) patients who continued both medications, and 113 (14%) patients with other use patterns. In the MTX + TNF group, there were 6 (1%) patients who discontinued both medication, 363 (66%) patients who continued both, and 181 (33%) patients with other use patterns. Comparing the continued vs. discontinued medication subgroups within each treatment groups, there was no statistical difference in patient demographics, including sex, chronic steroid use, smoking diabetes mellitus, pre-albumin, and the modified Charlson surgery comorbidity score. Although the p-value is less than 0.01 in the MTX + TNF group, there were very few patients in the discontinuing medication group.
The most common surgery in our cohort was orthopedic surgeries (20%),
including both arthroplasty and joint replacement surgery. Other surgeries include hernia surgeries (11%), cholecystectomies (5%), and urological procedures (5%), such as cystoscopy and trans-ureteral resection of prostate.
Post-operative outcome: infection within 30 days, length of post-operative hospital stays and death within 90 days.
The median length of post-operative hospital stay was approximately 5 days, excluding same day surgery, in both combination therapy groups.
Among 14 patients who discontinued MTX + HCQ, there was one (7.1%) post-operative infection and one (7.1%) death. Among the 636 patients who continued therapy, there were 29 (4.3%) post-operative infections and 18 (3%) deaths.
Among 6 patients who discontinued MTX + TNF, there were neither post- operative infections nor deaths. Among the 425 patients who continued medication, there were 22 (5%) post-operative infections and 1 (<0.1%) deaths in the group that continued medication.
Due to low prevalence of both infection and death, we were unable to analyze our data using multivariable logistic regression. Still, the infection rate is similar for general RA patients (5%) and patients who are on the two combinations (4% and 5%).
Sensitivity analyses of individual combinations revealed no statistically significant difference in the prevalence of post-operative infection when discontinuing MTX + HCQ therapy 1 month, 2 months and 3 months prior to the surgery. Comparable results were observed with etanercept and adalimumab when discontinued at various dosing intervals.
Recently published ACR guidelines on perioperative management of antirheumatic medications provides guidance based on indirect interpretation of data
MTX + HCQ | MTX + ADA | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Discontinued medication | Continued medication | Used other patterns | p | Discontinued medication | Continued medication | Used other patterns | p | |||||||
N (%) | 14 | (100) | 656 | (100) | 113 | (100) | 6 | (100) | 363 | (100) | 181 | (100) | ||
Age at operation (%) | 0.32c | 0.04c | ||||||||||||
<50 | 1 | (6) | 26 | (4) | 9 | (8) | 0 | (0) | 17 | (5) | 8 | (4) | ||
50 - 59 | 3 | (19) | 130 | (19) | 21 | (18) | 4 | (67) | 74 | (20) | 45 | (25) | ||
60 - 69 | 6 | (38) | 295 | (44) | 49 | (41) | 1 | (17) | 164 | (45) | 88 | (49) | ||
70 - 79 | 2 | (13) | 156 | (23) | 22 | (18) | 1 | (17) | 84 | (23) | 37 | (20) | ||
80 - 89 | 0 | (0) | 36 | (5) | 6 | (5) | 0 | (0) | 21 | (6) | 2 | (1) | ||
