Volume 2022, Issue 1 1807571
Research Article
Open Access

Autoimmune Idiopathic Inflammatory Myopathies: Pharmacological Differences and Similarities by Type of Myositis and by Sociodemographic Variables

Luis Fernando Valladales-Restrepo

Luis Fernando Valladales-Restrepo

Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S. A, Pereira, Risaralda, Colombia utp.edu.co

Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia uam.edu.co

Semillero de Investigación en Farmacología Geriátrica, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Risaralda, Colombia uam.edu.co

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Ana Camila Delgado-Araujo

Ana Camila Delgado-Araujo

Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S. A, Pereira, Risaralda, Colombia utp.edu.co

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Brayan Stiven Aristizábal-Carmona

Brayan Stiven Aristizábal-Carmona

Semillero de Investigación en Farmacología Geriátrica, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Risaralda, Colombia uam.edu.co

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Lina María Saldarriaga-Rivera

Lina María Saldarriaga-Rivera

Grupo de Investigación en Medicina Interna, Universidad Tecnológica de Pereira, Pereira, Risaralda, Colombia utp.edu.co

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Jorge Enrique Machado-Alba

Corresponding Author

Jorge Enrique Machado-Alba

Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S. A, Pereira, Risaralda, Colombia utp.edu.co

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First published: 05 July 2022
Citations: 1
Academic Editor: Samar Tharwat

Abstract

Objective. Autoimmune idiopathic inflammatory myopathies (IIMs) are a group of pathologies that are generally characterized by muscle weakness. Their treatment involves glucocorticoids and immunosuppressants. The aim was to identify differences and similarities in the pharmacological management of a group of patients with autoimmune IIMs according to the type of disease, sex, age group, and city of residence in Colombia from 2020 to 2021. Methods. This cross-sectional study identified medication prescription patterns for outpatient use in patients with autoimmune IIMs between 2020 and 2021 based on a population database of 8.5 million Colombians affiliated with the Colombian health system. Sociodemographic and pharmacological variables were considered. Results. A total of 671 patients with autoimmune IIMs were identified, with a median age of 57 years, and 70.9% were women. Overlap myositis was the most frequent disease (31.4%). A total of 91.5% of the patients received pharmacological treatment, mainly systemic glucocorticoids (78.5%), conventional disease-modifying antirheumatic drugs (DMARDs) (74.1%), immunosuppressants (9.1%), and biological DMARDs (3.7%). Pharmacological management predominated among patients with overlap myositis, those who lived in cities, and those affiliated with the contributory regime of the Colombian health system. Conventional DMARDs were prescribed mainly to women and to those older than 65 years. Conclusions. Patients with autoimmune IIMs are not treated homogeneously. The pattern of drug use varies according to the type of IIM, sex, age group, city, and health system regime affiliation.

1. Introduction

Autoimmune idiopathic inflammatory myopathies (IIMs) are a group of rare immune-mediated, multisystemic, heterogeneous diseases that mainly affect skeletal muscle and the skin but can also affect many other organs, such as the lungs, heart, joints, and gastrointestinal tract [13]. They are mainly characterized by progressive, symmetrical muscle weakness, and sometimes myalgias, but in addition, heliotrope erythema, Gottron papules, and cutaneous ulcers may appear on the skin. Extramuscular manifestations may also emerge, such as fever, arthralgia, Raynaud’s phenomenon, arrhythmias, and dysfunction. Ventricular and pulmonary complications are mainly due to interstitial lung disease [46]. The prevalence varies between 2.4 and 33.8 per 100,000 inhabitants, and the incidence ranges from 1.16 to 19 per million people per year [7]. In Colombia, the estimated global prevalence is 25.7 cases per 100,000 inhabitants [8].

IIMs traditionally include polymyositis, dermatomyositis, juvenile dermatomyositis, inclusion body myositis, immune-mediated necrotizing myopathy, and antisynthetase syndrome [1, 3, 9]. In addition, inflammation of the skeletal tissue can occur in the context of other connective tissue diseases, such as systemic lupus erythematosus, rheumatoid arthritis, Sjögren’s syndrome, and systemic sclerosis, a condition called overlap myositis [3, 5]. Its management seeks to control the inflammatory process and prevent damage to skeletal muscle or extramuscular organs [2]. Depending on the type of autoimmune IIM and its severity and complications, systemic glucocorticoids, conventional disease-modifying antirheumatic drugs (DMARDs) (especially azathioprine or methotrexate), or immunosuppressants (primarily cyclophosphamide, cyclosporine, human mycophenolate mofetil, or gamma-globulin) are prescribed. Biological DMARDs (mainly rituximab) [24, 6, 10] are given, but the response to treatment varies [3].

