Skip to main content

Association of hemoglobin levels with radiographic progression in patients with rheumatoid arthritis: an analysis from the BRASS registry

Abstract

Background

To evaluate baseline hemoglobin (Hb) and radiographic progression over time in patients enrolled in the Brigham and Women’s Rheumatoid Arthritis Sequential Study (BRASS) registry.

Methods

The BRASS is a prospective observational registry of patients with rheumatoid arthritis. BRASS Hb data and total sharp score data were matched with the main BRASS patients. Hb at baseline was categorized per the World Health Organization guidelines. Mean Hb, mean total sharp score, and mean changes over time from baseline to month 120 were summarized (overall, by low/normal Hb, and by current medication at baseline). All analyses were descriptive.

Results

Out of the total (N = 1114) rheumatoid arthritis patients included in the analysis, patients with low Hb at baseline (n = 224 [20%]) had longer disease duration and higher disease activity and reported more pain compared with patients with normal Hb at baseline (n = 890 [80%]). Patients with low Hb at baseline continued to have lower Hb than patients with normal Hb throughout 10 years; although, on average, patients in the low Hb subgroup exhibited a steady increase in Hb levels. A larger increase in total sharp score over time was observed for patients with low Hb than for patients with normal Hb. No meaningful differences potentially attributable to medication at baseline were detected.

Conclusions

Patients with low Hb levels at baseline tended to have increased radiographic progression as measured by total sharp score compared with patients with rheumatoid arthritis having normal Hb levels. Patients with low Hb experienced sustained improvements in Hb levels over time, regardless of the class of medication used.

Trial registration

ClinicalTrials.gov NCT01793103.

Background

Rheumatoid arthritis (RA) is an autoimmune and chronic inflammatory disease that affects the joints and extra-articular organs [1]. Traditionally, RA has been monitored with clinical and radiographic data along with clinical (joint) examination. Although it would be useful to quantitatively assess the disease activity or risk of joint damage in routine clinical practice, very few rheumatologists in the USA use composite disease activity measures as those are time-consuming [2]. Moreover, routinely used assessments can be entirely subjective and non-specific (e.g., laboratory tests providing “false negative” results) and may have little prognostic value (e.g., radiographs) [3]. Therefore, identification of an alternative tool is needed to shed light on disease activity and progression.

Anemia affects about 15% to 47% of patients with RA [4, 5, 6]. A study on the Swiss Clinical Quality Management database reported that RA patients with anemia had more severe radiological progression, whereas this association between anemia and erosion progression was independent of established disease activity scores [5]. Furthermore, RA patients with anemia demonstrated a higher disease activity, structural damage, and reduced joint function compared with non-anemia patients [4]. Low hemoglobin (Hb) levels were found to be an early indicator of active clinical or subclinical inflammatory disease, possibly associated with RA disease severity [7, 8] and DAS28-C-reactive protein (CRP) was found to be an independent predictor of radiographic joint damage progression [9]. Considering these evidences, evaluation of Hb levels may help in identifying patients with rapid radiological progression.

Therefore, the present study evaluated baseline Hb as a prognostic test for the radiographic progression over time in the RA patient population enrolled in the Brigham and Women’s Rheumatoid Arthritis Sequential Study (BRASS) registry.

Methods

Study design

The BRASS (ClinicalTrials.gov identifier, NCT01793103) is a single-center, prospective, observational, and longitudinal real-world registry. It includes clinical and patient-reported data of > 1500 adult patients with RA registered at the Robert Breck Brigham Arthritis Clinic in Boston, MA, USA [10]. The study began enrolment in March 2003, and the retention rate was estimated to be approximately 80% to 90%. The current analysis was performed based on the first and the last visit dates (from 2003 to 2021) to evaluate patients’ overall data enrolled in the BRASS registry. Aim of the analysis was to determine baseline Hb as a prognostic test for patients in the BRASS registry by evaluating Hb and total Sharp score (TSS) over time (by Hb subgroups and current medication at baseline).

