|Year : 2019 | Volume
| Issue : 3 | Page : 314-319
Frequency and relation of thyroid dysfunction and inflammation in chronic kidney diseases in the Nephrology Unit, Zagazig University
Nafesa M Kamal, Ahmed M El Sayed, Norhan A Sabah
Department of Internal Medicine and Biochemical, Faculty of Medicine, Zagazig University Hospital, Zagazig, Egypt
|Date of Submission||25-Dec-2018|
|Date of Acceptance||06-Feb-2019|
|Date of Web Publication||27-Aug-2019|
Nafesa M Kamal
12 Seleim Street, Faisal, Giza, 12559
Source of Support: None, Conflict of Interest: None
Context Thyroid hormones play an important role in renal development, functioning renal mass, and early renal function. Pituitary–thyroid axis and metabolism of the peripheral thyroid hormones have been affected by chronic kidney disease (CKD).
Aims The aim was to evaluate the frequency and relationship between thyroid disorders and high-sensitivity C-reactive protein (Hs-CRP) among CKD patients including hemodialysis (HD).
Settings and design In Zagazig University Hospital.
Participants and methods A case–control study that included 150 adult participants who were divided into: group I which included 50 patients with an estimated glomerular filtration rate (eGFR) of 41.8±23.6 ml/min/1.73 m2. Group II included 50 patients with an eGFR of 11.3±4.2 ml/min/1.73 m2.Group III included 50 participants with normal eGFR. All participants were evaluated for serum creatinine and albumin, complete blood count, estimation of GFR by modification of diet in renal disease (MDRD) equation, and serum thyroid-stimulating hormone (TSH), free T3, free T4, and Hs-CRP.
Statistical analysis Using the Statistical Package for the Social Sciences under windows version 20. Qualitative variables were expressed by frequency and percentage, mean±SD, χ2-test, Student’s t-test, analysis of variance (F-test), and correlation analysis.
Results The frequency of subclinical hypothyroidism (46%) and overt hypothyroid (42%) in groups I and II, respectively, has been much higher in CKD patients. There was a strong significant negative correlation of Hs-CRP with eGFR, FT3, FT4 (P<0.001), highly significant positive correlation with serum creatinine, TSH (P<0.001) in non-HD patients, but in HD patients there was high statistically significant negative correlation of Hs-CRP with hemoglobin, albumin, FT3 (P<0.001), FT4, and significant positive correlation with dialysis duration (P<0.001) and TSH.
Conclusion the frequency of thyroid disorders mostly subclinical hypothyroid (46%) and overt hypothyroid (42%) is common in CKD patients and is highly correlated with Hs-CRP in these patients. So we recommend a thyroid investigation in chronic kidney patients for early detection and reduction of its morbidity and mortality.
Keywords: chronic kidney disease, Egypt, Zagazig University, hemodialysis, thyroid dysfunction
|How to cite this article:|
Kamal NM, El Sayed AM, Sabah NA. Frequency and relation of thyroid dysfunction and inflammation in chronic kidney diseases in the Nephrology Unit, Zagazig University. Egypt J Intern Med 2019;31:314-9
|How to cite this URL:|
Kamal NM, El Sayed AM, Sabah NA. Frequency and relation of thyroid dysfunction and inflammation in chronic kidney diseases in the Nephrology Unit, Zagazig University. Egypt J Intern Med [serial online] 2019 [cited 2020 Jun 5];31:314-9. Available from: http://www.esim.eg.net/text.asp?2019/31/3/314/265428
| Introduction|| |
Thyroid function disorder affects kidney development and normal physiology. Also chronic kidney diseases (CKDs) may affect thyroid function. Both have common etiological factors  And are commonly observe in CKD patients with nonimmune primary hypothyroidism. Especially, subclinical hypothyroidism prevalence increases with a decline in glomerular filtration rate (GFR). Usually low T3 level (total more than free T3) is the first thyroid manifestation in that patients . Thyroid disorders are discovered to be a risk factor for CKD progression, and vice versa .
