MATERIALS AND METHODS: A search of relevant literature from 2014 to 2016 concerning targeted therapies in RA was conducted. The RA Update Working Group evaluated the evidence and proposed updated recommendations using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach, to describe the quality of evidence and strength of recommendations. Recommendations were finalized through consensus using the Delphi technique.
RESULTS: This update provides 16 RA treatment recommendations based on current best evidence and expert clinical opinion. Recommendations 1-3 deal with the use of conventional synthetic disease-modifying antirheumatic drugs. The next three recommendations (4-6) cover the need for screening and management of infections and comorbid conditions prior to starting targeted therapy, while the following seven recommendations focus on use of these agents. We address choice of targeted therapy, switch, tapering and discontinuation. The last three recommendations elaborate on targeted therapy for RA in special situations such as pregnancy, cancer, and major surgery.
CONCLUSION: Rheumatoid arthritis remains a significant health problem in the Asia-Pacific region. Patients with RA can benefit from the availability of effective targeted therapies, and these updated recommendations provide clinicians with guidance on their use.
OBJECTIVE: We aimed to examine the delays in the diagnosis of RA in patients presenting to the Rheumatology Unit, Sarawak General Hospital (SGH).
METHODS: Data on demographics and various delays were collected from the medical records from January 2015 until March 2018. Patient delay is defined as from the time onset of symptom to the first primary care presentation. Primary care delay is defined as from the first primary care presentation to referral to rheumatology. Rheumatology delay is defined as from rheumatology referral to appointment at the rheumatology clinic. Disease modifying anti-rheumatic drugs (DMARDS) delay is defined as from the rheumatology clinic appointment to starting DMARDS. Total delay is from symptom onset to starting DMARDS.
RESULTS: There were 84 new patients diagnosed with rheumatoid arthritis, out of which 66 were females (78.6%). The mean age was 54.1±12.0 years. Only 19 patients (22.6%) were treated with DMARDS within 12 weeks of symptom onset. The median time for patient delay was four weeks (Interquartile range (IQR) 2-20 weeks), while the median time primary care delay was 11 weeks (IQR 4-24 weeks). The median time for rheumatology delay was zero weeks (IQR 0- 1 week) and the DMARDS delay was zero week (IQR 0). The median time from symptom onset to DMARDS initiation was 23.5 weeks (IQR 13.25-51 weeks).
CONCLUSION: The delays in the diagnosis of rheumatoid arthritis were mainly from the patient and primary care.
METHODS: The review study was conducted from December 2017, to May 2018. An online search was conducted in international and local health databases using appropriate search keywords as well as scanning reference lists of related articles. Literature published after year 2000 that reported epidemiological, demographic, clinical and socioeconomic data of Pakistani rheumatoid arthritis patients was included. Meta-analysis was performed where possible. This systematic review was registered on the international prospective register of systematic reviews PROSPERO (CRD42018090582).
RESULTS: Of the 334 research articles found, 29 (8.7%) were selected. Patients were mostly females, but no study explored impact of disease on household and family role functioning of rheumatoid arthritis-affected women in Pakistan. Most patients were uneducated (55%) and unemployed; had low disease knowledge (N = 149, 74.5%) and poor adherence to disease-modifying anti-rheumatic drugs (N = 23, 23%). Point prevalence of rheumatoid arthritis reported from Karachi was high at 26.9%. Moderate disease activity, i.e., 4.5}0.7 and mild functional disability (N = 66, 51.6%) were seen in RA patients. Almost half (N = 799, 46.9%) had comorbidities. Almost a fifth proportion of RA patients had dyslipidaemia as a comorbidity (N = 134, 16.77%) and higher cardiovascular risk score as modifiable risk factor. Undiagnosed depression (N = 134, 58.3%) and low bone mineral density (N = 93, 40.6%) were reported in RA patients. Direct monthly treatment cost of disease was significantly high considering patients' socio-economic status, i.e., USD 16.47 - 100.68. Most commonly used drug was methotrexate.
CONCLUSIONS: There is a paucity of data on Pakistani rheumatoid arthritis patients' demographic and socio-economic parameters, especially the gender element.
METHODS: A prospective 1-year study was conducted in rheumatology clinics of tertiary care hospitals of Karachi, Pakistan. Cost-of-illness methodology was used and all patient data related to costs of rheumatologist visits, physical therapy sessions, medications, assistive devices and laboratory investigations were obtained directly in printed hardcopies from patient electronic databases using their medical record numbers. Transportation cost was calculated from patient-reported log books. Data were analyzed through IBM SPSS version 23. Patients were asked to sign a written consent and the study was ethically approved.
RESULTS: The mean age of patients (N = 358) was 48 years. Most patients (73.7%) were female, married (86%) and had basic education (71.8%). Average cost of rheumatologist visits was PKR 11 510.61 (USD: 72.05) while it was PKR 66 947.37 (USD: 419.07) for physical therapy sessions. On average, medicines and medical devices costs were estimated at PKR 10 104.23 (USD: 63.25) and PKR 7848.48 (USD: 49.13) respectively. Cost attributed to diagnostic and laboratory charges was PKR 1962.12 (USD: 12.28) and travel expense was PKR 6541 (USD: 40.95). The direct expenditure associated with managing RA was PKR 37 558 (USD: 235.1). All costs were reported per annum.
CONCLUSION: Patient with RA in Pakistan pay a considerable amount of their income for managing their condition. Most patients have no provision for insurance which is a need considering the nature of the disease and associated productivity loss that would significantly lower income as the disease progresses.
METHODS: We used the 2003-2013 Taiwanese National Health Insurance Research Database to identify RA patients who started any RA-related medical therapy from 2008 to 2012. Those who initiated etanercept or adalimumab therapy during 2008-2012 were selected as the TNFi group and those who never received biologic disease-modifying anti-rheumatic drug therapy were identified as the comparison group after excluding the patients who had a history of TB or human immunodeficiency virus infection/acquired immune deficiency syndrome. We used propensity score matching (1:6) for age, sex, and the year of the drug index date to re-select the TNFi group and the non-TNFi controls. After adjusting for potential confounders, hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to examine the 1-year TB risk in the TNFi group compared with the non-TNFi controls. Subgroup analyses according to the year of treatment initiation and specific TNFi therapy were conducted to assess the trend of 1-year TB risk in TNFi users from 2008 to 2012.
RESULTS: This study identified 5,349 TNFi-treated RA patients and 32,064 matched non-TNFi-treated controls. The 1-year incidence rates of TB were 1,513 per 105 years among the TNFi group and 235 per 105 years among the non-TNFi controls (incidence rate ratio, 6.44; 95% CI, 4.69-8.33). After adjusting for age, gender, disease duration, comoridities, history of TB, and concomitant medications, TNFi users had an increased 1-year TB risk (HR, 7.19; 95% CI, 4.18-12.34) compared with the non-TNFi-treated controls. The 1-year TB risk in TNFi users increased from 2008 to 2011 and deceased in 2012 when the Food and Drug Administration in Taiwan announced the Risk Management Plan for patients scheduled to receive TNFi therapy.
CONCLUSION: This study showed that the 1-year TB risk in RA patients starting TNFi therapy was significantly higher than that in non-TNFi controls in Taiwan from 2008 to 2012.