Literature DB >> 33823632

Real-world experiences of the diagnosis process in Korean patients with ankylosing spondylitis based on a self-report questionnaire.

Jin-Wuk Hur1, Kyung Min Ko2, Kyung-Su Park3, Seung-Jae Hong4, Hyun-Sook Kim5, Myeung-Su Lee6.   

Abstract

OBJECTIVES: The diagnosis of ankylosing spondylitis (AS) is often delayed, which affects various clinical outcomes. This study examined the real-world situation of patients with AS during diagnosis and treatment.
METHODS: Data were obtained from 26 tertiary care hospitals in Korea using a self-report questionnaire. The questionnaire assessed symptoms, pain, extra-articular manifestations, the initial pattern of pain before diagnosis, factors leading to delayed referral to rheumatology, time until receiving an AS diagnosis, comorbid diseases, treatment status, and disease education needs.
RESULTS: Between September and October 2019, 1012 patients with AS completed the survey. Of these, 75.8% were men and 51.8% were in their 30s or 40s. Median disease duration was 76 months. The median time to diagnosis with AS was 12 months. When pain occurred, the medical departments most frequently visited first were orthopedic (61.5%) and rheumatology (18.7%) departments. The likelihood of the first visit being to the orthopedic department and the frequency of biologics use increased with the disease duration. The rates of uveitis, depressed mood, and comorbid diseases were higher in the group with delayed diagnosis.
CONCLUSIONS: Physicians should be aware of subtypes of AS that take longer to diagnose and comorbid diseases in the real-world clinical setting.

Entities:  

Keywords:  Korea; Real-world setting; ankylosing spondylitis; clinical outcome; comorbid disease; self-survey

Year:  2021        PMID: 33823632      PMCID: PMC8033485          DOI: 10.1177/03000605211004201

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


Introduction

Ankylosing spondylitis (AS) is subtype of spondyloarthritides (SpA), including non-radiographic axial and peripheral spondyloarthritis.[1] These diseases are all characterized by inflammatory back pain and extra-articular manifestations, including enthesitis, uveitis, psoriasis, and inflammatory bowel disease.[2] AS is associated with decreased quality of life (QoL) and work productivity, as well as pain, fatigue, morning stiffness, disability, and cardiovascular comorbidities.[3-5] Therefore, delayed diagnosis in patients with AS can lead to social burdens owing to an inability to maintain daily work or to receive adequate and timely treatment. Diagnosing AS is often challenging as back pain is common among the general population, the disease progresses insidiously, there are no specific biomarkers, and referral to a rheumatologist is often delayed. Patients frequently consult with non-rheumatologists in the early stages of the disease.[6] Moreover, social diversity influences patient decisions; therefore, improving the current situation is essential for better long-term management of AS.[7] In this study, we (a) analyzed the baseline demographic characteristics of patients, pain before diagnosis, the first medical institution visited, and time until receiving a diagnosis of AS; (b) analyzed clinical characteristics according to disease duration and time to diagnosis; and (c) examined the relationship between clinical characteristics and comorbid diseases using a self-report survey.

Methods

Study design and participants

A cross-sectional descriptive design was used. Participants were patients with AS aged 18 years or older attending a rheumatology outpatient clinic at 26 tertiary care hospitals in the Republic of Korea. All patients were diagnosed with AS by their treating rheumatologist and met the 1984 modified New York criteria.[8] Data were collected from patients with AS who completed a self-report questionnaire between September and October 2019. This questionnaire was completed only once and personal information was not recorded. The questionnaire included items on sex, age, disease duration, treatment status, first medical department visited, initial diagnosis, time until receiving a diagnosis of AS, pain characteristics, other symptoms, extra-articular manifestations, comorbid medical diseases, and disease education requirements. Completed surveys were reviewed by expert members of the Korean Rheumatology Society.

