Literature DB >> 33262665

Clinicodemographic Profiles of Rheumatoid Arthritis Patients from a Single Center in Saudi Arabia.

Yasser Mohammed Bawazir1.   

Abstract

PURPOSE: Rheumatoid arthritis (RA), if left untreated, can lead to joint damage and deformity, disability, and even death. Hence, early diagnosis and management are essential to improve clinical and functional outcomes. This study aimed to identify the most common variables and risk factors related to RA activity among patients living in the Kingdom of Saudi Arabia (KSA). PATIENTS AND METHODS: This study was conducted between January 2018 and March 2019 on consecutive patients diagnosed with RA at a tertiary care hospital in KSA. Adult patients (≥18 years old) diagnosed with RA based on the American College of Rheumatology 2010 criteria were recruited. The Disease Activity Score-28 for Rheumatoid Arthritis with CRP (DAS28-CRP) and health assessment questionnaire disability index (HAQ-DI) were calculated for 75 patients attending the rheumatology clinic during the study period to evaluate the rate of remission and functional capacity, and to compare findings with other local studies after assessing the relationship of these factors with medication use and existing comorbidities.
RESULTS: The majority of the 75 patients were female (n=64), with a mean age of 49.7 years and average disease duration of 130 days. The median HAQ-DI was less than 0.5 (range 0-1.95). The DAS28-CRP scores revealed moderate disease activity in 45.3% and low disease or remission in 38.6% of the patients. Many patients (45.3%) were treated with methotrexate, and the most commonly used biological treatment was adalimumab in 14.6%. Comorbidities included hypertension (26.7%) and diabetes mellitus (18.7%). There was a strong association between cardiovascular diseases and a high DAS28-CRP score (p < 0.001).
CONCLUSION: A higher RA activity rate was observed. This may be related to difficultly accessing rheumatology clinics in our facility and financial difficulties accessing biological treatments.
© 2020 Bawazir.

Entities:  

Keywords:  DAS28-CRP; DMARD; HAQ-DI; biologics; comorbid conditions; rheumatoid arthritis

Year:  2020        PMID: 33262665      PMCID: PMC7700089          DOI: 10.2147/OARRR.S277956

Source DB:  PubMed          Journal:  Open Access Rheumatol        ISSN: 1179-156X


Introduction

Rheumatoid arthritis (RA) is a chronic auto-immune disease with no cure. However, early diagnosis and treatment with disease-modifying antirheumatic drugs (DMARDs) can help modulate the erosive nature of RA by reducing joint damage and deformity and decreasing the number of flares (periods of high RA disease activity or symptoms).1 The European League Against Rheumatism (EULAR) has differentiated the phases through which RA develops. According to the EULAR, the presence of genetic, hormonal, and environmental risk factors leads to RA-related systemic or whole body autoimmunity, starting with symptoms without clinical arthritis, then unclassified arthritis, and finally RA.2 Bone damage starts before the clinical onset of arthritis in patients with anti-citrullinated protein antibodies (ACPA), during which time clinicians can provide an early diagnosis for patients who are at risk for developing RA and recommend aggressive treatment to control RA.1,3 Several cross-sectional, epidemiological studies that assess demographic and clinical variables associated with high RA disease activity are available.4,5 Nonetheless, studies in the Kingdom of Saudi Arabia (KSA) have been limited. A literature review on studies of RA in KSA between 2015 and 2019 conducted by Almoallim et al6 identified 43 studies; however, a suboptimal epidemiological result was reported regarding the exact prevalence of RA in the KSA. Hence, the results remain unclear and the review identified only one study published a decade ago involving one particular region and a small sample size. In 2015, a cross-sectional survey, followed by a clinical assessment, was conducted to estimate the incidence of RA in Taif City, KSA. According to the study by Albishri et al,7 of the 722 completed surveys received, 16 were identified as potential patients with RA, and 12 were confirmed to have RA upon clinical examination, with the majority being female. This increase in the number of RA cases compared to previous estimates could possibly indicate an increasing incidence of RA in the KSA. A cross-sectional study performed by Almoallim et al8 aimed to identify the most validated variables for indicating an early referral to a rheumatologist by aprimary care physicians (PCP) based on a patient’s demographic characteristics, symptoms, physical examination, and biomarkers. The variables that indicated referrals were loss of appetite as well as swelling and tenderness in the joints of the fingers and/or wrist, followed by a positive test for rheumatoid factor and anti-citrullinated protein antibodies. However, the lack of discussion of final diagnosis, small study size, and single-center design limits the generalizability of the study’s findings. A recent article on the use of complementary medicine among RA patients in the KSA revealed that 47% of participants (n=293) frequently used vitamin D supplementation, followed by calcium supplementation (37%), and an improved disease activity was found to be significantly higher in patients receiving complementary medicine and those with a higher erythrocyte sedimentation rate (ESR) level.9 Another recent multicenter epidemiological study on the prevalence and treatment patterns of RA in five countries, including the KSA and the United Arab Emirates, revealed that educated married women who were non-smokers with average disease duration of 10 years comprised the majority of the study population. Further, more than 80% of the patients with RA were prescribed methotrexate (MTX) and steroids.10 Based on this literature review, there is still a gap with respect to the identification of valuable predictors of RA based on patient demographics and clinical variables for early diagnosis and optimal management. Hence, in this study, we aimed to identify the most common variables related to RA in the KSA and to assess the rate of disease remission using the Disease Activity Score-28 for Rheumatoid Arthritis with CRP (DAS28-CRP) and health assessment questionnaire disability index (HAQ-DI).

