Home | Volume 29 | Article number 137

Original article

Thyroid hormone status in Ghanaian patients with chronic kidney disease

Thyroid hormone status in Ghanaian patients with chronic kidney disease

Nii Ayite Aryee1,&, Emmanuel Ayitey Tagoe2, Victor Anomah2, Benjamin Ako-Boham2, David Nana Adjei2

 

1Department of Medical Biochemistry, School of Biomedical and Allied Health Sciences, College of Health Sciences, Korle-Bu, Accra, Ghana, 2Department of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, Korle-Bu, Accra, Ghana

 

 

&Corresponding author
Nii Ayite Aryee, Department of Medical Biochemistry, School of Biomedical and Allied Health Sciences, College of Health Sciences, Korle-Bu, Accra, Ghana

 

 

Abstract

Introduction: there is limited data on the prevalence of thyroid dysfunction in Ghanaian individuals with chronic kidney disease (CKD). Studies exploring the effect of thyroid hormones on renal function decline are also scant. Unrecognized thyroid dysfunction in CKD may increase the burden of adverse health outcomes. The aim of this study was to determine thyroid hormone status and lipid profiles in patients with CKD attending the Renal Unit of the Korle-Bu Teaching Hospital.

 

Methods: 60 clinically euthyroid patients with CKD, and 65 clinically euthyroid subjects without CKD were recruited for this study. Estimation of effective glomerular filtration rate (eGFR) was done using the 4-variable Modification of Diet in Renal Disease (MDRD) formula with subsequent staging of CKD (stages 2-4). Collected venous blood samples from all study participants were analyzed for creatinine, free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH), total cholesterol (TC), high density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) and triglycerides (TG).

 

Results: levels of TC, HDL, LDL, and TSH levels did not differ significantly between the two study groups. However, TG, VLDL, FT3 and FT4 levels were significantly higher in CKD patients than in the control group. TC, TG, HDL, LDL, VLDL and TSH levels were not significantly different between stages of CKD in study subjects, although FT4 and FT3 levels were significantly different between all stages of CKD.

 

Conclusion: higher levels of FT3 and FT4 but not TSH, are associated with incident CKD and eGFR decline in Ghanaian CKD patients.

 

 

Introduction    Down

Chronic Kidney Disease (CKD) is a disease spectrum characterized by progressive loss of renal function over a period of time. It is manifested by decreased kidney function that lasts longer than three months, as quantified by measured or estimated glomerular filtration rate [1]. A trend towards a global increase in CKD prevalence has been reported, leading to an acknowledgment of CKD as a public health problem [2]. Thyroid hormones have distinct effects on cellular growth and differentiation. They also modulate important physiological functions in virtually every human tissue [3]. Alterations in thyroid hormone status have been observed in patients with CKD, alongside the prevalence of thyroid dysfunction which has been shown to increase with progression of CKD [2, 4]. Although the ability to detect subtle changes in the status of thyroid hormones has improved with the array of modern laboratory testing currently available, no recommendations are available regarding the treatment of mild abnormalities of thyroid hormone levels in patients with CKD not requiring dialysis. These mild abnormalities in thyroid hormone levels may represent risk factors for adverse health outcomes such as cardiovascular disease, and could be implicated in kidney disease progression [4]. There is accumulating evidence to suggest that derangement in lipoprotein metabolism may be a likely cause of kidney dysfunction [5, 6]. Elevated TG levels and/or low high-density lipoprotein cholesterol (HDL-c) levels have been suggested to be predictive of an increased risk of renal dysfunction in a number of studies [5-7]. The progression of CKD has also been associated with the development of a number of complications, including dyslipidemia, thyroid dysfunction and cardiovascular disease [4]. Therefore, early identification and treatment of individuals with CKD who are atrisk of adverse cardiovascular events is required to prolong survival and improve the quality of life for patients, particularly in developing countries where renal replacement therapy resources are limited, unaffordable or non-existent [8]. In a multi-center screening study in Ghana to identify the prevalence of CKD among hypertensives in an out-patient setting, an overall CKD prevalence of 46.9% was reported [9]. This was similar to findings from an earlier review of autopsy data [10]. No studies have however reported on altered thyroid hormone status in CKD in the Ghanaian setting. In view of the reported altered thyroid function and dyslipidemia observed some in CKD patients in other populations and the lack of data on thyroid status and lipid profile changes in the Ghanaian subjects with CKD, we undertook this study to determine the thyroid hormone pstatus in Ghanaian patients with CKD and its association with lipid parameters.