Statistical analysis

Statistical analyses were performed using IBM SPSS version 25.0 (IBM Corp., Armonk, NY, USA). The Kolmogorov–Smirnov test was used to analyze variables with a normal distribution, and nonparametric tests were used for data that were not normally distributed. Basic demographic and descriptive data are presented descriptively using median and interquartile range (IQR) for continuous data and frequency with percentage for categorical data. Clinical characteristics were compared between groups using the Mann–Whitney U test to compare each pair of group medians, and the chi-square test was used for testing trends between groups. The Kruskal–Wallis test and post-hoc analysis (Mann–Whitney U test) were used to compare clinical parameters among the three groups. Multivariate logistic regression analysis was used to identify factors associated with the risk of comorbid diseases, and odds ratios (ORs) were calculated. For all analyses, p-values <0.05 were considered statistically significant.

Ethics committee approval

This study was approved by the relevant institutional review board/ethics committee (IRB/EC) of Soonchunhyang University Seoul Hospital, which reviewed the verbal consent form, study protocol, and potential risks and benefits to participants (IRB file no. SCHUH 2020-02-008). Because the survey was conducted voluntarily without matching personal information in clinical practice, its retrospective use was approved without the need for informed consent by the IRB/EC.

Results

Baseline demographics and characteristics of patients with AS

A total of 1012 patients with AS completed a self-report questionnaire survey between September and October 2019. Table 1 summarizes the baseline demographic data of all patients. Among respondents, 75.8% were men, 51.8% were in their 30s or 40s, and the median duration of disease was 76 months. Most patients received hospital treatment only (89.3%); 57.6% indicated that they were receiving injections, but only 30.6% reported that they were using biologics. Hospital treatment refers to treatment in a medical institution as recognized by government agencies. On experiencing symptoms, the medical departments most frequently visited first were the orthopedics department (61.5%) and rheumatology department (18.7%). Only 38.1% of patients were diagnosed with AS after the initial hospital visit, and the median time to receiving an accurate diagnosis of AS was 12 months. The first type of pain to develop was most frequently lower back pain (34.3%), followed by buttock/coccyx pain (28.9%). Pain most often occurred immediately after waking in the morning (46.0%) and lasted for over 1 hour (30.4%), but 44.7% of patients reported that they could tolerate their pain (Figure 1).
Table 1.

Basic patient demographic data obtained in self-report questionnaire (N = 1012).

Frequency (n)%
Sex
 Male76775.8
 Female23523.2
 No response101.0
Age
 10s70.7
 20s15315.1
 30s25425.1
 40s27026.7
 50s20119.9
 60s807.9
 Over 70 years313.1
 No response161.6
Median disease duration (months)a76 (36–144)
Recent treatment(s) (multiple responses allowed)
 Oral medication58357.6
 Injection55654.9
 Exercise575.6
 Other121.2
 No response414.1
Additional treatments
 Hospital treatment only90489.3
 Other (manual physical therapy, and so on)828.1
 Both30.3
 No response232.3
First department visited (multiple responses allowed)
 Orthopedics62261.5
 Rheumatology18918.7
 Neurosurgery737.2
 Oriental medicine616.0
 Pain medicine464.5
 Rehabilitation medicine313.1
 Family medicine80.8
 Ophthalmology121.2
 General medicine30.3
 Other313.1
 No response101.0
First diagnosis (multiple responses allowed)
 Ankylosing spondylitis38738.1
 Herniated disc15415.2
 Non-specific pain13012.8
 Hip arthropathy11711.6
 Chronic myalgia525.1
 Low back pain owing to poor posture626.1
 Rheumatoid arthritis252.5
 Gout90.9
 Plantar fasciitis80.8
 Uveitis50.5
 Other888.7
 No response151.5
Biologics used
 Yes31030.6
 No20220.0
 Unsure34734.3
 No response15315.1
Median time to diagnosis (months)a12 (3–48)
Time to diagnosis
 Less than 1 year50449.8
 1–2 years10710.6
 2–3 years818.0
 3–4 years303.0
 4–5 years474.6
 5–6 years161.6
 More than 6 years15215.0
 No response757.4
Comorbid diseases (multiple responses allowed)
 Hypertension20920.7
 Dyslipidemia14214.0
 Insomnia888.7
 Diabetes646.3
 Depression504.9
 Acute coronary syndrome (angina, MI)282.8
 Hepatitis B171.8
 Renal insufficiency141.4
 Other11711.6

aMedian (interquartile range). Chi-square test was used for analysis.

