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Inicio Revista Colombiana de Reumatología Consistency between anticholinergic burden scales in patients with Sjögren's sy...
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Vol. 27. Núm. S2.
Monográfico de Síndrome de Sjögren
Páginas 50-57 (octubre 2020)
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Vol. 27. Núm. S2.
Monográfico de Síndrome de Sjögren
Páginas 50-57 (octubre 2020)
Original Investigation
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Consistency between anticholinergic burden scales in patients with Sjögren's syndrome
Consistencia entre escalas de carga anticolinérgica en pacientes con síndrome de Sjögren
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Luis Fernando Valladales-Restrepoa,b, Jorge Enrique Machado-Albaa,
Autor para correspondencia
machado@utp.edu.co

Corresponding author.
a Pharmacoepidemiology and Pharmacovigilance Research Group, Universidad Tecnológica de Pereira-Audifarma S.A, Pereira, Risaralda, Colombia
b Biomedical Research Group, School of Medicine, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia
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Tablas (4)
Table 1. Pharmacological management of patients diagnosed with Sjögren's syndrome, Colombia.
Table 2. Principal antimuscarinic drugs identified with the ADS, ACB and ARS scales in patients diagnosed with Sjögren's syndrome, Colombia.
Table 3. Comparison of some sociodemographic, clinical and pharmacological variables by age group in patients diagnosed with Sjögren's syndrome, Colombia.
Table 4. Analysis of the consistency between the ADS, ACB and ARS scales in patients diagnosed with Sjögren's syndrome, Colombia.
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Material adicional (1)
Abstract
Introduction

Sjögren's syndrome is the second most frequent autoimmune rheumatic disease and is characterized by exocrine gland involvement manifesting as sicca symptoms. The objective of this study was to estimate the degree of agreement between three anticholinergic burden scales related to the prescriptions of patients diagnosed with Sjögren's syndrome in Colombia.

Materials and methods

An analytical concordance study was conducted. The weighted kappa coefficient with quadratic weights was used to identify consistency between the Anticholinergic Drug Scale (ADS), Anticholinergic Cognitive Burden Scale (ACB) and Anticholinergic Risk Scale (ARS), which address the prescriptions used for 3 months by patients with Sjögren's syndrome, in a population database.

Results

A total of 15,696 patients with Sjögren's syndrome were identified, with a mean age of 65.4±13.9 years, and 74.2% were women. A total of 94.1% of the patients received at least one topical lubricant, with carboxymethyl cellulose being the most commonly prescribed (22.9%), while oral pilocarpine was prescribed to 3.5% of patients. The ACB was the tool identified more antimuscarinic prescriptions (37.5%), followed by the ADS (35.3%) and ARS (25.2%). The greatest degree of agreement was found between the ADS and ACB (kappa 0.6520; confidence interval (CI): 0.6393–0.6648).

Conclusions

Except for the ADS and ACB, little agreement was found between the three scales gauging the anticholinergic burden. Additional studies are needed to determine how these differences can impact the clinical outcomes of patients.

Keywords:
Sjögren's Syndrome
Pilocarpine
Cholinergic antagonists
Drug interactions
Pharmacovigilance
Resumen
Introducción

El síndrome de Sjögren es la segunda enfermedad reumática autoinmune más frecuente, caracterizada especialmente por el compromiso de glándulas exocrinas manifestándose con síntomas sicca. El objetivo fue estimar el grado de acuerdo de 3 escalas de carga anticolinérgica en las prescripciones de pacientes con diagnóstico de síndrome de Sjögren en Colombia.

Materiales y métodos

Estudio analítico de concordancia. Se empleó el coeficiente Kappa con ponderación cuadrática para identificar la consistencia entre los instrumentos Anticholinergic Drug Scale (ADS), Anticholinergic Cognitive Burden Scale (ACB) y Anticholinergic Risk Scale (ARS) de las prescripciones utilizadas durante 3 meses por pacientes con síndrome de Sjögren, a partir de una base de datos poblacional.

Resultados

Se identificaron 15.696 pacientes con síndrome de Sjögren, con una edad media de 65,4±13,9 años y el 74,2% de mujeres. El 94,1% recibieron por lo menos un lubricante tópico siendo el más prescrito la carboximetilcelulosa (22,9%), mientras que la pilocarpina oral se formuló en el 3,5% de ellos. La escala ACB fue la herramienta que más prescripciones anti-muscarínicas identificó (37,5%) seguida de la ADS (35,3%) y ARS (25,2%). El mayor grado de acuerdo se presentó entre las escalas ADS-ACB (Kappa: 0,6520; IC: 0,6393-0,6648).

Conclusiones

Con excepción de las escalas ADS-ACB, hubo poco acuerdo al comparar las 3 escalas de carga anticolinérgica. Se requieren estudios adicionales para determinar cómo estas diferencias pueden impactar en la validez de los desenlaces clínicos de los pacientes.

