This site is intended for healthcare professionals only

Unit 1 – Core aspects of care: Clinical presentations and diagnosis of diabetes

Kate Sidaway-Lee, Philip H Evans
,

Researchers, public health physicians and front-line clinicians, including GPs, are increasingly convinced that we are now in the midst of an epidemic (if not a pandemic) of diabetes mellitus. Diabetes prevalence rates are increasing across the world, particularly in developing countries, and an increasing number of people are being diagnosed in primary care. This article explores the clinical presentations and diagnosis of diabetes mellitus, focusing on type 2 diabetes. Approaches to preventing or delaying the onset of the condition in people with so-called “pre-diabetes” will be considered in a later module in this series.

Click here to access the CPD module.

The number of people with diabetes mellitus continues to escalate and rates of diabetes are increasing across the world. In 2007 it was estimated that 2.45 million people in the UK population had diabetes (Yorkshire and Humber Public Health Observatory, 2007). In 2013 this had risen to 3.2 million adults (Diabetes UK, 2014), 6% of the UK population, and it is predicted that by 2025 there will be 5 million people in the UK with diabetes (Diabetes UK, 2012).

Worldwide there were thought to be 387 million people with diabetes in 2014 (IDF, 2014) and 90% of people with diabetes have type 2 diabetes (Whiting et al, 2011). Having diabetes means that an individual is more at risk of other disorders including cancer (Tsilidis et al, 2015). Moreover, the commonest cause of death in diabetes remains cardiovascular disease, and it accounts for 44% of all deaths in people with type 1 diabetes and 52% of deaths in people with type 2 diabetes (Morrish et al, 2001). Life expectancy is shortened considerably by both types of diabetes; for example, at age 55 the average male life expectancy is reduced by 3.6–11.5 years in people with type 2 diabetes, depending on risk factor status (Leal et al, 2009).

Allied to this increase in the prevalence of type 2 diabetes is the growing number of people with intermediate or borderline hyperglycaemia (often known as “pre-diabetes”). This condition carries a raised cardiovascular risk (Tabák et al, 2012), and the challenge to primary care still remains that of early diagnosis, effective intervention and, if possible, prevention of diabetes.

What is diabetes?
It is recognised that chronically raised blood glucose (hyperglycaemia) has numerous implications for the health of the individual. Diabetes mellitus is “a group of metabolic diseases characterised by hyperglycaemia resulting from defects in insulin secretion, action or both.” This definition by the American Diabetes Association (ADA; 2009) illustrates the fact that diabetes is a syndrome with multiple causes. Apart from mothers who develop gestational diabetes when pregnant, the vast majority of non-pregnant people with diabetes fall into two main groups: type 1 and type 2 (ADA, 2015).

Type 1 diabetes is caused by an absolute deficiency of insulin, which is thought to be due to auto-immune destruction of pancreatic islet cells. Type 1 diabetes accounts for between 5% and 10% of all cases, and it is often diagnosed in younger people. Type 2 diabetes, however, is far more common (approximately 90% of all cases) and is usually diagnosed in people over 45 years of age, who are often obese or physically inactive. It is rapidly increasing in prevalence and is the driver for the current diabetes epidemic.

Unlike type 1 diabetes, type 2 diabetes is characterised by a relative insulin deficiency and is often associated with insulin resistance and features of the so-called “metabolic syndrome” (an increase in waist circumference and raised blood pressure, low HDL-cholesterol, raised plasma triglycerides or a raised blood glucose; Alberti et al, 2005).

Having previously been unknown in adolescents, type 2 diabetes is now being increasingly diagnosed in younger teenagers and young adults (Wilmot et al, 2010), and hence the likelihood of type 2 diabetes being confused with type 1 diabetes is increasing, as overlap in younger people is more common. Type 2 diabetes, however, still remains a disorder of later age and the largest increase in prevalence is in the over-65 age group, as the population as a whole ages (Wild et al, 2004). With diabetes in this particular age group comes increasing comorbidity and disability as well as the complexities of managing people with multiple conditions and multiple medications. Type 2 diabetes is strongly dependent on ethnicity and is more common in South Asian or Afro-Caribbean populations. In these populations in the UK, people may develop type 2 diabetes at an earlier age and at a lower BMI (NICE, 2012).

