Skip to main content

Table 6 Frequency of Insulin Resistance in different studies and associations with clinical variables

From: Fasting triglycerides and glucose index: a useful screening test for assessing insulin resistance in patients diagnosed with rheumatoid arthritis and systemic lupus erythematosus

Author, yearCountryStudy designMethod of Assessment for IRStudy groupsFrequency of IRResults of univariate analysis or correlations between IR and variables in RA and or SLEVariables associated to IR in RA and or SLE in the multivariate analysis
Shahin et al., 2010 [10]EgyptCross-sectionalHOMA-IRRA CLn = 66 n = 40RA CL72.7% NAIR correlated with: body mass index, total cholesterol, triglycerides, LDL-cholesterol, insulin, glucose, erythrocyte sedimentation rate, IR not correlated with: HDL-cMultiple linear logistic regression: insulin, HDL-c, total-cholesterol, erythrocyte sedimentation rate
Manrique et al., 2016 [1]SpainCohortHOMA-IRRA CLn = 46 n = 45RA CL21.7% 15.6%IR correlated with: waist-hip ratio, total fat mass, disease duration, rheumatoid factor, TNF-IR not correlated with: age, body mass index, waist circumference, total free fat mass, blood pressure, HDL-c, LDL-c, total-cholesterol, triglyceridesBox-Cox: total fat mass, disease duration
Costa et al., 2016 [9]BrazilCross-sectionalHOMA-IRRA CLn = 173 n = 97RA CL47% NAIR associated with: DAS 28, C-reactive protein, erythrocyte sedimentation rate, IR not associated with: disease duration, RA pharmacologic treatmentND
Müller et al., 2017 [11]EstoniaCross-sectionalHOMA-IRRA CLn = 92 n = 321RA CL48.5% 22.5%IR associated with: disease duration, DAS 28, C-reactive protein, TNF-a, IL-6 IR not associated with: age, body mass index, rheumatoid factor, glucocorticosteroid use, disease modifying drugs use, total fat massBinomial logistic regression: appendicular lean mass and fat mass index by DEXA, high DAS 28 score
Lozovoy et al., 2013 [13]BrazilCross-sectionalHOMA-IRSLE CLn = 111 n = 125SLE CL64.8% NAIR associated with: body mass index, gamma-glutamyl transferase, antihypertensive drugs use, IR not associated with: age, smoking, disease duration, SLEDAI, SLE pharmacologic treatmentND
Gazareen et al., 2014 [12]EgyptCross-sectionalHOMA-IRSLE RA CLn = 35 n = 35 n = 20SLE RA CL37.1% 54.2% NAIR in SLE correlated with: triglycerides, erythrocyte sedimentation rate, C-reactive protein, disease activity (SLAM), IR in SLE not correlated with: body mass index, total cholesterol, HDL-c, LDL-c, IR in RA correlated with: total cholesterol, triglycerides, LDL-c, erythrocyte sedimentation rate, C-reactive protein, DAS 28, IR in RA not correlated with: age, body mass index, disease duration, HDL-cND
Present study, 2019MexicoCross-sectionalTyG indexSLE RA CLn = 66 n = 107 n = 50SLE RA CL54.8% 55.1% 10%IR in SLE correlated with: duration of hypertension, body mass index, waist circumference, fat mass, total-cholesterol, LDL-c, uric acid, IR in SLE not correlated with: age, HDL-c, disease duration, SLEDAI, IR in RA correlated with: duration of hypertension, body mass index, waist circumference, total cholesterol, HDL-c, LDL-c, uric acid, IR in RA not correlated with: age, fat mass, disease duration, DAS 28Logistic regression: duration of hypertension, waist circumference and uric acid
  1. HOMA-IR homeostatic model assessment for insulin resistance, TyG index triglyceride glucose-index, RA rheumatoid arthritis, SLE systemic lupus erythematosus, CL control group, LDL-c low density lipoprotein cholesterol, HDL-c high density lipoprotein cholesterol, TNF-a tumor necrosis factor-α, IL-6 interleukin 6, DAS 28 Disease Activity Score for RA, SLAM systemic lupus activity measure, ND not done