The Colombian health system offers universal coverage to the entire population through two regimes, including one contributory (paid by the worker and employer) and another subsidized by the state, and has a benefit plan that includes a heterogeneous group of medications used for the treatment of autoimmune IIMs. Sociodemographic factors such as age, sex, location of residence, and type of health system coverage can influence the use of medications [1113], as well as the type of autoimmune IIM diagnosed [14]. Therefore, we aimed to identify differences and similarities in the pharmacological management of a group of Colombian patients with autoimmune IIMs according to the type of disease, sex, age group, place of residence (capital city vs. smaller city), and system regime affiliation in 2020-2021.

2. Materials and Methods

An observational cross-sectional study was conducted on the prescription patterns of drugs used in patients diagnosed with autoimmune IIMs based on a population database that collects information from approximately 8.5 million people affiliated with the Colombian health system through six health insurance companies, corresponding to approximately 30.0% of the active affiliated population of the contributory or payment regime and 6.0% of the state-subsidized regime, accounting for 17.3% of the Colombian population.

Patients were identified and classified using International Classification of Diseases (ICD-10) codes, including those for juvenile dermatomyositis (M330), dermatomyositis (M331), polymyositis (M332), and dermatopolymyositis (M339) in the period between January 1, 2020, and December 31, 2021. Patients with a concomitant diagnosis of rheumatoid arthritis (M053, M058-M060, M068, M069, and M080), systemic sclerosis (M340, M348, and M349), systemic lupus erythematosus (M321, M328, and M329), and Sjögren’s syndrome (M350) were considered to have overlap myositis. Patients of any age and sex who attended outpatient medical consultations were selected. Those with two or more different diagnoses of autoimmune IIMs and those who appeared only once with a considered diagnosis in the study period were excluded.

Based on information on drug consumption for the affiliated population systematically obtained from the dispensing company (Audifarma S.A.), a database was designed in which we gathered the following groups of patient variables:
  • (1)

    Sociodemographic: sex, age (<40 years, 40-64 years, and ≥65 years), regime affiliation (contributory or subsidized), and dispensation city. The place of residence was categorized into a region according to the classification of the National Administrative Department of Statistics (DANE) of Colombia (the entity responsible for the planning, processing, analysis, and dissemination of official statistics in Colombia) as follows: Bogotá-Cundinamarca region, Caribbean region, Central region, Eastern region, Pacific region, and Amazonia-Orinoquía region. The city of residence was classified as a capital city or an intermediate municipality

  • (2)

    Comorbidities were identified from the diagnoses reported by the ICD-10 in the selected patients

  • (3)

    Medications:

    • (i)

      Systemic glucocorticoids: prednisolone, prednisone, deflazacort, methylprednisolone, dexamethasone, hydrocortisone, and betamethasone

    • (ii)

      Conventional DMARDs: methotrexate and azathioprine. Others: chloroquine, hydroxychloroquine, leflunomide, and sulfasalazine

    • (iii)

      Immunosuppressants: mycophenolate mofetil, cyclophosphamide, cyclosporine, tacrolimus, and human gamma globulin

    • (iv)

      Biological DMARDs: rituximab. Others: infliximab, etanercept, adalimumab, and certolizumab

  • (4)

    Comedications were grouped into the following categories: (a) antidiabetics (oral and subcutaneous), (b) antihypertensives and diuretics, (c) lipid-lowering drugs, (d) antiulcer drugs, (e) antidepressants, (f) anxiolytics and hypnotics (benzodiazepines and Z drugs), (g) thyroid hormone, (h) antipsychotics (typical and atypical), (i) antiepileptics, (j) antiarrhythmics, (k) antihistamines, (l) antidementia drugs, (m) analgesics (acetaminophen and opioids), (n) nonsteroidal anti-inflammatory drugs, and (o) inhaled bronchodilators and corticosteroids and others

The protocol was approved by the Bioethics Committee of the Universidad Tecnologica de Pereira in the category of research without risk. The ethical principles established by the Declaration of Helsinki were respected.

The data were analyzed with the statistical package SPSS Statistics, version 26.0 for Windows (IBM, USA). A descriptive analysis was performed with frequencies and proportions for the qualitative variables and measures of central tendency and dispersion for the quantitative variables depending on their parametric behavior established by the Kolmogorov–Smirnov test. Quantitative variables were compared by Student’s t-test or the Mann–Whitney U test, and categorical variables were compared by the χ2 test or Fisher’s exact test. Statistical significance was accepted at p < 0.05.

