Abstract

Background

Opioid use is increasingly prevalent amongst patients with inflammatory bowel disease (IBD), but whether opioids have deleterious effects, or their use is merely linked with more severe disease, is unclear. We conducted a longitudinal follow-up study examining this issue.

Methods

Data on demographics, gastrointestinal and psychological symptoms, quality of life, and opioid use were recorded at baseline. Data on healthcare use and adverse disease outcomes were obtained from a review of electronic medical records at 12 months. Characteristics at baseline of those using opioids and those who were not were compared, in addition to occurrence of flare, prescription of glucocorticosteroids, treatment escalation, hospitalization, or intestinal resection during the 12 months of follow-up.

Results

Of 1029 eligible participants, 116 (11.3%) were taking opioids at baseline. Medium (odds ratio [OR], 4.67; 95% confidence interval [CI], 1.61-13.6) or high (OR, 8.03; 95% CI, 2.21-29.2) levels of somatoform symptom-reporting and use of antidepressants (OR, 2.54; 95% CI, 1.34-4.84) or glucocorticosteroids (OR, 6.63; 95% CI, 2.26-19.5; P < .01 for all analyses) were independently associated with opioid use. Following multivariate analysis, opioid users were significantly more likely to undergo intestinal resection (hazard ratio,  7.09; 95% CI, 1.63 to 30.9; P = .009), particularly when codeine or dihydrocodeine were excluded (hazard ratio, 42.9; 95% CI, 3.36 to 548; P = .004).

Conclusions

Opioid use in IBD is associated with psychological comorbidity and increased risk of intestinal resection, particularly in stronger formulations. Future studies should stratify the risk of individual opioids, so that robust prescribing algorithms can be developed and assess whether addressing psychological factors in routine IBD care could be an effective opioid avoidance strategy.

Lay Summary

Of the 1029 patients with IBD in this study, opioid use exceeded 10% and was associated with psychological comorbidity and an increased risk of intestinal resection during longitudinal follow-up, particularly when more potent formulations were used.

Key Messages
  • Persistent pain is experienced by up to 1 in every 2 patients with inflammatory bowel disease (IBD), and despite established gastrointestinal side effects, opioid use is becoming increasingly prevalent.

  • Even when controlling for baseline data, including disease extent and phenotype, patients with IBD using opioids had an increased risk of intestinal resection. This risk increased further when weaker formulations were excluded from the analyses.

  • Awareness of the specific risks that opioids pose to patients with IBD enables physicians to exert due caution when prescribing them, particularly in stronger formulations.

Introduction

Crohn’s disease (CD) and ulcerative colitis (UC) are the 2 main types of inflammatory bowel disease (IBD), characterized by recurrent inflammation of the gastrointestinal mucosa. They follow a chronic relapsing and remitting course with symptoms including diarrhea, hematochezia, and urgency. Abdominal pain is experienced by up to 70% of patients during flares of disease activity, which may be linked to underlying mucosal inflammation, extraintestinal manifestations of IBD, or disease complications including strictures, adhesions, or abscess formation.1

However, persistent abdominal pain is experienced by up to 50% of patients with quiescent IBD, suggesting that a simple linear relationship with disease activity does not explain the underlying etiology of pain in IBD completely.2 Psychological factors may contribute to the development of visceral hypersensitivity via complex gut-brain interactions.2-6 Furthermore, up to 25% of patients with IBD report symptoms compatible with irritable bowel syndrome (IBS), which is also characterized by abdominal pain.7,8 Pain management in IBD may be complicated by gastrointestinal side effects of many available analgesics.9 Nonsteroidal anti-inflammatory drugs can potentiate mucosal injury, and opioids have an array of deleterious effects, including enteric dysmotility, hyperalgesia, and even narcotic bowel syndrome.10 There are additional concerns that opioids may mask the symptoms of disease activity in IBD, precipitating complications such as toxic megacolon.11

Despite this, data suggest that between 70% and 90% of patients hospitalized due to IBD received opioids during their admission,12,13 and it has been reported that 1 in 5 patients use them in the outpatient setting.14 A recent UK-based study reported a 20% increase in the dispensing of opioid prescriptions for patients with IBD between 1990 and 2013.15 Factors associated with their use include female sex, psychological comorbidity, increased disease severity, and prior gastrointestinal surgery.12,14-18

In light of the opioid crisis sweeping the United States, concerns are mounting regarding the use of opioids for noncancer related pain.19 Research into the harmful effects of opioids in patients with IBD remains limited, but there is accumulating evidence that their use in IBD may be associated with reduced quality of life, psychological comorbidity,16,20 increased healthcare utilization, higher risk of infection,18,20,21 and premature all-cause mortality.15,22 However, most studies have been conducted in the United States, which limits generalizability, and few studies detail type of opioid used.17,22 In addition, opioid use may be associated with more active disease at baseline, making it difficult to determine if these outcomes are a direct consequence of opioids or if opioid use is merely an indicator of more severe disease.14 We conducted a prospective longitudinal follow-up study of patients in a secondary care setting over 12 months, hypothesizing that use of opioids at baseline would be associated with worse disease outcomes including treatment escalation, hospitalization, intestinal resection, and all-cause mortality.

Methods

Participants and Setting

Ambulatory patients aged 18 years or over with an established diagnosis of CD, UC, or IBD unclassified (IBD-U) according to histological, endoscopic, or radiological criteria seen in the IBD clinic from 2017 to 2020 at Leeds Teaching Hospitals were sent invitations to participate by post. We are the sole provider of care for all these patients through the UK NHS. This study was nested within a longitudinal survey that aimed to examine the impact of the trajectories of symptoms of common mental disorders on the natural history of IBD.23 The invitation enabled access to an online patient information leaflet and questionnaire, as well as a consent form via online link with a personalized uniform resource locator. Paper versions of these documents were available, if preferred. Patients with any form of stoma or ileo-anal pouch were excluded, due to difficulties in assessing clinical disease activity. We obtained approval for this study from the Wales research ethics committee in February 2020 (REC ref: 20/WA/0044).

