Skip to main content
Journal of Clinical and Diagnostic Research : JCDR logoLink to Journal of Clinical and Diagnostic Research : JCDR
. 2017 May 1;11(5):BC01–BC04. doi: 10.7860/JCDR/2017/24762.9806

Diabetes Mellitus in Thalassaemia Major Patients: A Report from the Southeast of Iran

Ali Bazi 1, Javad Sharifi-Rad 2, Daryoush Rostami 3,, Omolbanin Sargazi-Aval 4, Amin Safa 5
PMCID: PMC5483650  PMID: 28658748

Abstract

Introduction

Diabetes Mellitus (DM) represents a major concern in Thalassaemia Major (TM) patients.

Aim

The present study was conducted to evaluate the frequency of Impaired Fasting Glucose (IFG) and DM in TM patients in Southeast of Iran.

Materials and Methods

Fasting Blood Glucose (FBS) was determined using fasting blood samples in 148 TM patients. Demographical data was collected by a questionnaire. Clinical and laboratory variables including cell blood counts, pre-transfusion Haemoglobin (Hb) level, and five-year ferritin were extracted from medical records. Statistical analysis was performed in SPSS19.0 software using chi-square, student t-test and logistic regression.

Results

Females and males comprised 83 (56.1%) and 65 (43.9%) subjects respectively. The mean age and mean five-year ferritin were 17.3±6.1 year-old and 5060.6±2395 ng/ml respectively. Overall, 39 (26.4%) patients had IFG, while 13 (8.8%) were diagnosed with DM. Significant differences were identified in the mean age, volume of transfused blood per occasion, and mean five-years ferritin between the patients with IFG or DM and the patients with normal fasting glucose level. Patients with age >25-year-old had an increased risk of both IFG (OR=4.7,95% CI: 1.3-17, p=0.01) and DM (OR= 7.1, 95% CI: 1-49.2, p=0.04). In addition, splenectomized patients showed a higher risk for IFG (OR=4.3, 95% CI: 1.5-12.1, p=0.005), and ferritin value >6000 ng/ml were associated with an elevated risk of DM (OR=7, 95% CI: 0.8-60.1, p=0.07).

Conclusion

Our results indicated that higher age, mean five-years ferritin, volume of blood transfused per occasion, as well as splenectomy were risk factors of IFG and DM in TM patients.

Keywords: Endocrinopathy, Impaired fasting glucose, Thalassaemia complications

Introduction

Thalassaemia results from defects in normal haemoglobin production, and represents the most common inherited anaemia worldwide. Patients with severe form of thalassaemia (TM or transfusion dependent thalassaemia) require regular blood transfusions in order to maintain an appropriate haemoglobin level. Although, life expectancy of TM patients has improved substantially by regular blood transfusions, secondary haemosiderosis and organ dysfunctions including cardiomyopathies, endocrinopathies, gonadal insufficiency and osteoporosis are yet among the most debating conundrums in TM [1,2].

DM represents a common endocrine complication in TM with occurrence of 20-30% [3]. Background pathophysiologic mechanism leading to DM in TM is unclear; some regard the iron induced pancreas cytotoxicity as the most significant contributor. While this was a traditional idea, a new hypothesis suggests the exhaustion of beta pancreatic cells subsequent to a chronic period of hyperinsulinemia to be involved in development of DM in TM [4]. The later notion is further supported by studies reported a higher fasting insulin level and beta cell functionality in TM patients [5,6]. Thalassaemia associated DM has been reported to be specially more frequent in older patients, and has been considered to be responsible for high rate of morbidities [4]. DM has been associated with higher incidence of cardiac complications and heart failure in TM [7]. In fact, DM may lead to an ongoing organ deterioration despite using chelation therapies in TM patients [8]. Regarding prevalence and comorbidities associated with DM, understanding of risk factors associated with the thalassaemia related DM is crucial.

