Abstract

Objective. The national registry of spondyloarthropathies (REGISPONSER) is launched to classify patients with this group of diseases treated in Spanish rheumatology clinics. This manuscript describes the methodological and organizational background as well as characteristics of patients finally included, and provides a comparative analysis between characteristics of both ankylosing spondylitis and undifferentiated spondyloarthropathy groups of patients.

Patients and methods. Twelve members of the GRESSER group have participated in the registry, for a one-year recruitment period. All consecutively registered adult patients treated in their clinics met the classification criteria of the European Spondyloarthropathies Study Group (ESSG). Data collected reflect the socio-demographic characteristics, as well as disease activity and functional status, clinical form at onset, treatment used and quality of life; all measured by standard instruments.

Results. Throughout 1 yr, 1385 patients have been included in the registry: 939 males (68%) and 440 females (32%), with an average age of 47 ± 13 years (mean ± s.d.), and an average disease duration of 12 ± 9 years. Diagnoses of the included patients were: AS (n = 842, 61%), PsA (n = 290, 21%), u-SpA (n = 205, 15%), reactive arthritis (n = 16, 1.2%), inflammatory bowel disease arthritis (n = 13, 0.9%) and JCA-spondyloathropathy (n = 13, 0.9%). Regarding clinical form, 54% had axial disease, 20% peripheral disease, 24% mixed disease and 0.6% isolated enthesitic form. Low-back pain was the first symptom reported in 53% of the patients, and most common extra-articular disease manifestations were psoriasis (25%), anterior uveitis (16%) and intestinal inflammatory disease (4%). Some kind of work disability was reported by 353 patients (25.5%).

Conclusions. Such databases are very useful to obtain information about characteristics of SpA patients treated in a certain location or following a specific treatment practice, and provide a tool for assessing the impact of the disease. Data collected in this registry provide an appropriate clinical and demographic profile of patients suffering from SpA in Spain.

Introduction

Spondyloarthropathies (SpA) are a heterogeneous group of inflammatory interrelated diseases involving peripheral joints and spine and sharing similar clinical, epidemiological, radiological and immunogenetic features. Ankylosing spondylitis (AS) is the prototype disease of this group; other clinical entities include reactive arthritis (ReA), arthritis and spondylitis associated with psoriasis (PsA) or inflammatory bowel disease (IBD) and undifferentiated spondyloarthropathies (u-SpA) [1]. SpA prevalence has not been definitely established, as epidemiologists have started focusing on this disease recently. Prevalence might be around 0.23–1.8% [2]. In Spain, there are no occurrence studies in the general population, but the National Study of Validation of SpA Classification Criteria [3] estimated a prevalence of 13% (range 8–16%) of patients with any SpA treated at rheumatology clinics. The prevalence of inflammatory low-back pain is 0.8% [95% confidence interval (CI): 0.6–1.0], as found in the EPISER study [4]. The clinical spectrum that defines patients with these diseases is very broad and includes four syndromes: (i) spinal, affecting sacroiliac joints and axial skeleton, (ii) peripheral arthritis, (iii) enthesitis and (iv) extra-skeletal, expressed with various degrees of intensity in different clinical entities.

Health care managers need reliable data from instruments to help them distribute and allocate health and social resources objectively and fairly. These instruments should be flexible and provide real-time data, and they should easily incorporate any changes in practice and scientific knowledge. Disease registries are more suitable for this task, as they provide real time data about frequency, geographic and temporary distribution, as well as disease pattern [5]. They inform about the case mix in different locations and provide an enlightening tool for assessing the impact of the disease and clinical practice variability. Furthermore, disease registries are an ideal source of random samples for cohort studies or case-control studies, the correct setting to test medical hypothesis [6]. There are many examples of large clinical databases in rheumatology [7], some of which also include genetic banks [8]. There are specific registries or databases such as those of paediatric rheumatic diseases [9], scleroderma [10] or rheumatoid arthritis [11] and psoriatic arthritis in North America [12]. There are also less specific registries, such as the National Databank of Rheumatic Diseases (NDBRD), developed in the USA [13] more than two decades ago, in which clinical information is compiled prospectively from many rheumatology clinics [14], or the National Database of German Arthritis Centres [6]. Clinical databases have been applied to evaluate surgical treatment outcomes [15] and monitor safety after the introduction of new expensive drugs [16, 17].

The experience with registries or large clinical databases in SpA is limited to a recently approved international registry of PsA [18] and a Finnish registry of twins with AS [19]. Our group aimed to design and develop an online registry of patients with SpA in our setting. The way to collect variables should be in agreement with major international working groups in SpA, namely ASAS, and simple enough so it can be feasible to adapt to clinical practice. The information collected should allow us to evaluate the SpA clinical pattern in our environment, and provide us with a representative population with SpA so as to draw random samples for future hypothesis-testing projects. The main aim of this project is to classify patients with SpA treated in Spanish rheumatology clinics. This manuscript describes a methodological and organizational background, general aims and uses and provides a description of patients finally included and a comparative analysis between characteristics of both AS and u-SpA groups of patients.

Patients and methods

In April 2004, the Spanish Spondyloarthropathies Study Group of the Spanish Society of Rheumatology (GRESSER) launched the National Spondyloarthropathies Registry (REGISPONSER). The registry is available through a computerized Internet database accessible to all participating members (http://biobadaser.ser.es/cgi-bin/regisponser/index.html). Twelve rheumatology departments from eight different cities were selected from those that have accepted to participate in the registry on the basis of the best availability to treat patients with spondyloarthritis. These centres represent a broad socio-demographic spectrum of the population treated by the Spanish Health System (Fig. 1). The average population covered by the participating hospitals is 800 000 (range 300 000–1 100 000), and includes urban and rural zones. All centres can be considered as a reference for rheumatic diseases in their area. All participating rheumatologists were required to include all patients registered consecutively that fulfilled the inclusion criteria up to a minimum of 100 patients per centre.

Geographic distribution of the participant centres.
Fig. 1.

Geographic distribution of the participant centres.

Patients

The inclusion criteria were: (i) fulfilment of the classification criteria from the European Spondyloarthropathy Study Group (ESSG) [20]; (ii) blood tests available within 15 days of the inclusion visit, and a complete radiographic study within the previous year and (iii) agreement to complete all self-administered questionnaires. Each patient has been assigned a random code in the database to avoid entering personal data in the database. The inclusion period was set at 12 months. All patients gave their consent to participate in the study, which was approved centrally by the Ethics Committee of the University Hospital ‘Reina Sofia’.

Data collection

In each centre, there was a rheumatologist, previously trained in a 2-day session, responsible for the patient's assessment and data entry in a centralized system of external monitoring to control inconsistencies or reliability of data collected and inclusion criteria. The socio-demographic information recorded was age, gender, employment-related variables and habits, especially regular exercise. An important batch of data was referred to the diagnosis: time (year) of the onset of SpA-specific signs and symptoms (inflammatory back pain, peripheral arthritis, extra-axial/extra-skeletal affectation), what specific signs and symptoms the patient had, when disease was diagnosed, how the patient responded to each ESSG criterion, what specific diagnosis the patient received (AS, u-SpA, PsA, IBD-associated arthritis or ReA), clinical form of the disease (axial, peripheral, enthesitic, extraarticular, or mixed) and whether the patient had family history of SpA. To ascertain the degree of the disease, the number of inflamed peripheral joints, the Maastricht Ankylosing Spondylitis Enthesis Score (MASES) [21], and the extra-articular disease manifestations were recorded by physical examination of the patient.