3. Results

A total of 671 patients diagnosed with some autoimmune IIMs were identified, who were distributed in 71 different cities or municipalities. The percentage of women was 70.9% (n = 476). The median age was 57.0 years (interquartile range: 43.0-66.0 years; range: 19.0-93.0 years), and the patients were distributed in the following age groups: <40 years (n = 135; 20.1%), 40-64 years (n = 346; 51.6%), and ≥65 years (n = 190; 28.3%). Most of them lived in the Bogotá-Cundinamarca region (n = 240; 35.8%), followed by the Caribbean region (n = 141, 21.0%), the central region (n = 130; 19.4%), the Pacific region (n = 130; 19.4%), and the eastern Amazon region (n = 30; 4.5%). Three-fourths (n = 508; 75.7%) of them took their medications in capital cities. A total of 87.9% (n = 590) were affiliated with the contributory regime, and 12.1% (n = 81) were affiliated with the country’s subsidized health system.

Most patients had a diagnosis of overlap myositis (n = 211; 31.4%), followed by polymyositis (n = 198; 29.5%), other dermatomyositis (n = 145; 21.6%), dermatopolymyositis (n = 113; 16.8%), and juvenile dermatomyositis (n = 4; 0.6%). Among the most frequent comorbidities in this group of patients were arterial hypertension (n = 249; 37.1%), diabetes mellitus (n = 139; 20.7%), and hypothyroidism (n = 124; 18.5%). According to groups, rheumatological pathologies (n = 274; 40.8%) were the most prevalent, followed by endocrine (n = 261; 38.9%) and cardiovascular pathologies (n = 252; 37.6%). Among the patients with overlap myositis, the most frequently noted concomitant rheumatological diseases were rheumatoid arthritis (n = 119/211; 56.4%), systemic lupus erythematosus (n = 64; 30.3%), Sjögren’s syndrome (n = 55; 26.1%), and systemic sclerosis (n = 13; 6.2%). A total of 23.4% (n = 157) had some infection and predominantly urinary tract infections (n = 61; 9.1%), followed by upper respiratory tract infections (n = 43; 6.4%), skin infections (n = 26; 3.9%), intestinal infections (n = 22; 3.3%), and lower respiratory tract infections (n = 20; 3.0%).

A total of 91.5% (n = 614) of patients received pharmacological treatment for autoimmune IIMs, especially systemic glucocorticoids (n = 527; 78.5%), particularly prednisolone (n = 414; 61.7%) and prednisone (n = 149; 22.2%), followed by conventional DMARDs (n = 497; 74.1%), with prescriptions for azathioprine (n = 327; 48.7%) and methotrexate (n = 242; 36.1%) predominating, while the use of immunosuppressants was found in 9.1% (n = 61) of patients, and biological DMARDs were used by 3.7% (n = 25). The main comedications identified in this group of patients were analgesics (n = 449; 66.9%), antiulcer agents (n = 413; 61.5%), antihypertensives/diuretics (n = 288; 42.9%), nonsteroidal anti-inflammatories (n = 283; 42.2%), and antihistamines (n = 242; 36.1%).

3.1. Associations between the Type of Autoimmune Idiopathic Inflammatory Myositis and Some Sociodemographic Variables

Systemic glucocorticoids, immunosuppressants, and conventional and biological DMARDs predominated in a statistically significant manner in overlap myositis (Table 1 and Supplementary Table 1). Prednisolone, prednisone, and conventional DMARDs were prescribed significantly more frequently to women (Table 2). With respect to age, conventional DMARDs were used more often in adults older than 65 years, but chloroquine predominated among those younger than 65 years (Table 3). Significant differences were found between the place of origin and the type of health system regime affiliation, where pharmacological treatment and the use of conventional DMARDs predominated among patients from capital cities and among those affiliated with the contributory regime (Tables 4 and 5, respectively).