 

 

Methods Up    Down

Study design and recruitment of participants: this case control study was conducted over a 12 month period from July 2014 to June 2015 at the Renal Unit of the Korle-Bu Teaching Hospital (KBTH), Korle-Bu, Accra. KBTH is the leading national referral center in Ghana and the only tertiary healthfacility in the southern part of Ghana. There are clinical services for both adult and pediatric renal patients. 60 non-dialysis CKD patients with stages of CKD (stages 2-4) with no previous history of thyroid dysfunction accessing services at the Renal Unit of the KBTH and 65 apparently healthy control subjects residing in the nearby communities surrounding KBTH were recruited for this study. All recruited patients with non-dialysis dependent CKD stages 2-4 were assessed for thyroid function. Informed consent was obtained from all study participants prior to their inclusion in this study. CKD patients were made to understand that opting out from this study would not affect their medical care. A questionnaire was administered to each patient at recruitment to obtain demographic and anthropometric data, as well as full clinical history including diabetes status and polycystic kidney disease. At the assessment, a dipstick urinalysis was also performed. Blood pressure (BP) was measured by first allowing the study participant to rest for 15 minutes prior to measurement.

 

Case definition: chronic kidney disease (CKD) was defined as the occurrence of kidney damage or decreased kidney function manifested by abnormal albumin excretion and quantified by measured estimated glomerular filtration rate (eGFR) of ≤90 mL/min that persisted for more than three months with proteinuria. The eGFR was calculated using the abbreviated Modification of Diet in Renal Disease (MDRD) study formula [1]. Proteinuria was defined as a dipstick reading of trace or 1+, or heavy (urine dipstick reading greater than or equal to 2+). Stages of non-dialysis-dependent CKD (stages 2-4), were defined according to the American National Kidney Foundation as follows: Stage 2: eGFR 60-89 ml/min/1.73 m2, stage 3: eGFR 30-59 ml/min/1.73m2 and stage 4,15-29 ml/min/1.73 m2 [1].

 

Blood sample collection and laboratory procedure: participants consented by endorsing a written consent form before samples were collected. 5ml venous fasting blood sample was collected from each subject and dispensed into different sample tubes. Samples in plain tubes were processed for total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-c), VLDL, serum creatinine, TSH, FT3 and FT4 estimation. Thyroid hormone Assay (TSH, FT3 and FT4) kits, purchased from CentronicGMbH (Kleinfeld, Germany) were used to assay TC, TG and serum creatinine. HDL-c was determined using kits from Biosystems (Barcelona, Spain). The manufacturer's protocol was followed for all tests using Vital Scientific Microlab 300M (VSM 300) automated analyzer. LDL-c was calculated using Friedwald equation [11]. Quantification of thyroid hormones was determined by enzyme-linked immunosorbent assay (ELISA), (Human, Germany), and Labsystems Multiscan-352 plate reader (Finland). All study participants subjects were categorized into various thyroid function groups based on results of thyroid function tests. Thyroid dysfunction was considered if a participant's thyroid hormone level fell outside the reference range (TSH normal range: 0.4-5.5 μIU/ml), FT3 normal range: 2.8-7.3pmol/L, FT4 normal range: 8.5-22.5 pmol/L). For example, subclinical hypothyroidism was defined as TSH levels greater than 5.5 mIU/ml, with FT3 and FT4 levels within the normal range. Participants who at baseline had a history of thyroid disease or use of thyroid medications, history of cancer and type 2 diabetes mellitus (D2M) were excluded.

