| Literature DB >> 28965103 |
Tingting Zhang1, Elaine Kingwell2, Feng Zhu2, John Petkau3, Lorne F Kastrukoff2, Ruth Ann Marrie4, Helen Tremlett2, Charity Evans5.
Abstract
OBJECTIVE: To examine the association between optimal adherence to the first-generation injectable immunomodulatory drugs (IMDs) for multiple sclerosis (MS) and subsequent disability accumulation.Entities:
Keywords: disease progression; immunomodulatory drugs; longitudinal analysis; multiple sclerosis; adherence; observational study
Mesh:
Substances:
Year: 2017 PMID: 28965103 PMCID: PMC5640095 DOI: 10.1136/bmjopen-2017-018612
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Characteristics of subjects included in the primary analysis (n=801)
| Characteristics | Descriptive summaries |
| At the index date (baseline) | |
| Sex, n (%) | |
| Male | 192 (24.0) |
| Female | 609 (76.0) |
| Age in years, mean (SD) | 41.5 (9.5) |
| Disease duration in years, mean (SD)* | 9.9 (8.3) |
| Initial (index) IMD, n (%) | |
| Beta-interferon | 713 (89.0) |
| Glatiramer acetate | 88 (11.0) |
| During the baseline year | |
| EDSS, median (IQR) | 3.0 (2.0–4.0) |
| EDSS, n (%) | |
| ≤3 | 472 (58.9) |
| >3 and ≤5.5 | 201 (25.1) |
| ≥6 | 128 (16.0) |
| Concurrent prescription drug classes, n (%) | |
| 0–2 | 252 (31.5) |
| 3–4 | 194 (24.2) |
| 5-≤6 | 185 (23.1) |
| ≥7 | 170 (21.2) |
| Socioeconomic status, n (%)† | |
| 1 (lowest) | 130 (16.2) |
| 2 | 136 (17.0) |
| 3 | 179 (22.3) |
| 4 | 164 (20.5) |
| 5 (highest) | 168 (21.0) |
| Charlson Comorbidity Index score, n (%) | |
| 0 | 729 (91.0) |
| ≥1 | 72 (9.0) |
*Disease duration measured from multiple sclerosis symptom onset (recorded in the British Columbia Multiple Sclerosis database) to the index date (missing for five subjects).
†Based on neighbourhood income at index (missing for 19 subjects).
EDSS, Expanded Disability Status Scale: IMD, immunomodulatory drugs.
Figure 1Distribution of adherence.
Association between IMD adherence and disability accumulation: results from the generalised estimating equation models (n=801)
| Factors | ORs (95% CIs)* | |
| Univariate analysis | Multivariable analysis | |
| Level of adherence (PDC) | ||
| Suboptimal (<80%) | 1 | 1 |
| Optimal (≥80%) | 0.94 (0.78 to 1.13) | 0.94 (0.78 to 1.15) |
| Sex | ||
| Female | 1 | 1 |
| Male | 1.28 (1.07 to 1.52) | 1.28 (1.07 to 1.53) |
| Baseline age, years | 1.07 (0.99 to 1.01) | 1.00 (0.99 to 1.01) |
| Baseline EDSS | 1.03 (0.98 to 1.08) | 1.03 (0.98 to 1.08) |
| Time (years) between reference and outcome EDSS | 1.41 (1.30 to 1.55) | 1.42 (1.30 to 1.56) |
*OR >1 indicates an increased likelihood of disability accumulation.
EDSS, Expanded Disability Status Scale; IMD, immunomodulatory drugs; PDC, proportion of days covered.