Data Collection and Synthesis

Baseline data, including sex, age, marital status, educational level, and lifestyle (tobacco and alcohol consumption) were recorded, in addition to clinical disease activity, psychological health, quality of life, Rome IV IBS-type symptoms, and medication use. We assessed clinical disease using a modified Harvey-Bradshaw index (HBI) for CD, excluding the examination for abdominal mass,24,25 and the simple clinical colitis activity index (SCCAI) for UC.26 We used a threshold of <5 to indicate clinical remission for both, as recommended.27,28 We used the hospital anxiety and depression scale (HADS) to screen for anxiety or depression symptoms.29 The combined total score for both anxiety and depression ranges from 0 to 21. Scores are classed as normal (score 0-7), borderline (8-10), or abnormal (≥11), as recommended.29 Somatoform symptom-reporting data were collected using the patient health questionnaire-12 (PHQ-12),30 derived from the PHQ-15.31 The total score ranges from 0 to 24, and we categorized these as high (total score ≥13), medium (8-12), low (4-7), or minimal (≤3). The PHQ-12 has been previously validated in other patients with chronic gastrointestinal symptoms.30 In this study, the upper limit of the interquartile range in healthy people reached 13, hence our selection of this cutoff to define high levels of somatoform symptoms. The median value in those with IBS was 8, hence our choice of this to define medium levels of somatoform symptoms. Quality of life was assessed using the short IBD questionnaire (SIBDQ) health survey.32 We screened for IBS-type symptoms using the Rome IV questionnaire,33 which requires abdominal pain to be present on a weekly basis to meet criteria for Rome IV IBS. Finally, we collected data concerning current use of opioids at baseline, asking patients whether they were regularly using opioids for pain control, as well as current use of antidepressants at baseline.

Electronic medical records were reviewed by one investigator (K.M.F.), who was blinded to the gastrointestinal and psychological symptom data. Inflammatory bowel disease type, extent and location of disease, previous intestinal surgery for IBD, and current medications for IBD (eg, 5-aminosalicylates, immunosuppressants, biologic therapies, or glucocorticosteroids) were collected. This investigator also recorded the occurrence of any of the following clinical outcomes during a minimum of 12 months follow-up, along with the date they occurred: flare of disease activity based on a physician’s global assessment; glucocorticosteroid prescription; escalation of medical therapy due to uncontrolled IBD activity; hospitalization for active IBD; or intestinal resection for active IBD. Changes to therapy that were not for activity of IBD (eg, based on therapeutic drug monitoring) or surgery for perianal CD were not included.

Statistical Analysis

We compared characteristics of those using opioids at baseline with those not using these drugs. For between group comparisons, we used a Pearson’s χ2 test for categorical data and an independent samples t test for continuous data. Multivariate logistic regression was performed to assess for factors independently associated with opioid use at baseline, with results expressed as odds ratios (ORs) with 95% confidence intervals (CIs). To assess for an association between opioid use at baseline and each of the disease activity outcomes of interest during longitudinal follow-up, we compared their rates between users and nonusers. We also assessed for an association between opioid use and occurrence of composite outcomes, including one or more of the events of interest. We used a Pearson χ2 test for categorical data and univariate Cox regression analysis, with results of the latter expressed as hazard ration (HRs) with 95% CIs. Factors independently associated with occurrence of each of the outcomes of interest were determined by performing multivariate Cox regression analysis, controlling for all baseline characteristics including prior intestinal resection, disease activity at baseline, self-report of a flare at baseline, and presence of Rome IV IBS-type symptoms at baseline; these were reported as HRs with 95% CIs. Due to multiple comparisons, a 2-tailed P value of < .01 was selected to denote statistical significance for all analyses, which were performed using SPSS for Windows version 26.0.

Results

In total, 4823 patients who were seen in the IBD clinic between January 2017 and June 2020 were contacted. Of these, 1119 (23.2%) responded to the baseline questionnaire. However, 88 (7.9%) had a stoma or ileo-anal pouch and were excluded, and 2 more (0.2%) individuals did not provide complete data regarding opioid use at baseline. This meant 1029 (92.0%) of 1119 responders (mean age 52.6 years [SD 16.9 years], 563 [54.7%] female, 459 [44.6%] CD) were included and provided baseline data. In total, 116 (11.3%) patients were taking opioids at baseline. These consisted of codeine in 70 (60.3%) patients, tramadol in 23 (19.8%) patients, dihydrocodeine in 7 (6.0%) patients, oramorph in 5 (4.3%) patients, buprenorphine in 4 (3.4%) patients, fentanyl in 3 (2.6%) patients, morphine in 3 (2.6%) patients, and oxycodone in 1 (0.9%) patient. We included data from all patients in our primary analysis, but given that codeine and dihydrocodeine may be used as antidiarrheal agents by some patients with IBD, we excluded these 2 drugs in a sensitivity analysis.

Characteristics of Patients Using Opioids at Baseline

After univariate analysis, those reporting use of opioids at baseline were significantly more likely to be older, to have CD, to have had a previous intestinal resection, to report a flare at baseline, to exhibit clinical disease activity according to the HBI or SCCAI, to be taking antidepressants, to have abnormal HADS-anxiety or HADS-depression scores, to have higher somatoform symptom-reporting scores, and to meet the Rome IV criteria for IBS (Table 1). They were significantly less likely to have attained university or postgraduate level of education and had significantly lower quality of life scores. After multivariate logistic regression, factors independently associated with use of opioids included use of antidepressants (OR, 2.54; 95% CI, 1.34-4.84; P = .004) or glucocorticosteroids (OR, 6.63; 95% CI, 2.26-19.5; P = .001) and exhibiting medium (OR, 4.67; 95% CI, 1.61-13.6; P = .005) or high (OR, 8.03; 95% CI, 2.21-29.2; P = .002) levels of somatoform symptom-reporting.

Table 1.

Baseline characteristics of patients according to opioid use at baseline.

