logo
Leflunomide, HCQ Combo Effects Validated in Sjögren Disease

Leflunomide, HCQ Combo Effects Validated in Sjögren Disease

Medscape5 hours ago

BARCELONA, Spain — In the treatment of primary Sjögren disease, the use of leflunomide (LEF) and hydroxychloroquine (HCQ) in combination was associated with a greater reduction in disease activity than placebo, according to new trial results reported at the European Alliance of Associations for Rheumatology (EULAR) 2025 Annual Meeting.
In the randomized controlled RepurpSS-II trial, the LEF-HCQ combination produced a mean decrease in EULAR Sjögren syndrome disease activity index (ESSDAI) score of 4.13 points ( P = .001) relative to placebo after 24 weeks of treatment.
There were also greater reductions in serum immunoglobulin G, rheumatoid factor, and complement component 4 with the combination than with placebo.
However, there were no differences between the groups in terms of patients' symptoms as measured by the EULAR Sjögren syndrome patient reported index (ESSPRI) or its separate components.
There were also no differences between the groups in improving dryness as measured using the Schirmer and unstimulated saliva tests.
Confirmatory Trial
Wing-Yi Wong, MD
'The major challenge in this disease is the lack of standard treatments, despite the need,' said Wing-Yi Wong, MD, a PhD student at University Medical Center Utrecht, Utrecht, the Netherlands, who presented the findings as a late-breaking abstract.
'Many trials in the past 40 years have failed to show clinical efficacy,' Wong added. One of the few trials that had proven promising previously, however, was the RepurpSS-I trial, which had tested a combination of LEF at a dose of 20 mg/d and HCQ at a dose of 400 mg/d given for 24 weeks vs placebo.
RepurpSS-II was set up to confirm the findings of RepurpSS-I. Published in The Lancet Rheumatology in 2020, RepurpSS-I had shown that LEF-HCQ reduced ESSDAI a mean of 4.29 points more than that with placebo.
Trial Designs and RepurpSS-II Population
RepurpSS-I was a phase 2a trial, and RepurpSS-II was a phase b2 trial. Entry criteria were similar for both trials: Primary Sjögren disease diagnosis, an ESSDAI ≥ 5, and no significant comorbidities. Women of a child-bearing age also had to be taking reliable contraception.
Both RepurpSS trials included 24-week double-blind treatment phases, with RepurpSS-II adding a single-arm crossover extension for a further 24 weeks.
A total of 37 people with primary Sjögren disease had been screened for inclusion in RepurpSS-I, 29 were included, 21 of whom were treated with the LEF-HCQ combination and eight with placebo.
For RepurpSS-II, 85 of 233 people who were considered for inclusion were screened, and 46 were included in the trial. Of these, 21 were treated with LEF-HCQ and 25 with placebo.
Among the reasons for not screening or including more people in RepurpSS-II were comorbidities; current or recent treatment with LEF, HCQ, or other disease-modifying antirheumatic drugs; and not meeting other entry criteria.
Participants in the LEF-HCQ and placebo groups of RepurpSS-II were demographically similar: The mean age was 55 years; 90.5% and 96.0%, respectively, were women; and the mean disease durations were 6.5 years and 10.0 years, respectively.
Mean ESSDAI scores at baseline were 9.52 in the LEF-HCQ group and 9.88 in the placebo group, and mean ESSPRI scores were 7.00 and 6.83, respectively.
Other Findings
Exploratory analyses using the Sjögren's Tool for Assessing Response (STAR) and the Composite of Relevant Endpoints for Sjögren Syndrome (CRESS) also favored LEF-HCQ.
'STAR and CRESS scores are two novel composite endpoints that includes patient-reported outcomes together with objective measures of dryness alongside the clinical ESSDAI,' Wong said.
She reported that there was a 'significantly higher percentage of responders' in the LEF-HCQ group using both measures vs placebo.
Adverse event rates were similar between groups: A total of 58 events occurred in the LEF-HCQ group and 57 in the placebo group. Most of these events were considered as mild (77.6% for LEF-HCQ and 66.7% for placebo), with gastrointestinal discomfort and respiratory infections among the most commonly reported.
Two severe adverse events occurred, one in each group, and were deemed unrelated to the study treatment. The one in the LEF-HCQ group was a non-ST elevation myocardial infarction, and the one in the placebo group was an allergic reaction to antibiotic treatment.
A total of 14 patients in the LEF-HCQ group completed the double-blind phase, and nine chose to enter the 24-week, open-label extension. Although completed, results of this phase are pending.
'Overall, the combination treatment was well tolerated, and leflunomide-hydroxychloroquine is realistic treatment option, which is affordable, accessible, and widely available,' Wong concluded.
This study was funded by the Dutch independent government body ZonMw . Wong and fellow investigators for the RepurpSS-II study had no relevant conflicts of interest.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Cannabis Linked to Increased Risk for CVD Death
Cannabis Linked to Increased Risk for CVD Death