So, this study aimed to evaluate the frequency and relationship between thyroid dysfunction and high-sensitivity C-reactive protein (Hs-CRP) among CKD patients including hemodialysis (HD).
| Participants and methods|| |
A cross-sectional study had been carried out in the inpatient ward of the Internal Medicine Department and Nephrology and Hemodialysis Unit of Zagazig University Hospitals, from January 2015 to January 2016 in Egypt. Written informed and oral consents were taken from the patients who participated in the study in addition to the approval for performing the study that was obtained from Internal Medicine Department after taking the Institutional Review Board (IRB) approval. Human rights were preserved according to the declaration of Helsinki guidelines. We applied this study on 150 participants who were divided into group I including 50 CKD patients with a mean estimated glomerular filtration rate (eGFR) of 41.8±23.6 ml/min/1.73 m2 (25 men and 25 women); 12 of them are diabetic and 18 of them are hypertensive diagnosed by the kidney disease improving global outcomes (KDIGO) criteria, and group II included 50 CKD patients on HD with an eGFR of 11.3±4.2 ml/min/1.73 m2 (22 men and 28 women); 22 of them are diabetic and 41 of them are hypertensive and group III included 50 participants (24 men and 26 women); two of them are diabetic and eight of them are hypertensive with an eGFR of greater than or equal to 90 ml/min/1.73 m2. Inclusion criteria: age equal or more than 20 years, HD patients have 4 h, three times per week, dialysis session. Exclusion criteria: age less than 18 years, patients refusing to enter the study, presence of known thyroid disorder or liver disease, evidence of current infection or inflammation (other than renal cause), blood diseases, blood transfusion or malignancy, pregnancy, lactation or taking contraceptive pills and those taking drugs affecting thyroid function; consent was taken from all persons shared in this study after complete explanation of the procedure steps and nature of the research.
All persons included in this study were subjected to the following:
- Complete clinical history and physical examination, lab investigation: like complete blood count, serum albumin (Alb) and creatinine, FT3, FT4, thyroid-stimulating hormone (TSH), Hs-CRP, eGFR calculated by MDRD4 equation.
- All blood sample withdrawals were performed by the dialysis unit nursing staff on the day of the dialysis session for all patients on HD before the intervention and other participants when they were fasting.
The collected data were revised, verified, edited on PC, and then analyzed statistical using the Statistical Package for the Social Sciences (SPSS) under windows version 20 (SPSS Inc., Chicago, Illinois, USA).
The following statistical tests were used: qualitative variables were expressed by frequency and percentage. Description of quantitative variables in the form of mean±SD. χ2-test, and Fisher’s exact was used for comparison of qualitative variables with each other. Comparison between quantitative variables was carried out using Student’s t-test of two independent samples. For comparison of more than two quantitative groups one-way analysis of variance F-test was used for categorical data. The significance level (P) was expressed as follows: P value greater than 0.05 is not significant. P value less than 0.05 is significant. P value less than 0.001 is highly significant. Pearson’s correlation coefficient was used to calculate the correlation between quantitative variables.
| Results|| |
[Table 1] shows that there were high statistically significant differences between different groups as regards body weight, diabetes mellitus (DM), hypertension, and thyroid disorder, while there were no statistically significant differences as regards age and sex.
[Table 2] shows that there were high statistically significant differences between different groups as regards serum creatinine, eGFR, blood hemoglobin (Hb), serum Alb, Hs-CRP, FT3, FT4, and TSH.
|Table 2 Baseline laboratory values data of the studied population and comparison of basal laboratory values among the different groups|
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[Table 3] shows that there was negative correlation between Hs-CRP and body weight, eGFR, Hb, Alb, FT3, and FT4 while positive correlation between Hs-CRP and creatinine (Cr), TSH, age and there was statistically high significance between Hs-CRP and Cr, eGFR, FT3, FT4, TSH, while there was a statistically nonsignificant difference between Hs-CRP and age, body weight, Hb, and Alb.
|Table 3 Correlations between certain studied parameters with high-sensitivity C-reactive protein, FT3, FT4, and thyroid-stimulating hormone in the chronic kidney disease group (non-HD)|
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There was negative correlation between FT3 and Cr, Hb, Hs-CRP, TSH, while positive correlation between FT3 and age, body weight, eGFR, and FT4 and there was statistically high significance between FT3 and eGFR, Hs-CRP, FT4, TSH, while there was significant difference between FT3 and Cr, body weight and there was statistically nonsignificant difference between FT3 and age, Hb, and Alb.
