1: Diagnosis, classification, epidemiology and biochemistry

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Section 1 Diagnosis, classification, epidemiology and biochemistry

The syndrome of diabetes mellitus

Diabetes mellitus is defined as a metabolic disorder of multiple aetiology characterized by chronic hyperglycaemia with disturbances of carbohydrate, protein and fat metabolism resulting from defects in insulin secretion, insulin action, or both. The clinical diagnosis of diabetes is often indicated by the presence of symptoms such as polyuria, polydipsia and unexplained weight loss, and is confirmed by documented hyperglycaemia.

The clinical presentation ranges from asymptomatic type 2 diabetes to the dramatic life-threatening conditions of diabetic ketoacidosis (DKA) or hyperosmolar non-ketotic coma (HONK)/hyperosmolar hyperglycaemic state (HHS). The principal determinants of the presentation are the degrees of insulin deficiency and insulin resistance, although additional factors may also be important. In addition, pathological hyperglycaemia sustained over several years may produce functional and structural changes within certain tissues. Patients may present with macrovascular complications that include ischaemic heart disease, stroke and peripheral vascular disease, whereas the specific microvascular complications of diabetes include retinopathy, nephropathy, neuropathy.

Diagnostic criteria for diabetes mellitus

Assigning a type of diabetes to an individual often depends on the circumstances present at the time of diagnosis, and many diabetic individuals do not easily fit into a single specific type. An example is a person who has acquired diabetes because of large doses of exogenous steroids and who becomes normoglycaemic once the glucocorticoids are discontinued. In addition, some patients may present with major metabolic decompensation yet can subsequently be treated successfully with oral agents. Thus, for the clinician and patient, it is less important to label the particular type of diabetes than it is to understand the pathogenesis of the hyperglycaemia and to treat it effectively.

The American Diabetes Association (ADA, 2011) gives the following criteria for the diagnosis of diabetes:

The symptoms of thirst, polyuria, polyphagia and weight loss, coupled with a raised plasma glucose level, are diagnostic. In the absence of symptoms two abnormal results (i.e. two raised fasting levels) or an abnormal OGTT result is diagnostic. However, the OGTT is influenced by many factors other than diabetes, including age, diet, state of health, gastrointestinal disorders, medications and emotional stress.

Categories of increased risk for diabetes (pre-diabetes): impaired fasting glucose (IFG)/impaired glucose tolerance (IGT)

The ADA criteria introduced the category of impaired fasting glucose, defined as fasting venous plasma level of 5.6–6.9 mmol/L. The diagnosis of impaired glucose tolerance can be made only using a 75-g oral glucose tolerance test; a 2-h glucose measurement points to the diagnosis of impaired glucose tolerance when the plasma glucose is found to be greater than 7.7 mmol/L but less than 11.1 mmol/L. Recently another category, impaired glycated haemoglobin, HbA1c (A1C 5.7–6.4%), has been added.

Categories of increased risk for diabetes (pre-diabetes) (ADA, 2011)

The diagnosis of impaired glucose tolerance relies on glucose tolerance testing (see below) and denotes an intermediate stage between normality and diabetes. Patients with impaired glucose tolerance, although not at direct risk of developing chronic microvascular disease, may be detected following the development of macrovascular complications:

The presence of one of these conditions should therefore alert the clinician to the possibility of undiagnosed impaired glucose tolerance or type 2 diabetes, even in the absence of osmotic symptoms.

Interpretation of the results of a 75-g glucose tolerance test is presented in Table 1.2. Note that results apply to venous plasma: whole blood values are 15% lower than corresponding plasma values if the haematocrit is normal. For capillary whole blood, the diagnostic cut-offs for diabetes are ≥ 6.1 mmol/L (fasting) and 11.1 mmol/L (i.e. the same as for venous plasma). The range for impaired fasting glucose based on capillary whole blood is ≥ 5.6 and < 6.9 mmol/L. Note that marked carbohydrate deprivation can impair glucose tolerance; the subject should have received adequate nutrition in the days preceding the test.

Non-diabetic hyperglycaemia

As detailed above, impaired fasting glycaemia (IFG) is defined as a fasting glucose > 5.6 and < 7.0 mmol/L, whereas impaired glucose tolerance (IGT) is defined as fasting glucose < 7 mmol/L and 2-h glucose > 7.8 and < 11.1 mmol/L. IGT and IFG are both associated with an increased risk of future diabetes. However, IFG and IGT appear to have different underlying aetiologies. IFG reflects raised hepatic glucose output and a defect in early insulin secretion, whereas IGT predominantly reflects peripheral insulin resistance. IGT is also associated with an increased risk of cardiovascular disease (CVD) independently of other risk factors. The magnitude of this increased risk varies between studies, but for cardiovascular disease mortality the odds ratio was 1.34 (95% CI 1.14–1.57) in the DECODE (2003) meta-analysis. IFG appears to have only a slightly increased risk of CVD independently of other factors.

The term ‘pre-diabetes’, which is sometimes used to refer to IGT and/or IFG, is no longer the preferred term because not all patients go on to develop diabetes. A significant proportion of individuals who have impaired glucose tolerance diagnosed by an OGTT revert to normal glucose tolerance on retesting. Non-diabetic hyperglycaemia (NDH) is increasingly being used as a wider term that encompasses hyperglycaemia where the HbA1c level is raised but is below the diabetic range (Table 1.3).

Classification of diabetes mellitus

Type 1 diabetes (β-cell destruction, usually leading to absolute insulin deficiency)

The diagnosis and management of DKA are considered in more detail in Section 4.

Type 1 accounts for only 5–10% of those with diabetes and was previously encompassed by the terms insulin-dependent diabetes or juvenile-onset diabetes. It results from a cellular-mediated autoimmune destruction of the β-cells of the pancreas. Markers of the immune destruction of the β-cell include islet cell autoantibodies, autoantibodies to insulin, autoantibodies to glutamic acid decarboxylase (GAD65), and autoantibodies to the tyrosine phosphatases IA-2 and IA-2β. One or, usually, more of these autoantibodies are present in 85–90% of individuals when fasting hyperglycaemia is initially detected. In addition, the disease has strong human leukocyte antigen (HLA) associations, with linkage to the DQA and DQB genes, and it is influenced by the DRB genes. These HLA-DR/DQ alleles can be either predisposing or protective.

