Shields Lisa Be, Weymouth Clayton, Bramer Kevin L, Robinson Scott, McGee Donna, Richards Lori, Ogle Corey, Shields Christopher B
Norton Neuroscience Institute, Norton Healthcare, Louisville, KY, USA.
Lucina Health, Inc., Louisville, KY, USA.
SAGE Open Med. 2021 Jan 12;9:2050312120986729. doi: 10.1177/2050312120986729. eCollection 2021.
Preterm birth poses a significant challenge. This study evaluated a real-time scoring algorithm to identify and stratify pregnancies to indicate preterm birth.
All claims data of pregnant women were reviewed between 1 January 2014 and 31 October 2018 in Kentucky.
A total of 29,166 unique women who were matched to a live newborn were documented, with the pregnancy identified during the first trimester in 54.1% of women. Negative predictive values, sensitivity, and positive likelihood ratios increased from the first to third trimesters as pregnant women who were matched to a live newborn had more visits with their physicians. The area under the receiving-operating characteristics curve on test data classifying preterm birth was 0.59 for pregnancies identified during the first trimester, 0.62 for pregnancies identified in the second trimester, and 0.73 for pregnancies identified in the third trimester.
This study presents a real-time scoring algorithm of indicating preterm birth in the first trimester of gestation which permits stratification of pregnancies to provide more efficient early care management.
早产是一项重大挑战。本研究评估了一种实时评分算法，用于识别和分层妊娠以预测早产。
回顾了2014年1月1日至2018年10月31日期间肯塔基州所有孕妇的索赔数据。
共记录了29166名与活产新生儿匹配的独特女性，其中54.1%的女性在孕早期确诊妊娠。随着与活产新生儿匹配的孕妇就诊次数增多，从孕早期到孕晚期，阴性预测值、敏感性和阳性似然比均有所增加。在测试数据中，用于分类早产的受试者工作特征曲线下面积，孕早期确诊妊娠的为0.59，孕中期确诊妊娠的为0.62，孕晚期确诊妊娠的为0.73。
本研究提出了一种在妊娠早期预测早产的实时评分算法，可对妊娠进行分层，以提供更有效的早期护理管理。