Palabras clave:
Síndrome de Sjögren
Pilocarpina
Antagonistas colinérgicos
Interacciones medicamentosas
Farmacovigilancia
Texto completo
Introduction

Sjögren's syndrome is the second most common autoimmune rheumatic disease and is characterized by lymphocytic infiltration of the exocrine glands, causing their dysfunction and destruction, especially the salivary and tear glands, thus leading to dry mouth and dry eyes, which are known as sicca symptoms.1–3 Sjögren's syndrome is a systemic disease that can compromise the musculoskeletal, peripheral and/or central nervous, cardiovascular, circulatory, respiratory, renal and gastrointestinal systems, among others, in 50–60% of patients.1,2,4

The general prevalence of Sjögren's syndrome is estimated to range from 0.3 to 1 per 1000 people,5 females are more often affected, with a female:male ratio of 9 to 1, and the maximum incidence is observed among individuals aged from 40 to 55 years.3,5,6 In Colombia, the prevalence is 0.12% among patients over 18 years old, with a female:male ratio of 4.6:1, and the age group with the highest prevalence is that to 65–69 years (0.5%).7 In another study, in 6 cities in the country, the prevalence was 0.08% (95%CI: 0.02–0.27).8

Treatments for sicca symptoms include moisturizers, eye lubricants, ophthalmic cyclosporine, artificial saliva and muscarinic agonists such as pilocarpine, as well as nonpharmacological measures.9–11 Inadequate management of dry eye can lead to complications such as surface wear, corneal perforation, conjunctivitis, keratitis and vision loss, while dry mouth can produce dysphagia, speech difficulties, an atrophic or fissured tongue, ulcers, stomatitis, oral candida and dental caries, resulting in quality of life deterioration and disability.1–3

Sicca symptoms can be exacerbated by numerous medications, especially diuretics, antidepressants, neuroleptics, muscle relaxants, hypnotics, opioids, benzodiazepines, antihistamines and antispasmodics, among others,1,3,4,6 and many of these medications have antimuscarinic properties that contribute to the anticholinergic burden of patients. The anticholinergic burden is defined as the cumulative effect of taking one or more drugs capable of producing adverse antimuscarinic reactions,12,13 which can include dryness of the skin and mucous membranes, constipation, urinary retention, mydriasis, delirium, cognitive deterioration and sedation, among others.12,14,15 Scales developed to quantify the anticholinergic burden use equations and medication lists to classify and assign points according to the medications’ antimuscarinic activity.12,13,16

These tools present variations due to the different methodologies used for their preparation and validation, which may influence patient outcomes.12,13,17 In a systematic review in 2015, the ACB (Anticholinergic Cognitive Burden Scale), ARS (Anticholinergic Risk Scale) and ADS (Anticholinergic Drug Scale) were identified as the most validated instruments13; however, no standardized quantification scale is available.13,16

Concordance studies use different designs to evaluate the degree of agreement between two or more observers or between different methods, techniques or instruments on the same observed phenomenon. If one technique or instrument is considered the “gold standard”, then the resulting concordance will be considered a measure of conformity. However, if no techniques or instruments are considered “gold standards” or references, then any concordance identified will serve as a measure of consistency.18,19 Because no “gold standard” is available to quantify the anticholinergic burden or for comparison with other tools, this is a study of consistency. Some studies have shown that the anticholinergic burden increases the risk of mucosal dryness20,21; therefore, the objectives of the study were to use the three most validated anticholinergic burden scales to assess the prescriptions of patients with Sjögren's syndrome and to determine the degree of agreement between these scales, in addition, to characterize some of their sociodemographic, clinical, and pharmacological variables.

Materials and methods

An analytical study of consistency was performed with three anticholinergic burden scales and the drugs currently used by patients diagnosed with Sjögren's syndrome according to a population database. This database collects information from approximately 8.5 million people affiliated with Colombia's Health System, including six health insurance companies, corresponding to approximately 30.0% of the active affiliate population of the contributing regime and 6.0% of patients registered with the state-subsidized health insurance regime in the country, representing 16.3% of the Colombian population.

The identification of the patients was made through the diagnosis of Sjögren's syndrome from the 1st of July to the 30th of September 2019. The diagnosis was identified using the International Statistical Classification of Diseases and Related Health Problems (ICD-10), where M35.0 is the code for sicca (Sjögren) syndrome. Male and female patients older than 14 years of age who attended outpatient consultations were included. We analyzed the prescriptions of patients diagnosed with Sjögren's syndrome who were receiving drugs with anticholinergic properties using the ADS, ACB and ARS.

Based on information regarding medication consumption among the affiliated population, which was systematically collected by the dispensing company (Audifarma S.A.), a database was designed to allow collection of the following groups of patient variables:

  • 1.

    Sociodemographic variables: sex, age and city of care.

  • 2.

