To the Editor:
Despite widespread first-line use of mycophenolate mofetil (MMF) and the growing adoption of rituximab (RTX) for systemic sclerosis (SSc), comparative data on their relative infection risks remain scarce.1,2 Investigating how these treatments may affect infection risk is crucial to establish comprehensive safety and efficacy profiles and guide treatment selection.2
We conducted an emulated trial with patients across 121 healthcare organizations using medical record data from a deidentified database, TriNetX, comparing infection risk among patients with SSc treated with either MMF or RTX as monotherapy.
We included patients aged ≥ 18 years with a new diagnosis of SSc between 2016 and 2020 with a first prescription for either agent within a year of diagnosis, and without prior diagnosis of any cancer or HIV. To emulate an intention-to-treat analysis, patients were analyzed according to their initial treatment assignment. For each cohort, combination therapy with any other study medication was excluded to prevent confounding from treatment switching and mixed exposure effects. Outcomes (infection risks) were observed over 1 year, with a landmark set at 1 month to preclude outcomes occurring prior to or within 1 month after treatment initiation. Laceration and varicose vein diagnoses served as negative control outcomes. Previously validated and used International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10), and RxNorm-based algorithms (positive predictive value ≥ 87% for SSc), further confirmed by medication prescription, were used for cohort selection and outcome identification (Supplementary Material, available with the online version of this article).3-5 Randomization was emulated through 1:1 propensity score matching with a greedy nearest-neighbor algorithm to balance groups on demographics, comorbidities, pulmonary function testing, and medication use. Hazard ratios (HRs) for all outcomes were estimated using Cox regression models on weighted samples. Full details on cohort, covariate, and outcome definitions and target trial specifications are available in the Supplementary Material.
After propensity score matching, 1649 patients were included in each group, with minimal baseline characteristic differences between groups (standardized mean difference [SMD] < 0.10; Table 1); the median follow-up time for both groups was 365 days. RTX treatment was associated with a higher risk of serious infections compared to MMF treatment (HR 1.29; 95% CI 1.03-1.64), primarily driven by an increased risk of pulmonary infections (HR 1.46; 95% CI 1.13-1.89; Table 2). There were no significant differences in risk between groups for any other infectious outcome types, nor diagnoses of trauma (laceration) or varicose veins (negative control outcomes).
Baseline patient characteristics in RTX- and MMF-treated systemic sclerosis cohorts.
Associations of RTX vs MMF for risk of incident infection and negative control outcomes.
Study strengths include extensive covariate matching, landmark analysis to mitigate immortal time and reverse causation bias, and negative control analysis. Study limitations include inability to evaluate combination therapy outcomes or SSc subtypes due to insufficient sample sizes, misclassification risk due to reliance on structured clinical data, and confounding by indication, though controlling for pulmonary function testing and comorbidities may reduce disease severity-related bias and other unmeasured confounders. For instance, infection risk in SSc may be correlated with impaired pulmonary function, which may contribute to residual confounding.6 Prospective randomized trials directly comparing these agents are warranted to validate study findings and further elucidate their relative efficacy and safety.
The observed increased risk of serious infections with RTX treatment, predominantly pulmonary in etiology, represents a novel and important consideration for clinical decision making that must be carefully weighed against emerging efficacy data in the individualized treatment of patients with SSc.1,2
Footnotes
A. Mahajan and M. Whittelsey contributed equally as co-first authors.
J.A. Sparks and A.H. LaChance contributed equally as co-senior authors.
CONTRIBUTIONS
AM: conceptualization, methodology, formal analysis, data curation, writing – original draft. MW, NZ, MVM: project administration, validation, writing – original draft. JSS, JAS, AHL: supervision, assisted with study design, investigation, and formal analysis, writing – review and editing.
FUNDING
AM is supported by the Rheumatology Research Foundation Future Physician Scientist Award. JAS is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS; grant nos. R01 AR080659, R01 AR077607, P30 AR070253, and P30 AR072577), the National Heart, Lung, and Blood Institutes (grant no. R01 HL155522), the R. Bruce and Joan M. Mickey Research Scholar Fund, and the Llura Gund Award funded by the Gordon and Llura Gund Foundation. JSS is supported by NIAMS (grant no. K08AR084617). All listed funders had no role in the preparation or decision to publish this manuscript.
COMPETING INTERESTS
JAS has received research support from Boehringer Ingelheim, BMS, Janssen, and Sonoma unrelated to this work; and has performed consultancy for AbbVie, Amgen, Boehringer Ingelheim, BMS, Gilead, Inova Diagnostics, J&J, Merck, MustangBio, Optum, Pfizer, ReCor, Sana, Sobi, and UCB unrelated to this work. AHL has received research funds from Pfizer and Merck; and consulting funds from J&J, Pfizer, MEDACorp, Guidepoint, and TD Cowen, none of which are relevant to this study. The remaining authors declare no conflicts of interest relevant to this article.
ETHICS AND PATIENT CONSENT
This study was determined to be exempt from institutional review by the Mass General Brigham Institutional Review Board due to its use of entirely deidentified patient records. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines. TriNetX is compliant with the Health Insurance Portability and Accountability Act and has an information security management system with ISO/IEC 27001:2013 certification. A formal determination and attestation by a qualified expert that the data in TriNetX are deidentified in accordance with Section §164.514(a) of the HIPAA Privacy Rule was refreshed in December 2020.
DATA AVAILABILITY
Data extracted from the TriNetX database can be analyzed only within an online workspace and are unable to be exported, precluding the ability to share the data used in this project.
- Copyright © 2026 by the Journal of Rheumatology
SUPPLEMENTARY DATA
Supplementary material accompanies the online version of this article.