 

Ethical consideration: institutional ethics clearance was obtained and approved by the ethical and protocol review committee of the College of Health Sciences (CHS), Korle-Bu.

 

Statistical analysis: continuous data were presented as mean and standard deviation (mean ± SD). Student t-test was used to compare two mean values and ANOVA for three or more mean values using Graphpad Prism 5.0. Hypertension prevalence, CKD stages and thyroid dysfunction groups were expressed in percentages.

 

 

Results Up    Down

Demographic and clinical parameters: 125 participants who met the inclusion criteria were recruited for this study. Clinical parameters and demographic data of the study population are presented in Table 1. There were significantly more females in the control group than in the CKD patient group. The mean age of the CKD patients was higher than that of the control group, but not significantly different between the two study groups. Body mass index was statistically different between the two study groups. Blood pressure was significantly higher in CKD patients when compared to the control group. The prevalence of hypertension in the CKD study group was 75%.

 

Biochemical parameters: comparison of biochemical parameters of CKD patients and the control group is presented in Table 2. Creatinine levels were significantly higher in the CKD group than in the control group. Creatinine and estimated glomerular filtration rate (eGFR) were significantly reduced in the CKD group when compared to the control group. Baseline biochemical parameters for total cholesterol (TC), HDL, LDL-c and TSH levels did not differ significantly between the two study groups. However, TG, VLDL, FT3 and FT4 levels were significantly higher in the CKD group.

 

Biochemical parameters and thyroid hormone profile stratified: by CKD stage Various biochemical variables parameters and thyroid hormone profiles stratified by CKD stage are presented in Table 3. CKD subjects in stages 3 and 4 were significantly older than those in stages 1 and 2. Serum creatinine levels were significantly different between all stages of CKD and showed an increasing trend from stage 1 to stage 4, whereas creatinine clearance decreased significantly across CKD stages 1-4(p < 0.001). Levels of TC, TG, HDL-c, LDL-c, VLDL and TSH were not significantly different between the stages of CKD in our study subjects. FT4 and FT3 levels were significantly different between all the stages of CKD. However, FT4 levels showed greater variation between CKD stages than FT3.

 

Thyroid function status: results of thyroid function status for our study groups is shown in Table 4. Subclinical hypothyroidism was observed in 2% and 3 % of the CKD patient group and non-CKD group respectively whereas 2% of CKD patients were diagnosed with subclinical hyperthyroidism.

 

 

Discussion Up    Down

The impact of thyroid dysfunction on renal function is linked to the role of the kidneys in metabolism, degradation and excretion of several substances including thyroid hormones. It is therefore expected that any impairment in kidney function could lead to altered thyroid physiology [2]. Currently there is no report on the thyroid status of clinically Ghanaian euthyroid CKD subjects not requiring dialysis. We demonstrated in this study that TSH levels did not differ significantly between CKD subjects and clinically euthyroid subjects without CKD. Furthermore, FT3 and FT4 levels were found to be significantly higher in CKD patientsthan in the control group, although mean FT3 and FT4 values, as well as that of TSH were all within the reference range.Similarity in the levels of TSH in the control group and CKD subjects has been observed in some studies that focused on thyroid function in end stage renal disease [12, 13]. Other studies, mainly in Asian and Caucasian populations have shown that serum TSH levels are usually normal or elevated in CKD patients with normal or low free and total T3 and T4 levels [14, 15]. Our results, particularly for serum FT3 and FT4 levels in CKD patients, though at variance with studies that have reported a low T3 and T4 as the most frequently observed thyroid alteration in CKD patients, still supports the growing body of evidence that thyroid hormone alterations occur in CKD individuals not requiring dialysis. Elevated FT3 and FT4 levels observed in our CKD subjects may have been confounded by concomitant hypertension.Numerous studies have identified a linkage between thyroid dysfunction and hypertension, showing that both hyperthyroidism (overactive thyroid) and hypothyroidism (underactive thyroid) are associated with elevated blood pressure [16]. Milder forms of thyroid dysfunction such as subclinical hyper-and hypothyroidism it has been suggested, may raise also the risk for high blood pressure [17]. Several possible mechanisms have been used to explain the link between thyroid hormones and renal function. In overt hypothyroidism, cardiac output is decreased and systemic vascular resistance is increased, resulting in decreased renal blood flow, decreased GFR and creatinine clearance and increased serum creatinine [16, 17].

