Abstract
Introduction:
Hypothyroidism is highly prevalent in end-stage kidney disease (ESKD) patients, and emerging data show that lower circulating thyroid hormone levels lead to downregulation of vascular calcification inhibitors and coronary artery calcification (CAC) in this population. To date, no studies have examined the association of serum thyrotropin (TSH), the most sensitive and specific single biochemical metric of thyroid function, with CAC risk in hemodialysis patients.
Methods:
In secondary analyses of patients from the Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients (AIONID) trial, we examined serum TSH levels and CAC risk assessed by cardiac CT scans collected within a 90-day period. We evaluated the relationship between serum TSH with CAC Volume and Agatston scores (defined as >100 mm3 and >100 Houndsfield Units [HU], respectively) using multivariable logistic regression.
Results:
Among 104 patients who met eligibility criteria, higher TSH levels in the highest tertile were associated with moderately elevated CAC Volume and Agatston scores in case-mix adjusted analyses (ref: lowest tertile): adjusted ORs (aORs) (95%CIs) 4.26 (1.18, 15.40) and 5.53 (1.44, 21.30), respectively. TSH levels >3.0 mIU/L (ref: ≤3.0 mIU/L) were also associated with moderately elevated CAC Volume and Agatston scores. In secondary analyses, point estimates of incrementally lower direct free thyroxine levels trended towards elevated CAC Volume and Agatston scores, although associations did not achieve statistical significance.
Conclusions:
In hemodialysis patients, higher serum TSH was associated with elevated CAC Volume and Agatston scores. Further studies are needed to determine if thyroid hormone supplementation can attenuate CAC burden in this population.
Keywords: Thyroid, thyrotropin, calcification, end-stage kidney disease, dialysis
Introduction
Hypothyroidism has a high prevalence in chronic kidney disease (CKD) patients, including those receiving dialysis, but is often under-recognized.[1–3] Large population-based studies have shown that there is an increasing prevalence of thyroid dysfunction with incrementally impaired kidney function.[4,5] Approximately one-quarter of advanced CKD and end-stage kidney disease (ESKD) patients have underlying hypothyroidism.[4–7] In the general population, overt and subclinical hypothyroidism have each been associated with an increased risk of coronary heart disease (CHD) events and death.[8,9] Given that both kidney disease and thyroid dysfunction are common in US adults, [10,11] and both are known to adversely affect cardiovascular health,[8, 12] there has been growing interest in whether hypothyroidism is a novel, modifiable risk factor for adverse CHD outcomes in ESKD.[3]
Emerging data suggest that hypothyroidism is associated with greater burden of coronary artery calcification (CAC),[3, 13–16] a major pathogenic mechanism for vascular stiffness, left ventricular hypertrophy, and sudden cardiac death in this population.[17] Experimental data suggest that low thyroid function is causally associated with vascular calcification via downregulation of matrix Gla protein and Klotho, which are inhibitors of vascular calcification. [15, 16] These observations have been corroborated by two clinical studies in ESKD patients demonstrating a link between low T3 and thyroxine (T4) levels and heightened risk of CAC.[13, 14] However, given that T3 and T4 levels may be low in the setting of malnutrition, inflammation, and uremia,[18–22] it is unclear if these observations represent a causal hypothyroidism—CAC relationship, or are instead confounded by non-thyroidal illness (i.e., thyroid functional test alterations associated with underlying ill health in the absence of thyroid pathology[18]).
In contrast, serum thyrotropin (TSH) is considered to be the most sensitive and specific single biochemical metric of thyroid function,[23, 24] and a robust indicator of thyroid status less influenced by non-thyroidal illness.[18] However, to date, no studies have detected an association between serum TSH levels and CAC risk in ESKD patients receiving dialysis. To address this knowledge gap, we conducted a study examining the relationship between metrics of thyroid status, serum TSH and direct free thyroxine (dFT4) levels, as well as anti-thyroid peroxidase (anti-TPO) antibody levels, with elevated CAC scores in a secondary analysis of patients from the prospective Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients (AIONID) trial.[25]
Methods
Source Cohort
We conducted a secondary analysis of the association between thyroid status and CAC among hemodialysis patients from the Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients (AIONID) trial (Clinicaltrials.gov# NCT00561093) who were recruited across 12 outpatient dialysis units in the Southern California region over the period of June 2008 to June 2010.[25] The AIONID study was a pilot-feasibility, double-blind randomized controlled trial using a two-by-two factorial design in which patients were randomly assigned to 1) either a nutrition supplementation (e.g., Nepro) plus anti-inflammatory anti-oxidant supplement (e.g., Oxepa) vs. placebo, and 2) an anti-inflammatory appetite stimulator (e.g., pentoxifylline) vs. placebo. These interventions were administered during routine thrice-weekly hemodialysis treatments over a period of 16 weeks in order to test feasibility and improvements in serum albumin concentrations.
In the present study, patients were included provided that they were 1) ≥18 years of age, received thrice-weekly in-center hemodialysis for at least four consecutive weeks, 3) had serum albumin levels <4.0 g/dl over a three-month period, and 4) signed a local institutional review board approved consent form (i.e., eligibility criteria for the parent AIONID trial[25]); 5) underwent a CAC computed tomography (CT) scan during the pre-trial phase of the AIONID study; and 6) had available sera collected within 90 days of their CAC measurements. Patients were excluded if they were actively receiving peritoneal dialysis or had a terminal disease (e.g., stage IV cancer). The study was approved by the institutional review boards of the Lundquist Institute (previously known as the Los Angeles Biomedical Research Institute) at Harbor UCLA Medical Center and the University of California Irvine (UCI).
