Barbara H Bardenheier1, Giuseppina Imperatore2, Heather M Devlin2, Shin Y Kim3, Pyone Cho2, Linda S Geiss2. 1. Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia. Electronic address: bfb7@cdc.gov. 2. Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia. 3. Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia.
Abstract
BACKGROUND: Trends in state-level prevalence of pre-pregnancy diabetes mellitus (PDM; i.e., type 1 or type 2 diabetes diagnosed before pregnancy) among delivery hospitalizations are needed to inform healthcare delivery planning and prevention programs. PURPOSE: To examine PDM trends overall, by age group, race/ethnicity, primary payer, and with comorbidities such as pre-eclampsia and pre-pregnancy hypertension, and to report changes in prevalence over 11 years. METHODS: In 2014, State Inpatient Databases from the Agency for Healthcare Research and Quality were analyzed to identify deliveries with PDM and comorbidities using diagnosis-related group codes and ICD-9-CM codes. General linear regression with a log-link and binomial distribution was used to assess the annual change. RESULTS: Between 2000 and 2010, PDM deliveries increased significantly in all age groups, all race/ethnicity groups, and in all states examined (p<0.01). The age-standardized prevalence of PDM increased from 0.65 per 100 deliveries in 2000 to 0.89 per 100 deliveries in 2010, with a relative change of 37% (p<0.01). Although PDM rates were highest in the South, some of the largest relative increases occurred in five Western states (≥69%). Non-Hispanic blacks had the highest PDM rates and the highest absolute increase (0.26 per 100 deliveries). From 2000 to 2010, the proportion of PDM deliveries with pre-pregnancy hypertension increased significantly (p<0.01) from 7.4% to 14.1%. CONCLUSIONS: PDM deliveries are increasing overall and particularly among those with PDM who have hypertension. Effective diabetes prevention and control strategies for women of childbearing age may help protect their health and that of their newborns. Published by Elsevier Inc.
BACKGROUND: Trends in state-level prevalence of pre-pregnancy diabetes mellitus (PDM; i.e., type 1 or type 2 diabetes diagnosed before pregnancy) among delivery hospitalizations are needed to inform healthcare delivery planning and prevention programs. PURPOSE: To examine PDM trends overall, by age group, race/ethnicity, primary payer, and with comorbidities such as pre-eclampsia and pre-pregnancy hypertension, and to report changes in prevalence over 11 years. METHODS: In 2014, State Inpatient Databases from the Agency for Healthcare Research and Quality were analyzed to identify deliveries with PDM and comorbidities using diagnosis-related group codes and ICD-9-CM codes. General linear regression with a log-link and binomial distribution was used to assess the annual change. RESULTS: Between 2000 and 2010, PDM deliveries increased significantly in all age groups, all race/ethnicity groups, and in all states examined (p<0.01). The age-standardized prevalence of PDM increased from 0.65 per 100 deliveries in 2000 to 0.89 per 100 deliveries in 2010, with a relative change of 37% (p<0.01). Although PDM rates were highest in the South, some of the largest relative increases occurred in five Western states (≥69%). Non-Hispanic blacks had the highest PDM rates and the highest absolute increase (0.26 per 100 deliveries). From 2000 to 2010, the proportion of PDM deliveries with pre-pregnancy hypertension increased significantly (p<0.01) from 7.4% to 14.1%. CONCLUSIONS: PDM deliveries are increasing overall and particularly among those with PDM who have hypertension. Effective diabetes prevention and control strategies for women of childbearing age may help protect their health and that of their newborns. Published by Elsevier Inc.
Authors: Shagufta Yasmeen; Patrick S Romano; Michael E Schembri; Janet M Keyzer; William M Gilbert Journal: Am J Obstet Gynecol Date: 2006-04 Impact factor: 8.661
Authors: A Fagot-Campagna; D J Pettitt; M M Engelgau; N R Burrows; L S Geiss; R Valdez; G L Beckles; J Saaddine; E W Gregg; D F Williamson; K M Narayan Journal: J Pediatr Date: 2000-05 Impact factor: 4.406
Authors: Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella Journal: Hypertension Date: 2003-12-01 Impact factor: 10.190
Authors: Miira M Klemetti; Hannele Laivuori; Minna Tikkanen; Mika Nuutila; Vilho Hiilesmaa; Kari Teramo Journal: Diabetologia Date: 2016-01 Impact factor: 10.122
Authors: Laura E Britton; Jon M Hussey; Jamie L Crandell; Diane C Berry; Jada L Brooks; Amy G Bryant Journal: J Womens Health (Larchmt) Date: 2018-05-14 Impact factor: 2.681
Authors: Tiffany Y Peng; Samantha F Ehrlich; Yvonne Crites; John L Kitzmiller; Michael W Kuzniewicz; Monique M Hedderson; Assiamira Ferrara Journal: Am J Obstet Gynecol Date: 2016-10-15 Impact factor: 8.661
Authors: Islam Y Elgendy; Syed Bukhari; Amr F Barakat; Carl J Pepine; Kathryn J Lindley; Eliza C Miller Journal: Circulation Date: 2021-02-15 Impact factor: 29.690
Authors: Zuelma A Contreras; Beate Ritz; Jasveer Virk; Myles Cockburn; Julia E Heck Journal: Cancer Causes Control Date: 2016-09-09 Impact factor: 2.532