In this form of diabetes, the rate of β-cell destruction is quite variable, being rapid in some individuals (mainly infants and children) and slow in others (mainly adults). Some patients, particularly children and adolescents, may present with ketoacidosis as the first manifestation of the disease. Others have modest fasting hyperglycaemia that can change rapidly to severe hyperglycaemia and/or ketoacidosis in the presence of infection or other stress. Still others, particularly adults, may retain residual β-cell function sufficient to prevent ketoacidosis for many years. Immune-mediated diabetes commonly occurs in childhood and adolescence, but it can occur at any age, even in the eighth and ninth decades of life.

Autoimmune destruction of β-cells has multiple genetic predispositions and is also related to environmental factors that are still poorly defined. These patients are also prone to other autoimmune disorders such as Graves’ disease, Hashimoto’s thyroiditis, Addison’s disease, vitiligo, coeliac disease, autoimmune hepatitis, myasthenia gravis and pernicious anaemia.

Type 2 diabetes (ranging from predominantly insulin resistant with relative insulin deficiency to predominantly an insulin secretory defect with insulin resistance)

The majority of patients with type 2 diabetes are diagnosed at a relatively late stage of a long, pathological process that has its origins in the patient’s genotype (or perhaps intrauterine experience), and develops and progresses over many years.

The presenting clinical features of type 2 diabetes range from none at all to those associated with the dramatic and life-threatening, hyperglycaemic emergency of the hyperosmolar non-ketotic syndrome (HONK)/hyperosmolar hyperglycaemic state (HHS). In many patients with lesser degrees of hyperglycaemia, symptoms may go unnoticed or unrecognized for many years; however, such undiagnosed diabetes carries the risk of insidious tissue damage. It has been estimated that patients with type 2 diabetes have often had pathological degrees of hyperglycaemia for several years before the diagnosis is made. For example, more than 5 million people in the USA alone may have undiagnosed diabetes.

This form of diabetes, which accounts for about 90–95% of those with diabetes, previously referred to as non-insulin-dependent diabetes, type II diabetes or adult-onset diabetes, encompasses individuals who have insulin resistance and usually have relative (rather than absolute) insulin deficiency. At least initially, and often throughout their lifetime, these individuals do not need insulin treatment to survive.

There are probably many different causes of this form of diabetes. Islet mass is reduced with deposition of islet amyloid polypeptide; the latter produces striking histological changes within the islets, yet its role in the initiation and progression of type 2 diabetes is not known. Increased plasma levels of proinsulin-like molecules indicate β-cell dysfunction; this is an early feature, being demonstrable prior to the development of diabetes in high-risk groups. Autoimmune destruction of β-cells does not occur, and patients do not have any of the other causes of diabetes listed above or below.

Most patients with type 2 diabetes are obese, and obesity itself causes some degree of insulin resistance. The absence of weight loss reflects the presence of sufficient secretion of endogenous insulin to prevent catabolism of protein and fat. Patients who are not obese by traditional weight criteria may have an increased percentage of body fat distributed predominantly in the abdominal region. Ketoacidosis seldom occurs spontaneously in this type of diabetes; when seen, it usually arises in association with the stress of another illness, such as infection. Type 2 diabetic patients are at increased risk of developing macrovascular and microvascular complications. Whereas patients with this form of diabetes may have insulin levels that appear normal or increased, the higher blood glucose levels in these diabetic patients would be expected to result in even higher insulin values had their β-cell function been normal. Thus, insulin secretion is defective and insufficient to compensate for insulin resistance. Insulin resistance may improve with weight reduction and/or pharmacological treatment of hyperglycaemia, but is seldom restored to normal. The risk of developing type 2 diabetes increases with age, obesity and lack of physical activity. It occurs more frequently in women with previous gestational diabetes mellitus (GDM) and in individuals with hypertension or dyslipidaemia. Its frequency varies in different racial/ethnic subgroups. It is often associated with a strong genetic predisposition – more so than the autoimmune form of type 1 diabetes.

Aetiology of type 2 diabetes

There is a strong inheritable genetic connection in type 2 diabetes: having relatives (especially first-degree relatives) with type 2 diabetes increases substantially the risk of developing type 2 diabetes. The genetics are complex and not completely understood, but presumably the disease is related to multiple genes. Only a handful of genes have been identified so far: genes for calpain-10, potassium inward-rectifier 6.2, peroxisome proliferator-activated receptor-γ and insulin receptor substrate-1. Evidence also supports inherited components for pancreatic β-cell failure and insulin resistance.

Considerable debate exists regarding the primary defect in type 2 diabetes mellitus. Most patients have insulin resistance and some degree of insulin deficiency. However, insulin resistance per se is not the sine qua non for type 2 diabetes because many people with insulin resistance (particularly those who are obese) do not develop glucose intolerance. Therefore, insulin deficiency is necessary for the development of hyperglycaemia. Insulin concentrations may be high, yet inappropriately low for the level of glycaemia. Several mechanisms have been proposed, including increased non-esterified fatty acids, inflammatory cytokines, adipokines and mitochondrial dysfunction for insulin resistance, and glucotoxicity, lipotoxicity and amyloid formation for β-cell dysfunction.

Presumably, the defects of type 2 diabetes occur when a diabetogenic lifestyle (excessive caloric intake, inadequate caloric expenditure, obesity) is superimposed upon a susceptible genotype. The body mass index (BMI) at which excess weight increases risk for diabetes varies with different racial groups. For example, compared with persons of European ancestry, persons of Asian ancestry are at increased risk for diabetes at lower levels of waist circumference/BMI. This can be seen from the adoption of the type 2 epidemiological pattern in those who have moved to a different environment in comparison with the same genetic pool of persons who have not, for instance in immigrants to Western developed countries compared with the lower incidence of countries of their origin.