Type 2 diabetes usually develops after a prodromal period of several years of gradually increasing glucose levels (Harris et al, 1992) and most people pass through a period of pre-diabetes before their hyperglycaemia reaches the diabetes threshold. Research published from the Whitehall II prospective study shows that people diagnosed with type 2 diabetes had a slow increase in their blood glucose levels over the 13 years of the study but that their blood glucose levels then rose rapidly in the 2 or 3 years preceding the diagnosis (Tabák et al, 2009). A recent study by the Cambridge team, following up their Ely study, suggested that this lead time for diagnosing diabetes has shortened from the 9–12 years suggested in the original US study in 1992 (Harris et al, 1992) to 3.3 years in 2012 (Rahman et al, 2012). This may of course be due to greater screening and awareness of diabetes on the part of primary care teams.

Diabetes is often asymptomatic until glucose levels rise, especially in older people (Abdelhafiz and Sinclair, 2013). Whatever the cause of the hyperglycaemia, however, the symptoms of diabetes usually include polyuria, urinary frequency and polydipsia (often waking up needing a drink in the middle of the night), all caused by an osmotic diuresis due to glycosuria. Other symptoms are weight loss (more often seen in type 1), tiredness, blurred vision and susceptibility to infections such as vaginal or penile candidiasis. Other individuals present with complications of diabetes such as gangrene or acute coronary syndrome. These complications can be disabling, even fatal, and include neuropathy, retinopathy, cardiovascular disease, sexual dysfunction and a significant impact on the individual’s quality of life and social functioning. Even at diagnosis, around 25% of people with type 2 diabetes may already have complications (UK Prospective Diabetes Study [UKPDS] Group, 1998). It has also been noted at diagnosis that nearly half of the individual’s insulin secretion has already typically been lost (UKPDS Group, 1995), indicating that the progressive loss of insulin secretory reserve underpins the progression of diabetes with time, and hence the onset of symptoms.

Rarer causes of diabetes
Type 2 diabetes is generally considered to be a polygenic disorder. Diabetes with a monogenic, as opposed to polygenic, cause is seen much less frequently but nevertheless can present to GPs. For example, it is reasonable to assume that each GP will have at least one registered patient whose diabetes is due to maturity-onset diabetes of the young (MODY), although this is unlikely to have been recognised. MODY is a monogenic autosomal dominant condition often causing hyperglycaemia in younger people and hence is likely to be diagnosed as either type 1 or early type 2. The chromosomal defects and functional deficiencies have now been determined. The commonest form involves a mutation in one of the liver transcription factors known as hepatocyte nuclear factor (HNF)-1 alpha. Treatment options in these individuals are often dependent on the person’s genetic sub-type (e.g. the effective use of low-dose sulphonylureas in people with HNF-1 alpha mutations [Murphy et al, 2008]).

Latent autoimmune diabetes of adulthood (LADA) is a variant of diabetes which, like MODY, is receiving more attention of late. It is relatively common and has been estimated to constitute up to 12% of people initially diagnosed with type 2 diabetes (Naik et al, 2009). It is frequently misdiagnosed and should be considered in younger people who do not fit the typical picture of type 2 diabetes (Appel et al, 2009).

One simple but potentially useful test in distinguishing the different types of diabetes has been developed by our colleagues here in Exeter. This is the urinary C-peptide creatinine ratio (UCPCR; Besser et al, 2011). C-peptide is a breakdown product of endogenous, but not exogenous, insulin and hence UCPCR is used in people taking insulin to assess endogenous insulin secretion. The test itself is a simple urine sample collected 2 hours after a meal, which is placed in an ordinary boric acid container and is stable for 3 days in the post. As an illustration, in a young person who has been diagnosed with type 1 diabetes for 5 years, a relatively high UCPCR level would indicate the possibility of MODY rather than type 1 diabetes as endogenous insulin production has been maintained. In contrast to the expensive nature of genetic tests, this simple approach costs around £10 (for more details, please see: http://www.diabetesgenes.org/content/urine-c-peptide-creatinine-ratio [accessed 22.01.15]).

Coding of diabetes
With the introduction and evolution of the Quality and Outcomes Framework has come an increasing need for effective and accurate coding of type 1 and type 2 diabetes in general practices. In light of the diagnostic issues described above, GPs need to be clear on the type of diabetes that an individual has, in order to optimise treatment and reduce the risk complications.

In 2011 a Working Group commissioned by NHS Diabetes and the Royal College of General Practitioners (RCGP) produced an excellent report titled Coding Classification and Diagnosis of Diabetes (NHS Diabetes and RCGP, 2011). This followed on from a systematic review which investigated incorrect coding and classification of diabetes (Stone et al, 2010). The Working Group identified three common failings: misdiagnosis (the person does not actually have diabetes); misclassification (the person is coded as having the wrong type of diabetes); and miscoding (when the wrong computer code is used). The Group agreed that accurate coding was a complex and exacting task and offered a simple algorithm to support classification.