Using Opioids at Baseline (n = 116)Not Using Opioids at Baseline
(n = 913)
P
Mean age in years at baseline (SD)57.4 (15.5)52.0 (17.0).001
Female sex (%)63 (54.3)500 (54.8).93
Married or co-habiting (%)80 (69.6)631 (69.6).99
University graduate/professional (%)29 (25.4)358 (39.6).003
Tobacco user (%)9 (7.8)58 (6.4).57
Alcohol user (%)79 (69.3)668 (73.8).31
IBD type (%).007
 CD66 (58.9)393 (43.3)
 UC40 (35.7)453 (49.9)
 IBD-U6 (5.4)61 (6.7)
CD location (%).17
 Ileal25/66 (37.9)134/392 (34.2)
 Colonic13/66 (19.7)121/392 (30.9)
 Ileocolonic28/66 (42.4)137/392 (34.9)
Stricturing CD (%)18/66 (27.3)112/393 (28.5).84
Penetrating CD (%)12/66 (18.2)51/393 (13.0).26
Perianal CD (%)8/66 (12.1)59/393 (15.0).54
Previous intestinal resection (%)38 (33.9)132 (14.5)<.001
UC extent (%).49
Proctitis11/40 (27.5)139/447 (31.1)
Left-sided13/40 (32.5)170/447 (38.0)
Extensive16/40 (40.0)138/447 (30.9)
Current 5-aminosalicylate use (%)49 (43.8)499 (55.0).024
Current immunomodulator use (%)34 (30.4)252 (27.8).57
Current biologic use (%)29 (25.9)191 (21.1).53
Current glucocorticosteroid use (%)8 (7.1)25 (2.8).013
Current antidepressant use (%)44 (37.9)126 (13.8)<.001
Diagnosed with IBD in the last 12 months (%)9 (7.8)64 (7.1).78
Self-reported current flare at baseline (%)39 (33.9)151 (16.6)<.001
Active disease on HBI or SCCAI at baseline (%)69 (61.1)304 (33.8)<.001
HADS-anxiety categories at baseline (%).002
 Normal48 (42.1)525 (59.0)
 Borderline abnormal30 (26.3)186 (20.9)
 Abnormal36 (31.6)179 (20.1)
HADS-depression categories at baseline (%)<.001
 Normal62 (53.9)701 (78.1)
 Borderline abnormal24 (20.9)124 (13.8)
 Abnormal29 (25.2)73 (8.1)
PHQ-12 somatoform symptom-reporting categories at baseline (%)<.001
 Minimal8 (7.9)263 (31.3)
 Low23 (22.8)321 (38.2)
 Medium46 (45.5)188 (22.5)
 High24 (23.8)68 (8.1)
Rome IV IBS-type symptoms at baseline (%)30 (29.7)135 (15.5).001
Mean SIBDQ score at baseline (SD)42.2 (14.4)51.8 (12.4)<.001
Using Opioids at Baseline (n = 116)Not Using Opioids at Baseline
(n = 913)
P
Mean age in years at baseline (SD)57.4 (15.5)52.0 (17.0).001
Female sex (%)63 (54.3)500 (54.8).93
Married or co-habiting (%)80 (69.6)631 (69.6).99
University graduate/professional (%)29 (25.4)358 (39.6).003
Tobacco user (%)9 (7.8)58 (6.4).57
Alcohol user (%)79 (69.3)668 (73.8).31
IBD type (%).007
 CD66 (58.9)393 (43.3)
 UC40 (35.7)453 (49.9)
 IBD-U6 (5.4)61 (6.7)
CD location (%).17
 Ileal25/66 (37.9)134/392 (34.2)
 Colonic13/66 (19.7)121/392 (30.9)
 Ileocolonic28/66 (42.4)137/392 (34.9)
Stricturing CD (%)18/66 (27.3)112/393 (28.5).84
Penetrating CD (%)12/66 (18.2)51/393 (13.0).26
Perianal CD (%)8/66 (12.1)59/393 (15.0).54
Previous intestinal resection (%)38 (33.9)132 (14.5)<.001
UC extent (%).49
Proctitis11/40 (27.5)139/447 (31.1)
Left-sided13/40 (32.5)170/447 (38.0)
Extensive16/40 (40.0)138/447 (30.9)
Current 5-aminosalicylate use (%)49 (43.8)499 (55.0).024
Current immunomodulator use (%)34 (30.4)252 (27.8).57
Current biologic use (%)29 (25.9)191 (21.1).53
Current glucocorticosteroid use (%)8 (7.1)25 (2.8).013
Current antidepressant use (%)44 (37.9)126 (13.8)<.001
Diagnosed with IBD in the last 12 months (%)9 (7.8)64 (7.1).78
Self-reported current flare at baseline (%)39 (33.9)151 (16.6)<.001
Active disease on HBI or SCCAI at baseline (%)69 (61.1)304 (33.8)<.001
HADS-anxiety categories at baseline (%).002
 Normal48 (42.1)525 (59.0)
 Borderline abnormal30 (26.3)186 (20.9)
 Abnormal36 (31.6)179 (20.1)
HADS-depression categories at baseline (%)<.001
 Normal62 (53.9)701 (78.1)
 Borderline abnormal24 (20.9)124 (13.8)
 Abnormal29 (25.2)73 (8.1)
PHQ-12 somatoform symptom-reporting categories at baseline (%)<.001
 Minimal8 (7.9)263 (31.3)
 Low23 (22.8)321 (38.2)
 Medium46 (45.5)188 (22.5)
 High24 (23.8)68 (8.1)
Rome IV IBS-type symptoms at baseline (%)30 (29.7)135 (15.5).001
Mean SIBDQ score at baseline (SD)42.2 (14.4)51.8 (12.4)<.001

aIndependent samples tvtest for comparison of normally distributed continuous data and χ2 for comparison of categorical data between groups.

Table 1.

Baseline characteristics of patients according to opioid use at baseline.

