A Systematic Review of Antenatal Risk Scoring Systems in India to Predict Adverse Neonatal Outcomes

Dinesh Raj Pallepogula1, Adhisivam Bethou1, Vishnu Bhat Ballambatu2

  • 1Department of Neonatology, JIPMER Puducherry, Puducherry, India.

Insights

Indian antenatal scoring systems show high sensitivity but low specificity for predicting adverse neonatal outcomes. A systematically developed system is needed to improve mother and child health programs.

Area of Science:

  • Maternal Health
  • Neonatal Outcomes
  • Public Health Interventions

Background:

  • Antenatal care (ANC) aims to identify high-risk pregnancies and optimize resource allocation.
  • Antenatal scoring systems are used globally to manage synergistic risk factors.
  • Predicting adverse neonatal outcomes is crucial for effective maternal and child health.

Purpose of the Study:

  • To systematically review antenatal risk scoring systems developed and utilized in India.
  • To evaluate the effectiveness of these systems in predicting adverse neonatal outcomes.

Main Methods:

  • Systematic review of articles published between January 2000 and April 2020.
  • Searched multiple databases including Embase, MEDLINE/PubMed, and Cochrane Library.
  • Assessed study quality using the Prediction model study Risk Of Bias Assessment Tool (PROBAST).

Main Results:

  • Six studies were identified, with one developing a new system and five using existing ones.
  • The developed scoring system exhibited a high risk of bias and concerns regarding applicability.
  • Overall sensitivity was high (77.4%), but specificity (45%), positive predictive value (15.3%), and negative predictive value (94.2%) varied.

Conclusions:

  • Existing antenatal scoring systems in India have limitations in predicting adverse neonatal outcomes.
  • There is a critical need for a systematically developed and validated antenatal scoring system for the Indian population.
  • Such a system could significantly enhance the implementation of mother and child health programs.
Abstract