DM is also a relatively common endocrinopathy among Iranian TM patients accounting for 11-13% of hospitalization cases [9,10]. Previous studies have demonstrated a prevalence of 5-7% of DM in Iranian TM patients [11,12]. In our region, Sistan and Baluchestan province, there are more than 2000 registered TM patients in which 10% of them reside in Sistan area. However, there was no previous study on prevalence of DM and IFG in TM patients in our region. In present study, we evaluated frequency of IFG, DM and their associated factors in patients receiving care in Imam Khomeini hospital of Zabol (major city of Sistan).

Materials and Methods

Present study was conducted in a care center for specialized patients at Imam Khomeini hospital of Zabol city in southeast of Iran within February 2015 to July 2015. There were 207 TM patients receiving clinical care in our center. All the patients registered at our center were included in the study, with those who were <10-year-old and received less than eight units of blood transfusion excluded [13]. A total number of 148 patients were included into our study. An informed consent was acquired from the patients or their parents, and our method was in agreement with Ethical Standards of the Declaration of Helsinki (October 2008 revision).

The Hb level has been maintained above 10 g/dl, and rarely dropped as low as 7 g/dl mainly due to tardiness of the patients to meet the schedule. The patients were from two main ethnic groups residing in our region including Sistani and Baluchestani. Our patients have been transfused at two to four weeks’ intervals; however, shorter periods have generally been assigned to the patients with splenomegaly.

A comprehensive questionnaire was used for obtaining demographical data such as age, sex, blood group, chelation therapy, and history of splenomegaly, splenectomy or hepatomegaly. Further, we studied the clinical records thoroughly for history of hepatitis C and hepatitis B infections, pre-transfusion Hb and cell blood counts, as well as hepatic enzymes; Aspartate Aminotransferase (AST), and Alanine Aminotransferase (ALT). These measures all were calculated based on values of the three last blood receiving occasions. Mean transfused blood per occasion was calculated based on data of the recent year of blood receiving records. Also, ferritin was calculated as a mean value of the past five-years.

FBS was determined using fasting blood samples. The patients who had FBS level of ≥126 mg/dl or the patients with history of receiving insulin therapy were considered as DM. The FBS level of 100-125 mg/dl was regarded as IFG, and normal level of FBS was regarded as <100 mg/dl [4].

Statistical Analysis

We used SPSS version 19.0 software. Descriptive and inferential analyses were done on the studied variables. Independent sample t-test was used for detecting significant differences of means of quantitative variables between diabetic versus non diabetic patients. Chi-square test was performed to detect any significant association between categorical variables and either DM or IFG. Logistic regression was applied for identifying variables predicting the risk of DM or IFG. Statistical significant level was considered at two-tailed p<0.05.

Results

Regarding glucose metabolism, 96 (64.9%) patients showed normal fasting glucose level. Besides, 39 (26.4%) had IFG, and 13 (8.8%) were diagnosed with DM. Mean age of the patients was 17.3±6.1- year-old (range of 10-40 year-old). Demographical, therapeutic, clinical and laboratory characteristics of the patients have been presented in [Table/Fig-1]. Also, [Table/Fig-2] shows these features among groups of normal FBS, IFG, and DM.

[Table/Fig-1]:

Demographic and laboratory charactristics of thalassaemia major patients.

Parameters Minimum Maximum Mean (SD) N=148 n (%)
Age (years) 10-40 17.3 (6.1)
Weight (kg) 15-65 36.4 (10.9)
Total blood volume (ml) 1920-14180 7917.3 (2245)
Mean blood volume (ml) 159- 685 463.4 (112.2)
WBC (*103/μl) 2.6- 51.4 11.3 (7.7)
Haemoglobin (g/dl) 5.4-11.9 9.1 (0.9)
Platelet (*103/μl) 80-1213 348 (187.9)
AST (lU/l) 10-256 52.3 (35.8)
ALT (lU/l) 6-333 58 (55.5)
Five-years mean ferritin (ng//ml) 721-11997 5060.6 (2395)
Five-years maximum ferritin (ng/ml) 800-21605 7904 (4047)
Age categories <15 52 (35.2)
15-25 77 (52)
>25 19 (12.8)
Chelation drug Osveral* 65 (43.9)
Deferoxamine and Deferiprone 49 (33.1)
Deferoxamine and Osveral 15(10.2)
Deferoxamine 19 (12.8)
Five-years mean ferritin (ng/ml) <3000 30 (20.3)
3000-6000 65 (43.9)
>6000 53 (35.8)
Five-years maximum ferritin (ng/ml) <5000 35 (23.7)
5000-8000 44 (29.7)
>8000 69 (46.6)
*