Other specific types of diabetes

Genetic defects of the β-cell

Several forms of diabetes are associated with monogenetic defects in β-cell function. These forms of diabetes are frequently characterized by onset of hyperglycaemia at an early age (generally before age 25 years). They are referred to as maturity-onset diabetes of the young (MODY) and are characterized by impaired insulin secretion with minimal or no defects in insulin action. They are inherited in an autosomal dominant pattern. Abnormalities at over six genetic loci on different chromosomes have been identified to date. The most common form is associated with mutations on chromosome 12 in a hepatic transcription factor referred to as hepatocyte nuclear factor (HNF)-1α; MODY3 accounts for 70% of the MODY population A second form is associated with mutations in the glucokinase gene on chromosome 7p and results in a defective glucokinase molecule. Glucokinase converts glucose to glucose 6-phosphate, the metabolism of which, in turn, stimulates insulin secretion by the β-cell. Thus, glucokinase serves as the ’glucose sensor’ for the β-cell. Because of defects in the glucokinase gene, increased plasma levels of glucose are necessary to elicit normal levels of insulin secretion. Patients with MODY2 present with a less severe form of hyperglycaemia that can be managed with medical nutrition therapy alone. The less common forms result from mutations in other transcription factors, including HNF-4α, HNF-1β, insulin promoter factor (IPF)-1 and NeuroD1 (Table 1.6). Up to 15% of patients with MODY present with clinical characteristics of MODY, but do not have any known mutation and are classified as MODY-X until further genetic loci have been explored.

Table 1.6 Aetiological classification of diabetes mellitus

A. Genetic defects of β-cell function

B. Genetic defects in insulin action

C. Diseases of the exocrine pancreas

D. Endocrinopathies

E. Drug or chemical induced

F. Infections

G. Uncommon forms of immune-mediated diabetes

H. Other genetic syndromes sometimes associated with diabetes

Patients with any form of diabetes may require insulin treatment at some stage of their disease. Such use of insulin does not, of itself, classify the patient.

HNF, hepatocyte nuclear factor; IPF, insulin promoter factor; MODY, maturity-onset diabetes of the young.

Source: American Diabetes Association (2011). Reproduced with permission.

Molecular genetic testing

Knowledge of the genotype in the unaffected child of a patient with this syndrome offers the possibility of a firm diagnosis or, importantly, exclusion of the possibility of diabetes in later life. If the genetic testing is negative, no screening will be necessary and individuals and their families can be reassured. If an unaffected offspring is found to have a MODY2 mutation, then annual testing of fasting plasma glucose and, for females, awareness of the importance of excellent glycaemic control before conception and during pregnancy are required. Identification of a MODY1 or MODY3 genotype necessitates more rigorous, regular screening through childhood, adolescence and early adult life to detect the development of diabetes, as pharmacological treatment, including insulin, is likely to prove necessary. Such testing raises ethical issues and it has been suggested that it should be offered only after appropriate genetic counselling. Whether such knowledge will ultimately allow intervention to prevent or retard the appearance of diabetes is currently uncertain.

Point mutations in mitochondrial DNA have been found to be associated with diabetes mellitus and deafness. The most common mutation occurs at position 3243 in the tRNA leucine gene, leading to an A-to-G transition. An identical lesion occurs in the MELAS (mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like) syndrome; however, diabetes is not part of this syndrome, suggesting different phenotypic expressions of this genetic lesion.

Genetic abnormalities that result in the inability to convert proinsulin to insulin have been identified in a few families, and such traits are inherited in an autosomal dominant pattern. The resultant glucose intolerance is mild. Similarly, the production of mutant insulin molecules with resultant impaired receptor binding has also been identified in a few families. It is associated with an autosomal inheritance and only mildly impaired or even normal glucose metabolism.

Second-generation antipsychotic agents

Epidemiological studies suggest an increased risk of hyperglycaemia-related adverse events in patients treated with the atypical antipsychotics (AAPs). Precise risk estimates for hyperglycaemia-related adverse events are not available. Assessment of the relationship between AAPs and glucose abnormalities is complicated by an increased background risk of diabetes mellitus in patients with schizophrenia and the increasing incidence of diabetes mellitus in the general population. Given these confounders, the relationship between, as well as the mechanisms involved in, AAP use and hyperglycaemia-related adverse events is not completely understood. The mechanisms involved in the development of hyperglycaemia are unclear. A meta-analysis of observational studies showed that there was a 1.3-fold increased risk of diabetes in people with schizophrenia taking second-generation antipsychotics compared with the risk in those receiving a first-generation antipsychotic agent. Studies also indicate that the hyperglycaemia is not dose-dependent, is frequently reversible on cessation of treatment with AAPs, and frequently reappears on reintroduction of these therapies. Despite discontinuation of the suspect drug, some patients require continuation of antidiabetic treatment.

Patients with an established diagnosis of diabetes mellitus who are started on AAPs should be monitored regularly for worsening of glucose control. Patients with risk factors for diabetes mellitus (e.g. obesity, family history of diabetes, hypertension) who are starting treatment with AAPs should undergo fasting blood glucose testing/HbA1c measurements at the beginning of treatment and periodically during treatment. Patients should also be monitored for the osmotic symptoms of hyperglycaemia.

Uncommon forms of immune-mediated diabetes

In this category, there are two known conditions, and others are likely to occur. The ‘stiff man’ syndrome is an autoimmune disorder of the central nervous system characterized by stiffness of the axial muscles with painful spasms. Patients usually have high titres of the GAD autoantibodies, and approximately one-third will develop diabetes.

Anti-insulin receptor antibodies can cause diabetes by binding to the insulin receptor, thereby blocking the binding of insulin to its receptor in target tissues. However, in some cases, these antibodies can act as an insulin agonist after binding to the receptor and thereby cause hypoglycaemia. Anti-insulin receptor antibodies are occasionally found in patients with systemic lupus erythematosus and other autoimmune diseases. As in other states of extreme insulin resistance, patients with anti-insulin receptor antibodies often have acanthosis nigricans. In the past, this syndrome was termed type B insulin resistance.

Ataxia telangiectasia, an autosomal recessive disorder, is found to be associated with an anti-insulin antibody-mediated insulin-resistant form of diabetes. Another form of autoimmune insulin syndrome with hypoglycaemia has been described in Japan, and is caused by polyclonal insulin-binding autoantibodies that bind to endogenously synthesized insulin. If the insulin dissociates from the antibodies several hours after a meal, hypoglycaemia ensues.

In plasma cell dyscrasias, such as multiple myeloma, the plasma cells may produce monoclonal antibodies against insulin, causing hypoglycaemia by a similar mechanism.

Gestational diabetes mellitus (GDM)

GDM is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. The definition applies regardless of whether only diet modification or insulin is used for treatment, or whether the condition persists after pregnancy. It does not exclude the possibility that unrecognized glucose intolerance may have antedated or begun concomitantly with the pregnancy. GDM complicates 1–14% of pregnancies in the UK, depending on the population studied. GDM represents nearly 90% of all pregnancies complicated by diabetes.

