Utilizing Modified Coopland's Scoring System to Identify and Predict the Outcome of High-Risk Pregnancies in

Bhoomika Biradar1, Manoj Mathew1, Naveen Ramesh2

  • 1Rural Service, St. John's Medical College, Bangalore, IND.

Cureus
|September 2, 2024
PubMed

Introduction A high-risk pregnancy is associated with adverse maternal and foetal outcomes. Women with high-risk pregnancies are at a greater risk of developing antepartum haemorrhage, miscarriages, and the need for surgical interventions. Neonatal complications include preterm births, low birth weight (LBW), intra-uterine deaths and an increased need for NICU admission. The utilisation of low-cost scoring tools for identifying high-risk women can aid in early diagnosis and timely implementation of therapeutic interventions.  Objective The retrospective record-based study sought to calculate the proportion of high-risk pregnancies using modified Coopland's scoring system and compare the maternal and foetal outcomes among high-risk pregnancies. Methods The study retrospectively analysed the records of antenatal women in their third trimester from the years December 2018 to December 2021. Each record was then numerically assessed according to the modified Coopland's scoring system and categorised according to the risk status. Maternal and neonatal outcomes were then compared across the risk groups. Results The data included 300 cases over a three-year period. According to modified Coopland's scoring system, we found that the overall proportion of high-risk pregnancies was 18.3%. Adverse maternal and fetal outcomes were increased in high-risk pregnancy groups when compared to low-risk pregnancies, miscarriages (31.6% vs 15.8%) and antepartum haemorrhage (55.6% vs 11.1%). Babies born to high-risk mothers had a higher chance of developing LBW status (52.0%) and respiratory distress (45.5%) when compared to those born to low-risk mothers: 8.0% and 13.6%, respectively. Conclusion A notable portion of pregnant women were classified as high-risk using modified Coopland's scoring tool and would benefit from targeted obstetric care.

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
124
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
10.4K
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
270
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
111
Odds Ratio01:09

Odds Ratio

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...
114
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
104