 

Conversely, cardiac output and circulating blood volume are increased in hyperthyroidism, resulting in increased creatinine clearance and decreased serum creatinine [16]. Although these mechanisms have been used to explain the link between thyroid dysfunction and hypertension, their role in euthyroid individuals with low to normal thyroid function is unclear [4]. We could neither find a significant increasing or decreasing trend for TSH across CKD stages. Although FT3 and FT4 levels were significantly different across CKD stages 2-4, we could not ascertain an increasing or decreasing trend for these thyroid hormones. Our findings were different form results of the Kangbuk Samsung Health Study (KSHS), performed among 104,633 Korean participants with an average age of 38.0 years, and normal thyroid function at baseline. It reported that high-normal levels of TSH and low-normal FT3 levels, but not FT4 levels, were associated with increased risk of incident CKD, defined as eGFR<60 mL/min/1.73 m2 [18]. The disparate definitions of CKD,as well as the relatively older subjects participating in our study compared to those in KSHS study, might possibly account for this discrepancy. Studies have also described the expression of TSH receptors in extra-thyroidal tissues including the kidney. It is therefore plausible that TSH may affect renal function independently of FT4 or FT3 [17]. Only 2% and 3% of the CKD and control group respectively showed laboratory evidence of clinical hypothyroidism whereas 2% of CKD patient group were diagnosed with subclinical hyperthyroidism. It is noteworthy to add that evidence of endocrine dysfunction commonly consists of laboratory abnormalities, many of which are not associated with apparent disease.Our study had a number of limitations. The small sample size limited our ability to determine significant thyroid dysfunction in the study population in the absence of clinical disease. Secondly, we did not determine levels of anti-thyroid peroxidase antibodies. Autoimmune thyroid disease may lead to the deposition of thyroglobulin- containing immune-complexes in glomeruli, which can cause glomerular injury in autoimmune thyroiditis [19]. In future studies, we may have to consider different or additional criteria for calculating eGFR that will have less bias and introduce higher accuracy than the Modification of Diet in Renal Disease Study equation, especially at higher GFR levels [20].

 

 

Conclusion Up    Down

We found that higher levels of FT3 and FT4, but not low levels of TSH, to be associated with incident CKD and an eGFR decline. To improve upon the biochemical criteria for diagnosing thyroid dysfunction, additional criteria for calculating eGFR and larger sample size may be required in assessment of thyroid hormone status.

What is known about this topic

  • Thyroid dysfunction causes significant changes in kidney function and kidney diseases can be associated with thyroid disorders;
  • Alterations in Thyroid hormone status and dyslipidemia are common disorders in patients with CKD.

What this study adds

  • The equation developed from the MDRD study may not provide a more accurate estimation of GFR in our study group;
  • Our findings highlight the importance of regular screening for thyroid dysfunction in patients with CKD using improved biochemical criteria for diagnosing thyroid dysfunction.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors’ contributions Up    Down

All of the authors have read and approved the paper for publication.

 

 

Acknowledgments Up    Down

The authors will like to acknowledge technical support received from staff of the Departments of Medical Biochemistry and Medical Laboratory Science of the School of Allied Health and Biomedical Sciences, Korle-Bu.

