| Literature DB >> 27781203 |
Candace L Beilman1, Nguyen Xuan Thanh2, Victoria Ung1, Christopher Ma1, Karen Wong1, Karen I Kroeker1, Thomas Lee1, Haili Wang1, Arto Ohinmaa2, Phil Jacobs2, Brendan P Halloran1, Richard N Fedorak1.
Abstract
Background. Adalimumab is effective for the maintenance of remission in patients with moderate-to-severe ulcerative colitis (UC). Currently, biologic therapies are used in cases where patients fail conventional medical therapies. If biologic therapies are not available, patients often choose to remain in an unwell state rather than undergo colectomy. Objective. The aim of the study was to evaluate the cost-effectiveness of adalimumab in patients with UC where adalimumab was readily available compared to not available. Methods. A previously validated Markov model was used to simulate disease progression of patients with UC who are corticosteroid-dependent and/or did not respond to thiopurine therapy. Utility scores and transition probabilities between health states were determined by using data from randomized controlled trials and real-life observational studies. Costs were obtained from the Ontario Case Costing Initiative and the Alberta Health Schedule of Medical Benefits. Results. The incremental cost-effectiveness ratios for readily available adalimumab treatment of UC were $40,000 and $59,000 per quality-adjusted life year, compared with ongoing medical therapy in an unwell state, at 5-year and 10-year treatment time horizons, respectively. Conclusion. Considering real-life patient preferences to avoid colectomy, adalimumab is cost-effective according to a willingness-to-pay threshold of $80,000 for treatment of UC.Entities:
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Year: 2016 PMID: 27781203 PMCID: PMC5065999 DOI: 10.1155/2016/5315798
Source DB: PubMed Journal: Can J Gastroenterol Hepatol ISSN: 2291-2789
Figure 1Markov model simulating the progression of a cohort of patients with moderate-to-severe ulcerative colitis, who are corticosteroid-dependent or refractory to thiopurines, in situations where adalimumab is readily available compared to situations when it is unavailable.
Health state definitions.
| Health state | Definition |
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| Response to medical treatment (steroid/ADA) | Reduction/resolution of symptoms due to patients' respective treatment regimens. Patients in this cohort would have a UC Disease Activity Index (DAI) score of 0–2 (out of 12) or a partial Mayo score of 0-1 (out of 9). |
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| Unwell | Patients are experiencing recurrent disease activity despite being treated with medical therapy (steroids, 5-ASA, azathioprine, or biologics). Patients in this cohort would have a UC DAI score of 3–8 (out of 12) or a partial Mayo score of 2–6 (out of 9). Symptoms often include 5–8 bowel movements per day, some rectal bleeding, and chronic fecal urgency. |
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| Chronic pouchitis | A common long-term complication after restorative proctocolectomy with ileal pouch-anal anastomosis for patients with UC. Chronic pouchitis is characterized by inflammation of the ileal pouch after surgery, presenting with symptoms of increased stool frequency, urgency, incontinence, and dehydration. In this study, the chronic pouchitis health state refers to chronic pouchitis patients who are refractory to antibiotic therapy to attain remission. |
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| Steroid/ADA complication | Any complication that occurred as a result of the medical treatment (steroid or ADA) that required a change in treatment or health state. |
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| Non-/loss of response (ADA) | Nonresponse refers to patients who never responded to ADA, whereas loss of response refers to patients who experienced an initial response but lost response in subsequent cycles. |
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| Surgery | Proctocolectomy with ileal pouch-anal anastomosis for those patients who did not respond to medical treatment. Typically patients with severe UC undergo surgery in order to manage their disease. |
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| Surgical complication | Any complication that occurred as a result of surgery that requires patient to be hospitalized or to undergo further surgery to correct the complication. |
Markov model input parameters for chronic ulcerative colitis.
| Transition probabilities (%)/cycle | Costs (CA$)/cycle | Utility scores/year | |
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| (1) Response | 33.92 (28.09–40.33) | ||
| (2) Unwell | 57.11 (50.5–63.27) | ||
| (3) Complication | 2.80 (0.56–7.63) | ||
| (4) Surgery | # | ||
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| (1) Response | 53.30 (46.81–59.67) | ||
| (2) Loss of response | # | ||
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| (1) Unwell | # | ||
| (2) Complication | 2.80 (0.56–7.63) | ||
| (3) Surgery | 10.00 (6.40–14.28) | ||
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| (1) Surgery | 98.00 (93.70–99.78) | ||
| (2) Death | # | ||
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| (1) Early response | # | ||
| (2) Complication | 12.8 (8.76–17.91) | ||
| (3) Death | 2.50 (0.98–5.69) | ||
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| (1) Response to surgery | 85.80 | ||
| (2) Surgical complication | # | ||
| (3) Chronic pouchitis (CP) | 11.70 | ||
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| (1) Response to ADA (CP) | See | ||
| (2) Nonresponse (unwell-CP) | # | ||
| (3) ADA complication (CP) | 4.20 | ||
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| (1) Hospitalization | 99.50 (97.22–99.99) | ||
| (2) Death | # | ||
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| (1) Response to ADA | 86.80 (75.74–97.86) | ||
| (2) ADA complication | 3.04 | ||
| (3) Nonresponse (unwell) | # | ||
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| (1) Response to ADA | See | ||
| (2) ADA complication | 7.88 | ||
| (3) Loss of response (unwell) | # | ||
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| (1) Response to ADA | 70.00 | ||
| (2) Unwell on steroids | 14.00 | ||
| (3) Surgery | 14.00 | ||
| (4) Death | # | ||
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#: complement probability.