For the evaluation of the disease status, the following anthropometrical measures were used: occipital-to-wall distance, modified Schober's test, lateral flexion of lumbar spine, thoracic expansion, cervical rotation and finger-to-floor distance. We decided not to include the intermalleolar distance due to the difficulty in its measurement and to the high interobserver variability detected during the training session. As measures of disease status, we also included: night pain by a 0–10 visual analogue scale (VAS); physician and patient's global assessment of disease activity, also by a 0–10 VAS; the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) [22] and functional capacity as scored by the Bath Ankylosing Spondylitis Functional Index (BASFI) [23]. Damage was accrued by the radiological assessment valued by the Bath Ankylosing Spondylitis Radiology Index (BASRI) [24], both for spine and total (BASRI spine + BASRI hips). The existence of erosions, osteophytes and protrusions in hips, were also assessed. Quality of life was additionally evaluated by the specific questionnaire of quality of life to spondyloarthritis (ASQoL) [25], and by the generic SF-12 [26], in which higher values indicate a better quality of life. Lab tests included the erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and HLA B27 status. Current treatment including non-steroidal anti-inflammatory drugs (NSAIDs), corticoids, disease-modifying anti-rheumatic drugs (DMARDs) and biological therapies were also recorded The effectiveness of NSAIDs in relieving pain was defined as reduction of pain within 48 h after introducing them or rapid worsening within 48 h after discontinuing them. All data were collected in paper data forms, which were eventually entered into the online database, leaving the paper support available for monitoring.

Statistical analysis

The descriptive data are presented as a mean ± s.d. when referring to quantitative variables and as absolute frequencies and percentages when referring to the qualitative ones. Comparisons of continuous variables between groups were made by Student's t-test and categorical variables by chi-square test. We calculated correlation coefficient and intraclass correlation coefficient (ICC) with its corresponding 95% CI, considering that ICC values <0.5 represent poor or no agreement, values of 0.5–0.7 represent fair agreement and values >0.7 represent good agreement. Statistical analysis was performed using SPSS 11.0 (SPSS Inc. Chicago, IL, USA). A two-sided value of P < 0.05 was considered significant.

Results

The results referred to all patients included in the registry and classified according to their specific diagnosis

After 12 months (April 2004 to March 2005), 1385 patients were included in the registry. Of these, 1379 patients fulfilling ESSG criteria [27] were found acceptable for inclusion (six patients had been erroneously classified). Of these, 939 were males (68%) and 440 females (32%), with an average age of 48 ± 13 (range 12–88). The specific diagnoses were: AS in 842 patients (61.1%), PsA in 290 (21.0%), u-SpA in 205 (14.9%), ReA in 16 (1.2%), IBD-associated arthritis in 13 (0.9%) and juvenile SpA in 13 (0.9%). Most patients (n = 723, 52.4%) were employed fully at the time of inclusion, 119 (8.6%) were housewives and 498 (36.1%) were unemployed. As many as 351 (26.5%) presented some sort of life-long occupational disability, of whom 54 (3.9%) were temporarily disabled from working as from the day of inclusion, 60 (4.4%) were permanently, partially disabled (i.e. unable to perform heavy duty jobs), 76 (5.5%) were permanently, totally disabled (unable to perform usual tasks, but suited for others), 152 (11%) were totally disabled from work of any kind and 9 (0.7%) were absolutely disabled, which means that aid in daily life tasks is required.

Table 1 shows average values of age, disease duration (from diagnosis) and diagnosis delay for all included patients according to the diagnostic group. Also, time of evolution of the disease defined as time from early signs/symptoms attributable to the disease. The average age at disease onset was 29.5 ± 12 (range 4–80 yrs) for the patients as a whole, and 26.1, 39.9 and 30.1 yrs for AS, PsA and u-SpA, respectively. In 23.2% of the patients, the delay was under 1 yr, whereas in 20.6% it was over 10 yrs. The average age at diagnosis was 36 yrs and the average diagnosis delay was 6.5 yrs, with remarkable differences between diseases: 8 yrs for AS, 3.8 for PsA and 4.5 for u-SpA.

Table 1.

Characteristics of 1379 patients with spondyloarthropathies, by specific diagnosis

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Men, n (%)639 (76)166 (57)101 (49)13 (81)10 (77)10 (77)939 (68.1)
Age (years)48.5 ± 12.652.5 ± 13.841.2 ± 12.442.6 ± 8.942.8 ± 15.235.2 ± 17.448.0 ± 13.4
Age at diagnosis (years)34.0 ± 11.343.8 ± 14.134.6 ± 11.934.2 ± 9.933.8 ± 11.820.0 ± 7.536.0 ± 12.7
Age at onseta (years)26.1 ± 9.739.9 ± 14.430.1 ± 12.530.1 ± 9.929.9 ± 9.014.5 ± 6.229.5 ± 12.6
Time of evolutiona (years)22.5 ± 13.012.6 ± 9.811.2 ± 9.112.5 ± 9.112.9 ± 14.720.4 ± 16.918.5 ± 12.9
Disease duration (years)14.4 ± 10.38.7 ± 7.76.6 ± 6.18.4 ± 8.49.0 ± 12.014.2 ± 14.912.0 ± 9.9
Diagnosis delay (years)8.0 ± 9.03.8 ± 6.84.5 ± 6.93.5 ± 5.13.9 ± 8.86.2 ± 7.66.5 ± 8.4
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Men, n (%)639 (76)166 (57)101 (49)13 (81)10 (77)10 (77)939 (68.1)
Age (years)48.5 ± 12.652.5 ± 13.841.2 ± 12.442.6 ± 8.942.8 ± 15.235.2 ± 17.448.0 ± 13.4
Age at diagnosis (years)34.0 ± 11.343.8 ± 14.134.6 ± 11.934.2 ± 9.933.8 ± 11.820.0 ± 7.536.0 ± 12.7
Age at onseta (years)26.1 ± 9.739.9 ± 14.430.1 ± 12.530.1 ± 9.929.9 ± 9.014.5 ± 6.229.5 ± 12.6
Time of evolutiona (years)22.5 ± 13.012.6 ± 9.811.2 ± 9.112.5 ± 9.112.9 ± 14.720.4 ± 16.918.5 ± 12.9
Disease duration (years)14.4 ± 10.38.7 ± 7.76.6 ± 6.18.4 ± 8.49.0 ± 12.014.2 ± 14.912.0 ± 9.9
Diagnosis delay (years)8.0 ± 9.03.8 ± 6.84.5 ± 6.93.5 ± 5.13.9 ± 8.86.2 ± 7.66.5 ± 8.4

Results are expressed as a mean ± s.d. unless otherwise specified.

aFrom early signs/symptoms attributable to the disease.

Table 1.