Using Opioids at Baseline (n = 116)Not Using Opioids at Baseline
(n = 913)
P
Mean age in years at baseline (SD)57.4 (15.5)52.0 (17.0).001
Female sex (%)63 (54.3)500 (54.8).93
Married or co-habiting (%)80 (69.6)631 (69.6).99
University graduate/professional (%)29 (25.4)358 (39.6).003
Tobacco user (%)9 (7.8)58 (6.4).57
Alcohol user (%)79 (69.3)668 (73.8).31
IBD type (%).007
 CD66 (58.9)393 (43.3)
 UC40 (35.7)453 (49.9)
 IBD-U6 (5.4)61 (6.7)
CD location (%).17
 Ileal25/66 (37.9)134/392 (34.2)
 Colonic13/66 (19.7)121/392 (30.9)
 Ileocolonic28/66 (42.4)137/392 (34.9)
Stricturing CD (%)18/66 (27.3)112/393 (28.5).84
Penetrating CD (%)12/66 (18.2)51/393 (13.0).26
Perianal CD (%)8/66 (12.1)59/393 (15.0).54
Previous intestinal resection (%)38 (33.9)132 (14.5)<.001
UC extent (%).49
Proctitis11/40 (27.5)139/447 (31.1)
Left-sided13/40 (32.5)170/447 (38.0)
Extensive16/40 (40.0)138/447 (30.9)
Current 5-aminosalicylate use (%)49 (43.8)499 (55.0).024
Current immunomodulator use (%)34 (30.4)252 (27.8).57
Current biologic use (%)29 (25.9)191 (21.1).53
Current glucocorticosteroid use (%)8 (7.1)25 (2.8).013
Current antidepressant use (%)44 (37.9)126 (13.8)<.001
Diagnosed with IBD in the last 12 months (%)9 (7.8)64 (7.1).78
Self-reported current flare at baseline (%)39 (33.9)151 (16.6)<.001
Active disease on HBI or SCCAI at baseline (%)69 (61.1)304 (33.8)<.001
HADS-anxiety categories at baseline (%).002
 Normal48 (42.1)525 (59.0)
 Borderline abnormal30 (26.3)186 (20.9)
 Abnormal36 (31.6)179 (20.1)
HADS-depression categories at baseline (%)<.001
 Normal62 (53.9)701 (78.1)
 Borderline abnormal24 (20.9)124 (13.8)
 Abnormal29 (25.2)73 (8.1)
PHQ-12 somatoform symptom-reporting categories at baseline (%)<.001
 Minimal8 (7.9)263 (31.3)
 Low23 (22.8)321 (38.2)
 Medium46 (45.5)188 (22.5)
 High24 (23.8)68 (8.1)
Rome IV IBS-type symptoms at baseline (%)30 (29.7)135 (15.5).001
Mean SIBDQ score at baseline (SD)42.2 (14.4)51.8 (12.4)<.001
Using Opioids at Baseline (n = 116)Not Using Opioids at Baseline
(n = 913)
P
Mean age in years at baseline (SD)57.4 (15.5)52.0 (17.0).001
Female sex (%)63 (54.3)500 (54.8).93
Married or co-habiting (%)80 (69.6)631 (69.6).99
University graduate/professional (%)29 (25.4)358 (39.6).003
Tobacco user (%)9 (7.8)58 (6.4).57
Alcohol user (%)79 (69.3)668 (73.8).31
IBD type (%).007
 CD66 (58.9)393 (43.3)
 UC40 (35.7)453 (49.9)
 IBD-U6 (5.4)61 (6.7)
CD location (%).17
 Ileal25/66 (37.9)134/392 (34.2)
 Colonic13/66 (19.7)121/392 (30.9)
 Ileocolonic28/66 (42.4)137/392 (34.9)
Stricturing CD (%)18/66 (27.3)112/393 (28.5).84
Penetrating CD (%)12/66 (18.2)51/393 (13.0).26
Perianal CD (%)8/66 (12.1)59/393 (15.0).54
Previous intestinal resection (%)38 (33.9)132 (14.5)<.001
UC extent (%).49
Proctitis11/40 (27.5)139/447 (31.1)
Left-sided13/40 (32.5)170/447 (38.0)
Extensive16/40 (40.0)138/447 (30.9)
Current 5-aminosalicylate use (%)49 (43.8)499 (55.0).024
Current immunomodulator use (%)34 (30.4)252 (27.8).57
Current biologic use (%)29 (25.9)191 (21.1).53
Current glucocorticosteroid use (%)8 (7.1)25 (2.8).013
Current antidepressant use (%)44 (37.9)126 (13.8)<.001
Diagnosed with IBD in the last 12 months (%)9 (7.8)64 (7.1).78
Self-reported current flare at baseline (%)39 (33.9)151 (16.6)<.001
Active disease on HBI or SCCAI at baseline (%)69 (61.1)304 (33.8)<.001
HADS-anxiety categories at baseline (%).002
 Normal48 (42.1)525 (59.0)
 Borderline abnormal30 (26.3)186 (20.9)
 Abnormal36 (31.6)179 (20.1)
HADS-depression categories at baseline (%)<.001
 Normal62 (53.9)701 (78.1)
 Borderline abnormal24 (20.9)124 (13.8)
 Abnormal29 (25.2)73 (8.1)
PHQ-12 somatoform symptom-reporting categories at baseline (%)<.001
 Minimal8 (7.9)263 (31.3)
 Low23 (22.8)321 (38.2)
 Medium46 (45.5)188 (22.5)
 High24 (23.8)68 (8.1)
Rome IV IBS-type symptoms at baseline (%)30 (29.7)135 (15.5).001
Mean SIBDQ score at baseline (SD)42.2 (14.4)51.8 (12.4)<.001

aIndependent samples tvtest for comparison of normally distributed continuous data and χ2 for comparison of categorical data between groups.

Clinical Outcomes of Patients According to Opioid Use

The use of opioids at baseline was significantly associated with intestinal resection during follow-up (HR, 4.44; 95% CI, 1.64-12.0; P = .003; Table 2). After multivariate Cox regression analysis, those using opioids were significantly more likely to undergo intestinal resection (HR, 7.09; 95% CI, 1.63-30.9; P = .009; Table 2 and Figure 1). This association persisted in multivariate Cox regression analysis when patients with a prior history of intestinal resection (HR, 8.16; 95% CI, 1.32-50.3,;P = .24) or patients self-reporting a current flare of disease activity (HR, 23.9; 95% CI, 1.75-326; P = .17) were excluded from the analysis.

Table 2.

Clinical outcomes of patients according to opioid use at baseline over 12-month longitudinal follow-up.

Using Opioids at Baseline
(n = 116)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)P valueAdjusted HR (95% CI)P
Flare of disease activity (%)15 (12.9)139 (15.2).510.87 (0.51–1.49).610.67 (0.34–1.35).26
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)5 (4.3)66 (7.2).240.60 (0.24–1.49).270.48 (0.16–1.44).19
Escalation of IBD therapy due to uncontrolled IBD activity (%)13 (11.2)117 (12.8).620.90 (0.51–1.59).710.85 (0.42–1.71).64
Hospitalization due to uncontrolled IBD activity (%)9 (7.8)31 (3.4).0222.40 (1.14–5.03).0212.15 (0.81 -5.74).13
Intestinal resection due to uncontrolled IBD activity (%)6 (5.2)11 (1.2).0024.44 (1.64–12.0).0037.09 (1.63–30.9).009
Any of the above (%)24 (20.7)165 (18.1).491.19 (0.78–1.83).420.97 (0.56–1.69).91
Using Opioids at Baseline
(n = 116)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)P valueAdjusted HR (95% CI)P
Flare of disease activity (%)15 (12.9)139 (15.2).510.87 (0.51–1.49).610.67 (0.34–1.35).26
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)5 (4.3)66 (7.2).240.60 (0.24–1.49).270.48 (0.16–1.44).19
Escalation of IBD therapy due to uncontrolled IBD activity (%)13 (11.2)117 (12.8).620.90 (0.51–1.59).710.85 (0.42–1.71).64
Hospitalization due to uncontrolled IBD activity (%)9 (7.8)31 (3.4).0222.40 (1.14–5.03).0212.15 (0.81 -5.74).13
Intestinal resection due to uncontrolled IBD activity (%)6 (5.2)11 (1.2).0024.44 (1.64–12.0).0037.09 (1.63–30.9).009
Any of the above (%)24 (20.7)165 (18.1).491.19 (0.78–1.83).420.97 (0.56–1.69).91

aχ2 for comparison of data between groups.

Table 2.

Clinical outcomes of patients according to opioid use at baseline over 12-month longitudinal follow-up.