    Chronic comorbidities, which were identified from primary and secondary diagnoses coded according to the ICD-10 during the same study period, were grouped into four categories: none, 1–2, 3–4 and 5 or more pathologies; the following groups of diseases were considered.

    • Cardiovascular diseases: hypertension, ischemic cardiomyopathy, arrhythmias, heart failure and valvulopathies.

    • Endocrine diseases: diabetes mellitus, hypothyroidism, dyslipidemia, obesity and hyperthyroidism.

    • Rheumatologic diseases: osteoarthrosis, rheumatoid arthritis, osteoporosis, fibromyalgia, systemic lupus erythematosus, vasculitis, systemic sclerosis, ankylosing spondylitis, polymyalgia rheumatica, amyloidosis, scleroderma and inflammatory myopathy.

    • Renal diseases: chronic kidney disease.

    • Psychiatric diseases: depression, anxiety, bipolar affective disorder, sleep disorders and schizophrenia.

    • Neurologic diseases: peripheral neuropathies, dementia, migraine, epilepsy, Parkinson's disease, stroke and mental retardation.

    • Digestive diseases: gastritis, gastroesophageal reflux, constipation, fecal incontinence, cirrhosis, peptic ulcer and ulcerative colitis.

    • Respiratory: chronic obstructive pulmonary disease and asthma.

  • 3.

    Pharmacological management variables:

    • Medications used for symptomatic management of xerostomia/xerophthalmia:

    • Local: artificial tears (carboxymethyl cellulose, hyaluronate, hydroxypropyl methyl cellulose, chondroitin, polyethylene glycol, propylene glycol, glycerin and polyacrylic acid), ophthalmic cyclosporine and artificial saliva.

    • Systemic: oral pilocarpine.

    • Synthetic disease-modifying antirheumatic drugs: methotrexate, sulfasalazine, chloroquine, hydroxychloroquine, azathioprine and leflunomide.

    • Biological disease-modifying antirheumatic drugs: rituximab, abatacept, etanercept, infliximab, tocilizumab, certolizumab, golimumab and adalimumab.

  • 4.

    Anticholinergic drugs: A search was conducted for 88 of the 117 drugs included in the ADS, 64 of the 88 drugs included in the ACB and 43 of the 49 included in the ARS that are marketed in Colombia according to the Instituto Nacional de Vigilancia de Medicamentos y Alimentos (INVIMA, Colombia's National Food and Drug Surveillance Institute). The total anticholinergic burden was determined by the sum of the risk of each of the prescribed medications. Accordingly, the patients were classified into four groups: 1. Patients with a score of 0 (no anticholinergic activity); 2. Patients with a score of 1 (mild anticholinergic activity); 3. Patients with a score of 2 (moderate anticholinergic activity); and 4. Patients with a score ≥ 3 (high anticholinergic activity).

The protocol was approved by the Bioethics Committee of the Universidad Tecnológica de Pereira in the risk-free research category. The ethical principles established by the Declaration of Helsinki were respected. Patients’ personal data were not considered.

The data were analyzed with the statistical package SPSS Statistics, version 24.0 for Windows (IBM, USA). A descriptive analysis was performed in which frequencies and proportions were used to describe qualitative variables, while measures of central tendency and dispersion were used for quantitative variables. Quantitative variables were compared using Student's t test or ANOVA, and the X2 test was used for categorical variables. Binary logistic regression models were established using the consumption of drugs with an anticholinergic burden (1 or more points, according to the ADS, ACB and ARS) as the dependent variable, and variables that were significantly associated with these drugs in bivariate analyses as covariables. p<0.05 was set as the level of statistical significance.

Using the Epidat software version 4.2 of 2016, the concordance analysis was performed between the ADS, ARS and ACB using the weighted kappa coefficient with quadratic weights and a confidence interval (CI) of 95%. To classify the results, the scale described by Landis and Koch was used as follows: weak agreement, 0–0.2; mild agreement, 0.2–0.4; moderate agreement, 0.4–0.6; substantial or high agreement, 0.6–0.8; and almost perfect agreement, 0.8–1.22

Results

A total of 15,696 patients diagnosed with Sjögren's syndrome and distributed among 99 different cities were identified. The mean age was 65.4±13.9 years (range: 14.08–104.83 years), and 74.2% (n=11,641) of the patients were women. The female:male ratio in the study population was 2.9:1. A total of 94.1% (n=14,765) of the patients were receiving pharmacological treatment for Sjögren's syndrome, with carboxymethylcellulose (n=3594, 22.9%) being the most prescribed eye lubricant, while oral pilocarpine was prescribed to 3.5% (n=544) of patients. The use of synthetic disease-modifying antirheumatic drugs was identified in 8.3% (n=1299) of the patients, while the use of biological drugs was identified in 0.3% (n=46) of the patients (Table 1).

Table 1.