Characteristics of 1379 patients with spondyloarthropathies, by specific diagnosis

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Men, n (%)639 (76)166 (57)101 (49)13 (81)10 (77)10 (77)939 (68.1)
Age (years)48.5 ± 12.652.5 ± 13.841.2 ± 12.442.6 ± 8.942.8 ± 15.235.2 ± 17.448.0 ± 13.4
Age at diagnosis (years)34.0 ± 11.343.8 ± 14.134.6 ± 11.934.2 ± 9.933.8 ± 11.820.0 ± 7.536.0 ± 12.7
Age at onseta (years)26.1 ± 9.739.9 ± 14.430.1 ± 12.530.1 ± 9.929.9 ± 9.014.5 ± 6.229.5 ± 12.6
Time of evolutiona (years)22.5 ± 13.012.6 ± 9.811.2 ± 9.112.5 ± 9.112.9 ± 14.720.4 ± 16.918.5 ± 12.9
Disease duration (years)14.4 ± 10.38.7 ± 7.76.6 ± 6.18.4 ± 8.49.0 ± 12.014.2 ± 14.912.0 ± 9.9
Diagnosis delay (years)8.0 ± 9.03.8 ± 6.84.5 ± 6.93.5 ± 5.13.9 ± 8.86.2 ± 7.66.5 ± 8.4
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Men, n (%)639 (76)166 (57)101 (49)13 (81)10 (77)10 (77)939 (68.1)
Age (years)48.5 ± 12.652.5 ± 13.841.2 ± 12.442.6 ± 8.942.8 ± 15.235.2 ± 17.448.0 ± 13.4
Age at diagnosis (years)34.0 ± 11.343.8 ± 14.134.6 ± 11.934.2 ± 9.933.8 ± 11.820.0 ± 7.536.0 ± 12.7
Age at onseta (years)26.1 ± 9.739.9 ± 14.430.1 ± 12.530.1 ± 9.929.9 ± 9.014.5 ± 6.229.5 ± 12.6
Time of evolutiona (years)22.5 ± 13.012.6 ± 9.811.2 ± 9.112.5 ± 9.112.9 ± 14.720.4 ± 16.918.5 ± 12.9
Disease duration (years)14.4 ± 10.38.7 ± 7.76.6 ± 6.18.4 ± 8.49.0 ± 12.014.2 ± 14.912.0 ± 9.9
Diagnosis delay (years)8.0 ± 9.03.8 ± 6.84.5 ± 6.93.5 ± 5.13.9 ± 8.86.2 ± 7.66.5 ± 8.4

Results are expressed as a mean ± s.d. unless otherwise specified.

aFrom early signs/symptoms attributable to the disease.

The percentage with disease onset in childhood (age <16 yrs) was 7.0%, whereas the percentage of late onset (age >40 yrs) was 18%. There was no difference in average age at disease onset between male (25.7 yrs) and female (26.9 yrs) AS patients. The earliest symptoms related to SpA were, in decreasing order: low-back pain (52.5%), lower limbs arthritis (27.4%), sacroiliac syndrome, defined as alternate or non-specific buttock pain (24.4%), upper limbs arthritis (16.1%), enthesitis (7.5%), neck pain (5.7%), coxitis (2.7%) and dactylitis (1.8%).

During the course of the disease, patients presented: inflammatory spinal pain (n = 1078; 78.2%), peripheral arthritis (n = 648; 47.0%), alternating buttock pain (n = 614; 44.5%) and enthesitis (n = 379; 27.5%). An episode of urethritis, cervicitis, or acute diarrhoea had occurred in 26 patients (1.9%) within the month prior to the development of arthritis.

The associated extra-articular manifestations were, in descending order: psoriasis (25%), anterior uveitis (16%), involvement IBD (4%), prostatitis (1.2%), heart disease (1.2%), lung disease (1.1%), renal disease (1.0%), balanitis (0.9%), palmoplantar pustulosis (0.8%), acne conglobata (0.6%) and neurological involvement (0.3%). A family history of SpA was present in 224 (16.2%) patients.

Table 2 illustrates the pattern of clinical expression and characteristics of the disease in patients as a whole and by diagnosis group. Regarding the clinical form of the disease, 53.5% of the patients had mainly axial disease, 20.4% had peripheral form, 24.3% had mixed form and only 0.7% of the patients had a predominantly enthesitic disease. Table 2 also summarizes metrological parameters.

Table 2.

Characteristics of 1379 patients with spondyloarthropathies at day of inclusion, by specific diagnosis

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Peripheral arthritis, n (%)92 (11)113 (39)30 (15)2 (12)2 (15)2 (15)241 (17.4)
Enthesitis, n (%)212 (25)41 (14)46 (22)3 (19)3 (23)6 (46)311 (22.6)
Uveitis, n (%)185 (22)4 (1)19 (9)2 (12)4 (31)3 (23)217 (15.8)
Clinical form (axial-mixed), n (%)829 (98)67 (23)156 (78)8 (50)7 (54)6 (46)1073 (77.8)
Sacroiliitis, n (%)
    Grade II141 (17)27 (19)59 (29)4 (25)1 (8)2 (15)234 (17.0)
    Grade III280 (33)21 (7)34 (17)2 (13)3 (23)2 (15)342 (24.8)
    Grade IV387 (46)13 (4)4 (2)3 (19)4 (31)4 (31)415 (30.1)
Chest expansion (cm)3.6 ± 2.13.9 ± 1.45.0 ± 2.24.2 ± 2.33.8 ± 2.13.4 ± 2.53.9 ± 2.1
Schober modified (cm)2.8 ± 1.84.0 ± 1.44.2 ± 1.63.5 ± 1.24.1 ± 2.33.5 ± 2.23.3 ± 1.8
Occiput-to-wall distance (cm)4.6 ± 6.01.1 ± 3.20.8 ± 2.31.7 ± 3.32.3 ± 5.02.5 ± 5.33.2 ± 5.4
Fingers-to-floor distance (cm)19.4 ± 14.514.2 ± 12.912.2 ± 12.315.1 ± 12.311.3 ± 13.214.9 ± 17.217.1 ± 14.2
Cervical rotation, n (%)
    20°–70°263 (31)43 (15)25 (12)3 (19)3 (23)3 (23)340 (24.7)
    <20°140 (17)14 (5)4 (2)2 (13)1 (8)1 (8)162 (11.7)
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Peripheral arthritis, n (%)92 (11)113 (39)30 (15)2 (12)2 (15)2 (15)241 (17.4)
Enthesitis, n (%)212 (25)41 (14)46 (22)3 (19)3 (23)6 (46)311 (22.6)
Uveitis, n (%)185 (22)4 (1)19 (9)2 (12)4 (31)3 (23)217 (15.8)
Clinical form (axial-mixed), n (%)829 (98)67 (23)156 (78)8 (50)7 (54)6 (46)1073 (77.8)
Sacroiliitis, n (%)
    Grade II141 (17)27 (19)59 (29)4 (25)1 (8)2 (15)234 (17.0)
    Grade III280 (33)21 (7)34 (17)2 (13)3 (23)2 (15)342 (24.8)
    Grade IV387 (46)13 (4)4 (2)3 (19)4 (31)4 (31)415 (30.1)
Chest expansion (cm)3.6 ± 2.13.9 ± 1.45.0 ± 2.24.2 ± 2.33.8 ± 2.13.4 ± 2.53.9 ± 2.1
Schober modified (cm)2.8 ± 1.84.0 ± 1.44.2 ± 1.63.5 ± 1.24.1 ± 2.33.5 ± 2.23.3 ± 1.8
Occiput-to-wall distance (cm)4.6 ± 6.01.1 ± 3.20.8 ± 2.31.7 ± 3.32.3 ± 5.02.5 ± 5.33.2 ± 5.4
Fingers-to-floor distance (cm)19.4 ± 14.514.2 ± 12.912.2 ± 12.315.1 ± 12.311.3 ± 13.214.9 ± 17.217.1 ± 14.2
Cervical rotation, n (%)
    20°–70°263 (31)43 (15)25 (12)3 (19)3 (23)3 (23)340 (24.7)
    <20°140 (17)14 (5)4 (2)2 (13)1 (8)1 (8)162 (11.7)

Results are expressed as a mean ± s.d. unless otherwise specified.

Table 2.