1. Comparison of some sociodemographic and pharmacological variables between the types of overlap myositis and nonoverlap myositis in Colombia.
Variables Nonoverlap myositis Overlap myositis p
n = 460 % n = 211 %
Age, median (IQR) 55.0 (41.0-65.0) 59.0 (47.0-68.0) 0.016 
Women 303 65.9 173 82.0 <0.001
Comorbidities 324 70.4 211 100.0 <0.001
Arterial hypertension 154 33.5 95 45.0 0.004
Diabetes mellitus 87 18.9 52 24.6 0.089
Hypothyroidism 76 16.5 48 22.7 0.054
Rheumatoid arthritis 0 0.0 119 56.4 <0.001 ∗∗
Chronic pain 43 9.3 34 16.1 0.011
Infections 91 19.8 66 31.3 0.001
Pharmacotherapy 408 88.7 206 97.6 <0.001
Systemic glucocorticoids 349 75.9 178 84.4 0.013
Prednisolone 264 57.4 150 71.1 0.001
Prednisone 100 21.7 49 23.2 0.668
Dexamethasone 85 18.5 34 16.1 0.457
Methylprednisolone 27 5.9 25 11.8 0.007
Pulses 5 1.1 5 2.4 0.301 ∗∗
Deflazacort 29 6.3 18 8.5 0.294
Betamethasone 21 4.6 9 4.3 0.861
Hydrocortisone 8 1.7 2 0.9 0.733 ∗∗
Conventional DMARDs 303 65.9 194 91.9 <0.001
Azathioprine 205 44.6 122 57.8 0.001
Methotrexate 141 30.7 101 47.9 <0.001
Chloroquine 56 12.2 49 23.2 <0.001
Hydroxychloroquine 5 1.1 27 12.8 <0.001
Sulfasalazine 3 0.7 3 1.4 0.385 ∗∗
Leflunomide 2 0.4 3 1.4 0.182 ∗∗
Immunosuppressants 32 7.0 29 13.7 0.005
Mycophenolate 12 2.6 12 5.7 0.046
Cyclosporine 11 2.4 10 4.7 0.105
Cyclophosphamide 11 2.4 10 4.7 0.105
Human immunoglobulin 2 0.9 3 0.7 0.652 ∗∗
Biological DMARDs 9 2.0 16 7.6 <0.001
Rituximab 7 1.5 14 6.6 <0.001
Others (n = 4)^ 2 0.4 2 0.9 0.594 ∗∗
Comedications
Analgesics 291 63.3 158 74.9 0.003
Antiulcer 260 56.5 153 72.5 <0.001
Antihypertensives and diuretics 188 40.9 100 47.4 0.113
Nonsteroidal anti-inflammatory drugs 186 40.4 97 46.0 0.178
Antihistamines 154 33.5 88 41.7 0.039
  • IQR: interquartile range; DMARD: disease-modifying antirheumatic drugs.  Mann–Whitney U test.  ∗∗Fisher’s exact test. ^Others: adalimumab, abatacept, belimumab, and certolizumab.
2. Comparison of some sociodemographic and pharmacological variables between women and men diagnosed with autoimmune idiopathic inflammatory myopathies in Colombia.
Variables Women Men p
n = 476 % n = 195 %
Age, median (IQR) 53.0 (41.0-64.0) 53.0 (41.0-64.0) 0.054 
Type of inflammatory myopathy
Overlap myositis 173 36.3 38 19.5 <0.001
Polymyositis 118 24.8 80 41.0 <0.001
Other dermatomyositis 96 20.2 49 25.1 0.156
Dermatopolymyositis 86 18.1 27 13.8 0.185
Juvenile dermatomyositis 3 0.6 1 0.5 1.000 ∗∗
Comorbidities 397 83.4 138 70.8 <0.001
Arterial hypertension 187 39.3 62 31.8 0.068
Diabetes mellitus 104 21.8 35 17.9 0.258
Hypothyroidism 96 20.2 28 14.4 0.078
Rheumatoid arthritis 97 20.4 22 11.3 0.005
Chronic pain 61 12.8 16 8.2 0.089
Infections 119 25.0 38 19.5 0.126
Pharmacotherapy 441 92.6 173 88.7 0.097
Systemic glucocorticoids 380 79.8 147 75.4 0.203
Prednisolone 305 64.1 109 55.9 0.048
Prednisone 117 24.6 32 16.4 0.021
Dexamethasone 90 18.9 29 14.9 0.214
Methylprednisolone 43 9.0 9 4.6 0.052
Pulses 9 1.9 1 0.5 0.295 ∗∗
Deflazacort 35 7.4 12 6.2 0.581
Betamethasone 22 4.6 8 4.1 0.768
Hydrocortisone 9 1.9 1 0.5 0.295 ∗∗
Conventional DMARDs 366 76.9 131 67.2 0.009
Azathioprine 238 50.0 89 45.6 0.305
Methotrexate 181 38.0 61 31.3 0.099
Chloroquine 82 17.2 23 11.8 0.079
Hydroxychloroquine 27 5.7 5 2.6 0.086
Sulfasalazine 5 1.1 1 0.5 0.678 ∗∗
Leflunomide 3 0.6 2 1.0 0.631 ∗∗
Immunosuppressants 43 9.0 18 9.2 0.936
Mycophenolate 17 3.6 7 3.6 0.991
Cyclosporine 16 3.4 5 2.6 0.590
Cyclophosphamide 15 3.2 6 3.1 0.960
Human immunoglobulin 4 0.8 1 0.5 1.000 ∗∗