Testing for gestational diabetes

Risk assessment for GDM should be undertaken at the first prenatal visit. Previous recommendations included screening for GDM in all pregnancies. Women with clinical characteristics consistent with a high risk of GDM (marked obesity, personal history of GDM, glycosuria, or a strong family history of diabetes) should undergo oral glucose testing (OGTT; see below) as soon as feasible. If they are found not to have GDM at that initial screening, they should be retested between 24 and 28 weeks of gestation. Women of average risk should have testing undertaken at 24–28 weeks’ gestation.

Confirmation of the diagnosis precludes the need for any glucose challenge. In the absence of this degree of hyperglycaemia, evaluation for GDM in women with average or high-risk characteristics should include a diagnostic OGTT.

Following publication of the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) trial, the International Association of Diabetes and Pregnancy Study Groups (IADPSG), an international consensus group with representatives from multiple obstetrical and diabetes organizations, including ADA, developed revised recommendations for diagnosing GDM (Table 1.7):

Table 1.7 Screening for and diagnosis of gestational diabetes mellitus (GDM)

75-g OGTT, with plasma glucose measurement fasting, 1 h and 2 hrs, at 24–28 weeks of gestation in women not previously diagnosed with overt diabetes
The OGTT should be performed in the morning after an overnight fast of at least 8 h
The diagnosis of GDM is made when any of the following plasma glucose values are exceeded:

OGTT, oral glucose tolerance test.

Epidemiology

Diabetes is one of the most common forms of chronic diseases globally, affecting almost all ethnic groups. In 2011 it was estimated that in 366 million people worldwide suffered from diabetes, most of them living in developing nations (see appendix 1.1, figure 1.5). Globally, almost 6.6% of those aged 20–80 years were estimated to suffer from diabetes. Some 80% of people with diabetes live in low- and middle-income countries. This figure is estimated to increase to 552 million by 2030 (see appendix 1.1, figure 1.6), with the greatest increase in developing countries such as India and China; (see appendix 1.1, figure 1.7) 183 million people (50%) with diabetes are undiagnosed. Traditionally diabetes was thought to be a disease affecting people aged over 55 years. It is now increasingly appreciated that the age of onset of diabetes, especially in developing countries, is decreasing. In India it is estimated that 70% of all new-onset diabetes is in those aged less than 45 years of age.

Type 2 diabetes accounts for at least 90% of all diabetes worldwide. Rapid urbanization, increasing consumption of high-energy food, and sedentary lifestyles is leading to this rapid rise in the number of people suffering from diabetes. The increase in diabetes prevalence, especially in young adults, is likely to lead to an escalation of healthcare costs, and to increased mortality and morbidity along with loss of economic growth.

This rapid rise is occurring in parallel with the obesity epidemic. There is also a sharp rise in the number of patients with impaired glucose tolerance and impaired fasting glucose. This group of patients, with so-called pre-diabetes, is at increased risk of developing in diabetes in future and should be the target of preventive strategies.

The prevalence of type 1 diabetes is also stated to be rising, especially in Scandanavian countries. It tends to occur in genetically susceptible individuals. Some 10–20% of all newly diagnosed cases occur in those who have an affected first-degree relative. Viral infections and nutritional factors have been implicated in the development of type 1 diabetes.

Type 1 diabetes

The incidence of type 1 diabetes shows considerable geographical variation. The highest rates are in Finland, Norway, Sweden and Denmark, with Japan having the lowest incidence amongst the developed countries. In the UK, Finland and Poland the incidence has been rising in recent years; other countries have also reported increasing rates. For example, in the young in Scotland, diabetes is the most common metabolic disease, with an annual incidence of 35 per 100 000 population in 2003 with a near quadrupling of new cases in the last 40 years.

Variable incidence rates between and within populations are cited as evidence of pathogenetic environmental factors (e.g. viruses, toxins). Intrauterine factors may be important and affect early development. In particular, placental transmission of viruses leading to type 1 diabetes (e.g. rubella) is widely recognized. Possibly cereals, food toxins and enteroviruses trigger islet autoimmunity through intrauterine exposure during pregnancy. Some studies have shown positive associations between diabetes and duration of breastfeeding and the early introduction of cow’s milk, whereas others have found no effect.

The peak age of presentation is 11–13 years; however, type 1 diabetes can affect any age group, even the very elderly. In some populations, up to 20% of patients diagnosed initially with type 2 diabetes prove to have evidence of autoimmune activity more typical of type 1 diabetes; such patients respond initially to oral antidiabetic agents but have an early requirement for insulin therapy. Reports of circulating antibodies directed to glutamic acid decarboxylase (GAD) in such patients point to progressive β-cell destruction. This form has been called ‘latent autoimmune diabetes in adults’ (LADA).

Predicting type 1 diabetes

The increase in understanding of the pathogenesis of type 1 diabetes mellitus has made it possible to consider intervention to slow the autoimmune disease process in an attempt to delay or even prevent the onset of hyperglycaemia. Subjects who are at high risk of developing type 1 diabetes can be identified using a combination of immune, genetic and metabolic markers.

However, because only around 10% of patients have a first-degree relative with the disorder, general population screening is not feasible with present strategies. Moreover, prediction, even in higher-risk groups, is imperfect and the complex methodology is not available other than for clinical trials. For relatives of a patient with type 1 diabetes, approximate risks for developing the syndrome are as follows:

Approximately 30–50% of identical (monozygotic) twins and up to 20% of non-identical (dizygotic) twins will ultimately develop type 1 diabetes if the other twin is affected. Experimental interventions to limit β-cell damage using potentially toxic immunosuppressive agents (e.g. ciclosporin) at diagnosis have proved to be, at best, only partially effective; this reflects the extensive and irreversible loss of β-cells by the time of presentation.

Diabetes is one of the most common forms of chronic disease, globally affecting almost all ethnic groups. It is estimated that 285 million people worldwide suffer from diabetes, most of them living in developing nations. It is estimated that almost 6.6% of those aged 20–80 years suffer from diabetes globally. This figure is estimated to increase to 438 million by 2030, with the greatest increase in developing countries such as India and China. Traditionally diabetes was thought to be a disease affecting people aged over 55 years. It is now increasingly appreciated that the age of onset of diabetes, especially in developing countries, is decreasing. In India it is estimated that 70% of all cases of new-onset diabetes are in those aged less than 45 years.