Using Opioids at Baseline
(n = 116)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)P valueAdjusted HR (95% CI)P
Flare of disease activity (%)15 (12.9)139 (15.2).510.87 (0.51–1.49).610.67 (0.34–1.35).26
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)5 (4.3)66 (7.2).240.60 (0.24–1.49).270.48 (0.16–1.44).19
Escalation of IBD therapy due to uncontrolled IBD activity (%)13 (11.2)117 (12.8).620.90 (0.51–1.59).710.85 (0.42–1.71).64
Hospitalization due to uncontrolled IBD activity (%)9 (7.8)31 (3.4).0222.40 (1.14–5.03).0212.15 (0.81 -5.74).13
Intestinal resection due to uncontrolled IBD activity (%)6 (5.2)11 (1.2).0024.44 (1.64–12.0).0037.09 (1.63–30.9).009
Any of the above (%)24 (20.7)165 (18.1).491.19 (0.78–1.83).420.97 (0.56–1.69).91
Using Opioids at Baseline
(n = 116)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)P valueAdjusted HR (95% CI)P
Flare of disease activity (%)15 (12.9)139 (15.2).510.87 (0.51–1.49).610.67 (0.34–1.35).26
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)5 (4.3)66 (7.2).240.60 (0.24–1.49).270.48 (0.16–1.44).19
Escalation of IBD therapy due to uncontrolled IBD activity (%)13 (11.2)117 (12.8).620.90 (0.51–1.59).710.85 (0.42–1.71).64
Hospitalization due to uncontrolled IBD activity (%)9 (7.8)31 (3.4).0222.40 (1.14–5.03).0212.15 (0.81 -5.74).13
Intestinal resection due to uncontrolled IBD activity (%)6 (5.2)11 (1.2).0024.44 (1.64–12.0).0037.09 (1.63–30.9).009
Any of the above (%)24 (20.7)165 (18.1).491.19 (0.78–1.83).420.97 (0.56–1.69).91

aχ2 for comparison of data between groups.

Survival analysis for occurrence of intestinal resection according to opioid use at baseline.
Figure 1.

Survival analysis for occurrence of intestinal resection according to opioid use at baseline.

Clinical Outcomes of Patients According to Opioid Use Other Than Codeine or Dihydrocodeine

After excluding the 77 patients taking either codeine or dihydrocodeine, the significant association between use of opioids at baseline and intestinal resection (HR, 6.75; 95% CI, 1.88 to 24.2, P = .003) remained on univariate analysis (Table 3). After multivariate analysis, those using opioids other than codeine or dihydrocodeine were significantly more likely to undergo intestinal resection (HR, 42.9; 95% CI, 3.36-548; P = .004; Table 3).

Table 3.

Clinical outcomes of patients according to opioid use at baseline, other than codeine or dihydrocodeine, over 12-month longitudinal follow-up.

Using Opioids at Baseline
(n = 39)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)PAdjusted HR (95% CI)P
Flare of disease activity (%)6 (15.4)139 (15.2).981.08 (0.48–2.45).850.83 (0.27–2.58).74
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)1 (2.6)66 (7.2).270.36 (0.05–2.61).310.32 (0.04–2.86).31
Escalation of IBD therapy due to uncontrolled IBD activity (%)3 (7.7)117 (12.8).350.61 (0.19–1.91).390.51 (0.11–2.31).38
Hospitalization due to uncontrolled IBD activity (%)4 (10.3)31 (3.4).0263.23 (1.14–9.15).0275.08 (1.12–23.0).035
Intestinal resection due to uncontrolled IBD activity (%)3 (7.7)11 (1.2).0016.75 (1.88–24.2).00342.9 (3.36–548).004
Any of the above (%)8 (20.5)165 (18.1).701.21 (0.60–2.47).600.96 (0.35–2.66).94
Using Opioids at Baseline
(n = 39)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)PAdjusted HR (95% CI)P
Flare of disease activity (%)6 (15.4)139 (15.2).981.08 (0.48–2.45).850.83 (0.27–2.58).74
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)1 (2.6)66 (7.2).270.36 (0.05–2.61).310.32 (0.04–2.86).31
Escalation of IBD therapy due to uncontrolled IBD activity (%)3 (7.7)117 (12.8).350.61 (0.19–1.91).390.51 (0.11–2.31).38
Hospitalization due to uncontrolled IBD activity (%)4 (10.3)31 (3.4).0263.23 (1.14–9.15).0275.08 (1.12–23.0).035
Intestinal resection due to uncontrolled IBD activity (%)3 (7.7)11 (1.2).0016.75 (1.88–24.2).00342.9 (3.36–548).004
Any of the above (%)8 (20.5)165 (18.1).701.21 (0.60–2.47).600.96 (0.35–2.66).94

aχ2 for comparison of data between groups.

Table 3.

Clinical outcomes of patients according to opioid use at baseline, other than codeine or dihydrocodeine, over 12-month longitudinal follow-up.

Using Opioids at Baseline
(n = 39)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)PAdjusted HR (95% CI)P
Flare of disease activity (%)6 (15.4)139 (15.2).981.08 (0.48–2.45).850.83 (0.27–2.58).74
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)1 (2.6)66 (7.2).270.36 (0.05–2.61).310.32 (0.04–2.86).31
Escalation of IBD therapy due to uncontrolled IBD activity (%)3 (7.7)117 (12.8).350.61 (0.19–1.91).390.51 (0.11–2.31).38
Hospitalization due to uncontrolled IBD activity (%)4 (10.3)31 (3.4).0263.23 (1.14–9.15).0275.08 (1.12–23.0).035
Intestinal resection due to uncontrolled IBD activity (%)3 (7.7)11 (1.2).0016.75 (1.88–24.2).00342.9 (3.36–548).004
Any of the above (%)8 (20.5)165 (18.1).701.21 (0.60–2.47).600.96 (0.35–2.66).94
Using Opioids at Baseline
(n = 39)
Not Using Opioids at Baseline
(n = 913)
PUnadjusted HR (95% CI)PAdjusted HR (95% CI)P
Flare of disease activity (%)6 (15.4)139 (15.2).981.08 (0.48–2.45).850.83 (0.27–2.58).74
Glucocorticosteroid prescription due to uncontrolled IBD activity (%)1 (2.6)66 (7.2).270.36 (0.05–2.61).310.32 (0.04–2.86).31
Escalation of IBD therapy due to uncontrolled IBD activity (%)3 (7.7)117 (12.8).350.61 (0.19–1.91).390.51 (0.11–2.31).38
Hospitalization due to uncontrolled IBD activity (%)4 (10.3)31 (3.4).0263.23 (1.14–9.15).0275.08 (1.12–23.0).035
Intestinal resection due to uncontrolled IBD activity (%)3 (7.7)11 (1.2).0016.75 (1.88–24.2).00342.9 (3.36–548).004
Any of the above (%)8 (20.5)165 (18.1).701.21 (0.60–2.47).600.96 (0.35–2.66).94

aχ2 for comparison of data between groups.

