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The Impact of Coronary Artery Disease on Outcomes in Patients Hospitalized With Pre-eclampsia
Omar Elkattawy1, Yash Shah2, Shakhzoda Alimdjanova1
1Internal Medicine, Rutgers University New Jersey Medical School, Newark, USA.
Introduction Pre-eclampsia leads to long-lasting cardiovascular effects in women in the postpartum period, but prevalence and in-hospital adverse events of coronary artery disease (CAD) in women with pre-eclampsia are poorly understood. The prevalence, outcomes, and mortality risks identified in this study allow for possible routes of clinical intervention of CAD in women with pre-eclampsia. The purpose of this study was to determine the prevalence and outcomes of CAD in women diagnosed with pre-eclampsia compared to those with pre-eclampsia with no history of CAD. Predictors of mortality in pre-eclampsia were also analyzed. Methods Data were obtained from the National Inpatient Sample from January 2016 to December 2019. We used the multivariate logistic regression to assess the independent association of CAD with outcomes in patients admitted with pre-eclampsia. We also used the multivariate logistic regression to analyze predictors of mortality in patients hospitalized with pre-eclampsia. Results Women with pre-eclampsia admitted between January 2016 and December 2019 were included in our analysis. A total of 256,010 patients were diagnosed with pre-eclampsia. Of these patients, 174 (0.1%) patients had CAD. Multivariate analysis demonstrated that CAD in patients with pre-eclampsia was independently associated with angioplasty (adjusted odds ratio [aOR] 62.28; 95% CI 20.459-189.591; p=0.001), permanent pacemaker (aOR 35.129; 95% CI 13.821-89.287; p=0.001), left heart catheterization (aOR 29.416; 95% CI 7.236-119.557; p=0.001), non-ST-elevation myocardial infarction (NSTEMI) (aOR 25.832; 95% CI 7.653-87.189; p=0.001), and congestive heart failure (CHF) (aOR 13.948; 95% CI 7.648-25.438; p=0.001). We also used the multivariate logistic regression model to assess predictors of mortality in patients admitted with pre-eclampsia. These included age at admission (aOR 1.064; 95% CI 1.009-1.121; p=0.021), Asian/Pacific-Islander race (aOR 4.893; 95% CI 1.884-12.711; p=0.001), and comorbidities such as CHF (aOR 19.405; 95% CI 6.408-58.768; p=0.001), eclampsia (aOR 17.253; 95% CI 5.323-55.924; p=0.001), syndrome of HELLP (hemolysis, elevated liver enzymes, low platelets) (aOR 6.204; 95% CI 2.849-13.510; p=0.001), coagulopathy (aOR 6.524; 95% CI 1.997-21.308; p=0.002), and liver disease (aOR 5.217; 95% CI 1.156-23.554; p=0.032). Conclusion In a large cohort of patients admitted with pre-eclampsia, we found the prevalence of CAD to be 0.1%. CAD was associated with several clinical outcomes, including NSTEMI. Predictors of mortality in patients with pre-eclampsia included demographic variables such as age and Asian race, as well as comorbidities such as CHF and coagulopathy.
Introduction Pre-eclampsia leads to long-lasting cardiovascular effects in women in the postpartum period, but prevalence and in-hospital adverse events of coronary artery disease (CAD) in women with pre-eclampsia are poorly understood. The prevalence, outcomes, and mortality risks identified in this study allow for possible routes of clinical intervention of CAD in women with pre-eclampsia. The purpose of this study was to determine the prevalence and outcomes of CAD in women diagnosed with pre-eclampsia compared to those with pre-eclampsia with no history of CAD. Predictors of mortality in pre-eclampsia were also analyzed. Methods Data were obtained from the National Inpatient Sample from January 2016 to December 2019. We used the multivariate logistic regression to assess the independent association of CAD with outcomes in patients admitted with pre-eclampsia. We also used the multivariate logistic regression to analyze predictors of mortality in patients hospitalized with pre-eclampsia. Results Women with pre-eclampsia admitted between January 2016 and December 2019 were included in our analysis. A total of 256,010 patients were diagnosed with pre-eclampsia. Of these patients, 174 (0.1%) patients had CAD. Multivariate analysis demonstrated that CAD in patients with pre-eclampsia was independently associated with angioplasty (adjusted odds ratio [aOR] 62.28; 95% CI 20.459-189.591; p=0.001), permanent pacemaker (aOR 35.129; 95% CI 13.821-89.287; p=0.001), left heart catheterization (aOR 29.416; 95% CI 7.236-119.557; p=0.001), non-ST-elevation myocardial infarction (NSTEMI) (aOR 25.832; 95% CI 7.653-87.189; p=0.001), and congestive heart failure (CHF) (aOR 13.948; 95% CI 7.648-25.438; p=0.001). We also used the multivariate logistic regression model to assess predictors of mortality in patients admitted with pre-eclampsia. These included age at admission (aOR 1.064; 95% CI 1.009-1.121; p=0.021), Asian/Pacific-Islander race (aOR 4.893; 95% CI 1.884-12.711; p=0.001), and comorbidities such as CHF (aOR 19.405; 95% CI 6.408-58.768; p=0.001), eclampsia (aOR 17.253; 95% CI 5.323-55.924; p=0.001), syndrome of HELLP (hemolysis, elevated liver enzymes, low platelets) (aOR 6.204; 95% CI 2.849-13.510; p=0.001), coagulopathy (aOR 6.524; 95% CI 1.997-21.308; p=0.002), and liver disease (aOR 5.217; 95% CI 1.156-23.554; p=0.032). Conclusion In a large cohort of patients admitted with pre-eclampsia, we found the prevalence of CAD to be 0.1%. CAD was associated with several clinical outcomes, including NSTEMI. Predictors of mortality in patients with pre-eclampsia included demographic variables such as age and Asian race, as well as comorbidities such as CHF and coagulopathy.
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