[1] RA significantly affects women more than men
with interrelated genetic, environmental, and hormonal perpetuating factors. As
RA can early cause radiographic-based joint changes, reliable, affordable,
diagnostic, and discriminative prognosticators with high performance,
specificity, positive predictive value, and accuracy are required to initiate
DMARDs as soon as possible before more advanced articular destruction and
systemic complications have ensued. [2]
The emphasis in the management of RA is early
diagnosis and intervention. The hypothesis on which this approach is based is
that a possibility of altering the disease process with early intervention. [3]Although the 2010
American College of Rheumatology (ACR) and the European League Against
Rheumatism (EULAR) put forward revised classification criteria emphasizing RA
characteristics that emerge early in the disease course, including
anti-citrullinated protein antigens (ACPAs), a biomarker that predicts aggressive
disease, the main purpose of these criteria was to distinguish RA from other
forms of arthritis, rather than to identify and diagnose patients with RA in
the earlier stages of disease when they might benefit most from intervention [4-5].American
College of Rheumatology (ACR) criteria for the classification of RA can
diagnose an established active RA disease with good sensitivity (~92%) and
specificity (89%) after meeting at least 4 criteria from a total 7, it has a
poor early diagnostic performance and many pathogeomonic features of
arthropathies such as RA, e.g., deformity and nodules, are related to
chronicity and are absent at presentation. [6-7]
While the diagnosis of RA relies primarily on
patient history, radiographic evidence of joint damage, and routine positive
acute phase reactants investigations of c-reactive protein (CRP) and
erythrocyte sedimentation rate (ESR), RA approved specific laboratory testing
of rheumatoid factor (RF) and anti-citrullinated protein antigens (ACPAs) can
assist in early diagnosis and differentiating RA from other rheumatic diseases
that present with poly-articular arthritis, for establishing an early
therapeutic plan before irreversible damage and when treatment is most
effective in preserving function.[8-9]
Although RF has been widely used as a
screening and diagnostic test for patients with clinically diagnosed arthritis,
it has a poor diagnostic performance with low sensitivity and moderate
specificity when used alone. [10-11]More
recently, a more RA diagnostic and prognosticator specified lab test has been
introduced into clinical practice with a sensitivity of 68% and a specificity
>97%. [12-13] ACPAs test is a highly specific antibody that
develops to citrullinated arginine residues in RA patients in which is probably
be positive in up to 45% of RF negative patients. [11-12]Our objective was to test the hypothesis that
ACPAs has greater diagnostic and prognostic
performances than RF in RA patients and to determine the optimal cutoff points
for both tested prognosticator in our tested RA Jordanian patients.
MATERIALS AND METHODS
A retrospective study was
conducted on Royal Rehabilitation Center at the Royal Medical Services Hospital
for patients who were seen at the rheumatology clinic from Dec 2018 till Mar
2020 whose clinical symptoms and signs indicated RA. After the baseline demographics,
diagnostics, radiographics, and the required lab chemistries were obtained from
our institutional electronic health record (Hakeem), the retrospective
collected data were divided into 2 groups: Radiologically Confirmed RA patients
(Group I) and Radiologically Non-Confirmed RA patients (Group II). The study
was reviewed and approved by the standing committee for coordination of health
and medical research at the Royal Medical Services (Ref # 41_06/2021).
All RA symptomatic patients met at least 4
out 7 of ACR criteria and all were naïve to disease-modifying anti-rheumatic
drugs (DMARDs). Any patient who had missing data was excluded from our study.
The patient's Functional assessment was measured using the Health Assessment
Questionnaire (HAQ). ACPAs were measured using a commercially available
enzyme-linked immunosorbent assay (ELISA), while RFs were quantified based on
immunoenzymatically determination of IgM rheumatoid factors which is also based
on the ELISA technique. X-rays of affected joints were taken at baseline, 4-6,
and 8-12 months and reported by our institutional radiologists.
All
RA patient’s collected data were expressed as Mean± SD, Median (Range), or as
numbers with percentages by using the Independent Samples T-Test and Independent
Whitney U Test or χ2 Test for parametric and non-parametric data,
respectively. Tested variables analyses were compared for the two compared
groups (Radiologically Confirmed RA patients and Radiologically Non-Confirmed
RA patients). Of important comparative variables, including ACPAs, RFs, acute
phase reactants of CRP and ESR, hemoglobin levels, and symptomatic durations.
The diagnostic and prognostic performance of RF vs ACPAs will be explored by a
sensitivity analysis using receiver operating characteristic (ROC) curve
interpretation to determine the area under the ROC curves (AUROCs), Youden’s
indices, sensitivities, specificities, positive and negative predictive values,
and the optimal cut-off values for the two tested prognosticators. Statistical
analyses were performed using IBM SPSS ver. 25 (IBM Corp., Armonk, NY, USA) and
P-values ≤0.05 were considered statistically significant.
Conflict
of interest and financial disclosure statement: None declared.