Exposure Ascertainment
The primary exposure of interest was thyroid status as defined by serum TSH level. Serum TSH was measured from thawed serum samples that were collected pre-dialysis at weekday hemodialysis treatments during the baseline period of the AIONID trial (i.e., prior to randomization) and subsequently stored at −80 C°. Serum TSH was measured using second generation chemiluminescent immunoassay tests (Beckman Coulter, Chaska, MN; reference range 0.5–5.0mIU/L) in the Clinical Pathology Laboratory of the UCI Medical Center. In primary analyses, serum TSH levels were categorized into tertiles of observed baseline values: Tertiles 1, 2, and 3 corresponded to TSH levels of <1.44, 1.44 to <2.19, and 2.19 to 10.0 mIU/L, respectively. In sensitivity analyses, we also examined serum TSH levels 1) dichotomized as ≤3.0 vs. >3.0 mIU/L (i.e., threshold for high-normal TSH levels associated with worse survival and patient-reported outcomes in dialysis patients[6, 26–29]), and 2) continuous increments of 1 standard deviation (SD) (+Δ1.9 mIU/L).
In secondary analyses, we examined additional thyroid markers from thawed samples including 1) serum anti-TPO antibody levels ascertained by the “two-step sandwich” method (Beckman XL, Brea, CA; reference range <35 U/ml) in the UCI Clinical Pathology Laboratory, and 2) serum dFT4 levels ascertained by equilibrium dialysis/tandem mass spectrometry[19, 30–32] which were sent from the UCI Clinical Pathology Laboratory to an outside reference laboratory (ARUP Laboratories, Salt Lake City, UT; reference range: 1.1–2.4 ng/dl).
Outcome Ascertainment
The primary outcome of interest was CAC score measured by E-Speed electron beam scanner (EBCT) (GE-Imatron, South San Francisco, CA) or 64-multidetector CT (MDCT) (LightSpeed VCT, General Electric Medical System, Milwaukee, WI) conducted at Harbor UCLA Medical Center.[33–35] The coronary arteries were imaged with 30–48 continuous 2.5–3 mm slices during mid-diastole using ECG-triggering during a 35-second breath hold. CAC measurements were performed on non-contrast studies and were evaluated at a central reading center by an experienced single-reader blinded to the patient information (MJB). CAC was defined as a plaque of at least three continuous pixels (area 1.02mm2) with a density of >130 Houndsfield units (HU).
In primary analyses, we examined CAC measured by Volume Score (mm3) given that 1) it represents an actual CAC volume, 2) has shown better reproducibility than other CAC measures such as the Agatston Score (i.e., Agatston Score is upwardly weighted by calcium density and may not accurately capture changes in coronary calcium),[36, 37] and 3) has been shown to be more predictive of cardiovascular events than calcium density.[38] Volume Score was calculated by multiplying the number of voxels with calcification by the volume of each voxel for each calcified lesion, and summing individual lesion scores from the four main coronary arteries (left main, left anterior descending, circumflex, and right coronary artery). In secondary analyses, we also examined CAC measured by Agatston Score (Houndsfield units [HU]), calculated by multiplying the area of calcium by a factor related to maximum plaque density, and summing lesion scores from the four main coronary arteries. We examined the association between thyroid status and moderately elevated CAC Volume and Agatston (separately) Scores, defined as >100 mm3 and HU, respectively.[39–43] In sensitivity analyses, we also examined varying thresholds of elevated Volume and Agatston Scores as indicators of “severe” and “extensive” CAC using cutoffs of >400 and >1000 mm3 or HU, respectively.[39–43] We also estimated associations of thyroid status with CAC Volume and Agatston Scores examined as continuous variables using linear regression.
Socio-demographic, Comorbidity, Medication, and Laboratory Covariates
Information on socio-demographics, comorbid conditions, medications, and dialysis treatment characteristics (i.e., vascular access type) were collected at study entry by AIONID research coordinators. Dialysis vintage was defined as the time between the date of study entry and the date of hemodialysis initiation. Routine dialysis laboratory measurements were performed by the outpatient dialysis laboratories using automated methods.
Statistical Analyses
Baseline characteristics between exposure groups were compared using chi-squared, analysis of variance, and Kruskal-Wallis tests according to variable type. We examined cross-sectional associations between serum TSH tertiles and CAC score with logistic and linear regression models using four incremental levels of covariate adjustment:
Unadjusted model: Included serum TSH level as the primary exposure of interest;
Case-mix model: Adjusted for age, sex, and race (white vs. non-white);
Expanded case-mix adjusted model: Adjusted for covariates in the case-mix model, as well as diabetes;
Expanded case-mix+vascular access adjusted model: Adjusted for covariates in the expanded case-mix model, as well as vascular access type.
We a priori defined the case-mix model as our primary model, which forced into the model core socio-demographic measures. The expanded case-mix and expanded case-mix+vascular access adjusted models were designated as secondary analyses given the high number of parameters relative to the number of cases (i.e., patients with moderately elevated CAC score). In sensitivity analyses, we also examined expanded case-mix+vascular access+nutritional/inflammatory status adjusted models, which additionally considered serum albumin and transferrin saturation levels in addition to expanded case-mix+vascular access type covariates; this was based on the observation that serum albumin and transferrin saturation were significantly correlated with serum TSH levels (i.e., Spearman correlation=−0.22 and p-value=0.03 for serum albumin—TSH, and Spearman correlation=−0.21 and p-value=0.04 for transferrin saturation—TSH) and may potentially confound serum TSH—CAC associations. Analogous analyses were conducted in examining the relationship between additional exposure definitions for serum TSH, anti-TPO antibody, and dFT4 levels with CAC. There were no missing values for any of the covariates, except for serum albumin (4.8%) and transferrin saturation (4.8%), which were addressed with multiple imputation. Analyses and figures were generated using SAS version 9.4 (SAS Institute Inc., Cary, NC), Stata version 13.1 (Stata Corporation, College Station, TX), and SigmaPlot Version 12.5 (Systat Software, San Jose, CA).