MI, myocardial infarction.

Figure 1.

Types and characteristics of pain described by patients with ankylosing spondylitis as the initial symptom (N = 1012). (a) Site of pain, (b) time of day when pain occurs, (c) duration of pain, (d) severity of pain.

Basic patient demographic data obtained in self-report questionnaire (N = 1012). aMedian (interquartile range). Chi-square test was used for analysis. MI, myocardial infarction. Types and characteristics of pain described by patients with ankylosing spondylitis as the initial symptom (N = 1012). (a) Site of pain, (b) time of day when pain occurs, (c) duration of pain, (d) severity of pain.

Clinical characteristics according to disease duration and time until diagnosis

The median time to diagnosis was longer in the group with a disease duration of more than 5 years, as compared with patients who had a shorter disease duration (12.5, IQR 3.25–60 vs. 12, IQR 3–36 months), p = 0.003). The probability of being diagnosed with AS within 1 year was significantly lower in the group with a disease duration over 5 years (47.7% vs. 55.6%, p = 0.01). The proportion of patients aged 40 years or older was higher in the group with disease duration over 5 years, as was the rate of biologics use (43.2% vs. 28.7%, p < 0.001) and the proportion who first visited the orthopedics department (65.9% vs. 59.3%, p = 0.04) (Table 2).
Table 2.

Comparison of clinical characteristics of patients with AS, by disease duration.


Disease duration, n (%)
≤5 years>5 yearsTotalp-value
Sexa
 Male298 (73.8)413 (81.5)711 (78.0)0.005**
 Female106 (26.2)94 (18.5)200 (22.0)
Age (years)b
 Less than 40220 (55.0)165 (32.8)385 (42.6)<0.001**
 Over 40180 (45.0)338 (67.2)518 (57.4)
Biologics usedc
 Yes98 (28.7)188 (43.2)286 (36.8)<0.001**
 No93 (27.2)94 (24.6)187 (24.1)
 Unsure151 (44.2)153 (35.2)304 (39.1)
Time to diagnosis (months)#12 (3–36)12.5 (3.25–60)12 (3–48)0.003**
Time to diagnosisd
 ≤1 year225 (55.6)242 (47.7)467 (53.9)0.010*
 1–2 years41 (10.1)57 (11.2)98 (10.6)0.621
 2–3 years26 (6.4)48 (9.5)74 (8.5)0.102
 3–4 years12 (3.0)14 (2.8)26 (3.0)0.837
 4–5 years16 (4.0)28 (5.5)44 (5.1)0.284
 5–6 years5 (1.2)10 (2.0)15 (1.7)0.394
 More than 6 years58 (14.3)85 (16.8)143 (16.5)0.341
First department visited (multiple responses allowed)
 Orthopedics240 (59.3)334 (65.9)622 (62.9)0.040*
 Rheumatology70 (17.3)86 (17)156 (17.1)0.898
 Neurosurgery38 (9.4)30 (5.9)68 (7.5)0.048*
 Oriental medicine33 (8.1)25 (4.9)58 (6.4)0.048*
 Pain medicine21 (5.2)20 (3.9)41 (4.5)0.369
 Rehabilitation medicine15 (3.7)14 (2.8)29 (3.2)0.420
 Family medicine3 (0.7)5 (1.0)8 (0.9)1.000
 Ophthalmology5 (1.2)5 (1.0)10 (1.1)0.758
 General medicine0 (0)1 (0.2)1 (0.1)1.000
 Other9 (2.2)10 (2.0)19 (2.1)0.793

#Values analyzed using Mann–Whitney U or chi-square test. Values are median (IQR).

*p < 0.05, **p < 0.005.

Based on results in a911, b903, c777, d867 patients.

