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Background <p>High-risk pregnancies significantly contribute to maternal and perinatal morbidity and mortality, especially in low-resource settings. The Modified Coopland’s Risk Scoring System offers a structured approach for early identification and stratification of antenatal risk, facilitating timely intervention and referral.</p> Objectives <p>To assess the utility of the Modified Coopland’s Risk Scoring System in predicting maternal and perinatal outcomes among antenatal women in a tertiary care hospital in South India.</p> Methods <p>A prospective cohort study was conducted over 18&#xa0;months, enrolling 400 pregnant women beyond 28&#xa0;weeks of gestation. Participants were stratified into low (0–3), moderate (4–6), and high (≥ 7) risk categories based on the Modified Coopland’s Score. Maternal outcomes (cesarean section, postpartum hemorrhage, blood transfusion, wound infection) and perinatal outcomes (birth weight, gestational age, APGAR score, NICU admission, perinatal mortality) were recorded and statistically analyzed.</p> Results <p>Half of the study participants were low-risk, while 30% and 20% fell into moderate- and high-risk groups, respectively. High-risk pregnancies were significantly associated with adverse outcomes: cesarean Section (81.3% vs. 15.0%, <i>p</i> &lt; 0.0001), PPH (27.5% vs. 3.0%, <i>p</i> &lt; 0.0001), blood transfusion (22.5% vs. 1.5%, <i>p</i> &lt; 0.0001), and NICU admission (52.5% vs. 7.5%, <i>p</i> &lt; 0.0001). Perinatal mortality was also notably higher in the high-risk group (11.3% vs. 0%, <i>p</i> = 0.002).</p> Conclusion <p>The Modified Coopland’s Scoring System is a simple, cost-effective, and reliable tool for antenatal risk assessment. Its integration into routine obstetric care, particularly in resource-constrained settings, can improve maternal and neonatal outcomes through early identification and management of high-risk cases. Wider implementation could support national health goals and global SDG targets aimed at reducing maternal and perinatal mortality.</p>

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Risk Scoring Using Modified Coopland’s Scoring System in Pregnancy and its Association with Maternal and Perinatal Outcome

  • 期刊论文

  • 发表日期：

    2026年2月5日

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  • C. Sruthi,
  • S. Pradeep,
  • B. G. Harish Babu,
  • Keshav Gangadharan,
  • Sunkesula Naga Poojitha

摘要

Background

High-risk pregnancies significantly contribute to maternal and perinatal morbidity and mortality, especially in low-resource settings. The Modified Coopland’s Risk Scoring System offers a structured approach for early identification and stratification of antenatal risk, facilitating timely intervention and referral.

Objectives

To assess the utility of the Modified Coopland’s Risk Scoring System in predicting maternal and perinatal outcomes among antenatal women in a tertiary care hospital in South India.

Methods

A prospective cohort study was conducted over 18 months, enrolling 400 pregnant women beyond 28 weeks of gestation. Participants were stratified into low (0–3), moderate (4–6), and high (≥ 7) risk categories based on the Modified Coopland’s Score. Maternal outcomes (cesarean section, postpartum hemorrhage, blood transfusion, wound infection) and perinatal outcomes (birth weight, gestational age, APGAR score, NICU admission, perinatal mortality) were recorded and statistically analyzed.

Results

Half of the study participants were low-risk, while 30% and 20% fell into moderate- and high-risk groups, respectively. High-risk pregnancies were significantly associated with adverse outcomes: cesarean Section (81.3% vs. 15.0%, p < 0.0001), PPH (27.5% vs. 3.0%, p < 0.0001), blood transfusion (22.5% vs. 1.5%, p < 0.0001), and NICU admission (52.5% vs. 7.5%, p < 0.0001). Perinatal mortality was also notably higher in the high-risk group (11.3% vs. 0%, p = 0.002).

Conclusion

The Modified Coopland’s Scoring System is a simple, cost-effective, and reliable tool for antenatal risk assessment. Its integration into routine obstetric care, particularly in resource-constrained settings, can improve maternal and neonatal outcomes through early identification and management of high-risk cases. Wider implementation could support national health goals and global SDG targets aimed at reducing maternal and perinatal mortality.