Pharmacological management of patients diagnosed with Sjögren's syndrome, Colombia.

Pharmacotherapy  Frequencyn=15,696 
Symptomatic  14,765  94.1 
Lubricants and ocular humectants  14,509  92.4 
Carboxymethylcellulose  3594  22.9 
Hyaluronate  3575  22.8 
Chondroitin+hyaluronate  2915  18.6 
Polyacrylic acid  2104  13.4 
Polyethylene glycol+propylene glycol  1560  9.9 
Carboxymethylcellulose+glycerin+hyaluronate  1315  8.4 
Carboxymethylcellulose+glycerin  895  5.7 
Hydroxypropylmethylcellulose  402  2.6 
Polyethylene glycol+propylene glycol+hyaluronate  101  0.6 
Hydroxypropylmethylcellulose+dextran  12  0.1 
Carboxymethylcellulose+glycerin+polysorbate  0.1 
Oral pilocarpine  544  3.5 
Cyclosporine ophthalmic  229  1.5 
Artificial saliva  31  0.2 
Synthetic disease-modifying antirheumatic drugs  1299  8.3 
Methotrexate  589  3.8 
Chloroquine  458  2.9 
Leflunomide  251  1.6 
Sulfasalazine  187  1.2 
Azathioprine  169  1.1 
Hydroxychloroquine  101  0.6 
Biologic disease-modifying antirheumatic drugs  46  0.3 
Abatacept  11  0.1 
Etanercept  11  0.1 
Adalimumab  0.1 
Certolizumab  0.1 
Tocilizumab  0.0 
Golimimab  0.0 
Oral corticosteroid  865  5.5 
Prednisolone  723  4.6 
Deflazacort  71  0.5 
Prednisone  70  0.4 
Methylprednisolone  21  0.1 
Anticholinergic burden

The scale that identified the highest proportion of patients with antimuscarinic prescriptions was the ACB (n=5886, 37.5%; 46 different medications), followed by the ADS (n=5546, 35.3%; 59 different medications) and the ARS (n=3959, 25.2%; 29 different medications). The drug most frequently identified by the ACB was metoprolol (n=1436, 9.1%), the ADS most frequently identified furosemide (n=1061, 6.8%), and the ARS most frequently identified methocarbamol (n=965, 6.1%) (Table 2).

Table 2.

Principal antimuscarinic drugs identified with the ADS, ACB and ARS scales in patients diagnosed with Sjögren's syndrome, Colombia.

Drugs  Anticholinergic load  Frequency n=15,696 
ACB (n=46)  –  5886  37.5 
Metoprolol  1436  9.1 
Furosemide  1061  6.8 
Prednisolone  723  4.6 
Codeine  676  4.3 
Trazodone  629  4.0 
Chlorpheniramine  513  3.3 
Ranitidine  465  3.0 
Nifedipine  395  2.5 
Dimenhydrinate  307  2.0 
Imipramine  306  1.9 
ADS (n=59)  –  5546  35.3 
Furosemide  1061  6.8 
Prednisolone  723  4.6 
Codeine  676  4.3 
Chlorpheniramine  513  3.3 
Sertraline  469  3.0 
Ranitidine  465  3.0 
Dexamethasone  458  2.9 
Nifedipine  395  2.5 
Dimenhydrinate  307  2.0 
Imipramine  306  1.9 
ARS (n=29)  –  3959  25.2 
Methocarbamol  965  6.1 
Loratadine  673  4.3 
Trazodone  629  4.0 
Chlorpheniramine  513  3.3 
Ranitidine  465  3.0 
Imipramine  306  1.9 
Amitriptyline  243  1.5 
Metoclopramide  214  1.4 
Quetiapine  200  1.3 
Loperamide  120  0.8 

ACB: Anticholinergic Cognitive Burden Scale; ADS: Anticholinergic Drug Scale; ARS: Anticholinergic Risk Scale.

Comorbidities

The most frequently identified comorbidities were hypertension (n=6243, 39.8%), diabetes mellitus (n=1965, 12.5%), glaucoma (n=1774, 11.3%), hypothyroidism (n=1206, 7.7%), chronic kidney disease (n=1028, 6.5%), dyslipidemia (n=682, 4.3%), osteoarthritis (n=602, 3.8%), rheumatoid arthritis (n=579, 3.7%), benign prostatic hyperplasia (n=442, 2.8%) and depression (n=403, 2.6%). Among the patients, 71.5% (n=11,225) had chronic comorbidities, with cardiovascular (n=6445, 41.1%), endocrine (n=3701, 23.6%) and rheumatologic (n=1841, 11, 7%) diseases being the most frequent pathologies. A total of 57.6% (n=9036) of the patients had 1–2 comorbidities, 12.5% (n=1958) had 3–4 comorbidities, and 1.5% (n=231) had 5 or more comorbidities.