Diagnosing diabetes
Diabetes can be diagnosed in primary care without specialist referral unless the person’s condition is potentially life-threatening and admission is necessary. Until recently, the diagnosis of diabetes and pre-diabetes was based upon blood glucose estimations, which could be random, fasting or after a glucose load (oral glucose tolerance test [OGTT]). Traditionally the OGTT was promoted as the gold standard for the diagnosis of diabetes and has been used extensively in epidemiological studies.

However, in 2011 the World Health Organization (WHO) proposed the use of HbA1c as a diagnostic test for diabetes (WHO, 2011). The body recommended that a level of ≥48 mmol/mol (6.5%) was the cut-off for diagnosing diabetes and this advice was reiterated in UK-wide guidance via a consensus statement (John et al, 2012). HbA1c is known to reflect elevated levels of blood glucose over the preceding 2–3 months, and an analysis of a venous blood sample in an accredited laboratory using quality assurance tests is recommended by John et al (2012). Point-of-care HbA1c tests are not recommended for diagnosis unless their performance can match that of other laboratory methods.

HbA1c, which does not need a fasting test, is far more practical than either fasting glucose tests or an OGTT and may well promote more widespread screening for diabetes. The NHS Health Check Programme in the UK advocates the same use of HbA1c with a cut-off of ≥48 mmol/mol (6.5%) as diagnostic of diabetes (NHS Health Check Programme, 2009), as does NICE guidance (NICE, 2012).

Looking in more detail at the guidance of John et al (2012), based on the HbA1c cut-off of ≥48 mmol/mol (6.5%), it is recommended that in people without diabetes symptoms, a repeat HbA1c be conducted in the same laboratory within 2 weeks, but that in people who are symptomatic of hyperglycaemia with a relatively slow onset of symptoms, a single result is sufficient. Recently, however, an analysis by McDonald and Warren (2014) showed that in 63% of 188 people having a repeat HbA1c within 14 days of being diagnosed, the second result was lower than the first, and in 40% of cases this follow-up test was below the diagnostic threshold. This would appear to justify a broader policy of repeating HbA1c testing to help ensure that the diagnosis is correct. The implications of receiving a diagnosis of diabetes cannot be under-estimated.

In addition, it is imperative to note that there are some clinical situations when HbA1c should not be used for diagnosis (see Box 1). Perhaps the most important situation of all is when considering a diagnosis of type 1 diabetes. There are also difficulties in using HbA1c in people with haemoglobinopathies, anaemia or disorders causing an altered red cell lifespan, and there are ethnic differences as well (Venkataraman et al, 2012). The consensus report (John et al, 2012) concluded that a value less than 48 mmol/mol does not exclude diabetes diagnosed on glucose tests.

The introduction of diagnosis based on HbA1c means that diabetes can now be diagnosed in four ways (see Table 1). There has been considerable discussion in the international diabetes community about this change (Bonora and Tuomilehto, 2011). Although potentially confusing for those of us working in primary care, the move to a single diagnostic and monitoring test in the form of HbA1c may in the long run simplify issues of diagnosis and aid screening. Our recent work in the practice showed an almost three-fold increase in the number of patients diagnosed with type 2 diabetes in the 9 months after we introduced the new HbA1c diagnostic criterion. These individuals were significantly older, by just over 8 years on average, but had a comparable BMI (Evans et al, 2013). Larger studies are needed in UK general practice to determine in more detail the effect of this diagnostic change on clinical practice and in-practice prevalence rates.

Defining pre-diabetes
The consensus report (John et al, 2012) also recommended that those people with an HbA1c of 42–47 mmol/mol (6.0–6.4%) should be considered to be at high risk and to have the equivalent of impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) – in other words, pre-diabetes. A value under 42 mmol/mol (6.0%) was considered to be “normal”. However, in contrast with the situation in the UK, the ADA has suggested in the US that pre-diabetes should include people with an HbA1c of 37–47 mmol/mol (5.7–6.4%). This group has been termed “increased glycated haemoglobin” (IGH). This trans-Atlantic difference still persists today (ADA, 2015). It should also be observed that any of these glucose or HbA1c cut-offs for the development of diabetes are in effect arbitrary thresholds along the continuum of hyperglycaemia as they are considered to be the level above which diabetic retinopathy (a specific diabetes-related microvascular complication) is more prevalent.

In general, the diagnosis of the intermediate hyperglycaemic states collectively known as pre-diabetes remains an area that is much debated. All these conditions have in common the fact that glucose and HbA1c levels are raised, yet are not above the threshold diagnostic of type 2 diabetes. The two most important features of pre-diabetes in primary care are the increased risk of cardiovascular disease (CVD), which is two to three times that of normoglycaemic individuals (Coutinho et al, 1999), and the increased risk of progression to type 2 diabetes. Hence, there is the potential for prevention of both diabetes and CVD in this high-risk group.