Patients and Methods

This study was conducted between January 2018 and March 2019 using data from consecutive patients diagnosed with RA in our tertiary care hospital in the KSA. The study was conducted in two phases: the first phase was a retrospective chart review in which patients diagnosed with RA by a rheumatologist, and who fulfilled the ACR/EULAR 2010 classification criteria of rheumatoid arthritis,11 were enrolled. Patients with overlap syndrome, coexisting connective tissue disease, and those younger than 18 years old were excluded from the study. In this retrospective phase, several variables collected, including patient demographic data, disease duration, current medications, and comorbidities that developed after the diagnosis of RA, such as cardiovascular disease (CVD), hypertension (HTN), hypothyroidism, osteoporosis, and diabetes mellitus (DM). The second phase was a comparative cross-sectional study, in which 75 patients selected from the first phase were contacted to visit the clinic for measurement of disease activity and functional capacity. The DAS28-CRP scoring system was used to assess disease activity. This scoring system was validated by the European League Against Rheumatism (EULAR) using the following objective measures: number of tender joints, number of swollen joints, the patient global health assessment, and serum C-reactive protein (CRP). Remission was defined as a score between 0 and <2.6, low activity from 2.6 to <3.2, moderate activity from 3.2 to ≤5.1, and high activity at >5.1.12 The CRP measurement was collected on the same day as the clinic visit using BN II nephelometer technology and a hs-CRP kit (Siemens – Germany). Functional disability was assessed using the Arabic validated health assessment questionnaire disability index (HAQ-DI). Eight categories with 20 functions, such as dressing, eating, reaching, and walking in the last week, were scored as follows: 0 = without difficulty, 1 = with some difficulty, 2 = with much difficulty, and 3 = unable to perform. Scores were recorded in 0.125 increments. Higher scores indicated worse functional capacity, with 0 indicating no functional impairment and 3 indicating complete impairment.13,14 The aim of this study was to assess the RA remission rate in our institution, and compare that with other centers in the region, while also assessing the relationship between the disease activity, functional capabilities, and other comorbidities. We also aimed to elucidate patient demographics and the most common medications used in our center. This study received ethical approval from the ethics committee of our institution (Reference No. 531–19), written informed consent was obtained from all patients, and the study complied with the Declaration of Helsinki.