; Iranian synthetic Deferasirox

Abbreviations; WBC: White Blood Cell count, AST; Aspartate Transaminase, ALT; Alanine Transaminase

[Table/Fig-2]:

Demographical, clinical and laboratory features of thalassaemia major patients with normal fasting glucose, impaired fasting glucose and diabetes mellitus.

Parameters Normal FBS
N=96
IFG
N=39
DM
N=13
p
Sex Male 42 19 4 0.4
Female 54 20 9
Age (years) <15 43 7 2 0.01
15-25 44 25 8
>25 9 7 3
Five-years mean ferritin (ng/ml) <3000 22 7 1 0.04
3000-6000 46 16 3
>6000 28 16 9
Five-years maximum ferritin (ng/ml) <5000 27 8 0 0.04
5000-8000 32 8 4
>8000 37 23 9
Therapeutic strategy Mono therapy 58 17 12 0.005
Combinational therapy 38 22 1
Spleen Normal 36 6 2 0.03
Splenomegaly 31 12 4
Splenectomy 29 21 7
Liver Normal 73 33 7 0.08
Hepatomegaly 23 6 6
WBC Normal 61 24 6 0.4
Leukocytosis* 31 14 7
Leukopenia* 4 1 0
Platelet count Normal 61 24 11 0.4
Thrombocytosis* 31 12 2
Thrombocytopenia* 4 3 0
HCV Ab Negative 82 34 12 0.9
Positive 14 5 1
HBs Ag Negative 95 36 13 0.08
Positive 1 3 0
*

Stable high or low cell counts for at least six successive occasions.

IFG; Impaired Fasting Glucose, DM; Diabetes Mellitus, WBC; White Blood Cell Count.

There was a significant association between glucose metabolism and age, therapeutic strategy, and spleen status [Table/Fig-2]. Accordingly, the patients with IFG and DM showed significantly higher mean ages (19.2±5.7 and 19.7±5.9 year-old respectively) than the patients without these conditions (16.3±6.1 year-old, p=0.01). Also, the patients with normal glucose metabolism have been transfused with lower blood volume per occasion (445.4±116.1 ml) in comparison with the patients with IFG (493.7±104.2 ml) or DM (508±74.8 ml, p=0.01). The patients with either IFG or DM also revealed significantly higher mean levels of five-years ferritin (respective values of 5550.7±2513.2 ng/ml and 6975.7±2546.3 ng/ml) than the patients with normal FBS (4652.4±2180 ng/ml, p=0.002). [Table/Fig-3] demonstrates laboratory features of the patients with DM, IFG and normal glucose metabolism.

[Table/Fig-3]:

Comparison between mean values of selected parameters between thalassaemia major patients with DM or IFG and the patients without these conditions.