90+ | 2 | (13) | 13 | (2) | 6 | (5) | 0 | (0) | 3 | (1) | 1 | (1) | ||
Missing | 2 | (13) | 12 | (2) | 6 | (5) | 0 | (0) | 0 | (0) | 0 | (0) | ||
Mean (SD) | 62.82 | (9.04) | 65.74 | (8.86) | 64.27 | (10.98) | 58.66 | (7.61) | 65.67 | (9.62) | 63.11 | (9.16) | ||
Sex (%) | 0.28b | 0.2b | ||||||||||||
Female | 3 | (21) | 74 | (11) | 16 | (14) | 1 | (17) | 34 | (9) | 25 | (14) | ||
Male | 11 | (79) | 582 | (89) | 97 | (86) | 5 | (83) | 329 | (91) | 156 | (86) | ||
Race (%) | 0.88a | 0.03a | ||||||||||||
White, not Hispanic | 9 | (64) | 452 | (69) | 76 | (67) | 2 | (33) | 279 | (77) | 130 | (72) | ||
White, Hispanic | 0 | (0) | 24 | (4) | 4 | (4) | 0 | (0) | 6 | (2) | 5 | (3) | ||
African American | 2 | (14) | 69 | (11) | 11 | (10) | 2 | (33) | 25 | (7) | 15 | (8) | ||
Asian, Pacific Islander | 0 | (0) | 4 | (1) | 0 | (0) | 0 | (0) | 0 | (0) | 1 | (1) | ||
Others | 2 | (14) | 48 | (7) | 13 | (12) | 2 | (33) | 27 | (7) | 11 | (6) | ||
Missing | 1 | (7) | 59 | (9) | 9 | (8) | 0 | (0) | 26 | (7) | 19 | (10) | ||
BMI (%) | 0.44c | 0.72c | ||||||||||||
<18.5 | 1 | (7) | 5 | (1) | 1 | (1) | 0 | (0) | 0 | (0) | 3 | (2) | ||
18.5 - < 25 | 4 | (29) | 118 | (18) | 21 | (19) | 1 | (17) | 71 | (20) | 28 | (15) | ||
25 - < 30 | 3 | (21) | 155 | (24) | 35 | (31) | 0 | (0) | 105 | (29) | 55 | (30) | ||
≥30 | 5 | (36) | 184 | (28) | 33 | (29) | 1 | (17) | 124 | (34) | 65 | (36) | ||
Missing | 1 | (7) | 194 | (30) | 23 | (20) | 4 | (67) | 63 | (17) | 30 | (17) | ||
Mean (SD) | 27.68 | (5.78) | 29.06 | (5.90) | 29.01 | (5.50) | 27.39 | (7.74) | 29.46 | (6.28) | 29.27 | (5.77) | ||
Diabetes (DM) (%) | 0.94b | 0.28b | ||||||||||||
No DM or diet only | 12 | (86) | 540 | (82) | 95 | (84) | 3 | (50) | 277 | (76) | 140 | (77) | ||
Oral DM drugs | 2 | (14) | 75 | (11) | 10 | (9) | 0 | (0) | 54 | (15) | 27 | (15) | ||
Insulin use | 0 | (0) | 41 | (6) | 8 | (7) | 3 | (50) | 32 | (9) | 14 | (8) | ||
Modified Charlson Score (%) | 0.80c | 0.49c | ||||||||||||
0 | 5 | (15) | 150 | (11) | 25 | (11) | 2 | (11) | 91 | (12) | 46 | (13) | ||
1 to 2 | 3 | (9) | 179 | (14) | 33 | (14) | 1 | (5) | 92 | (13) | 54 | (15) | ||
3 to 4 | 1 | (3) | 103 | (8) | 13 | (6) | 0 | (0) | 55 | (8) | 28 | (8) | ||
5 to 6 | 2 | (6) | 54 | (4) | 7 | (3) | 2 | (11) | 34 | (5) | 11 | (3) | ||
7 to 8 | 2 | (6) | 36 | (3) | 5 | (2) | 1 | (5) | 11 | (2) | 4 | (1) |
9+ | 0 | (0) | 33 | (3) | 7 | (3) | 0 | (0) | 13 | (2) | 2 | (1) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Missing | 1 | (3) | 101 | (8) | 20 | (9) | 0 | (0) | 67 | (9) | 36 | (10) | |||||
Median | 2 | 2 | 2 | 3 | 2 | 2 | |||||||||||
Chronic steroid use (%) | 0.67b | 0.33b | |||||||||||||||
No | 11 | (79) | 434 | (66) | 76 | (67) | 3 | (50) | 271 | (75) | 132 | (73) | |||||
Yes | 3 | (21) | 222 | (34) | 37 | (33) | 3 | (50) | 92 | (25) | 49 | (27) | |||||
Pre-albumin level | 0.59c | 0.03c | |||||||||||||||
Mean (SD) | 3.72 | (0.83) | 3.84 | (0.47) | 3.91 | (0.46) | 3.2 | (0.53) | 3.87 | (0.46) | 3.9 | (0.48) | |||||
Notes: Chi square (a) or Fishe’s exact test (b) for categorical variables, Kruskal-Wallis test (c) for continuous variables. Race evaluated for non-Hispanic White vs. all others. Diabetes evaluated as oral DM drugs and insulin use vs. no DM or diet only. Percent (%); Standard deviation (SD).