Characteristics of 1379 patients with spondyloarthropathies at day of inclusion, by specific diagnosis

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Peripheral arthritis, n (%)92 (11)113 (39)30 (15)2 (12)2 (15)2 (15)241 (17.4)
Enthesitis, n (%)212 (25)41 (14)46 (22)3 (19)3 (23)6 (46)311 (22.6)
Uveitis, n (%)185 (22)4 (1)19 (9)2 (12)4 (31)3 (23)217 (15.8)
Clinical form (axial-mixed), n (%)829 (98)67 (23)156 (78)8 (50)7 (54)6 (46)1073 (77.8)
Sacroiliitis, n (%)
    Grade II141 (17)27 (19)59 (29)4 (25)1 (8)2 (15)234 (17.0)
    Grade III280 (33)21 (7)34 (17)2 (13)3 (23)2 (15)342 (24.8)
    Grade IV387 (46)13 (4)4 (2)3 (19)4 (31)4 (31)415 (30.1)
Chest expansion (cm)3.6 ± 2.13.9 ± 1.45.0 ± 2.24.2 ± 2.33.8 ± 2.13.4 ± 2.53.9 ± 2.1
Schober modified (cm)2.8 ± 1.84.0 ± 1.44.2 ± 1.63.5 ± 1.24.1 ± 2.33.5 ± 2.23.3 ± 1.8
Occiput-to-wall distance (cm)4.6 ± 6.01.1 ± 3.20.8 ± 2.31.7 ± 3.32.3 ± 5.02.5 ± 5.33.2 ± 5.4
Fingers-to-floor distance (cm)19.4 ± 14.514.2 ± 12.912.2 ± 12.315.1 ± 12.311.3 ± 13.214.9 ± 17.217.1 ± 14.2
Cervical rotation, n (%)
    20°–70°263 (31)43 (15)25 (12)3 (19)3 (23)3 (23)340 (24.7)
    <20°140 (17)14 (5)4 (2)2 (13)1 (8)1 (8)162 (11.7)
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Peripheral arthritis, n (%)92 (11)113 (39)30 (15)2 (12)2 (15)2 (15)241 (17.4)
Enthesitis, n (%)212 (25)41 (14)46 (22)3 (19)3 (23)6 (46)311 (22.6)
Uveitis, n (%)185 (22)4 (1)19 (9)2 (12)4 (31)3 (23)217 (15.8)
Clinical form (axial-mixed), n (%)829 (98)67 (23)156 (78)8 (50)7 (54)6 (46)1073 (77.8)
Sacroiliitis, n (%)
    Grade II141 (17)27 (19)59 (29)4 (25)1 (8)2 (15)234 (17.0)
    Grade III280 (33)21 (7)34 (17)2 (13)3 (23)2 (15)342 (24.8)
    Grade IV387 (46)13 (4)4 (2)3 (19)4 (31)4 (31)415 (30.1)
Chest expansion (cm)3.6 ± 2.13.9 ± 1.45.0 ± 2.24.2 ± 2.33.8 ± 2.13.4 ± 2.53.9 ± 2.1
Schober modified (cm)2.8 ± 1.84.0 ± 1.44.2 ± 1.63.5 ± 1.24.1 ± 2.33.5 ± 2.23.3 ± 1.8
Occiput-to-wall distance (cm)4.6 ± 6.01.1 ± 3.20.8 ± 2.31.7 ± 3.32.3 ± 5.02.5 ± 5.33.2 ± 5.4
Fingers-to-floor distance (cm)19.4 ± 14.514.2 ± 12.912.2 ± 12.315.1 ± 12.311.3 ± 13.214.9 ± 17.217.1 ± 14.2
Cervical rotation, n (%)
    20°–70°263 (31)43 (15)25 (12)3 (19)3 (23)3 (23)340 (24.7)
    <20°140 (17)14 (5)4 (2)2 (13)1 (8)1 (8)162 (11.7)

Results are expressed as a mean ± s.d. unless otherwise specified.

Table 3 expresses data of disease activity. Most of the patients included in the registry showed elevated values of the CRP and ESR; in particular, patients with ReA and juvenile SpA exhibited higher values of CRP. The average high value of the nocturnal pain was prevalent in the AS patients, while the low value was common in the juvenile SpA. We observed that physicians assessed less thoroughly the activity of the disease across all patients included than patients did.

Table 3.

Characteristics of 1379 patients with spondyloarthropathies, by specific diagnosis.

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Nocturnal back pain (cm)4.0 ± 3.02.7 ± 3.03.7 ± 3.03.4 ± 3.42.6 ± 3.31.9 ± 2.73.6 ± 3.0
Patient Global Assessment (cm)4.6 ± 2.84.4 ± 2.84.3 ± 2.84.3 ± 3.03.5 ± 3.43.2 ± 2.14.5 ± 2.8
Physician Global Assessment (cm)3.1 ± 2.22.5 ± 2.02.8 ± 2.12.6 ± 2.62.1 ± 1.62.8 ± 2.42.9 ± 2.1
ESR (mm/h)18.7 ± 16.919.0 ± 15.416.7 ± 12.612.3 ± 10.323.0 ± 28.222.7 ± 24.718.5 ± 16.2
CRP (mg/dl)9.9 ± 16.88.1 ± 10.67.4 ± 14.925.2 ± 44.311.1 ± 10.023.0 ± 42.19.5 ± 16.6
HLA B27 positive, n (%)658/782 (84)36/164 (22)131/185 (71)9/14 (64)4/10 (40)11/12 (92)849/1167 (73)
Physical component SF1237.6 ± 7.638.2 ± 8.438.5 ± 7.743.0 ± 9.238.0 ± 8.040.5 ± 9.138.0 ± 7.8
Mental component SF-1250.6 ± 5.550.3 ± 6.249.9 ± 5.650.9 ± 6.448.8 ± 5.753.2 ± 5.150.4 ± 5.7
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Nocturnal back pain (cm)4.0 ± 3.02.7 ± 3.03.7 ± 3.03.4 ± 3.42.6 ± 3.31.9 ± 2.73.6 ± 3.0
Patient Global Assessment (cm)4.6 ± 2.84.4 ± 2.84.3 ± 2.84.3 ± 3.03.5 ± 3.43.2 ± 2.14.5 ± 2.8
Physician Global Assessment (cm)3.1 ± 2.22.5 ± 2.02.8 ± 2.12.6 ± 2.62.1 ± 1.62.8 ± 2.42.9 ± 2.1
ESR (mm/h)18.7 ± 16.919.0 ± 15.416.7 ± 12.612.3 ± 10.323.0 ± 28.222.7 ± 24.718.5 ± 16.2
CRP (mg/dl)9.9 ± 16.88.1 ± 10.67.4 ± 14.925.2 ± 44.311.1 ± 10.023.0 ± 42.19.5 ± 16.6
HLA B27 positive, n (%)658/782 (84)36/164 (22)131/185 (71)9/14 (64)4/10 (40)11/12 (92)849/1167 (73)
Physical component SF1237.6 ± 7.638.2 ± 8.438.5 ± 7.743.0 ± 9.238.0 ± 8.040.5 ± 9.138.0 ± 7.8
Mental component SF-1250.6 ± 5.550.3 ± 6.249.9 ± 5.650.9 ± 6.448.8 ± 5.753.2 ± 5.150.4 ± 5.7

Results are expressed as a mean ± s.d. unless otherwise specified. ESR, erythrocyte sedimentation rate; CRP, C-reactive protein.

Table 3.

Characteristics of 1379 patients with spondyloarthropathies, by specific diagnosis.