Parameters Minimum Maximum Mean±SD P
Age (years) Normal 10 40 16.3±6.1 0.01
IFG 10 32 19.2±5.7
DM 10 31 19.7±5.9
Total blood volume per year (ml) Normal 2550 14200 7867.7±2327.2 0.3
IFG 2520 11400 8299.2±1973.6
DM 1920 10800 7336.2±2405.6
Mean blood volume per occasion (ml) Normal 159 600 445.3±116.1 0.01
IFG 229 685 493.7±104.2
DM 314 600 508±74.8
Weight (Kg) Normal 15 65 34.8±11.2 0.03
IFG 17 54 39±10.2
DM 23 53 40.1±8
WBC (*103/μl) Normal 2.7 51.4 10.8±7.8 0.3
IFG 2.6 38.5 11.4±7.5
DM 4.9 35.2 14.3±8.4
Hb (g/dl) Normal 5.7 11.5 9±0.9 0.2
IFG 5.4 11.9 9.3±1
DM 7.3 10.5 8.9±0.9
Plt (*103/μl) Normal 80 1213 369.3±196 0.1
IFG 102 714 317.1±171.7
DM 93 666 278.7±159.7
AST (IU/l) Normal 10 159 47.3±27 0.03
IFG 19 256 57.8±49.9
DM 32 170 72.7±36.9
ALT (IU/l) Normal 6 333 55.6±54.1 0.5
IFG 9 263 61.1±62.5
DM 25 165 66.8±45.9
Five-years mean ferritin (ng/ml) Normal 1027 10500 4652.4±2180 0.002
IFG 721 12000 5550.7±2513.2
DM 2455 10800 6975.7±2546.3
Five-years maximum ferritin (ng/ml) Normal 1475 18700 7228.8±2601.1 0.002
IFG 800 21600 8603.6±4330
DM 5815 20400 11147±4846.9

Abbreviations: IFG; Impaired Fasting Glucose, DM; Diabetes Mellitus, WBC; White Blood Cell Count, Hb; Haemoglobin, Plt; Platelet Count, AST; Aspartate Transaminase, ALT; Alanine Transaminase

In logistic regression analysis, the most significant risk factor of abnormal fasting glucose was age >25 year-old (OR=4.7 for IFG, p= 0.01, and OR=7.1 for DM, p= 0.04). Furthermore, Splencetomy was found to significantly increase the risk of IFG (OR=4.3, p=0.05). Other factors that may contribute to the risk of IFG or DM in patients with TM were monotherapy chelation regime, hepatomegaly, and mean five-years ferritin >6000 ng/ml. [Table/Fig-4] shows results of regression analysis for the studied variables.

[Table/Fig-4]:

Parameters associated with risk of impaired fasting glucose and diabetes mellitus in thalassaemia major patients.

Parameters IFG DM
OR 95% CI p OR 95% CI p
Age (years) <15 Reference Reference
15-25 3.4 1.3-8.9 0.009 3.9 0.7-19.4 0.09
>25 4.7 1.3-17 0.01 7.1 1-49.2 0.04
Chelation therapy Combinational therapy Reference Reference
Monotherapy 0.5 0.2-1 0.07 7.8 0.9-62.9 0.05
Spleen Normal Reference Reference
Splenomegaly 2.3 0.7-6.9 0.1 2.3 0.3-13.5 0.3
Splenectomy 4.3 1.5-12.1 0.005 4.3 0.8-22.5 0.08
Liver Normal Reference Reference
Hepatomegaly 0.5 0.2-1.6 0.3 2.7 0.8-8.9 0.09
HCV Ab Negative Reference Reference
Positive 0.8 0.2-2.5 0.7 0.4 0.05-4 0.5
Five-years mean ferritin (ng/ml) <3000 Reference Reference
3000-6000 1 0.3-3 0.8 1.4 0.1-14.5 0.7
>6000 1.7 0.6-5.1 0.2 7 0.8-60.1 0.07

HCV Ab: Hepatitis C virus antibody

Discussion

In present study, we assessed frequency and risk factors associated with IFG and DM in TM patients. Overall, IFG and DM were identified in 26.4% and 8.8% of our patients respectively. In other studies, DM has been reported with frequency of 5%-15% in Iranian TM patients [12,14]. However, in one study on the Iranian patients with similar ages of our patients (10-22 year-old), the prevalence of DM was 7.3% which is close to our results [11]. DM has also been reported with frequencies of 10.5% in United Arab Emirates [15], 6% in Saudi Arabia [16], 9.4% in Brazil [17], 18.6% in United States of America [13], and 41% in United Kingdom [18].