Results
Study Population
Among 104 patients meeting eligibility criteria (Figure 1), the mean ± SD, median (IQR), and minimum-maximum TSH values were 2.29 ± 1.88, 1.74 (1.22, 2.74), and 0.14–10.0 mIU/L, respectively; the proportion of patients who had TSH levels in the high-normal (>3.0 mIU/L) and hypothyroid (>5.0 mIU/L) ranges were 18.3% and 9.6%, respectively.
Figure 1. Study cohort creation.
Abbrev.: AIONID, Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients; CAC, coronary artery calcification; anti-TPO antibody, anti-thyroid peroxidase antibody; FT4, free thyroxine.
Baseline characteristics of the cohort stratified by TSH tertile are shown in Table 1. Compared to patients in the lowest TSH tertile, those in the highest tertile tended to be younger; were more likely to be male; and were less likely to have an arteriovenous fistula or graft but more likely to have a tunneled dialysis catheter, although differences were not statistically significant. Baseline characteristics of the cohort stratified by TSH levels ≤3.0 vs. >3.0 mIU/L are shown in Supplemental Table S1.
Table 1.
Baseline characteristics of cohort according to thyroid status defined by serum thyrotropin (TSH) levels categorized as tertiles.
TSH CATEGORY | |||||
---|---|---|---|---|---|
Overall | Tertile 1 | Tertile 2 | Tertile 3 | P-value | |
Number of patients | 104 | 35 | 34 | 35 | N/A |
| |||||
TSH (mIU/L), min-max | 0.14–10.02 | 0.14–1.43 | 1.44–2.12 | 2.19–10.02 | N/A |
| |||||
Age (years), mean±SD | 58±13 | 60±13 | 57±13 | 57±12 | 0.60 |
| |||||
Female, % | 52 | 57 | 47 | 51 | 0.70 |
| |||||
Race, % | 0.13 | ||||
White | 63 | 69 | 50 | 71 | |
Non-White | 37 | 31 | 50 | 29 | |
| |||||
Hispanic, % | 55 | 63 | 41 | 60 | 0.15 |
| |||||
Vascular Access, % | |||||
AVF/AVG | 80 | 86 | 76 | 77 | 0.56 |
Catheter | 20 | 14 | 24 | 23 | |
| |||||
Diabetes, % | 68 | 69 | 68 | 69 | >0.99 |
| |||||
Anti-TPO Antibody level, median (IQR) | 1.0 (1.0, 2.0) | 1.0 (1.0, 4.0) | 1.0 (1.0, 1.0) | 1.0 (1.0, 4.0) | 0.17 |
| |||||
Direct Free T4 level, median (IQR) | 1.6 (1.4, 2.0) | 1.7 (1.5, 2.0) | 1.6 (1.3, 1.8) | 1.7 (1.5, 2.2) | 0.17 |
Abbreviations: TSH, thyrotropin; AVF, arteriovenous fistula; AVG, arteriovenous grant; Anti-TPO level, anti-thyroid peroxidase antibody level; T4, thyroxine
Serum Thyrotropin Levels and Elevated CAC Volume Scores
Among patients who had concurrent serum TSH and CAC measurements, the mean ± SD, median (IQR), and minimum-maximum Volume Scores were 860 ± 1160, 448 (34, 1157), and 0–5606 mm3, respectively. There were a total of 71 patients in the overall cohort who had a moderately elevated Volume score defined as >100 mm3. When examined across serum TSH tertiles, moderately elevated Volume Scores were observed in 22, 20, and 29 patients in the lowest, middle, and highest TSH tertiles, respectively.
In unadjusted logistic regression analyses, there was a trend towards a significant association between the highest TSH tertile (i.e., as an indicator of lower thyroid function) and moderately elevated Volume Score (ref: lowest TSH tertile): OR (95%CI) 2.86 (0.94, 8.71), p=0.07 (Figure 2 and Supplemental Table S2). Following adjustment for case-mix covariates, this association became stronger and statistically significant: adjusted OR (aOR) (95%CI): 4.26 (1.18–15.40), p=0.03. The association between the highest TSH tertile and moderately elevated Volume Score persisted with incremental adjustment for expanded case-mix and expanded case-mix+vascular access covariates: aORs (95%CI) 4.24 (1.16, 15.50), p=0.03 and 4.25 (1.17, 15.50), p=0.03, respectively. Adjustment covariates found to be important in the relationship between the main exposure, serum TSH tertiles, and the primary outcome, CAC Volume Score, are presented in Supplemental Table S3 (all covariates with p-values <0.05 in the expanded case mix+vascular access model).
Figure 2.
Association between serum thyrotropin (TSH) category and total Volume Score (VS) using logistic regression in unadjusted (Panel A), case-mix (Panel B), expanded case-mix (Panel C), and expanded case-mix+vascular access (Panel D) models.
In sensitivity analyses examining varying serum TSH cutoffs (Figure 2 and Supplemental Table S2), we also found that TSH levels >3.0 mIU/L were significantly associated with moderately elevated Volume Score across all adjustment levels (ref: ≤3.0 mIU/L): aOR (95% CI) 10.90 (1.80, 65.50), p=0.009 in expanded case-mix+vascular access adjusted analyses. When examined as continuous increments, each 1-SD higher TSH level (i.e., +Δ1SD higher TSH = +Δ1.9 mIU/L) was significantly associated with moderately elevated Volume Score across all adjustment levels: aOR (95%CI) 2.89 (1.21, 6.90), p=0.02 in expanded case-mix+vascular access adjusted analyses.