Medscape

timean hour ago

  • Medscape

Cannabis Linked to Increased Risk for CVD Death

Cannabis use was associated with a significant twofold increased risk for major adverse cardiovascular events (MACEs), including a doubling in the likelihood of death from these events, in a meta-analysis of 24 relevant studies. The analysis is one of the largest and most detailed to date examining cannabis use and MACEs in real-world settings. Based on their findings, the authors call for 'systematic investigation' of cannabis use in all patients presenting with serious cardiovascular disorders. The study, with first author Wilhelm Storck, PhD, with the University of Toulouse, Toulouse, France, was published online on June 17 in the journal Heart . Changing Attitudes The findings come at a time of increasing cannabis use, driven in part by legalization and the expanding use of cannabis for medical purposes — shifts that may have contributed to more permissive public attitudes toward the drug despite accumulating evidence of potential risk to heart health. Previous studies have described potential cannabis-related cardiovascular risk. But knowledge gaps remained on the magnitude of the associated risk for cannabis users, particularly in recent years marked by the availability of more potent and increasingly diverse forms of cannabis, from high-strength inhaled concentrates to edibles and synthetic cannabinoids. Storck and colleagues sought to quantify the actual cardiovascular risks of cannabis use amid these evolving trends. They systematically reviewed 24 pharmacoepidemiologic studies (17 cross-sectional, six cohort, and one case-control study) published between January 2016 and January 2023. Together, the studies involved roughly 200 million individuals across multiple countries. The final analysis focused on cannabis-related MACEs (ie, cardiovascular death; nonfatal acute coronary syndrome [ACS], including myocardial infarction; or nonfatal stroke). Their pooled results revealed positive associations between cannabis use and MACEs, with a 20% higher risk for stroke (risk ratio [RR], 1.20), a 29% higher risk for ACS (RR, 1.29), and more than double the risk for cardiovascular mortality (RR, 2.10) compared to nonusers. The investigators noted that the single study on medical cannabis that was included in the meta-analysis also highlighted a positive association. The findings held up in sensitivity analyses limited to cohort studies, suggesting a robust association despite some methodological limitations, the authors said. In addition, they noted that four additional papers published outside of the time window of their study yielded comparable results. Treat Cannabis Like Tobacco? The authors noted that cannabis exposure was often poorly measured across the studies. Only four studies collected data on dose and assessed dose-response. There was also a moderate-to-high risk for bias in many of the studies. Most studies were cross-sectional, which are not designed to prove causality. Despite these caveats, this 'exhaustive analysis of published data on the potential association between cannabis use and the occurrence of MACE provides new insights from real-world data,' they said. The authors of a linked editorial said the study raises 'serious questions about the assumption that cannabis poses little cardiovascular risk.' 'Cannabis needs to be incorporated into the framework for prevention of clinical cardiovascular disease. So too must cardiovascular disease prevention be incorporated into the regulation of cannabis markets,' wrote Stanton Glantz, PhD, and Lynn Silver, MD, MPH, with University of California San Francisco. As the evidence base grows, Glantz and Sliver said cardiovascular and other health risks must be considered in the regulation of allowable product and marketing design. 'Today that regulation is focused on establishing the legal market with woeful neglect of minimizing health risks. Specifically, cannabis should be treated like tobacco: Not criminalized but discouraged, with protection of bystanders from secondhand exposure,' they concluded.

Scipher Medicine Unveils New Tool to Predict Rheumatoid Arthritis Treatment Success at EULAR 2025
Scipher Medicine Unveils New Tool to Predict Rheumatoid Arthritis Treatment Success at EULAR 2025

Business Wire

time2 hours ago

  • Business Wire

Scipher Medicine Unveils New Tool to Predict Rheumatoid Arthritis Treatment Success at EULAR 2025