 

 

Tables Up    Down

Table 1: demographic and clinical parameters of the study population

Table 2: biochemical and thyroid hormones levels of the studied population

Table 3: clinical, biochemical and thyroid hormonal status of chronic kidney disease stages

Table 4: thyroid hormone dysfunction prevalence in the studied population

 

 

References Up    Down

  1. Levey AS, Bosch JP, Lewis JB, et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation; modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130(6): 461-70. PubMed | Google Scholar

  2. Rothberg MB, Kehoe ED, Courtemanche AL et al. Recognition and management of chronic kidney disease in an elderly ambulatory population. J Gen Intern Med. 2008; 23(8): 1125-30. PubMed | Google Scholar

  3. Yen PM. Physiological and molecular basis of thyroid hormone action. Physiol Rev. 2001; 81(3): 1097-142. PubMed | Google Scholar

  4. James MT, Hemmelgarn BR, Tonlelli M. Early recognition and prevention of chronic kidney disease. Lancet. 2010; 375(9722): 1296-309. PubMed | Google Scholar

  5. Guebre-Egziabher, F, Alix PM, Koppe L et al. Ectopic lipid accumulation: A potential cause for metabolic disturbances and a contributor to the alteration of kidney function. Biochimie. 2013; 95(11): 1971-1979. PubMed | Google Scholar

  6. Tsuruya K, Yoshida H, Nagata M et al. Association of the triglycerides to high-density lipoprotein cholesterol ratio with the risk of chronic kidney disease: analysis in a large Japanese population. Atherosclerosis. 2014; 233(1): 260-267. PubMed | Google Scholar

  7. Ritz E, Wanner C. Lipid changes and statins in chronic renal insufficiency. J Am Soc Nephrol. 2006; 17(12 Suppl 3): 226-230. PubMed | Google Scholar

  8. Foster M, Rawlings AM, Marrett E et al. Cardiovascular disease risk factors in chronic kidney disease: Overall burden and rates of treatment and control. Arch Intern Med. 2006; 166(17): 1884-1891. Google Scholar

  9. Ampem-AmoakoY, Odai-Laryea D, Bedu-Addo G et al. Clinical and demographic characteristics of chronic kidney disease patients in a tertiary facility in Ghana. Pan Afr Med J. 2001; 18: 274. PubMed | Google Scholar

  10. Osafo C, Mate-Kole M, Affram K et al. Prevalence of chronic kidney disease in hypertensive patients in Ghana. Ren Fail. 2011; 33(4): 388-92. PubMed | Google Scholar

  11. Fukuyama N, Homma K, Wakana N et al. Validation of the Friedewald Equation for Evaluation of Plasma LDL-Cholesterol. J Clin Biochem Nutr. 2008; 43(1): 1-5. PubMed | Google Scholar

  12. Kayima JK, Otieno LS, Gitau W et al. Thyroid hormone profile in patients with chronic renal failure on conservative management and regular hemodialysis. East Afr Med J. 1992; 69(6): 333-336. Google Scholar

  13. Hoschestetler LA, Flanigan MJ, Lim VS. Abnormal endocrine tests in a hemodialysis patient. J Am Soc Nephrol. 1994; 4(10): 1754-1759. Google Scholar

  14. Chonchol M. Prevalence of subclinical hypothyroidism in patients with chronic kidney disease. Clin J Am Soc Nephrol. 2008; 3(5): 1296-1300. PubMed | Google Scholar

  15. Carrero JJ, Qureshi AR, Axelsson J et al. Clinical and biochemical implications of low thyroid hormone levels (total and free forms) in euthyroid patients with chronic kidney disease. J Intern Med. 2007; 262(6): 690-701. PubMed | Google Scholar

  16. Prisant LM, Gujral JS, MulloyAL. Hyperthyroidism: A secondary cause of isolated systolic hypertension. J Clin Hypertens (Greenwich). 2006; 8(8): 596-9. PubMed | Google Scholar

  17. 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. 2015; 30(2): 282-287. PubMed | Google Scholar

  18. Zhang Y, Chang Y, Ryu S et al. Thyroid hormone levels and incident chronic kidney disease in euthyroid individuals: The Kangbuk Samsung Health Study. Int J Epidemiol. 2014; 43(5): 1624-32. PubMed | Google Scholar

  19. Iglesias P, Diez JJ. Thyroid dysfunction and kidney disease. Eur J Endocrinol. 2009; 160(4): 503-15. PubMed | Google Scholar

  20. Levey, AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150(9): 604-12. PubMed | Google Scholar