Type 2 diabetes accounts for at least 90% of all diabetes worldwide. Rapid urbanization, increasing consumption of high-energy food and sedentary lifestyles are leading to this rapid rise in the number of patients suffering from diabetes. The increase in diabetes prevalence, especially in young adults, is likely to lead to an escalation of health-care costs and to increased mortality and morbidity rates, along with loss of economic growth.

This rapid rise is occurring in parallel with the obesity epidemic. There is also a sharp rise in the number of patients with impaired glucose tolerance and impaired fasting glucose (Table 1.9). These patients, with so-called pre-diabetes, are at increased risk of developing diabetes in the future and should be the target of preventive strategies.

Table 1.9 Diabetes and impaired glucose tolerance (IGT) for 2011 and 2030

  2010 2030
Total world population (billions) 7.0 8.3
Adult population (20–79 years, billions) 4.4 5.6
Diabetes and IGT (20–79 years)
Global prevalence (%) 8.3 9.9
Comparative prevalence (%) 8.5 8.9
No. of people with diabetes (millions) 366 552
IGT
Global prevalence (%) 6.4 7.1
Comparative prevalence (%) 6.5 6.7
No. of people with IGT (millions) 280 398

Source: International Diabetes Federation. IDF Diabetes Atlas, 5th edn. IDF, Brussels; 2011. Reproduced with permission.

The lowest prevalence (< 3%) has been reported in the least developed countries; by contrast, the highest prevalence rates (30–50% of adults) are observed in populations (e.g. North American Indians, Pacific Islanders, Australian Aborigines) that have undergone radical changes from traditional to westernized lifestyles (see below). The Pima Indians of Arizona have the highest prevalence, with over 50% of adults aged 35 years or above having diabetes. The prevalence of diabetes is also high in migrant populations; for example, South Asians in the UK have a 4-fold higher rate than the indigenous white population. Thus, type 2 diabetes represents an enormous, and rapidly expanding, global public health problem.

Global maps illustrating the projected increase from 2010 to 2030 in the prevalence of diabetes, by region, can be found in Appendix 1.1.

The increasing prevalence of type 2 diabetes depends on a number of factors:

an increase in the levels of obesity. (Data from the Framingham study show that almost all of the increase in diabetes prevalence in the USA is due to obesity)

demographic change – half of all people with diabetes are over 65 years old, so as the population ages the prevalence increases

a fall in the age of onset of type 2 diabetes – people developing diabetes at an earlier age probably reflects weight gain compared with previous generations

better survival with diabetes because of better control of blood glucose, blood pressure and hyperlipidaemia

changes in the definition of diabetes, with the diagnosis made at a lower level of fasting

better detection of diabetes due to opportunistic case-finding, practice-based screening and greater public awareness

in developing countries, prevalence differs significantly owing to differences in diet, physical exercise and socioeconomic factors – the urban rate is generally assumed to be twice the rural estimate

for the world as a whole there are more women than men with diabetes. The female excess is pronounced in the developed countries, but in developing countries the numbers are equal

from 1995 to 2025 the adult population is predicted to increase by 64% and the prevalence of diabetes will increase by 35% (a real increase in the number of diabetic patients of 122%)

in developed countries there will be an increase in the adult population of 11% with a 27% increase in the prevalence of diabetes

in developing countries there will be an increase in the adult population of 82% with a 48% increase in the prevalence of diabetes (an increase in the number of diabetic patients of 170%).

Prediction and prevention

It is impossible accurately to predict who will develop type 2 diabetes. Major gaps in understanding of the aetiology of this heterogeneous disorder need to be filled before this will become feasible. However, it is possible to define groups at higher than average risk of developing type 2 diabetes. Factors that have been identified include:

Clinical studies have suggested that the risk of progression from a high-risk group such as impaired glucose tolerance to type 2 diabetes may be averted (or at least postponed) by measures such as dietary advice and supervised physical training (e.g. the Malmö Study in Sweden and the Diabetes Prevention Study in Finland). The US Diabetes Prevention Program showed a 58% reduction (with lifestyle changes) in risk of progression from impaired glucose tolerance to type 2 diabetes (versus 31% for metformin).

Change in lifestyle is the cornerstone of prevention:

Metabolic syndrome

There are multiple definitions of the metabolic syndrome. It consists of a clustering of cardiovascular risk factors that include central obesity, hypertension and dyslipidaemia, which are all associated with insulin resistance. The presence of the metabolic syndrome is considered an important risk factor for cardiovascular disease and mortality in non-diabetic subjects and patients with type 2 diabetes. The most recent definition of the metabolic syndrome is the consensus document from the International Diabetes Federation (IDF) (Table 1.10). The IDF metabolic syndrome criteria take into account ethnic differences in body fat distribution. The WHO, National Cholesterol Education Program (NCEP) and the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel (ATP) III) have each proposed different criteria for the diagnosis.

Table 1.10 Metabolic syndrome

Metabolic syndrome is indicated where central obesity is accompanied by any two of the following four factors:

BP, blood pressure; FPG, fasting plasma glucose; HDL, high-density lipoprotein; TG, triglycerides; OGTT, oral glucose tolerance test.

Source: International Diabetes Federation (2006). Reproduced with permission.

The international diabetes federation (IDF) definition

For a person to be defined as having the metabolic syndrome they must meet the criteria defined in Table 1.10.

Central obesity is most easily measured by waist circumference using the guidelines in Table 1.11, which are sex and ethnic group (not country of residence) specific.

Table 1.11 Ethnic specific values for waist circumference

Country/ethnic group Waist circumference (cm)
Male Female
Europids > 94 > 80
In the USA, the ATP III values (102 cm male; 88 cm female) are likely to continue to be used for clinical purposes
South Asians > 90 > 80
Based on a Chinese, Malay and Asian–Indian population
Chinese > 90 > 80
Japanese > 90 > 80
Ethnic South and Central Americans Use South Asian recommendations until more specific data are available
Sub-Saharan Africans Use European data until more specific data are available
Eastern Mediterranean and Middle East (Arab) populations Use European data until more specific data are available

ATP, Adult Treatment Panel.

