Preterm birth phenotypes in women with autoimmune rheumatic diseases: A population based cohort study. BJOG : an international journal of obstetrics and gynaecology Kolstad, K. D., Mayo, J. A., Chung, L., Chaichian, Y., Kelly, V. M., Druzin, M., Stevenson, D. K., Shaw, G. M., Simard, J. F. 2019


OBJECTIVE: To investigate preterm birth (PTB) phenotypes in women with different autoimmune rheumatic diseases in a large population-based cohort.DESIGN: Retrospective cohort study.SETTING: California, USA.POPULATION: All live singleton births in California between 2007 and 2011 were analyzed. Patients with autoimmune disease at delivery were identified by ICD-9 codes for systemic lupus erythematosus (SLE), systemic sclerosis (SSc), rheumatoid arthritis (RA), polymyositis/dermatomyositis (DM/PM), and juvenile idiopathic arthritis (JIA).METHODS: Maternally linked hospital and birth certificate records of 2,481,516 deliveries were assessed (SLE n=2,272, RA n=1,501, SSc n=88, JIA n=187, DM/PM n=38). Multivariable Poisson regression models estimated risk ratios (RRs) for different PTB phenotypes (relative to term deliveries) for each autoimmune disease compared to the general obstetric population adjusting for maternal age, race/ethnicity, body mass index, smoking, education, payer, parity, and prenatal care.MAIN OUTCOME MEASURES: PTB was assessed overall (20-36 weeks) and by subphenotype: pre-term premature rupture of membranes (PPROM), spontaneous, or medically indicated PTB. Risk of PTB overall and each phenotype was partitioned by gestational age: early (20-31 weeks) and late (32-36 weeks).RESULTS: Risks for PTB were elevated for each autoimmune disease evaluated: SLE (RR 3.27 95%CI 3.01-3.56), RA (RR 2.04 95%CI 1.79-2.33), SSc (RR 3.74 95%CI 2.51-5.58), JIA (RR 2.23 95%CI 1.54-3.23), and DM/PM (RR 5.26 95%CI 3.12-8.89). These elevated risks were observed for the majority of PTB phenotypes as well.CONCLUSIONS: Women with systemic autoimmune diseases appear to have an elevated risk of various PTB phenotypes. Therefore, preconception counseling and close monitoring during pregnancy is crucial.

View details for DOI 10.1111/1471-0528.15970

View details for PubMedID 31571337