Upon examination of higher Volume Score thresholds as an indicator of greater CAC severity (severe and extensive CAC defined as >400 mm3 and >1000 mm3, respectively), point estimates for the highest TSH tertile demonstrated a trend towards elevated Volume Scores (Supplemental Table S2). Notably, in expanded case-mix+vascular access adjusted analyses, TSH levels >3.0 mIU/L were significantly associated with severe CAC Volume Scores: aOR (95%CI) 3.52 (1.08, 11.50). Similarly, each 1-SD higher TSH level was associated with severe and extensive CAC Volume Scores: aORs (95%CIs) 1.64 (1.00, 2.65) and 1.60 (1.02, 2.51), respectively, in expanded case-mix+vascular access adjusted analyses.
When Volume Score was examined as a continuous variable, we also found a significant association between higher TSH levels with higher CAC Volume Scores (Supplemental Table S4). Incrementally higher TSH levels (+Δ1 mIU/L and +Δ1SD higher TSH level) were each associated with increasingly higher CAC Volume scores in analyses adjusted for expanded case-mix+vascular access covariates: β=+126.7, P=0.03 and β=+240.7, P=0.03, respectively.
To account for nutritional/inflammatory status as a potential confounder of the thyroid status—CAC relationship, we conducted sensitivity analyses that adjusted for serum albumin and transferrin saturation levels in addition to expanded case-mix covariates. We observed robust associations between the highest TSH tertile and moderately elevated Volume Score in the expanded case-mix+vascular access+nutritional/inflammatory status adjusted model: aOR (95%CI) 4.36 (1.12, 17.01), p=0.03 (Supplementary Table 5). Additionally, serum TSH >3.0 mIU/L and higher serum TSH levels examined as continuous increments (i.e., +Δ1SD higher TSH) showed robust associations with moderately elevated Volume Score in expanded case-mix+vascular access+nutritional/inflammatory status adjusted analyses.
Serum Thyrotropin Levels and Elevated CAC Agatston Score
Among patients who had concurrent serum TSH and CAC measurements, the mean ± SD, median (IQR), and minimum-maximum CAC Agatston Scores were 1075 ± 1468, 502 (42, 1451), and 0–7130 HU, respectively. There were a total of 72 patients in the overall cohort who had a moderately elevated Agatston score defined as >100 HU. When examined across serum TSH tertiles, moderately elevated Agatston Scores were observed in 22, 20, and 30 patients in the lowest, middle, and highest TSH tertiles, respectively.
Across all adjustment levels, we observed a significant association between the highest TSH tertile and moderately elevated Agatston Score (ref: lowest TSH tertile): aOR (95%CI) 5.49 (1.41, 21.50), p=0.01 in expanded case-mix+vascular access adjusted analyses (Figure 3 and Supplemental Table S5). Adjustment covariates found to be important in the relationship between serum TSH tertiles and CAC Volume Score are presented in Supplemental Table S3 (all covariates with p-values <0.05 in the expanded case mix+vascular access model).
Figure 3.
Association between serum thyrotropin (TSH) category and total Agatston Score (AS) using logistic regression in unadjusted (Panel A), case-mix (Panel B), expanded case-mix (Panel C), and expanded case-mix+vascular access (Panel D) models.
Using this Agatston Score threshold, we also found that TSH levels >3.0 mIU/L (ref: ≤3.0 mIU/L) were significantly associated with moderately elevated Agatston Scores across all adjustment levels: aORs (95%CIs) 9.79 (1.63, 59.00), p=0.01, in expanded case-mix+vascular access adjusted analyses. When examined as continuous increments, each 1-SD higher TSH level was significantly associated with moderately elevated Agatston Score across all adjustment levels: aOR (95%CI) 3.05 (1.23, 7.57), p=0.01 in expanded case-mix+ vascular access adjusted analyses.
In sensitivity analyses that examined higher Agatston Score thresholds as an indicator of greater CAC severity (severe and extensive CAC defined as >400 HU and >1000 HU, respectively), point estimates for the highest TSH tertile demonstrated a trend towards elevated Agatston scores (Supplemental Table S5). In expanded case-mix+vascular access adjusted analyses, TSH levels >3.0 mIU/L trended towards extensive CAC Agatston Score but did not reach statistical significance: aOR (95%CI) 2.82 (0.89, 8.90), p=0.08. However, each 1-SD higher TSH level was significantly associated with extensive CAC Agatston Score in expanded case-mix+vascular access adjusted analyses: aOR (95%CI) 1.55 (0.99, 2.41), p=0.05.
When Agatston Score was examined as a continuous variable, we also found a significant association between higher TSH levels with higher CAC Agatston Scores (Supplemental Table S6). Incrementally higher TSH levels (+Δ1 mIU/L and +Δ1SD higher TSH level) were each associated with increasingly higher CAC Agatston Scores in analyses adjusted for expanded case-mix+vascular access covariates: β=+158.1, p=0.03. Similarly, each 1-SD higher TSH level was associated with a ~240 mm3 increase in CAC Agatston score: β=+300.3, p=0.03.
In sensitivity analyses accounting for nutritional/inflammatory status as a potential confounder, we observed robust associations between the highest TSH tertile and moderately elevated Agatston Score in the expanded case-mix+vascular access+nutritional/inflammatory status adjusted model: aOR (95%CI) 6.16 (1.42, 26.60), p=0.02 (Supplementary Table 5). Additionally, serum TSH levels >3.0 mIU/L and higher serum TSH levels examined as continuous increments (i.e., +Δ1SD higher TSH) showed persistent associations with moderately elevated Agatston Score in expanded case-mix+vascular access+nutritional/inflammatory status adjusted analyses.