Source: International Diabetes Federation (2006). Reproduced with permission.

The clinical value of using ’metabolic syndrome’ as a diagnosis is contentious. There are different sets of conflicting criteria in existence. Recently published studies have used different criteria and followed subjects for varied lengths of time. Thus the magnitude of risk associated with the metabolic syndrome varies across studies. Generally, the development of CVD correlates with the number of features of the metabolic syndrome at baseline. Men with three or more features at baseline are at greater risk of developing CVD than those with none. However, when confounding factors such as obesity are accounted for, diagnosis of the metabolic syndrome per se has a negligible increased association with the risk of heart disease. The metabolic syndrome probably should not be regarded as a clinical entity, but as a clustering of cardiovascular risk factors, each of which requires treatment.

The metabolic syndrome is associated with increased risk of a variety of disease outcomes including diabetes, CVD, fatty liver and non-alcoholic steatohepatosis, polycystic ovary syndrome, gallstones, asthma, sleep apnoea and some malignant diseases. The biggest impact that metabolic syndrome has on health is the increased incidence of atheromatous vascular disease. The individual components of the metabolic syndrome – hypertension, dyslipidaemia and glucose intolerance – were all known individually to be associated with increased atheromatous vascular disease.

Central to the concept of metabolic syndrome is insulin resistance, which is strongly associated with non-diabetic hyperglycaemia and type 2 diabetes. It is uncertain whether insulin resistance is the fundamental metabolic defect that links these abnormalities together. However, there is considerable epidemiological and experimental evidence that insulin resistance syndrome confers an increased risk of cardiovascular disease. Importantly, the magnitude of the risk associated with a combination of factors is greater than would be expected by simple addition (i.e. the effects are synergistic). Finally, there is evidence from longitudinal studies that these metabolic risk factors:

Again, depending on the study, the all-cause mortality rate is increased by 20–80% in individuals with the metabolic syndrome, with mortality from CVD increased by 60–280% and death from coronary heart disease increased by 70–330%. Presence of the metabolic syndrome confers an increased risk of death from coronary heart disease in women compared with that in men. Other studies have shown a relative risk of developing CVD for those with three or more features compared with that in those with two or fewer features of 1.3–1.7. For individuals with diabetes the relative risk is higher, with a 5-fold increased risk of CVD in those with the metabolic syndrome and diabetes versus those with diabetes without the metabolic syndrome.

Metabolic syndrome is classically associated with type 2 diabetes. However, obese patients with type 1 diabetes are also at risk of developing the metabolic syndrome. This combination is probably present in more than 30% of type 1 patients (depending on the background prevalence of metabolic syndrome). These patients:

Fatty liver disease

Fatty liver disease (FLD) is considered to be part of the metabolic syndrome and is due to defects in fat metabolism. Imbalance in energy consumption and its metabolism results in increased lipid storage. Lipid storage may also be a consequence of peripheral resistance to insulin, whereby the transport of fatty acids from adipose tissue to the liver is increased. Impairment or inhibition of the receptor molecules, peroxisome proliferator-activated receptor (PPAR)-α, PPAR-γ and sterol regulatory element-binding protein (SREBP)-1, that control the enzymes responsible for the oxidation and synthesis of fatty acids also appears to contribute to the accumulation of fat. Alcohol excess is known to damage mitochondria and other cellular structures, further impairing cellular energy mechanism. Non-alcoholic FLD may begin as an excess of unmetabolized energy in liver cells. Hepatic steatosis (retention of lipid) is considered to be reversible and to some extent non-progressive if there is cessation or removal of the underlying cause.

Severe fatty liver is often accompanied by inflammation, a situation that is referred to as steatohepatitis. Progression to alcoholic steatohepatitis (ASH) or non-alcoholic steatohepatitis (NASH) depends on the persistence or severity of the inciting cause. Pathological lesions in both conditions are similar. However, the extent of inflammatory response varies widely and does not always correlate with degree of fat accumulation.

Liver with extensive inflammation and high degree of steatosis often progresses to more severe forms of the disease. Hepatocyte ballooning and hepatocyte necrosis of varying degree are often present at this stage. Liver cell death and inflammatory responses lead to the activation of stellate cells, which play a pivotal role in hepatic fibrosis. The extent of fibrosis varies widely. Perisinusoidal fibrosis is most common, especially in adults, and predominates in and around the terminal hepatic veins. The progression to cirrhosis may be influenced by the amount of lipid accumulated, the degree of steatohepatitis, and a variety of other sensitizing factors. In alcoholic FLD the transition to cirrhosis related to continued alcohol consumption is well documented, but the process involved in non-alcoholic FLD is less clear.

Cirrhosis, secondary to FLD, is now very common, and as obesity/insulin resistance becomes more common cirrhosis will become an even bigger clinical issue.

Haemochromatosis (’bronze diabetes’)

Haemochromatosis is usually defined as iron overload with a hereditary/primary cause, or originating from a metabolic disorder. However, the term has often also been used more broadly to refer to any form of iron overload. The term haemosiderosis is generally used to indicate the pathological effect of iron accumulation in any given organ, which occurs mainly in the form of haemosiderin.

Hereditary haemochromatosis is the most common of several ’iron overload’ diseases. It is the most common single-gene inherited disorder in Caucasians, with 1 in 10 persons carrying an abnormal gene. Haemochromatosis is caused by mutations in the HFE gene, inherited in an autosomal recessive manner. The two mutations identified in the HFE gene are C282Y and H63D.

As many as 1 in 200 Americans are believed to carry both markers of the gene for haemochromatosis, and it is estimated that about half will eventually develop complications. This will give a prevalence similar to that of type 1 diabetes but, as in type 2 diabetes, the condition appears to be relatively underdiagnosed.

Haemochromatosis causes the body to absorb excessive amounts of iron from the diet. The body lacks an efficient means of excreting this excess iron, and as a result excess iron is deposited in organs, mainly the liver, but also the pancreas, heart, endocrine glands and joints.

Haemochromatosis is characterized by the four main features:

Investigations

Measurement of serum iron levels has no value in making the diagnosis.

Transferrin saturation corresponds to the ratio of serum iron and total iron-binding capacity. Similar to iron, it is influenced by liver disease (other than haemochromatosis) and inflammation; therefore, it has limitations in the diagnostic workup.

