Introduction: There is a scarcity of report on the impact of leiomyoma on patients admitted for preeclampsia. Our study sought to estimate the impact of Leiomyoma on clinical outcomes of hospitalizations for preeclampsia using a national database. 

Methods: We queried the National Inpatient Sample (NIS) 2016 and 2017 database. The NIS is the largest inpatient hospitalization database in the United States. The NIS was searched for hospitalization of adult patients with pre-eclampsia as a principal diagnosis with and without leiomyoma as a secondary diagnosis using ICD-10 codes. The primary outcome was inpatient mortality while the secondary outcomes were hospital length of stay (LOS) and total hospital charge. STATA software was used for analysis. Multivariable logistic and linear regression analysis was used accordingly to adjust for confounders. 

Results: There were over 71 million discharges in the combined 2016 and 2017 NIS database. Out of 317,279 pre-eclampsia hospitalizations, 2.3% had leiomyoma. The pre-eclampsia group with leiomyoma had a statistically significant adjusted increase in mean hospital charge of $8,713 (95% CI 6,782.25 – 10,645.39 P<0.0001) and a 1.2 day increase in LOS (95% CI 0.96 – 1.49, P= <0.0001) compared to those without leiomyoma. There was no difference in mortality between both groups (AOR of 1). Conclusion: In conclusion, leiomyoma resulted in increased LOS and total hospital charge with no difference in mortality in patients hospitalized with pre-eclampsia.