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Nocturnal back pain (cm)4.0 ± 3.02.7 ± 3.03.7 ± 3.03.4 ± 3.42.6 ± 3.31.9 ± 2.73.6 ± 3.0
Patient Global Assessment (cm)4.6 ± 2.84.4 ± 2.84.3 ± 2.84.3 ± 3.03.5 ± 3.43.2 ± 2.14.5 ± 2.8
Physician Global Assessment (cm)3.1 ± 2.22.5 ± 2.02.8 ± 2.12.6 ± 2.62.1 ± 1.62.8 ± 2.42.9 ± 2.1
ESR (mm/h)18.7 ± 16.919.0 ± 15.416.7 ± 12.612.3 ± 10.323.0 ± 28.222.7 ± 24.718.5 ± 16.2
CRP (mg/dl)9.9 ± 16.88.1 ± 10.67.4 ± 14.925.2 ± 44.311.1 ± 10.023.0 ± 42.19.5 ± 16.6
HLA B27 positive, n (%)658/782 (84)36/164 (22)131/185 (71)9/14 (64)4/10 (40)11/12 (92)849/1167 (73)
Physical component SF1237.6 ± 7.638.2 ± 8.438.5 ± 7.743.0 ± 9.238.0 ± 8.040.5 ± 9.138.0 ± 7.8
Mental component SF-1250.6 ± 5.550.3 ± 6.249.9 ± 5.650.9 ± 6.448.8 ± 5.753.2 ± 5.150.4 ± 5.7
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
Nocturnal back pain (cm)4.0 ± 3.02.7 ± 3.03.7 ± 3.03.4 ± 3.42.6 ± 3.31.9 ± 2.73.6 ± 3.0
Patient Global Assessment (cm)4.6 ± 2.84.4 ± 2.84.3 ± 2.84.3 ± 3.03.5 ± 3.43.2 ± 2.14.5 ± 2.8
Physician Global Assessment (cm)3.1 ± 2.22.5 ± 2.02.8 ± 2.12.6 ± 2.62.1 ± 1.62.8 ± 2.42.9 ± 2.1
ESR (mm/h)18.7 ± 16.919.0 ± 15.416.7 ± 12.612.3 ± 10.323.0 ± 28.222.7 ± 24.718.5 ± 16.2
CRP (mg/dl)9.9 ± 16.88.1 ± 10.67.4 ± 14.925.2 ± 44.311.1 ± 10.023.0 ± 42.19.5 ± 16.6
HLA B27 positive, n (%)658/782 (84)36/164 (22)131/185 (71)9/14 (64)4/10 (40)11/12 (92)849/1167 (73)
Physical component SF1237.6 ± 7.638.2 ± 8.438.5 ± 7.743.0 ± 9.238.0 ± 8.040.5 ± 9.138.0 ± 7.8
Mental component SF-1250.6 ± 5.550.3 ± 6.249.9 ± 5.650.9 ± 6.448.8 ± 5.753.2 ± 5.150.4 ± 5.7

Results are expressed as a mean ± s.d. unless otherwise specified. ESR, erythrocyte sedimentation rate; CRP, C-reactive protein.

In Table 4, we included different treatments patients received at the time of the inclusion visit. In the case of biologicals, current treatment was not only included, but also any other treatment previously administered. NSAIDs had a positive effectiveness in 860 (62.4%) of the patients, showing slight differences in response depending on the diagnosis: AS 526 (62.5%), PsA 174 (60.0%), u-SpA 139 (67.8%) and others 21 (50%). Less than half of the patients (n = 477; 34.6%) practised regularly some type of physical exercise.

Table 4.

Current treatment used by 1379 Spanish patients with SpA at day of inclusion.

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
NSAIDs584 (69)175 (60)141 (69)9 (56)4 (31)8 (62)921 (66.8)
Glucocorticoids51 (6)54 (19)26 (13)1 (6)2 (15)2 (15)136 (9.9)
Methotrexate56 (7)125 (43)23 (11)1 (6)05 (38)210 (15.2)
Sulphasalazine98 (12)24 (8)21 (10)1 (6)4 (31)2 (15)150 (10.9)
Leflunomide4 (0.5)13 (4)2 (1)1 (6)0020 (1.5)
Infliximaba115 (14)17 (6)10 (5)1 (6)4 (31)3 (23)150 (10.9)
Etanercepta24 (3)18 (6)2 (1)00044 (3.2)
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
NSAIDs584 (69)175 (60)141 (69)9 (56)4 (31)8 (62)921 (66.8)
Glucocorticoids51 (6)54 (19)26 (13)1 (6)2 (15)2 (15)136 (9.9)
Methotrexate56 (7)125 (43)23 (11)1 (6)05 (38)210 (15.2)
Sulphasalazine98 (12)24 (8)21 (10)1 (6)4 (31)2 (15)150 (10.9)
Leflunomide4 (0.5)13 (4)2 (1)1 (6)0020 (1.5)
Infliximaba115 (14)17 (6)10 (5)1 (6)4 (31)3 (23)150 (10.9)
Etanercepta24 (3)18 (6)2 (1)00044 (3.2)

Dates are expressed as n (%). NSAIDs, non-steroidal anti-inflammatory drugs.

aPreviously administered.

Table 4.

Current treatment used by 1379 Spanish patients with SpA at day of inclusion.

AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
NSAIDs584 (69)175 (60)141 (69)9 (56)4 (31)8 (62)921 (66.8)
Glucocorticoids51 (6)54 (19)26 (13)1 (6)2 (15)2 (15)136 (9.9)
Methotrexate56 (7)125 (43)23 (11)1 (6)05 (38)210 (15.2)
Sulphasalazine98 (12)24 (8)21 (10)1 (6)4 (31)2 (15)150 (10.9)
Leflunomide4 (0.5)13 (4)2 (1)1 (6)0020 (1.5)
Infliximaba115 (14)17 (6)10 (5)1 (6)4 (31)3 (23)150 (10.9)
Etanercepta24 (3)18 (6)2 (1)00044 (3.2)
AS (n = 842)PsA (n = 290)u-SpA (n = 205)ReA (n = 16)a-IBD (n = 13)Juvenile SpA (n = 13)Total (n = 1379)
NSAIDs584 (69)175 (60)141 (69)9 (56)4 (31)8 (62)921 (66.8)
Glucocorticoids51 (6)54 (19)26 (13)1 (6)2 (15)2 (15)136 (9.9)
Methotrexate56 (7)125 (43)23 (11)1 (6)05 (38)210 (15.2)
Sulphasalazine98 (12)24 (8)21 (10)1 (6)4 (31)2 (15)150 (10.9)
Leflunomide4 (0.5)13 (4)2 (1)1 (6)0020 (1.5)
Infliximaba115 (14)17 (6)10 (5)1 (6)4 (31)3 (23)150 (10.9)
Etanercepta24 (3)18 (6)2 (1)00044 (3.2)

Dates are expressed as n (%). NSAIDs, non-steroidal anti-inflammatory drugs.

aPreviously administered.

Comparison of AS and u-SpA patients

Clinical data

As we see in Tables 2 and 3, patients with AS had a smaller value in the Schober's test, a smaller mobility of the cervical lateral rotation, a greater fingers-to-floor and occiput-to-wall distance, a higher degree of pain in the VAS and the global assessment of the disease by the physician than the group of patients with u-SpA, who presented better values with respect to the thoracic expansion.

Demographic data

Figure 2 presents the results of the comparative analysis of average values of age, age at onset and at diagnosis, time of evolution, disease duration and diagnosis delay between the groups of patients with AS and u-SpA. Patients with AS had a greater time of evolution, diagnosis delay, a longer duration of the disease and a greater age at inclusion time. We did not find any differences between two groups concerning age at diagnosis. Age at onset of the disease is smaller in the group of patients with AS than in patients with u-SpA.

