- Visibility 28 Views
- Downloads 8 Downloads
- DOI 10.18231/j.ijcbr.2020.063
-
CrossMark
- Citation
Secondary hyperparathyroidism in patients with chronic kidney disease: A case control study
- Author Details:
-
Jyothi A Natikar *
-
A Shailaja
Introduction
CKD is a highly prevalent health issue across the world, with a prevalence rate of 11-13.[1] This is a direct consequence of chronic diseases like diabetes and hypertension. Approximately 40% patients with diabetes develop nephropathy and diabetic patients alone account for 12 million people with CKD.[2] The estimated prevalence rates of chronic kidney disease in India are 800 per million population and incidence of end-stage renal disease is 200 per million population.[3]
Over production of PTH secondary to reduced renal functions is called secondary hyperparathyroidism. Secondary hyperparathyroidism is characterised by elevated serum parathyroid levels and alteration of calcium and phosphorus homeostasis. The deficiency of activated vitamin D and an increase in phosphorus excretion by the remaining functional nephrons together stimulate excess PTH synthesis and secretion.[2] Abnormalities in mineral metabolism occur early in the course of CKD and are responsible for complication like osteodystrophy. In recent years, it is found that these changes are responsible for cardiovascular complications.[4]
Early diagnosis of secondary hyperparathyroidism is crucial in the management of patients with CKD. The National kidney foundation & Kidney disease outcome quality initiative (KDOQI) have given various guidelines for maintaining the target levels of PTH, Calcium and phosphorus in various stages of CKD. The guidelines also highlight the importance of measuring the PTH levels, it recommends an annual measurement of PTH once the diagnosis of CKD is made. If the levels are maintained within the target range then the various complications can be prevented by adequate treatment.[5]
Thus this study was conducted to correlate the changes in PTH levels in patients with CKD in comparison to controls.
Materials and Methods
The study was done at Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka. After obtaining the Institutional Ethics committee clearance the study was started. An informed consent was taken from all participants for the study.
54 patients diagnosed with CKD, who were in various stages of the disease, were investigated. The exclusion criteria are known cases of autoimmune disorders, paediatric patients and patients with congenital renal disorders. The base line demographic data, clinical history, family history and personal history were obtained from each patient.
46 healthy individuals attending routine health checkup and healthy staff members were included in the study as controls.
Venous blood sample is collected in vacutainers. Samples were immediately placed on ice and after transport to the laboratory, were centrifuged at 3000 rpm for 10 minutes. Serum was separated and analyzed as per recommended protocols.[6], [7]
Methodology
Measurement of creatinine
CR-S reagent is used to measure the creatinine concentration by a modified rate Jaffé method in Beckman Coulter UniCel DxC 600 System using controls AQUA CAL 1 and 2.[8]
Measurement of urea
Urea reagent of an enzymatic urease method was used in UV fixed rate method.[9] Beckman Coulter UniCel DxC 600 System using controls AQUA CAL 1, 2 and 3.
Measurement of PTH
The Intact PTH assay is a two-site immune enzymatic sandwich assay measured in Beckman Coulter Access 2.[10]
The 54 patients diagnosed with CKD were divided into various stages of disease depending on their creatinine levels and age using MDRD formula.
The MDRD formula is: 186 × plasma creatinine−1.154 × age−0.203 (× 0.742 if female).[11]
Stage 1: Kidney damage with normal or increased GFR (>90 mL/min/1.73 m2),
Stage 2: Mild reduction in GFR (60-89 mL/min/1.73 m2)
Stage 3: Moderate reduction in GFR (30-59 mL/min/1.73 m2),
Stage 4: Severe reduction in GFR (15-29 mL/min/1.73 m2),
Stage 5: Kidney failure (GFR < 15 mL/min/1.73 m2 or dialysis).
There were 6 patients in Stage 1,18 in Stage 2,5 in Stage 3,6 in Stage 4 and 19 in Stage 5.
Statistial analysis
Descriptive and inferential statistical analysis has been carried out in the present study. Results on continuous measurements are presented on Mean ± SD (Min-Max) and results on categorical measurements are presented in Number (%). Significance is assessed at 5 % level of significance. Chi-square/ Fisher Exact test has been used to find the significance of study parameters on categorical scale between two or more groups.[12], [13], [14]
Significant VALUES
+ Suggestive significance (P value: 0.05<P<0.10).
Statistical software
The Statistical software’s like SPSS 15.0 were used for the analysis of the data and Microsoft word and Excel have been used to compile, generate graphs, tables.