Comparison between age groups

The use of topical lubricants or moisturizers by patients with Sjögren's syndrome did not show significant variations across the different age groups, while oral pilocarpine was predominately prescribed to patients between 40 and 64 years of age. Chronic comorbidities increased with increasing age. The ARS identified the lowest proportions of patients using antimuscarinic drugs in all age groups; the proportions identified using the ACB among patients aged 65 years and older were higher than those identified using the ADS, while the opposite results were found for patients younger than 65 years (Table 3).

Table 3.

Comparison of some sociodemographic, clinical and pharmacological variables by age group in patients diagnosed with Sjögren's syndrome, Colombia.

Variable  Total<40 years40–64 years65–74 years75–84 years≥85 years
  n=15,696  n=832  n=6319  n=4708  n=2795  n=1042 
Woman  11,641  74.2  575  69.1  4955  78.4  3475  73.8  1925  68.9  711  68.2 
Symptomatic treatment  14,765  94.1  785  94.4  5966  94.4  4433  94.2  2600  93.0  981  94.1 
Lubricants/humectants  14,509  92.4  768  92.3  5830  92.3  4367  92.8  2571  92.0  973  93.4 
Oral pilocarpine  544  3.5  23  2.8  314  5.0  146  3.1  53  1.9  0.8 
Cyclosporine ophthalmic  229  1.5  35  4.2  109  1.7  53  1.1  21  0.8  11  1.1 
Chronic comorbidities  11,225  71.5  268  32.2  3974  62.9  3691  78.4  2360  84.4  932  89.4 
Cardiovascular  6445  41.1  63  7.6  1903  30.1  2224  47.2  1611  57.6  644  61.8 
Endocrine  3701  23.6  64  7.7  1349  21.3  1378  29.3  695  24.9  215  20.6 
Rheumatologic  1841  11.7  69  8.3  857  13.6  542  11.5  283  10.1  90  8.6 
Renal  1028  6.5  13  1.6  164  2.6  339  7.2  359  12.8  153  14.7 
Psychiatric  766  4.9  33  4.0  337  5.3  203  4.3  127  4.5  66  6.3 
Anticholinergic load  –  –  –  –  –  –  –  –  –  –  –  – 
ACB1 point  5886  37.5  173  20.8  2005  31.7  1805  38.3  1335  47.8  568  54.5 
ACB1–2 points  3797  24.2  101  12.1  1257  19.9  1167  24.8  889  31.8  383  36.8 
ACB3 points  2089  13.3  72  8.7  748  11.8  638  13.6  446  16.0  185  17.8 
ADS1 point  5546  35.3  198  23.8  2059  32.6  1637  34.8  1151  41.2  501  48.1 
ADS1–2 points  3534  22.5  133  16.0  1295  20.5  1020  21.7  750  26.8  336  32.2 
ADS3 points  2012  12.8  65  7.8  764  12.1  617  13.1  401  14.3  165  15.8 
ARS1 point  3959  25.2  144  17.3  1538  24.3  1195  25.4  758  27.1  324  31.1 
ARS1–2 points  2491  15.9  85  10.2  937  14.8  744  15.8  491  17.6  234  22.5 
ARS3 points  1468  9.4  59  7.1  601  9.5  451  9.6  267  9.6  90  8.6 

ACB: Anticholinergic Cognitive Burden Scale; ADS: Anticholinergic Drug Scale; ARS: Anticholinergic Risk Scale.

Consistency analysis

The ADS and ACB showed the best degree of agreement (kappa 0.6520; 95%CI: 0.6393–0.6648), while comparisons involving the ARS yielded low consistencies (Table 4).

Table 4.

Analysis of the consistency between the ADS, ACB and ARS scales in patients diagnosed with Sjögren's syndrome, Colombia.

Scales  Kappa coefficient  Standard error  CI:95%p 
      Lower  Upper   
ADS-ACB  0.6520  0.0065  0.6393  0.6648  <0.001 
ACB-ARS  0.3063  0.0080  0.2907  0.3219  <0.001 
ARS-ADS  0.2746  0.0083  0.2583  0.2909  <0.001 

ACB: Anticholinergic Cognitive Burden Scale; ADS: Anticholinergic Drug Scale; ARS: Anticholinergic Risk Scale.

Multivariate analysis

The multivariate analysis revealed that female sex increased the probability of receiving anticholinergic medications (ADS: odds ratio (OR):1.26, 95%CI:1.16–1.37; ACB: OR:1.24, 95%CI:1.14–1.35; ARS: OR:1.31, 95%CI:1.19–1.44), as well as having 1–2 chronic comorbidities (ADS: OR:1.71, 95%CI:1.50–1.94; ACB: OR:1.88, 95%CI:1.65–2.15; ARS: OR:1.40, 95%CI:1.23–1.60) and 3–4 chronic comorbidities (ADS: OR:2.11, 95%CI:1.70–2.63; ACB: OR:2.35, 95%CI:1.89–2.93; ARS: OR:1.45, 95%CI:1.16–1.81). Among the comorbidities, psychiatric disorders were most associated with the risk of having antimuscarinic prescriptions on the three scales (ADS: OR:3.56, 95%CI:2.97–4.27; ACB: OR:3.84, 95%CI:3.19–4.62; ARS: OR:5.20, 95%CI:4.37–6.17). The OR was adjusted for sex, age, city and comorbidities (supplementary Tables 1–3).