Biological DMARDs 19 4.0 6 3.1 0.570
Rituximab 17 3.6 4 2.1 0.464 ∗∗
Others (n = 4)^ 2 0.4 2 1.0 0.584 ∗∗
Comedications
Analgesics 328 68.9 121 62.1 0.087
Antiulcer 312 65.5 101 51.8 0.001
Antihypertensives and diuretics 216 45.4 72 36.9 0.045
Nonsteroidal anti-inflammatory drugs 204 42.9 79 40.5 0.577
Antihistamines 189 39.7 53 27.2 0.002
  • IQR: interquartile range; DMARD: disease-modifying antirheumatic drugs.  Mann–Whitney U test.  ∗∗Fisher’s exact test. ^Others: adalimumab, abatacept, belimumab, and certolizumab.
3. Comparison of some sociodemographic and pharmacological variables between age groups of patients diagnosed with autoimmune idiopathic inflammatory myopathies in Colombia.
Variables <65 years ≥65 years p
n = 491 % n = 190 %
Woman 334 69.4 142 74.7 0.173
Type of inflammatory myopathy
Overlap myositis 141 29.3 70 36.8 0.058
Polymyositis 136 28.3 62 32.6 0.265
Other dermatomyositis 112 23.3 33 17.4 0.093
Dermatopolymyositis 88 18.3 25 13.2 0.109
Juvenile dermatomyositis 4 0.8 0 0.0 0.582 
Comorbidities 358 74.4 177 93.2 <0.001
Arterial hypertension 134 27.9 115 60.5 <0.001
Diabetes mellitus 67 13.9 72 37.9 <0.001
Hypothyroidism 65 13.5 59 31.1 <0.001
Rheumatoid arthritis 74 15.4 45 23.7 0.011
Chronic pain 49 10.2 28 14.7 0.096
Infections 107 22.2 50 26.3 0.262
Pharmacotherapy 440 91.5 174 91.6 0.966
Systemic glucocorticoids 381 79.2 146 76.8 0.501
Prednisolone 292 60.7 122 64.2 0.400
Prednisone 112 23.3 37 19.5 0.285
Dexamethasone 92 19.1 27 14.2 0.133
Methylprednisolone 40 8.3 12 6.3 0.383
Pulses 7 1.5 3 1.6 1.000 
Deflazacort 34 7.1 13 6.8 0.918
Betamethasone 22 4.6 8 4.2 0.837
Hydrocortisone 7 1.5 3 1.6 1.000 
Conventional DMARDs 346 71.9 151 79.5 0.045
Azathioprine 233 48.4 94 49.5 0.809
Methotrexate 166 34.5 76 40.0 0.182
Chloroquine 86 17.9 19 10.0 0.011
Hydroxychloroquine 25 5.2 7 3.7 0.407
Sulfasalazine 3 0.6 3 1.6 0.359 
Leflunomide 4 0.8 1 0.5 1.000 
Immunosuppressants 50 10.4 11 5.8 0.062
Mycophenolate 21 4.4 3 1.6 0.105 
Cyclosporine 16 3.3 5 2.6 0.641
Cyclophosphamide 18 3.7 3 1.6 0.217 
Human immunoglobulin 5 1.0 0 0.0 0.329 
Biological DMARDs 21 4.4 4 2.1 0.256 
Rituximab 17 3.5 4 2.1 0.462 
Others (n = 4)^ 4 0.8 0 0.0 0.582
Comedications
Analgesics 313 65.1 136 71.6 0.107
Antiulcer 287 59.7 126 66.3 0.111
Antihypertensives and diuretics 164 34.1 124 65.3 <0.001
Nonsteroidal anti-inflammatory drugs 215 44.7 68 35.8 0.035
Antihistamines 185 38.5 57 30.0 0.040
  • Fisher’s exact test. DMARD: disease-modifying antirheumatic drugs. ^Others: adalimumab, abatacept, belimumab, and certolizumab.
4. Comparison of some sociodemographic and pharmacological variables between cities and municipalities of patients diagnosed with autoimmune idiopathic inflammatory myopathies in Colombia.
Variables Capital city Intermediate municipality p
n = 508 % n = 163 %
Age, median (IQR) 56.0 (43.0-67.0) 57.0 (41.0-65.0) 0.550 
Women 367 72.2 109 66.9 0.189
Type of inflammatory myopathy
Overlap myositis 163 32.1 48 29.4 0.528
Polymyositis 150 29.5 48 29.4 0.985
Other dermatomyositis 96 18.9 49 30.1 0.003
Dermatopolymyositis 95 18.7 18 11.0 0.023
Juvenile dermatomyositis 4 0.8 0 0.0 0.577 ∗∗
Comorbidities 410 80.7 125 76.7 0.266
Arterial hypertension 189 37.2 60 36.8 0.928
Diabetes mellitus 102 20.1 37 22.7 0.473
Hypothyroidism 100 19.7 24 14.7 0.156
Rheumatoid arthritis 93 18.3 26 16.0 0.493
Chronic pain 68 13.4 9 5.5 0.006
Infections 123 24.2 34 20.9 0.379
Pharmacotherapy 474 93.3 140 85.9 0.003