Serum Anti-TPO Antibody and Direct Free Thyroxine Levels and CAC scores
In secondary analyses, we examined additional thyroid markers including serum anti-TPO antibody and dFT4 levels. Examination of varying exposure definitions of serum anti-TPO antibody level did not show associations with moderately elevated CAC Volume (Supplemental Table S7) nor Agatston Scores (Supplemental Table S8).
In analyses of serum dFT4 levels, point estimates suggested a trend towards an association between incrementally higher dFT4 levels (i.e., +Δ1SD higher FT4 = +Δ0.7 ng/dl) as an indicator of higher thyroid function and lower likelihood of moderately elevated CAC Volume (Supplemental Table S7) and Agatston Scores (Supplemental Table S8), although estimates did not achieve statistical significance.
Discussion
In a well-defined cohort of prevalent hemodialysis patients who underwent assessment of various thyroid markers and CAC measurements using coronary CT scanning, we found that lower levels of thyroid function, as assessed by an increase in serum TSH, were associated with elevated CAC Volume and Agatston scores indicating arterial calcification burden. In primary analyses, higher serum TSH levels (i.e., as an indicator of lower thyroid function) using various definitions (e.g., highest TSH tertile, TSH levels >3.0 mIU/L, and continuous increments of TSH) were associated with moderately elevated Volume and Agatston Scores independent of socio-demographics, comorbidity, and dialysis-related factors. In sensitivity analyses examining higher Volume and Agatston Score thresholds as an indicator of greater CAC severity, we also found that incrementally higher levels of serum TSH (+Δ1SD) were associated with severely elevated CAC Volume Score (>400 mm3), as well as extensively elevated Volume and Agatston Scores (>1000 mm3 and >1000 HU, respectively).
An increasing body of evidence has uncovered a relationship between thyroid status and vascular calcification.[3, 13–16] First, experimental models show that the expression of vascular calcification inhibitors, namely matrix Gla protein and Klotho, are dependent on the presence of thyroid hormones. In a study of rat aortic smooth muscle cells, physiological concentrations of thyroid hormone (i.e., triiodothyroxinine [T3]) were shown to directly facilitate gene expression of matrix Gla protein in smooth muscle cells via thyroid hormone nuclear receptors, leading to prevention of vascular calcification in vivo.[16] In contrast, hypothyroid-induced reductions in matrix Gla protein mRNA levels led to an increase in calcium content in aortic smooth muscle tissues. In another study of murine adipocytes, thyroid hormone (i.e., T3) was also shown to significantly upregulate the expression levels of the membrane form of the Klotho gene.[15] With respect to clinical data, it was reported over five decades ago that adults with cretinism due to congenital hypothyroidism were observed to have extensive arterial calcification.[44] These observations have been corroborated by two recent clinical studies in dialysis patients showing that lower levels of circulating thyroid hormone are associated with CAC. In a study of 66 peritoneal dialysis patients who underwent assessment of thyroid markers and CAC Agatston Score measurement using cardiac CT, there was an inverse association between thyroid hormone levels (i.e., free T3) and CAC.[13] In a study of 97 ESKD patients, free T3 and FT4 levels were inversely associated with CAC Agatston Scores, and free T3 levels were positively associated with circulating desphospho-uncarboxylated matrix Gla protein and soluble Klotho concentrations.[14]
To our knowledge, ours is the first study to observe an association between elevated serum TSH levels, a more sensitive metric of thyroid status before serum FT4 levels are reduced, with elevated CAC Volume and Agaston Scores. Given that T3 is largely derived from the peripheral deiodination of T4-to-T4,[21, 45] a process highly sensitive to inflammation, malnutrition, and non-thyroidal illness,[18, 22] lower T3 levels may be more indicative of underlying ill health as opposed to low thyroid function in the dialysis population. In addition, as the vast majority (>99.9%) of T4 is protein-bound,[19] routinely used free T4 assays, which are dependent on hormone-protein binding, may result in spurious results in the presence of uremic toxins, non-thyroidal illness, or certain medications (e.g., furosemide, heparin) commonly used in CKD/ESKD patients that may interfere with hormone-protein binding.[19, 20] In contrast, serum TSH is considered the single most sensitive and specific biochemical metric of thyroid function in the general population given its negative logarithmic association with T4 levels (i.e., small changes in T4 lead to exponential changes in TSH).[23, 24]
To address these limitations, we utilized serum TSH levels as a more reliable indicator of lower thyroid function and observed robust associations with elevated CAC Volume and Agatston Scores across multiple secondary and sensitivity analyses. Furthermore, we also conducted novel dFT4 measurements, which more accurately discern FT4 levels by physically separating free from protein-bound hormone using equilibrium dialysis, followed by FT4 quantification using tandem mass spectrometry,[19, 31] and has shown more potent associations with TSH in populations with altered hormone-protein binding compared with routinely-used FT4 assays.[30, 32] We found that point estimates of incrementally lower dFT4 levels as an indicator of lower thyroid function also trended towards elevated CAC Volume and Agatston Scores, although associations did not achieve statistical significance. These findings are directly germane to ESKD and dialysis patients among whom hypothyroidism is a highly prevalent yet modifiable endocrine complication, and by extension provides insights potentially relevant to other high cardiovascular risk non-CKD populations in whom higher burden of CAC has also been linked with CHD events, stroke, heart failure, and death.[46–49]
Notably, in the present study, we also conducted anti-TPO antibody assessments but did not detect an association with elevated CAC scores. In a prior study of 1149 women from the Netherlands Rotterdam cohort, those with subclinical hypothyroidism and concomitantly elevated anti-TPO antibody levels had heightened risk of both aortic atherosclerosis and myocardial infarction.[50] In the general population, it has been hypothesized that elevated anti-TPO antibody levels leading to autoimmune thyroiditis and chronic inflammation contribute to heightened risk of atherosclerotic disease.[50–52] Given that non-traditional risk factors (e.g., mineral bone disease, oxidative stress, uremic toxins) may play a more dominant role in the pathogenesis of fibrocalcific coronary lesions in ESKD,[53] this may explain the lack of an observed associated between anti-TPO antibody levels and elevated CAC in the present study although further confirmatory studies are needed.
