Vijayram Ramya, Damaraju Nikhita, Xavier Ashley, Desiraju Bapu Koundinya, Thiruvengadam Ramachandran, Misra Sumit, Chopra Shilpa, Khurana Ashok, Wadhwa Nitya, Rengaswamy Raghunathan, Sinha Himanshu, Bhatnagar Shinjini
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India.
Centre for Integrative Biology and Systems Medicine, Indian Institute of Technology Madras, Chennai, India.
BMC Pregnancy Childbirth. 2021 Apr 30;21(1):343. doi: 10.1186/s12884-021-03807-4.
Different formulae have been developed globally to estimate gestational age (GA) by ultrasonography in the first trimester of pregnancy. In this study, we develop an Indian population-specific dating formula and compare its performance with published formulae. Finally, we evaluate the implications of the choice of dating method on preterm birth (PTB) rate. This study's data was from GARBH-Ini, an ongoing pregnancy cohort of North Indian women to study PTB.
Comparisons between ultrasonography-Hadlock and last menstrual period (LMP) based dating methods were made by studying the distribution of their differences by Bland-Altman analysis. Using data-driven approaches, we removed data outliers more efficiently than by applying clinical parameters. We applied advanced machine learning algorithms to identify relevant features for GA estimation and developed an Indian population-specific formula (Garbhini-GA1) for the first trimester. PTB rates of Garbhini-GA1 and other formulae were compared by estimating sensitivity and accuracy.
Performance of Garbhini-GA1 formula, a non-linear function of crown-rump length (CRL), was equivalent to published formulae for estimation of first trimester GA (LoA, - 0.46,0.96 weeks). We found that CRL was the most crucial parameter in estimating GA and no other clinical or socioeconomic covariates contributed to GA estimation. The estimated PTB rate across all the formulae including LMP ranged 11.27-16.50% with Garbhini-GA1 estimating the least rate with highest sensitivity and accuracy. While the LMP-based method overestimated GA by 3 days compared to USG-Hadlock formula; at an individual level, these methods had less than 50% agreement in the classification of PTB.
An accurate estimation of GA is crucial for the management of PTB. Garbhini-GA1, the first such formula developed in an Indian setting, estimates PTB rates with higher accuracy, especially when compared to commonly used Hadlock formula. Our results reinforce the need to develop population-specific gestational age formulae.
全球已开发出不同的公式,用于通过超声检查估计妊娠早期的孕周(GA)。在本研究中,我们开发了一个针对印度人群的孕周计算公式,并将其性能与已发表的公式进行比较。最后,我们评估孕周计算方法的选择对早产(PTB)率的影响。本研究的数据来自GARBH-Ini,这是一个正在进行的北印度女性妊娠队列,用于研究早产。
通过Bland-Altman分析研究超声检查-Hadlock法与基于末次月经日期(LMP)的孕周计算方法之间差异的分布,对二者进行比较。使用数据驱动的方法,我们比应用临床参数更有效地去除了数据异常值。我们应用先进的机器学习算法来识别与孕周估计相关的特征,并开发了一个针对妊娠早期的印度人群特异性公式(Garbhini-GA1)。通过估计敏感性和准确性,比较了Garbhini-GA1和其他公式的早产率。
Garbhini-GA1公式是顶臀长度(CRL)的非线性函数,其在估计妊娠早期孕周方面的性能与已发表的公式相当(一致性界限,-0.46,0.96周)。我们发现CRL是估计孕周的最关键参数,没有其他临床或社会经济协变量对孕周估计有贡献。包括LMP在内的所有公式估计的早产率在11.27%-16.50%之间,Garbhini-GA1估计的早产率最低,敏感性和准确性最高。与超声检查-Hadlock公式相比,基于LMP的方法将孕周高估了3天;在个体水平上,这些方法在早产分类中的一致性不到50%。
准确估计孕周对于早产管理至关重要。Garbhini-GA1是在印度环境中开发的第一个此类公式,其估计早产率的准确性更高,特别是与常用的Hadlock公式相比。我们的结果强化了开发人群特异性孕周公式的必要性。