Systemic glucocorticoids 397 78.1 130 79.8 0.664
Prednisolone 312 61.4 102 62.6 0.791
Prednisone 119 23.4 30 18.4 0.180
Dexamethasone 81 15.9 38 23.3 0.032
Methylprednisolone 41 8.1 11 6.7 0.583
Pulses 7 1.4 3 1.8 0.712 ∗∗
Deflazacort 38 7.5 9 5.5 0.394
Betamethasone 17 3.3 13 8.0 0.013
Hydrocortisone 7 1.4 3 1.8 0.712 ∗∗
Conventional DMARDs 397 78.1 100 61.3 <0.001
Azathioprine 260 51.2 67 41.1 0.025
Methotrexate 195 38.4 47 28.8 0.027
Chloroquine 83 16.3 22 13.5 0.385
Hydroxychloroquine 28 5.5 4 2.5 0.139 ∗∗
Sulfasalazine 4 0.8 2 1.2 0.637 ∗∗
Leflunomide 1 0.2 4 2.5 0.014 ∗∗
Immunosuppressants 46 9.1 15 9.2 0.955
Mycophenolate 19 3.7 5 3.1 0.687
Cyclosporine 13 2.6 8 4.9 0.134
Cyclophosphamide 18 3.5 3 1.8 0.437 ∗∗
Human immunoglobulin 4 0.8 1 0.6 1.000 ∗∗
Biological DMARDs 20 3.9 5 3.1 0.610
Rituximab 16 3.1 5 3.1 0.958
Others (n = 4)^ 4 0.8 0 0.0 0.577 
Comedications
Analgesics 335 65.9 114 69.9 0.346
Antiulcer 312 61.4 101 62.0 0.901
Antihypertensives and diuretics 218 42.9 70 42.9 0.994
Nonsteroidal anti-inflammatory drugs 208 40.9 75 46.0 0.254
Antihistamines 183 36.0 59 36.2 0.968
  • IQR: interquartile range; DMARD: disease-modifying antirheumatic drugs.  Mann–Whitney U test.  ∗∗Fisher’s exact test. ^Others: adalimumab, abatacept, belimumab, and certolizumab.
5. Comparison of some sociodemographic and pharmacological variables between the types of affiliation regimen to the health system of patients diagnosed with autoimmune idiopathic inflammatory myopathies in Colombia.
Variables Contributory Subsidized p
n = 590 % n = 81 %
Age, median (IQR) 58.0 (44.0-67.0) 48.0 (32.5-59.5) <0.001 
Women 415 70.3 61 75.3 0.356
Type of inflammatory myopathy
Overlap myositis 188 31.9 23 28.4 0.528
Polymyositis 174 29.5 24 29.6 0.980
Other dermatomyositis 124 21.0 21 25.9 0.314
Dermatopolymyositis 100 16.9 13 16.0 0.839
Juvenile dermatomyositis 4 0.7 0 0.0 1.000 
Comorbidities 473 80.2 62 76.5 0.446
Arterial hypertension 230 39.0 19 23.5 0.007
Diabetes mellitus 127 21.5 12 14.8 0.162
Hypothyroidism 116 19.7 8 9.9 0.033
Rheumatoid arthritis 105 17.8 14 17.3 0.910
Chronic pain 74 12.5 3 3.7 0.015 ∗∗
Infections 141 23.9 16 19.8 0.409
Pharmacotherapy 547 92.7 67 82.7 0.002
Systemic glucocorticoids 468 79.3 59 72.8 0.183
Prednisolone 375 63.6 39 48.1 0.007
Prednisone 135 22.9 14 17.3 0.256
Dexamethasone 103 17.5 16 19.8 0.612
Methylprednisolone 45 7.6 7 8.6 0.749
Pulses 10 1.7 0 0.0 0.618 
Deflazacort 40 6.8 7 8.6 0.538
Betamethasone 28 4.7 2 2.5 0.565 ∗∗
Hydrocortisone 9 1.5 1 1.2 1.000 ∗∗
Conventional DMARDs 448 75.9 49 60.5 0.003
Azathioprine 288 48.8 39 48.1 0.911
Methotrexate 219 37.1 23 28.4 0.125
Chloroquine 92 15.6 13 16.0 0.916
Hydroxychloroquine 28 4.7 4 4.9 1.000 ∗∗
Sulfasalazine 6 1.0 0 0.0 1.000 ∗∗
Leflunomide 5 0.8 0 0.0 1.000 ∗∗
Immunosuppressants 57 9.7 4 4.9 0.166 ∗∗
Mycophenolate 22 3.7 2 2.5 0.757 ∗∗
Cyclosporine 20 3.4 1 1.2 0.497 ∗∗
Cyclophosphamide 19 3.2 2 2.5 1.000 ∗∗
Human immunoglobulin 5 0.8 0 0.0 1.000 ∗∗
Biological DMARDs 22 3.7 3 3.7 1.000 ∗∗
Rituximab 18 3.1 3 3.7 0.732 ∗∗
Others (n = 4)^ 4 0.7 0 0.0 1.000 ∗∗
Comedications
Analgesics 393 66.6 56 69.1 0.651
Antiulcer 363 61.5 50 61.7 0.972
Antihypertensives and diuretics 262 44.4 26 32.1 0.036
Nonsteroidal anti-inflammatory drugs 237 40.2 46 56.8 0.005
Antihistamines 211 35.8 31 38.3 0.659
  • IQR: interquartile range; DMARD: disease-modifying antirheumatic drugs.  Mann–Whitney U test.  ∗∗Fisher’s exact test. ^Others: adalimumab, abatacept, belimumab, and certolizumab.