The strengths of our study include its well-characterized cohort of hemodialysis patients who underwent thyroid status evaluation with “gold-standard” metrics; rigorous assessment of both CAC Volume and Agatston Scores using cardiac CT as a non-invasive method to measure coronary calcification with low intra- and inter-observer variability; and comprehensive availability of detailed patient-level data on socio-demographics, comorbidities, and laboratory data collected in the ambulatory setting. However, several limitations of our study bear mention. First, given that the serum samples in which thyroid tests were conducted and CAC measurements were concurrently collected within a 90-day period, we cannot confirm a longitudinal relationship nor causal association between thyroid status and coronary calcification from the present study. Measurements of CAC at a single time point may not reflect the ideal time for risk prediction. Second, the limited sample size of our cohort may have precluded the ability to detect significant associations between some of the thyroid markers (anti-TPO antibody and dFT4) and elevated CAC scores. Third, as our study was a secondary analysis of participants from a clinical trial, it is possible that patients who agreed to participate in the AIONID study may have been healthier than the broader US hemodialysis population. Fourth, due to data limitations we did not have the opportunity to examine the relationship between thyroid status and CAC with other markers of subclinical atherosclerosis (i.e., carotid-intima media thickness)[54]. While this present study focused on CAC as a stronger indicator of cardiovascular risk than other subclinical atherosclerosis markers in both the CKD and non-CKD populations[55, 56], given the multiple ill effects of thyroid dysfunction on cardiovascular health observed in the non-CKD population (i.e., impaired cardiac contractility, endothelial function, cardiac conduction)[8], future studies examining the impact of thyroid status on other cardiovascular endpoints in CKD patients are warranted. Lastly, given that our recruitment was restricted to 12 outpatient dialysis units in Southern California, our findings may not be generalizable to other geographic regions in which patients’ case-mix characteristics and dialysis practice patterns may differ.
In conclusion, we observed that lower levels of thyroid function ascertained by elevated serum TSH levels were significantly associated with greater burden of CAC in hemodialysis patients. Given the high prevalence of thyroid dysfunction and cardiovascular disease in ESKD patients, further studies are needed to confirm findings and determine whether thyroid hormone replacement ameliorates CAC and its downstream consequences in this population.
Supplementary Material
Acknowledgements:
Portions of these data have been presented as an abstract at the 2018 American Society of Nephrology Kidney Week Meeting, October 23rd to 28th, 2018, San Diego, CA, and as an abstract at the 2018 American Heart Association Scientific Sessions, November 10th to 12th, 2018, Chicago, IL.
Funding Sources:
This project was supported by the research grants from the NIH/NIDDK including K23-DK102903 (CMR), R03-DK114642 (CMR), R01-DK122767 (CMR), R01-DK124138 (CMR, KKZ), R21-DK078012 (KKZ), and K24-DK091419 (KKZ).
Footnotes
Statements
Statement of Ethics:
Study participants have given their written informed consent. The study was approved by the Institutional Review Boards and Committee on Human Studies at the University of California Irvine.
Conflicts of Interest:
None of the authors have any relevant disclosures to report.
Data Availability:
The data that support the findings of this study are not publicly available due to containing information that could compromise the privacy of research participants. Further inquiries can be directed to the corresponding author.
References
- 1.Rhee CM. The interaction between thyroid and kidney disease: an overview of the evidence. Curr Opin Endocrinol Diabetes Obes Oct 2016;23(5):407–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rhee CM. Thyroid disease in end-stage renal disease. Curr Opin Nephrol Hypertens Nov 2019;28(6):621–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Rhee CM, Brent GA, Kovesdy CP, et al. Thyroid functional disease: an under-recognized cardiovascular risk factor in kidney disease patients. Nephrol Dial Transplant May 2015;30(5):724–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lo JC, Chertow GM, Go AS, et al. Increased prevalence of subclinical and clinical hypothyroidism in persons with chronic kidney disease. Kidney Int Mar 2005;67(3):1047–52. [DOI] [PubMed] [Google Scholar]
- 5.Rhee CM, Kalantar-Zadeh K, Streja E, et al. The relationship between thyroid function and estimated glomerular filtration rate in patients with chronic kidney disease. Nephrol Dial Transplant Feb 2015;30(2):282–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rhee CM, Kim S, Gillen DL, et al. Association of thyroid functional disease with mortality in a national cohort of incident hemodialysis patients. J Clin Endocrinol Metab Apr 2015;100(4):1386–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rhee CM, Ravel VA, Streja E, et al. Thyroid Functional Disease and Mortality in a National Peritoneal Dialysis Cohort. J Clin Endocrinol Metab Nov 2016;101(11):4054–4061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Klein I, Ojamaa K. Thyroid hormone and the cardiovascular system. N Engl J Med Feb 15 2001;344(7):501–9. [DOI] [PubMed] [Google Scholar]