[Table 4] shows that there was negative correlation between Hs-CRP and body weight, eGFR, Hb, Alb, FT3, and FT4 while positive correlation between Hs-CRP and age, HD duration, Cr, TSH, and there was statistically high significant difference between Hs-CRP and HD duration, Alb, FT3, and FT4, TSH while there was statistically nonsignificant difference between Hs-CRP and age, body weight, Cr, eGFR and there was statistically significant difference between Hs-CRP and Hb.
|Table 4 Correlations between certain studied parameters with high-sensitivity C-reactive protein, FT3, FT4, and thyroid-stimulating hormone in the hemodialysis group|
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There was negative correlation between FT3 and age, HD duration, Cr, Hb, Hs-CRP, TSH, while positive correlation between FT3 and body weight, eGFR, Alb, FT4, and there was statistically highly significant difference between FT3 and HD duration, Hs-CRP, FT4, TSH while it is statistically nonsignificant between FT3 and age, body weight, Cr, eGFR, Hb, and Alb.
[Table 5] and [Table 6] show that there was positive relation between Hs-CRP and thyroid disorder where 95.8% of CKD was subclinical hypothyroid (SHT) and 95.5% of HD was overt hypothyroid.
|Table 5 Relation between thyroid profile and high-sensitivity C-reactive protein in the chronic kidney disease group (nonhemodialysis)|
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|Table 6 Relation between thyroid profile and high-sensitivity C-reactive protein in the hemodialysis group|
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| Discussion|| |
CKD describes a group of different disturbances changing the function and structure of the kidney . Alterations in thyroid hormones may occur in CKD patients in the absence of an underlying intrinsic thyroid disorder, known as the nonthyroidal illness syndrome ,.
We found in the present study a high rate of inflammation in both non-HD (95.8%) and HD (95.5%) groups. There was statistically high significant positive correlation between Hs-CRP and Cr and negative correlation of Hs-CRP with eGFR FT3, FT4 in chronic renal patients, our result is in accordance of Vanholder et al. , Vanholder et al. , and Abraham et al. .
The most important links between thyroid disorders and CKD was uremia , as it is associated with a state of immune dysfunction and immune depression that contribute to increased incidence of infections, resulting in inflammation .
Also, accumulation of uremic toxins may lead to endothelium injury in CKD stages 1–3 , and vascular calcification in CKD stages 3–5 that may be the causes for higher Hs-CRP levels . Hs-CRP negative correlated with FT3 and FT4 levels due to chronic illness adaption that minimizes catabolism .
Hs-CRP levels in CKD patients correlated inversely with serum Alb (P<0.01) and blood Hb; this is due to the malnutrition inflammation complex and low levels of erythropoietin. The same results were observed with Ortega et al. , while Abraham et al.  reported no correlation between hemoglobin levels and Hs-CRP levels.
As regards age, Hs-CRP is found to have positive correlation but not significant with the patients’ age. This is because morbidity increases with increasing age, this is in agreement with Naseem et al.  who stratify SHT in CKD patients according to age; 22.7% of patients were younger than 30 years, 20.8% between 30 and 40 years and 46.2% were above 40 years.
Dialysis duration was significantly positively correlated with Hs-CRP here in the study; circulation of the blood during dialysis increases the release of inflammatory mediators. The same result was reported by Naseem et al.  who tell us that 4.5% of patients on HD for 2 years or less had SHT; 25.9% on HD for 3–5 years, and 60.9% on HD for more than 5 years had SHT.