Patients

Patients were considered eligible to enroll in the registry if they were 18 to 70 years old with an RA diagnosis made by a board-certified rheumatologist and were registered at the Robert Breck Brigham Arthritis Center. Patient confidentiality was maintained by assigning each patient a clinical subject identification number upon enrollment in the BRASS registry. The present study population represents a subset of the BRASS cohort where the BRASS Hb and TSS data fields were matched to the core BRASS data according to the patient ID and a visit date within 15 days of the Hb and TSS collection date.

Measures and data collection

Hemoglobin at baseline measurements was stratified as low (Hb < 120 g/L for women or < 130 g/L for men) and normal (Hb ≥ 120 g/L for women or ≥ 130 g/L for men) based on the World Health Organization (WHO) guidelines. Upon enrollment, patient demographic and clinical information, functional status, disease activity, comorbidity, laboratory testing, and hand radiographs were obtained at baseline. A physical examination, including joint examination and assessment of pain and disease activity, was retrieved from the BRASS registry.

Statistical analysis

Descriptive analyses were used to summarize the demographic and baseline characteristics of patients, stratified by low and normal Hb. Continuous variables are reported as mean and standard deviation (SD). The statistical significance (P-value) of the difference between the low and normal Hb groups was obtained using t-tests for equality of variance and Satterthwaite’s estimation for unequal variances. Categorical variables are reported as number (n) and percentage (%). The statistical significance (P-value) of the difference between the Hb groups was obtained using chi-square tests or Fisher’s exact tests. The mean Hb and the mean TSS from baseline to month 120 by Hb subgroups (low/normal) and by current medication (anti-tumor necrosis factor [TNF], biologic disease-modifying anti-rheumatic drug (DMARD), and non-biologic DMARDs) at baseline were analyzed. Likewise, mean changes in Hb and TSS through 120 months were analyzed for overall patients and subgroups (Hb at baseline subgroups [low/normal] and current medication) at baseline. SAS v 9.4 was used for all analyses.

The study protocol and informed consent documents were reviewed and approved by the institutional review board of Brigham and Women’s Hospital (approval number: 2002P001762).

Results

Demographics and baseline disease characteristics

In total, 1114 patients with RA were included in the analysis. Patients were stratified to low (n = 224; 20.11%) and normal (n = 890; 79.89%) subgroups based on Hb levels at baseline.

Patients with low Hb at baseline were likely to be older (mean [SD]: 60.38 [14.61] vs 55.53 [13.74] years old; p < 0.0001), less likely to be Caucasians (187/219 [85.39%] vs 838/889 [94.26%]; p < 0.0001), had a longer disease duration (14.05 [12.83] vs 11.71 [11.41] years; p = 0.0134), a higher mean (SD) DAS28-CRP4S (4.46 [1.65] vs 3.53 [1.57]; p < 0.0001), and reported more number of swollen (8.83 [7.85] vs 5.70 [6.89]; p < 0.0001) and painful joints (9.71 [8.74] vs 6.52 [7.36]; p < 0.0001) than patients with normal Hb (Table 1).

Table 1 Baseline demographic and disease characteristics by Hb subgroup

At baseline, patients with low Hb were less likely to take methotrexate (MTX) (163 [72.77%] vs 697 [78.31%]) and non-biologic DMARDs (210 [93.75%] vs 848 [95.28%]) compared with patients with normal Hb. A lower proportion of patients with low Hb were currently taking anti-TNF + MTX (32 [14.29%] vs 170 [19.10%]) and biologic DMARDs (74 [33.04%] vs 347 [38.99%]) than patients with normal Hb. However, a higher proportion of patients with low Hb were currently on nonsteroidal anti-inflammatory drug (NSAID) (133 [59.38%] vs 439 [49.33%]) and non-biologic DMARD (not including MTX or Plaquenil; 47 [20.98%] vs 139 [15.62%]) than normal Hb patients.