- 9.Rodondi N, den Elzen WP, Bauer DC, et al. Subclinical hypothyroidism and the risk of coronary heart disease and mortality. JAMA Sep 22 2010;304(12):1365–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.United States Renal Data System. 2018 USRDS annual data report: Epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2018. [Google Scholar]
- 11.Hollowell JG, Staehling NW, Flanders WD, et al. Serum TSH, T(4), and thyroid antibodies in the United States population (1988 to 1994): National Health and Nutrition Examination Survey (NHANES III). J Clin Endocrinol Metab Feb 2002;87(2):489–99. [DOI] [PubMed] [Google Scholar]
- 12.Wheeler DC, Haynes R, Landray MJ, Baigent C: Cardiovascular Aspects of Kidney Disease. In: Taal: Brenner and Rector’s The Kidney, 9th ed., edited by Taal MW, Chertow GM, Marsden PA, Skorecki K, Yu AS, Brenner BM, Philadelphia, Elsevier Saunders, 2012, 2060–2075.. [Google Scholar]
- 13.Meuwese CL, Carrero JJ, Cabezas-Rodriguez I, et al. Nonthyroidal illness: a risk factor for coronary calcification and arterial stiffness in patients undergoing peritoneal dialysis? J Intern Med Dec 2013;274(6):584–93. [DOI] [PubMed] [Google Scholar]
- 14.Meuwese CL, Olauson H, Qureshi AR, et al. Associations between Thyroid Hormones, Calcification Inhibitor Levels and Vascular Calcification in End-Stage Renal Disease. PLoS One 2015;10(7):e0132353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mizuno I, Takahashi Y, Okimura Y, et al. Upregulation of the klotho gene expression by thyroid hormone and during adipose differentiation in 3T3-L1 adipocytes. Life Sci May 18 2001;68(26):2917–23. [DOI] [PubMed] [Google Scholar]
- 16.Sato Y, Nakamura R, Satoh M, et al. Thyroid hormone targets matrix Gla protein gene associated with vascular smooth muscle calcification. Circ Res Sep 16 2005;97(6):550–7. [DOI] [PubMed] [Google Scholar]
- 17.Whitman IR, Feldman HI, Deo R. CKD and sudden cardiac death: epidemiology, mechanisms, and therapeutic approaches. J Am Soc Nephrol Dec 2012;23(12):1929–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wiersinga WM, Van den Berghe G: Nonthyroidal Illness Syndrome. In Werner and Ingbar’s The Thyroid, 10th ed., edited by Braverman LE, Cooper DS, Philadelphia, Lippincott Williams and Wilkins, 2013, 203–216.. [Google Scholar]
- 19.Soldin OP: Measuring serum thyroid-stimulating hormone, thyroid hormones, thyroid-directed antibodies, and transport proteins. In Werner and Ingbar’s The Thyroid, 10th ed., edited by Braverman LE, Cooper DS, Philadelphia, Lippincott Williams and Wilkins, 2013, 279–297.. [Google Scholar]
- 20.Kaptein EM. Thyroid hormone metabolism and thyroid diseases in chronic renal failure. Endocr Rev Feb 1996;17(1):45–63. [DOI] [PubMed] [Google Scholar]
- 21.Langton JE, Brent GA. Nonthyroidal illness syndrome: evaluation of thyroid function in sick patients. Endocrinol Metab Clin North Am Mar 2002;31(1):159–72. [DOI] [PubMed] [Google Scholar]
- 22.Mariani LH, Berns JS. The renal manifestations of thyroid disease. J Am Soc Nephrol Jan 2012;23(1):22–6. [DOI] [PubMed] [Google Scholar]
- 23.Ladenson PW: Diagnosis of Hypothyroidism. In Werner and Ingbar’s The Thyroid, 10th ed., edited by Braverman LE, Cooper DS, Philadelphia, Lippincott Williams and Wilkins, 2013, 606–611. [Google Scholar]
- 24.Jonklaas J: Treatment of Hypothyroidism. In Werner and Ingbar’s The Thyroid, 10th ed., edited by Braverman LE, Cooper DS, Philadelphia, Lippincott Williams and Wilkins, 2013, 611–628. [Google Scholar]
- 25.Rattanasompattikul M, Molnar MZ, Lee ML, et al. Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients (AIONID) study: results of the pilot-feasibility, double-blind, randomized, placebo-controlled trial. J Cachexia Sarcopenia Muscle Dec 2013;4(4):247–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rhee CM, Alexander EK, Bhan I, et al. Hypothyroidism and mortality among dialysis patients. Clin J Am Soc Nephrol Apr 2013;8(4):593–601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Rhee CM, Chen Y, You AS, et al. Thyroid Status, Quality of Life, and Mental Health in Patients on Hemodialysis. Clin J Am Soc Nephrol Aug 7 2017;12(8):1274–1283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Rhee CM, Kalantar-Zadeh K, Ravel V, et al. Thyroid Status and Death Risk in US Veterans With Chronic Kidney Disease. Mayo Clin Proc May 2018;93(5):573–585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rhee CM, You AS, Nguyen DV, et al. Thyroid Status and Mortality in a Prospective Hemodialysis Cohort. J Clin Endocrinol Metab May 1 2017;102(5):1568–1577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jonklaas J, Kahric-Janicic N, Soldin OP, et al. Correlations of free thyroid hormones measured by tandem mass spectrometry and immunoassay with thyroid-stimulating hormone across 4 patient populations. Clin Chem Jul 2009;55(7):1380–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Soldin OP, Soldin SJ. Thyroid hormone testing by tandem mass spectrometry. Clin Biochem Jan 2011;44(1):89–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.van Deventer HE, Mendu DR, Remaley AT, et al. Inverse log-linear relationship between thyroid-stimulating hormone and free thyroxine measured by direct analog immunoassay and tandem mass spectrometry. Clin Chem Jan 2011;57(1):122–7. [DOI] [PubMed] [Google Scholar]