In this study, DM was detected in 24.0% and 44.0% of CKD patients in groups 1 and 2, respectively, and also, hypertension was reported in 36.0% and 82.0% of groups 1 and 2, respectively. Similar results were obtained by Abraham et al.  and Chandra , who have shown a high rate of SHT and overt hypothyroid was found in DM associated with CKD groups. This is inconsistent with Miulescu et al.  who recruited 23 patients in the predialysis phase with CKD and diabetes mellitus for detecting the associations between thyroid dysfunction and CKD. The thyroid malfunction especially hypothyroid (low T3 syndrome, SHT and overt hypothyroid) is highly frequent in DM with CKD more than DM without CKD.
Chronic renal failure patients in the study have low serum T3 and T4 levels; this is due to the increase in thyroid protein binding, peripheral tissue metabolism, and decrease of peripheral conversion of T4 to T3 due to the decreased clearance of the inflammatory cytokines such as tumor necrosis factor-α and interleukin-1.
Also, there is increased level of TSH in some HD patients due to the direct effect on the pituitary–thyroid axis and decrease in renal function, which lead to an ineffective clearance of abnormal serum constituents which affected the levels of thyroid hormones . Also, there was decrease in clearance and an increase in half-life of TSH , these findings were in agreement with Miulescu et al.  and Rajeev et al. .
Regarding the current study, the most prevalent thyroid dysfunctions were associated with CKD groups: 42% overt hypothyroidism in the HD group and 46% subclinical hypothyroidism in the non-HD group, associated with increasing Hs-CRP and decreasing eGFR. This is in harmony with Gupta et al.  who observed a high prevalence of SCH in CKD patients (25%). SCH is an additional risk factor in CKD and is significantly associated with CKD progression. A study by Lo et al.  included data of 14 623 adult participants. He correlated hypothyroidism with different levels of estimated GFR according to the National Kidney Foundation CKD staging. The results showed increased prevalence of hypothyroidism from 5.4% in those with an eGFR of less than or equal to 90 ml/min/1.73 m2 to 23.1% in those with an eGFR of less than 30 ml/min/1.73 m2. Also, Chonchol et al. , in a study included 3089 adult participants, concluded that subclinical hypothyroidism prevalence increased from 7 to 17.9% in individuals whose eGFR has decreased from 90 to 60 ml/min. Khatiwada et al.  identified that CKD patients have a rate of thyroid dysfunction due to excess iodine nutrition or deficiency, thyroid autoimmunity or inclusion of participants with nonthyroidal illness.
Conclusion and recommendation
From the aforementioned results of this study, it could be conclude that hypothyroidism was the most prevalent thyroid dysfunction associated with CKD HD patients, and subclinical hypothyroidism commonly affects non-HD CKD patients due to the high prevalence of inflammation. So we advise to performing thyroid function tests in patients with CKD and following them with progressing kidney function to protect against cardiovascular risk changes.
The authors appreciate the help of Mohammed Lotfy and nephrology unit nurses and patients.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interets.
| References|| |
Vargas F, Moreno JM, Rodríguez-Gómez I, Wangensteen R, Osuna A, Álvarez-Guerra M, García-Estañ J. Vascular and renal function in experimental thyroid disorders. Eur J Endocrinol 2006; 154:197–212.
Xu G, Yan W, Li J. An update for the controversies and hypotheses of regulating nonthyroidal illness syndrome in chronic kidney diseases. Clin Exp Nephrol 2014; 18:837843.
Gupta A, Kuldeep K, Virmani SK, Arora M. Thyroid dysfunction in patients of chronic kidney disease. Int J Adv Med 2017; 4:1333–1337.
Levey AS, Stevens LA, Coresh J. Conceptual model of CKD: applications and implications. Am J Kidney Dis 2009; 53:S4–S16.
Chopra M, FACP IJ. Nonthyroidal illness syndrome or euthyroid sick syndrome? Endocr Pract 1996; 2:45–52.