Discussion

This study identified potentially inappropriate prescriptions of antimuscarinic drugs among patients diagnosed with Sjögren's syndrome using three different anticholinergic burden scales and determined the degree of agreement between the scales. The findings may be useful for caregivers, scholars and scientists with respect to clinical decision-making regarding potential harmful interactions and adverse drug reactions experienced by patients. In Colombia, the ADS has historically identified an anticholinergic burden of 39.1% among patients with Sjögren's syndrome.23

The ACB identified the highest amount of drugs with antimuscarinic properties (37.5%), followed by the ADS (35.3%) and the ARS (25.2%). These findings are similar to those reported in Finland by Tiisanoja et al. in patients with xerostomia, where antimuscarinic prescriptions were mostly identified by the ACB (33.7%), followed by the ADS (29.6%) and ARS (28.9%).17 Identifying these drugs is important because the number of adverse antimuscarinic reactions increases with a higher anticholinergic burden; however, no evidence indicates that the association is linear, and ultimately, a plateau most likely occurs when burden values become very high.12

In another study conducted in Finland, Tiisanoja et al. found that a score of 3 or higher on the ADS was a risk factor for developing xerostomia (risk ratio (RR): 3.17: 95%CI:1.44–6.96).20 Based on a list of drugs with anticholinergic properties, Rudolph et al. found that patients with a high anticholinergic burden had an increased risk (OR:1.9; 95% CI:1.50–2.50) of experiencing adverse peripheral effects (xerostomia, xerophthalmia and constipation).21 No studies relating ACB scores with an increased risk of mucosal dryness are available.

When comparing the three tools, the ADS and ACB showed the best agreement (0.65). In contrast, the degree of agreement between the ACB and ARS and between the ADS and ARS was low. Discrepancies between these scales may be related to how they were developed, the associated methodologies and validation measures, the number of drugs listed in each instrument, differences in the classification of the antimuscarinic potency of each drug and the inclusion of routes of administration other than oral or parenteral.21,24,25

No consistency studies comparing anticholinergic burden scales specifically among patients with Sjögren's syndrome have been identified. However, some studies have been conducted in different populations and clinical contexts.26–29 Naples et al. found the best agreement between the ADS and ACB (0.70) for seniors living at home in the USA.26 Pont et al. found the highest degree of agreement between the ADS and ACB (0.62) for nonhospitalized men in Australia,27 and Turró-Garriga et al. identified high concordance between the ADS and ACB (0.62) for patients with dementia in Spain.29 However, in other research conducted in Spain, Lertxundi et al. found the best agreement between the ACB and ARS (0.25) in patients hospitalized for psychiatric disorders.28 Possible explanations for this discrepancy may include differences in the characteristics of the population (community, hospitalized and specific population groups) and the inclusion of medications in the instruments that are not available in all countries.

Related to the above, the multivariate models used to find the variables that were related to anticholinergic load, calculated with the ADS, ACB and ARS scales, showed risk or protective associations that varied according to the tool used (see supplementary tables). These discrepancies were also evidenced in a study that compared the three anticholinergic burden scales, but in patients with vertebral and non-vertebral fractures.30

Anticholinergic drugs are necessary in the treatment of various pathologies, such as overactive bladder, urinary incontinence, chronic obstructive pulmonary disease, asthma, Parkinson's disease, psychotic disorders, mood disorders and allergic reactions.14 Anticholinergic burden scales are tools that help guide clinical decision-making, allowing clinicians to stop or change a drug with potent antimuscarinic activity in favor of another drug with little or no burden and thus guaranteeing greater safety and a lower probability of adverse reactions.14 In recent years, problems related to prescribing practices have attracted increasing interest, which has promoted the development of tools for more appropriate drug prescription practices, such as the Beers criteria31 and the STOPP (Screening Tool of Older Person's Prescriptions),32 which include anticholinergic medications.31,32

In this study, most patients received useful topical prescriptions for the management of sicca symptoms, which is consistent with the recommendations of different clinical practice guidelines.9–11 The use of oral pilocarpine (3.5%) differed from that found in other studies (20–31.7%).33,34 These differences are probably due to the prescribing habits of physicians, the availability or lack of such drugs in the health systems of various countries or the degree of xerostomia and xerophthalmia severity among patients included in the studies.