Comparison of clinical characteristics of patients with AS, by disease duration. #Values analyzed using Mann–Whitney U or chi-square test. Values are median (IQR). *p < 0.05, **p < 0.005. Based on results in a911, b903, c777, d867 patients. Clinical factors were compared among three groups, distinguished according to the time until AS diagnosis: within 1 year, 1 to 5 years, and more than 5 years. The prevalence of longer disease duration (p < 0.005), proportion of patients aged over 40 years (p < 0.001), and proportion of patients with a herniated disc (p < 0.001) or low back pain owing to poor posture (p = 0.001) as the first diagnosis was significantly higher in the group with more than 5 years to diagnosis. By contrast, in the group with a diagnosis made within 1 year, AS was significantly more often the first diagnosis (p < 0.001). Among other symptoms and extra-articular manifestations, the incidence rates of uveitis (p < 0.001) and depressed mood (p = 0.004) were significantly higher in the group with a time until diagnosis of more than 5 years. The frequency of comorbid diseases differed among the groups and increased with longer time to receiving a diagnosis of AS (p < 0.001) (Table 3).
Table 3.

Clinical factors according to time to diagnosis.

Variables
Time to diagnosis, n (%)
p-value
Within 1 year (n = 504)1–5 years (n = 265)Over 5 years (n = 168)Total (n = 937)
Sex (male) n (%)386 (77.7)201 (76.4)19 (77.2)716 (77.2)0.829
Age >40 years246 (49.6)156 (60.2)130 (77.8)532 (57.7)<0.001**
Disease duration (months)#,a72 (29–132)95.5 (41–180)96 (30–180)76 (36–144)<0.005**
 ≤5 years225 (48.2)95 (39.3)63 (39.9)383 (44.2)0.024*
 >5 years242 (51.8)147 (60.7)95 (60.1)484 (55.8)
Pain site (multiple responses allowed)
 Neck103 (20.4)62 (23.4)45 (26.8)210 (22.4)0.077
 Back73 (14.5)47 (17.7)38 (22.6)158 (16.9)0.014*
 Lower back173 (34.3)95 (35.8)51 (30.4)319 (34.0)0.494
 Buttock/coccyx126 (25.0)93 (35.1)48 (28.6)267 (28.5)0.094
 Hip87 (17.3)52 (19.6)38 (22.6)177 (18.9)0.116
 Heel35 (6.9)19 (7.2)7 (4.2)61 (6.5)0.291
 Other88 (17.5)31 (11.7)17 (10.1)136 (14.5)0.007**
First diagnosis (multiple responses allowed)
 AS232 (45.8)67 (25.3)45 (26.8)344 (36.7)<0.001**
 Herniated disc59 (11.7)50 (18.9)40 (23.8)149 (15.9)<0.001**
 Not specific59 (11.7)43 (16.2)22 (13.1)124 (13.2)0.348
 Hip arthropathy53 (10.5)31 (11.7)23 (13.7)107 (11.4)0.263
 Chronic myalgia22 (4.4)22 (8.3)8 (4.8)52 (5.5)0.388
 Low back pain owing to poor posture18 (3.6)24 (9.1)18 (10.7)60 (6.4)<0.001**
 Rheumatoid arthritis8 (1.6)11 (4.2)3 (1.8)22 (2.3)0.417
 Gout6 (1.2)3 (1.1)0 (0.0)9 (1.0)0.226
 Plantar fasciitis5 (1.0)3 (1.1)0 (0.0)8 (0.9)0.324
 Uveitis2 (0.4)0 (0.0)3 (1.8)5 (0.5)0.103
 Other46 (9.1)23 (8.7)13 (7.7)80 (8.5)0.588
Symptoms and extra-articular manifestations (multiple responses allowed)
 Fatigue290 (57.5)168 (63.4)106 (63.1)564 (60.2)0.113
 Myalgia182 (36.1)120 (45.3)69 (41.1)371 (39.6)0.081
 Arthralgia179 (35.5)115 (43.4)56 (33.3)350 (37.4)0.825
 Depressed mood111 (22.0)74 (27.9)58 (34.5)243 (25.9)0.001**
 Weight loss39 (7.7)21 (7.9)10 (6.0)70 (7.5)0.528
 Uveitis106 (21.0)69 (26.0)65 (38.7)240 (25.6)<0.001**
 Skin rash51 (10.1)34 (12.8)24 (14.3)109 (11.6)0.109
 Oral ulcer29 (5.8)21 (7.9)14 (8.3)64 (6.8)0.180
 Diarrhea, abdominal pain42 (8.3)23 (8.7)18 (10.7)83 (8.9)0.388
 Anterior chest pain88 (17.5)57 (21.5)37 (22.0)182 (19.4)0.125
 Pain in Achilles tendon83 (16.5)38 (14.3)27 (16.1)148 (15.8)0.733
 Dyspnea14 (2.8)17 (6.4)7 (4.2)38 (4.1)0.153
 Comorbid diseases218 (43.3)135 (50.9)101 (60.1)454 (48.5)<0.001**