We noticed that mean ages of the patients with DM (19.7±5.9-year-old) and IFG (19.2±5.7 year-old) were significantly higher than mean age of the patients with normal fasting glucose (16.3±6.1 year-old). The mean age of Iranian TM patients who were diagnosed with DM has been reported 13.9±2.8 year-old by Karamifar H et al., [11]. Despite, the mean age was higher in a previous study conducted in our province; 19.6±4.4 year-old [19]. Most significantly, age was found to be a substantial contributor to the risk of either IFG or DM in our study. We observed that age >25 year-old was associated with an OR=4.7 (95% CI: 1.3-17, p=0.01) for IFG, and an OR=7.1 (95% CI: 1-49.2, p=0.04) for DM. In accordance with our findings, DM has also been associated with older patients in precedent reports [5,18,20]. To explain this, relatively long lag phase for DM development in TM can partly be attributable to the pattern of iron loading following intermittent transfusions. Initially, excess iron is absorbed by splenic macrophages known as Reticulo-Endothelial System (RES). Following saturation of transferrin capacity for up taking Non-Transferrin–Bind Iron (NTBI), as well as releasing of transferrin-bound iron from RES cells, iron initiates to precipitate in hepatocytes. With ongoing entrance of iron to the body from transfusions, NTBI gradually affects myocardium and other parenchymal cells including endocrine glands [21]. This time course is usually reached in third or fourth decades giving that patients effectively used iron chelation drugs, otherwise one can expect the organ complications including DM in younger ages.

We observed a significant relationship between therapeutic strategy (monotherapy or combinational therapy) with DM. In fact, a considerable number of our diabetic patients (12/13) exploited a monotherapeutic strategy. Besides, 11 out of 13 patients who had DM showed poor compliance with chelation therapy. In parallel, the poor compliance and late initiation of chelation therapy have also been associated with abnormal glucose metabolism in TM patients [18,20]. In addition, Egyptian patients who received no chelation or had irregular chelation regimens were reported to have higher fasting glucose level [22]. A median time of six years of deferasirox chelation therapy was shown to effectively control the progression of endocrine complications in TM [23].

We also observed that patients with either IFG or DM received significantly higher mean blood volume per transfusion compared to the patients with normal FBS. In accordance, there has also been a relationship between impaired pancreatic function and the number of transfused blood units in TM patients [5]. In a study conducted by Mehrvar A et al., TM patients with DM have been transfused with higher mean volume of blood per occasion (1.8 blood units) than non diabetic patients (1.6 blood units) [12]. An appropriate chelation therapy is suggested to prevent impaired glucose metabolism and DM in TM patients.

Furthermore, we observed a significant difference for mean five-years ferritin level between the patients with either DM or IFG and the patient with normal fasting glucose in present study. In comparison, serum ferritin has been described as a risk factor for DM in TM patients in previous reports [4,5,20]. An average of ten-years ferritin levels of >1500 ug/l and >1250 ug/l were described to increase the risk of TM related DM 3.4 and 4.9 times respectively [21]. Likewise, ferritin level of 3000 ng/ml has been associated with development of DM and other endocrinopathies in TM [20]. This is also in line with our finding that showed 12 out of 13 patients with DM had mean five-years ferritin level of >3000 ng/ml. In addition, our results revealed a seven times higher risk of DM in the patients with mean five-years ferritin of >6000 ng/ml.

Regarding that patients with TM are at risk of being affected with various organ disabilities, it is highly desirable to provide an organ specific predictor of iron load in these patients. Multiple reports are now available arguing the efficiency and predictability of ferritin level in anticipating organ iron load and toxicity [4]. Iron toxicity is a factor of time exposure to reactive iron species, as well as genetic and environmental factors. A highly variable interaction of these factors is supposed to determine the net organ toxicity [24]. Today, T2 Magnetic Resonance Imaging (MRI) provides a sensitive and non invasive method for assessment of iron content of different organs. In fact, T2 MRI value of pancreas was reported to be inversely associated with FBS level in TM patients [4]. Nevertheless, ferritin provides an inexpensive and easily available indicator of iron loading, and it is still generally acceptable predictor of iron toxicity especially in less developed societies.

