Is Atorvastatin Associated with New Onset Diabetes or Deterioration of Glycemic Control? Systematic Review Using Data

Angeliki M Angelidi1, Emelina Stambolliu1,2, Konstantina I Adamopoulou1

  • 1Society of Junior Doctors, Athens, Greece.

Abstract

Insights

Atorvastatin use is linked to an increased risk of new onset diabetes mellitus (NOD). High-dose atorvastatin may also worsen glycemic control in patients with existing diabetes mellitus (DM).

Area of Science:

  • Cardiovascular Pharmacology
  • Endocrinology
  • Metabolic Syndrome

Background:

  • Statins are associated with increased risk of new onset diabetes mellitus (NOD).
  • High-dose statin therapy can impair glycemic control in patients with diabetes mellitus (DM).

Purpose of the Study:

  • To review the effects of atorvastatin on NOD development.
  • To assess atorvastatin's impact on glycemic control in patients with DM.

Main Methods:

  • Systematic literature search of PubMed for primary studies published until April 2015.
  • Inclusion of 33 studies with 1,951,113 participants.

Main Results:

  • Twenty studies examined atorvastatin's effect on DM; half found no significant glycemic changes, while others showed increased fasting plasma glucose and HbA1c.
  • Thirteen studies investigated atorvastatin and NOD; most indicated a dose-dependent increased risk of NOD.

Conclusions:

  • Atorvastatin treatment is associated with an increased risk of new onset diabetes mellitus (NOD).
  • High-dose atorvastatin can lead to worsening glycemic control in patients with diabetes mellitus (DM).

Related Concept Videos

Mortar Joint Deterioration in Masonry01:13

Mortar Joint Deterioration in Masonry

Mortar joint deterioration is a significant concern in masonry structures, with water accumulation in the joints leading to damage from freeze-thaw cycles. The repeated expansion of water during freezing and its melting during thawing develop and propagate cracks in the masonry joints. Eventually, this leads to the spalling of mortar from the joints, loosening masonry units and weakening the structure. The deteriorated mortar joints are also vulnerable to moisture intrusion into the walls.
The...
356
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...
11.3K
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...
14.9K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.3K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.6K