Impact of cancer on the mortality of patients with idiopathic inflammatory myopathies by flexible parametric multistate modelling.

BACKGROUND: Patients with idiopathic inflammatory myopathies (IIM) have an increased risk of cancer, but their cancer-related disease burden remains unclear. OBJECTIVES: To explore how cancer might impact the mortality of patients with IIM and examine the associated prognostic factors for cancer and death. METHODS: We identified patients with IIM diagnosed between 1998 and 2020 and ascertained their cancer and death records via linkage to the Swedish healthcare and population registers. Transition hazards from IIM diagnosis to cancer and death were estimated in multistate models using flexible parametric methods. We then predicted the probability of having cancer or death, and the duration of staying alive at a given time from IIM and cancer diagnoses from a crude model. We also explored prognostic factors for progression to cancer and death in a multivariable model. RESULTS: Of 1826 IIM patients, 310 (17%) were diagnosed with cancer before and 306 (17%) after IIM diagnosis. In patients diagnosed with cancer after IIM, the 5-year probability of death from cancer and from other causes was 31% and 18%, respectively, compared to 7% and 15% in patients without cancer after IIM. We reported several factors associated with risk of progression to cancer and death. Specifically, patients with first cancer after IIM who were older at IIM diagnosis, had cancer history, dermatomyositis and a cancer diagnosis within 1 year following IIM faced a greater cancer-specific mortality. CONCLUSION: We observed a substantial increase in mortality from cancer, compared to before, rather than other causes after a cancer diagnosis following IIM, suggesting an unmet medical need for effective cancer management in IIM patients. This finding, along with the identified prognostic factors, provides useful insight into future research directions for improving cancer management in IIM patients.

MINOR GENETIC OVERLAP BETWEEN RHEUMATOID ARTHRITIS, MYOCARDIAL INFARCTION AND ITS RISK DETERMINANTS.

OBJECTIVE: To investigate whether a shared genetic susceptibility exists between rheumatoid arthritis (RA) and myocardial infarction (MI) - including major MI risk factors - and to quantify the degree of any such overlap. METHODS: Genome-wide association study (GWAS) data for RA was constructed from a sample of 26,637 Swedish RA cases and RA-free controls. For MI, GWAS data was obtained from a previously published meta-analysis. Genome-wide genetic correlation was estimated via LD score regression. LAVA was employed to estimate local genetic correlations in ~2500 non-overlapping loci, including the major histocompatibility complex (MHC). The RA-free controls were used for reference panel data. We also assessed stratified estimates of both genome-wide and local genetic correlation, based on subsamples of seropositive and seronegative RA. Furthermore, genome-wide genetic correlation was estimated between RA and selected cardiovascular risk factors, to elucidate pleiotropic relationships. RESULTS: Following quality control, our RA GWAS consisted of 25,826 individuals. Genome-wide genetic correlation between RA and MI was estimated to rg=0.13 (95%CI -0.03-0.29). Six regions exhibited significant local rg though none harbored any known risk SNPs for either of the two traits. Estimates were similar in both seropositive and seronegative RA. No statistically significant rg were observed between RA and any of the MI risk factors. CONCLUSIONS: Our findings indicate that genetic overlap between RA and MI is minor. Furthermore, genetic overlap between RA and MI risk factors seem unlikely to provide a major contribution to the increased risk of MI observed in RA.

Comorbidities and chance of remission in patients with early rheumatoid arthritis receiving methotrexate as first-line therapy: a Swedish observational nationwide study.

OBJECTIVES: This study aims to examine whether comorbidities affect the likelihood of reaching primary remission on methotrexate monotherapy as the first disease-modifying antirheumatic drug (DMARD) in early rheumatoid arthritis (RA). METHODS: We used nationwide Swedish clinical and quality registers to collect RA disease activity measures and comorbidity data for patients diagnosed with RA 2007-2020 (n=11 001). The primary outcome was failure to reach 28-joint Disease Activity Score (DAS28) remission at 3 months. Secondary outcomes included Boolean, Simplified Disease Activity Index/Clinical Disease Activity Index remission, European Alliance of Associations for Rheumatology response and no swollen joint count at 3 and 6 months. For each comorbidity, and for combinations thereof, we calculated adjusted relative risks (RRs) of failure to reach remission, using modified Poisson regression. RESULTS: In total, 53% (n=4019/7643) failed to reach DAS28 remission after 3 months of methotrexate monotherapy, ranging from 66% (n=25/38) among patients with chronic kidney disease to 48% (n=154/319) in patients with previous cancer. The risk of not reaching DAS28 remission at 3 months (RR adjusted for sex and age) was increased among patients with endocrine (RR 1.08, 95% CI 1.01 to 1.15), gastrointestinal (RR 1.16, 95% CI 1.03 to 1.30), infectious (RR 1.21, 95% CI 1.06 to 1.38), psychiatric (RR 1.24, 95% CI 1.15 to 1.35) and respiratory comorbidities (RR 1.16, 95% CI 1.01 to 1.32). Having three or more comorbidity categories was associated with a 27% higher risk of DAS28 remission failure at 3 months. A similar pattern was observed for the secondary outcomes. CONCLUSIONS: Comorbidities decrease the chance of reaching remission on methotrexate as DMARD monotherapy in patients with early RA and are important to consider when assessing treatment outcomes.