A multifactorial approach has been suggested in development of deranged glucose metabolism in TM. Insulin insufficiency due to iron cytotoxicity to the pancreatic β-cells has been proposed as a contributing factor. Regarding that excess iron in pancreatic β-cells can perturb normal signaling and energy resources, regulated iron metabolism is essential for normal secretion of insulin [25]. Genetic susceptibility, liver dysfunction, cirrhosis, liver fibrosis, and viral infections have also been suggested as potential contributing factors to DM in TM [3,4,18,26,27]. Similarly, it was stated that prevalence of DM was significantly higher in TM patients who were seropositive for anti-HCV antibodies [4,28]. In addition to these, cardiac dysfunction has been noted in association with DM in TM [18,21]. Nevertheless, we found a higher risk of IFG and DM in the patients who had either splenomegaly or splenectomy. The patients with IFG also had higher levels of AST hepatic enzyme, which is suggestive for a role of liver abnormalities in predisposing to abnormal glucose metabolism in TM.

Limitation

Our study may have shortcoming using single test of FBS for detecting DM and IFG, while Oral Glucose Tolerance Test (OGTT) could provide diagnosis of these conditions, as well as revealing cases with glucose intolerance. Although, OGTT is used as a common test for diagnosis of DM and glucose dysregulation, and for confirming results of FBS [29], however, based on American Diabetes Association criteria all the OGTT, FBS or HbA1c can be used independently for diagnosis of DM, and IFG [5]. There are also previous studies who diagnosed these situations only based on the FBS results [4]. However, it is clear that an OGTT test should be considered when evaluating impaired glucose tolerance.

Conclusion

A higher risk of abnormal glucose metabolism was found in older splenectomized TM patients in current study. It is critical to monitor TM patients on a routine basis in order to identify patients with IFG and DM. This is of vital importance because of the possibility of prevention the clinical diabetes by administrating regular chelation therapy at earlier phases. Moreover, management of diabetes in preclinical phases may also be accomplished by appropriate nutritional diets.

Acknowledgments

We thank the patients and their parents for their kind cooperation.

Financial or other Competing Interests

None.