#Kruskal–Wallis test or chi-square test was used to compare the three groups. Values are median (interquartile range) unless otherwise indicated. Comorbid diseases include those listed in Table 1.

*p<0.05, **p<0.005.

aSignificant difference between groups within 1 year and 1 to 5 years with Mann–Whitney U test.

AS, ankylosing spondylitis.

Clinical factors according to time to diagnosis. #Kruskal–Wallis test or chi-square test was used to compare the three groups. Values are median (interquartile range) unless otherwise indicated. Comorbid diseases include those listed in Table 1. *p<0.05, **p<0.005. aSignificant difference between groups within 1 year and 1 to 5 years with Mann–Whitney U test. AS, ankylosing spondylitis.

Relationship among accompanying clinical characteristics and comorbid diseases

The presence or absence of comorbid diseases was based on the results of the patient questionnaires. Patients were judged to have comorbid diseases when they took medicine or underwent related procedures. The most commonly reported comorbid diseases were hypertension (20.7%), dyslipidemia (14.0%), insomnia (8.7%), and diabetes (6.3%). The prevalence of a greater likelihood of extra-articular manifestations and comorbid diseases was increased with disease duration (Figure 2). In multivariate logistic regression analysis, comorbid diseases were more prevalent in those aged over 40 years (Table 4).
Figure 2.

Associations with disease duration. (a) Prevalence of extra-articular manifestations and (b) comorbid diseases.

ACS, acute coronary syndrome.

Table 4.

Multivariate logistic regression analysis of risk factors for comorbid diseases in patients with AS.