RESULT
Three hundred and twenty-eight patients were
included in the study. 176 symptomatic patients (53.66%) according to ACR
classification criteria had a confirmed radiological diagnosis of RA at
follow-up for at least 1 year. The mean age of the whole study cohort was
58.37±9.96 years, and the RA patients in Radiologically Confirmed RA Group
(Group I) were insignificantly older than the RA patients in Radiologically
Non-Confirmed RA Group (Group II) [58.55±9.948 years versus 58.09±10.053 years,
respectively, p-Value=0.917). Significantly, males were distributed in the
study in approximately 1.12: 1 ratio compared to female [155 (47.25%) versus
173 (52.74%), respectively, p-Value=0.003] in which 27.27% (48 RA affected men)
and 63.64% (112 RA affected women) were belonged to the Group I compared to
70.39% (107 RA affected men) and 29.61% (45 RA affected women) were belonged to
the Group II.CRP, ESR, RF, and ACPAs were significantly higher in
radiologically confirmed RA cohort than radiologically non-confirmed RA cohort
with Mean±SD of 27.69±2.54 mg/dl, 48.42±6.12
mm/hr, 101.36±18.91 IU/ml, and 167.34±21.23 IU/ml versus 8.29±3.77 mg/dl, 23.09±4.87 mm/hr, 67.53±12.75 IU/ml, and 48.81±17.41 IU/ml, respectively. In contrast, both
hemoglobin levels and duration of symptoms in months were significantly lower
in Group I compared with Group II with Mean ±SD of 12.55±2.09 g/dl and 13.21±8.95 months versus 13.89±3.12 g/dl and 14.11±7.89 months.
There were insignificant differences between
the two tested groups regarding anthropometrics and Health Assessment
Questionnaires. Comparative patients ‘data results are fully summarized in Table 1
Table I.Baseline and follow-up data of the
comparative studied RA patients.
|
Variables
|
Total
(N=328)
|
Radiologically
Confirmed RA
(N=176)
|
Radiologically
Non-Confirmed RA
(N=152)
|
P-Value
|
Age (Yrs)
|
58.37±9.96
|
58.55±9.948
|
58.09±10.053
|
0.917
NS
|
Gender
|
Male
|
155 (47.25%)
|
48 (27.27%)
|
107 (70.39%)
|
0.003
S
|
Female
|
173 (52.74%)
|
112 (63.64%)
|
45 (29.61%)
|
Female: Male Ratio
|
1.12:1
|
2.33:1
|
0.42:1
|
BW (Kg)
|
74.17±10.24
|
74.63±10.06
|
73.45±10.56
|
0.609
NS
|
BMI (Kg/m²)
|
25.92±4.00
|
26.19±3.85
|
25.50±4.22
|
0.311
NS
|
CRP (mg/dl)
|
17.94±3.12
|
27.69±2.54
|
8.29±3.77
|
0.01
S
|
ESR (mm/h)
|
37.12±8.98
|
48.42±6.12
|
23.09±4.87
|
0.005
S
|
RF Level (IU/ml)
|
85.89±16.20
|
101.36±18.91
|
67.53±12.75
|
0.02
S
|
ACPAs
Level (IU/ml)
|
109.08±18.11
|
167.34±21.23
|
48.81±17.41
|
0.000
S
|
Duration of symptoms (months)
|
13.87±9.05
|
13.21±8.95
|
14.11±7.89
|
0.04
S
|
Hg (g/dl)
|
13.32±3.99
|
12.55±2.09
|
13.89±3.12
|
0.01
S
|
Median HAQ
|
0.8 (1.2)
|
1.1 (1.3)
|
0.9 (1.1)
|
0.779
NS
|
Values are presented as Mean ± SD and median (range)
or as Median (IQR) or as number (%) by using the Independent Samples T-Test
and Independent Whitney U Test or χ2 Test for parametric and non-parametric
data, respectively.
|
N: Number of study’s critically ill patients.
BMI: Body mass index.
BW: Bodyweight
S: Significant (P-Value <0.05).
NS: Non-significant (P-Value >0.05).
|
ESR: Erythrocyte sedimentation rate.
RF: Rheumatoid factor.
ACPAs: anti-citrullinated protein antigens.
|
CRP: C-reactive protein.
Hg: Hemoglobin.
HAQ: Health Assessment questionnaire.
|
The optimal cut-off point, sensitivity (TPR),
specificity (TNR), Youden’s index (YI), positive and negative predictive values
(PPV and NPV), negative likelihood ratio (NLR), and accuracy index (AI) of the
two tested prognosticators among the two stratified compared groups are fully
illustrated in Table II. The best diagnostic cut-off
Table II. Sensitivity, specificity, positive and negative predictive
values, youden’s and accuracy indices of the two tested prognosticators.
|
Prognostic Indicator
|
Cutoff Values
|
TPR
|
FPR
|
YI
|
TNR
|
PPV
|
NPV
|
NLR
|
AI
|
|
RF
|
69.55
|
75.00%
|
27.30%
|
47.70%
|
72.70%
|
63.98%
|
81.81%
|
34.39%
|
73.60%
|
|
ACPAs
|
89.21
|
84.40%
|
3.00%
|
81.40%
|
97.00%
|
94.79%
|
90.58%
|
16.08%
|
92.05%
|
|
RF: Rheumatoid factor.