Results
The mean age of patients with CKD is 47.26±12.73 years. Maximum patients were in the age group of 51-60 years. In healthy controls the mean age was 43.83±15.12 years. Samples are age matched with P = 0.220. Among the cases 72% were males and 28% were females. In healthy controls 59% were males and 42% were females. Samples are gender matched with P = 0.155.
Among the patients studied 39% of patients were in stage 5 followed by 37% in stage 2, 9% of patients were in stage 4 followed by 8% in stage 1 and 3.
The normal range for creatinine is between 0.6-1.2mg/dl, urea is 18-46 mg/dl & of PTH is 16-66 pg/ml.
Biochemical parameters | Cases | Controls | P value |
PTH pg/ml | 136.80±92.70 | 52.47±16.34 | <0.001** |
Urea mg/dl | 76.60±69.77 | 23.54±7.46 | <0.001** |
Creatinine mg/dl | 4.11±4.25 | 0.56±0.10 | <0.001** |
PTH pg/ml | Cases | Controls | ||
No | % | No | % | |
<67 | 15 | 27.8 | 43 | 93.5 |
67-90 | 13 | 24.1 | 2 | 4.3 |
>90 | 26 | 48.1 | 1 | 2.2 |
Total | 54 | 100.0 | 46 | 100.0 |
Mean ± SD | 136.80±92.70 | 52.47±16.34 |

PTH levels were measured in cases and controls. The normal value of PTH is 16-66 pg/ml. 27.8% of patients had values >67 pg/ml, 24% of patients had values in between 67-90 pg/ml and 48% had >90 pg/ml.
Among the controls 93.5% had values <67 pg/dl and 4% had values between 67-90 and only 2% had levels >90 pg/ml.

The mean levels of PTH in cases are 136.80±92.70 and controls is 52.47±16.34 pg/ml. There is a statistically significant increase in PTH levels in cases as compared to controls p value is <0.001.

Statistically significant increase in urea levels was seen in cases as compared to controls (p<0.001). The mean level in cases is 76.60±69.77 and control is 223.50± 7.46(p<0.001).

Statistically significant increase in creatinine levels was seen in cases as compared to controls (p<0.001). The mean level in cases is 4.11±4.25 and control is 0.56± 0.10(p<0.001).
Cut-off | Sensitivity | Specificity | LR+ | LR- | AUC | P value |
>67 | 72.22 | 97.83 | 33.22 | 0.28 | 0.879 | 0.034* |
>90 | 50.00 | 97.83 | 23.00 | 0.51 | - | - |
Variables | Stage of CKD | P value | ||||
Stage I | Stage II | Stage III | Stage IV | Stage V | ||
PTH pg/ml | 67.72±29.92 | 75.09±33.38 | 96.47±33.88 | 158.98±115.1 | 211.13±88.0 | <0.001** |


The levels of PTH is compared in patients in various stages of CKD. As the disease progressed, there was progressive increase in PTH levels. The mean level of PTH in stage I was 67.72±29.92, 75.09±33.38 in stage II, 96.47±33.88 in stage III and 158.98±115.1 in stage IV and 211.13±88.0 in stage V respectively.
Discussion
Decreased renal function interferes with the kidneys' ability to maintain fluid and electrolyte homeostasis. Plasma concentrations of creatinine and urea, which are highly dependent on glomerular filtration, begin a nonlinear rise as GFR diminishes.[15]
The decrease in functioning renal mass results in hypocalcaemia, hyperphosphatemia and reduced calcitriol levels which stimulate PTH secretion and synthesis and promote parathyroid gland hyperplasia leading to secondary hyperparathyroidism.
The damaged kidney is unable to excrete phosphorus load or can convert vitamin D into its active metabolite calcitriol, leading to a compensatory secondary hyperparathyroidism.[16] In addition, an elevation in Fibroblast growth factor 23 levels is also apparent early in the course of CKD.[17] These mineral and endocrine functions disrupted in CKD are critically important in the regulation of bone remodelling. As a result, bone abnormalities like altered remodelling and loss of bone volumes are common in patients with CKD stages 3-5.[18] Derangements in mineral metabolism are also associated with cardiovascular disease and all-cause mortality.[19], [20] In individuals on dialysis, cardiovascular mortality rates are 10- to 500-times higher than in the general population.[21]
Multiple cross-sectional studies in dialysis patients have found that disordered mineral metabolism, including hyperphosphatemia and hyperparathyroidism, increases the risk of cardiovascular and all-cause mortality.[22] One mechanism by which abnormal mineral metabolism may increase.