Comorbid disease
Risk factorsHypertensionACSDyslipidemiaDiabetes mellitusInsomniaDepression
OR (95% CI)
Sex (female) 0.520 (0.311–0.871)* 0.249 (0.053–1.167)0.814 (0.479–1.383)0.644 (0.263–1.573)1.155 (0.628–2.124) 2.368 (1.038–5.404)*
Disease duration (months)1.000 (0.998–1.002)0.998 (0.993–1.003)0.998 (0.997–1.001) 1.003 (1.000–1.006)* 0.999 (0.996–1.002)1.004 (0.997–1.005)
Over age 40 years 4.447 (2.756–7.175)* 6.015 (1.206–30.00)* 6.617 (3.460–12.65)* 3.263 (1.166–9.135)* 1.763 (0.943–3.295)1.499 (0.614–3.662)
Hypertension 4.288 (1.692–10.867)* 2.068 (1.310–3.266)* 3.316 (1.734–6.344)* 0.910 (0.455–1.821)1.126 (0.439–2.888)
ACS 3.735 (1.465–9.521)* 2.245 (0.906–5.565)1.248 (0.380–4.098)0.261 (0.255–8.833)2.846 (0.669–12.107)
Dyslipidemia 2.055 (1.300–3.250)* 2.252 (0.894–5.671) 2.642 (1.374–5.080)* 1.410 (0.707–2.813)1.144 (0.433–3.028)
Diabetes Mellitus 3.282 (1.735–6.210)* 1.875 (0.582–6.048) 2.717 (1.431–5.157)* 1.221 (0.436–3.420)1.277 (0.371–2.568)
Insomnia0.969 (0.478–1.961)0.253 (0.042–1.538)1.385 (0.684–2.806)1.426 (0.525–3.878) 4.535 (2.020–10.185)*
Depression1.031 (0.419–2.537)3.153 (0.686–14.48)1.049 (0.413–2.663)1.873 (0.551–6.370) 4.179 (1.876–9.310)*
Hepatitis B0.0000.0000.0000.0001.501 (0.255–8.833)0.000
Renal impairment0.765 (0.136–4.302)6.987 (0.443–110.31)2.157 (0.437–10.647)1.977 (0.224–17.456) 9.010 (2.099–38.679)* 2.622 (0.470–14.635)
Fatigue1.182 (0.793–1.760)0.573 (0.200–1.637)0.952 (0.603–1.502)0.924 (0.477–1.791)1.839 (0.933–3.626)0.946 (0.371–2.568)
Myalgia0.976 (0.662–1.438)1.975 (0.790–4.939)1.116 (0.723–1.725) 2.073 (1.097–3.917)* 1.329 (0.767–2.305)1.392 (0.628–3.086)
Arthralgia0.675 (0.455–1.002)0.929 (0.359–2.406)0.780 (0.492–1.235)0.922 (0.477–1.781)1.553 (0.887–2.718)1.047 (0.459–2.385)
Depressive mood0.914 (0.570–1.464)1.426 (0.482–4.214)1.111 (0.664–1.858)0.872 (0.385–1.974) 3.031 (1.717–5.352)* 6.820 (2.800–16.611)*
Weight loss2.274 (0.977–5.291)1.000 (0.218–4.590)0.934 (0.405–2.156)1.026 (0.327–1.410)1.951 (0.946–4.024)1.645 (0.625–4.331)
Uveitis1.255 (0.801–1.876)1.229 (0.461–3.272)1.351 (0.858–2.130)0.679 (0.327–1.410)0.701 (0.373–1.315)0.777 (0.321–1.878)
Skin rash0.923 (0.533–1.599)2.633 (0.881–7.872)1.118 (0.615–2.032)1.093 (0.268–3.105)1.526 (1.792–2.938)0.981 (0.394–2.444)
Oral ulcer1.230 (0.576–2.628)0.166 (0.013–2.109)1.141 (0.532–2.446)0.913 (0.268–3.105)1.808 (0.835–3.913)1.581 (0.541–4.618)
Diarrhea, abdominal pain1.459 (0.759–2.805)0.616 (0.111–3.400)0.522 (0.214–1.270)0.156 (0.019–1.276)1.808 (0.835–3.913)2.055 (0.763–5.535)
Anterior chest pain1.194 (0.742–1.920)1.306 (0.446–3.818)1.413 (0.833–2.396)0.740 (0.312–1.756)0.715 (0.368–1.391)1.815 (0.781–4.218)
Pain in Achilles tendon 0.513 (0.297–0.886)* 1.279 (0.424–3.857)1.316 (0.779–2.223) 2.288 (1.091–4.798)* 1.433 (0.772–2.659)0.744 (0.302–1.830)
Dyspnea0.819 (0.297–2.256)3.276 (0.649–16.527)0.526 (0.154–1.793)0.615 (0.093–4.055)0.649 (0.205–2.058)2.779 (0.951–8.126)

*Significant differences are in bold text.

ACS, acute coronary syndrome, OR, odds ratio, CI, confidence interval.

Associations with disease duration. (a) Prevalence of extra-articular manifestations and (b) comorbid diseases. ACS, acute coronary syndrome. Multivariate logistic regression analysis of risk factors for comorbid diseases in patients with AS. *Significant differences are in bold text. ACS, acute coronary syndrome, OR, odds ratio, CI, confidence interval.

Education needs of patients with AS

In addition to usual clinical care, 437 of 974 respondents (44.9%) suggested the need for additional education, including information on disease progression or prognosis (36.8%), coping with complications during treatment (35.0%), and exercise (30.6%) (Figure 3).
Figure 3.

Education wanted by patients with ankylosing spondylitis in the outpatient clinic (multiple responses allowed).

Education wanted by patients with ankylosing spondylitis in the outpatient clinic (multiple responses allowed).