Hemoglobin over time by Hb subgroups and current medication at baseline

Hemoglobin over time by hemoglobin subgroups

Overall, little change was observed in the mean Hb from baseline (n = 1114; 130.82 g/L) to 10 years (n = 186; 129.98 g/L) in patients with RA (Fig. 1). Patients with low Hb at baseline (n = 224; 113.12 g/L vs n = 890; 135.28 g/L) continued to have lower Hb than patients with normal Hb at baseline throughout 10 years (n = 42; 123.07 g/L vs n = 144; 132.00 g/L), respectively. On average, patients in the low Hb subgroup exhibited a steady increase in Hb levels. This increase in Hb was observed in all baseline treatment subgroups. Moreover, results remained consistent after taking into account age, race (Caucasian vs. other), disease duration, DAS28-CRP, seropositivity, and smoking status using multivariable regression analysis (data not shown).

Fig. 1
figure 1

Mean Hb over time treated with various classes of medications by Hb subgroup

DMARD, disease-modifying anti-rheumatic drug; Hb, hemoglobin; TNF, tumor necrosis factor

At week 120, the mean Hb from baseline increased by 9.24 g/L in patients with low Hb (n = 42) at baseline, whereas it decreased by 3.74 g/L in patients with normal Hb (n = 144). Similarly, patients with low Hb taking an anti-TNF, biologic DMARD, or non-biologic DMARD at baseline also demonstrated an increase in Hb levels over 10 years (Fig. 2). However, patients with normal Hb showed no to minor changes in Hb levels throughout 10 years.

Fig. 2
figure 2

Mean change in Hb over time by Hb subgroup

DMARD, disease-modifying anti-rheumatic drug; Hb, hemoglobin; TNF, tumor necrosis factor

Hemoglobin over time by current medication at baseline subgroup

Overall, patients with low Hb at baseline reported an increase in mean Hb levels from baseline to 10 years (Fig. 3a–c); a similar trend was noted regardless of class of current medication. Patients with normal Hb at baseline showed steady Hb levels throughout the 10-year study period.

Overall, an improvement in the mean Hb from baseline to month 120 was observed in patients taking non-biologic DMARDs (Fig. 3d–f).

Fig. 3
figure 3

ac Mean Hb and df mean change over time by current medication at baseline subgroup

DMARD, disease-modifying anti-rheumatic drug; Hb, hemoglobin; TNF, tumor necrosis factor

Total sharp score over time: hemoglobin subgroups and current medication at baseline

Total sharp score by hemoglobin subgroups

Overall, the mean TSS at each time point was higher in patients with low Hb at baseline (40.05 vs 21.91) through month 120 (33.32 vs 29.01) compared with patients with normal Hb, respectively (Fig. 4); this was true for both absolute values and the mean change from baseline (Fig. 5). For over 60 months, no to minor improvements in TSS were observed for patients with low Hb taking either an anti-TNF or biologic DMARD; whereas a decrease was observed with non-biologic DMARD use (Fig. 4). A minor increase in TSS was observed for patients with normal Hb taking an anti-TNF or biologic DMARD from month 24 to month 60, whereas TSS was reduced for patients with low and normal Hb taking non-biologic DMARDs. Overall, mean changes in TSS from baseline to 10 years in patients with low Hb (n = 12; 8.38) were greater than for patients with normal Hb (n = 56; 4.53) (Fig. 5). At months 84 and 120, the anti-TNF and biologic DMARD low Hb cohorts consist of the same patients. Patients with low Hb at baseline and currently either on an anti-TNF or biologic DMARD showed no to minor changes in the mean TSS throughout 60 months; however, those on non-biologic DMARD demonstrated reduced TSS. Furthermore, no to minor differences were detected in the mean change in TSS over time by current medication at baseline in patients with normal Hb at baseline (Supplementary Figs. 1 and 2). Moreover, results remained consistent after taking into account age, race (Caucasian vs. other), disease duration, DAS28-CRP, seropositivity, and smoking status using multivariable regression analysis (data not shown).