ACPAs: anti-citrullinated protein antigens.
TPR: True positive rate (sensitivity)
FPR: False positive rate.
TNR: True negative rate (Specificity).
|
PPV:
Positive predictive value.
NPV:
Negative predictive value.
NLR:
Negative likelihood ratio.
AI:
Accuracy index.
YI:
Youden’s index.
|
values for RF and ACPAs in our study among
studied RA patients were 69.55 IU/ml RF (Normal range (0-20 IU/ml)) and 89.21
IU/ml (Normal range up to 20 IU/ml). The AUROCs of ACPAs were significantly
higher in our studied RA patients than RF with AUC of 0.848 (95 CI,
0.801-0.894) and 0.692 (95% CI, 0.624-0.760), respectively. The ROC curve
analyses of the two tested prognosticators are fully shown in Fig 1.
DISCUSSION
The present study
included RA symptomatic patients with chronic symptoms for at least 12 months
who were seen at our rheumatology clinic from Dec 2018 till Mar 2020. To the
best of our knowledge, this is the first study in our country that compares two
common diagnosticators among two radiologically stratified Jordanian RA groups
based on diagnosis confirmation. In the context of
ever, dearth of resources, early assessment and triaging with affordable and
cost-effective discriminative predictive tools are critically wanted in this
chronic progressive affected patient.
Both CRP and ESR are
positive acute-phase reactants that are adjunctively used in the diagnosis and
following-up RA patients but with low diagnostic performance for both if they
are solely used due to falsely elevated in other rheumatology and
non-rheumatology inflammatory conditions. [13] In
contrast, more rheumatology-specific indicators of RF and ACPAs are widely used
as the primary biochemical diagnostic parameter. [14-16] While RF is a more widely used
laboratory marker than ACPAs in RA patient's diagnoses, an early combination of
both prognosticators may help establish a diagnosis in the early stages. [17-18]
While ACPAs is primarily
used for diagnostic purposes, it is also useful for prognostic and diseases
activity progression prediction at 3-10 years after onset. In most studies,
ACPAs are significantly more correlated with radiological and functional poor
RA outcomes than RF. In most studies, ACPAs and RF show comparable
sensitivities for the prediction of radiological and functional progression at
5 years, but ACPAs showed greater specificity compared with RA. Also, it is
mostly that RF+/ACPAs + patients had poorer progression than RF+/anti-CCP– and
RF–/CCP– patients at 5 years. [19-21]
In a prospective cohort study of 43 patients with RA
not responding to DMARDS treated with infliximab in combination with
methotrexate in which the serum samples collected and tested for ACPAs and RF
at baseline and after 24 weeks, serum titers of ACPAs and RF decreased
significantly after 24 weeks of treatment (ACPAs -14%; RF-20%). Significant
decreases in serum ACPAs and RF were observed only in patients with clinical
improvement but only changes in ACPAs levels were significantly positively
correlated with changes in various clinical measures of RA. [22-24]
While the
anti-CCP test is a specific marker for the diagnosis of RA. However, this
antibody also can be detected in patients with other rheumatic diseases, such
as Sjogren's syndrome, and even in healthy people. [25-27] In
a study of 405 patients originally diagnosed with primary Sjogren’s syndrome,
23 patients (5.6%) progressed to RA after a mean follow-up of 60 months. [28]
Matsui et al reported a relatively high frequency of anti-CCP
in patients with non-RA connective tissue diseases such as SLE (15%), Sjogren's
syndrome (14%), polymyositis/dermatomyositis (23%), and scleroderma (16%). [29]
Use of
the presence of either RF or anti-CCP had comparable diagnostic utility as
anti-CCP alone, but these two tests were complementary in that they increased
the sensitivity.[30-31]Our study suggests that ACPAs had a significantly higher sensitivity
(84% vs 75%), specificity (97% vs 72.7%), Youden’s index (81.4% vs 47.7%),
positive and negative predictive values (94.79% and 90.58% vs 63.98% and
81.81%, respectively), and accuracy index (92.05% vs 73.60%). In particular,
when both tested diagnosticators present, the specificity may increase to
>95%.
CONCLUSION
In conclusion, using ACPAs (Normal range up to 20 IU/ml)
in RA patients would appear to pick RF (Normal range (0-20 IU/ml)) seronegative
early-stage RA patients with significantly higher diagnostic performance and
probably higher prognosis predictive capability and so may have important
implications for RA patient’s early diagnosis and following-up. In conjunction
with the referenced studies, these findings may have a significant impact on
the overall RA patients. This study is limited by its retrospective design,
confounder effect, and using single-center data. A larger, multisite, and
prospective study is needed to control for multiple confounders.
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