Economic Burden of Cardiovascular Disease in Type 2 Diabetes: A Systematic Review

Thomas R Einarson1, Annabel Acs2, Craig Ludwig2

  • 1Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.

Insights

Cardiovascular diseases (CVD) significantly increase treatment costs for type 2 diabetes mellitus (T2DM). This review highlights the substantial economic burden of CVD in T2DM patients at both individual and population levels.

Area of Science:

  • Medical Economics
  • Public Health
  • Diabetes Management

Background:

  • Cardiovascular diseases (CVD) are major comorbidities in type 2 diabetes mellitus (T2DM).
  • CVD significantly contributes to the treatment costs associated with T2DM.
  • An updated overview of the economic burden of CVD in T2DM is lacking.

Purpose of the Study:

  • To systematically review published literature on the costs of treating CVD in individuals with T2DM.
  • To provide an updated overview of the economic burden of CVD in T2DM.

Main Methods:

  • Systematic review of MEDLINE, Embase, and scientific meeting abstracts (2007-2017).
  • Inclusion of studies reporting direct costs at macro (population) or micro (patient) levels.
  • Cost data adjusted to 2016 USD values per patient per year.

Main Results:

  • CVD costs represent 20%-49% of total direct T2DM treatment costs at the population level.
  • Median annual costs for CVD, coronary artery disease, heart failure, and stroke were 112%, 107%, 59%, and 322% higher, respectively, in T2DM patients with CVD.
  • Treating patients with both CVD and T2DM increased costs by $3418-$9705 annually per patient compared to T2DM alone.

Conclusions:

  • CVD imposes a substantial economic burden on direct medical costs for T2DM.
  • This impact is evident at both patient and population levels globally.
  • Understanding this economic burden is crucial for T2DM management and healthcare resource allocation.
Abstract

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
5.0K
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
577
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
5.4K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.5K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.1K