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Research ArticleRheumatoid Arthritis

Cystatin C as a Predictor of Renal Function and Methotrexate-Associated Toxicities in Patients With Rheumatoid Arthritis

Hyeok Chan Kwon, Mi Il Kang and So Mi Kim
The Journal of Rheumatology January 2024, 51 (1) 25-30; DOI: https://doi.org/10.3899/jrheum.2023-0218
Hyeok Chan Kwon
1H.C. Kwon, MD, M.I. Kang, MD, Division of Rheumatology, Department of Internal Medicine, Dankook University College of Medicine;
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  • ORCID record for Hyeok Chan Kwon
Mi Il Kang
1H.C. Kwon, MD, M.I. Kang, MD, Division of Rheumatology, Department of Internal Medicine, Dankook University College of Medicine;
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So Mi Kim
2S.M. Kim, MD, PhD, Division of Nephrology, Department of Internal Medicine, Dankook University Hospital, Dankook University College of Medicine, Cheonan, South Korea.
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  • For correspondence: zhidao79@naver.com
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Article Figures & Data

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    Table 1.

    Baseline characteristics of the enrolled patients with RA.

    Patients, N = 436P
    Age, yrs58.5 ± 13.4
    Sex, male109 (25)
    Disease duration, yrs7.7 ± 5.3
    BMI, kg/m223.5 ± 3.8
    BSA, m21.6 ± 0.2
    Comorbidities
          DM62 (14.2)
          HTN146 (33.5)
          Dyslipidemia62 (14.2)
          Smoking32 (7.3)
    Medications administered
          MTX / mean dose per wk, mg436 (100) / 11.8 ± 3.3
          LEF212 (48.6)
          SSZ179 (41)
          HCQ172 (39.4)
          Tacrolimus107 (24.5)
          GC331 (75.9)
          NSAID182 (41.7)
          bDMARD47 (10.8)
          tsDMARD18 (4.1)
          ACEi or ARB52 (11.9)
          Gastric acid secretion inhibitor or prokinetic agent143 (32.7)
    RF positivity334 (76.6)
    ACPA positivity349 (80)
    Initial SCr, mg/dL0.68 ± 0.16
    Cystatin C, mg/L0.98 ± 0.36
    eGFR equation< 0.01
          CKD-EPISCr, mL/min/1.73 m295.55 ± 18.09
          CKD-EPIcys, mL/min/1.73 m289.44 ± 23.91
    • Data are presented as mean ± SD or n (%). Values in bold are statistically significant. ACEi: angiotensin-converting enzyme inhibitor; ACPA: anticitrullinated protein antibody; ARB: angiotensin receptor blocker; bDMARD: biologic disease-modifying antirheumatic drug; BSA: body surface area; CKD-EPI: chronic kidney disease epidemiology collaboration; cys: cystatin C; DM: diabetes mellitus; DMARD: disease-modifying antirheumatic drug; eGFR: estimated glomerular filtration rate; GC: glucocorticoid; HCQ: hydroxychloroquine; HTN: hypertension; LEF: leflunomide; MTX: methotrexate; NSAID: nonsteroidal antiinflammatory drug; RA: rheumatoid arthritis; RF: rheumatoid factor; SCr: serum creatinine; SSZ: sulfasalazine; tsDMARD: targeted synthetic disease-modifying antirheumatic drug.

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    Table 2.

    Comparison of KDIGO stage using CKD-EPISCr and CKD-EPIcys equations.

    Stage According to the KDIGO GuidelineCKD-EPISCr,
    N = 436
    CKD-EPIcys,
    N = 436
    P
    1312 (71.5)249 (57.1)< 0.01
    2102 (23.4)134 (30.7)0.02
    3A16 (3.7)22 (5)0.32
    3B5 (1.1)19 (4.4)< 0.01
    41 (0.02)11 (2.5)< 0.01
    50 (0)1 (0.02)> 0.99
    • Data are presented as n (%). Values in bold are statistically significant. CKD-EPI: chronic kidney disease epidemiology collaboration; cys: cystatin C; KDIGO: Kidney Disease: Improving Global Outcomes; SCr: serum creatinine.

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    Table 3.

    Changes of KDIGO and MTX dosing guideline stage using CKD-EPISCr and CKD-EPIcys equations.