Results

A total of 75 RA patients, 11 males (14.7%) and 64 females (85.3%), were enrolled. The average age of the patients was 49.7 years (range: 21–80 years) with 56% of the patients less than 50 years of age. Seropositive disease was identified in 45 patients (60%), with a positive rheumatoid factor (RF) in 44 patients (58.6%) and anti-citrullinated peptide antibodies (ACPA) in 40 patients (53.3%). The majority (73%) of patients were married. The patients had an average of four children; most had at least two children. Furthermore, the majority (79%) of patients had not had miscarriages, and eight patients had had one miscarriage. When nationality was considered, 55% of the patients were from Saudi Arabia, 19% from Yemen, 12.0% from Africa, 12.0% from Asia, and 2% from Palestine and Syria. The average duration of illness was 130 days, with a maximum of 1296 days. The average HAQ-DI score was 0.5 (range 0–1.95). The average TJC and SJC scores were 1. Using the DAS28-CRP to assess the disease activity, we found that 45.3% of patients were moderately active, 16% were highly active, and 38.6% had remission or low activity levels (Table 1).
Table 1

Demographic Characteristics of the Patients

Demographic CharacteristicsFrequencyPercentage (%) or Range
Sex
 Male1114.7
 Female6485.3
Age group (years)
 ≤422128.0
 43–502128.0
 51–581621.3
 ≥591722.7
 Mean age (years) (range)49.7 (21–80)
Children
 ≤22938.7
 3–62634.7
 ≥72026.7
 Mean (range)4 (0–12)
Marital status
 Single1216.0
 Married5573.3
 Divorced22.7
 Widowed68.0
Nationality
 Saudi Arabian4154.7
 African912.0
 Palestinian Syrian22.7
 Asian912.0
 Yemeni1418.7
 Duration of illness (days) (mean±SD), range129.64±162.091–1296
 HAQ (mean±SD), range0.62±0.500.00–1.95
 Tender joint counts (mean±SD), range3.84±5.500–20
 Swollen joint counts (mean±SD), range2.41±4.260–20
DAS28-CRP
 Low activity/remission2938.6
 Moderate activity3445.3
 High activity1216

Abbreviations: DAS28-CRP, Disease Activity Score of 28 joints with C-Reactive Protein; HAQ-DI, health assessment questionnaire disability index; SD, standard deviation.

Demographic Characteristics of the Patients Abbreviations: DAS28-CRP, Disease Activity Score of 28 joints with C-Reactive Protein; HAQ-DI, health assessment questionnaire disability index; SD, standard deviation. With regards to comorbidities, one patient (1.3%) had osteoporosis, indicated by decreased bone mineral density (BMD), eleven (14.7%) had hypothyroidism, five (6.7%) had a history of CVD, specifically ischemic heart disease, fourteen (18.7%) had DM, 20 (26.7%) had HTN, and one (1.3%) was diagnosed with cancer. Medication use was as follows: 55 patients (73.3%) were on conventional DMARDs as a monotherapy or in combination, 34 (45.3%) used MTX, 24 (32%) used hydroxychloroquine, 6 (8%) were on sulfasalazine, and 14 (18.6%) used leflunomide. Some patients required a treatment for acute flares, as a consequence, 22 patients used prednisolone, and 4 patients used nonsteroidal anti-inflammatory drugs (NSAIDs) (Figure 1). Nineteen patients received biological treatments as following: 11 on adalimumab, 3 used etanercept, and 5 used rituximab (Table 2).
Figure 1

Schematic representation of the medications used to treat the patients included in the study.

Table 2

Medications of the Sample Patients with Rheumatoid Arthritis (Number of Patients)

MedicationsMonotherapyCombinationTotal
DMARDs183755
Methotrexate122234
Leflunomide21214
Sulfasalazine156
Hydroxychloroquine32124
Prednisone22022
NSAIDs224
Biological treatments51419
Adalimumab11011
Etanercept303
Rituximab145

Abbreviations: DMARDs, disease-modifying antirheumatic drugs; NSAIDs, nonsteroidal anti-inflammatory drugs.