Fig. 4
figure 4

Mean TSS over time by Hb subgroup

DMARD, disease-modifying anti-rheumatic drug; Hb, hemoglobin; TNF, tumor necrosis factor; TSS, total sharp score

Fig. 5
figure 5

Mean change in TSS over time by Hb subgroup

DMARD, disease-modifying anti-rheumatic drug; Hb, hemoglobin; TNF, tumor necrosis factor; TSS, total sharp score

Discussion

The BRASS registry data reveal that low Hb could be an independent and important factor associated with radiographic progression/damage and may be used to monitor chronic conditions, such as RA. Our observations are in line with a previously published study, which showed that anemia is independently associated with radiographic progression in RA and may be involved in the subclinical inflammation of RA [5].

Throughout 10 years, patients with low Hb continued to have lower Hb and greater radiographic progression than patients with normal Hb. Post hoc analyses of the PREMIER trial data reported that MTX-treated RA patients with low Hb levels were significantly associated with faster radiographic progression/damage over a 2-year study period [9]; also the study suggested that low Hb was a valuable DAS28-CRP-independent indicator of joint damage progression. We also observed that patients with low Hb demonstrated a greater increase in the mean Hb levels over time compared with patients with normal Hb; the same was observed regardless of class of medication. Hashimoto et al. [11] reported that RA patients treated with tocilizumab showed a greater improvement in low Hb levels, whereas the change in the CDAI was a predictor of Hb change. A pooled analysis from three large randomized clinical trials reported a better response to anti-TNF (infliximab + MTX) in terms of normalization of Hb levels in RA patients with anemia at baseline [12]. Likewise, improvement in the iron-related parameters, such as mean Hb, serum iron, and mean corpuscular volume, in RA patients with anemia (mean Hb: 11.3 g/dL) has been reported after tocilizumab treatment [13, 14].

In the current study, patients with low Hb had a greater TSS than patients with normal Hb, indicating greater radiographic progression throughout 10 years. Similarly, a population-based longitudinal real-world study reported the link between anemia and disease activity, medications, and radiographic progression in comparison with non-anemic counterparts. This study demonstrated that radiographic progression rates were increasing with the severity of anemia, and this effect was maintained in subgroups of patients treated with anti-TNF or corticosteroids, without non-selective NSAIDs [5]. Furthermore, greater disease severity and risk of comorbidities were observed in patients with low Hb compared with patients with normal Hb enrolled in the registry (n = 10,397) [7].

A strength of this study is a patient population with longer disease duration (> 10 years) and receiving treatment of various classes of RA medications including biologic DMARDs and non-biologic DMARDs, which would make these results broadly applicable in the clinical practice. Furthermore, mean Hb levels and changes in Hb levels were assessed over a longer duration (10 years) compared with previously published studies.

The BRASS study has some limitations. First, the BRASS being a single-center registry with geographical limitations on patient availability and retention, the generalizability of the results may need further validation. Second, the study did not explore whether changes in Hb levels and TSS over time differ with continuous treatment of specific classes of medication. Third, we did not analyze surrogate measures (CRP or erythrocyte sedimentation rate) to correlate with the radiographic disease progression. Fourth, we did not determine the mechanisms behind the interaction of Hb under different treatment modalities. In addition, these analyses were retrospective in nature. Hence, further studies will be needed to comprehensively understand the effect of different classes of medications on RA patients with low Hb. Lastly, in the present study, we did not determine the overall iron status by assessing ferritin, hepcidin, and mean corpuscular volume.

Conclusions

The real-world data from the BRASS registry demonstrate that patients with low Hb at baseline continued to have lower Hb throughout 10 years of follow-up. Sustained improvements in Hb were observed for patients with low Hb treated with any class of DMARDs. Patients with low Hb at baseline tend to have a greater rate of radiographic progression as measured by TSS compared with RA patients with normal Hb levels. Moreover, no meaningful TSS difference was observed in low Hb patients comparing treatment with conventional synthetic vs biologic DMARDs. Future analyses may evaluate constant therapy and non-constant therapy cohorts and disease severity cohorts.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files.