Discussion

This prospective study has examined factors associated with opioid use in patients with IBD and the impact of their use on prognosis using objective markers of disease activity. The extent of opioid exposure is consistent with a recent multicenter audit of UK IBD patients.34 Factors that were independently associated with opioid use included antidepressant or glucocorticosteroid prescription and higher somatoform symptom-reporting scores. Opioid use was significantly associated with intestinal resection during longitudinal follow-up in univariate analysis. After multivariate Cox regression, use of opioids was associated with a 7 times higher risk of intestinal resection. When we excluded patients with a prior history of intestinal resection, patients self-reporting a flare of disease activity at baseline, or patients taking codeine or dihydrocodeine, which may be used as antidiarrheal agents and are classed as weaker opioids by the British National Formulary,35 similar results were observed. After multivariate Cox regression, use of opioids was still associated with intestinal resection during longitudinal follow-up, with a more than 30 times higher risk, although 95% CIs around this estimate were wide due to a smaller sample size, as more than 60% of the patients were taking these drugs.

Our study included a relatively large cohort of patients with IBD. This means the results are likely to be able to generalized to patients seen in other secondary and tertiary IBD centers. The fact that enrollment was predominantly online is likely to have reduced the likelihood of there being missing data among participants. We assessed the impact of opioid use on disease outcomes via electronic medical record review, and this was undertaken by a single blinded investigator, which is likely to have avoided any potential for interobserver variation.

However, there are some limitations of this study. Although we are the sole provider of care for all these patients, we cannot rule out that a small number of patients may have experienced one of the events of interest in another center, and these data would not have been captured by our review of electronic medical records. The sample size was large, and rates of hospitalization and intestinal resection were numerically higher among those using opioids, but only 1 in 4 of those invited chose to participate, and the relatively short study duration meant that event rates for these some of these end points were low. Longer follow-up in this patient group would, therefore, be useful. There were fewer patients taking strong opioids, meaning that making definitive conclusions regarding the impact of these drugs on the prognosis of IBD are inappropriate. We did not assess for other health conditions or extraintestinal manifestations of IBD, which may be related to opioid use, for example inflammatory or degenerative joint disease. Nevertheless, the number of extraintestinal manifestations currently experienced is included within both the HBI and SCCAI, and disease activity at baseline was controlled for in multivariate analysis. Likewise, we did not confirm the indication for opioid use, or the exact drug, from the medical records but relied on patient-report. Nor did we assess whether prescriptions for opioids had been filled or whether patients were adherent. Only 23% of patients we contacted responded to our questionnaire, which may have introduced volunteer bias. The study was nested within a longitudinal follow-up study assessing the impact of trajectories of symptoms of anxiety or depression on the natural history of IBD.23 However, as the rates of reporting of symptoms of anxiety or depression were similar to those reported in the literature among patients with IBD, we suspect volunteer bias on this basis is unlikely.36 In addition, the impact of opioids on disease end points in IBD was not mentioned at all in the participant information sheet. We therefore feel this is also unlikely to have had a huge impact on our results. We could not assess the characteristics of patients choosing not to take part in the study. This means that we cannot exclude the potential for volunteer bias among patients enrolled, with those using opioids more likely to participate. However, as this was not the main aim of this study,23 we suspect this is unlikely. Finally, we did not use objective markers of active disease, such as endoscopic assessment, fecal calprotectin, or C-reactive protein, to assess IBD activity at baseline. Instead, we used clinical disease activity scores. As recruitment took place during the COVID-19 pandemic, asking patients to attend a face-to-face appointment to provide stool or blood for analysis was undesirable, and performing an endoscopic assessment in over 1000 patients would have been impractical. This could have led to residual confounding if mucosal inflammation, rather than disease activity scores, is linked to opioid prescribing, although we are not aware of any data to support that. However, this will not have affected our findings during longitudinal follow-up, as these were based on a blinded assessment of medical records.

The prevalence of opioid use among patients in this study was more than double that of the general population in the UK37 and is in line with findings from other studies of patients with IBD.17,34 In our study, opioid users were 3 times more likely to be taking antidepressants than nonopioid users, which is comparable with other studies examining opioid use in IBD.13-15 Although a recent meta-analysis by Niccum et al suggested depression is independently associated with opioid use,17 psychological comorbidity is more prevalent in patients with IBD than among healthy people.36 The relationship between depression or prescribed antidepressants and increased opioid use is, therefore, probably more complex than a simple cause and effect relationship, with opioid use in this subgroup of patients perhaps a marker for a higher burden of chronic pain and coexisting psychological comorbidity.8,22 In addition, higher levels of somatoform symptom-reporting in patients taking opioids was also demonstrated in our study. This is perhaps unsurprising given that pain is often a symptom of somatoform disorders, is linked with irritable bowel syndrome, which occurs in around 25% of patients with IBD,7,8 and that other chronic painful conditions often coexist in patients with IBD. Furthermore, healthcare professionals may use antidepressants like amitriptyline to manage irritable bowel syndrome-type symptoms occurring in some patients with IBD. Along with antidepressant use, the higher level of somatoform symptom reporting associated with opioid use in this study underlines that addressing psychological factors in IBD is important, which is not considered by the current management paradigm in most countries.4

The 4-times higher risk of intestinal resection in opioid users identified in this study is noteworthy, as intestinal resection is a significant cause of morbidity in IBD,38 and there is limited evidence in the literature relating to this particular association. One study by Wren et al found that long-term use of opioids was associated with more gastrointestinal surgeries in adolescents;14 and in a retrospective cohort study of adult patients with IBD, those undergoing a colectomy were more likely to have used opioids for >60 days in the preceding year.20 Whether the higher risk of intestinal resection is causally related to opioid exposure or whether patients requiring opioid analgesia represent a more severe phenotype requires further study, although disease activity and prior intestinal resection were controlled for in our multivariate analysis.

Pain management represents a substantial unmet need for patients with IBD; however, pain is associated with lower health-related quality of life and functional disability.1,6 This makes a blanket recommendation for clinicians to cease the prescriptions of all opioids in patients with IBD unrealistic, particularly in view of the limited alternative analgesics available to manage pain in these patients.9 However, altering prescribing practices may be achievable with more detailed knowledge of effects of individual opioids on outcomes in IBD. Studies in non-IBD populations demonstrate that stronger opioid formulations are associated with increased morbidity and mortality compared with weaker formulations.39 In one study that examined the association between weak and strong opioid formulations and mortality in IBD, stronger formulations were associated with an increased mortality.15 Our study examined the effects of different opioid formulations on specific IBD outcomes, demonstrating that effect sizes for intestinal resection were even higher when individuals using codeine or dihydrocodeine, which may be taken for their antidiarrheal effects, were excluded from the analysis. This suggests that it is other, stronger opioids that are associated with worse disease outcomes in IBD. However, further studies will be needed to replicate our findings. This could help stratify individual risk of these drugs on disease outcomes, allowing more nuanced recommendations on their prescribing to be made.