Medications of the Sample Patients with Rheumatoid Arthritis (Number of Patients) Abbreviations: DMARDs, disease-modifying antirheumatic drugs; NSAIDs, nonsteroidal anti-inflammatory drugs. Schematic representation of the medications used to treat the patients included in the study. Using the DAS-28- CRP as an assessment tool for our patients revealed that the majority of the patients, 34 (45.3%), had moderate disease activity, with 28 patients on DMARDs and 6 on biological treatment, whereas 29 patients had low disease activity or remission, which represented 38.6% of the study population. There was no statistical difference between the various medication groups and disease activity (Table 3).
Table 3

Patient Medications and Activity Level According to the DAS28-CRP Scale

MedicationRemissionLow ActivityModerate ActivityHigh ActivityP-value
No.No.No.No.
DMARDs1552870.393
Methotrexate1241440.812
Leflunomide22820.438
Sulfasalazine40110.231
Hydroxychloroquine521430.432
Prednisone811120.728
NSAIDs20200.722
Biological71650.137
Adalimumab30530.289
Etanercept21000.185
Rituximab20120.206

Abbreviations: DMARDs, disease-modifying antirheumatic drugs; DAS28-CRP, Disease Activity Score of 28 joints with C-Reactive Protein.

Patient Medications and Activity Level According to the DAS28-CRP Scale Abbreviations: DMARDs, disease-modifying antirheumatic drugs; DAS28-CRP, Disease Activity Score of 28 joints with C-Reactive Protein. We analyzed the association of RA disease activity using the DAS28 and other comorbidities including DM, HTN, osteoporosis, CVD, hypothyroidism, and cancer. There was more CVD among the high activity group (p < 0.001) (Table 4).
Table 4

Activity Level and Patient Comorbidities

RemissionLow ActivityModerate ActivityHigh Activityp-value
No.%No.%No.%No.%
Diabetes MellitusNot diseased1931%711%2846%711%0.466
Diseased536%00%643%321%
HypertensionNot diseased1527%713%2545%815%0.239
Diseased945%00%945%210%
OsteoporosisNot diseased2331%79%3446%1014%0.541
Diseased1100%00%00%00%
HypothyroidismNot diseased2031%58%2945%1016%0.411
Diseased436%218%545%00%
Cardiovascular diseasesNot diseased2333%710%3449%69%<0.001
Diseased120%00%00%480%
CancerNot diseased1333%38%1845%615%0.577
Diseased1100%00%00%00%
Activity Level and Patient Comorbidities The median HAQ-DI score for our patients was 0.5. We did not find a statistically significant relationship between the high scores and the type of medication (Table 5). Moreover, there was no statistically significant relationship between HAQ-DI and comorbidities (Table 6).
Table 5

Relationship Between the HAQ-DI Score and Patients’ Routine Medications

MedicationLess Difficulty (Less Than Median 0.5)More Difficulty (More Than Median 0.5)p-value
No.No.
DMARDs31240.090
Methotrexate17171
Leflunomide680.515
Sulfasalazine420.394
Hydroxychloroquine14100.321
Prednisone11110.939
NSAIDs120.539
Biological (Total)1180.556
Adalimumab740.351
Etanercept120.539
Rituximab320.714

Abbreviations: HAQ-DI, health assessment questionnaire disability index; DMARDs, disease-modifying antirheumatic drugs; NSAIDs, nonsteroidal anti-inflammatory drugs.

Table 6

Relationship Between HAQ-DI Scores and Patient Comorbidities

Less Difficulty (Less Than Median)More Difficulty (More Than Median)p-value
No.No.
Diabetes mellitusNot Diseased29310.553
Diseased86
HypertensionNot Diseased27271
Diseased1010
OsteoporosisNot Diseased36370.314
Diseased10
HypothyroidismNot Diseased32310.744
Diseased56
Cardiovascular diseasesNot Diseased36330.165
Diseased14
CancerNot Diseased22180.276
Diseased01

Abbreviation: HAQ-DI, health assessment questionnaire disability index.

Relationship Between the HAQ-DI Score and Patients’ Routine Medications Abbreviations: HAQ-DI, health assessment questionnaire disability index; DMARDs, disease-modifying antirheumatic drugs; NSAIDs, nonsteroidal anti-inflammatory drugs. Relationship Between HAQ-DI Scores and Patient Comorbidities Abbreviation: HAQ-DI, health assessment questionnaire disability index.

