Related Experiment Video
Updated: Feb 21, 2026

05:33
Author Spotlight: Alleviating Nausea and Vomiting in Pregnancy with Safe and Effective Auricular Acupuncture
Published on: August 4, 2023
2.3K
A Prediction Formula for Double Product in Pregnancy
Anita Teli1, Shrilaxmi Bagali2, Ravi Ghatanatti3
1Assistant Professor, Department of Physiology, KLE's J N Medical College , Belagavi, Karnataka, India .
Journal of Clinical and Diagnostic Research : JCDR
|April 5, 2016
Summary
Maternal double product significantly increases throughout pregnancy, driven by elevated heart rate and stroke volume. This finding aids in early detection of preeclampsia and myocardial infarction in pregnant women.
Area of Science:
- Cardiovascular Physiology
- Maternal-Fetal Medicine
Background:
- Pregnancy involves significant maternal cardiovascular adaptations.
- The double product (heart rate × systolic blood pressure) reflects myocardial oxygen demand and cardiac workload.
- Elevated double product is a risk factor in hypertensive individuals.
Purpose of the Study:
- To determine the changes in double product across pregnancy trimesters.
- To compare double product levels between pregnant women and non-pregnant controls.
Main Methods:
- A cross-sectional study involving 220 healthy women (18-35 years).
- Groups included 60 subjects each in the 1st, 2nd, and 3rd trimesters, plus 40 non-pregnant controls.
- Cardiovascular parameters were analyzed using ANOVA and Pearson's correlation.
Main Results:
- A statistically significant increase in double product was observed throughout pregnancy (p=0.000).
- The duration of pregnancy was identified as a predictor of the double product.
- Increased heart rate and stroke volume contribute to the elevated double product.
Conclusions:
- Double product increases progressively during pregnancy due to physiological cardiovascular changes.
- It serves as a valuable predictor for early identification of preeclampsia and acute myocardial infarction in pregnant women.
- Early identification facilitates timely management of pregnancy-related cardiovascular complications.
Keywords:
Acute myocardial infarctionDiastolic blood pressureHeart rateMyocardial oxygen demandSystolic blood pressureMore Related Videos
Related Concept Videos
The Dot Product
277
Measuring how one directional quantity affects another along a specific path involves comparing their orientation and strength. When two such quantities are represented using direction and amount, a numerical result is computed to show how much one acts along the path of the other. This result comes from a rule combining both inputs' horizontal and vertical parts and adding the results.This calculation gives a single value that grows larger when both inputs point in similar directions and...
277
Probability Laws
44.6K
Overview
44.6K
Ovarian Cycle
4.5K
The menstrual cycle includes a critical component known as the ovarian cycle, which undergoes two main phases each month—the follicular phase and the luteal phase. The follicular phase is variable and averaging around 14 days. Ovulation, triggered by a surge in luteinizing hormone (LH), marks the transition between the two phases. The second phase, the luteal phase, is relatively consistent, lasting approximately 14 days, and is marked by the activity of the corpus luteum. While a cycle...
4.5K
Odds Ratio
1.9K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
1.9K
Punnett Squares
126.3K
Overview
126.3K
Determination of Expected Frequency
2.6K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.6K