Markov model input parameters for chronic pouchitis.
| Health states | Transition probabilities (%)/cycle | Costs (CA$)/cycle | Utility scores/year |
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| (1) Response to ADA 1 | See | ||
| (2) Lost response (unwell 1) | # | ||
| (3) ADA complication 1 | 4.20 | ||
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| (1) Unwell 1 | # | ||
| (2) Surgery 1 | 10.00 | ||
| (3) Steroid complication 1 | 2.80 | ||
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| (1) Response to ADA 1 | 60.00 | ||
| (2) Unwell 1 | 19.00 | ||
| (3) Surgery 1 | 19.00 | ||
| (4) Death | # | ||
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| (1) Response to ADA 1 | 51.00 | ||
| (2) Unwell 1 | 23.50 | ||
| (3) Surgery 1 | 23.50 | ||
| (4) Death | # | ||
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| (1) Response 1 | # | ||
| (2) Surgery complication 1 | 12.80 | ||
| (3) Death | 2.50 | ||
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| (1) Surgery 1 | 98.00 | ||
| (2) Death | # | ||
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| (1) Response to surgery 1 | # | ||
| (2) Surgical complication 1 | 2.50 | ||
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| (1) Response to surgery | # | ||
| (2) Death | 0.50 | ||
#: complement probability.
Maintenance probabilities of patients on adalimumab over time.
| Cycle # | Rate of response of UC patients [ | Chronic pouchitis patients (ADA not available arm) [ | Chronic pouchitis patients (ADA available arm) | Rate of response of patient's dose escalated [ |
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| 0 | 86.8 | 62.6 | 53.2 | 93.8 |
| 1 | 73.3 | 61.2 | 52.0 | 80.5 |
| 2 | 66.5 | 59.9 | 50.9 | 73.7 |
| 3 | 62.0 | 58.6 | 49.8 | 69.1 |
| 4 | 58.7 | 57.3 | 48.7 | 65.8 |
| 5 | 56.2 | 56.1 | 47.7 | 63.2 |
| 6 | 54.1 | 54.9 | 46.7 | 61.1 |
| 7 | 52.4 | 53.7 | 45.6 | 59.4 |
| 8 | 50.9 | 52.5 | 44.6 | 57.8 |
| 9 | 49.6 | 51.4 | 43.7 | 56.5 |
| 10 | 48.5 | 50.3 | 42.8 | 55.3 |
| 11 | 47.5 | 49.2 | 41.8 | 54.3 |
| 12 | 46.5 | 48.1 | 40.9 | 53.3 |
| 13 | 45.7 | 47.0 | 40.0 | 52.5 |
| 14 | 45.0 | 46.0 | 39.1 | 51.7 |
| 15 | 44.3 | 45.0 | 38.3 | 51.0 |
| 16 | 43.6 | 44.0 | 37.4 | 50.3 |
| 17 | 43.0 | 43.1 | 36.6 | 49.7 |
| 18 | 42.4 | 42.1 | 35.8 | 49.1 |
| 19 | 41.9 | 41.2 | 35.0 | 48.5 |
| ≥20 | 41.4 | 40.2 | 34.2 | 48.0 |
To calculate the response probability for patients with chronic pouchitis who had been previously exposed to and failed adalimumab, a 15% discount was taken from the probability of response of patients with chronic pouchitis who had never been exposed to ADA.
These maintenance probabilities are based on Crohn's disease patient information.
Incremental cost-effectiveness ratios between adalimumab treatment and no adalimumab treatment but instead ongoing medical treatment.
| Time horizon | Utility score of response with ADA measured by time trade-off ( | Utility score of response with ADA measured by visual rating scale ( |
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| 5 years | $45,000 ($25,000–$65,000) | $40,000 ($22,000–$58,000) |
| 10 years | $59,000 ($37,000–$81,000) | $53,000 ($33,000–$72,000) |
| 15 years | $68,000 ($45,000–$91,000) | $60,000 ($40,000–$81,000) |
u = utility score for the response to adalimumab health state.
Figure 2Cost-effectiveness acceptability curves.