In summary, the high prevalence of opioid use coupled with its association with increased healthcare utilization and intestinal resection in IBD means that it is imperative that prescribers understand the risks associated with use of these drugs in a potentially vulnerable group of patients. As seen in other studies, we demonstrated that psychological comorbidity was associated with opioid use in patients with IBD, suggesting that addressing psychological factors in routine IBD care is essential going forward. This may be one strategy to reduce opioid prescribing. In addition, there may be a prominent association between worsening disease outcomes and the use of certain stronger opioid formulations, which may be useful to guide future prescribing recommendations and warrants further research.

Abbreviations:

    Abbreviations:
     
  • CD

    Crohn’s disease

  •  
  • CI

    confidence interval

  •  
  • HADS

    hospital anxiety and depression scale

  •  
  • HBI

    Harvey-Bradshaw index

  •  
  • HR

    hazard ratio

  •  
  • IBD

    inflammatory bowel disease

  •  
  • IBD-U

    inflammatory bowel disease unclassified

  •  
  • IBS

    irritable bowel syndrome

  •  
  • OR

    odds ratio

  •  
  • PHQ

    patient health questionnaire

  •  
  • SCCAI

    simple clinical colitis activity index

  •  
  • UC

    ulcerative colitis

Acknowledgments

Authors are grateful to the patients who took the time to participate in this study.

Author Contributions

K.M.F., D.J.G., and A.C.F. conceived and drafted the study. K.M.F. collected all data. C.R. and A.C.F. analyzed and interpreted the data. C.R. and A.C.F. drafted the manuscript. All authors contributed to and approved the final draft of the manuscript.

Funding

None.

Conflicts of Interest

C.R.: none. K.F.: none. C.S.: has received unrestricted research grants from Warner Chilcott, Janssen, and AbbVie, has provided consultancy to Warner Chilcott, Dr Falk, AbbVie, Takeda, Fresenius Kabi, Galapagos, Arena, and Janssen, and had speaker arrangements with Warner Chilcott, Dr Falk, AbbVie, MSD, Pfizer, Celltrion, and Takeda. D.G.: none. A.F.: none.

References

1.

Zeitz
J
,
Ak
M
,
Müller-Mottet
S
, et al. ;
Swiss IBD Cohort Study Group
.
Pain in IBD patients: very frequent and frequently insufficiently taken into account
.
PLoS One.
2016
;
11
(
6
):
e0156666
.

2.

Coates
MD
,
Johri
A
,
Gorrepati
VS
, et al.
Abdominal pain in quiescent inflammatory bowel disease
.
Int J Colorectal Dis.
2021
;
36
(
1
):
93
-
102
.

3.

Gracie
DJ
,
Guthrie
EA
,
Hamlin
PJ
,
Ford
AC.
Bi-directionality of brain-gut interactions in patients with inflammatory bowel disease
.
Gastroenterology.
2018
;
154
(
6
):
1635
-
1646.e3
.

4.

Gracie
DJ
,
Hamlin
PJ
,
Ford
AC.
The influence of the brain-gut axis in inflammatory bowel disease and possible implications for treatment
.
Lancet Gastroenterol Hepatol
.
2019
;
4
(
8
):
632
-
642
.

5.

Gracie
DJ
,
Williams
CJ
,
Sood
R
, et al.
Poor correlation between clinical disease activity and mucosal inflammation, and the role of psychological comorbidity, in inflammatory bowel disease
.
Am J Gastroenterol.
2016
;
111
(
4
):
541
-
551
.

6.

Sweeney
L
,
Moss-Morris
R
,
Czuber-Dochan
W
, et al.
Systematic review: Psychosocial factors associated with pain in inflammatory bowel disease
.
Aliment Pharmacol Ther.
2018
;
47
(
6
):
715
-
729
.

7.

Halpin
SJ
,
Ford
AC.
Prevalence of symptoms meeting criteria for irritable bowel syndrome in inflammatory bowel disease: Systematic review and meta-analysis
.
Am J Gastroenterol.
2012
;
107
(
10
):
1474
-
1482
.

8.

Fairbrass
KM
,
Costantino
SJ
,
Gracie
DJ
,
Ford
AC.
Prevalence of irritable bowel syndrome-type symptoms in patients with inflammatory bowel disease in remission: a systematic review and meta-analysis
.
Lancet Gastroenterol Hepatol
.
2020
;
5
(
12
):
1053
-
1062
.

9.

Moninuola
OO
,
Milligan
W
,
Lochhead
P
,
Khalili
H.
Systematic review with meta-analysis: association between acetaminophen and nonsteroidal anti-inflammatory drugs (NSAIDs) and risk of Crohn’s disease and ulcerative colitis exacerbation
.
Aliment Pharmacol Ther.
2018
;
47
(
11
):
1428
-
1439
.

10.

Szigethy
E
,
Schwartz
M
,
Drossman
D.
Narcotic bowel syndrome and opioid-induced constipation
.
Curr Gastroenterol Rep.
2014
;
16
(
10
):
410
.

11.

Silverberg
D
,
Rogers
AG.
Toxic megacolon in ulcerative coltiis
.
Can Med Assoc J.
1964
;
90
(
5
):
357
-
363
.

12.

Long
MD
,
Barnes
EL
,
Herfarth
HH
,
Drossman
DA.
Narcotic use for inflammatory bowel disease and risk factors during hospitalization
.
Inflamm Bowel Dis.
2012
;
18
(
5
):
869
-
876
.

13.

Berry
SK
,
Takakura
W
,
Bresee
C
,
Melmed
GY.
Pain in inflammatory bowel disease is not improved during hospitalization: The impact of opioids on pain and healthcare utilization
.
Dig Dis Sci.
2020
;
65
(
6
):
1777
-
1783
.

14.

Wren
AA
,
Bensen
R
,
Sceats
L
, et al.
Starting young: trends in opioid therapy among US adolescents and young adults with inflammatory bowel disease in the Truven MarketScan Database between 2007 and 2015
.
Inflamm Bowel Dis.
2018
;
24
(
10
):
2093
-
2103
.

15.

