Delayed-Interval Delivery of Twin Gestation via Cesarean Section: A Case Report

Suzanne Cao1, Logan Walter1, Guillermo J Valenzuela1

  • 1Department of Women's Health, Arrowhead Regional Medical Center, Colton, CA, USA.

BACKGROUND Multifetal pregnancies are at high risk for preterm delivery. Under certain circumstances, delayed vaginal delivery of the second twin is performed to improve morbidity and mortality. Most of the information on optimal management of delayed-interval delivery comes from published case reports in which the first twin was delivered vaginally. This case report is unique in that twin A was delivered via cesarean section. CASE REPORT Our patient was a 21-year-old G2P1, with dichorionic diamniotic twins of unknown gestational age, with prenatal care at a different facility, who presented with preterm prelabor rupture of membranes and cord prolapse. Twin A, with an estimated weight by ultrasound of 528 g, was delivered via cesarean section and twin B was left in utero until the patient went into preterm labor 10 days later. Obstetrical management included tocolytic protocol from the Management of Myelomeningocele Study trial, preterm prelabor rupture of membrane antibiotics with broad-spectrum coverage, and judicious use of fetal lung maturity steroids and magnesium sulfate. CONCLUSIONS This case is important as we have demonstrated that cesarean section in the setting of delayed-interval delivery may be an option to improve survival at the limits of viability. We also discussed our treatment approach and how we delayed delivery of the second twin by 10 days. Unexpectedly, the surviving twin was the one born first, at 22 4/7 weeks determined 2 days after birth by prenatal records.

Related Concept Videos

Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.3K
Confidence Intervals01:21

Confidence Intervals

An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
10.2K
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...
4.4K
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
10.4K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
9.4K
Interval Level of Measurement00:55

Interval Level of Measurement

For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
18.2K