Kaptein EM. Thyroid hormone metabolism and thyroid diseases in chronic renal failure. Endocr Rev 1996; 17:45–63.
Vanholder R, De Smet R, Glorieux G, Argilés A, Baurmeister U, Brunet P, Descamps-Latscha B. Review on uremic toxins: classification, concentration, and interindividual variability. Kidney Int 2003; 63:1934–1943.
Vanholder R, Glorieux G, Lameire GN. New insights in uremic toxicity. In: Ronco C, Brendolan A, Levin NW, editors. Cardiovascular Disorders in Hemodialysis. New York: Karger Publishers; 2005. p. 315–324.
Abraham G, Sundaram V, Sundaram V, Mathew M, Leslie N, Sathiah V. C-reactive protein, a valuable predictive marker in chronic kidney disease. Saudi J Kidney Dis Transpl 2009; 20:811.
Mohamedali M, Reddy Maddika S, Vyas A, Iyer V, Cheriyath P. Thyroid disorders and chronic kidney disease. Int J Nephrol 2014; 2014:520281.
Kato S, Chmielewski M, Honda H, Pecoits-Filho R, Matsuo S, Yuzawa Y, Lindholm B. Aspects of immune dysfunction in end-stage renal disease. Clin J Am Soc Nephrol 2008; 3:1526–1533.
Ito T, Terashima M, Kaneda H, Nasu K, Ehara M, Kinoshita Y, Tsuchikane E. In vivo assessment of ergonovine-induced coronary artery spasm by 64-slice multislice computed tomography. Circ Cardiovasc Imaging 2012; 5:226–232.
Eddington H, Sinha S, Li E, Hegarty J, Ting J, Lane B, Middleton R. Factors associated with vascular stiffness: cross-sectional analysis from the Chronic Renal Insufficiency Standards Implementation Study. Nephron Clin Pract 2009; 112:c190–c198.
Zoccal C, Mallamaci F, Tripepi G, Cutrupi S, Pizzini P. Low triiodothyronine and survival in end-stage renal disease. Kidney Int 2006; 70:523–528.
Ortega O, Rodriguez I, Gallar P, Carreño A, Ortiz M, Espejo B et al.
Significance of high C‐reactive protein levels in pre‐dialysis patients. Nephrol Dial Transplant 2002; 17:1105–1109.
Naseem F, Mannan A, Dhrolia MF, Imtiaz S, Qureshi R, Aasim Ahmed A. Prevalence of subclinical hypothyroidism in patients with chronic kidney disease on maintenance hemodialysis, Saudi J Kidney Dis Transpl 2018; 29:846–851.
Chandra A. Prevalence of hypothyroidism in patients with chronic kidney disease: a cross-sectional study from North India. Kidney Res Clin Pract 2016; 35:165–168.
Miulescu RD, Neamţu MC, Margină D, Poiană C, Păun DL. Associations between thyroid dysfunction and chronic kidney disease. Rom J Diabetes Nutr Metab Dis 2014; 21:37–42.
Basu G, Mohapatra A. Interactions between thyroid disorders and kidney disease. Indian J Endocrinol Metab 2012; 16:204.
Rajeev G, Rayappa WDSC, Vijayalakshmi R, Swathi M, Kumar S. Evaluation of thyroid hormone levels in chronic kidney disease patients. Saudi J Kidney Dis Transpl 2015; 26:90.
] [Full text]
Lo JC, Chertow GM, Go AS, Hsu CY. Increased prevalence of subclinical and clinical hypothyroidism in persons with chronic kidney disease. Kidney Int 2005; 67:1047–1052.
Chonchol M, Lippi G, Salvagno G, Zoppini G, Muggeo M, Targher G. Prevalence of subclinical hypothyroidism in patients with chronic kidney disease. Clin J Am Soc Nephrol 2008; 3:1296–1300.
Khatiwada S, Gelal B, Shakya PR, Lamsal M, Baral N. Urinary iodine excretion among Nepalese school children in Terai Region. Indian J Pediatr 2016; 83:15–17.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]