4. Discussion

This study allowed us to identify the pattern of prescription medications taken by patients with autoimmune IIMs as evidence of the use of medications in the real world in a group of people affiliated with the Colombian health system. To the best of our knowledge, this is the largest study of patients with these pathologies in Colombia or Latin America. The median age of the patients was higher than that found in other studies (34.3-52.5 years) [9, 1418], although a predominance of women was found in all such studies (63.3-69.0-82.7%) [9, 1420]. On the other hand, the characterization of the main comorbidities was also consistent with that found in other publications [12, 14, 17, 18, 21].

In this analysis, most patients were diagnosed with overlap myositis, which is consistent with observations reported by Chinniah and Mody in a cohort from South Africa (39.4%) [19] but is not consistent with observations found in the European registry of inflammatory myopathies (EuroMyositis Registry), where dermatomyositis predominated (31.0%) [9], as in Asia (42.0-63.3%) [15, 16, 22] and South America (43.9-62.9%) [17, 21], while in Spain, cases of polymyositis prevailed (29.0-40.1%) [14, 18]. These differences may be methodological in nature, deriving from the type of study, the inclusion and exclusion criteria, the method of identifying the patients, the source of information, the diagnostic criteria used, and the period during which the cases were identified, as well as the different geographical regions where the research was conducted [8, 9, 1419, 21, 22]. In this study, the patients were identified by their ICD-10 codes, but the ICD-10 does not have an exact diagnosis for some autoimmune IIMs, such as antisynthetase syndrome, immune-mediated necrotizing myopathy, and inclusion body myositis [23], which leads to the available codes being used to cover different types of myositis [3].

Most patients received some medication for their autoimmune IIMs in contrast to data found in the EuroMyositis Registry, where only one-third of patients were receiving treatment at the time of publication [9]. The proportion of patients with glucocorticoid prescriptions was very similar to that found by Salazar et al. in two high-complexity institutions in Colombia (81.3%) [17] and by Smoyer et al. in the USA (72.7%) [12] but was higher than that found in the EuroMyositis Registry (31.6%) [9] and in the last consultation of the Myopathies Registry of the Community of Madrid (REMICAM Cohort) (56.6%) [14]. Among the conventional DMARDs, azathioprine and methotrexate were the most commonly used, which is consistent with other reports [9, 1418, 22]. Among the biological DMARDs, rituximab was the most commonly used, which is also consistent with the literature [9, 12, 14, 17, 18, 22]. On the other hand, among the immunosuppressants, a predominance of mycophenolate mofetil was found, which is consistent with findings in India [22] and the USA [12] but not with findings in other countries, where cyclophosphamide prevailed [14, 15, 17, 18]. The differences in drug use patterns may be due to the characteristics of health systems, the accessibility and availability of drugs in each country, the management guidelines followed, the preferences of the prescriber, the marketing strategies of the pharmaceutical industry, the disease severity and complications, the type of myopathy, the disease course, and the patient tolerability to these drugs [6, 11, 24].

In general, most patients with autoimmune IIMs were treated with the medications indicated by guidelines [36, 10], but notably, the management of IIMs is challenging due to the heterogeneous behavior of the different entities and the absence of multidisciplinary and comprehensive management guidelines [3, 6] and evidence-based recommendations for the management of patients with extramuscular conditions, comorbidities, and severe manifestations [6]. In this study, differences were found in the pattern of drug use according to the type of autoimmune IIM, which is consistent with other reports [9, 17, 22]. The predominance of different therapeutic groups among patients with overlap myositis is notable, as described in Spain, where Nuño-Nuño et al. found that these patients had more prescriptions for glucocorticoids, methotrexate, mycophenolate, and cyclophosphamide than those who diagnosed with dermatomyositis or polymyositis [14]. In China, Xiao et al. found sociodemographic, clinical, and paraclinical differences between these patients, but their pharmacological treatments were not evaluated [25]. The greater use of medications in this group of patients is due to the concomitant presence of other connective tissue diseases [14, 15, 21, 26, 27]. On the other hand, patients with inclusion body myositis do not usually respond to the therapies recommended for other autoimmune IIMs [35, 10]. However, these cases could not be identified due to the methodological limitations of our study.