Discussion

Given that early diagnosis and prompt management of RA can modulate the erosive and prevalent nature of RA, identification of common variables based on patient demographics and physical examinations is essential. Hence, we conducted this prospective cross-sectional study to classify the most common variables or risk factors related to RA disease activity and remission among RA patients using the DAS28-CRP in evaluating disease activity and remission status in a sample population. This study was conducted at the King Abdulaziz University Hospital in Jeddah, Saudi Arabia, a country in which the prevalence of rheumatoid arthritis is 2.2 per 1000 cases.15 The majority of our study participants were native to Saudi Arabia, followed by Yemenis, Africans, Palestinians, and Asians. The majority of our patients were females with an average age of 49.7 years, and most were married. The average disease duration was 130 days. These demographic data are consistent with previously reported demographics of RA patients in Saudi Arabia.6 Using the DAS28-CRP as a predictor to identify low disease activity and remission rates, we found that only 38.6% (29 patients) had disease remission. This is comparable to the results of Barnabe et al who reported 37% remission rate.16 Conversely, Almoallim et al conducted a study in a tertiary hospital in Saudi Arabia and reported a remission rate of 79.6% using DAS28-CRP.17 This difference can be attributed to an early referral system, as the study was conducted at a private, insurance-based hospital in which the waiting time to access the rheumatology clinic is short compared to that in a general governmental hospital, which requires a longer wait time to access clinics. The major medications used to treat our sample population were conventional disease-modifying antirheumatic drugs (csDMARDs) in 73.3% with methotrexate as the most common (45.3%) followed by hydroxychloroquine (32%), leflunomide (18.6%), and sulfasalazine (8%). Biological treatment was used in 25.3% of the patients with adalimumab as the most common treatment (14.6%), followed by rituximab (6.6%) and etanercept (4%). These findings are comparable with a similar study conducted in a Saudi private hospital in which csDMARDs were used in 70% of the patients, whereas the use of non-conventional DMARDs treatment was higher than our study population with tofacitinib as the most common medication followed by adalimumab and etanercept.17 Biological and small molecular treatments differ from center to center in the KSA, especially when comparing a private hospital with a general public hospital. Patients in private, insurance-based hospitals have the privilege to access biological treatments more easily and yet, financial issues appear to be a major factor that can interfere with biological treatment compliance in private Saudi hospitals for those not covered by insurance.18 Regarding the correlation of the disease activity using the DAS28-CRP with the medications used to treat our patients, 51% of the patients on csDMARDs had moderate disease activity, whereas those on biological treatment had a 42% remission rate. Similarly, data from the DANBIO registry in Denmark showed that patients on anti-tumor necrosis factor alpha (anti-TNFα) had higher remission rates compared to csDMARDs alone.19 Consequently, the British Society of Rheumatology recommendations tend toward starting biological treatment during the early course of the disease.20 With respect to comorbid diseases, HTN was most commonly observed in our study group, followed by diabetes mellitus, hypothyroidism, osteoporosis, and cancers. However, none of these diseases were significantly associated with RA disease activity. Our findings were consistent with those of another study in which a statistical relationship between HTN and RA was difficult to establish.21 This was also consistent with a cross-sectional, retrospective analysis of 340 RA patients in Saudi Arabia in which HTN, the most common comorbidity, was present in 35.9% of the patients followed by DM in 30.9% and osteoporosis in 25.8%.6,22 Rheumatoid arthritis was associated with a 50% increased risk of CVD with a relative risk of 1.48, and indeed, the mortality of rheumatoid patients increased by 39.6% secondary to CVD.23 Moreover, an association between rheumatoid arthritis and cardiovascular diseases, especially ischemic heart disease (IHD), was identified in a cross-sectional study involving 340 Saudi patients.22 To investigate the risk factors of CVD in RA, a Swedish case-control study on 138 rheumatoid patients found a strong association with high disease activity using DAS28-CRP.24 This finding was consistent with our results of strong association between CVD and RA disease activity (P = 0.001) (Table 4). The HAQ-DI is the standard and most commonly used tool for evaluating functional status in RA patients. When HAQ-DI scores were compared with DAS28-CRP scores, the median HAQ-DI score was 0.5, and the majority of our study population had moderate disease activity based on the DAS28-CRP score. Given that HAQ-DI values from 0 to 1 denote mild to moderate disability, we concluded that the DAS28-CRP scores in our study corresponded to the mean HAQ-DI values. Our findings were contradictory to those of Hansen et al,1 who reported that although HAQ values correspond to DAS28 scores among controls, there was no correlation in the patient group. However, this result may be due to the small numbers included in the patient group and their better functional status with moderate activity. Similarly, in the current study, we observed an association between the presence of comorbid diseases such as hypertension and hypothyroidism and higher HAQ-DI values among the sample population (Table 6), which was not statistically significant. Our finding is consistent with that of Krishnan et al25 regarding that advanced age and comorbidities can affect the HAQ-DI scores in patients with RA. The majority of the study participants with RA were over 40 years of age, and several studies have highlighted that the onset of RA can occur earlier between the ages of 20 and 40 years as well as in older ages (≥60 years).26 However, a late onset of RA and higher DAS28-CRP and HAQ-DI scores at baseline can result in a higher disease activity, which is consistent with our study sample.27 We Identified a higher disease activity, and lower remission rates, among rheumatoid arthritis patients at our center. Fewer patients used biological DMARDs compared to other centers in the same country. Most of our patients are non-Saudi residents who are not covered by governmental insurance for biological treatments, which likely impacted their treatment plans. Participation of private insurance or charities may help these patients achieve a lower disease activity and improve their quality of life.