References

  • [1].MiriMoghaddam E, Zadeh Vakili A, Rouhani Z, Naderi M, Eshghi P, Khazaei Feizabad A. Molecular basis and prenatal diagnosis of β-thalassaemia among Balouch population in Iran. Prenatal Diagnosis. 2011;31(8):788–91. doi: 10.1002/pd.2767. [DOI] [PubMed] [Google Scholar]
  • [2].Miri-Moghaddam E, Naderi M, Izadi S, Mashhadi M. Causes of new cases of major thalassaemia in sistan and balouchistan province in South-East of Iran. Iranian Journal of Public Health. 2012;41(11):67. [PMC free article] [PubMed] [Google Scholar]
  • [3].Chatterjee R, Bajoria R. New concept in natural history and management of diabetes mellitus in thalassaemia major. Haemoglobin. 2009;33(Suppl 1):S127–30. doi: 10.3109/09553000903347880. [DOI] [PubMed] [Google Scholar]
  • [4].Li MJ, Peng SS, Lu MY, Chang HH, Yang YL, Jou ST, et al. Diabetes mellitus in patients with thalassaemia major. Pediatr Blood Cancer. 2014;61(1):20–24. doi: 10.1002/pbc.24754. [DOI] [PubMed] [Google Scholar]
  • [5].Bhat KG, Periasamy PK. Effect of long-term transfusion therapy on the glycometabolic status and pancreatic beta cell function in patients with beta thalassaemia major. J Family Med Prim Care. 2014;3(2):119–23. doi: 10.4103/2249-4863.137621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Hafez M, Youssry I, El-Hamed FA, Ibrahim A. Abnormal glucose tolerance in β-thalassaemia: assessment of risk factors. Haemoglobin. 2009;33(2):101–08. doi: 10.1080/03630260902817131. [DOI] [PubMed] [Google Scholar]
  • [7].Pepe A, Meloni A, Rossi G, Caruso V, Cuccia L, Spasiano A, et al. Cardiac complications and diabetes in thalassaemia major: a large historical multicentre study. Br J Haematol. 2013;163(4):520–27. doi: 10.1111/bjh.12557. [DOI] [PubMed] [Google Scholar]
  • [8].Farmaki K, Tzoumari I, Pappa C, Chouliaras G, Berdoukas V. Normalisation of total body iron load with very intensive combined chelation reverses cardiac and endocrine complications of thalassaemia major. British Journal of Haematology. 2010;148(3):466–75. doi: 10.1111/j.1365-2141.2009.07970.x. [DOI] [PubMed] [Google Scholar]
  • [9].Karimi M, Emadmarvasti V, Hoseini J, Shoja L. Major causes of hospital admission in beta thalassaemia major patients in southern iran. Iran J Pediatr. 2011;21(4):509–13. [PMC free article] [PubMed] [Google Scholar]
  • [10].Bazrgar M, Peiravian F, Abedpour F, Karimi M. Causes for hospitalization and death in Iranian patients with beta-thalassaemia major. Pediatr Hematol Oncol. 2011;28(2):134–39. doi: 10.3109/08880018.2010.503336. [DOI] [PubMed] [Google Scholar]
  • [11].Karamifar H, Shahriari M, Sadjadian N. Prevalence of endocrine complications in beta-thalassaemia major in the Islamic Republic of Iran. East Mediterr Health J. 2003;9(1-2):55–60. [PubMed] [Google Scholar]
  • [12].Mehrvar A, Azarkeivan A, Faranoush M, Mehrvar N, Saberinedjad J, Ghorbani R, et al. Endocrinopathies in patients with transfusion-dependent beta-thalassaemia. Pediatr Hematol Oncol. 2008;25(3):187–94. doi: 10.1080/08880010801938207. [DOI] [PubMed] [Google Scholar]
  • [13].Noetzli LJ, Mittelman SD, Watanabe RM, Coates TD, Wood JC. Pancreatic iron and glucose dysregulation in thalassaemia major. Am J Hematol. 2012;87(2):155–60. doi: 10.1002/ajh.22223. [DOI] [PubMed] [Google Scholar]
  • [14].Shams S, Ashtiani MTH, Monajemzadeh M, Koochakzadeh L, Irani H, Jafari F, et al. Evaluation of serum insulin, glucose, lipid profile, and liver function in β-thalassaemia major patients and their correlation with iron overload. Laboratory Medicine. 2010;41(8):486–89. [Google Scholar]
  • [15].Belhoul KM, Bakir ML, Kadhim AM, Dewedar HE, Eldin MS, Alkhaja FA. Prevalence of iron overload complications among patients with b-thalassaemia major treated at Dubai Thalassaemia Centre. Ann Saudi Med. 2013;33(1):18–21. doi: 10.5144/0256-4947.2013.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16].El-Hazmi M, Al-Swailem A, Al-Fawaz I, Warsey A, Al-Swailem A. Diabetes mellitus in children suffering from β-thalassaemia. Journal of Tropical Pediatrics. 1994;40(5):261–66. doi: 10.1093/tropej/40.5.261. [DOI] [PubMed] [Google Scholar]