MTX + HCQ | MTX + ADA | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Discontinued medication | Continued medication | p | Discontinued medication | Continued medication | p | |||||
N (%) | 14 | (100) | 656 | (100) | 6 | (100) | 363 | (100) | ||
Surgery type (%) | 0.75b | 0.30b | ||||||||
Orthopedic | 12 | (86) | 520 | (79) | 5 | (83) | 286 | (79) | ||
Others | 2 | (14) | 136 | (21) | 1 | (17) | 77 | (21) | ||
Days post-op hospitalization | 0.7c | 0.5c | ||||||||
Mean (SD) | 4.9 | (4.25) | 4.97 | (6.24) | 5 | (2.12) | 5.11 | (5.11) | ||
Death within 90 days of surgery | 0.33b | 1b | ||||||||
No | 13 | (93) | 638 | (97) | 6 | (100) | 362 | (100) | ||
Yes | 1 | (7) | 18 | (3) | 0 | (0) | 1 | (0) |
Notes: p-values are for those who discontinue both medications vs. those who continue both medications. Fisher’s exact test (b), Kruskal-Wallis test (c). *MTX + HCQ was discontinued 3 months prior to surgery. MTX + TNF was discontinued one dosing interval prior to the surgery.
extrapolated from non-surgical patients enrolled in clinical trials. Direct evidence and literature are still lacking. Our study has the advantage of a large VA population of RA patients with long follow-up period [
As mentioned in the introduction, TNFα inhibitor monotherapy has been assessed in several studies both in RA and in inflammatory bowel disease, with some results demonstrating increased risk of infection [
MTX + HCQ | |||||
---|---|---|---|---|---|
Time when both medications were discontinued | Discontinued medication | Continued medication | p | ||
1) month prior N (%) | 59 | (100) | 526 | (100) | 1b |
Infections No | 57 | (97) | 503 | (96) | |
Yes | 2 | (3) | 23 | (4) | |
2) months prior N (%) | 30 | (100) | 615 | (100) | 0.65b |
Infections No | 28 | (93) | 586 | (95) | |
Yes | 2 | (7) | 29 | (5) | |
3) months prior N (%) | 14 | (100) | 656 | (100) | 0.47b |
Infections No | 13 | (93) | 627 | (96) | |
Yes | 1 | (7) | 29 | (4) |
MTX + ETA | |||||
---|---|---|---|---|---|
Time when both medications were discontinued | Discontinued medication | Continued medication | p | ||
7 days prior N (%) | 6 | (100) | 228 | (100) | 1b |
Infections No | 6 | (100) | 217 | (95) | |
Yes | 0 | (0) | 11 | (5) | |
14 days prior N (%) | 5 | (100) | 241 | (100) | 1b |
Infections No | 5 | (100) | 230 | (96) | |
Yes | 0 | (0) | 11 | (4) | |
21 days prior N (%) | 3 | (100) | 252 | (100) | 1b |
Infections No | 3 | (100) | 241 | (96) | |
Yes | 0 | (0) | 11 | (4) |
MTX + ADA | |||||
---|---|---|---|---|---|
Time when both medications were discontinued | Discontinued medication | Continued medication | p | ||
14 days prior N (%) | 2 | (100) | 111 | (100) | 1b |
Infections No | 2 | (100) | 106 | (95) | |
Yes | 0 | (0) | 5 | (5) | |
28 days prior N (%) | 1 | (100) | 122 | (100) | 1b |
Infections No | 1 | (100) | 117 | (96) | |
Yes | 0 | (0) | 5 | (4) | |
35 days prior N (%) | 1 | (100) | 124 | (100) | 1b |
Infections No | 1 | (100) | 119 | (96) | |
Yes | 0 | (0) | 5 | (4) |
Note: p-values are for those who discontinue both medications vs. those who continue both medications. Fisher’s exact test (b) was used to exam the difference between the groups.