Drug prescriptions were not homogeneous with respect to certain sociodemographic variables. Prednisolone/prednisone and conventional DMARDs prevailed among women. Such differences between sexes have also been documented in studies involving other rheumatological diseases [11, 28, 29]. Thus, among patients with systemic lupus erythematosus, glucocorticoids, immunosuppressants, chloroquine, and azathioprine predominate for men [11]. In patients with axial spondyloarthropathies, prednisone and conventional DMARDs prevail for women [28], and among patients with ankylosing spondylitis, glucocorticoids and methotrexate predominate for women, while biological DMARDs predominate for men [29]. These differences in treatment, rather than being due to health inequalities due to sex, are better explained by genetic and hormonal differences between men and women, the greater burden of autoimmune morbidity in women—which affects the degree of activity, the progression, the severity, and the prognosis of rheumatological diseases—and the effectiveness of pharmacological therapy [11, 2830].

In general, treatment with conventional DMARDs strongly predominated among older adults, which differs from observations in patients with systemic lupus erythematosus, where pharmacological therapy with conventional DMARDs, glucocorticoids, and immunosuppressants has decreased with increasing age [11], while in patients with rheumatoid arthritis, treatment with glucocorticoids was similar between all age groups, and biological DMARDs were more likely to be used by younger patients [31]. Differences were also found in pharmacological management according to whether the patients lived in a capital city or municipality. In the USA, Deodhar et al. found that variations among patients with ankylosing spondylitis depend on the geographic region of care [32]. Similarly, in Colombia, other pharmacoepidemiological studies involving antirheumatic drugs and other therapeutic groups have shown differences in the pattern of prescription to patients [11, 13], which might be due to differences in access to the health system, resource availability, and quality of care [33].

Most patients were affiliated with the contributory regimen, which is consistent with an earlier study in Colombia [8]. In this report, some differences were found in the management received according to the type of health system regime affiliation, which is in line with a USA study, where the databases of three health insurance policies were compared (commercial and Medicare patients vs. Medicaid patients), revealing that in general, commercial and Medicare patients received more medications, especially systemic glucocorticoids and methotrexate, than Medicaid patients [12]. In addition, among patients with psoriatic arthritis and ankylosing spondylitis under the same health policy, greater use of conventional and biological DMARDs was found for Medicare patients [34]. Similarly, in Argentina, in patients with systemic lupus erythematosus, the authors found that cyclophosphamide was significantly more commonly used in the public sector than in the private sector [35].

Some limitations might complicate interpretation of our results since access to the clinical histories was not available to verify the patients’ ethnicities, their clinical characteristics, the characterization of the type of inflammatory myopathy, its complications, its severity, disease activity, and paraclinical variables (creatine phosphokinase, antibodies, electromyography, nerve conduction velocity, images, and muscle biopsy, among others). Similarly, the medications prescribed outside the health system or not delivered by the dispensing company that the patients may have received are unknown. One strength is that this study enrolled many cases, which were distributed throughout most of the national territory, involving both the contributory and subsidized health systems of Colombia.

With these findings, we can conclude that patients with autoimmune IIMs are not treated homogeneously: the pattern of drug use varies by the type of inflammatory myopathy, by sex, by age group, by capital city versus municipality, and by system regime affiliation. Importantly, current management guidelines that include pharmacological treatment and optimal physical rehabilitation should be standardized to improve the prognosis and quality of life of IIM patients. The absence of standardized management guidelines for autoimmune myopathies impedes heterogeneous management of a pharmacological type, resulting in a lack of therapeutic adherence due to the implementation of management that can be applied for only a short time or empirically, drug changes without a comprehensive evaluation to identify an adequate clinical response, and a greater possibility of adverse drug reactions.

Additional Points

Author Responsibility. The corresponding author had full access to all data in the study and final responsibility. Significance and Innovations. Patients with autoimmune idiopathic inflammatory myopathies are not treated homogeneously. The pattern of drug use varies by the type of inflammatory myopathy, by sex, by age group, by capital city versus municipality, and by system regime affiliation. Current management guidelines that include pharmacological treatment and optimal physical rehabilitation should be standardized to improve patient prognosis and quality of life.

Conflicts of Interest

The authors declare no conflicts of interest.

Authors’ Contributions

LFVR participated in drafting the manuscript, data collection, data analysis, description of the results, and the discussion. ACDA was responsible for the formal analysis, investigation, and data curation. BSAC was responsible for the formal analysis, investigation, and data curation. LMSR was responsible for the methodology, formal analysis, investigation, and data curation. JEMA participated in drafting the manuscript, data analysis, description of the results, the discussion, critical revision of the article, and evaluation of the final version of the manuscript.

Acknowledgments

We thank Soffy Claritza López for her work in obtaining the database.

    Data Availability

    Data are available at https://doi.org/10.17504/protocols.io.b4xtqxnn.

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