Discussion

The success of biologics for treating patients with AS has been demonstrated in numerous randomized controlled clinical trials, and tolerability has been documented in actual clinical practice.[9] However, the treatment is unsatisfactory in many patients and transfer to a specialist is often delayed in the real-world setting.[10] Early treatment of AS is important for slowing disease progression, and timely therapy provided by a rheumatologist can improve clinical outcomes.[6] The time to receiving an AS diagnosis is the time from the initial symptoms to the initiation of therapy. In this study, the duration of the disease was defined as the period from the initial symptoms to the present or until the end of all treatments. Although a delay in the diagnosis and treatment of AS cannot be correlated with causing a specific comorbidity, it is known that such delays can cause progression of AS and can more often cause extra-articular manifestations. In the Korean medical system, in general, patients first receive treatment at a primary medical institution and are then referred to a secondary medical institution, depending on the severity of their disease. However, it is important for patients to select the appropriate department, in consideration of their symptoms, as they can visit a secondary hospital directly or can meet with a specialist in a primary medical institution. Most medical expenses are covered by the national insurance, and it is relatively easy to visit a hospital. The diagnosis of AS is commonly delayed because back pain, which is the primary symptom of AS, affects nearly all adults at some point in their lifetime.[11,12] Time is needed to recognize symptoms, including specific pain characteristics and the relationship with extra-articular manifestations.[13,14] In our study, there was no significant difference in the time to receiving a diagnosis between patients who complained of specific lower back pain and those who did not. However, there was a significant difference among patients with any back pain in a non-specific location: 14.5% of cases were diagnosed within 1 year; 17.7% were diagnosed within 1 to 5 years; and 22.6% were diagnosed after more than 5 years (p = 0.004). If the back pain is not in the lower back, it can take more time to diagnose AS. The median time to diagnosis was 12 months, and this tended to be longer in the group with a disease duration of more than 5 years versus up to 5 years duration (12.5, IQR 3.25–60 vs. 12, IQR 3–36 months), p = 0.003). Although patients with a disease duration less than 5 years had a shorter delay to diagnosis, earlier diagnosis is still preferable. The medical system in the Republic of Korea is well organized and there have been many improvements for patients seeking rheumatologists. Nevertheless, orthopedic clinics were the most frequent department visited first by patients with AS, especially those with a disease duration of more than 5 years versus up to 5 years (65.9% vs. 59.3%, p = 0.040). Because we used a self-report instrument in our survey, it is difficult to confirm the accuracy of reporting regarding diagnoses and treatment patterns in terms of whether the first medical department visited was rheumatology or a non-rheumatology provider.[6] A future study should further examine the actual behavior of patients, which could inform patient management.[15,16] A seamless referral system should be the goal, through improving physician and patient education. The median duration of disease in the 1012 patients was 76 (36–144) months, and 16.5% of patients had a disease duration of more than 6 years (Table 2). Although 64.5% of patients had a disease duration of less than 2 years, the proportion of patients with comorbid diseases was high, at 48.5% (Table 4). AS is a chronic inflammatory disorder with skeletal and systemic manifestations. Onset is usually at an early age and imposes a heavy burden on patients and society.[17] The burden on individual patients with AS is not limited to health care costs associated with controlling disease activity but also encompasses costs associated with managing extra-articular manifestations, comorbidities, and disability.[18,19] According to data of the National Health Insurance Service-National Sample Cohort, a Korean population-based cohort with submitted medical claims between 2002 and 2013, 28% of patients with AS experienced at least one extra-articular manifestation.[9,20] The impact of AS on mortality has recently been highlighted in nationwide, population-based cohort studies showing that all-cause mortality is significantly increased in patients with AS compared with the general population (OR = 1.60 in a Swedish cohort), and cardiovascular mortality (OR = 1.36 in a Canadian cohort) was found to be higher in patients with AS than in controls.[3,21] It has been suggested that diagnostic delay and, potentially, the frequent use of non-steroidal anti-inflammatory drugs (NSAIDs), predict death and a high incidence of cardiovascular disease in those taking NSAIDs.[21] Awareness of the various comorbid diseases is as important for the management of long-term debilitating illness as controlling the activity of the primary disease itself and improving QoL.[22] Patients want education pertaining not only to the outcome and prognosis of the disease but also the management of situations and complications that can occur during treatment. Self-report questionnaires are limited in the ability to obtain detailed data because they rely on patient recall. However, such surveys have the advantage of capturing the patient’s perspective on the diagnosis and treatment experience.[23] This was a comprehensive analysis of real-world patient experiences based on a self-report questionnaire. There have been many advances in the treatment of AS. Nevertheless, if diagnosis and treatment decision-making are improved and disease management is considered from the patient’s perspective, better clinical outcomes can be expected.
  23 in total