combination regimens can be continued in the perioperative period without increasing the risk for infection-related complications.
Our study analyzed data from the United States VA encompassing 17 years and 106 surgical sites. We studied the two most commonly used combination therapies, and found that the infection rate and the length of post-operative hospital stays were similar in those continuing and discontinuing both MTX + HCQ and MTX + TNF during the perioperative period. In addition, the death rate is close to 0 in the MTX + TNF group. Although the rate of post-operative death in 90 days is the greatest (7%) in MTX + HCQ discontinued medication subgroup, the small sample size (1 patient) is not adequate to make clinical implication. Similarly, although the post-operative infection rate and death looks higher in the MTX + TNF continuing medication group, the small number of patients in the discontinuing medication group makes it difficult to make comparisons or definitive conclusions.
There are several limitations to our study. First, the VA population is older than the general RA population, predominantly male, and non-Hispanic Caucasian. As such, the extrapolation of these results to the general population may not be entirely valid. Clinical indices of disease severity, such as Clinical Disease Activity Index (CDAI) or the Disease Activity Score in 28 Joints (DAS-28) were not included in the study due to incomplete documentation. Like most other studies on this topic, there is no measurement of post-operative RA flare available to us to determine whether the rate of RA flare is decreased with continuation of RA therapy. Finally, the use of a refill dates in the pharmacy database as a surrogate marker for continuation or cessation of medication have its limitations. Specifically, it does not allow us to distinguish the reasons for immunosuppressant discontinuation. Discontinuation could be due to low disease activity, surgeon preference, etc. If there were to be a significant improvement in the patient group who stopped their medicines prior to surgery, it would be difficult to give clear guidance as to when a given medicine should be stopped. The algorithm used to determine whether the medication was discontinued or not was validated at Houston VA. Nationwide validation was not done. However, given that we were able to reproduce the monotherapy study results with our current national database that was previously done with the Houston VA database [
Our study provides evidence that continuing either MTX + TNF or MTX + HCQ combination during perioperative period does not increase post-operative infection rate compared with their discontinuation prior to surgery. The small number of cases of infection and death makes it difficult to draw relevant statistical interpretations for our study. However, it is reassuring to know that current surgical techniques have minimized post-operative infection complications even in individuals who are immunocompromised with DMARDs and BAs, like TNF-α inhibitors. It is better than using steroid post operatively, which is notorious for increasing rate of infection and delay wound healing. We recommend continuing MTX + HCQ and MTX + TNF during perioperative period if the main concern for discontinuation is post-operative infection, length of hospital stay or death.
The Surgical Quality Data Use Group (SQDUG) Coordinating Office, ITHS voucher award, UW Division of Rheumatology, NIH T32.
The authors declare no conflicts of interest regarding the publication of this paper.
Juo, H.-H., Peck, A., Monsell, S.E. and Ng, B. (2019) Perioperative Use of Methotrexate and Tumor Necrosis Factor α Inhibitors Combination Therapy Is Not Likely to Increase Post-Operative Infection Rate in the National Veterans Health Administration Administrative Databases. Open Journal of Rheumatology and Autoimmune Diseases, 9, 1-13. https://doi.org/10.4236/ojra.2019.91001