WALTHAM, Mass.--(BUSINESS WIRE)--At the European Congress of Rheumatology (EULAR) 2025, Scipher Medicine, the company behind the groundbreaking PrismRA ® test, unveiled a new, AI-driven approach to help doctors better evaluate if a rheumatoid arthritis (RA) treatment is truly working — a challenge that has long frustrated both patients and physicians. This new 'RA Response Calculator,' developed using real-world patient data and machine learning, offers a more accurate way to determine whether someone is actually improving on their current therapy — cutting through the noise of subjective measures like patient self-reports and physician assessments. 'Anyone living with RA knows that figuring out whether a medication is working can take months — and even then, it's often unclear,' said Reg Seeto, CEO of Scipher Medicine. 'We created this tool to make that process faster, clearer, and more personalized. It brings science and objectivity to a space that's long relied on educated guesswork.' The study analyzed data from nearly 1,500 RA patients receiving commonly prescribed treatments — TNF inhibitors, T-cell inhibitors, and IL-6 inhibitors. By applying a machine learning algorithm to joint tenderness, swelling, and inflammation data collected over 24 weeks, Scipher's team identified a combination of two standard clinical measures that best predicts therapy success: Tender Joint Count (TJC) and Swollen Joint Count (SJC). The result: a simple formula that predicts whether a treatment is helping — or if it's time to try something else. 'Doctors already use TJC and SJC in the clinic. What's new is how we've mathematically combined them using real-world data and AI to create a consistent, data-backed benchmark for treatment response,' said Seeto. 'This is about giving providers and patients a clearer, faster answer — and a better shot at remission.' The new tool also showed improved accuracy over standard response metrics like CDAI and ACR scores, which are commonly used in trials but often fall short in real-world care. About Scipher Medicine Scipher Medicine is transforming how autoimmune diseases like RA are treated by using AI and network biology to match patients with therapies that actually work. Through its SPECTRA Rx and Dx platforms, Scipher combines the largest clinico-genomic dataset in rheumatology with real-world medical records, creating powerful tools to personalize care and improve drug development. Learn more at PrismRA is a first-of-its-kind blood test that helps doctors identify which RA patients are unlikely to respond to TNF inhibitor therapy — the most commonly prescribed (and most expensive) class of RA drugs. With just a routine blood draw, PrismRA analyzes a patient's molecular signature to guide more effective and personalized treatment plans. Visit to learn more.

Severe Neonatal Illness Predicts Mortality Into Adolescence
Severe Neonatal Illness Predicts Mortality Into Adolescence

Medscape

time3 hours ago

  • Medscape

Severe Neonatal Illness Predicts Mortality Into Adolescence

Severe neonatal morbidity (SNM) significantly increased the risk for death from infancy through late adolescence, particularly for neurologic conditions. Female infants and those born term with SNM faced higher relative mortality risks. METHODOLOGY: Researchers conducted a population-based cohort study using data from the Swedish Medical Birth Register to assess the association between SNM and all-cause and cause-specific mortality from infancy to adolescence. This study included 2,098,752 live-born singleton infants born between 2002 and 2021, of whom 49,225 (2.4%) were diagnosed with SNM (defined as respiratory infections or neurologic or procedural complications within 27 days of birth). Mortality was classified on the basis of age as infancy (28 days to 11 months), early childhood (1-4 years), later childhood (5-9 years), and adolescence (≥ 10 years). Primary outcomes were all-cause and cause-specific mortality from 28 days to a follow-up duration of 21.2 years. TAKEAWAY: The mortality rate was 1.81 vs 0.13 per 1000 person-years among children with SNM vs those without SNM (adjusted hazard ratio [aHR], 5.92; 95% CI, 5.27-6.64). Neurologic morbidity had the strongest association (aHR, 17.67; 95% CI, 15.08-20.71). Female children with SNM had a higher risk for mortality than male children (aHR, 7.28 vs 4.97; P for interaction < .001), with the association between SNM and neurologic morbidity notably stronger among female children. for interaction < .001), with the association between SNM and neurologic morbidity notably stronger among female children. Among children aged 1 year or older, SNM was strongly associated with deaths from neurologic diseases (aHR, 18.64; 95% CI, 12.51-27.79), circulatory diseases (aHR, 5.41; 95% CI, 2.67-10.94), and metabolic disorders (aHR, 3.56; 95% CI, 1.70-7.44). Among children with SNM, those born preterm had higher absolute mortality rates than those born term (2.76 vs 1.30 per 1000 person-years); however, infants born term showed a stronger relative risk than those born preterm (aHR, 7.16 vs 3.51). IN PRACTICE: "Efforts to further prevent severe neonatal morbidity, ensure early identification, and provide long-term follow-up care may help reduce mortality and inform discussions with families regarding prognosis and follow-up needs," the authors wrote. SOURCE: This study was led by Hillary Graham, MS, Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. It was published online on June 10, 2025, in JAMA Pediatrics . LIMITATIONS: This study included over 20 years of follow-up; mortality data became limited beyond 15 years. Lower early-life survival in the earliest birth cohort may have led to survivor bias, potentially underestimating the long-term risk for mortality. Although the sibling-controlled analysis helps address familial confounding, it may still be affected by unmeasured differences between siblings. DISCLOSURES: This study was supported by grants from the Swedish Research Council and Stockholm City Council, ALF Medicine. The authors reported having no conflicts of interest.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store