Review 1.  Axial spondyloarthritis in the USA: diagnostic challenges and missed opportunities.

Authors:  Abhijeet Danve; Atul Deodhar
Journal:  Clin Rheumatol       Date:  2018-12-26       Impact factor: 2.980

2.  Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria.

Authors:  S van der Linden; H A Valkenburg; A Cats
Journal:  Arthritis Rheum       Date:  1984-04

3.  Effects of patient satisfaction and confidence on the success of treatment of combined rheumatic disease and interstitial lung disease in a multidisciplinary outpatient clinic.

Authors:  Shin Ok Jeong; Soo-Taek Uh; Suyeon Park; Hyun-Sook Kim
Journal:  Int J Rheum Dis       Date:  2018-08       Impact factor: 2.454

4.  Patients With Ankylosing Spondylitis Have Increased Cardiovascular and Cerebrovascular Mortality: A Population-Based Study.

Authors:  Nisha Nigil Haroon; J Michael Paterson; Ping Li; Robert D Inman; Nigil Haroon
Journal:  Ann Intern Med       Date:  2015-09-15       Impact factor: 25.391

5.  Mortality in ankylosing spondylitis: results from a nationwide population-based study.

Authors:  Sofia Exarchou; Elisabeth Lie; Ulf Lindström; Johan Askling; Helena Forsblad-d'Elia; Carl Turesson; Lars Erik Kristensen; Lennart Th Jacobsson
Journal:  Ann Rheum Dis       Date:  2015-09-02       Impact factor: 19.103

6.  Ankylosing spondylitis diagnosis in US patients with back pain: identifying providers involved and factors associated with rheumatology referral delay.

Authors:  Atul Deodhar; Manish Mittal; Patrick Reilly; Yanjun Bao; Shivaji Manthena; Jaclyn Anderson; Avani Joshi
Journal:  Clin Rheumatol       Date:  2016-03-18       Impact factor: 2.980

7.  Comorbidity, disability, and healthcare expenditure of ankylosing spondylitis in Korea: A population-based study.

Authors:  Jeong Seok Lee; Baek-Lok Oh; Hee Young Lee; Yeong Wook Song; Eun Young Lee
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

8.  Public awareness of the need to call emergency medical services following the onset of acute myocardial infarction and associated factors in Japan.

Authors:  Naohiro Yonemoto; Akiko Kada; Hiroyuki Yokoyama; Hiroshi Nonogi
Journal:  J Int Med Res       Date:  2018-03-01       Impact factor: 1.671

9.  Acute mental health service use is increased in rheumatoid arthritis and ankylosing spondylitis: a population-based cohort study.

Authors:  Bindee Kuriya; Vivian Tia; Jin Luo; Jessica Widdifield; Simone Vigod; Nigil Haroon
Journal:  Ther Adv Musculoskelet Dis       Date:  2020-06-07       Impact factor: 5.346

10.  Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis.

Authors:  Prashanth Sunkureddi; Dawn Gibson; Stephen Doogan; John Heid; Samir Benosman; Yujin Park
Journal:  Adv Ther       Date:  2018-02-15       Impact factor: 3.845

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  1 in total

Review 1.  Diagnostic delay in axial spondyloarthritis: a systematic review.

Authors:  Charles A Hay; Jon Packham; Sarah Ryan; Christian D Mallen; Alexandros Chatzixenitidis; James A Prior
Journal:  Clin Rheumatol       Date:  2022-02-19       Impact factor: 3.650

  1 in total

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