Serum ferritin levels raised above 200 μg/L in premenopausal women and 300 μg/L in men and postmenopausal women indicate primary iron overload due to haemochromatosis, especially when associated with high transferrin saturation and evidence of liver disease.

Genetic testing for the HFE mutation is indicated in patients with evidence of iron overload (e.g. raised transferrin saturation, high serum ferritin levels, excess iron staining or iron concentration on liver biopsy samples) and also in all first-degree relatives of patients with haemochromatosis. This is indicated particularly in patients with known liver disease and evidence of iron overload, even if other causes of liver disease are present.

Liver biopsy:

Management

It is important to detect haemochromatosis as early as possible so that venesection can be instituted to prevent the build-up of iron and potential complications. Tiredness and abdominal pain should diminish, and increased pigmentation of the skin should fade. Once complications such as diabetes and cirrhosis have developed, they cannot be reversed. In addition, arthritis may fail to improve with venesection.

Haemochromatosis cannot be treated with a low iron diet alone. However, some foods affect the way the body absorbs iron. The following dietary tips may play a small part in reducing the symptoms of the disease:

Treatment of haemochromatosis consists of regular venesection. Depending on the degree of iron overload, the procedure may initially be performed once weekly or once monthly. This regularity of treatment continues until serum ferritin levels return to normal; this may take up to 2 years. After this, lifelong maintenance therapy needs to be set in place as excess iron continues to be absorbed. On average, venesection is required every 3–4 months to prevent build-up and maintain normal levels. Regular monitoring of serum ferritin, transferrin saturation, haematocrit and haemoglobin is necessary throughout the treatment process.

Acquired haemochromatosis may be the result of blood transfusions, excessive dietary iron, or secondary to other disease.

Polycystic ovary syndrome (PCOS)

PCOS is one of the most common female endocrine disorders, affecting approximately 5–10% of females of reproductive age (12–45 years). A majority of patients with PCOS have insulin resistance and/or are obese. Their raised insulin levels contribute to or cause the abnormalities seen in the hypothalamic–pituitary–ovarian axis that lead to PCOS.

Hyperinsulinaemia increases the gonadotropin-releasing hormone (GnRH) pulse frequency, luteinizing hormone (LH) over follicle-stimulating hormone (FSH) dominance, which increases ovarian androgen production, decreases follicular maturation, and decreases sex hormone-binding globulin (SHBG) binding; all of these steps lead to the development of PCOS. Insulin resistance is a common finding among patients of normal weight as well as overweight patients.

Hyperinsulinaemia in patients with PCOS has been found to be associated with an increased 17,20-lyase activity, leading to excess androgen production.

Adipose tissue possesses aromatase, an enzyme that converts androstenedione to oestrone, and testosterone to oestradiol. The excess adipose tissue in obese patients creates the paradox of having both excess androgens (which are responsible for hirsutism and virilization) and oestrogens (which inhibits FSH via negative feedback).

The principal features are:

The diagnosis is straightforward using the Rotterdam criteria (Table 1.12), even when the syndrome is associated with a wide range of symptoms.

Table 1.12 Diagnosis of polycystic ovary syndrome

In 2003 a consensus workshop sponsored by ESHRE and ASRM in Rotterdam indicated PCOS to be present when 2 of the following 3 criteria are met:

ESHRE, European Society of Human Reproduction and Embryology; ASRM, American Society for Reproductive Medicine.

History-taking should enquire specifically about:

These four questions can diagnose PCOS with a sensitivity of approximately 80% and a specificity of about 90%.

Investigations should include:

Common assessments for associated conditions or risks include:

For exclusion of other disorders that may cause similar symptoms:

Women with PCOS are at risk of the following:

Medical treatment of pcos is tailored to the patient’s goals

In each of these areas, there is considerable debate as to the optimal treatment. One of the major reasons for this is the lack of large-scale clinical trials comparing different treatments. Broadly, these may be considered under four categories:

Biochemistry of diabetes

Insulin

The hormone insulin is a primary regulatory signal in animals, suggesting that the basic mechanism is old and central to animal life (Figs 1.1 & 1.2). β-cells in the islets of Langerhans release insulin in two phases. In the first phase insulin release is triggered rapidly in response to increased blood glucose levels. The second phase is a sustained, slow release of newly formed vesicles that are triggered independently of glucose.

During the first phase of insulin release, glucose enters the β-cells through the glucose transporter (GLUT-2), and through glycolysis and the respiratory cycle multiple high-energy adenosine triphosphate (ATP) molecules are produced, leading to the ATP-controlled potassium channels (K+) closing and the cell membrane depolarizing. On depolarization, voltage-controlled calcium channels (Ca2 +) open. An increased calcium level causes activation of phospholipase C, which cleaves the membrane phospholipid, phosphatidylinositol 4,5-bisphosphate, into inositol 1,4,5-triphosphate and diacylglycerol. Inositol 1,4,5-triphosphate (IP3) binds to receptor proteins in the membrane of endoplasmic reticulum (ER), which allows the release of Ca2 + from the ER via IP3 gated channels, and further raises the cell concentration of calcium. The increased amount of calcium in the cells causes release of previously synthesized insulin, which has been stored in secretory vesicles.

Evidence of early impaired first-phase insulin release can be seen in the oral glucose tolerance test, demonstrated by a substantially raised blood glucose level at 30 min, a marked drop by 60 min, and a steady climb back to baseline levels over the following hourly time points.

Insulin secretion from the pancreas is not continuous, but oscillates within a period of 3–6 min, changing from generating a blood insulin concentration of more than about 800 pmol/L to less than 100 pmol/L. This is thought to avoid downregulation of insulin receptors in target cells and to assist the liver in extracting insulin from the blood.

Other substances known to stimulate insulin release include amino acids from ingested proteins and acetylcholine, released from vagus nerve endings (parasympathetic nervous system). Glucagon-like peptide (GLP) and glucose-dependent insulinotropic peptide (GIP), released by enteroendocrine cells of intestinal mucosa, also stimulate insulin release. Acetylcholine triggers insulin release through phospholipase C, whereas GLP and GIP act through adenylate cyclase. The three amino acids, alanine, glycine and arginine, which stimulate insulin secretion, act similarly to glucose by altering the membrane potential of β-cells.