The term pre-diabetes has been considered by some as being potentially misleading, as a large proportion of people with pre-diabetes do not progress to diabetes. Other terms such as non-diabetic hyperglycaemia (NDH), intermediate hyperglycaemia (IH) and impaired glucose regulation (IGR) are therefore gaining in popularity. The RCGP guidelines suggested the term NDH as its preferred term and included IGT, IFG and gestational diabetes in this group (NHS Diabetes and RCGP, 2011).

Recently it was estimated that, according to the ADA criteria, 35.3% of the population of England has pre-diabetes (Mainous et al, 2014) – a staggering  increase from 11.6% in 2003. Pre-diabetes carries an increased risk of progression to type 2 diabetes, although this can vary with ethnicity and other factors (Unwin et al, 2002). It is widely accepted that people with these conditions are at greater risk of both type 2 diabetes and cardiovascular disease (Coutinho et al, 1999) and interventions designed to prevent diabetes have in the main been targeted at this group. The ADA recently concluded that at least 70% of people with pre-diabetes will eventually progress to frank diabetes and it is estimated that by the year 2030, 470 million people globally will have pre-diabetes (Tabák et al, 2012).

However, a provocative recent article in the British Medical Journal (Yudkin and Montori, 2014) essentially questioned the whole premise of the diagnosis of pre-diabetes, suggesting that it is an example of over-diagnosis and is only “a risk factor for developing a risk factor”  (type 2 diabetes).

Case examples
Two case examples relating to diagnosis are presented in Box 2.

Conclusion
This module has reviewed the current state of play regarding diagnosis and clinical presentation of people with diabetes, focusing on those with type 2 diabetes, as this is the most prevalent type seen in primary care. The more unusual types of diabetes such as MODY and LADA should not be forgotten and can be diagnosed in primary care with specialist help if needed. The implications of using HbA1c as the single diagnostic and management test for diabetes have been explored. However, the precise impact of these changes on the number of people with a diagnosis of diabetes, and hence workload at a practice level, may vary.

Click here to access the CPD module.

REFERENCES:

Abdelhafiz AH, Sinclair AJ (2013) Management of type 2 diabetes in older people. Diabetes Ther 4: 13–26
Alberti KG, Zimmet P, Shaw J (2005) IDF Epidemiology Task Force Consensus Group. The metabolic syndrome – a new worldwide definition. Lancet 366: 1059–62
American Diabetes Association (2009) Diagnosis and classification of diabetes mellitus. Diabetes Care 32: S62–7
American Diabetes Association (2015) 2. Classification and Diagnosis of Diabetes. Diabetes Care 38: S8–S16
Appel SJ, Wadas TM, Rosenthal RS et al (2009) Latent autoimmune diabetes of adulthood (LADA): an often misdiagnosed type of diabetes mellitus. J Am Acad Nurse Pract 21: 156–9
Besser RE, Shepherd MJ, McDonald TJ et al (2011) Urinary C-peptide creatinine ratio is a practical outpatient tool for identifying hepatocyte nuclear factor 1-alpha/hepatocyte nuclear factor 4-alpha maturity-onset diabetes of the young from long-duration type 1 diabetes. Diabetes Care 34: 286–91
Bonora E, Tuomilehto J (2011) The pros and cons of diagnosing diabetes with A1c. Diabetes Care 34: s184–s216
Coutinho M, Gerstein HC, Wang Y, Yusuf S (1999) The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. Diabetes Care 22: 233–40
Diabetes UK (2012) Diabetes in the UK 2012. Diabetes UK, London. Available at: http://bit.ly/1CEO4VS (accessed 22.01.15)
Diabetes UK (2014) Diabetes prevalence 2013. Diabetes UK, London. Available at: http://bit.ly/1dR5kdG (accessed 22.01.15)
Evans PH, Pereira Gray DJ, Wright C, Langley P (2013) Diagnosing type 2 diabetes and identifying high-risk individuals using the new glycated haemoglobin (HbA1c) criteria. Br J Gen Pract 63: 235
Harris MI, Klein R, Wellborn TA, Knuiman MW (1992) Onset of NIDDM occurs at least 4–7 years before clinical diagnosis. Diabetes Care 15: 815–19
International Diabetes Federation (2014) IDF Diabetes Atlas (6th edition). IDF, Brussels, Belgium
John WG, Hillson R, Alberti SG (2012) Use of haemoglobin A1c (HbA1c) in the diagnosis of diabetes mellitus. The implementation of World Health Organisation (WHO) guidance 2011. Practical Diabetes 29: 12–12a
Leal J, Gray AM, Clarke PM (2009) Development of life-expectancy tables for people with type 2 diabetes. Eur Heart J 30: 834–9
Mainous AG III, Tanner RJ, Baker R et al (2014) Prevalence of prediabetes in England from 2003 to 2011: population-based, cross-sectional study. BMJ Open 4: e005002
McDonald TJ, Warren R (2014) Diagnostic confusion? Repeat HbA1c for the diagnosis of diabetes. Diabetes Care 37: e135–6
Morrish NJ, Wang SL, Stevens LK et al (2001) Mortality and causes of death in the WHO multinational study of vascular disease in diabetes. Diabetologia 44: s14–s21
Murphy R, Ellard S, Hattersley AT (2008) Clinical implications of a molecular genetic classification of monogenic beta-cell diabetes. Nat Clin Pract Endocrinol Metab 4: 200–13
Naik RG, Brooks-Worrell BM, Palmer JP (2009) Latent autoimmune diabetes in adults. J Clin Endocrinol Metab 94: 4635–44
NHS Diabetes, Royal College of General Practitioners (2011) Coding Classification and Diagnosis of Diabetes. NHS Diabetes, Leicester. Available at: http://bit.ly/1CifpQ5 (accessed 26.11.12)
NHS Health Check Programme (2009) NHS Health Check: Vascular Risk Assessment and Management Best Practice Guidance. Department of Health, London
NICE (2012) Preventing type 2 diabetes: risk identification and interventions for individual at high risk (PH38). NICE, London. Available at: www.nice.org.uk/ph38 (accessed 22.01.15)
Rahman M, Simmons RK, Hennings SH et al (2012) How much does screening bring forward the diagnosis of type 2 diabetes and reduce complications? Twelve year follow–up of the Ely cohort. Diabetologia 55: 1651–9
Stone MA, Camosso–Stefinovic J, Wilkinson J et al (2010) Incorrect and incomplete coding and classification of diabetes: a systematic review. Diabet Med 27: 491–7
Tabák AG, Jokela M, Akbaraly TN et al (2009) Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet 373: 2215–21
Tabák AG, Herder C, Rathmann W et al (2012) Prediabetes: a high-risk state for diabetes development. Lancet 379: 2279–90
Tsilidis KK, Kasimis JC, Lopez DS et al (2015) Type 2 diabetes and cancer: umbrella review of meta-analyses of observational studies. BMJ 350: g7240
UK Prospective Diabetes Study Group (1995) Overview of 6 years’ therapy of type II diabetes: a progressive disease. Diabetes 44: 1249–58
UK Prospective Diabetes Study Group (1998) Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet 352: 837–53
Unwin N, Shaw J, Zimmet P, Alberti KG (2002) Impaired glucose tolerance and impaired fasting glycaemia: the current status on definition and intervention. Diabet Med 19: 708–23
Venkataraman K, Kao SL, Thai AC et al (2012) Ethnicity modifies the relation between fasting plasma glucose and HbA1c in Indians, Malays and Chinese. Diabet Med 29: 911–7
Whiting DR, Guariguata L, Weil C, Shaw J (2011) IDF Diabetes Atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 94: 311–21
Wild S, Roglic G, Green A et al (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27: 1047–53
Wilmot EG, Davies MJ, Yates T et al (2010) Type 2 diabetes in younger adults: the emerging UK epidemic. Postgrad Med J 86: 711–8
World Health Organization (2011) Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus. Abbreviated Report of a WHO Consultation. WHO, Geneva, Switzerland. Available at: www.who.int/diabetes/publications/report-hba1c_2011.pdf (accessed 22.01.15)
Yorkshire and Humber Public Health Observatory (2007) Diabetes Key Facts Supplement 2007. YHPHO, York
Yudkin JS, Montori V (2014) The epidemic of pre-diabetes: the medicine and the politics. BMJ 349: g4683

Related content
;
Free for all UK & Ireland healthcare professionals

Sign up to all DiabetesontheNet journals

 

By clicking ‘Subscribe’, you are agreeing that DiabetesontheNet.com are able to email you periodic newsletters. You may unsubscribe from these at any time. Your info is safe with us and we will never sell or trade your details. For information please review our Privacy Policy.

Are you a healthcare professional? This website is for healthcare professionals only. To continue, please confirm that you are a healthcare professional below.

We use cookies responsibly to ensure that we give you the best experience on our website. If you continue without changing your browser settings, we’ll assume that you are happy to receive all cookies on this website. Read about how we use cookies.