Comparison of average values of age, age at diagnosis, age at onset, time of evolution, disease duration and diagnosis delay of patients with AS and u-SpA. The P-value represents significance of difference in mean values as determined by Student's t- test.
Fig. 2.

Comparison of average values of age, age at diagnosis, age at onset, time of evolution, disease duration and diagnosis delay of patients with AS and u-SpA. The P-value represents significance of difference in mean values as determined by Student's t- test.

Disease activity

Data corresponding to the comparisons of the variables BASDAI, BASFI, BASRI and AsQol for patients with AS and u-SpA are expressed in Fig. 3, based on the time of evolution divided in three sections: <5 yrs, between 5 and 10 yrs and >10 yrs. Average value of BASFI in patients with AS is superior to that presented by patients with u-SpA (3.6 ± 2.7 vs 2.6 ± 2.5). Nevertheless, this relation is exactly opposite when time of evolution of disease is considered to be <5 yrs (2.0 ± 2 vs 3.0 ± 2.7). The comparison of the average values of BASDAI between both groups of patients shows the same behaviour as with BASFI but without showing significant statistical differences neither in the total number of patients (4.1 ± 2.3 vs 4 ± 2.4) nor in any group per time of evolution. On the contrary, the average values of BASRI total 7.4 ± 3.9 for patients with AS and 2.3 ± 2.0 for patients with u-SpA differ significantly among the group as a whole and between all groups per time of evolution (<5 yrs: 4.1 ± 2.2 vs 1.5 ± 1.6; 5–10 yrs: 4.9 ± 2.5 vs 2.2 ± 1.6; >10 yrs years: 8.0 ± 4.0 vs 2.8 ± 2.1).

Comparison of average values of BASFI, BASDAI, BASRI and AsQuol of AS and u-SpA patients. The P-value represents significance of difference in mean values as determined by Student's t-test.
Fig. 3.

Comparison of average values of BASFI, BASDAI, BASRI and AsQuol of AS and u-SpA patients. The P-value represents significance of difference in mean values as determined by Student's t-test.

Value of the patient's opinion

We have calculated the degree of agreement between the patient global assessment (PGA) of the disease and the nocturnal back pain (NBP) with BASDAI in patients with AS and u-SpA. We classified the results into three groups (<5 yrs, 5–10 yrs and >10 yrs), according to time of evolution of the disease and agreement degree determined by means of the ICC with its corresponding 95% CI. Table 5 shows the results: the agreement between PGA and BASDAI is higher in the u-SpA group and slightly lower in the AS group, at any time of disease duration. The agreement of the BASDAI with NBP is higher in the u-SpA group with >10 yrs of evolution and fair in the others.

Table 5.

Concordance between patient global assessment, nocturnal back pain and physician global assessment of diseases with BASDAI

Time of evolution<5 yrs5–10 yrs>10 yrs
ASn = 46n = 121n = 647
BASDAI- PGAICC = 0.69 (0.51 at 0.82)ICC = 0.73 (0.62 at 0.82)ICC = 0.74 (0.68 at 0.79)
r = 0.70 (P < 0.001)r = 0.76 (P < 0.001)r = 0.77 (P < 0.001)
BASDAI-NBPICC = 0.51 (0.26 at 0.70)ICC = 0.67 (0.55 at 0.75)ICC = 0.66 (0.61 at 0.70)
r = 0.53 (P < 0.001)r = 0.68 (P < 0.001)r = 0.68 (P < 0.001)
BASDAI-PADAICC= 0.58 (0.35 at 0.75)ICC= 0.64 (0.40 at 0.78)ICC = 0.43 (0.15 at 0.61)
r = 0.47 (P < 0.001)r = 0.66 (P < 0.001)r = 0.54 (P < 0.001)
u-SpAn = 48n = 71n = 81
BASDAI- PGAICC = 0.88 (0.79 at 0.93)ICC = 0.78 (0.67 at 0.86)ICC = 0.85 (0.74 at 0.90)
r = 0.89 (P < 0.001)r = 0.81 (P < 0.001)r = 0.85 (P < 0.001)
BASDAI-NBPICC = 0.63 (0.39 at 0.78)ICC = 0.62 (0.45 at 0.74)ICC = 0.72 (0.60 at 0.81)
r = 0.66 (P < 0.001)r = 0.64 (P < 0.001)r = 0.75 (P < 0.001)
BASDAI-PADAICC = 0.60 (0.30 at 0.78)ICC = 0.56 (0.34 at 0.72)ICC = 0.41 (0.04 at 0.68)
r = 0.68 (P < 0.001)r = 0.58 (P < 0.001)r = 0.57 (P < 0.001)
Time of evolution<5 yrs5–10 yrs>10 yrs
ASn = 46n = 121n = 647
BASDAI- PGAICC = 0.69 (0.51 at 0.82)ICC = 0.73 (0.62 at 0.82)ICC = 0.74 (0.68 at 0.79)
r = 0.70 (P < 0.001)r = 0.76 (P < 0.001)r = 0.77 (P < 0.001)
BASDAI-NBPICC = 0.51 (0.26 at 0.70)ICC = 0.67 (0.55 at 0.75)ICC = 0.66 (0.61 at 0.70)
r = 0.53 (P < 0.001)r = 0.68 (P < 0.001)r = 0.68 (P < 0.001)
BASDAI-PADAICC= 0.58 (0.35 at 0.75)ICC= 0.64 (0.40 at 0.78)ICC = 0.43 (0.15 at 0.61)
r = 0.47 (P < 0.001)r = 0.66 (P < 0.001)r = 0.54 (P < 0.001)
u-SpAn = 48n = 71n = 81
BASDAI- PGAICC = 0.88 (0.79 at 0.93)ICC = 0.78 (0.67 at 0.86)ICC = 0.85 (0.74 at 0.90)
r = 0.89 (P < 0.001)r = 0.81 (P < 0.001)r = 0.85 (P < 0.001)
BASDAI-NBPICC = 0.63 (0.39 at 0.78)ICC = 0.62 (0.45 at 0.74)ICC = 0.72 (0.60 at 0.81)
r = 0.66 (P < 0.001)r = 0.64 (P < 0.001)r = 0.75 (P < 0.001)
BASDAI-PADAICC = 0.60 (0.30 at 0.78)ICC = 0.56 (0.34 at 0.72)ICC = 0.41 (0.04 at 0.68)
r = 0.68 (P < 0.001)r = 0.58 (P < 0.001)r = 0.57 (P < 0.001)

ICC, Intraclass correlation coefficient with its corresponding 95% CI; considering that a value of ICC inferior to 0.5 would indicate a poor or no agreement, of 0.5–0.7 fair and superior to 0.7 the agreement would be good. r, correlation coefficient; PGA, patient global assessment; NBP, nocturnal back pain; PADA, physician assessment of disease activity; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index.

Table 5.

