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Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)

BACKGROUND: Women with polycystic ovary syndrome (PCOS) have an increased risk of pregnancy‐associated complications. However, data on peripartum cardiovascular complications remain limited. Hence, we investigated trends, outcomes, and predictors of cardiovascular complications associated with PCOS...

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Autores principales: Zahid, Salman, Khan, Muhammad Zia, Gowda, Smitha, Faza, Nadeen N., Honigberg, Michael C., Vaught, Arthur (Jason), Guan, Carolyn, Minhas, Anum S., Michos, Erin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496311/
https://www.ncbi.nlm.nih.gov/pubmed/35708290
http://dx.doi.org/10.1161/JAHA.121.025839
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author Zahid, Salman
Khan, Muhammad Zia
Gowda, Smitha
Faza, Nadeen N.
Honigberg, Michael C.
Vaught, Arthur (Jason)
Guan, Carolyn
Minhas, Anum S.
Michos, Erin D.
author_facet Zahid, Salman
Khan, Muhammad Zia
Gowda, Smitha
Faza, Nadeen N.
Honigberg, Michael C.
Vaught, Arthur (Jason)
Guan, Carolyn
Minhas, Anum S.
Michos, Erin D.
author_sort Zahid, Salman
collection PubMed
description BACKGROUND: Women with polycystic ovary syndrome (PCOS) have an increased risk of pregnancy‐associated complications. However, data on peripartum cardiovascular complications remain limited. Hence, we investigated trends, outcomes, and predictors of cardiovascular complications associated with PCOS diagnosis during delivery hospitalizations in the United States. METHODS AND RESULTS: We used data from the National Inpatient Sample (2002–2019). International Classification of Diseases, Ninth Revision (ICD‐9), or International Classification of Diseases, Tenth Revision (ICD‐10), codes were used to identify delivery hospitalizations and PCOS diagnosis. A total of 71 436 308 weighted hospitalizations for deliveries were identified, of which 0.3% were among women with PCOS (n=195 675). The prevalence of PCOS, and obesity among those with PCOS, increased during the study period. Women with PCOS were older (median, 31 versus 28 years; P<0.01) and had a higher prevalence of diabetes, obesity, and dyslipidemia. After adjustment for age, race and ethnicity, comorbidities, insurance, and income, PCOS remained an independent predictor of cardiovascular complications, including preeclampsia (adjusted odds ratio [OR], 1.56 [95% CI, 1.54–1.59]; P<0.01), eclampsia (adjusted OR, 1.58 [95% CI, 1.54–1.59]; P<0.01), peripartum cardiomyopathy (adjusted OR, 1.79 [95% CI, 1.49–2.13]; P<0.01), and heart failure (adjusted OR, 1.76 [95% CI, 1.27–2.45]; P<0.01), compared with no PCOS. Moreover, delivery hospitalizations among women with PCOS were associated with increased length (3 versus 2 days; P<0.01) and cost of hospitalization ($4901 versus $3616; P<0.01). CONCLUSIONS: Women with PCOS had a higher risk of preeclampsia/eclampsia, peripartum cardiomyopathy, and heart failure during delivery hospitalizations. Moreover, delivery hospitalizations among women with PCOS diagnosis were associated with increased length and cost of hospitalization. This signifies the importance of prepregnancy consultation and optimization for cardiometabolic health to improve maternal and neonatal outcomes.
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spelling pubmed-94963112022-09-30 Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019) Zahid, Salman Khan, Muhammad Zia Gowda, Smitha Faza, Nadeen N. Honigberg, Michael C. Vaught, Arthur (Jason) Guan, Carolyn Minhas, Anum S. Michos, Erin D. J Am Heart Assoc Original Research BACKGROUND: Women with polycystic ovary syndrome (PCOS) have an increased risk of pregnancy‐associated complications. However, data on peripartum cardiovascular complications remain limited. Hence, we investigated trends, outcomes, and predictors of cardiovascular complications associated with PCOS diagnosis during delivery hospitalizations in the United States. METHODS AND RESULTS: We used data from the National Inpatient Sample (2002–2019). International Classification of Diseases, Ninth Revision (ICD‐9), or International Classification of Diseases, Tenth Revision (ICD‐10), codes were used to identify delivery hospitalizations and PCOS diagnosis. A total of 71 436 308 weighted hospitalizations for deliveries were identified, of which 0.3% were among women with PCOS (n=195 675). The prevalence of PCOS, and obesity among those with PCOS, increased during the study period. Women with PCOS were older (median, 31 versus 28 years; P<0.01) and had a higher prevalence of diabetes, obesity, and dyslipidemia. After adjustment for age, race and ethnicity, comorbidities, insurance, and income, PCOS remained an independent predictor of cardiovascular complications, including preeclampsia (adjusted odds ratio [OR], 1.56 [95% CI, 1.54–1.59]; P<0.01), eclampsia (adjusted OR, 1.58 [95% CI, 1.54–1.59]; P<0.01), peripartum cardiomyopathy (adjusted OR, 1.79 [95% CI, 1.49–2.13]; P<0.01), and heart failure (adjusted OR, 1.76 [95% CI, 1.27–2.45]; P<0.01), compared with no PCOS. Moreover, delivery hospitalizations among women with PCOS were associated with increased length (3 versus 2 days; P<0.01) and cost of hospitalization ($4901 versus $3616; P<0.01). CONCLUSIONS: Women with PCOS had a higher risk of preeclampsia/eclampsia, peripartum cardiomyopathy, and heart failure during delivery hospitalizations. Moreover, delivery hospitalizations among women with PCOS diagnosis were associated with increased length and cost of hospitalization. This signifies the importance of prepregnancy consultation and optimization for cardiometabolic health to improve maternal and neonatal outcomes. John Wiley and Sons Inc. 2022-06-16 /pmc/articles/PMC9496311/ /pubmed/35708290 http://dx.doi.org/10.1161/JAHA.121.025839 Text en © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Zahid, Salman
Khan, Muhammad Zia
Gowda, Smitha
Faza, Nadeen N.
Honigberg, Michael C.
Vaught, Arthur (Jason)
Guan, Carolyn
Minhas, Anum S.
Michos, Erin D.
Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title_full Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title_fullStr Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title_full_unstemmed Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title_short Trends, Predictors, and Outcomes of Cardiovascular Complications Associated With Polycystic Ovary Syndrome During Delivery Hospitalizations: A National Inpatient Sample Analysis (2002–2019)
title_sort trends, predictors, and outcomes of cardiovascular complications associated with polycystic ovary syndrome during delivery hospitalizations: a national inpatient sample analysis (2002–2019)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496311/
https://www.ncbi.nlm.nih.gov/pubmed/35708290
http://dx.doi.org/10.1161/JAHA.121.025839
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