Some limitations related to the interpretation of the results should be noted. Clinical histories were not obtained to identify nonpharmacological management measures used by patients, the evolution of the disease was not considered, the classification of the disease as a primary or secondary diagnosis was not determined, and possible complications experienced by patients were not evaluated. Furthermore, whether some of the possible adverse effects actually occurred was not investigated. In addition, the diagnosis of sicca (Sjögren) syndrome found in the ICD-10 can be used in patients with symptoms secondary to adverse drug reactions as well as to chemotherapy or radiotherapy. On the other hand, as a specific limitation of cross-sectional studies, it was found that the different variables were collected at a certain point in time, therefore the anticholinergic load and the pharmacological treatment of patients with Sjogren's syndrome are distributed in a 3-month period and not throughout the course of the disease.

Conclusions

Based on the above findings, we found little agreement between the three scales gauging the anticholinergic burden, although greater consistency was found between the ADS and ACB. Therefore, additional studies are needed to determine how these differences may impact clinically relevant outcomes such as mucosal or skin dryness, among others. Most patients received topical treatments for Sjögren's syndrome according to clinical practice recommendations. These results should be useful to promote and strengthen educational and pharmacovigilance strategies that improve the prescription habits of physicians involved in the care of these patients.

Sources of funding

The present study did not receive funding.

Conflict of interest

The authors declare no conflict of interest.

Acknowledgments

The authors acknowledge Soffy Claritza López for her work in obtaining the database.

Appendix A
Supplementary data

The following are the supplementary data to this article:

References
[1]
I. Thorne, N. Sutcliffe.
Sjogren's syndrome.
Br J Hosp Med (Lond), 78 (2017), pp. 438-442
[2]
P. Brito-Zeron, C. Baldini, H. Bootsma, S.J. Bowman, R. Jonsson, X. Mariette, et al.
Sjogren syndrome.
Nat Rev Dis Primers, 2 (2016), pp. 16047
[3]
F.B. Vivino.
Sjogren's syndrome: clinical aspects.
Clin Immunol, 182 (2017), pp. 48-54
[4]
A.N. Baer, B. Walitt.
Sjogren syndrome and other causes of sicca in older adults.
Clin Geriatr Med, 33 (2017), pp. 87-103
[5]
X. Mariette, L.A. Criswell.
Primary Sjogren's syndrome.
N Engl J Med, 378 (2018), pp. 931-939
[6]
S.J. Bowman.
Primary Sjogren's syndrome.
[7]
D.G. Fernández-Ávila, D.N. Rincón-Riaño, S. Bernal-Macías, J.M. Gutiérrez Dávila, D. Rosselli.
Prevalencia y características demográficas del síndrome de Sjögren en Colombia, según información del Sistema Integral de Información de la Protección Social.
[8]
J. Londoño, I. Peláez-Ballestas, F. Cuervo, I. Angarita, R. Giraldo, J.C. Rueda, et al.
Prevalencia de la enfermedad reumática en Colombia, según estrategia COPCORD-Asociación Colombiana de Reumatología Estudio de prevalencia de enfermedad reumática en población colombiana mayor de 18 años.
Rev Colomb Reumatol, 25 (2018), pp. 245-256
[9]
D.T. Zero, M.T. Brennan, T.E. Daniels, A. Papas, C. Stewart, A. Pinto, et al.
Clinical practice guidelines for oral management of Sjogren disease: dental caries prevention.
J Am Dent Assoc, 147 (2016), pp. 295-305
[10]
G.N. Foulks, S.L. Forstot, P.C. Donshik, J.Z. Forstot, M.H. Goldstein, M.A. Lemp, et al.
Clinical guidelines for management of dry eye associated with Sjogren disease.
Ocul Surf, 13 (2015), pp. 118-132
[11]
E.J. Price, S. Rauz, A.R. Tappuni, N. Sutcliffe, K.L. Hackett, F. Barone, et al.
The British Society for Rheumatology guideline for the management of adults with primary Sjögren's Syndrome.
Rheumatology (Oxford), 56 (2017), pp. 1828
[12]
T. Mayer, W.E. Haefeli, H.M. Seidling.
Different methods, different results – how do available methods link a patient's anticholinergic load with adverse outcomes?.
Eur J Clin Pharmacol, 71 (2015), pp. 1299-1314
[13]
M.S. Salahudeen, S.B. Duffull, P.S. Nishtala.
Anticholinergic burden quantified by anticholinergic risk scales and adverse outcomes in older people: a systematic review.
BMC Geriatr, 15 (2015), pp. 31
[14]
P. Gerretsen, B.G. Pollock.
Drugs with anticholinergic properties: a current perspective on use and safety.
Expert Opin Drug Saf, 10 (2011), pp. 751-765
[15]
C. Fox, T. Smith, I. Maidment, W.Y. Chan, N. Bua, P.K. Myint, et al.
Effect of medications with anti-cholinergic properties on cognitive function, delirium, physical function and mortality: a systematic review.
Age Ageing, 43 (2014), pp. 604-615
[16]
A. Collamati, A.M. Martone, A. Poscia, V. Brandi, M. Celi, E. Marzetti, et al.
Anticholinergic drugs and negative outcomes in the older population: from biological plausibility to clinical evidence.
Aging Clin Exp Res, 28 (2016), pp. 25-35
[17]
A. Tiisanoja, A.H. Syrjala, A. Kullaa, P. Ylostalo.
Anticholinergic burden and dry mouth in middle-aged people.
JDR Clin Trans Res, 5 (2020), pp. 62-70
[18]
C.R. Édgar, R.R. Jorge Andrés, G.D. Hernando.
Métodos estadísticos de evaluación de la concordancia y la reproducibilidad de pruebas diagnósticas.
Rev Colomb Obstet Ginecol, 61 (2010), pp. 247-255
[19]
P.F. Watson, A. Petrie.
Method agreement analysis: a review of correct methodology.
Theriogenology, 73 (2010), pp. 1167-1179
[20]
A. Tiisanoja, A.M. Syrjala, K. Komulainen, P. Lampela, S. Hartikainen, H. Taipale, et al.
Anticholinergic burden and dry mouth among Finnish, community-dwelling older adults.
Gerodontology, 35 (2018), pp. 3-10
[21]
J.L. Rudolph, M.J. Salow, M.C. Angelini, R.E. McGlinchey.
The anticholinergic risk scale and anticholinergic adverse effects in older persons.
Arch Intern Med, 168 (2008), pp. 508-513
[22]
J.R. Landis, G.G. Koch.
The measurement of observer agreement for categorical data.
Biometrics, 33 (1977), pp. 159-174
[23]
L.F. Valladales-Restrepo, J.E. Machado-Alba.
Potentially inappropriate anticholinergic drug prescriptions for patients with Sjögren's syndrome.
J Transl Autoimmunity, 100007 (2019),
[24]
R.M. Carnahan, B.C. Lund, P.J. Perry, B.G. Pollock, K.R. Culp.
The Anticholinergic Drug Scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activity.
J Clin Pharmacol, 46 (2006), pp. 1481-1486
[25]
M. Boustani, N. Campbell, S. Munger, I. Maidment, C. Fox.
Impact of anticholinergics on the aging brain: a review and practical application.
Aging Health, 4 (2008), pp. 311-320
[26]
J.G. Naples, Z.A. Marcum, S. Perera, S.L. Gray, A.B. Newman, E.M. Simonsick, et al.
Concordance between anticholinergic burden scales.
J Am Geriatr Soc, 63 (2015), pp. 2120-2124
[27]
L.G. Pont, J.T. Nielen, A.J. McLachlan, D. Gnjidic, L. Chan, R.G. Cumming, et al.
Measuring anticholinergic drug exposure in older community-dwelling Australian men: a comparison of four different measures.
Br J Clin Pharmacol, 80 (2015), pp. 1169-1175
[28]
U. Lertxundi, S. Domingo-Echaburu, R. Hernández, J. Peral, J. Medrano.
Expert-based drug lists to measure anticholinergic burden: similar names, different results.
Psychogeriatrics, 13 (2013), pp. 17-24
[29]
O. Turro-Garriga, L. Calvo-Perxas, J. Vilalta-Franch, L. Blanco-Silvente, X. Castells, D. Capella, et al.
Measuring anticholinergic exposure in patients with dementia: a comparative study of nine anticholinergic risk scales.
Int J Geriatr Psychiatry, 33 (2018), pp. 710-717
[30]
L.F. Valladales-Restrepo, M. Duran-Lengua, E.E. Castro-Osorio, J.E. Machado-Alba.
Consistency between anticholinergic burden scales in the elderly with fractures.
PLOS ONE, 15 (2020), pp. e0228532
[31]
American Geriatrics Society 2019 Updated AGS Beers Criteria(R) for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2019;67:674–94. doi:10.1111/jgs.15767.
[32]
D. O’Mahony, D. O'Sullivan, S. Byrne, M.N. O’Connor, C. Ryan, P. Gallagher.
STOPP/START criteria for potentially inappropriate prescribing in older people: version 2.
Age Ageing, 44 (2015), pp. 213-218
[33]
H. Tsuboi, H. Asashima, C. Takai, S. Hagiwara, C. Hagiya, M. Yokosawa, et al.
Primary and secondary surveys on epidemiology of Sjogren's syndrome in Japan.
Mod Rheumatol, 24 (2014), pp. 464-470
[34]
M. Tsukamoto, K. Suzuki, T. Takeuchi.
Ten-year observation of patients with primary Sjogren's syndrome: Initial presenting characteristics and the associated outcomes.
Int J Rheum Dis, 22 (2019), pp. 929-933
Copyright © 2020. Asociación Colombiana de Reumatología
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