  • [17].De Assis RA, Ribeiro AA, Kay FU, Rosemberg LA, Nomura CH, Loggetto SR, et al. Pancreatic iron stores assessed by magnetic resonance imaging (MRI) in beta thalassemic patients. Eur J Radiol. 2012;81(7):1465–70. doi: 10.1016/j.ejrad.2011.03.077. [DOI] [PubMed] [Google Scholar]
  • [18].Chatterjee R, Bajoria R. New concept in natural history and management of diabetes mellitus in thalassaemia major. Haemoglobin. 2009;33(sup1):S127–S30. doi: 10.3109/09553000903347880. [DOI] [PubMed] [Google Scholar]
  • [19].Jahantigh M, Naderi M, Dorgalaleh A, Tabibian S. Prevalence of diabetes and impaired glucose tolerance test in patients with thalassaemia major. Zahedan Journal of Research in Medical Sciences. 2014;16(1):86–88. [Google Scholar]
  • [20].Gamberini MR, De Sanctis V, Gilli G. Hypogonadism, diabetes mellitus, hypothyroidism, hypoparathyroidism: incidence and prevalence related to iron overload and chelation therapy in patients with thalassaemia major followed from 1980 to 2007 in the Ferrara Centre. Pediatr Endocrinol Rev. 2008;6(Suppl 1):158–69. [PubMed] [Google Scholar]
  • [21].Ang AL, Tzoulis P, Prescott E, Davis BA, Barnard M, Shah FT. History of myocardial iron loading is a strong risk factor for diabetes mellitus and hypogonadism in adults with beta thalassaemia major. Eur J Haematol. 2014;92(3):229–36. doi: 10.1111/ejh.12224. [DOI] [PubMed] [Google Scholar]
  • [22].Metwalley KA, El-Saied A-RA-H. Glucose homeostasis in Egyptian children and adolescents with β-Thalassaemia major: Relationship to oxidative stress. Indian Journal of Endocrinology and Metabolism. 2014;18(3):333. doi: 10.4103/2230-8210.131169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Casale M, Citarella S, Filosa A, De Michele E, Palmieri F, Ragozzino A, et al. Endocrine function and bone disease during long-term chelation therapy with deferasirox in patients with beta-thalassaemia major. Am J Hematol. 2014;89(12):1102–06. doi: 10.1002/ajh.23844. [DOI] [PubMed] [Google Scholar]
  • [24].Coates TD, Carson S, Wood JC, Berdoukas V. Management of iron overload in haemoglobinopathies: what is the appropriate target iron level? Ann N Y Acad Sci. 2016;1368(1):95–106. doi: 10.1111/nyas.13060. [DOI] [PubMed] [Google Scholar]
  • [25].Wang X, Fang X, Wang F. Pleiotropic actions of iron balance in diabetes mellitus. Reviews in Endocrine and Metabolic Disorders. 2015;16(1):15–23. doi: 10.1007/s11154-014-9303-y. [DOI] [PubMed] [Google Scholar]
  • [26].Mowla A, Karimi M, Afrasiabi A, De Sanctis V. Prevalence of diabetes mellitus and impaired glucose tolerance in beta-thalassaemia patients with and without hepatitis C virus infection. Pediatric Endocrinology Reviews: PER. 2004;2:282–84. [PubMed] [Google Scholar]
  • [27].Gamberini MR, Fortini M, De Sanctis V, Gilli G, Testa MR. Diabetes mellitus and impaired glucose tolerance in thalassaemia major: incidence, prevalence, risk factors and survival in patients followed in the Ferrara Center. Pediatr Endocrinol Rev. 2004;2(Suppl 2):285–91. [PubMed] [Google Scholar]
  • [28].Mowla A, Karimi M, Afrasiabi A, De Sanctis V. Prevalence of diabetes mellitus and impaired glucose tolerance in beta-thalassaemia patients with and without hepatitis C virus infection. Pediatr Endocrinol Rev. 2004;2(Suppl 2):282–84. [PubMed] [Google Scholar]
  • [29].sıklar Z, Çıtak FE, Uysal Z, Öçal G, Ertem M, Engiz Ö, et al. Evaluation of glucose homeostasis in transfusion-dependent thalassemic patients. Pediatric Hematology and Oncology. 2008;25(7):630–37. doi: 10.1080/08880010802313681. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical and Diagnostic Research : JCDR are provided here courtesy of JCDR Research & Publications Private Limited

RESOURCES