Cardiovascular risk is by inducing or accelerating arterial and valvular calcification.[23]
As a result, both NKF and Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommend that PTH levels should be regularly monitored beginning in stage 3 CKD, and that elevated levels should be treated with a combination of dietary phosphorus restriction and therapy with vitamin D and or calcimimetics.[24]
Recent observational studies have shown that even slight elevation in PTH levels are associated with an increased cardiovascular risk. LVH is the most prevalent cardiac complication observed in CKD patients and is often associated with myocardial fibrosis, poor perfusion, and cell death.[25], [26]
In a cross sectional study, Saleh et al. found PTH to be an independent predictor of LVH among patients in the upper PTH percentiles.[27]
Nasri et al analyzed the influence of PTH on myocardial function. In their cross-sectional study in hemodialysis patients, they determined that excess PTH played a significant role in the development of LVH and reduced left ventricular ejection fraction.[28]
The relationship between elevated PTH and LVH was further explored in a retrospective study by Goto et al. determined that parathyroidectomy in CKD patients with advanced SHPT led to a significant improvement of left ventricular ejection fraction and function.[29]
It is also found that monitoring PTH levels from the early stages of CKD can prevent complications due to mineral disturbances vascular and soft-tissue calcifications are due to hyperphosphatemia are the strong predicators of cardiovascular mortality among CKD patients.[30]
In our study we found a statistically significant increase in PTH level in cases as compared to controls (p<0.001). The findings are similar to Block et al. study, where a significant increase in PTH levels was observed in CKD. They also identified high PTH levels as a significant correlate of all-cause mortality. They concluded that elevations in serum PTH might be associated with increased risk of death from cardiac causes.[31] Amann K et al. Studies implicated parathyroid hormone as a permissive factor that promotes cardiac fibroblast activation and inter-myocardial fibrosis.[32] Kalantar-Zadeh et al. studies also observed a significantly increase in PTH levels in CKD.[33]
Patel S et al., performed a cross-sectional study and observed that PTH levels increased with worsening of CKD.[34] Similar findings were seen in our study, where a significant increase in PTH levels were observed which further increased with progression of CKD.
Conclusion
Secondary hyperparathyroidism is commonly prevalent in CKD and must be treated at the earliest, in order to prevent the associated morbidity and mortality. The target levels of PTH as described by KIDGO must be maintained in order to avoid complications. Reducing serum parathyroid levels is an important goal for improving quality of life and preventing adverse health outcomes in such patients.
Source of Funding
None.
Conflicts of Interest
None.
References
- W. Saliba, B. El-Haddad. Secondary Hyperparathyroidism: Pathophysiology and Treatment. J Am Board Fam Med 2009. [Google Scholar]
- S. Tomasello. Secondary Hyperparathyroidism and Chronic Kidney Disease. Diabetes Spectr 2008. [Google Scholar]
- Ghanshyam Palamaner Subash Shantha, Anita Ashok Kumar, Viraj Bhise, Rohit Khanna, Kamesh Sivagnanam, Kuyilan Karai Subramanian. Prevalence of Subclinical Hypothyroidism in Patients with End-Stage Renal Disease and the Role of Serum Albumin: A Cross-Sectional Study from South India. Cardiorenal Med 2011. [Google Scholar]
- Rajnish Mehrotra, Sharon Adler. Coronary artery calcification in nondialyzed patients with chronic kidney diseases. Am J Kidney Dis 2005. [Google Scholar]
- . KDOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease. Am J Kidney Dis 2003. [Google Scholar]
- N W Tietz. . Specimen Collection and Processing and Sources of Biological Variation. Textbook of Clinical. Textbook of Clinical chemistry 1994. [Google Scholar]
- . Procedures for the Handling and Processing of Blood Specimens, Approved Guideline. Villanova:. 1990. [Google Scholar]
- G Paulson, R Ray, J Sternberg. A Rate-Sensing Approach to Urea Measurement. Clin Chem 1971. [Google Scholar]
- M Jaffe. . Z Physiol Chem 1886. [Google Scholar]
