Achieving comparability in glycemic control between antidiabetic treatment strategies in pregnancy when using real world data

Author:

Cesta Carolyn E.12ORCID,Hernández‐Díaz Sonia1ORCID,Huybrechts Krista F.3ORCID,Bateman Brian T.34,Vine Seanna3,Seely Ellen W.5,Patorno Elisabetta3ORCID

Affiliation:

1. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston USA

2. Centre for Pharmacoepidemiology, Department of Medicine Solna Karolinska Institutet Stockholm Sweden

3. Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts USA

4. Department of Anesthesiology, Perioperative and Pain Medicine Stanford University School of Medicine Palo Alto California USA

5. Endocrinology, Diabetes and Hypertension Division Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts USA

Abstract

AbstractPurposeHealthcare utilization databases often lack information on glycemic control, a key confounder when studying the safety of antidiabetic treatments, since patients with worse control are channeled to second‐line agents, in particular insulin, versus first‐line agents such as metformin. We evaluated whether adjustment for measured characteristics attains balance in glycemic control when comparing antidiabetic treatment strategies in pregnant women with pregestational type 2 diabetes (T2DM).MethodsIn a US insurance claims database, we identified 3360 women with T2DM pregnant between 2004 and 2015, of whom a subset of 996 had data on hemoglobin A1c (HbA1c) levels. We selected insulin only as the comparator group and used propensity score (PS)‐matching on comorbidities and proxies of diabetes severity, but not on HbA1c, to adjust for confounding. We used standardized differences (st.diff) to assess balance in claims‐based covariates and mean HbA1c (% ± SD) in the subset.ResultsThere were imbalances in claims‐based covariates before PS‐matching, with smaller differences when both treatment strategies included insulin. After PS‐matching, balance was achieved in most claims‐based covariates (st.diff <0.1). Mean HbA1c was similar before and after PS‐matching when both treatments included insulin (e.g., 7.1 ± 1.5 vs. 7.7 ± 1.8 and 7.1 ± 1.5 vs. 7.5 ± 1.7, respectively, for metformin + insulin vs. insulin only). Differences in mean HbA1c remained after PS‐matching when non‐insulin treatments were compared to treatments including insulin (e.g., 6.3 ± 1.1 vs. 7.6 ± 1.7 for metformin only vs. insulin only).ConclusionsBalance in both claims‐based characteristics and glycemic control was attained after restricting the population to women with T2DM and comparing treatment strategies indicated for patients with similar diabetes severity. When comparing treatment strategies with versus without insulin, differences in glycemic control persisted after PS‐matching even when balance was attained for other measured characteristics.

Funder

National Institute of Child Health and Human Development

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Reference28 articles.

1. Prevalence and Changes in Preexisting Diabetes and Gestational Diabetes Among Women Who Had a Live Birth — United States, 2012–2016

2. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

3. Antidiabetic medication use during pregnancy: an international utilization study

4. The use of glucose‐lowering medications for the treatment of type 2 diabetes mellitus during pregnancy in the United States;Wood ME;Endocrinol Diab Metab,2021

5. 9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes‐2021;American Diabetes Association;Diabetes Care,2021

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