- 33.Shantouf R, Ahmadi N, Flores F, et al. Impact of phosphate binder type on coronary artery calcification in hemodialysis patients. Clin Nephrol Jul 2010;74(1):12–8. [DOI] [PubMed] [Google Scholar]
- 34.Shantouf RS, Budoff MJ, Ahmadi N, et al. Total and individual coronary artery calcium scores as independent predictors of mortality in hemodialysis patients. Am J Nephrol 2010;31(5):419–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zeb I, Ahmadi N, Molnar MZ, et al. Association of coronary artery calcium score and vascular dysfunction in long-term hemodialysis patients. Hemodial Int Apr 2013;17(2):216–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Blaha MJ, Mortensen MB, Kianoush S, et al. Coronary Artery Calcium Scoring: Is It Time for a Change in Methodology? JACC Cardiovasc Imaging Aug 2017;10(8):923–937. [DOI] [PubMed] [Google Scholar]
- 37.Youssef G, Budoff MJ. Coronary artery calcium scoring, what is answered and what questions remain. Cardiovasc Diagn Ther Jun 2012;2(2):94–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Criqui MH, Denenberg JO, Ix JH, et al. Calcium density of coronary artery plaque and risk of incident cardiovascular events. JAMA Jan 15 2014;311(3):271–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Budoff MJ, Gul KM. Expert review on coronary calcium. Vasc Health Risk Manag 2008;4(2):315–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Budoff MJ, Mayrhofer T, Ferencik M, et al. Prognostic Value of Coronary Artery Calcium in the PROMISE Study (Prospective Multicenter Imaging Study for Evaluation of Chest Pain). Circulation Nov 21 2017;136(21):1993–2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rumberger JA, Brundage BH, Rader DJ, et al. Electron beam computed tomographic coronary calcium scanning: a review and guidelines for use in asymptomatic persons. Mayo Clin Proc Mar 1999;74(3):243–52. [DOI] [PubMed] [Google Scholar]
- 42.Schepis T, Gaemperli O, Koepfli P, et al. Added value of coronary artery calcium score as an adjunct to gated SPECT for the evaluation of coronary artery disease in an intermediate-risk population. J Nucl Med Sep 2007;48(9):1424–30. [DOI] [PubMed] [Google Scholar]
- 43.Schmermund A, Mohlenkamp S, Erbel R. Coronary artery calcium and its relationship to coronary artery disease. Cardiol Clin Nov 2003;21(4):521–34. [DOI] [PubMed] [Google Scholar]
- 44.Komar NN, Gabrielsen TO. Arterial calcification in adult cretins. Am J Roentgenol Radium Ther Nucl Med Sep 1967;101(1):202–3. [DOI] [PubMed] [Google Scholar]
- 45.Brent GA. Mechanisms of thyroid hormone action. J Clin Invest Sep 2012;122(9):3035–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bellasi A, Ferramosca E, Ratti C, et al. The density of calcified plaques and the volume of calcium predict mortality in hemodialysis patients. Atherosclerosis Jul 2016;250:166–71. [DOI] [PubMed] [Google Scholar]
- 47.Hecht HS. Coronary artery calcium scanning: the key to the primary prevention of coronary artery disease. Endocrinol Metab Clin North Am Dec 2014;43(4):893–911. [DOI] [PubMed] [Google Scholar]
- 48.Hecht HS. Coronary artery calcium scanning: past, present, and future. JACC Cardiovasc Imaging May 2015;8(5):579–596. [DOI] [PubMed] [Google Scholar]
- 49.Raggi P Cardiovascular disease: Coronary artery calcification predicts risk of CVD in patients with CKD. Nat Rev Nephrol Jun 2017;13(6):324–326. [DOI] [PubMed] [Google Scholar]
- 50.Hak AE, Pols HA, Visser TJ, et al. Subclinical hypothyroidism is an independent risk factor for atherosclerosis and myocardial infarction in elderly women: the Rotterdam Study. Ann Intern Med Feb 15 2000;132(4):270–8. [DOI] [PubMed] [Google Scholar]
- 51.Ciccone MM, De Pergola G, Porcelli MT, et al. Increased carotid IMT in overweight and obese women affected by Hashimoto’s thyroiditis: an adiposity and autoimmune linkage? BMC Cardiovasc Disord May 28 2010;10:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Isguven P, Gunduz Y, Kilic M. Effects of Thyroid Autoimmunity on Early Atherosclerosis in Euthyroid Girls with Hashimoto’s Thyroiditis. J Clin Res Pediatr Endocrinol Jun 5 2016;8(2):150–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Sarnak MJ, Amann K, Bangalore S, et al. Chronic Kidney Disease and Coronary Artery Disease: JACC State-of-the-Art Review. J Am Coll Cardiol Oct 8 2019;74(14):1823–1838. [DOI] [PubMed] [Google Scholar]
- 54.Davis PH, Dawson JD, Mahoney LT, et al. Increased Carotid Intimal-Medial Thickness and Coronary Calcification Are Related in Young and Middle-Aged Adults. Circulation Aug 24 1999;100(8):838–42. [DOI] [PubMed] [Google Scholar]
- 55.Matsushita K, Sang Y, Ballew SH, et al. Subclinical Atherosclerosis Measures for Cardiovascular Prediction in CKD. J Am Soc Nephrol Feb 2015;26(2):439–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Folsom AR, Kronmal RA, Detrano RC. Coronary Artery Calcification Compared with Carotid Intima-Media Thickness in Prediction of Cardiovascular Disease Incidence: The Multi-Ethnic Study of Atherosclerosis (MESA). Arch Intern Med Jun 23 2008;168(12):1333–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
The data that support the findings of this study are not publicly available due to containing information that could compromise the privacy of research participants. Further inquiries can be directed to the corresponding author.