The sympathetic nervous system (via α2-adrenergic stimulation as demonstrated by the agonists clonidine or methyldopa) inhibits the release of insulin. However, circulating adrenaline (epinephrine) will activate β2-receptors on the β-cells in the pancreatic islets to promote insulin release. This is important, as muscle cannot benefit from the raised blood sugar resulting from adrenergic stimulation (increased gluconeogenesis and glycogenolysis from the low blood insulin : glucagon state) unless insulin is present to allow for GLUT-4 translocation into the tissue.

When the glucose level comes down to the usual physiological value, insulin release from the β-cells slows or stops. If blood glucose levels drop lower, release of hyperglycaemic hormones (most prominently glucagon from islet of Langerhans’ α-cells) forces release of glucose into the blood from cellular stores, primarily liver cell stores of glycogen. By increasing blood glucose levels, the hyperglycaemic hormones prevent or correct life-threatening hypoglycaemia. Release of insulin is strongly inhibited by the stress hormone noradrenaline (norepinephrine), leading to increased blood glucose levels during stress. The many roles of insulin are summarized in Table 1.13.

Table 1.13 Main physiological actions of insulin

Glucagon

Glucagon is an important hormone involved in carbohydrate metabolism. Glucagon is synthesized and secreted from the α-cells of the islets of Langerhans. It is released when blood glucose levels start to fall too low, causing the liver to convert stored glycogen into glucose and release it into the bloodstream, raising blood glucose levels and ultimately preventing the development of hypoglycaemia. The action of glucagon is thus opposite to that of insulin. However, glucagon also stimulates the release of insulin, so that newly available glucose in the bloodstream can be taken up and used by insulin-dependent tissues (Tables 1.14 & 1.15).

Table 1.14 Causes of increased and decreased secretion/inhibition of glucagon

Increased secretion of glucagon is caused by: Decreased secretion/inhibition of glucagon is caused by:

   

Table 1.15 Metabolic actions of insulin and glucagon

  Insulin Glucagon
Fatty acid uptake and release in fat Stimulates synthesis TG from FFA; inhibits release of FFA from TG Stimulates release of FFA from TG
Liver glycogen Increases synthesis and thereby glucose uptake and storage Stimulates glycogenolysis and glucose release
Liver gluconeogenesis Inhibits; saves amino acids Stimulates; glucose synthesized and released
Glucose uptake, skeletal muscle Stimulates uptake, storage as glycogen and use in energy metabolism No receptors, no effect
Glycogen, skeletal muscle Stimulates synthesis No receptors, no effect
Amino acid uptake Stimulates and is necessary for protein synthesis No receptors, no effect
Brain (hypothalamus) Reduces hunger through hypothalamic regulation No effect

FFA, free fatty acids; TG, triglycerides.

The insulin receptor

The insulin receptor is a transmembrane receptor belonging to the large class of tyrosine kinase receptors (Fig. 1.3). Two α-subunits and two β-subunits make up the receptor. The β-subunits pass through the cellular membrane and are linked by disulphide bonds. Receptor activity is mediated by tyrosines phosphorylation within the cell. The ‘substrate’ protein for insulin receptor substrate (IRS)-1 is phosphorylated, leading to an increase in the high-affinity glucose transporter (GLUT-4) molecules on the outer membrane of insulin-responsive tissues. These tissues include muscle cells, adipose tissue and hepatocytes. This process leads to an increase in the uptake of glucose from blood into these tissues and a cascade of post-receptor signalling events still not fully elucidated. GLUT-4 is transported from cellular vesicles to the cell surface, where it mediates the transport of glucose into the cell. Other isoforms of glucose transporters (e.g. GLUT-1 at the blood–brain and blood–retinal barriers, GLUT-2 in islet β-cells) do not require insulin to transfer glucose into cells.

Lipolysis

Lipolysis is the hydrolysis of lipids (Fig. 1.4). Metabolically it is the breakdown of triglycerides into free fatty acids within cells. When fats are broken down for energy, the process is known asβ-oxidation: ketones are produced and are found in large quantities in ketosis (a state in metabolism occurring when the liver converts fat into fatty acids and ketone bodies, which can be used by the body for energy). Lipolysis testing strips such as Ketostix are used to recognize urinary ketones.

The following hormones induce lipolysis: noradrenaline (epinephrine), noradrenaline (norepinephrine), glucagon, growth hormone and cortisol (although cortisol’s actions are still unclear). These trigger G-protein-coupled receptors, which activate adenylate cyclase. This results in increased production of cAMP, which activates protein kinase A, which subsequently activate lipases found in adipose tissue.

Triglycerides are transported through the blood to appropriate tissues (adipose, muscle, etc.) by lipoproteins such as chylomicrons. Triglycerides present on the chylomicrons undergo lipolysis by the cellular lipases of target tissues, which yield glycerol and free fatty acids. Free fatty acids released into the blood are then available for cellular uptake. Free fatty acids not immediately taken up by cells may bind to albumin for transport to surrounding tissues that require energy. Serum albumin is the major carrier of free fatty acids in the blood. The glycerol also enters the bloodstream and is absorbed by the liver or kidney where it is converted to glycerol 3-phosphate by the enzyme glycerol kinase. Hepatic glycerol 3-phosphate is converted mostly to dihydroxyacetone phosphate (DHAP) and then glyceraldehyde 3-phosphate (GA3P), to rejoin the glycolysis and gluconeogenesis pathway.

While lipolysis is triglyceride hydrolysis, the process by which triglycerides are broken down, esterification is the process by which triglycerides are formed. Esterification and lipolysis are essentially reversals of one another.

Appendix 1.1: Prevalence estimates of diabetes, 2011–2030

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Figure 1.5 Prevalence (%) estimates of diabetes (20–79 years), 2010.

(Source: International Diabetes Federation/IDF Diabetes Atlas, 5th edn. IDF, Brussels. © International Diabetes Federation 2011. Reproduced with permission.)

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Figure 1.6 Prevalence (%) estimates of diabetes (20–79 years), 2030.

(Source: International Diabetes Federation/IDF Diabetes Atlas, 5th edn. IDF, Brussels. © International Diabetes Federation 2011. Reproduced with permission.)

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Figure 1.7 International Diabetes Federation regions and global projections for the number of people with diabetes (20–79 years), 2010–2030.

(Source: International Diabetes Federation/ IDF Diabetes Atlas, 5th edn. IDF, Brussels. © International Diabetes Federation 2011. Reproduced with permission.)