Abbreviations

BRASS:

Brigham and Women’s Rheumatoid Arthritis Sequential Study

CDAI:

Clinical Disease Activity Index

CRP:

C-reactive protein

DAS28:

Disease Activity Score in 28 joints

Hb:

Hemoglobin

MBDA:

Multi-biomarker disease activity

MTX:

Methotrexate

NSAID:

Nonsteroidal anti-inflammatory drug

QMs:

Quality measures

RA:

Rheumatoid arthritis

SD:

Standard deviation

TNF:

Anti-tumor necrosis factor

TSS:

Total Sharp score

WHO:

World Health Organization

References

  1. Lillegraven S, Prince FH, Shadick NA, Bykerk VP, Lu B, Frits ML, et al. Remission and radiographic outcome in rheumatoid arthritis: application of the 2011 ACR/EULAR remission criteria in an observational cohort. Ann Rheum Dis. 2012;71(5):681–6.

    Article  CAS  PubMed  Google Scholar 

  2. Curtis JR, Chen L, Danila MI, Saag KG, Parham KL, Cush JJ. Routine use of quantitative disease activity measurements among US rheumatologists: implications for treat-to-target management strategies in rheumatoid arthritis. J Rheumatol. 2018;45(1):40–4.

    Article  PubMed  Google Scholar 

  3. Sokka T, Pincus T. Erythrocyte sedimentation rate, C-reactive protein, or rheumatoid factor are normal at presentation in 35%-45% of patients with rheumatoid arthritis seen between 1980 and 2004: analyses from Finland and the United States. J Rheumatol. 2009;36(7):1387–90.

    Article  CAS  PubMed  Google Scholar 

  4. Chen YF, Xu SQ, Xu YC, Li WJ, Chen KM, Cai J, et al. Inflammatory anemia may be an indicator for predicting disease activity and structural damage in Chinese patients with rheumatoid arthritis. Clin Rheumatol. 2020;39(6):1737–45.

    Article  PubMed  Google Scholar 

  5. Moller B, Scherer A, Forger F, Villiger PM, Finckh A, Swiss Clinical Quality Management Program for Rheumatic D. Anaemia may add information to standardised disease activity assessment to predict radiographic damage in rheumatoid arthritis: a prospective cohort study. Ann Rheum Dis. 2014;73(4):691–6.

    Article  PubMed  Google Scholar 

  6. Nikiphorou E, de Lusignan S, Mallen C, Khavandi K, Roberts J, Buckley CD, et al. Haematological abnormalities in new-onset rheumatoid arthritis and risk of common infections: a population-based study. Rheumatology (Oxford). 2020;59(5):997–1005.

    Article  CAS  PubMed  Google Scholar 

  7. Furst DE, Chang H, Greenberg JD, Ranganath VK, Reed G, Ozturk ZE, et al. Prevalence of low hemoglobin levels and associations with other disease parameters in rheumatoid arthritis patients: evidence from the CORRONA registry. Clin Exp Rheumatol. 2009;27(4):560–6.

    CAS  PubMed  Google Scholar 

  8. Padjen I, Ohler L, Studenic P, Woodworth T, Smolen J, Aletaha D. Clinical meaning and implications of serum hemoglobin levels in patients with rheumatoid arthritis. Semin Arthritis Rheum. 2017;47(2):193–8.

    Article  CAS  PubMed  Google Scholar 

  9. Moller B, Everts-Graber J, Florentinus S, Li Y, Kupper H, Finckh A. Low hemoglobin and radiographic damage progression in early rheumatoid arthritis: secondary analysis from a phase III trial. Arthritis Care Res (Hoboken). 2018;70(6):861–8.

    Article  PubMed  Google Scholar 

  10. Iannaccone CK, Lee YC, Cui J, Frits ML, Glass RJ, Plenge RM, et al. Using genetic and clinical data to understand response to disease-modifying anti-rheumatic drug therapy: data from the Brigham and Women’s Hospital Rheumatoid Arthritis Sequential Study. Rheumatology (Oxford). 2011;50(1):40–6.

