Correlation of maternal A1c with glucose infusion rate requirements in the newborn

K Vecera1, S Luedtke2, E Larumbe3

  • 1Department of Pharmacy, Mercy Children's Hospital, St. Louis, MO, USA.

Insights

Maternal A1c levels above 6.8% predict increased glucose infusion rate (GIR) needs in infants of diabetic mothers (IDMs). Higher A1c also correlates with newborn complications like macrosomia.

Area of Science:

  • Neonatalogy
  • Maternal-Fetal Medicine
  • Endocrinology

Background:

  • Poor maternal glycemic control can lead to fetal hyperinsulinemia and neonatal hyperglycemia.
  • Infants of diabetic mothers (IDMs) may require increased glucose infusion rates (GIR).

Purpose of the Study:

  • To correlate maternal A1c levels with GIR requirements in IDMs.
  • To establish a maternal A1c threshold predictive of GIR needs.
  • To identify associations between maternal A1c and IDM complications.

Main Methods:

  • Retrospective review of paired maternal A1c values and IDM GIR requirements.
  • Logistic regression analysis to compare A1c and GIR.
  • Likelihood ratio calculation to determine A1c threshold.

Main Results:

  • Increasing maternal A1c values significantly correlated with GIR ≥ 5 mg/kg/min (OR, 1.37; p = 0.021).
  • Macrosomia was the most frequent complication (OR, 1.31; p = 0.022).
  • A maternal A1c threshold of 6.8% predicted increased GIR requirements.

Conclusions:

  • Elevated maternal A1c is significantly associated with increased GIR requirements in IDMs.
  • Higher maternal A1c levels correlate with newborn complications, particularly macrosomia.
  • A maternal A1c of 6.8% serves as a predictive threshold for increased neonatal glucose needs.
Abstract

Related Concept Videos

Energy-requiring Steps of Glycolysis01:20

Energy-requiring Steps of Glycolysis

Glucose is the source of nearly all energy used by organisms. The first step of converting glucose into usable energy is called glycolysis. Glycolysis occurs in the cytosol of the cell over two phases: an energy-requiring phase and an energy-releasing phase. Over the first three steps, glucose is converted into different forms and attached to two phosphate groups donated by two ATP molecules, resulting in an unstable sugar. In the next two stages, the unstable sugar splits into two sugar...
171.9K
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.5K
Correlation and Causation01:27

Correlation and Causation

Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.9K
Measuring Reaction Rates03:09

Measuring Reaction Rates

Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
30.6K
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K
Requirements for Human Life01:26

Requirements for Human Life

The Earth and its atmosphere have provided humans with air, water, and food, but these are not the only requirements for survival. Humans also require a specific range of temperature and pressure that the Earth and its atmosphere provides.
Oxygen
Atmospheric air is only about 20 percent oxygen, but that oxygen is a key component of the chemical reactions that keep the body alive, including the reactions that produce ATP. Brain cells are susceptible to a lack of oxygen because they require a...
14.0K