Limitations

This study had several limitations. First, a small sample size and single center-based design may have led to a biased result. Second, patient assessment was conducted at only one time point and further follow-ups were not performed due to a lack of resources and funding. However, selection bias was avoided as this study included all RA patients who received medical care from our rheumatology outpatient department, except for second opinion cases who did not receive any medical treatment from our institution.
  26 in total

1.  The effect of different remission definitions on identification of predictors of both point and sustained remission in rheumatoid arthritis treated with anti-TNF therapy.

Authors:  Cheryl Barnabe; Joanne Homik; Susan G Barr; Liam Martin; Walter P Maksymowych
Journal:  J Rheumatol       Date:  2014-07-15       Impact factor: 4.666

2.  The Health Assessment Questionnaire (HAQ).

Authors:  B Bruce; J F Fries
Journal:  Clin Exp Rheumatol       Date:  2005 Sep-Oct       Impact factor: 4.473

3.  Rheumatoid arthritis in elderly and young patients.

Authors:  Ariane Carla Horiuchi; Luiz Henrique Cardoso Pereira; Bárbara Stadler Kahlow; Marilia Barreto Silva; Thelma L Skare
Journal:  Rev Bras Reumatol Engl Ed       Date:  2015-10-27

4.  Three years experience with the prescription of anti-TNF-alpha inhibitors at Dr Soliman Fakeeh Hospital in Jeddah, Saudi Arabia.

Authors:  Hatem Hamdi Eleishi; Nader Farid Toma; Moustapha Cherif Chaki; Hanan Rabee Nada
Journal:  Int J Rheum Dis       Date:  2009-04       Impact factor: 2.454

5.  Rheumatoid Arthritis Saudi Database (RASD): Disease Characteristics and Remission Rates in a Tertiary Care Center.

Authors:  Hani Almoallim; Rola Hassan; Mohamed Cheikh; Hanan Faruqui; Reem Alquraa; Ayman Eissa; Aous Alhazmi; Roaa Alsolaimani; Nahed Janoudi
Journal:  Open Access Rheumatol       Date:  2020-08-06