Concordance between patient global assessment, nocturnal back pain and physician global assessment of diseases with BASDAI

Time of evolution<5 yrs5–10 yrs>10 yrs
ASn = 46n = 121n = 647
BASDAI- PGAICC = 0.69 (0.51 at 0.82)ICC = 0.73 (0.62 at 0.82)ICC = 0.74 (0.68 at 0.79)
r = 0.70 (P < 0.001)r = 0.76 (P < 0.001)r = 0.77 (P < 0.001)
BASDAI-NBPICC = 0.51 (0.26 at 0.70)ICC = 0.67 (0.55 at 0.75)ICC = 0.66 (0.61 at 0.70)
r = 0.53 (P < 0.001)r = 0.68 (P < 0.001)r = 0.68 (P < 0.001)
BASDAI-PADAICC= 0.58 (0.35 at 0.75)ICC= 0.64 (0.40 at 0.78)ICC = 0.43 (0.15 at 0.61)
r = 0.47 (P < 0.001)r = 0.66 (P < 0.001)r = 0.54 (P < 0.001)
u-SpAn = 48n = 71n = 81
BASDAI- PGAICC = 0.88 (0.79 at 0.93)ICC = 0.78 (0.67 at 0.86)ICC = 0.85 (0.74 at 0.90)
r = 0.89 (P < 0.001)r = 0.81 (P < 0.001)r = 0.85 (P < 0.001)
BASDAI-NBPICC = 0.63 (0.39 at 0.78)ICC = 0.62 (0.45 at 0.74)ICC = 0.72 (0.60 at 0.81)
r = 0.66 (P < 0.001)r = 0.64 (P < 0.001)r = 0.75 (P < 0.001)
BASDAI-PADAICC = 0.60 (0.30 at 0.78)ICC = 0.56 (0.34 at 0.72)ICC = 0.41 (0.04 at 0.68)
r = 0.68 (P < 0.001)r = 0.58 (P < 0.001)r = 0.57 (P < 0.001)
Time of evolution<5 yrs5–10 yrs>10 yrs
ASn = 46n = 121n = 647
BASDAI- PGAICC = 0.69 (0.51 at 0.82)ICC = 0.73 (0.62 at 0.82)ICC = 0.74 (0.68 at 0.79)
r = 0.70 (P < 0.001)r = 0.76 (P < 0.001)r = 0.77 (P < 0.001)
BASDAI-NBPICC = 0.51 (0.26 at 0.70)ICC = 0.67 (0.55 at 0.75)ICC = 0.66 (0.61 at 0.70)
r = 0.53 (P < 0.001)r = 0.68 (P < 0.001)r = 0.68 (P < 0.001)
BASDAI-PADAICC= 0.58 (0.35 at 0.75)ICC= 0.64 (0.40 at 0.78)ICC = 0.43 (0.15 at 0.61)
r = 0.47 (P < 0.001)r = 0.66 (P < 0.001)r = 0.54 (P < 0.001)
u-SpAn = 48n = 71n = 81
BASDAI- PGAICC = 0.88 (0.79 at 0.93)ICC = 0.78 (0.67 at 0.86)ICC = 0.85 (0.74 at 0.90)
r = 0.89 (P < 0.001)r = 0.81 (P < 0.001)r = 0.85 (P < 0.001)
BASDAI-NBPICC = 0.63 (0.39 at 0.78)ICC = 0.62 (0.45 at 0.74)ICC = 0.72 (0.60 at 0.81)
r = 0.66 (P < 0.001)r = 0.64 (P < 0.001)r = 0.75 (P < 0.001)
BASDAI-PADAICC = 0.60 (0.30 at 0.78)ICC = 0.56 (0.34 at 0.72)ICC = 0.41 (0.04 at 0.68)
r = 0.68 (P < 0.001)r = 0.58 (P < 0.001)r = 0.57 (P < 0.001)

ICC, Intraclass correlation coefficient with its corresponding 95% CI; considering that a value of ICC inferior to 0.5 would indicate a poor or no agreement, of 0.5–0.7 fair and superior to 0.7 the agreement would be good. r, correlation coefficient; PGA, patient global assessment; NBP, nocturnal back pain; PADA, physician assessment of disease activity; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index.

Discussion

REGISPONSER is a dynamic project based upon a disease registry. The presented results provide a reliable picture of SpA in Spain, as the data were gathered from a large and representative population of patients.

Disease registries are valuable instruments for clarifying aspects of the epidemiology, outcome, effectiveness and therapeutic tolerance of diseases, as well as their impact on socioeconomic conditions and quality of life. Such registries are usually built prospectively around large databases that gather information from many centres. And in a standardized form, REGISPONSER is the first registry designed specifically for SpA, which collects the minimum set of data (socio-demographic, clinical, biological and genetic) relevant to the disease. Furthermore, we have designed a system that allows inclusion of patients from any rheumatology department of Spain under strict quality control by means of close monitoring and filters that detect data inconsistencies. All data collecting forms used in the registry were agreed upon beforehand, and they have been adapted to improve ease of use in regular clinical practice. One of the most important achievements is the normalization of SpA patients’ assessment and the incorporation of self-administered patient questionnaires into routine clinical practice. Furthermore, each rheumatologist has individual access to the registry, either for investigative or management purposes, making it an effective tool for supporting the decision-making process. It is now clear that uniformity in data collection using similar methodologies will enhance the power and comparability of data obtained from different sources. It is important that future researchers build upon common methodologies in order to use optimal strategies and learn about experiences in other parts of the world.

We have not found similar published studies of patients with SpA that can be compared with ours. In this respect, it is interesting to emphasize that although the registry is the first specific SpA database, we have noted that the distribution by individual diagnoses did not differ from the reported data in previous works. For instance, in the study that brought forward the proposal of the Criteria for Classification of the Spondyloarthropathies by Amor et al. [28], all 124 French patients included had a distribution of diagnoses very similar to ours (SpA 60.5%, PsA 25.8%, u-SpA 5%), and the distribution of 403 patients included for the ESSG Classification Criteria was also similar, with perhaps less AS (AS 42%, PsA 17%, and u-SpA 27%).

Using the data collected for this registry, we can define the clinical and demographic profile of patients suffering from SpA in Spain. We have been able to verify that the age at onset of disease as well as the delay diagnosis in our patients are similar to those described in previous works in different regions or countries [29, 30]. Clinical spectrum of SpA in Spanish patients is not significantly different from data shown in studies published in Western countries.

u-SpA is an interesting subgroup of patients within SpA. Conceptually, they are patients with characteristics of SpA that meet SpA classification criteria but do not fit any diagnoses proposed for the known diseases. From clinical practice, it is known that these patients are in an early phase of AS or another SpA but they are known as well to stay in this undifferentiated state for many years. The registry collects data from 205 patients with u-SpA, which we compared with those of the AS patients, finding that the marked differences only occurred, as expected, in the parameters that describe the severity and structural damage of the disease. The associated manifestations were also similar in both groups of patients. We also have compared BASDAI, BASRI, BASFI and AsQuol, although these scales have not yet been validated for u-SpA, as some authors considered it acceptable [31]. We found interesting that patients with u-SpA were not different in disease activity (BASDAI) nor in quality of life (SF-12) as compared with patients with AS. The only difference between both groups of patients concerns function (BASFI) and is significantly higher in patients with AS, although not in the first 5 yrs of disease duration. In this period, patients with u-SpA feel that the disease limits them more than patients with AS do. When we studied the values of the patients’ global assessment of the disease and nocturnal pain in relation with BASDAI in both patient groups, we found that the agreement between PGA and BASDAI is higher in the u-SpA group and slightly inferior in the AS group, at any time of evolution. The agreement of the BASDAI with NBP is high in the u-SpA group with >10 yrs of evolution and fair in the other groups. These results demonstrate that PGA in patients with u-SpA could be used as an index of the disease activity.

At the moment, the registry is being used in 50 new Spanish centres and 10 Latin American countries.

The authors have declared no conflicts of interest.