- Jean-Claude Souberbielle, Gérard Friedlander, Catherine Cormier. Practical considerations in PTH testing. Clin Chim Acta 2006. [Google Scholar]
- A S Levey, T Greene, J W Kusek. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 2000. [Google Scholar]
- K P Suresh, Chandrasekhar. Sample Size estimation and Power analysis for Clinical research studies. J Hum Reprod Sci 2012. [Google Scholar]
- R Bernard, 5th Edition. . Fundamentals of Biostatistics 2000. [Google Scholar]
- Riffenburg, H Robert. . Statistics in Medicine Academic press 2005. [Google Scholar]
- Mcmillan, I James. . Chronic Kidney Disease 2010. [Google Scholar]
- A. Levin, G.L. Bakris, M. Molitch, M. Smulders, J. Tian, L.A. Williams. Prevalence of abnormal serum vitamin D, PTH, calcium, and phosphorus in patients with chronic kidney disease: Results of the study to evaluate early kidney disease. Kidney Int 2007. [Google Scholar]
- Masafumi Fukagawa, Junichiro J. Kazama. With or without the kidney: the role of FGF23 in CKD. Nephrol Dial Transplant 2005. [Google Scholar]
- F.C. Barreto, D.V. Barreto, R.M.A. Moyses, C.L. Neves, V. Jorgetti, S.A. Draibe. Osteoporosis in hemodialysis patients revisited by bone histomorphometry: A new insight into an old problem. Kidney Int 2006. [Google Scholar]
- G. A. Block. Mineral Metabolism, Mortality, and Morbidity in Maintenance Hemodialysis. J Am Soc Nephrol 2004. [Google Scholar]
- Eric W. Young, Justin M. Albert, Sudtida Satayathum, David A. Goodkin, Ronald L. Pisoni, Takashi Akiba. Predictors and consequences of altered mineral metabolism: The Dialysis Outcomes and Practice Patterns Study. Kidney Int 2005. [Google Scholar]
- R N Foley, P S Parfrey, M J Sarnak. Clinical epidemiology of cardiovascular disease in chronic renal disease. Am J Kidney Dis 1998. [Google Scholar]
- Bryan Kestenbaum, Joshua N. Sampson, Kyle D. Rudser, Donald J. Patterson, Stephen L. Seliger, Bessie Young. Serum Phosphate Levels and Mortality Risk among People with Chronic Kidney Disease. J Am Soc Nephrol 2005. [Google Scholar]
- Johann Braun, Manfred Oldendorf, Werner Moshage, Rudolf Heidler, Eberhard Zeitler, Friedrich C. Luft. Electron beam computed tomography in the evaluation of cardiac calcifications in chronic dialysis patients. Am J Kidney Dis 1996. [Google Scholar]
- . KDIGO Clinical Practice Guideline for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder. Kidney Int 2009. [Google Scholar]
- A Levey. Cardiovascular disease in chronic renal disease. Nephrol Dial Transplant 1999. [Google Scholar]
- Edwin Straumann, Beat Meyer, Max Misteli, Alfred Blumberg, Hansrudolf Jenzer, Osmund Bertel. Symmetric and asymmetric left ventricular hypertrophy in patients with end-stage renal failure on long-term hemodialysis. Clin Cardiol 1998. [Google Scholar]
- F N Saleh, H Schirmer, J Sundsfjord, Al Et. Parathyroid hormone and left ventricular hypertrophy. Eur Heart J 2003. [Google Scholar]
- H Nasri, A Baradaran, A S Naderi. Close association between parathyroid hormone and left ventricular function and structure in end-stage renal failure patients under maintenance hemodialysis. Acta Med Austriaca 2004. [Google Scholar]
- N Goto, Y Tominaga, S Matsuoka. Cardiovascular complications caused by advanced secondary hyperparathyroidism in chronic dialysis patients special focus on dilated cardiomyopathy. Clin Exp Nephrol 2005. [Google Scholar]
- Sharon M. Moe. Current issues in the management of secondary hyperparathyroidism and bone disease. Perit Dial Int 2001. [Google Scholar]
- G A Block, T E Hulbert-Shearon, N W Levin, F K Port. Association of serum phosphorus and calcium x phosphate product with mortality risk in chronic hemodialysis patients: A national study. Am J Kidney Dis 1998. [Google Scholar]
- K Amann, J Tornig, C Flechtenmacher, Nabokov. Blood-pressure-independent wall thickening of intramyocardial arterioles in experimental uraemia: evidence fora permissive action of PTH. Nephrol Dial Transplant 1995. [Google Scholar]
- K. Kalantar-Zadeh, N. Kuwae, D.L. Regidor, C.P. Kovesdy, R.D. Kilpatrick, C.S. Shinaberger. Survival predictability of time-varying indicators of bone disease in maintenance hemodialysis patients. Kidney Int 2006. [Google Scholar]
- S Patel, J L Barron, M Mirzazedeh, Hugh Gallagher, Steve L Hyer, om Cantor. Changes in bone mineral parameters, vitamin D metabolites, and PTH measurements with varying chronic kidney disease stages. J Bone Miner Metab 2011. [Google Scholar]