Burr
NE
,
Smith
C
,
West
R
,
Hull
MA
,
Subramanian
V.
Increasing prescription of opiates and mortality in patients with inflammatory bowel diseases in England
.
Clin Gastroenterol Hepatol.
2018
;
16
(
4
):
534
-
541.e6
.

16.

Hanson
KA
,
Loftus
EV
, Jr
,
Harmsen
WS
, et al.
Clinical features and outcome of patients with inflammatory bowel disease who use narcotics: a case-control study
.
Inflamm Bowel Dis.
2009
;
15
(
5
):
772
-
777
.

17.

Niccum
B
,
Moninuola
O
,
Miller
K
,
Khalili
H.
Opioid use among patients with inflammatory bowel disease: a systematic review and meta-analysis
.
Clin Gastroenterol Hepatol.
2021
;
19
(
5
):
895
-
907.e4
.

18.

Buckley
JP
,
Kappelman
MD
,
Allen
JK
,
Van Meter
SA
,
Cook
SF.
The burden of comedication among patients with inflammatory bowel disease
.
Inflamm Bowel Dis.
2013
;
19
(
13
):
2725
-
2736
.

19.

Fischer
B
,
Jones
W
,
Urbanoski
K
,
Skinner
R
,
Rehm
J.
Correlations between prescription opioid analgesic dispensing levels and related mortality and morbidity in Ontario, Canada, 2005-2011
.
Drug Alcohol Rev.
2014
;
33
(
1
):
19
-
26
.

20.

Alley
K
,
Singla
A
,
Afzali
A.
Opioid use is associated with higher health care costs and emergency encounters in inflammatory bowel disease
.
Inflamm Bowel Dis.
2019
;
25
(
12
):
1990
-
1995
.

21.

Li
Y
,
Stocchi
L
,
Cherla
D
,
Liu
X
,
Remzi
FH.
Association of preoperative narcotic use with postoperative complications and prolonged length of hospital stay in patients With Crohn disease
.
JAMA Surg
.
2016
;
151
(
8
):
726
-
734
.

22.

Targownik
LE
,
Nugent
Z
,
Singh
H
,
Bugden
S
,
Bernstein
CN.
The prevalence and predictors of opioid use in inflammatory bowel disease: a population-based analysis
.
Am J Gastroenterol.
2014
;
109
(
10
):
1613
-
1620
.

23.

Fairbrass
KM
,
Guthrie
EA
,
Black
CJ
, et al.
Characteristics and effect of anxiety and depression trajectories in inflammatory bowel disease
.
Am J Gastroenterol.
2022
;
118
(
2
):
304
-
316
.

24.

Harvey
RF
,
Bradshaw
JM.
A simple index of Crohn’s-disease activity
.
Lancet.
1980
;
1
(
8167
):
514
.

25.

Echarri
A
,
Vera
I
,
Ollero
V
, et al.
The Harvey-Bradshaw Index adapted to a mobile application compared with in-clinic assessment: the MediCrohn Study
.
Telemed J E Health.
2020
;
26
(
1
):
80
-
88
.

26.

Walmsley
RS
,
Ayres
RC
,
Pounder
RE
,
Allan
RN.
A simple clinical colitis activity index
.
Gut.
1998
;
43
(
1
):
29
-
32
.

27.

Vermeire
S
,
Schreiber
S
,
Sandborn
WJ
,
Dubois
C
,
Rutgeerts
P.
Correlation between the Crohn’s disease activity and Harvey-Bradshaw indices in assessing Crohn’s disease severity
.
Clin Gastroenterol Hepatol.
2010
;
8
(
4
):
357
-
363
.

28.

Jowett
SL
,
Seal
CJ
,
Phillips
E
, et al.
Defining relapse of ulcerative colitis using a symptom-based activity index
.
Scand J Gastroenterol.
2003
;
38
(
2
):
164
-
171
.

29.

Zigmond
AS
,
Snaith
RP.
The hospital anxiety and depression scale
.
Acta Psychiatr Scand.
1983
;
67
(
6
):
361
-
370
.

30.

Spiller
RC
,
Humes
DJ
,
Campbell
E
, et al.
The Patient Health Questionnaire 12 Somatic Symptom scale as a predictor of symptom severity and consulting behaviour in patients with irritable bowel syndrome and symptomatic diverticular disease
.
Aliment Pharmacol Ther.
2010
;
32
(
6
):
811
-
820
.

31.

Kroenke
K
,
Spitzer
RL
,
Williams
JB.
The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms
.
Psychosom Med.
2002
;
64
(
2
):
258
-
266
.

32.

Irvine
EJ
,
Zhou
Q
,
Thompson
AK.
The Short Inflammatory Bowel Disease Questionnaire: a quality of life instrument for community physicians managing inflammatory bowel disease CCRPT Investigators Canadian Crohn’s Relapse Prevention Trial
.
Am J Gastroenterol.
1996
;
91
(
8
):
1571
-
1578
.

33.

Palsson
OS
,
Whitehead
WE
,
van Tilburg
MA
, et al.
Rome IV diagnostic questionnaires and tables for investigators and clinicians
.
Gastroenterology.
2016
;
150
(
6
):
1481
-
1491
.

34.

Bailie
S
,
Pollok
R
,
Selinger
C.
Opioid exposure in IBD and associated factors: A UK prospective multicentre audit of 1209 patients
.
Gut.
2022
;
71
(
Suppl 1
):
A137
-
A138
.

35.

British National Formulary. BNF (British National Formulary) | NICE
.
2022
.
Accessed October 19, 2022
.

36.

Barberio
B
,
Zamani
M
,
Black
CJ
,
Savarino
EV
,
Ford
AC.
Prevalence of symptoms of anxiety and depression in patients with inflammatory bowel disease: a systematic review and meta-analysis
.
Lancet Gastroenterol Hepatol
.
2021
;
6
(
5
):
359
-
370
.

37.

Ayoo
K
,
Mikhaeil
J
,
Huang
A
,
Wąsowicz
M.
The opioid crisis in North America: facts and future lessons for Europe
.
Anaesthesiol Intensive Ther
.
2020
;
52
(
2
):
139
-
147
.

38.

Luglio
G
,
Pellegrini
L
,
Rispo
A
, et al.
Post-operative morbidity in Crohn’s disease: what is the impact of patient-, disease- and surgery-related factors
?
Int J Colorectal Dis.
2022
;
37
(
2
):
411
-
419
.

39.

Murphy
DL
,
Lebin
JA
,
Severtson
SG
, et al.
Comparative rates of mortality and serious adverse effects among commonly prescribed opioid analgesics
.
Drug Saf.
2018
;
41
(
8
):
787
-
795
.

Author notes

Denotes joint last author.

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