    A. Change of KDIGO stage using CKD-EPISCr and CKD-EPIcys equations.
    StageCKD-EPIcys
    1, n = 2492, n = 1343A, n = 223B, n = 194, n = 115, n = 1
    CKD-EPISCr1, n = 312233781000
    2, n = 102165521910
    3A, n = 16010960
    3B, n = 5000140
    4, n = 1000001
    5, n = 0000000
    B. Change of MTX dosing guideline stage using CKD-EPISCr and CKD-EPIcys equations.
    eGFR, mL/min/1.73 m2CKD-EPIcys
    < 10, n = 010-50, n = 38> 50, n = 398
    CKD-EPISCr< 10, n = 0000
    10-50, n = 110110
    > 50, n = 425027398
    • Values are n. Light gray and dark gray cells indicate change of classification to upward and downward stages, respectively. CKD-EPI: chronic kidney disease epidemiology collaboration; cys: cystatin C; eGFR: estimated glomerular filtration rate; KDIGO: Kidney Disease: Improving Global Outcomes; MTX: methotrexate; SCr: serum creatinine.

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    Table 4.

    Logistic regression analysis of factors in the stage-changed group.

    Univariable AnalysisMultivariable Analysisa
    OR95% CIPOR95% CIP
    Age, yrs1.051.02-1.07< 0.011.051.03-1.08< 0.01
    Male sex1.310.73-2.360.36
    Disease duration, yrs1.030.98-1.080.22
    BMI, kg/m21.050.98-1.120.16
    DM1.951.03-3.690.042.031.12-3.670.02
    HTN1.841.08-3.100.031.941.19-3.160.01
    Dyslipidemia0.730.37-1.420.35
    Smoking2.020.83-4.890.12
    MTX dose0.970.90-1.040.39
    LEF2.241.34-3.74< 0.011.921.22-3.040.01
    SSZ0.910.54-1.520.71
    HCQ0.800.48-1.350.41
    Tacrolimus1.230.71-2.160.46
    NSAID0.670.40-1.110.12
    tsDMARD0.740.18-3.020.67
    ACEi or ARB1.290.70-2.370.42
    RF positivity1.140.61-2.120.69
    ACPA positivity0.780.41-1.510.47
    ESR1.000.99-1.020.97
    • Values in bold are statistically significant.

    • ↵a Only statistically significant variables from the univariable analysis were used in the multivariable analysis. ACEi: angiotensin-converting enzyme inhibitor; ACPA: anticitrullinated peptide antibody; ARB: angiotensin receptor blocker; DM: diabetes mellitus; ESR: erythrocyte sedimentation rate; HCQ: hydroxychloroquine; HTN: hypertension; LEF: leflunomide; MTX: methotrexate; NSAID: nonsteroidal antiinflammatory drug; OR: odds ratio; RF: rheumatoid factor; SSZ: sulfasalazine; tsDMARD: targeted synthetic disease-modifying antirheumatic drug.

    • View popup
    Table 5.

    Comparison of MTX-associated toxicities between the stage-changed and nonstage-changed groups.

    MTX-associated Toxicity, nStage-changed
    Group, n = 130
    Nonstage-changed
    Group, n = 306
    P
    Total events, n = 10340 (30.7)63 (20.6)0.02
    Alopecia, n = 61 (0.8)5 (1.6)0.48
    Anemia, n = 64 (3.1)2 (0.6)0.04
    Flushing, n = 11 (0.8)0 (0)0.13
    Headache, n = 11 (0.8)0 (0)0.13
    Hepatotoxicity, n = 2511 (8.5)14 (4.6)0.11
    All respiratory events assumed to be related to MTX, n = 52 (1.5)3 (1)0.62
    Serious Infection, n = 31 (0.8)2 (0.6)0.89
    Leukopenia, n = 96 (4.6)3 (0.9)0.02
    Malignancy, n = 30 (0)3 (0.9)0.26
    GI symptoms, n = 315 (3.8)26 (8.5)0.08
    Nephrotoxicity n = 54 (3.1)1 (0.3)0.01
    Stomatitis, n = 42 (1.5)2 (0.6)0.38
    Thrombocytopenia, n = 42 (1.5)2 (0.6)0.38
    • Data are presented as n (%). Values in bold are statistically significant. GI: gastrointestinal; MTX: methotrexate.

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Cystatin C as a Predictor of Renal Function and Methotrexate-Associated Toxicities in Patients With Rheumatoid Arthritis
Hyeok Chan Kwon, Mi Il Kang, So Mi Kim
The Journal of Rheumatology Jan 2024, 51 (1) 25-30; DOI: 10.3899/jrheum.2023-0218

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Cystatin C as a Predictor of Renal Function and Methotrexate-Associated Toxicities in Patients With Rheumatoid Arthritis
Hyeok Chan Kwon, Mi Il Kang, So Mi Kim
The Journal of Rheumatology Jan 2024, 51 (1) 25-30; DOI: 10.3899/jrheum.2023-0218
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Keywords

cystatin C
glomerular filtration rate
METHOTREXATE
RHEUMATOID ARTHRITIS

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Keywords

  • cystatin C
  • glomerular filtration rate
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