    Article  CAS  PubMed  Google Scholar 

  11. Hashimoto M, Fujii T, Hamaguchi M, Furu M, Ito H, Terao C, et al. Increase of hemoglobin levels by anti-IL-6 receptor antibody (tocilizumab) in rheumatoid arthritis. PLoS ONE. 2014;9(5):e98202.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Doyle MK, Rahman MU, Han C, Han J, Giles J, Bingham CO 3rd, et al. Treatment with infliximab plus methotrexate improves anemia in patients with rheumatoid arthritis independent of improvement in other clinical outcome measures-a pooled analysis from three large, multicenter, double-blind, randomized clinical trials. Semin Arthritis Rheum. 2009;39(2):123–31.

    Article  CAS  PubMed  Google Scholar 

  13. Isaacs JD, Harari O, Kobold U, Lee JS, Bernasconi C. Effect of tocilizumab on haematological markers implicates interleukin-6 signalling in the anaemia of rheumatoid arthritis. Arthritis Res Ther. 2013;15(6):R204.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Song SN, Iwahashi M, Tomosugi N, Uno K, Yamana J, Yamana S, et al. Comparative evaluation of the effects of treatment with tocilizumab and TNF-alpha inhibitors on serum hepcidin, anemia response and disease activity in rheumatoid arthritis patients. Arthritis Res Ther. 2013;15(5):R141.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank Ashwini Atre, PhD (former employee of Sanofi) and Dhaval Sanchala, M. Pharm (Sanofi) for providing medical writing support.

Funding

This analysis was funded by Sanofi and Regeneron.

Author information

Authors and Affiliations

Authors

Contributions

NS, OH, AP, SF, and MW contributed substantially to the conception and design of the work related to this document. NS and AP contributed substantially to the data acquisition for the work related to this document. All authors contributed substantially to the data analysis or interpretation of the work related to this document, reviewed the manuscript for intellectual content, and approved the final manuscript.

Corresponding author

Correspondence to Nancy Shadick.

Ethics declarations

Ethics approval and consent to participate

The study protocol and informed consent documents were reviewed and approved by the institutional review board of Brigham and Women’s Hospital (approval number: 2002P001762).

Consent for publication

Not applicable.

Competing interests

NS received research grant support from BMS, Amgen, Eli Lilly, Mallinckrodt, Sanofi-Regeneron, and Crescendo Biosciences; OH, AP, and SF are employees of Sanofi and may hold stock/stock options in the company; MW received consultation fees from AbbVie, Aclaris, Amgen, Arena, Bayer, Bristol Myers Squibb, Corvitas, Eqrx, Genosco, GSK, Gilead, Horizon, Johnson & Johnson, Kiniksa, Eli Lilly, Novartis, Pfizer, Rami Therapeutics, R Pharma, Roche, Sanofi, Scipher, Sci Rhom, Set Point, and Tremeau; may hold stock/stock options of CanFite, Inmedix, Vorso, and Scipher. Received grant support from Amgen, Bristol Myers Squibb, Eli Lilly, and Sanofi; GB received grants/contracts from AbbVie, Eli Lilly, Merck Sharp & Dohme, Pfizer, Roche, Sanofi, and UCB and honoraria from AbbVie, Eli Lilly, Merck Sharp & Dohme, Pfizer, Roche, Sanofi, and UCB.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Figure 1.

Mean TSS over time by current medication at baseline subgroup. Supplementary Figure 2. Mean change in TSS over time by current medication at baseline subgroup.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shadick, N., Hagino, O., Praestgaard, A. et al. Association of hemoglobin levels with radiographic progression in patients with rheumatoid arthritis: an analysis from the BRASS registry. Arthritis Res Ther 25, 88 (2023). https://doi.org/10.1186/s13075-023-03068-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13075-023-03068-w

Keywords