6.  Bone loss before the clinical onset of rheumatoid arthritis in subjects with anticitrullinated protein antibodies.

Authors:  Arnd Kleyer; Stephanie Finzel; Jürgen Rech; Bernhard Manger; Manuel Krieter; Francesca Faustini; Elisabeth Araujo; Axel J Hueber; Ulrike Harre; Klaus Engelke; Georg Schett
Journal:  Ann Rheum Dis       Date:  2013-03-21       Impact factor: 19.103

7.  The prevalence of rheumatoid arthritis in the Qassim region of Saudi Arabia.

Authors:  A Al-Dalaan; S Al Ballaa; S Bahabri; T Biyari; M Al Sukait; M Mousa
Journal:  Ann Saudi Med       Date:  1998       Impact factor: 1.526

8.  Epidemiology and treatment patterns of rheumatoid arthritis in a large cohort of Arab patients.

Authors:  Soha R Dargham; Sumeja Zahirovic; Mohammed Hammoudeh; Samar Al Emadi; Basel K Masri; Hussein Halabi; Humeira Badsha; Imad Uthman; Ziyad R Mahfoud; Hadil Ashour; Wissam Gad El Haq; Karim Bayoumy; Marianthi Kapiri; Richa Saxena; Robert M Plenge; Layla Kazkaz; Thurayya Arayssi
Journal:  PLoS One       Date:  2018-12-19       Impact factor: 3.240

9.  Prevalence of complementary and alternative medicine use among rheumatoid arthritis patients in Saudi Arabia.

Authors:  Aseel M Almuhareb; Tariq M Alhawassi; Ahmed A Alghamdi; Mohammed A Omair; Hussain Alarfaj; Abdulrahman Alarfaj; Bedor A Alomari; Maysoon S Alblowi; Haya M Almalag
Journal:  Saudi Pharm J       Date:  2019-07-08       Impact factor: 4.330

10.  Prevalence of comorbidities in rheumatoid arthritis and evaluation of their monitoring: results of an international, cross-sectional study (COMORA).

Authors:  Maxime Dougados; Martin Soubrier; Anna Antunez; Peter Balint; Alejandro Balsa; Maya H Buch; Gustavo Casado; Jacqueline Detert; Bassel El-Zorkany; Paul Emery; Najia Hajjaj-Hassouni; Masayoshi Harigai; Shue-Fen Luo; Reka Kurucz; Gabriel Maciel; Emilio Martin Mola; Carlo Maurizio Montecucco; Iain McInnes; Helga Radner; Josef S Smolen; Yeong-Wook Song; Harald Erwin Vonkeman; Kevin Winthrop; Jonathan Kay
Journal:  Ann Rheum Dis       Date:  2013-10-04       Impact factor: 19.103

View more
  3 in total

1.  Patterns of Response to Different Treatment Strategies in Seropositive Rheumatoid Arthritis Patients in a Tertiary Hospital in South-Western Saudi Arabia: A Retrospective Study.

Authors:  Mohammed AlOmair; Hanan AlMalki; Nouf AlShamrani; Ghadah Habtar; Maram AlAsmari; Wejdan Mobasher; Hanan AlQahtani; Aydah Rahman; Alhussain Asiri
Journal:  Open Access Rheumatol       Date:  2021-08-14

2.  Demographic and Clinical Characteristics of Patients with Sustained and Switching Treatments Using Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs: A Multicenter, Observational Cross-Sectional Study for Rheumatoid Arthritis.

Authors:  Sebnem Ataman; Ismihan Sunar; Hatice Bodur; Meltem Alkan Melikoglu; Hasan Fatih Cay; Erhan Capkin; Ozgur Akgul; Remzi Cevik; Feride Gogus; Ayhan Kamanli; Fatma Gul Yurdakul; Gulcan Gurer; Ilker Yagci; Aylin Rezvani; Mehmet Tuncay Duruoz
Journal:  Rheumatol Ther       Date:  2021-12-01

3.  Prevalence of Hypertension and Its Associated Risk Factors Among Patients with Rheumatoid Arthritis in the Kingdom of Saudi Arabia.

Authors:  Abdullah K Al-Ahmari
Journal:  Int J Gen Med       Date:  2022-08-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.