References

1
Khan
MA
,
Update on spondyloarthropathies
Ann Intern Med
,
2002
, vol.
135
(pg.
896
-
907
)
2
Akkoc
N
Khan
MA
Weisman
MH
van der Heijde
D
Reveille
JD
,
Epidemiology of ankylosing spondylitis and related spondyloarthropathies
Ankylosing spondylitis and the spondyloarthropathies
,
2006
Philadelphia
Mosby
(pg.
117
-
31
)
3
Collantes
E
Cisnal
A
Muñoz
E
et al.
,
Validación de criterios diagnósticos y de clasificación de las espondiloartropatías: Estudio multicéntrico en España
Rev Esp Reumatol
,
1994
, vol.
21
(pg.
426
-
29
)
4
Carmona
L
Ballina
J
Gabriel
R
Laffon
A
EPISER Study Group
,
The burden of musculoskeletal diseases in the general population of Spain: results from a national survey
Ann Rheum Dis
,
2001
, vol.
60
(pg.
1040
-
5
)
5
Lynge
E
,
Implication for epidemiology of disease registers
Public Health Rev
,
1993
, vol.
21
(pg.
263
-
70
)
6
Zink
A
Listing
J
Klindworth
C
Zeidler
H
,
The National database of the German Collaborative Arthriris Centres: I. Structure, aims, and patients
Ann Rheum Dis
,
2001
, vol.
60
(pg.
199
-
206
)
7
Wolfe
F
,
A short history of data banking in the United States from 1974 to 2003
J Rheumatol
,
2004
, vol.
31
(pg.
41
-
45
)
8
Mayes
MD
Giannini
EH
Pachman
LM
Buyon
JP
Fleckman
P
,
Connective tissue disease registries
Arthritis Rheum
,
1997
, vol.
40
(pg.
1556
-
9
)
9
Malleson
PN
Fung
MY
Rosenberg
AM
,
The incidence of pediatric rheumatic diseases: results from the Canadian Pediatric Rheumatology Association Disease Registry
J Rheumatol
,
1996
, vol.
23
(pg.
1981
-
7
)
10
Bond
C
,
South Australian Scleroderma Register: analysis of deceased patients
Pathology
,
1998
, vol.
30
(pg.
386
-
90
)
11
Sokka
T
,
Rheumatoid artritis databases
Rheum Dis Clin North Am
,
2004
, vol.
30
(pg.
769
-
81
)
12
Kremer
JM
,
The CORRONA Database
Clin Exp Rheumatol
,
2005
, vol.
23
(pg.
S172
-
77
)
13
Mayes
MD
,
The establishment and utility of a population based registry to understand the epidemiology of systemic sclerosis
Curr Rheumatol Rep
,
2000
, vol.
2
(pg.
512
-
6
)
14
Wolfe
F
Sharp
JT
,
Radiographic outcome of recent-onset rheumatoid arthritis: a 19-year study of radiographic progression
Arthritis Rheum
,
1998
, vol.
41
(pg.
571
-
82
)
15
Christensson
D
Saveland
H
Rydholm
U
,
Cervical spine surgery in rheumatoid arthritis. A Swedish nation-wide registration of 83 patients
Scand J Rheumatol
,
2000
, vol.
29
(pg.
314
-
9
)
16
Silman
A
Klareskog
L
Breedveld
F
et al.
,
Proposal to establish a register for the long term surveillance of adverse events in patients with rheumatic diseases exposed to biological agents: the EULAR Surveillance Register for Biological Compounds
Ann Rheum Dis
,
2000
, vol.
59
(pg.
419
-
20
)
17
Comité científico de BIOBADASER
,
Sociedad Española de Reumatología. BIOBADASER: registro español de acontecimientos adversos de terapias biológicas en enfermedades reumáticas
Rev Esp Reumatol
,
2002
, vol.
29
(pg.
292
-
9
)
18
Gladman
DD
Ritchlin
C
Helliwell
PS
,
Psoriatic arthritis clinical registries and genomics
Ann Rheum Dis
,
2005
, vol.
64
(pg.
103
-
5
)
19
Jarvinen
P
,
Occurrence of ankylosing spondylitis in a nationwide series of twins
Arthritis Rheum
,
1995
, vol.
38
(pg.
381
-
3
)
20
Dougados
M
van der Linden
Sjef
Juhlin
R
et al.
,
The European Spondyloarthropathy Study Group Preliminary Criteria for the Classification of Spondyloartropathy
Arthritis Rheum
,
1991
, vol.
34
(pg.
1218
-
27
)
21
Heuft-Dorenbosch
L
Spoorenberg
A
Van Tubergen
R
et al.
,
Assessment of enthesitis in ankylosing spondylitis
Ann Rheum Dis
,
2003
, vol.
62
(pg.
127
-
32
)
22
Garrett
S
Jenkinson
T
Kennedy
LG
Whitelock
H
Gaisford
P
Calin
A
,
A new approach to defining disease status in ankylosing spondylitis: the Bath Ankylosing Spondylitis Disease Activity Index
J Rheumatol
,
1994
, vol.
21
(pg.
2286
-
91
)
23
Calin
A
Garrett
S
Whitelock
H
et al.
,
A new approach to defining functional ability in ankylosing spondylitis: the development of the Bath Ankylosing Spondylitis Functional Index
J Rheumatol
,
1994
, vol.
21
(pg.
2281
-
5
)
24
Mackay
K
Mack
C
Brophy
S
Calin
A
,
The Bath Ankylosing Spondylitis Radiology Index (BASRI). A new validated approach to diseases assessment
Arthritis Rheum
,
1998
, vol.
41
(pg.
2263
-
70
)
25
Doward
LC
Spoorenberg
A
Cook
SA
et al.
,
Development of the ASQoL: a quality of life instrument specific to ankylosing spondylitis
Ann Rheum Dis
,
2003
, vol.
62
(pg.
20
-
6
)
26
Ware
JE
Kosinski
M
Keller
SD
,
A 12-Item Short-Form Health Survey. Construction of scales and preliminary test of reliability and Validity
Med Care
,
1996
, vol.
34
(pg.
220
-
33
)
27
Gomariz
EM
del Mazo
AC
Guijo
VP
Contreras
AE
Villanueva
M
Estévez
EC
,
The potential of ESSG spondyloathropathy classification criteria as a diagnostic aid in rheumatological practice
J Rheumatol
,
2002
, vol.
29
(pg.
326
-
30
)
28
Amor
B
Dougados
M
Listrat
V
et al.
,
Evaluation of the Amor criteria for spondylarthropathies and European Spondylarthropathy Study Group (ESSG). A cross-sectional analysis of 2,228 patients
Ann Med Interne
,
1991
, vol.
142
(pg.
85
-
9
)
29
Siepper
J
Rudwaleit
M
,
Early referral recommendations for ankylosing spondylitis (including pre-radiographic and radiographic forms) in primary care
Ann Rheum Dis
,
2005
, vol.
64
(pg.
659
-
63
)
30
Feldkeller
E
Khan
MA
van der Heijde
D
van der Linden
S
Braun
J
,
Age at disease onset and diagnosis delay in HLA-B27 negative vs. positive patients with Ankylosing spondylitis
Rheumatol Int
,
2003
, vol.
23
(pg.
61
-
6
)
31
Cardiel
MH
Londoño
JD
Gutierrez
E
Pacheco-Tena
C
Vazquez-Mellado
J
Burgos-Vargas
R
,
Translation, cross-cultural adaptation, and validation of the Bath Ankylosing spondylitis functional index (BASFI) and the Dougados Fuctional Index (DFI) in a Spanish speaking population with spondyloarthropathies
Clin Exp Rheumatol
,
2003
, vol.
21
(pg.
451
-
8
)

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.