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Analysis of Causes of Stillbirth in a Tertiary Care Hospital using ReCoDe Classification System: A Prospective Observational Study
QC16-QC19
Correspondence
Dr. Sangeeta Rani Aggarwal,
Associate Professor, Department of Obstetrics and Gynaecology, Government Medical College and Rajindra Hospital, Patiala-147001, Punjab, India.
E-mail: drsangeetaaggarwal@gmail.com
Introduction: Stillbirths account for a major proportion of perinatal deaths. In many cases of stillbirth, the cause remains unexplained. The ReCoDe system (classification of stillbirths by Relevant Condition at Death) is a frequently used classification system that has helped us to improve the understanding of the causes of stillbirths.
Aim: To identify factors associated with stillbirths and to classify the causes of stillbirths using the ReCoDe system.
Materials and Methods: A prospective observational study was conducted in the Department of Obstetrics and Gynaecology, Government Medical College and Rajindra Hospital, Patiala, Punjab, India, from February 2020 to January 2021. All the mothers with a history of antepartum and intrapartum foetal mortality with the diagnosis of intrauterine foetal death after 20 weeks of gestation were included in the study. A detailed history of the mother was taken and an examination of the mother, stillborn babies, placenta, and umbilical cord was done. ReCoDe system was used to classify the causes of stillbirth. For statistical analysis mean and percentages were used.
Results: There were 287 women with intrauterine foetal death admitted during the study period. Maternal age ranged from 18-40 years, majority (n=157, 54.7%) women belonged to the age group of 24-29 years. The stillbirth rate was 78.95 per 1000 live births. The cause of stillbirth could be explained in 235 (81.89%) cases by using the ReCoDe system. Hypertensive disorders in 91 (31.71%) were the most common cause followed by foetal growth restriction in 46 (16.02%).
Conclusion: According to the present study ReCoDe system was useful in classifying the causes of stillbirths in the resource-limited settings.